@Article{info:doi/10.2196/64131, author="Dougherty, Kylie and Tesfaye, Yihenew and Biza, Heran and Belew, Mulusew and Benda, Natalie and Gebremariam Gobezayehu, Abebe and Cranmer, John and Bakken, Suzanne", title="User-Centered Design of an Electronic Dashboard for Monitoring Facility-Level Basic Emergency Obstetric Care Readiness in Amhara, Ethiopia: Mixed Methods Study", journal="JMIR Hum Factors", year="2025", month="Apr", day="3", volume="12", pages="e64131", keywords="health information technology", keywords="design and evaluation", keywords="Ethiopia", keywords="usability", keywords="nursing informatics", keywords="user-centered design", keywords="basic emergency obstetric care", keywords="obstetric", keywords="nurse", keywords="user-centered", keywords="design", keywords="maternal mortality", keywords="maternal", keywords="develop", keywords="sub-Saharan Africa", keywords="Africa", keywords="dashboard", keywords="tracking", keywords="emergency care", abstract="Background: Maternal mortality remains a persistent public health concern in sub-Saharan African countries such as Ethiopia. Health information technology solutions are a flexible and low-cost method for improving health outcomes with proven benefits in low- to middle-income countries' health systems. Objective: This study aimed to develop and assess the usability of an electronic dashboard to monitor facility-level readiness to manage basic emergency obstetric care (BEmOC) in Amhara, Ethiopia. Methods: The study used three methods to iteratively refine the dashboard: (1) user-centered design sessions with individuals who interact with the BEmOC supply chain, (2) review and feedback from domain and information visualization subject matter experts (SMEs) to refine the dashboard, and (3) usability heuristic evaluation with human-computer interaction (HCI) SMEs. Results: User-centered design sessions resulted in a preliminary version of the dashboard informed by end-user preferences and perceptions, with recommendations focusing on aesthetic design, filtering and sorting, and matching with the real world. An example of an end-user recommendation included increasing font sizes on the dashboard and using a red, yellow, and green color-coding scheme. Next, domain and visualization SMEs continued the dashboard's iterative refinement, focusing on aesthetic design and navigation, by confirming design choices incorporated from the user-centered design sessions and recommending changes to enhance user experience moving through the dashboard, such as adding more filtering options. HCI SMEs rated the dashboard as highly usable (0.82 on a scale of 0-4, with 0 being no usability concern and 4 being a catastrophic usability concern). The principle with the highest usability severity scores was a match between the system and the real world with a score of 1.4. The HCI SMEs also rated the information visualization aspects of the dashboard favorably with 2 usability principles, spatial organization and information coding, scoring 0. Conclusions: Dashboards are a novel method for promoting and tracking facility capacity to manage BEmOC. By including targeted end users and SMEs in the design process, the team was able to tailor the dashboard to meet user needs, fit it into the existing government health systems, and ensure that the dashboard follows design best practices. Collectively, the novel, customized BEmOC dashboard can be used to track and improve facility-level readiness in Amhara, Ethiopia, and similar global BEmOC facilities. ", doi="10.2196/64131", url="https://humanfactors.jmir.org/2025/1/e64131" } @Article{info:doi/10.2196/63482, author="Yew, Qian Sheng and Trivedi, Daksha and Adanan, Hafizah Nurul Iman and Chew, How Boon", title="Facilitators and Barriers to the Implementation of Digital Health Technologies in Hospital Settings in Lower- and Middle-Income Countries Since the Onset of the COVID-19 Pandemic: Scoping Review", journal="J Med Internet Res", year="2025", month="Mar", day="6", volume="27", pages="e63482", keywords="digital health implementation", keywords="facilitators", keywords="barriers", keywords="digital health classification framework", keywords="lower- and middle-income countries", abstract="Background: Although the implementation process of digital health technologies (DHTs) has been extensively documented in high-income countries, the factors that facilitate and prevent their implementation in lower- and middle-income countries (LMICs) may differ for various reasons. Objective: To address this gap in research, this scoping review aims to determine the facilitators and barriers to implementing DHTs in LMIC hospital settings following the onset of the COVID-19 pandemic. Additionally, the review outlined the types of DHTs that have been implemented in LMICs' hospitals during this pandemic and finally developed a classification framework to categorize the landscape of DHTs. Methods: Systematic searches were conducted on PubMed, Scopus, Web of Science, and Google Scholar for studies published from March 2020 to December 2023. We extracted data on authors, publication years, study objectives, study countries, disease conditions, types of DHTs, fields of clinical medicine where the DHTs are applied, study designs, sample sizes, characteristics of the study population, study location, and data collection methods of the included studies. Both quantitative and qualitative data were utilized to conduct a thematic analysis, using a deductive method based on the Practical, Robust Implementation and Sustainability Model (PRISM), to identify facilitators and barriers to DHT implementation. Finally, all accessible DHTs were identified and organized to create a novel classification framework. Results: Twelve studies were included from 292 retrieved articles. Telemedicine (n=5) was the most commonly used DHT in LMICs' hospitals, followed by hospital information systems (n=4), electronic medical records (n=2), and mobile health (n=1). These 4 DHTs, among the other existing DHTs, allowed us to develop a novel classification framework for DHTs. The included studies used qualitative methods (n=4), which included interviews and focus groups, quantitative methods (n=5), or a combination of both (n=2). Among the 64 facilitators of DHT implementation, the availability of continuous on-the-job training (n=3), the ability of DHTs to prevent cross-infection (n=2), and positive previous experiences using DHTs (n=2) were the top 3 reported facilitators. However, of the 44 barriers to DHT implementation, patients with poor digital literacy and skills in DHTs (n=3), inadequate awareness regarding DHTs among health care professionals and stakeholders (n=2), and concerns regarding the accuracy of disease diagnosis and treatment through DHTs (n=2) were commonly reported. Conclusions: In the postpandemic era, telemedicine, along with other DHTs, has seen increased implementation in hospitals within LMICs. All facilitators and barriers can be categorized into 6 themes, namely, (1) Aspects of the Health Care System; (2) Perspectives of Patients; (3) External Environment; (4) Implementation of Sustainable Infrastructure; (5) Characteristics of Health Care Organization; and (6) Characteristics of Patients. ", doi="10.2196/63482", url="https://www.jmir.org/2025/1/e63482", url="http://www.ncbi.nlm.nih.gov/pubmed/40053793" } @Article{info:doi/10.2196/68720, author="Hu, Songbo and Oppong, Abigail and Mogo, Ebele and Collins, Charlotte and Occhini, Giulia and Barford, Anna and Korhonen, Anna", title="Natural Language Processing Technologies for Public Health in Africa: Scoping Review", journal="J Med Internet Res", year="2025", month="Mar", day="5", volume="27", pages="e68720", keywords="public health", keywords="global health", keywords="health promotion", keywords="essential public health functions", keywords="Africa", keywords="natural language processing", keywords="artificial intelligence", keywords="machine learning", keywords="technology", keywords="mobile phone", abstract="Background: Natural language processing (NLP) has the potential to promote public health. However, applying these technologies in African health systems faces challenges, including limited digital and computational resources to support the continent's diverse languages and needs. Objective: This scoping review maps the evidence on NLP technologies for public health in Africa, addressing the following research questions: (1) What public health needs are being addressed by NLP technologies in Africa, and what unmet needs remain? (2) What factors influence the availability of public health NLP technologies across African countries and languages? (3) What stages of deployment have these technologies reached, and to what extent have they been integrated into health systems? (4) What measurable impact has these technologies had on public health outcomes, where such data are available? (5) What recommendations have been proposed to enhance the quality, cost, and accessibility of health-related NLP technologies in Africa? Methods: This scoping review includes academic studies published between January 1, 2013, and October 3, 2024. A systematic search was conducted across databases, including MEDLINE via PubMed, ACL Anthology, Scopus, IEEE Xplore, and ACM Digital Library, supplemented by gray literature searches. Data were extracted and the NLP technology functions were mapped to the World Health Organization's list of essential public health functions and the United Nations' sustainable development goals (SDGs). The extracted data were analyzed to identify trends, gaps, and areas for future research. This scoping review follows the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) reporting guidelines, and its protocol is publicly available. Results: Of 2186 citations screened, 54 studies were included. While existing NLP technologies support a subset of essential public health functions and SDGs, language coverage remains uneven, with limited support for widely spoken African languages, such as Kiswahili, Yoruba, Igbo, and Zulu, and no support for most of Africa's >2000 languages. Most technologies are in prototyping phases, with only one fully deployed chatbot addressing vaccine hesitancy. Evidence of measurable impact is limited, with 15\% (8/54) studies attempting health-related evaluations and 4\% (2/54) demonstrating positive public health outcomes, including improved participants' mood and increased vaccine intentions. Recommendations include expanding language coverage, targeting local health needs, enhancing trust, integrating solutions into health systems, and adopting participatory design approaches. The gray literature reveals industry- and nongovernmental organizations--led projects focused on deployable NLP applications. However, these projects tend to support only a few major languages and specific use cases, indicating a narrower scope than academic research. Conclusions: Despite growth in NLP research for public health, major gaps remain in deployment, linguistic inclusivity, and health outcome evaluation. Future research should prioritize cross-sectoral and needs-based approaches that engage local communities, align with African health systems, and incorporate rigorous evaluations to enhance public health outcomes. International Registered Report Identifier (IRRID): RR2-doi:10.1101/2024.07.02.24309815 ", doi="10.2196/68720", url="https://www.jmir.org/2025/1/e68720", url="http://www.ncbi.nlm.nih.gov/pubmed/40053738" } @Article{info:doi/10.2196/60811, author="Franke, Anna Mara and Neumann, Anne and Nordmann, Kim and Suleymanova, Daniela and Ravololohanitra, Gabrielle Onja and Emmrich, Valentin Julius and Knauss, Samuel", title="Impact of a Mobile Money--Based Conditional Cash Transfer Intervention on Health Care Utilization in Southern Madagascar: Mixed-Methods Study", journal="JMIR Mhealth Uhealth", year="2025", month="Mar", day="3", volume="13", pages="e60811", keywords="cash transfer intervention", keywords="Madagascar", keywords="Sub-Saharan Africa", keywords="health care utilization", keywords="humanitarian assistance", keywords="Africa", keywords="mobile", keywords="mixed methods study", keywords="money", keywords="quantitative", keywords="qualitative", keywords="thematic analysis", keywords="policy", keywords="service", keywords="delivery", keywords="health care system", keywords="cash", keywords="economic", keywords="financial", keywords="payment", keywords="time series", abstract="Background: Mobile money--based cash transfer interventions are becoming increasingly utilized, especially in humanitarian settings. southern Madagascar faced a humanitarian emergency in 2021-2022, when the second wave of the COVID-19 pandemic and a severe famine affected the fragile region simultaneously. Objective: This mixed-methods study aims to analyze the impact and factors influencing the success of a mobile money--based conditional cash transfer intervention for health care utilization at 4 primary and 11 secondary facilities in Madagascar. Methods: We obtained quantitative data from 11 facility registers, detailing patient numbers per month, categorized into maternity care, surgical care, pediatric care, outpatient care, and inpatient care. An interrupted time series analysis, without a control group, was conducted using the end of the intervention in July 2022 as the cut off point. For qualitative data, 64 in-depth interviews were conducted with health care providers, NGO staff, policymakers, beneficiaries, and nonbeneficiaries of the intervention, and was interpreted by 4 independent researchers using reflexive thematic analysis to identify facilitators and barriers to implementation. Results: The interrupted time series analysis showed a significant negative impact on health care utilization, indicating a reduction in health care--seeking behavior after the end of the cash transfer intervention. The effect was stronger in the slope change of patient numbers per month (defined as P<.05), which significantly decreased in 39 of 55 (70\%) models compared to the step change at the end of the intervention, which showed a significant but lower change (P <.05) in 40\% (22/55) of models. The changes were most pronounced in surgical and pediatric care. The key factors that influenced the success of the implementation were grouped across three levels. At the community level, outreach conducted to inform potential beneficiaries about the project by community health workers and using the radio was a decisive factor for success. At participating facilities, high intrinsic staff motivation and strong digital literacy among facility staff positively influenced the intervention. Confusion regarding previous activities by the same implementing NGO and perceptions of unfair bonus payments for health care providers included in the project negatively affected the intervention. Finally, at the NGO-level, the staff present at each facility and the speed and efficiency of administrative processes during the intervention were decisive factors that influenced the intervention. Conclusions: The conditional cash transfer intervention was overarchingly successful in increasing health care utilization in southern Madagascar in a humanitarian setting. However, this success was conditional on key implementation factors at the community, facility, and NGO levels. In the future, similar interventions should proactively consider the key factors identified in this study to optimize the impact. ", doi="10.2196/60811", url="https://mhealth.jmir.org/2025/1/e60811" } @Article{info:doi/10.2196/58841, author="Cyuzuzo, Callixte and Dukuzimana, Josee Marie and Muhire, Clement and Sheldon Ames, Mathew and Ngwakongnwi, Emmanuel", title="Challenges to Rehabilitation Services in Sub-Saharan Africa From a User, Health System, and Service Provider Perspective: Scoping Review", journal="JMIR Hum Factors", year="2025", month="Feb", day="28", volume="12", pages="e58841", keywords="challenges", keywords="users", keywords="health system", keywords="service providers", keywords="Sub-Saharan Africa", keywords="scoping review", keywords="rehabilitation service", abstract="Background: Rehabilitation aims to restore and optimize the functioning of impaired systems for people with disabilities. It is an integral part of universal health coverage, and access to it is a human right. Objective: We aimed to identify the key challenges to rehabilitation services in Sub-Saharan Africa from a user, health system, and service provider perspective. Methods: This scoping review was conducted in accordance with the 5-stage framework proposed by Arksey and O'Malley. A comprehensive electronic search was run to identify published articles on rehabilitation services in Sub-Saharan Africa. Of the 131 articles retrieved, 83 articles were assessed for eligibility and 15 papers that met the inclusion criteria were considered. Results: The results show that people with disabilities in Sub-Saharan Africa face multifactorial challenges to access rehabilitation services. Poor access to rehabilitation services is associated with less attention given to rehabilitation by governments, which leads to less funding, negative cultural and social beliefs, fewer rehabilitation centers, poorly equipped rehabilitation units, failure of health systems, lack of training to rehabilitation practitioners, and logistical and financial constraints. This review also reveals that digital rehabilitation reduces costs and improves access to services in hard-to-reach geographical areas. However, digital rehabilitation faces challenges as well, including connectivity issues, inaccessibility to technology, a lack of technical knowledge, a lack of privacy, and ethical concerns. Conclusions: People with disabilities face multifactorial challenges to access rehabilitation services in Sub-Saharan Africa. It is therefore critical to address these challenges to optimize patients' health outcomes and offer better rehabilitation services. ", doi="10.2196/58841", url="https://humanfactors.jmir.org/2025/1/e58841" } @Article{info:doi/10.2196/58858, author="Muliokela, K. Rosemary and Banda, Kuwani and Hussen, Mohammed Abdulaziz and Malumo, Bvulani Sarai and Kashoka, Andrew and Mwiche, Angel and Chiboma, Innocent and Barreix, Maria and Nyirenda, Muyereka and Sithole, Zvanaka and Ratanaprayul, Natschja and Endehabtu, Fikadie Berhanu and Telake, Abayneh Hanna and Weldeab, Adane and Probert, M. William J. and Tun{\c{c}}alp, ?zge and Maya, Ernest and Woldetsadik, Mulatu and Tilahun, Binyam and Guure, Chris and Senya, Kafui and Say, Lale and Tamrat, Tigest", title="Implementation of WHO SMART Guidelines-Digital Adaptation Kits in Pathfinder Countries in Africa: Processes and Early Lessons Learned", journal="JMIR Med Inform", year="2025", month="Feb", day="7", volume="13", pages="e58858", keywords="guidelines", keywords="reproductive health", keywords="maternal health", keywords="antenatal care", keywords="clinical decision support", keywords="clinical decision support systems", keywords="digital health", keywords="HIV/AIDS", keywords="family planning", keywords="electronic medical records", keywords="electronic health record", keywords="standards", keywords="interoperability", keywords="system uptake", keywords="digital health governance", abstract="Background: The adoption of digital systems requires processes for quality assurance and uptake of standards to achieve universal health coverage. The World Health Organization developed the Digital Adaptation Kits (DAKs) within the SMART (Standards-based, Machine-readable, Adaptive, Requirements-based, and Testable) guidelines framework to support the uptake of standards and recommendations through digital systems. DAKs are a software-neutral mechanism for translating narrative guidelines to support the design of digital systems. However, a systematic process is needed to implement and ensure the impact of DAKs in country contexts. Objective: This paper details the structured process and stepwise approach to customize the DAKs to the national program and digital context in 5 countries in Africa with diverse program guideline uptake and significant digital health investments: Ethiopia, Ghana, Malawi, Zambia, and Zimbabwe. All these countries have existing digital systems, which have the potential to be updated with the DAKs. Methods: A DAK assessment tool was developed and used to assess guideline digitization readiness and opportunities for system uptake in each country. Multistakeholder teams were established to conduct the content review and alignment of the generic DAK to national guidelines and protocols through a series of stakeholder consultations, including stakeholder orientation, content review and alignment, content validation, and software update meetings. Implementation (Results): Country adaptation processes identified requirements for national-level contextualization and highlighted opportunities for refinement of DAKs. Quality assurance of the content during the content review and validation processes ensured alignment with national protocols. Adaptation processes also facilitated the adoption of the DAKs approach into national guidelines and strategic documents for sexual and reproductive health. Conclusions: Country experiences offered early insights into the opportunities and benefits of a structured approach to digitalizing primary health care services. They also highlighted how this process can be continuously refined and sustained to enhance country-level impact. ", doi="10.2196/58858", url="https://medinform.jmir.org/2025/1/e58858" } @Article{info:doi/10.2196/58338, author="Kaushik, Aprajita and Barcellona, Capucine and Mandyam, Kanumoory Nikita and Tan, Ying Si and Tromp, Jasper", title="Challenges and Opportunities for Data Sharing Related to Artificial Intelligence Tools in Health Care in Low- and Middle-Income Countries: Systematic Review and Case Study From Thailand", journal="J Med Internet Res", year="2025", month="Feb", day="4", volume="27", pages="e58338", keywords="artificial intelligence", keywords="data sharing", keywords="health care", keywords="low- and middle-income countries", keywords="AI tools", keywords="systematic review", keywords="case study", keywords="Thailand", keywords="computing machinery", keywords="academic experts", keywords="technology developers", keywords="health care providers", keywords="internet connectivity", keywords="data systems", keywords="low health data literacy", keywords="cybersecurity", keywords="standardized data formats", keywords="AI development", keywords="PRISMA", abstract="Background: Health care systems in low- and middle-income countries (LMICs) can greatly benefit from artificial intelligence (AI) interventions in various use cases such as diagnostics, treatment, and public health monitoring but face significant challenges in sharing data for developing and deploying AI in health care. Objective: This study aimed to identify barriers and enablers to data sharing for AI in health care in LMICs and to test the relevance of these in a local context. Methods: First, we conducted a systematic literature search using PubMed, SCOPUS, Embase, Web of Science, and ACM using controlled vocabulary. Primary research studies, perspectives, policy landscape analyses, and commentaries performed in or involving an LMIC context were included. Studies that lacked a clear connection to health information exchange systems or were not reported in English were excluded from the review. Two reviewers independently screened titles and abstracts of the included articles and critically appraised each study. All identified barriers and enablers were classified according to 7 categories as per the predefined framework---technical, motivational, economic, political, legal and policy, ethical, social, organisational, and managerial. Second, we tested the local relevance of barriers and enablers in Thailand through stakeholder interviews with 15 academic experts, technology developers, regulators, policy makers, and health care providers. The interviewers took notes and analyzed data using framework analysis. Coding procedures were standardized to enhance the reliability of our approach. Coded data were reverified and themes were readjusted where necessary to avoid researcher bias. Results: We identified 22 studies, the majority of which were conducted across Africa (n=12, 55\%) and Asia (n=6, 27\%). The most important data-sharing challenges were unreliable internet connectivity, lack of equipment, poor staff and management motivation, uneven resource distribution, and ethical concerns. Possible solutions included improving IT infrastructure, enhancing funding, introducing user-friendly software, and incentivizing health care organizations and personnel to share data for AI-related tools. In Thailand, inconsistent data systems, limited staff time, low health data literacy, complex and unclear policies, and cybersecurity issues were important data-sharing challenges. Key solutions included building a conducive digital ecosystem---having shared data input platforms for health facilities to ensure data uniformity and to develop easy-to-understand consent forms, having standardized guidelines for data sharing, and having compensation policies for data breach victims. Conclusions: Although AI in LMICs has the potential to overcome health inequalities, these countries face technical, political, legal, policy, and organizational barriers to sharing data, which impede effective AI development and deployment. When tested in a local context, most of these barriers were relevant. Although our findings might not be generalizable to other contexts, this study can be used by LMICs as a framework to identify barriers and strengths within their health care systems and devise localized solutions for enhanced data sharing. Trial Registration: PROSPERO CRD42022360644; https://www.crd.york.ac.uk/prospero/display\_record.php?RecordID=360644 ", doi="10.2196/58338", url="https://www.jmir.org/2025/1/e58338" } @Article{info:doi/10.2196/60843, author="Kizito, Michael and Mugabi, Nabunjo Erina and Ford, Sabrina and Holtz, Bree and Hirko, Kelly", title="Characterizing Telehealth Barriers and Preferences to Promote Acceptable Implementation Strategies in Central Uganda: Multilevel Formative Evaluation", journal="JMIR Form Res", year="2025", month="Jan", day="23", volume="9", pages="e60843", keywords="telehealth", keywords="telemedicine", keywords="health care", keywords="disparities", keywords="technology", keywords="barriers", keywords="resource-limited", keywords="preferences", keywords="Uganda", keywords="Africa", keywords="barrier", keywords="formative evaluation", keywords="health service provider", keywords="primary care", keywords="satisfaction", keywords="Sub-Saharan Africa", keywords="survey", keywords="utility", abstract="Background: Telehealth approaches can address health care access barriers and improve care delivery in resource-limited settings around the globe. Yet, telehealth adoption in Africa has been limited, due in part to an insufficient understanding of effective strategies for implementation. Objective: This study aimed to conduct a multi-level formative evaluation identifying barriers and facilitators for implementing telehealth among health service providers and patients in Central Uganda. Methods: We collected surveys characterizing telehealth perceptions, barriers, and preferences from health care providers and patients seeking primary care in the Central Region of Uganda from January 2022 to July 2022. Survey development was informed by the technology acceptance model and evaluated predictors of technology acceptance (ie, perceived usefulness, ease of use, and attitudes). We used descriptive statistics to characterize telehealth perceptions and examined differences according to provider and patient characteristics using Student t tests. Results: Nearly 79\% (n=48) of 61 providers surveyed had used telehealth, and perceptions were generally favorable. While 93.4\% (n=57) reported that telehealth adds value to clinical practice, less than half (n=30, 49.2\%) felt telehealth was more efficient than in-person visits. Provider-reported barriers to telehealth included technology challenges for the patient (34/132, 26\%), low patient engagement (25/132, 19\%), and lack of implementation support (24/132, 18\%). Telehealth use was lower among the 91 surveyed patients, with only 19.8\% (n=18) having used telehealth. Although 89\% (n=81) of patients reported saving time with telehealth approaches, 33.3\% (n=30) of patients reported that telehealth made them feel uncomfortable, and 43.8\% (n=39) reported concerns about confidentiality. Over 72\% (n=66) of patients who had used telehealth previously reported satisfaction with the telehealth services they received. Several differences in perceptions of telehealth according to patient's self-reported health status were observed. Conclusions: Perceptions of telehealth were generally favorable, although higher among providers than patients. Barriers impeding telehealth use include technology challenges and the lack of infrastructure and implementation support. Findings from this study can inform the implementation of acceptable telehealth approaches to address disparities propagated by health care access barriers in Sub-Saharan Africa. ", doi="10.2196/60843", url="https://formative.jmir.org/2025/1/e60843" } @Article{info:doi/10.2196/65093, author="Virachith, Siriphone and Phakhounthong, Khanxayaphone and Khounvisith, Vilaysone and Mayxay, Mayfong and Kounnavong, Sengchanh and Sayasone, Somphou and H{\"u}bschen, M. Judith and Black, P. Antony", title="Hepatitis B Virus Exposure, Seroprotection Status, and Susceptibility in Health Care Workers From Lao People's Democratic Republic: Cross-Sectional Study", journal="JMIR Public Health Surveill", year="2024", month="Dec", day="17", volume="10", pages="e65093", keywords="hepatitis B", keywords="hepatitis D", keywords="health care workers", keywords="Laos", keywords="prevalence", abstract="Background: Despite the high prevalence of chronic hepatitis B virus (HBV) infection in adults in Lao People's Democratic Republic (Lao PDR), Lao health care workers (HCWs) have previously been shown to have low levels of protection against infection. Furthermore, the prevalence of hepatitis D virus (HDV), which increases disease severity in individuals infected with HBV, is not known in Lao PDR. Objective: This study aimed to estimate the exposure and seroprotection against HBV, as well as exposure to HDV, in Lao HCWs from 5 provinces. Methods: In 2020, a total of 666 HCWs aged 20 to 65 years from 5 provinces of Lao PDR were recruited, and their sera were tested by enzyme-linked immunosorbent assay to determine their HBV and HDV coinfection status. Results: HBV exposure, as indicated by the presence of anti--hepatitis B core antibodies, was 40.1\% (267/666) overall and significantly higher for HCWs from Oudomxay province (21/31, 67.7\%; adjusted odds ratio 3.69, 95\% CI 1.68?8.12; P=.001). The prevalence of hepatitis B surface antigen was 5.4\% (36/666) overall and increased with age, from 3.6\% (9/248) in those aged ?30 years to 6.8\% (8/118) in those aged ?50 years. Only 28.7\% (191/666) of participants had serological indication of immunization. We could find no evidence for HDV exposure in this study. Conclusions: The study found intermediate hepatitis B surface antigen prevalence among HCWs in Lao PDR, with no evidence of HDV coinfection. Notably, a significant proportion of HCWs remains susceptible to HBV, indicating a substantial gap in seroprotection against the disease. ", doi="10.2196/65093", url="https://publichealth.jmir.org/2024/1/e65093" } @Article{info:doi/10.2196/57799, author="Yang, Danyu and Ma, Ling and Cheng, Yin and Shi, Hongjuan and Liu, Yining and Shi, Chao", title="Utility of Anthropometric Indexes for Detecting Metabolic Syndrome in Resource-Limited Regions of Northwestern China: Cross-Sectional Study", journal="JMIR Public Health Surveill", year="2024", month="Nov", day="29", volume="10", pages="e57799", keywords="metabolic syndrome", keywords="MetS", keywords="anthropometric indexes", keywords="lipid accumulation product", keywords="LAP", keywords="waist-to-height ratio", keywords="WHtR", keywords="anthropometric", keywords="adult", keywords="aging", keywords="NingXia", keywords="China", keywords="cross-sectional study", keywords="population-based survey", keywords="logistic regression", keywords="waist-to-height", keywords="threshold", keywords="diagnosis", keywords="public health", abstract="Background: Anthropometric indexes offer a practical approach to identifying metabolic syndrome (MetS) and its components. However, there is a scarcity of research on anthropometric indexes tailored to predict MetS in populations from resource-limited regions. Objective: This study aimed to examine the association between 8 easy-to-collect anthropometric indexes and MetS, and determine the most appropriate indexes to identify the presence of MetS for adults in resource-limited areas. Methods: A total of 10,520 participants aged 18?85 years from Ningxia Hui Autonomous Region, China, were included in this cross-sectional study. Participants were recruited through a stratified sampling approach from January 1, 2020, to December 31, 2021. MetS was defined using the International Diabetes Federation (IDF) criteria. Eight anthropometric indexes were examined, including BMI, waist-to-height ratio (WHtR), weight-adjusted waist index (WWI), conicity index, a body shape index (ABSI), lipid accumulation products (LAP), visceral obesity index (VAI), and the triglyceride-glucose (TyG) index. Logistic regression analysis and restricted cubic splines (RCSs) were applied to identify the association between the anthropometric indexes. The receiver operating characteristic curve and the area under the curve (AUC) were analyzed to identify and compare the discriminative power of anthropometric indexes in identifying MetS. The Youden index was used to determine a range of optimal diagnostic thresholds. Logistic regression analysis was applied to identify the association between the anthropometric indexes. Results: A total of 3324 (31.60\%) participants were diagnosed with MetS. After adjusting for age, ethnicity, current residence, education level, habitual alcohol consumption, and tobacco use, all the 8 indexes were positively correlated with the risks of MetS (P<.05). LAP presented the highest adjusted odds ratios (adjOR 35.69, 95\% CI 34.59?36.80), followed by WHtR (adjOR 29.27, 95\% CI 28.00?30.55), conicity index (adjOR 11.58, 95\% CI 10.95?12.22), TyG index (adjOR 5.53, 95\% CI 5.07?6.04), BMI (adjOR 3.88, 95\% CI 3.71?4.05), WWI (adjOR 3.23, 95\% CI 3.02?3.46), VAI (adjOR 2.11, 95\% CI 2.02?2.20), and ABSI (adjOR 1.71, 95\% CI 1.62?1.80). Significantly nonlinear associations between the 8 indexes and the risk of MetS (all Pnonlinear<.001) were observed in the RCSs. WHtR was the strongest predictor of MetS for males (AUC 0.91, 95\% CI 0.90-0.92; optimal cutoff 0.53). LAP were the strongest predictor of MetS for females (AUC 0.89, 95\% CI 0.89-0.90; optimal cutoff 28.67). Statistical differences were present between WHtR and all other 7 anthropometric indexes among males and overall (all P<.05). In females, the AUC values between LAP and BMI, WWI, ABSI, conicity index, VAI, and TyG index were significantly different (P<.001). No statistical difference was observed between LAP and WHtR among females. Conclusions: According to 8 anthropometric and lipid-related indices, it is suggested that WHtR and LAP are the most appropriate indexes for identifying the presence of MetS in resource-limited areas. ", doi="10.2196/57799", url="https://publichealth.jmir.org/2024/1/e57799" } @Article{info:doi/10.2196/59545, author="Wallenborn, T. Jordyn and Sinantha-Hu, Miley and Ouipoulikoune, Vattahanaphone and Kounnavong, Sengchanh and Siengsounthone, Latsamy and Probst-Hensch, Nicole and Odermatt, Peter and Sayasone, Somphou and Fink, G{\"u}nther", title="Vientiane Multigenerational Birth Cohort Project in Lao People's Democratic Republic: Protocol for Establishing a Longitudinal Multigenerational Birth Cohort to Promote Population Health", journal="JMIR Res Protoc", year="2024", month="Nov", day="27", volume="13", pages="e59545", keywords="Lao PDR", keywords="birth cohort", keywords="growth and development", keywords="mental health", keywords="dementia", keywords="exercise", keywords="behavior", keywords="aging", keywords="intergenerational", keywords="noncommunicable disease", keywords="hypertension", keywords="longitudinal cohort", keywords="low- and middle-income countries", keywords="maternal health", keywords="pregnancy", keywords="antenatal care", keywords="peripartum", keywords="postpartum", keywords="child health", keywords="infant health", abstract="Background: Rapid global population growth and urbanization have led to an increase in urban populations in low- and middle-income countries. Although these urban areas have generally better health outcomes than lower-income rural areas, many environmental, social, and health challenges remain. Vientiane, the capital of Lao People's Democratic Republic (Lao PDR), has approximately 1.5 of the 7.5 million Laotian population (2022) and provides a unique opportunity to examine health outcomes among socioeconomically diverse populations in the rapidly urbanizing context of the country. Objective: The aim of the Vientiane multigenerational birth cohort (VITERBI) project is to (1) establish a multigenerational birth cohort in Vientiane capital, Lao PDR, which is representative of the local population, (2) serve as the basis for additional observational (ie, cross-sectional) and intervention studies that promote population health in Vientiane province, and (3) investigate the social, epidemiological, and medical problems of public health importance to Lao PDR. Methods: VITERBI is a prospective multigenerational birth cohort. The study population is structured around children born between July 1, 2022, and June 30, 2023, who reside in Chanthabuly, Sikhottabong, Sangthong, or Mayparkngum districts of Vientiane. Whenever possible, children and their mothers are enrolled during pregnancy; nonreported pregnancies are enrolled after birth. The cohort plans to enroll 3000 pregnant women and their children and the infants' fathers, grandparents, and great-grandparents for a total study population of approximately 13,000 individuals. Participants will be followed throughout the life course with a range of data collected, including demographics, behavior, diet, physical activity, physiology, neurodevelopment, health history, quality of life, environmental exposures, depression, anxiety, stress, resilience, household characteristics, obstetric history, birth outcomes, and various living and dementia scales for older adults. Biomarkers collected include height, weight, blood pressure, and hemoglobin levels. Currently, no statistical analyses are planned. Results: As of April 2024, this study has enrolled 3500 pregnant women and 4579 family members. Study participation is ongoing until May 2025 at minimum, with the goal to extend follow-up until 2050. Conclusions: The study cohort will be used as a basis for further observational (cross-sectional, longitudinal) and intervention studies. It also serves as a tool to investigate social, epidemiological, and medical problems of public health importance to Lao PDR, which will contribute to broader understanding of regional and international contexts. International Registered Report Identifier (IRRID): DERR1-10.2196/59545 ", doi="10.2196/59545", url="https://www.researchprotocols.org/2024/1/e59545" } @Article{info:doi/10.2196/47311, author="Hasegawa, Kaede and O'Brien, Niki and Prendergast, Mabel and Ajah, Agape Chris and Neves, Luisa Ana and Ghafur, Saira", title="Cybersecurity Interventions in Health Care Organizations in Low- and Middle-Income Countries: Scoping Review", journal="J Med Internet Res", year="2024", month="Nov", day="20", volume="26", pages="e47311", keywords="computer security", keywords="internet security", keywords="network security", keywords="digital health", keywords="digital health technology", keywords="cybersecurity", keywords="health data", keywords="global health", keywords="security", keywords="data science", keywords="LMIC", keywords="low income", keywords="low resource", keywords="scoping review", keywords="review methodology", keywords="implementation", keywords="barrier", keywords="facilitator", abstract="Background: Health care organizations globally have seen a significant increase in the frequency of cyberattacks in recent years. Cyberattacks cause massive disruptions to health service delivery and directly impact patient safety through disruption and treatment delays. Given the increasing number of cyberattacks in low- and middle-income countries (LMICs), there is a need to explore the interventions put in place to plan for cyberattacks and develop cyber resilience. Objective: This study aimed to describe cybersecurity interventions, defined as any intervention to improve cybersecurity in a health care organization, including but not limited to organizational strategy(ies); policy(ies); protocol(s), incident plan(s), or assessment process(es); framework(s) or guidelines; and emergency planning, implemented in LMICs to date and to evaluate their impact on the likelihood and impact of attacks. The secondary objective was to describe the main barriers and facilitators for the implementation of such interventions, where reported. Methods: A systematic search of the literature published between January 2017 and July 2024 was performed on Ovid Medline, Embase, Global Health, and Scopus using a combination of controlled terms and free text. A search of the gray literature within the same time parameters was undertaken on the websites of relevant stakeholder organizations to identify possible additional studies that met the inclusion criteria. Findings from included papers were mapped against the dimensions of the Essentials of Cybersecurity in Health Care Organizations (ECHO) framework and presented as a narrative synthesis. Results: We included 20 studies in this review. The sample size of the majority of studies (13/20, 65\%) was 1 facility to 5 facilities, and the studies were conducted in 14 countries. Studies were categorized into the thematic dimensions of the ECHO framework, including context; governance; organizational strategy; risk management; awareness, education, and training; and technical capabilities. Few studies (6/20, 30\%) discussed cybersecurity intervention(s) as the primary focus of the paper; therefore, information on intervention(s) implemented had to be deduced. There was no attempt to report on the impact and outcomes in all papers except one. Facilitators and barriers identified were grouped and presented across national or regional, organizational, and individual staff levels. Conclusions: This scoping review's findings highlight the limited body of research published on cybersecurity interventions implemented in health care organizations in LMICs and large heterogeneity across existing studies in interventions, research objectives, methods, and outcome measures used. Although complex and challenging, future research should specifically focus on the evaluation of cybersecurity interventions and their impact in order to build a robust evidence base to inform evidence-based policy and practice. ", doi="10.2196/47311", url="https://www.jmir.org/2024/1/e47311" } @Article{info:doi/10.2196/56636, author="Duan, Sainan and Chen, Dongxu and Wang, Jinping and Paramboor, Sharooq Mohammed and Xia, Zhen and Xu, Wanting and Han, Kun and Zhu, Tao and Jiang, Xiaoqin", title="Digital Exclusion and Cognitive Function in Elderly Populations in Developing Countries: Insights Derived From 2 Longitudinal Cohort Studies", journal="J Med Internet Res", year="2024", month="Nov", day="15", volume="26", pages="e56636", keywords="digital exclusion", keywords="cognition", keywords="cohort study", keywords="developing country", keywords="China Health and Retirement Longitudinal Study", keywords="CHARLS", keywords="", keywords="MHAS", keywords="cognitive decline", abstract="Background: Cognition disorders not only lead to adverse health consequences but also contribute to a range of socioeconomic challenges and diminished capacity for performing routine daily activities. In the digital era, understanding the impact of digital exclusion on cognitive function is crucial, especially in developing countries. Objective: This study aimed to evaluate the association between digital exclusion and cognitive function among elderly populations in developing countries. Methods: Using data from CHARLS (China Health and Retirement Longitudinal Study) from 2011 to 2020 and MHAS (Mexican Health \& Aging Study) from 2012 to 2021, we defined digital exclusion as self-reported absence from the internet. Cognitive function was assessed through 5 tests: orientation, immediate verbal recall, delayed verbal recall, serial 7s, and figure recall. Cognitive function was assessed in 2 categories: worse cognition (a categorical variable that classifies cognition as either better or worse compared to the entire cohort population) and cognitive scores (a continuous variable representing raw cognitive scores across multiple follow-up waves). Logistic regression analyses and generalized estimating equation (GEE) analyses were used to examine the relationship between cognitive function and digital exclusion, adjusting for potential confounders, including demographics, lifestyle factors, history of chronic diseases, basic activities of daily living (BADL) disability, instrumental activities of daily living (IADL) disability, and basic cognitive abilities. Results: After excluding participants with probable cognitive impairment at baseline and those who did not have a complete cognitive assessment in any given year (ie, all tests in the cognitive assessment must be completed in any follow-up wave), a total of 24,065 participants in CHARLS (n=11,505, 47.81\%) and MHAS (n=12,560, 52.19\%) were included. Of these, 96.78\% (n=11,135) participants in CHARLS and 70.02\% (n=8795) in MHAS experienced digital exclusion. Adjusted logistic regression analyses revealed that individuals with digital exclusion were more likely to exhibit worse cognitive performance in both CHARLS (odds ratio [OR] 2.04, 95\% CI 1.42-2.99; P<.001) and MHAS (OR 1.40, 95\% CI 1.26-1.55; P<.001). Gender and age did not significantly modify the relationship between digital exclusion and worse cognition (intervention P>.05). The fully adjusted mean differences in global cognitive scores between the 2 groups were 0.98 (95\% CI 0.70-1.28; P<.001) in CHARLS and 0.50 (95\% CI 0.40-0.59; P<.001) in MHAS. Conclusions: A substantial proportion of older adults, particularly in China, remain excluded from internet access. Our study examined longitudinal changes in cognitive scores and performed cross-sectional comparisons using Z-score standardization. The findings suggest that digital exclusion is linked to an increased risk of cognitive decline among older adults in developing countries. Promoting internet access may help mitigate this risk and support better cognitive health in these populations. ", doi="10.2196/56636", url="https://www.jmir.org/2024/1/e56636" } @Article{info:doi/10.2196/58140, author="Hope, Mackline and Kiggundu, Reuben and Byonanebye, M. Dathan and Mayito, Jonathan and Tabajjwa, Dickson and Lwigale, Fahad and Tumwine, Conrad and Mwanja, Herman and Kambugu, Andrew and Kakooza, Francis", title="Progress of Implementation of World Health Organization Global Antimicrobial Resistance Surveillance System Recommendations on Priority Pathogen-Antibiotic Sensitivity Testing in Africa: Protocol for a Scoping Review", journal="JMIR Res Protoc", year="2024", month="Nov", day="15", volume="13", pages="e58140", keywords="antimicrobial resistance", keywords="antibiotic sensitivity testing", keywords="global antimicrobial resistance surveillance system", keywords="GLASS implementation", keywords="AMR Surveillance", keywords="Africa", abstract="Background: Antimicrobial resistance (AMR) is a major global public health concern, particularly in low- and middle-income countries where resources and infrastructure for an adequate response are limited. The World Health Organization (WHO) Global Antimicrobial Resistance Surveillance System (GLASS) was introduced in 2016 to address these challenges, outlining recommendations for priority pathogen-antibiotic combinations. Despite this initiative, implementation in Africa remains understudied. This scoping review aims to assess the current state of implementing WHO GLASS recommendations on antimicrobial sensitivity testing (AST) in Africa. Objective: The primary objective of this study is to determine the current state of implementing the WHO GLASS recommendations on AST for priority pathogen-antimicrobial combinations. The review will further document if the reporting of AST results is according to ``susceptible,'' ``intermediate,'' and ``resistant'' recommendations according to GLASS. Methods: Following the methodological framework by Arksey and O'Malley, studies published between January 2016 and November 2023 will be included. Search strategies will target electronic databases, including MEDLINE, Scopus, CINAHL, and Embase. Eligible studies will document isolates tested for antimicrobial sensitivity, focusing on WHO-priority specimens and pathogens. Data extraction will focus on key study characteristics, study context, population, and adherence to WHO GLASS recommendations on AST. Descriptive statistics involving summarizing the quantitative data extracted through measures of central tendency and variation will be used. Covidence and Microsoft Excel software will be used. This study will systematically identify, collate, and analyze relevant studies and data sources based on clear inclusion criteria to provide a clear picture of the progress achieved in the implementation of the WHO GLASS recommendations. Areas for further improvement will be documented to inform future efforts to strengthen GLASS implementation for enhanced AMR surveillance in Africa. Results: The study results are expected in August 2024. Conclusions: To our knowledge, this scoping review will be the first to comprehensively examine the implementation of WHO GLASS recommendations in Africa, shedding light on the challenges and successes of AMR surveillance in the region. Addressing these issues aims to contribute to global efforts to combat AMR. International Registered Report Identifier (IRRID): PRR1-10.2196/58140 ", doi="10.2196/58140", url="https://www.researchprotocols.org/2024/1/e58140" } @Article{info:doi/10.2196/58624, author="Reynolds, W. Christopher and Lee, HaEun and Sieka, Joseph and Perosky, Joseph and Lori, R. Jody", title="Implementation of a Technology-Based Mobile Obstetric Referral Emergency System (MORES): Qualitative Assessment of Health Workers in Rural Liberia", journal="JMIR Mhealth Uhealth", year="2024", month="Nov", day="13", volume="12", pages="e58624", keywords="mHealth", keywords="mobile triage", keywords="referral pathways", keywords="Liberia", keywords="LMIC", keywords="low- income country", keywords="obstetric triage", keywords="third delay", keywords="mobile health", keywords="mobile application", keywords="digital health", keywords="digital intervention", keywords="smartphone", keywords="middle-income country", abstract="Background: Maternal mortality remains a persistent challenge in low- and middle-income countries, where evidence-based interventions of obstetric triage and prehospital communication remain sparse. There is limited implementation evidence for technology-based approaches to improve obstetric care in such contexts. Liberia struggles with maternal mortality, particularly in rural areas where deaths are attributable to delays from absent triage and interfacility communication. We implemented a Mobile Obstetric Referral Emergency System (MORES) in rural Bong County to improve prehospital transfer, health worker attentiveness, and patient care for critical obstetric patients. MORES consisted of triage training and a 2-way, templated WhatsApp communication system to reduce delays among patients transferred from rural health facilities (RHF) to hospitals. Objective: This study aimed to examine MORES implementation outcomes of usability, fidelity, effectiveness, sustainability, and scalability, as well as additional impacts on the wider health system. Methods: A structured case study design interview was developed by Liberian and US experts in obstetric triage. Participants included 62 frontline obstetric health providers including midwives (38/62, 61\%), nurses (20/62, 32\%), physicians assistants (3/62, 5\%), and physicians (1/62, 2\%) from 19 RHFs and 2 district hospitals who had used MORES for 1 year. Individual interviews were conducted on MORES implementation outcomes, transcribed, and analyzed in NVivo (version 12; Lumivero) with a team-based coding methodology. Content analysis with a deductive approach examined implementation outcomes of usability, fidelity, effectiveness, sustainability, and scalability, while an inductive approach categorized the unanticipated impacts of MORES on the wider health system. Results: Four domains were identified regarding MORES implementation: Usability and Fidelity, Effectiveness, Sustainability and Scalability, and Health System Impact. All participants perceived MORES to have high usability and fidelity, as the triage and messaging system was implemented as intended for critical obstetric patients (62/62, 100\%). For effectiveness, MORES accomplished its intended aims by improving prehospital transfer (57/62, 92\%), increasing health worker attentiveness (39/62, 63\%), and contributing to improved patient care (34/62, 55\%). MORES was perceived as sustainable and scalable (62/62, 100\%), particularly if technological barriers (21/62, 34\%) and staff training (19/62, 31\%) were addressed. MORES impacted the wider health system in unanticipated ways including improved coordination and accountability (55/62, 89\%), feedback mechanisms for hospitals and RHFs (48/62, 77\%), interprofessional teamwork (21/62, 34\%), longitudinal follow-up care (20/62, 32\%), creating a record of care delays (17/62, 27\%), and electronic health record infrastructure (13/62, 21\%). Conclusions: MORES was perceived to have high usability, fidelity, effectiveness, sustainability, and scalability by frontline obstetric providers in rural Liberia. MORES accomplished the intended aims of improving prehospital transfer, increasing health worker attentiveness, and contributing to improved patient care. Additionally, MORES strengthened the health system through 6 domains which impacted individual and system levels. Future studies should quantitatively evaluate delay and morbidity reductions and strategies for scaling MORES. ", doi="10.2196/58624", url="https://mhealth.jmir.org/2024/1/e58624" } @Article{info:doi/10.2196/57764, author="Gebeyew, Sisay Ayenew and Wordofa, Regasa Zegeye and Muluneh, Alebachew Ayana and Shibabaw, Ambachew Adamu and Walle, Damtew Agmasie and Tizie, Birhanu Sefefe and Mengistie, Belachew Muluken and Takillo, Kassaw Mitiku and Assaye, Tilahun Bayou and Senishaw, Fentahun Adualem and Hailye, Gizaw and Shimie, Worku Aynadis and Butta, Wake Fikadu", title="Attitudes of Health Professionals Toward Digital Health Data Security in Northwest Ethiopia: Cross-Sectional Study", journal="Online J Public Health Inform", year="2024", month="Nov", day="6", volume="16", pages="e57764", keywords="health", keywords="profession", keywords="digital", keywords="attitude", keywords="security", keywords="data", abstract="Background: Digital health is a new health field initiative. Health professionals require security in digital places because cybercriminals target health care professionals. Therefore, millions of medical records have been breached for money. Regarding digital security, there is a gap in studies in limited-resource countries. Therefore, surveying health professionals' attitudes toward digital health data security has a significant purpose for interventions. Objective: This study aimed to assess the attitudes of health professionals toward digital health data security and their associated factors in a resource-limited country. Methods: A cross-sectional study was conducted to measure health professionals' attitudes toward digital health data security. The sample size was calculated using a single population. A pretest was conducted to measure consistency. Binary logistic regression was used to identify associated factors. For multivariable logistic analysis, a P value ?.20 was selected using Stata software (version 16; StataCorp LP). Results: Of the total sample, 95\% (402/423) of health professionals participated in the study. Of all participants, 63.2\% (254/402) were male, and the mean age of the respondents was 34.5 (SD 5.87) years. The proportion of health professionals who had a favorable attitude toward digital health data security at specialized teaching hospitals was 60.9\% (95\% CI 56.0\%?65.6\%). Educational status (adjusted odds ratio [AOR] 3.292, 95\% CI 1.16?9.34), basic computer skills (AOR 1.807, 95\% CI 1.11?2.938), knowledge (AOR 3.238, 95\% CI 2.0?5.218), and perceived usefulness (AOR 1.965, 95\% CI 1.063?3.632) were factors associated with attitudes toward digital health data security. Conclusions: This study aimed to assess health professionals' attitudes toward digital health data security. Interventions on educational status, basic computer skills, knowledge, and perceived usefulness are important for improving health professionals' attitudes. Improving the attitudes of health professionals related to digital data security is necessary for digitalization in the health care arena. ", doi="10.2196/57764", url="https://ojphi.jmir.org/2024/1/e57764" } @Article{info:doi/10.2196/59873, author="Chaudary, Jatin and Rawat, Shruta and Dange, Alpana and Golub, A. Sarit and Kim, S. Ryung and Chakrapani, Venkatesan and Mayer, H. Kenneth and Arnsten, Julia and Patel, V. Viraj", title="The CHALO! 2.0 mHealth-Based Multilevel Intervention to Promote HIV Testing and Linkage-to-Care Among Men Who Have Sex with Men in Mumbai, India: Protocol for a Randomized Controlled Trial", journal="JMIR Res Protoc", year="2024", month="Nov", day="5", volume="13", pages="e59873", keywords="Keywords: digital health", keywords="HIV prevention", keywords="social media", keywords="stigma", keywords="gay", keywords="men who have sex with men", keywords="MSM", abstract="Background: Current programs to engage marginalized populations such as gay and bisexual individuals and other men who have sex with men (MSM) in HIV prevention interventions do not often reach all MSM who may benefit from them. To reduce the global burden of HIV, far-reaching strategies are needed to engage MSM in HIV prevention and treatment. Globally, including low- and middle-income countries, MSM are now widely using internet-based social and mobile technologies (SMTs; eg, dating apps, social media, and WhatsApp [Meta]), which provides an unprecedented opportunity to engage unreached and underserved groups, such as MSM for HIV prevention and care. Objective: This study aimed to assess the effectiveness of a multilevel mobile health (mHealth)--based intervention to improve HIV testing uptake and status neutral linkage-to-care among sexually active MSM reached through internet-based platforms in Mumbai, India. Methods: In this randomized controlled trial, we will determine whether CHALO! 2.0 (a theory-based multilevel intervention delivered in part through WhatsApp) results in increased HIV testing and linkage-to-care (prevention or treatment). This study is being conducted among 1000 sexually active MSM who are unaware of their HIV status (never tested or tested >6 months ago) and are recruited through SMTs in Mumbai, India. We will conduct a 12-week, 3-arm randomized trial comparing CHALO! 2.0 to 2 control conditions---an attention-matched SMT-based control (also including a digital coupon for free HIV testing) and a digital coupon--only control. The primary outcomes will be HIV testing and status neutral linkage-to-care by 6 months post enrollment. Participants will be followed up for a total of 18 months to evaluate the long-term impact. Results: The study was funded in 2020, with recruitment having started in April 2022 due to delays from the COVID-19 pandemic. Baseline survey data collection began in April 2022, with follow-up surveys starting in July 2022. As of April 2022, we enrolled 1004 participants in the study. The completion of follow-up data collection is expected in January 2025, with results to be published thereafter. Conclusions: While global health agencies have called for internet-based interventions to engage populations vulnerable to HIV who are not being reached, few proven effective and scalable models exist and none is in India, which has one of the world's largest HIV epidemics. This study will address this gap by testing a multicomponent mHealth intervention to reach and engage MSM at high priority for HIV interventions and link them to HIV testing and prevention or treatment. Trial Registration: ClinicalTrials.gov NCT04814654; https://clinicaltrials.gov/study/NCT04814654. Clinical Trial Registry of India CTRI/2021/03/032280 International Registered Report Identifier (IRRID): DERR1-10.2196/59873 ", doi="10.2196/59873", url="https://www.researchprotocols.org/2024/1/e59873" } @Article{info:doi/10.2196/52557, author="Reynaud, Danielle and Bouscaren, Nicolas and Cartron, Emmanuelle and Marimoutou, Catherine", title="Feasibility of Sexual Health and Contraceptive Web Services for Adolescents and Young Adults: Retrospective Study of a Pilot Program on Reunion Island", journal="JMIR Pediatr Parent", year="2024", month="Nov", day="1", volume="7", pages="e52557", keywords="sexual health", keywords="adolescent", keywords="young adults", keywords="web application", keywords="contraception prescription", keywords="contraception", keywords="teleconsultation", keywords="telemedicine", keywords="youth", keywords="usage", keywords="e-consultation", keywords="web based", abstract="Background: Sexual health indicators for adolescents and young adults (AYAs) aged between 13 and 25 years are particularly poor on Reunion Island. Access to accurate information as well as sexual health and contraceptive services are vital to maintaining sexual well-being. Teleconsultations offer a promising approach to addressing the sexual health and contraceptive needs of AYAs who are more susceptible to engaging in unprotected sexual intercourse. However, the literature on digital sexual health services for this demographic group is limited. Objective: This study aims to describe the feasibility of a pilot sexual health and contraceptive teleconsultation web service used by AYAs on Reunion Island. Methods: A descriptive, retrospective study was conducted at the Reunion Island University Hospital Center using a convenient sample. Eligible participants were informed about the program through various communication channels, including seminars for health care professionals, radio broadcasts, posters, flyers, press articles, videos, and social media posts. AYAs accessed a web-based platform named SEXTUOZE from December 15, 2021, to September 30, 2022, that offered sexual health information and teleconsultations. Data collected included participant and teleconsultation characteristics, patient satisfaction, and the quality of completeness of medical records. Results: A total of 22 teleconsultations were scheduled and 7 were completed, all via synchronous video communication (duration: median 35 min). Overall, 4731 sessions were generated on the SEXTUOZE website. Reasons cited for accessing the web services were to seek sexual health advice (8/22, 36\%), receive an initial birth control prescription (12/22, 55\%), and inquire about condom prescriptions (2/22, 9\%). Conclusions: While teleconsultation use for sexual health was initially low, it rose toward the end of the study period. Considering all elements of the implementation theory, future research should design interventions that not only are more operative and tailored but also ensure their adoption and sustainability in various health contexts. ", doi="10.2196/52557", url="https://pediatrics.jmir.org/2024/1/e52557" } @Article{info:doi/10.2196/57703, author="Musheghyan, Lusine and Harutyunyan, M. Nika and Sikder, Abu and Reid, W. Mark and Zhao, Daniel and Lulejian, Armine and Dickhoner, W. James and Andonian, T. Nicole and Aslanyan, Lusine and Petrosyan, Varduhi and Sargsyan, Zhanna and Shekherdimian, Shant and Dorian, Alina and Espinoza, C. Juan", title="Managing Patients With COVID-19 in Armenia Using a Remote Monitoring System: Descriptive Study", journal="JMIR Public Health Surveill", year="2024", month="Sep", day="30", volume="10", pages="e57703", keywords="COVID-19", keywords="remote patient monitoring", keywords="Armenia", keywords="web platform", keywords="home oxygen therapy", keywords="pandemic", keywords="global health care", keywords="low and middle-income countries", keywords="health care infrastructure", keywords="Yerevan", keywords="home monitoring", keywords="resource-constrained", abstract="Background: The COVID-19 pandemic has imposed immense stress on global health care systems, especially in low- and middle-income countries (LMICs). Armenia, a middle-income country in the Caucasus region, contended with the pandemic and a concurrent war, resulting in significant demand on its already strained health care infrastructure. The COVID@home program was a multi-institution, international collaboration to address critical hospital bed shortages by implementing a home-based oxygen therapy and remote monitoring program. Objective: The objective of this study was to describe the program protocol and clinical outcomes of implementing an early discharge program in Armenia through a collaboration of partner institutions, which can inform the future implementation of COVID-19 remote home monitoring programs, particularly in LMICs or low-resource settings. Methods: Seven hospitals in Yerevan participated in the COVID@home program. A web app based on OpenMRS was developed to facilitate data capture and care coordination. Patients meeting eligibility criteria were enrolled during hospitalization and monitored daily while on oxygen at home. Program evaluation relied on data extraction from (1) eligibility and enrollment forms, (2) daily monitoring forms, and (3) discharge forms. Results: Over 11 months, 439 patients were screened, and 221 patients were managed and discharged. Around 94\% (n=208) of participants safely discontinued oxygen therapy at home, with a median home monitoring duration of 26 (IQR 15-45 days; mean 32.33, SD 25.29) days. Women (median 28.5, mean 35.25 days) had similar length of stay to men (median 26, mean 32.21 days; P=.75). Despite challenges in data collection and entry, the program demonstrated feasibility and safety, with a mortality rate below 1\% and low re-admission rate. Opportunities for operational and data quality improvements were identified. Conclusions: This study contributes practical evidence on the implementation and outcomes of a remote monitoring program in Armenia, offering insights into managing patients with COVID-19 in resource-constrained settings. The COVID@home program's success provides a model for remote patient care, potentially alleviating strain on health care resources in LMICs. Policymakers can draw from these findings to inform the development of adaptable health care solutions during public health crises, emphasizing the need for innovative approaches in resource-limited environments. ", doi="10.2196/57703", url="https://publichealth.jmir.org/2024/1/e57703", url="http://www.ncbi.nlm.nih.gov/pubmed/39348686" } @Article{info:doi/10.2196/48294, author="Fesshaye, Berhaun and Pandya, Shivani and Kan, Lena and Kalbarczyk, Anna and Alland, Kelsey and Rahman, Mustafizur S. M. and Bulbul, Islam Md Mofijul and Mustaphi, Piyali and Siddique, Bakr Muhammad Abu and Tanim, Alam Md Imtiaz and Chowdhury, Mridul and Rumman, Tajkia and Labrique, B. Alain", title="Quality, Usability, and Trust Challenges to Effective Data Use in the Deployment and Use of the Bangladesh Nutrition Information System Dashboard: Qualitative Study", journal="J Med Internet Res", year="2024", month="Sep", day="30", volume="26", pages="e48294", keywords="digital health", keywords="nutrition", keywords="data for decision-making", keywords="health information systems", keywords="information system", keywords="information systems", keywords="LMIC", keywords="low- and middle-income countries", keywords="nutritional", keywords="dashboard", keywords="experience", keywords="experiences", keywords="interview", keywords="interviews", keywords="service", keywords="services", keywords="delivery", keywords="health care management", abstract="Background: Evidence-based decision-making is essential to improve public health benefits and resources, especially in low- and middle-income countries (LMICs), but the mechanisms of its implementation remain less straightforward. The availability of high-quality, reliable, and sufficient data in LMICs can be challenging due to issues such as a lack of human resource capacity and weak digital infrastructure, among others. Health information systems (HISs) have been critical for aggregating and integrating health-related data from different sources to support evidence-based decision-making. Nutrition information systems (NISs), which are nutrition-focused HISs, collect and report on nutrition-related indicators to improve issues related to malnutrition and food security---and can assist in improving populations' nutritional statuses and the integration of nutrition programming into routine health services. Data visualization tools (DVTs) such as dashboards have been recommended to support evidence-based decision-making, leveraging data from HISs or NISs. The use of such DVTs to support decision-making has largely been unexplored within LMIC contexts. In Bangladesh, the Mukto dashboard was developed to display and visualize nutrition-related performance indicators at the national and subnational levels. However, despite this effort, the current use of nutrition data to guide priorities and decisions remains relatively nascent and underused. Objective: The goal of this study is to better understand how Bangladesh's NIS, including the Mukto dashboard, has been used and areas for improvement to facilitate its use for evidence-based decision-making toward ameliorating nutrition-related service delivery and the health status of communities in Bangladesh. Methods: Primary data collection was conducted through qualitative semistructured interviews with key policy-level stakeholders (n=24). Key informants were identified through purposive sampling and were asked questions about the experiences and challenges with the NIS and related nutrition dashboards. Results: Main themes such as trust, data usability, personal power, and data use for decision-making emerged from the data. Trust in both data collection and quality was lacking among many stakeholders. Poor data usability stemmed from unstandardized indicators, irregular data collection, and differences between rural and urban data. Insufficient personal power and staff training coupled with infrastructural challenges can negatively affect data at the input stage. While stakeholders understood and expressed the importance of evidence-based decision-making, ultimately, they noted that the data were not being used to their maximum potential. Conclusions: Leveraging DVTs can improve the use of data for evidence-based decision-making, but decision makers must trust that the data are believable, credible, timely, and responsive. The results support the significance of a tailored data ecosystem, which has not reached its full potential in Bangladesh. Recommendations to reach this potential include ensuring a clear intended user base and accountable stakeholders are present. Systems should also have the capacity to ensure data credibility and support ongoing personal power requirements. ", doi="10.2196/48294", url="https://www.jmir.org/2024/1/e48294", url="http://www.ncbi.nlm.nih.gov/pubmed/39348172" } @Article{info:doi/10.2196/55092, author="Rampilo, Mashudu and Phalane, Edith and Phaswana-Mafuya, Nancy Refilwe", title="Piloting the Inclusion of the Key Populations Unique Identifier Code in the South African Routine Health Information Management System: Protocol for a Multiphased Study", journal="JMIR Res Protoc", year="2024", month="Sep", day="6", volume="13", pages="e55092", keywords="key populations", keywords="unique identifier code", keywords="biometric", keywords="biometrics", keywords="alphanumeric code", keywords="routine health management information system", keywords="health management", keywords="management", keywords="protocol", keywords="mixed methods study", keywords="South Africa", keywords="human immunodeficiency", keywords="immunodeficiency", keywords="HIV", keywords="AIDS", keywords="transgender", keywords="epidemiology", keywords="data extraction", keywords="HIV transmission", abstract="Background: The global community has set an ambitious goal to end HIV/AIDS as a public health threat by 2030. Significant progress has been achieved in pursuing these objectives; however, concerns remain regarding the lack of disaggregated routine data for key populations (KPs) for a targeted HIV response. KPs include female sex workers, transgender populations, gay men and other men who have sex with men, people who are incarcerated, and people who use drugs. From an epidemiological perspective, KPs play a fundamental role in shaping the dynamics of HIV transmission due to specific behaviors. In South Africa, routine health information management systems (RHIMS) do not include a unique identifier code (UIC) for KPs. The purpose of this protocol is to develop the framework for improved HIV monitoring and programming through piloting the inclusion of KPs UIC in the South African RHIMS. Objective: This paper aims to describe the protocol for a multiphased study to pilot the inclusion of KPs UIC in RHIMS. Methods: We will conduct a multiphased study to pilot the framework for the inclusion of KPs UIC in the RHIMS. The study has attained the University of Johannesburg Research Ethics Committee approval (REC-2518-2023). This study has four objectives, including a systematic review, according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines (objective 1). Second, policy document review and in-depth stakeholder interviews using semistructured questionnaires (objective 2). Third, exploratory data analysis of deidentified HIV data sets (objective 3), and finally, piloting the framework to assess the feasibility of incorporating KPs UIC in RHIMS using findings from objectives 1, 2, and 3 (objective 4). Qualitative and quantitative data will be analyzed using ATLAS.ti (version 6; ATLAS.ti Scientific Software Development GmbH) and Python (version 3.8; Python Software Foundation) programming language, respectively. Results: The results will encompass a systematic review of literature, qualitative interviews, and document reviews, along with exploratory analysis of deidentified routine program data and findings from the pilot study. The systematic review has been registered in PROSPERO (International Prospective Register of Systematic Reviews; CRD42023440656). Data collection is planned to commence in September 2024 and expected results for all objectives will be published by December 2025. Conclusions: The study will produce a framework to be recommended for the inclusion of the KP UIC national rollout. The study results will contribute to the knowledge base around the inclusion of KPs UIC in RHIMS data. Trial Registration: PROSPERO CRD42023440656; https://tinyurl.com/msnppany International Registered Report Identifier (IRRID): PRR1-10.2196/55092 ", doi="10.2196/55092", url="https://www.researchprotocols.org/2024/1/e55092", url="http://www.ncbi.nlm.nih.gov/pubmed/39240683" } @Article{info:doi/10.2196/58548, author="Julian, Silva Guilherme and Shau, Wen-Yi and Chou, Hsu-Wen and Setia, Sajita", title="Bridging Real-World Data Gaps: Connecting Dots Across 10 Asian Countries", journal="JMIR Med Inform", year="2024", month="Aug", day="15", volume="12", pages="e58548", keywords="Asia", keywords="electronic medical records", keywords="EMR", keywords="health care databases", keywords="health technology assessment", keywords="HTA", keywords="real-world data", keywords="real-world evidence", doi="10.2196/58548", url="https://medinform.jmir.org/2024/1/e58548", url="http://www.ncbi.nlm.nih.gov/pubmed/39026427" } @Article{info:doi/10.2196/50125, author="Marley, Gifty and Dako-Gyeke, Phyllis and Nepal, Prajwol and Rajgopal, Rohini and Koko, Evelyn and Chen, Elizabeth and Nuamah, Kwabena and Osei, Kingsley and Hofkirchner, Hubertus and Marks, Michael and Tucker, D. Joseph and Eggo, Rosalind and Ampofo, William and Sylvia, Sean", title="Collective Intelligence--Based Participatory COVID-19 Surveillance in Accra, Ghana: Pilot Mixed Methods Study", journal="JMIR Infodemiology", year="2024", month="Aug", day="12", volume="4", pages="e50125", keywords="information markets", keywords="participatory disease surveillance", keywords="collective intelligence", keywords="community engagement", keywords="the wisdom of the crowds", keywords="Ghana", keywords="mobile phone", abstract="Background: Infectious disease surveillance is difficult in many low- and middle-income countries. Information market (IM)--based participatory surveillance is a crowdsourcing method that encourages individuals to actively report health symptoms and observed trends by trading web-based virtual ``stocks'' with payoffs tied to a future event. Objective: This study aims to assess the feasibility and acceptability of a tailored IM surveillance system to monitor population-level COVID-19 outcomes in Accra, Ghana. Methods: We designed and evaluated a prediction markets IM system from October to December 2021 using a mixed methods study approach. Health care workers and community volunteers aged ?18 years living in Accra participated in the pilot trading. Participants received 10,000 virtual credits to trade on 12 questions on COVID-19--related outcomes. Payoffs were tied to the cost estimation of new and cumulative cases in the region (Greater Accra) and nationwide (Ghana) at specified future time points. Questions included the number of new COVID-19 cases, the number of people likely to get the COVID-19 vaccination, and the total number of COVID-19 cases in Ghana by the end of the year. Phone credits were awarded based on the tally of virtual credits left and the participant's percentile ranking. Data collected included age, occupation, and trading frequency. In-depth interviews explored the reasons and factors associated with participants' user journey experience, barriers to system use, and willingness to use IM systems in the future. Trading frequency was assessed using trend analysis, and ordinary least squares regression analysis was conducted to determine the factors associated with trading at least once. Results: Of the 105 eligible participants invited, 21 (84\%) traded at least once on the platform. Questions estimating the national-level number of COVID-19 cases received 13 to 19 trades, and obtaining COVID-19--related information mainly from television and radio was associated with less likelihood of trading (marginal effect: ?0.184). Individuals aged <30 years traded 7.5 times more and earned GH {\textcent}134.1 (US \$11.7) more in rewards than those aged >30 years (marginal effect: 0.0135). Implementing the IM surveillance was feasible; all 21 participants who traded found using IM for COVID-19 surveillance acceptable. Active trading by friends with communal discussion and a strong onboarding process facilitated participation. The lack of bidirectional communication on social media and technical difficulties were key barriers. Conclusions: Using an IM system for disease surveillance is feasible and acceptable in Ghana. This approach shows promise as a cost-effective source of information on disease trends in low- and middle-income countries where surveillance is underdeveloped, but further studies are needed to optimize its use. ", doi="10.2196/50125", url="https://infodemiology.jmir.org/2024/1/e50125" } @Article{info:doi/10.2196/45242, author="Bostan, Sarah and Johnson, A. Owen and Jaspersen, J. Lena and Randell, Rebecca", title="Contextual Barriers to Implementing Open-Source Electronic Health Record Systems for Low- and Lower-Middle-Income Countries: Scoping Review", journal="J Med Internet Res", year="2024", month="Aug", day="1", volume="26", pages="e45242", keywords="implementation", keywords="open source", keywords="electronic health records", keywords="digital health", keywords="low- and lower-middle-income countries", keywords="barriers", keywords="global health care", keywords="scoping", keywords="review", abstract="Background: Low- and lower-middle-income countries account for a higher percentage of global epidemics and chronic diseases. In most low- and lower-middle-income countries, there is limited access to health care. The implementation of open-source electronic health records (EHRs) can be understood as a powerful enabler for low- and lower-middle-income countries because it can transform the way health care technology is delivered. Open-source EHRs can enhance health care delivery in low- and lower-middle-income countries by improving the collection, management, and analysis of health data needed to inform health care delivery, policy, and planning. While open-source EHR systems are cost-effective and adaptable, they have not proliferated rapidly in low- and lower-middle-income countries. Implementation barriers slow adoption, with existing research focusing predominantly on technical issues preventing successful implementation. Objective: This interdisciplinary scoping review aims to provide an overview of contextual barriers affecting the adaptation and implementation of open-source EHR systems in low- and lower-middle-income countries and to identify areas for future research. Methods: We conducted a scoping literature review following a systematic methodological framework. A total of 7 databases were selected from 3 disciplines: medicine and health sciences, computing, and social sciences. The findings were reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist. The Mixed Methods Appraisal Tool and the Critical Appraisal Skills Programme checklists were used to assess the quality of relevant studies. Data were collated and summarized, and results were reported qualitatively, adopting a narrative synthesis approach. Results: This review included 13 studies that examined open-source EHRs' adaptation and implementation in low- and lower-middle-income countries from 3 interrelated perspectives: socioenvironmental, technological, and organizational barriers. The studies identified key issues such as limited funding, sustainability, organizational and management challenges, infrastructure, data privacy and protection, and ownership. Data protection, confidentiality, ownership, and ethics emerged as important issues, often overshadowed by technical processes. Conclusions: While open-source EHRs have the potential to enhance health care delivery in low- and lower-middle-income-country settings, implementation is fraught with difficulty. This scoping review shows that depending on the adopted perspective to implementation, different implementation barriers come into view. A dominant focus on technology distracts from socioenvironmental and organizational barriers impacting the proliferation of open-source EHRs. The role of local implementing organizations in addressing implementation barriers in low- and lower-middle-income countries remains unclear. A holistic understanding of implementers' experiences of implementation processes is needed. This could help characterize and solve implementation problems, including those related to ethics and the management of data protection. Nevertheless, this scoping review provides a meaningful contribution to the global health informatics discipline. ", doi="10.2196/45242", url="https://www.jmir.org/2024/1/e45242" } @Article{info:doi/10.2196/50375, author="Yilma, Melese Tesfahun and Taddese, Asefa and Mamuye, Adane and Endehabtu, Fikadie Berhanu and Alemayehu, Yibeltal and Senay, Asaye and Daka, Dawit and Abraham, Loko and Tadesse, Rabeal and Melkamu, Gemechis and Wendrad, Naod and Kaba, Oli and Mohammed, Mesoud and Denboba, Wubshet and Birhan, Dawit and Biru, Amanuel and Tilahun, Binyam", title="Maturity Assessment of District Health Information System Version 2 Implementation in Ethiopia: Current Status and Improvement Pathways", journal="JMIR Med Inform", year="2024", month="Jul", day="26", volume="12", pages="e50375", keywords="health information system", keywords="digital health system", keywords="District Health Information System version 2", keywords="DHIS2", keywords="maturity assessment", keywords="Stages of Continuous Improvement", keywords="Ethiopia", abstract="Background: Although Ethiopia has made remarkable progress in the uptake of the District Health Information System version 2 (DHIS2) for national aggregate data reporting, there has been no comprehensive assessment of the maturity level of the system. Objective: This study aims to assess the maturity level of DHIS2 implementation in Ethiopia and propose a road map that could guide the progress toward a higher level of maturity. We also aim to assess the current maturity status, implementation gaps, and future directions of DHIS2 implementation in Ethiopia. The assessment focused on digital health system governance, skilled human resources, information and communication technology (ICT) infrastructure, interoperability, and data quality and use. Methods: A collaborative assessment was conducted with the engagement of key stakeholders through consultative workshops using the Stages of Continuous Improvement tool to measure maturity levels in 5 core domains, 13 components, and 39 subcomponents. A 5-point scale (1=emerging, 2=repeatable, 3=defined, 4=managed, and 5=optimized) was used to measure the DHIS2 implementation maturity level. Results: The national DHIS2 implementation's maturity level is currently at the defined stage (score=2.81) and planned to move to the manageable stage (score=4.09) by 2025. The domain-wise maturity score indicated that except for ICT infrastructure, which is at the repeatable stage (score=2.14), the remaining 4 domains are at the defined stage (score=3). The development of a standardized and basic DHIS2 process at the national level, the development of a 10-year strategic plan to guide the implementation of digital health systems including DHIS2, and the presence of the required competencies at the facility level to accomplish specific DHIS2-related tasks are the major strength of the Ministry of Health of Ethiopia so far. The lack of workforce competency guidelines to support the implementation of DHIS2; the unavailability of core competencies (knowledge, skills, and abilities) required to accomplish DHIS2 tasks at all levels of the health system; and ICT infrastructures such as communication network and internet connectivity at the district, zonal, and regional levels are the major hindrances to effective DHIS2 implementation in the country. Conclusions: On the basis of the Stages of Continuous Improvement maturity model toolkit, the implementation status of DHIS2 in Ethiopia is at the defined stage, with the ICT infrastructure domain being at the lowest stage as compared to the other 4 domains. By 2025, the maturity status is planned to move from the defined stage to the managed stage by improving the identified gaps. Various action points are suggested to address the identified gaps and reach the stated maturity level. The responsible body, necessary resources, and methods of verification required to reach the specified maturity level are also listed. ", doi="10.2196/50375", url="https://medinform.jmir.org/2024/1/e50375" } @Article{info:doi/10.2196/55959, author="Aisyah, Nur Dewi and Setiawan, Heri Agus and Lokopessy, Fawwaz Alfiano and Faradiba, Nadia and Setiaji, Setiaji and Manikam, Logan and Kozlakidis, Zisis", title="The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study", journal="JMIR Med Inform", year="2024", month="Jul", day="18", volume="12", pages="e55959", keywords="public health centers", keywords="Puskesmas", keywords="digital maturity", keywords="infrastructure", keywords="primary health care", keywords="district health office", keywords="primary care clinics", keywords="Asia", keywords="Asian", keywords="Indonesia", keywords="ICT", keywords="information and communication technologies", keywords="information and communication technology", keywords="maturity", keywords="adoption", keywords="readiness", keywords="implementation", keywords="eHealth", keywords="telehealth", keywords="telemedicine", keywords="cross sectional", keywords="survey", keywords="surveys", keywords="questionnaire", keywords="questionnaires", keywords="primary care", abstract="Background: Indonesia has rapidly embraced digital health, particularly during the COVID-19 pandemic, with over 15 million daily health application users. To advance its digital health vision, the government is prioritizing the development of health data and application systems into an integrated health care technology ecosystem. This initiative involves all levels of health care, from primary to tertiary, across all provinces. In particular, it aims to enhance primary health care services (as the main interface with the general population) and contribute to Indonesia's digital health transformation. Objective: This study assesses the information and communication technology (ICT) maturity in Indonesian health care services to advance digital health initiatives. ICT maturity assessment tools, specifically designed for middle-income countries, were used to evaluate digital health capabilities in 9 provinces across 5 Indonesian islands. Methods: A cross-sectional survey was conducted from February to March 2022, in 9 provinces across Indonesia, representing the country's diverse conditions on its major islands. Respondents included staff from public health centers (Puskesmas), primary care clinics (Klinik Pratama), and district health offices (Dinas Kesehatan Kabupaten/Kota). The survey used adapted ICT maturity assessment questionnaires, covering human resources, software and system, hardware, and infrastructure. It was administered electronically and involved 121 public health centers, 49 primary care clinics, and 67 IT staff from district health offices. Focus group discussions were held to delve deeper into the assessment results and gain more descriptive insights. Results: In this study, 237 participants represented 3 distinct categories: 121 public health centers, 67 district health offices, and 49 primary clinics. These instances were selected from a sample of 9 of the 34 provinces in Indonesia. Collected data from interviews and focus group discussions were transformed into scores on a scale of 1 to 5, with 1 indicating low ICT readiness and 5 indicating high ICT readiness. On average, the breakdown of ICT maturity scores was as follows: 2.71 for human resources' capability in ICT use and system management, 2.83 for software and information systems, 2.59 for hardware, and 2.84 for infrastructure, resulting in an overall average score of 2.74. According to the ICT maturity level pyramid, the ICT maturity of health care providers in Indonesia fell between the basic and good levels. The need to pursue best practices also emerged strongly. Further analysis of the ICT maturity scores, when examined by province, revealed regional variations. Conclusions: The maturity of ICT use is influenced by several critical components. Enhancing human resources, ensuring infrastructure, the availability of supportive hardware, and optimizing information systems are imperative to attain ICT maturity in health care services. In the context of ICT maturity assessment, significant score variations were observed across health care levels in the 9 provinces, underscoring the diversity in ICT readiness and the need for regionally customized follow-up actions. ", doi="10.2196/55959", url="https://medinform.jmir.org/2024/1/e55959" } @Article{info:doi/10.2196/54669, author="Matzke, Ina and Huhn, Sophie and Koch, Mara and Maggioni, Anna Martina and Munga, Stephen and Muma, Okoth Julius and Odhiambo, Ochieng Collins and Kwaro, Daniel and Obor, David and B{\"a}rnighausen, Till and Dambach, Peter and Barteit, Sandra", title="Assessment of Heat Exposure and Health Outcomes in Rural Populations of Western Kenya by Using Wearable Devices: Observational Case Study", journal="JMIR Mhealth Uhealth", year="2024", month="Jul", day="4", volume="12", pages="e54669", keywords="wearables", keywords="wearable", keywords="tracker", keywords="trackers", keywords="climate", keywords="Africa", keywords="environment", keywords="environmental", keywords="heat", keywords="weather", keywords="exposure", keywords="temperature", keywords="rural", keywords="fitness trackers", keywords="climate change", keywords="health", keywords="sub-Saharan Africa", keywords="Kenya", keywords="outcome", keywords="outcomes", abstract="Background: Climate change increasingly impacts health, particularly of rural populations in sub-Saharan Africa due to their limited resources for adaptation. Understanding these impacts remains a challenge, as continuous monitoring of vital signs in such populations is limited. Wearable devices (wearables) present a viable approach to studying these impacts on human health in real time. Objective: The aim of this study was to assess the feasibility and effectiveness of consumer-grade wearables in measuring the health impacts of weather exposure on physiological responses (including activity, heart rate, body shell temperature, and sleep) of rural populations in western Kenya and to identify the health impacts associated with the weather exposures. Methods: We conducted an observational case study in western Kenya by utilizing wearables over a 3-week period to continuously monitor various health metrics such as step count, sleep patterns, heart rate, and body shell temperature. Additionally, a local weather station provided detailed data on environmental conditions such as rainfall and heat, with measurements taken every 15 minutes. Results: Our cohort comprised 83 participants (42 women and 41 men), with an average age of 33 years. We observed a positive correlation between step count and maximum wet bulb globe temperature (estimate 0.06, SE 0.02; P=.008). Although there was a negative correlation between minimum nighttime temperatures and heat index with sleep duration, these were not statistically significant. No significant correlations were found in other applied models. A cautionary heat index level was recorded on 194 (95.1\%) of 204 days. Heavy rainfall (>20 mm/day) occurred on 16 (7.8\%) out of 204 days. Despite 10 (21\%) out of 47 devices failing, data completeness was high for sleep and step count (mean 82.6\%, SD 21.3\% and mean 86.1\%, SD 18.9\%, respectively), but low for heart rate (mean 7\%, SD 14\%), with adult women showing significantly higher data completeness for heart rate than men (2-sided t test: P=.003; Mann-Whitney U test: P=.001). Body shell temperature data achieved 36.2\% (SD 24.5\%) completeness. Conclusions: Our study provides a nuanced understanding of the health impacts of weather exposures in rural Kenya. Our study's application of wearables reveals a significant correlation between physical activity levels and high temperature stress, contrasting with other studies suggesting decreased activity in hotter conditions. This discrepancy invites further investigation into the unique socioenvironmental dynamics at play, particularly in sub-Saharan African contexts. Moreover, the nonsignificant trends observed in sleep disruption due to heat expose the need for localized climate change mitigation strategies, considering the vital role of sleep in health. These findings emphasize the need for context-specific research to inform policy and practice in regions susceptible to the adverse health effects of climate change. ", doi="10.2196/54669", url="https://mhealth.jmir.org/2024/1/e54669", url="http://www.ncbi.nlm.nih.gov/pubmed/38963698" } @Article{info:doi/10.2196/49127, author="Fraser, F. Hamish S. and Mugisha, Michael and Bacher, Ian and Ngenzi, Lune Joseph and Seebregts, Christopher and Umubyeyi, Aline and Condo, Jeanine", title="Factors Influencing Data Quality in Electronic Health Record Systems in 50 Health Facilities in Rwanda and the Role of Clinical Alerts: Cross-Sectional Observational Study", journal="JMIR Public Health Surveill", year="2024", month="Jul", day="3", volume="10", pages="e49127", keywords="data quality", keywords="electronic health record", keywords="EHR", keywords="electronic medical record", keywords="EMR", keywords="HIV", keywords="Rwanda", abstract="Background: Electronic health records (EHRs) play an increasingly important role in delivering HIV care in low- and middle-income countries. The data collected are used for direct clinical care, quality improvement, program monitoring, public health interventions, and research. Despite widespread EHR use for HIV care in African countries, challenges remain, especially in collecting high-quality data. Objective: We aimed to assess data completeness, accuracy, and timeliness compared to paper-based records, and factors influencing data quality in a large-scale EHR deployment in Rwanda. Methods: We randomly selected 50 health facilities (HFs) using OpenMRS, an EHR system that supports HIV care in Rwanda, and performed a data quality evaluation. All HFs were part of a larger randomized controlled trial, with 25 HFs receiving an enhanced EHR with clinical decision support systems. Trained data collectors visited the 50 HFs to collect 28 variables from the paper charts and the EHR system using the Open Data Kit app. We measured data completeness, timeliness, and the degree of matching of the data in paper and EHR records, and calculated concordance scores. Factors potentially affecting data quality were drawn from a previous survey of users in the 50 HFs. Results: We randomly selected 3467 patient records, reviewing both paper and EHR copies (194,152 total data items). Data completeness was >85\% threshold for all data elements except viral load (VL) results, second-line, and third-line drug regimens. Matching scores for data values were close to or >85\% threshold, except for dates, particularly for drug pickups and VL. The mean data concordance was 10.2 (SD 1.28) for 15 (68\%) variables. HF and user factors (eg, years of EHR use, technology experience, EHR availability and uptime, and intervention status) were tested for correlation with data quality measures. EHR system availability and uptime was positively correlated with concordance, whereas users' experience with technology was negatively correlated with concordance. The alerts for missing VL results implemented at 11 intervention HFs showed clear evidence of improving timeliness and completeness of initially low matching of VL results in the EHRs and paper records (11.9\%-26.7\%; P<.001). Similar effects were seen on the completeness of the recording of medication pickups (18.7\%-32.6\%; P<.001). Conclusions: The EHR records in the 50 HFs generally had high levels of completeness except for VL results. Matching results were close to or >85\% threshold for nondate variables. Higher EHR stability and uptime, and alerts for entering VL both strongly improved data quality. Most data were considered fit for purpose, but more regular data quality assessments, training, and technical improvements in EHR forms, data reports, and alerts are recommended. The application of quality improvement techniques described in this study should benefit a wide range of HFs and data uses for clinical care, public health, and disease surveillance. ", doi="10.2196/49127", url="https://publichealth.jmir.org/2024/1/e49127" } @Article{info:doi/10.2196/58549, author="Soehnchen, Clarissa and Burmann, Anja and Henningsen, Maike and Meister, Sven", title="A Digital Sexual Health Education Web Application for Resource-Poor Regions in Kenya: Implementation-Oriented Case Study Using the Intercultural Research Model", journal="JMIR Form Res", year="2024", month="Jul", day="3", volume="8", pages="e58549", keywords="sexual health education", keywords="Intercultural Research Model", keywords="semistructured interview", keywords="SUS analysis", keywords="user-centered design", abstract="Background: Developing a digital educational application focused on sexual health education necessitates a framework that integrates cultural considerations effectively. Drawing from previous research, we identified the problem and essential requirements to incorporate cultural insights into the development of a solution. Objective: This study aims to explore the Solution Room of the self-established Intercultural Research Model, with a focus on creating a reusable framework for developing and implementing a widely accessible digital educational tool for sexual health. The study centers on advancing from a low-fidelity prototype (She!Masomo) to a high-fidelity prototype (We!Masomo), while evaluating its system usability through differentiation. This research contributes to the pursuit of Sustainable Development Goals 3, 4, and 5. Methods: The research methodology is anchored in the Solution Room of the self-expanded Intercultural Research Model, which integrates cultural considerations. It uses a multimethod, user-centered design thinking approach, focusing on extensive human involvement for the open web-based application. This includes gathering self-assessed textual user feedback, conducting a System Usability Scale (SUS) analysis, and conducting 4 face-to-face semistructured expert interviews, following COREQ (Consolidated Criteria for Reporting Qualitative Research) guidelines. Results: Based on the identified limitations of the low-fidelity prototype, She!Masomo (SUS score 67), which were highlighted through textual user feedback (63/77) and prototype feature comparisons, iterative development and improvement were implemented. This process led to the creation of an enhanced high-fidelity prototype (We!Masomo). The improved effectiveness of the enhanced prototype was evaluated using the qualitative SUS analysis (82/90), resulting in a favorable score of 77.3, compared with the previous SUS score of 67 for the low-fidelity prototype. Highlighting the importance of accessible digital educational tools, this study conducted 4 expert interviews (4/4) and reported e-survey results following the CHERRIES (Checklist for Reporting Results of Internet E-Surveys) guideline. The digital educational platform, We!Masomo, is specifically designed to promote universal and inclusive free access to information. Therefore, the developed high-fidelity prototype was implemented in Kenya. Conclusions: The primary outcome of this research provides a comprehensive exploration of utilizing a case study methodology to advance the development of digital educational web tools, particularly focusing on cultural sensitivity and sensitive educational subjects. It offers critical insights for effectively introducing such tools in regions with limited resources. Nonetheless, it is crucial to emphasize that the findings underscore the importance of integrating culture-specific components during the design phase. This highlights the necessity of conducting a thorough requirement engineering analysis and developing a low-fidelity prototype, followed by an SUS analysis. These measures are particularly critical when disseminating sensitive information, such as sexual health, through digital platforms. International Registered Report Identifier (IRRID): RR2-10.1186/s12905-023-02839-6 ", doi="10.2196/58549", url="https://formative.jmir.org/2024/1/e58549" } @Article{info:doi/10.2196/53905, author="Adamu, Gati Umar and Badianyama, Marheb and Mpanya, Dineo and Maseko, Muzi and Tsabedze, Nqoba", title="The Use of Metabolomes in Risk Stratification of Heart Failure Patients: Protocol for a Scoping Review", journal="JMIR Res Protoc", year="2024", month="May", day="23", volume="13", pages="e53905", keywords="metabolomes", keywords="metabolomics", keywords="heart failure", keywords="risk stratification", keywords="morbidity", keywords="mortality", keywords="metabolic abnormality", keywords="scoping review protocol", keywords="electronic database", abstract="Background: Heart failure (HF) is a significant health problem that is often associated with major morbidity and mortality. Metabolic abnormalities occur in HF and may be used to identify individuals at risk of developing the condition. Furthermore, these metabolic changes may play a role in the pathogenesis and progression of HF. Despite this knowledge, the utility of metabolic changes in diagnosis, management, prognosis, and therapy for patients with chronic HF has not been systematically reviewed. Objective: This scoping review aims to systematically appraise the literature on metabolic changes in patients with HF, describe the role of these changes in pathogenesis, progression, and care, and identify knowledge gaps to inform future research. Methods: This review will be conducted using a strategy based on previous reports, the JBI Manual for Evidence Synthesis, and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews (PRISMA-ScR) guidelines. A comprehensive search of electronic databases (Medline, EBSCOhost, Scopus, and Web of Science) will be conducted using keywords related to HF, myocardial failure, metabolomes, metabonomics, and analytical chemistry techniques. The search will include original peer-reviewed research papers (clinical studies conducted on humans and systematic reviews with or without a meta-analysis) published between January 2010 and September 2023. Studies that include patients with HF younger than 18 years or those not published in English will be excluded. Two authors (UGA and MB) will screen the titles and abstracts independently and perform a full-text screen of the relevant and eligible papers. Relevant data will be extracted and synthesized, and a third author or group will be consulted to resolve discrepancies. Results: This scoping review will span from January 2010 to September 2023, and the results will be published in a peer-reviewed, open-access journal as a scoping review in 2024. The presentation of the findings will use the PRISMA-ScR flow diagram and descriptive and narrative formats, including tables and graphical displays, to provide a comprehensive overview of the extracted data. Conclusions: This review aims to collect and analyze the available evidence on metabolic changes in patients with HF, aiming to enhance our current understanding of this topic. Additionally, this review will identify the most commonly used and suitable sample, analytical method, and specific metabolomes to facilitate standardization, reproducibility of results, and application in the diagnosis, treatment, and risk stratification of patients with HF. Finally, it is hoped that this review's outcomes will inspire further research into the metabolomes of patients with HF in low- and middle-income countries. Trial Registration: Open Science Framework; https://osf.io/sp6xj International Registered Report Identifier (IRRID): DERR1-10.2196/53905 ", doi="10.2196/53905", url="https://www.researchprotocols.org/2024/1/e53905", url="http://www.ncbi.nlm.nih.gov/pubmed/38781584" } @Article{info:doi/10.2196/52145, author="Ambrosio, Graca Maria Da and Lachman, M. Jamie and Zinzer, Paula and Gwebu, Hlengiwe and Vyas, Seema and Vallance, Inge and Calderon, Francisco and Gardner, Frances and Markle, Laurie and Stern, David and Facciola, Chiara and Schley, Anne and Danisa, Nompumelelo and Brukwe, Kanyisile and Melendez-Torres, GJ", title="A Factorial Randomized Controlled Trial to Optimize User Engagement With a Chatbot-Led Parenting Intervention: Protocol for the ParentText Optimisation Trial", journal="JMIR Res Protoc", year="2024", month="May", day="3", volume="13", pages="e52145", keywords="parenting intervention", keywords="chatbot-led public health intervention", keywords="engagement", keywords="implementation science", keywords="mobile phone", abstract="Background: Violence against children (VAC) is a serious public health concern with long-lasting adverse effects. Evidence-based parenting programs are one effective means to prevent VAC; however, these interventions are not scalable in their typical in-person group format, especially in low- and middle-income countries where the need is greatest. While digital delivery, including via chatbots, offers a scalable and cost-effective means to scale up parenting programs within these settings, it is crucial to understand the key pillars of user engagement to ensure their effective implementation. Objective: This study aims to investigate the most effective and cost-effective combination of external components to optimize user engagement with ParentText, an open-source chatbot-led parenting intervention to prevent VAC in Mpumalanga, South Africa. Methods: This study will use a mixed methods design incorporating a 2 {\texttimes} 2 factorial cluster-randomized controlled trial and qualitative interviews. Parents of adolescent girls (32 clusters, 120 participants [60 parents and 60 girls aged 10 to 17 years] per cluster; N=3840 total participants) will be recruited from the Ehlanzeni and Nkangala districts of Mpumalanga. Clusters will be randomly assigned to receive 1 of the 4 engagement packages that include ParentText alone or combined with in-person sessions and a facilitated WhatsApp support group. Quantitative data collected will include pretest-posttest parent- and adolescent-reported surveys, facilitator-reported implementation data, and digitally tracked engagement data. Qualitative data will be collected from parents and facilitators through in-person or over-the-phone individual semistructured interviews and used to expand the interpretation and understanding of the quantitative findings. Results: Recruitment and data collection started in August 2023 and were finalized in November 2023. The total number of participants enrolled in the study is 1009, with 744 caregivers having completed onboarding to the chatbot-led intervention. Female participants represent 92.96\% (938/1009) of the sample population, whereas male participants represent 7.03\% (71/1009). The average participant age is 43 (SD 9) years. Conclusions: The ParentText Optimisation Trial is the first study to rigorously test engagement with a chatbot-led parenting intervention in a low- or middle-income country. The results of this study will inform the final selection of external delivery components to support engagement with ParentText in preparation for further evaluation in a randomized controlled trial in 2024. Trial Registration: Open Science Framework (OSF); https://doi.org/10.17605/OSF.IO/WFXNE International Registered Report Identifier (IRRID): DERR1-10.2196/52145 ", doi="10.2196/52145", url="https://www.researchprotocols.org/2024/1/e52145", url="http://www.ncbi.nlm.nih.gov/pubmed/38700935" } @Article{info:doi/10.2196/52106, author="Jockers, Dominik and Bakoubayi, Wimima Akila and B{\"a}rnighausen, Kate and Bando, P'kont{\`e}me P'tanam and Pechar, Stefanie and Maina, Wamuyu Teresia and Wachinger, Jonas and Vetter, Mark and Djakpa, Yawovi and Saka, Bayaki and Gnossike, Piham and Schr{\"o}der, Maike Nora and Liu, Shuyan and Gadah, Yawovi Denis Agbenyigan and Kasang, Christa and B{\"a}rnighausen, Till", title="Effectiveness of Sensitization Campaigns in Reducing Leprosy-Related Stigma in Rural Togo: Protocol for a Mixed Methods Cluster Randomized Controlled Trial", journal="JMIR Res Protoc", year="2024", month="Apr", day="18", volume="13", pages="e52106", keywords="audio", keywords="community health worker", keywords="information campaign", keywords="knowledge, attitude, and practices", keywords="language", keywords="leprosy-related stigma", keywords="qualitative and quantitative research", keywords="stigma intervention", keywords="Togo", keywords="West Africa", abstract="Background: In the global strategy to eliminate leprosy, there remains a need for early case detection to successfully interrupt transmissions. Poor knowledge about leprosy and leprosy-related stigma are key drivers of delayed diagnosis and treatment. Sensitization campaigns to inform and increase awareness among the general population are an integral part of many national neglected tropical disease programs. Despite their importance, the effectiveness of such campaigns has not been rigorously studied in the West African context. A multilingual rural setting with low health literacy in this region presents challenges to the potential impact of sensitization campaigns. Objective: The primary objective of this study is to assess the causal effect of common practice community sensitization campaigns on leprosy-related knowledge and stigma at the community level and among community health volunteers. Additionally, we will test the potential of novel educational audio tools in the 15 most prominent local languages to overcome literacy and language barriers and amplify sensitization campaigns. Methods: We will conduct a cluster randomized controlled trial using a sequential mixed methods approach in 60 rural communities across all regions of Togo, West Africa. The study features 2 intervention arms and 1 control arm, with intervention and control assignments made at the community level through randomization. Communities in intervention arm 1 will receive a sensitization campaign in line with the current Togolese national neglected tropical disease program. Communities in intervention arm 2 will receive the same sensitization campaign along with educational audio tools distributed to community households. The control arm will receive no intervention before data collection. Quantitative outcome measures on knowledge and stigma will be collected from a random sample of 1200 individuals. Knowledge will be assessed using the 9-item standardized Knowledge, Attitudes, and Practices Questionnaire. Stigma will be measured using the 7-item Social Distance Scale and the 15-item Explanatory Model Interview Catalogue Community Stigma Scale. We will estimate intention-to-treat effects at the individual level, comparing the outcomes of the intervention and control arms. In an accompanying qualitative component, we will conduct in-depth interviews with community members, community health volunteers, and health care workers in both treatment arms and the control arm to explore intervention and stigma-related experiences. Results: This paper describes and discusses the protocol for a mixed methods cluster randomized controlled trial. Data collection is planned to be completed in June 2024, with ongoing data analysis. The first results are expected to be submitted for publication by the end of 2024. Conclusions: This trial will be among the first to test the causal effectiveness of community-based sensitization campaigns and audio tools to increase knowledge and reduce leprosy-related stigma. As such, the results will inform health policy makers, decision-makers, and public health practitioners designing sensitization campaigns in rural multilingual settings. Trial Registration: German Clinical Trials Register DRKS00029355; https://drks.de/search/en/trial/DRKS00029355 International Registered Report Identifier (IRRID): DERR1-10.2196/52106 ", doi="10.2196/52106", url="https://www.researchprotocols.org/2024/1/e52106", url="http://www.ncbi.nlm.nih.gov/pubmed/38635983" } @Article{info:doi/10.2196/54278, author="Taye, Kefiyalew Biniam and Gezie, Derseh Lemma and Atnafu, Asmamaw and Mengiste, Anagaw Shegaw and Kaasb{\o}ll, Jens and Gullslett, Knudsen Monika and Tilahun, Binyam", title="Effect of Performance-Based Nonfinancial Incentives on Data Quality in Individual Medical Records of Institutional Births: Quasi-Experimental Study", journal="JMIR Med Inform", year="2024", month="Apr", day="5", volume="12", pages="e54278", keywords="individual medical records", keywords="data quality", keywords="completeness", keywords="consistency", keywords="nonfinancial incentives", keywords="institutional birth", keywords="health care quality", keywords="quasi-experimental design", keywords="Ethiopia", abstract="Background: Despite the potential of routine health information systems in tackling persistent maternal deaths stemming from poor service quality at health facilities during and around childbirth, research has demonstrated their suboptimal performance, evident from the incomplete and inaccurate data unfit for practical use. There is a consensus that nonfinancial incentives can enhance health care providers' commitment toward achieving the desired health care quality. However, there is limited evidence regarding the effectiveness of nonfinancial incentives in improving the data quality of institutional birth services in Ethiopia. Objective: This study aimed to evaluate the effect of performance-based nonfinancial incentives on the completeness and consistency of data in the individual medical records of women who availed institutional birth services in northwest Ethiopia. Methods: We used a quasi-experimental design with a comparator group in the pre-post period, using a sample of 1969 women's medical records. The study was conducted in the ``Wegera'' and ``Tach-armacheho'' districts, which served as the intervention and comparator districts, respectively. The intervention comprised a multicomponent nonfinancial incentive, including smartphones, flash disks, power banks, certificates, and scholarships. Personal records of women who gave birth within 6 months before (April to September 2020) and after (February to July 2021) the intervention were included. Three distinct women's birth records were examined: the integrated card, integrated individual folder, and delivery register. The completeness of the data was determined by examining the presence of data elements, whereas the consistency check involved evaluating the agreement of data elements among women's birth records. The average treatment effect on the treated (ATET), with 95\% CIs, was computed using a difference-in-differences model. Results: In the intervention district, data completeness in women's personal records was nearly 4 times higher (ATET 3.8, 95\% CI 2.2-5.5; P=.02), and consistency was approximately 12 times more likely (ATET 11.6, 95\% CI 4.18-19; P=.03) than in the comparator district. Conclusions: This study indicates that performance-based nonfinancial incentives enhance data quality in the personal records of institutional births. Health care planners can adapt these incentives to improve the data quality of comparable medical records, particularly pregnancy-related data within health care facilities. Future research is needed to assess the effectiveness of nonfinancial incentives across diverse contexts to support successful scale-up. ", doi="10.2196/54278", url="https://medinform.jmir.org/2024/1/e54278", url="http://www.ncbi.nlm.nih.gov/pubmed/38578684" } @Article{info:doi/10.2196/50337, author="Aboye, Tadese Genet and Simegn, Lamesgin Gizeaddis and Aerts, Jean-Marie", title="Assessment of the Barriers and Enablers of the Use of mHealth Systems in Sub-Saharan Africa According to the Perceptions of Patients, Physicians, and Health Care Executives in Ethiopia: Qualitative Study", journal="J Med Internet Res", year="2024", month="Mar", day="27", volume="26", pages="e50337", keywords="barriers", keywords="chronic disease", keywords="digital health", keywords="eHealth", keywords="enablers", keywords="health care", keywords="mHealth", keywords="mobile health", keywords="perspectives", keywords="Sub-Saharan Africa", abstract="Background: Digital technologies are increasingly being used to deliver health care services and promote public health. Mobile wireless technologies or mobile health (mHealth) technologies are particularly relevant owing to their ease of use, broad reach, and wide acceptance. Unlike developed countries, Sub-Saharan Africa experiences more challenges and obstacles when it comes to deploying, using, and expanding mHealth systems. In addition to barriers, there are enabling factors that could be exploited for the design, implementation, and scaling up of mHealth systems. Sub-Saharan Africa may require tailored solutions that address the specific challenges facing the region. Objective: The overall aim of this study was to identify the barriers and enablers for using mHealth systems in Sub-Saharan Africa from the perspectives of patients, physicians, and health care executives. Methods: Multi-level and multi-actor in-depth semistructured interviews were employed to qualitatively explore the barriers and enablers of the use of mHealth systems. Data were collected from patients, physicians, and health care executives. The interviews were audio recorded, transcribed verbatim, translated, and coded. Thematic analysis methodology was adopted, and NVivo software was used for the data analysis. Results: Through this rigorous study, a total of 137 determinants were identified. Of these determinants, 68 were identified as barriers and 69 were identified as enablers. Perceived barriers in patients included lack of awareness about mHealth systems and language barriers. Perceived enablers in patients included need for automated tools for health monitoring and an increasing literacy level of the society. According to physicians, barriers included lack of available digital health systems in the local context and concern about patients' mHealth capabilities, while enablers included the perceived usefulness in reducing workload and improving health care service quality, as well as the availability of mobile devices and the internet. As perceived by health care executives, barriers included competing priorities alongside digitalization in the health sector and lack of interoperability and complete digitalization of implemented digital health systems, while enablers included the perceived usefulness of digitalization for the survival of the highly overloaded health care system and the abundance of educated manpower specializing in technology. Conclusions: mHealth systems in Sub-Saharan Africa are hindered and facilitated by various factors. Common barriers and enablers were identified by patients, physicians, and health care executives. To promote uptake, all relevant stakeholders must actively mitigate the barriers. This study identified a promising outlook for mHealth in Sub-Saharan Africa, despite the present barriers. Opportunities exist for successful integration into health care systems, and a user-centered design is crucial for maximum uptake. ", doi="10.2196/50337", url="https://www.jmir.org/2024/1/e50337", url="http://www.ncbi.nlm.nih.gov/pubmed/38536231" } @Article{info:doi/10.2196/47081, author="Hailemariam, Tesfahun and Atnafu, Asmamaw and Gezie, Lemma and Kaasb{\o}ll, Jens and Klein, Jorn and Tilahun, Binyam", title="Intention to Use an Electronic Community Health Information System Among Health Extension Workers in Rural Northwest Ethiopia: Cross-Sectional Study Using the Unified Theory of Acceptance and Use of Technology 2 Model", journal="JMIR Hum Factors", year="2024", month="Mar", day="4", volume="11", pages="e47081", keywords="data capturing", keywords="data use", keywords="eCHIS", keywords="electronic community health information system", keywords="health extension worker", keywords="HEW", keywords="intention to use", keywords="service provision", keywords="Unified Theory of Acceptance and Use of Technology 2", keywords="UTAUT2 model", abstract="Background: IT has brought remarkable change in bridging the digital gap in resource-constrained regions and advancing the health care system worldwide. Community-based information systems and mobile apps have been extensively developed and deployed to quantify and support health services delivered by community health workers. The success and failure of a digital health information system depends on whether and how it is used. Ethiopia is scaling up its electronic community health information system (eCHIS) to support the work of health extension workers (HEWs). For successful implementation, more evidence was required about the factors that may affect the willingness of HEWs to use the eCHIS. Objective: This study aimed to assess HEWs' intentions to use the eCHIS for health data management and service provision. Methods: A cross-sectional study design was conducted among 456 HEWs in 6 pilot districts of the Central Gondar zone, Northwest Ethiopia. A Unified Theory of Acceptance and Use of Technology model was used to investigate HEWs' intention to use the eCHIS. Data were cleaned, entered into Epi-data (version 4.02; EpiData Association), and exported to SPSS (version 26; IBM Corp) for analysis using the AMOS 23 Structural Equation Model. The statistical significance of dependent and independent variables in the model was reported using a 95\% CI with a corresponding P value of <.05. Results: A total of 456 HEWs participated in the study, with a response rate of 99\%. The mean age of the study participants was 28 (SD 4.8) years. Our study revealed that about 179 (39.3\%; 95\% CI 34.7\%-43.9\%) participants intended to use the eCHIS for community health data generation, use, and service provision. Effort expectancy ($\beta$=0.256; P=.007), self-expectancy ($\beta$=0.096; P=.04), social influence ($\beta$=0.203; P=.02), and hedonic motivation ($\beta$=0.217; P=.03) were significantly associated with HEWs' intention to use the eCHIS. Conclusions: HEWs need to be computer literate and understand their role with the eCHIS. Ensuring that the system is easy and enjoyable for them to use is important for implementation and effective health data management. ", doi="10.2196/47081", url="https://humanfactors.jmir.org/2024/1/e47081", url="http://www.ncbi.nlm.nih.gov/pubmed/38437008" } @Article{info:doi/10.2196/47703, author="Benda, Natalie and Dougherty, Kylie and Gebremariam Gobezayehu, Abebe and Cranmer, N. John and Zawtha, Sakie and Andreadis, Katerina and Biza, Heran and Masterson Creber, Ruth", title="Designing Electronic Data Capture Systems for Sustainability in Low-Resource Settings: Viewpoint With Lessons Learned From Ethiopia and Myanmar", journal="JMIR Public Health Surveill", year="2024", month="Feb", day="12", volume="10", pages="e47703", keywords="low and middle income countries", keywords="LMIC", keywords="electronic data capture", keywords="population health surveillance, sociotechnical system", keywords="data infrastructure", keywords="electronic data system", keywords="health care system", keywords="technology", keywords="information system", keywords="health program development", keywords="intervention", doi="10.2196/47703", url="https://publichealth.jmir.org/2024/1/e47703", url="http://www.ncbi.nlm.nih.gov/pubmed/38345833" } @Article{info:doi/10.2196/50371, author="Hartinger Pena, Maria Stella and M{\"a}usezahl, Daniel and J{\"a}ggi, Lena and Aguilar, Leonel and Alvarado Llatance, Milagros and Castellanos, Andreana and Huaylinos Bustamante, Maria-Luisa and Hinckley, Kristen and Charles McCoy, Dana and Zhang, Ce and Fink, G{\"u}nther", title="Digital Support Systems to Improve Child Health and Development in Peru: Protocol for a Randomized Controlled Trial", journal="JMIR Res Protoc", year="2023", month="Dec", day="14", volume="12", pages="e50371", keywords="child development", keywords="digital support", keywords="parenting", keywords="Peru", keywords="child", keywords="children", keywords="childhood", keywords="parent", keywords="parents", keywords="education", keywords="support", keywords="parental", keywords="cost", keywords="low income", keywords="low resource", keywords="digital health", keywords="platforms", keywords="pediatric", keywords="pediatrics", keywords="eHealth", keywords="e-health", keywords="RCT", keywords="RCTs", keywords="randomized", keywords="controlled trial", keywords="development", keywords="scalable", abstract="Background: Children living in low and middle-income countries (LMICs) are at greater risk for experiencing adversities that can undermine their health and early development. Recently launched digital early childhood development (ECD) programs attempt to support families with young children in their home environments using digital technologies. However, relatively little is known regarding the effectiveness of these new technologies. Objective: The goal of this study is to rigorously assess the reach, effectiveness, and cost-effectiveness of a newly developed digital ECD platform called Afini. The Afini platform was designed to support parents of young children in low-resource settings to improve ECD and interact with caregivers through messenger services and a chatbot. Methods: This is a 3-arm cluster randomized controlled trial. In total, 2471 caregivers and their 3- to 9-month-old children were enrolled in the study across 164 study clusters in the San Marcos, Cajabamba, and Cajamarca provinces of Peru. Clusters of participants were randomly assigned to 1 of 3 groups: a control group (72 community clusters and 980 caregiver-child dyads), a home visit intervention group (20 community clusters and 316 caregiver-child dyads), and an Afini intervention group (72 community clusters and 1175 caregiver-child dyads). Families in the control group receive no focused ECD intervention. The home visit group is receiving biweekly home visits by a trained field staff following the national ECD program (Programa Nacional Cuna M{\'a}s) curriculum and training guidelines. Caregivers in the Afini group are receiving ECD activities and advice through the digital platform. The primary study outcome is children's overall development at the age of 2.5 years, using the internationally validated long form of the Global Scales for Early Development. Secondary outcomes include caregiver engagement; caregiver mental health; screen time; as well as caregiver reports of children's motor, cognitive, language, and socioemotional development measured through locally piloted and validated tools. Results: Enrollment started in September 2021 and ended in March 2023. Endline assessments will take place between August 2023 and September 2024. Conclusions: This study is, to our knowledge, the first to rigorously assess the effectiveness and cost-effectiveness of digital ECD technologies in LMICs. Given the large number of children in LMICs currently receiving only limited external support, the evaluated platform has the potential to improve the short- and long-term well-being of millions of children and their parents globally. Trial Registration: ClinicalTrials.gov NCT05202106; https://clinicaltrials.gov/ct2/show/NCT05202106 International Registered Report Identifier (IRRID): DERR1-10.2196/50371 ", doi="10.2196/50371", url="https://www.researchprotocols.org/2023/1/e50371", url="http://www.ncbi.nlm.nih.gov/pubmed/38096020" } @Article{info:doi/10.2196/47706, author="Fuad, Anis and Tiara, Agi and Kusumasari, Amalia Rizqiani and Rimawati, Rimawati and Murhandarwati, Herdiana E. Elsa", title="Introducing a Regulatory Sandbox Into the Indonesian Health System Using e-Malaria as a Use Case: Participatory Action Study", journal="J Med Internet Res", year="2023", month="Dec", day="5", volume="25", pages="e47706", keywords="regulatory sandbox", keywords="digital health", keywords="disruptive technologies", keywords="e-malaria", keywords="participatory action research", keywords="Indonesia", abstract="Background: Regulatory sandboxes offer an alternative solution to address regulatory challenges in adopting disruptive technologies. Although regulatory sandboxes have been widely implemented in the financial sector across more than 50 countries, their application to the health sector remains limited. Objective: This study aims to explore stakeholders' perspectives on introducing a regulatory sandbox into the Indonesian health system using e-malaria as a use case. Methods: Using a participatory action research approach, this study conducted qualitative research, including desk reviews, focus group discussions, and in-depth interviews with stakeholders. This study sought to understand stakeholders' concerns and interests regarding the regulatory sandbox and to collaboratively develop a regulatory sandbox model to support the malaria program. Results: The study revealed that most stakeholders had limited awareness of the regulatory sandbox concept. Concerns have been raised regarding the time required to establish regulations, knowledge gaps among stakeholders, data protection issues, and limited digital infrastructure in malaria endemic areas. Existing regulations have been found to be inadequate to accommodate disruptive healthtech for malaria. Nevertheless, through a collaborative process, stakeholders successfully developed a regulatory sandbox model specifically for e-malaria, with the crucial support of the Ministry of Health. Conclusions: The regulatory sandbox holds the potential for adoption in the Indonesian health system to address the limited legal framework and to facilitate the rapid and safe adoption of disruptive healthtech in support of the malaria elimination program. Through stakeholder involvement, guidelines for implementing the regulatory sandbox were developed and innovators were successfully invited to participate in the first-ever trial of a health regulatory sandbox for e-malaria in Indonesia. Future studies should provide further insights into the challenges encountered during the e-malaria regulatory sandbox pilot study, offering a detailed account of the implementation process. ", doi="10.2196/47706", url="https://www.jmir.org/2023/1/e47706", url="http://www.ncbi.nlm.nih.gov/pubmed/38051555" } @Article{info:doi/10.2196/47052, author="Ye, Jiancheng and Xiong, Shangzhi and Wang, Tengyi and Li, Jingyi and Cheng, Nan and Tian, Maoyi and Yang, Yang", title="The Roles of Electronic Health Records for Clinical Trials in Low- and Middle-Income Countries: Scoping Review", journal="JMIR Med Inform", year="2023", month="Nov", day="22", volume="11", pages="e47052", keywords="electronic health records", keywords="clinical trials", keywords="low- and middle-income countries", abstract="Background: Clinical trials are a crucial element in advancing medical knowledge and developing new treatments by establishing the evidence base for safety and therapeutic efficacy. However, the success of these trials depends on various factors, including trial design, project planning, research staff training, and adequate sample size. It is also crucial to recruit participants efficiently and retain them throughout the trial to ensure timely completion. Objective: There is an increasing interest in using electronic health records (EHRs)---a widely adopted tool in clinical practice---for clinical trials. This scoping review aims to understand the use of EHR in supporting the conduct of clinical trials in low- and middle-income countries (LMICs) and to identify its strengths and limitations. Methods: A comprehensive search was performed using 5 databases: MEDLINE, Embase, Scopus, Cochrane Library, and the Cumulative Index to Nursing and Allied Health Literature. We followed the latest version of the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guideline to conduct this review. We included clinical trials that used EHR at any step, conducted a narrative synthesis of the included studies, and mapped the roles of EHRs into the life cycle of a clinical trial. Results: A total of 30 studies met the inclusion criteria: 13 were randomized controlled trials, 3 were cluster randomized controlled trials, 12 were quasi-experimental studies, and 2 were feasibility pilot studies. Most of the studies addressed infectious diseases (15/30, 50\%), with 80\% (12/15) of them about HIV or AIDS and another 40\% (12/30) focused on noncommunicable diseases. Our synthesis divided the roles of EHRs into 7 major categories: participant identification and recruitment (12/30, 40\%), baseline information collection (6/30, 20\%), intervention (8/30, 27\%), fidelity assessment (2/30, 7\%), primary outcome assessment (24/30, 80\%), nonprimary outcome assessment (13/30, 43\%), and extended follow-up (2/30, 7\%). None of the studies used EHR for participant consent and randomization. Conclusions: Despite the enormous potential of EHRs to increase the effectiveness and efficiency of conducting clinical trials in LMICs, challenges remain. Continued exploration of the appropriate uses of EHRs by navigating their strengths and limitations to ensure fitness for use is necessary to better understand the most optimal uses of EHRs for conducting clinical trials in LMICs. ", doi="10.2196/47052", url="https://medinform.jmir.org/2023/1/e47052", url="http://www.ncbi.nlm.nih.gov/pubmed/37991820" } @Article{info:doi/10.2196/48234, author="Wang, Dongqing and Nguyen, H. Christine and Fawzi, W. Wafaie", title="The Effects of Antenatal Interventions on Gestational Weight Gain in Low- and Middle-Income Countries: Protocol for a Systematic Review", journal="JMIR Res Protoc", year="2023", month="Nov", day="8", volume="12", pages="e48234", keywords="low- and middle-income countries", keywords="pregnant women", keywords="gestational weight gain", keywords="maternal nutrition", keywords="interventions", keywords="randomized controlled trials", keywords="systematic review", keywords="protocols", keywords="RCT", keywords="maternal", keywords="pregnant", keywords="pregnancy", keywords="review methodology", keywords="nutrition", keywords="gestational", keywords="weight", keywords="prenatal", keywords="LMIC", keywords="low income", keywords="middle income", abstract="Background: Gestational weight gain (GWG) is a crucial determinant of maternal and child outcomes yet remains an underused target for antenatal interventions in low- and middle-income countries (LMICs). Objective: This systematic review aims to identify and summarize educational, behavioral, nutritional, and medical interventions on GWG from randomized controlled trials conducted in LMICs. Methods: Randomized controlled trials that documented the effects of antenatal interventions on GWG in LMICs will be included. The interventions of interest will be educational, behavioral, nutritional, or medical. A systematic literature search will be conducted using PubMed, Embase, Web of Science, CINAHL (Cumulative Index to Nursing and Allied Health Literature), and the Cochrane Library from the inception of each database through October 2022 (with an updated search in January 2024). A total of 2 team members will independently perform the screening of studies and data extraction. A narrative synthesis of all the included studies will be provided. The risk of bias will be assessed using the Cochrane Risk of Bias tool. The certainty of the evidence for each homogeneous group of interventions will be assessed using the GRADE (Grading of Recommendation, Assessment, Development, and Evaluation) approach. A narrative synthesis of the included studies will be conducted to summarize mean differences (with 95\% CIs) for continuous outcomes and risk ratios, rate ratios, hazard ratios, or odds ratios (with 95\% CIs) for dichotomous or categorical outcomes. Available information on the costs of interventions will also be summarized to facilitate the adoption and scale-up of effective GWG interventions. Results: The development of the research questions, search strategy, and search protocol was started on September 20, 2022. The database searches and the importation of the identified records into Covidence were performed on October 7, 2022. As of September 2023, the title and abstract screening was ongoing. The target completion time of this systematic review is April 2024. Conclusions: Without effective interventions to manage GWG, the potential to improve maternal and child health through optimal GWG remains unrealized in LMICs. This systematic review will inform the design and implementation of antenatal interventions to prevent inadequate and excessive GWG in resource-limited settings. Trial Registration: PROSPERO (International Prospective Register of Systematic Reviews) CRD42022366354; https://www.crd.york.ac.uk/prospero/display\_record.php?RecordID=366354 International Registered Report Identifier (IRRID): PRR1-10.2196/48234 ", doi="10.2196/48234", url="https://www.researchprotocols.org/2023/1/e48234", url="http://www.ncbi.nlm.nih.gov/pubmed/37938874" } @Article{info:doi/10.2196/45715, author="Kaburi, Benduri Basil and Wyss, Kaspar and Kenu, Ernest and Asiedu-Bekoe, Franklin and Hauri, M. Anja and Laryea, Odai Dennis and Klett-Tammen, J. Carolina and Leone, Fr{\'e}d{\'e}ric and Walter, Christin and Krause, G{\'e}rard", title="Facilitators and Barriers in the Implementation of a Digital Surveillance and Outbreak Response System in Ghana Before and During the COVID-19 Pandemic: Qualitative Analysis of Stakeholder Interviews", journal="JMIR Form Res", year="2023", month="Oct", day="20", volume="7", pages="e45715", keywords="implementation", keywords="Surveillance Outbreak Response Management and Analysis System", keywords="SORMAS", keywords="barriers", keywords="facilitators", keywords="digital disease surveillance", keywords="outbreak response", keywords="COVID-19", keywords="pandemic", keywords="Ghana", keywords="mobile phone", abstract="Background: In the past 2 decades, many countries have recognized the use of electronic systems for disease surveillance and outbreak response as an important strategy for disease control and prevention. In low- and middle-income countries, the adoption of these electronic systems remains a priority and has attracted the support of global health players. However, the successful implementation and institutionalization of electronic systems in low- and middle-income countries have been challenged by the local capacity to absorb technologies, decisiveness and strength of leadership, implementation costs, workforce attitudes toward innovation, and organizational factors. In November 2019, Ghana piloted the Surveillance Outbreak Response Management and Analysis System (SORMAS) for routine surveillance and subsequently used it for the national COVID-19 response. Objective: This study aims to identify the facilitators of and barriers to the sustainable implementation and operation of SORMAS in Ghana. Methods: Between November 2021 and March 2022, we conducted a qualitative study among 22 resource persons representing different stakeholders involved in the implementation of SORMAS in Ghana. We interviewed study participants via telephone using in-depth interview guides developed consistent with the model of diffusion of innovations in health service organizations. We transcribed the interviews verbatim and performed independent validation of transcripts and pseudonymization. We performed deductive coding using 7 a priori categories: innovation, adopting health system, adoption and assimilation, diffusion and dissemination, outer context, institutionalization, and linkages among the aspects of implementation. We used MAXQDA Analytics Pro for transcription, coding, and analysis. Results: The facilitators of SORMAS implementation included its coherent design consistent with the Integrated Disease Surveillance and Response system, adaptability to evolving local needs, relative advantages for task performance (eg, real-time reporting, generation of case-base data, improved data quality, mobile offline capability, and integration of laboratory procedures), intrinsic motivation of users, and a smartphone-savvy workforce. Other facilitators were its alignment with health system goals, dedicated national leadership, political endorsement, availability of in-country IT capacities, and financial and technical support from inventors and international development partners. The main barriers were unstable technical interoperability between SORMAS and existing health information systems, reliance on a private IT company for data hosting, unreliable internet connectivity, unstable national power supply, inadequate numbers and poor quality of data collection devices, and substantial dependence on external funding. Conclusions: The facilitators of and barriers to SORMAS implementation are multiple and interdependent. Important success conditions for implementation include enhanced scope and efficiency of task performance, strong technical and political stewardship, and a self-motivated workforce. Inadequate funding, limited IT infrastructure, and lack of software development expertise are mutually reinforcing barriers to implementation and progress to country ownership. Some barriers are external, relate to the overall national infrastructural development, and are not amenable even to unlimited project funding. ", doi="10.2196/45715", url="https://formative.jmir.org/2023/1/e45715", url="http://www.ncbi.nlm.nih.gov/pubmed/37862105" } @Article{info:doi/10.2196/48256, author="Bediang, Georges", title="Implementing Clinical Information Systems in Sub-Saharan Africa: Report and Lessons Learned From the MatLook Project in Cameroon", journal="JMIR Med Inform", year="2023", month="Oct", day="18", volume="11", pages="e48256", keywords="implementation report", keywords="challenges", keywords="success factors", keywords="Sub-Saharan Africa", keywords="Cameroon", keywords="healthcare", keywords="health care", keywords="clinical information", keywords="information management", keywords="clinical information systems", keywords="hospital information systems", keywords="data governance", abstract="Background: Yaound{\'e} Central Hospital (YCH), located in the capital of Cameroon, is one of the leading referral hospitals in Cameroon. The hospital has several departments, including the Department of Gynecology-Obstetrics (hereinafter referred to as ``the Maternity''). This clinical department has faced numerous problems with clinical information management, including the lack of high-quality and reliable clinical information, lack of access to this information, and poor use of this information. Objective: We aim to improve the management of clinical information generated at the Maternity at YCH and to describe the challenges, success factors, and lessons learned during its implementation and use. Methods: Based on an open-source hospital information system (HIS), this intervention implemented a clinical information system (CIS) at the Maternity at YCH and was carried out using the HERMES model---the first part aimed to cover outpatient consultations, billing, and cash management of the Maternity. Geneva University Hospitals supported this project, and several outcomes were measured at the end. The following outcomes were assessed: project management, technical and organizational aspects, leadership, change management, user training, and system use. Implementation (Results): The first part of the project was completed, and the CIS was deployed in the Maternity at YCH. The main technical activities were adapting the open-source HIS to manage outpatient consultations and develop integrated billing and cash management software. In addition to technical aspects, we implemented several other activities. They consisted of the implementation of appropriate project governance or management, improvement of the organizational processes at the Maternity, promotion of the local digital health leadership and performance of change management, and implementation of the training and support of users. Despite barriers encountered during the project, the 6-month evaluation showed that the CIS was effectively used during the first 6 months. Conclusions: Implementation of the HIS or CIS is feasible in a resource-limited setting such as Cameroon. The CIS was implemented based on good practices at the Maternity at YCH. This project had successes but also many challenges. Beyond project management and technical and financial aspects, the other main problems of implementing health information systems or HISs in Africa lie in digital health leadership, governance, and change management. This digital health leadership, governance, and change management should prioritize data as a tool for improving productivity and managing health institutions, and promote a data culture among health professionals to support a change in mindset and the acquisition of information management skills. Moreover, in countries with a highly centralized political system like ours, a high-level strategic and political anchor for such projects is often necessary to guarantee their success. ", doi="10.2196/48256", url="https://medinform.jmir.org/2023/1/e48256", url="http://www.ncbi.nlm.nih.gov/pubmed/37851502" } @Article{info:doi/10.2196/48097, author="Layer, Erica and Slim, Salim and Mussa, Issa and Al-Mafazy, Abdul-Wahid and Besana, R. Giulia V. and Msellem, Mwinyi and Fulcher, Isabel and Hornung, Heiko and Lampariello, Riccardo", title="The Journey of Zanzibar's Digitally Enabled Community Health Program to National Scale: Implementation Report", journal="JMIR Med Inform", year="2023", month="Oct", day="9", volume="11", pages="e48097", keywords="Zanzibar", keywords="digital health", keywords="community health", keywords="health systems strengthening", keywords="maternal health", keywords="child health", keywords="data for decision-making", keywords="implementation science", keywords="health systems", keywords="healthcare infrastructure", keywords="health care", keywords="implementation report", abstract="Background: While high-quality primary health care services can meet 80\%-90\% of health needs over a person's lifetime, this potential is severely hindered in many low-resource countries by a constrained health care system. There is a growing consensus that effectively designed, resourced, and managed community health worker programs are a critical component of a well-functioning primary health system, and digital technology is recognized as an important enabler of health systems transformation. Objective: In this implementation report, we describe the design and rollout of Zanzibar's national, digitally enabled community health program--Jamii ni Afya. Methods: Since 2010, D-tree International has partnered with the Ministry of Health Zanzibar to pilot and generate evidence for a digitally enabled community health program, which was formally adopted and scaled nationally by the government in 2018. Community health workers use a mobile app that guides service delivery and data collection for home-based health services, resulting in comprehensive service delivery, access to real-time data, efficient management of resources, and continuous quality improvement. Results: The Zanzibar government has documented increases in the delivery of health facilities among pregnant women and reductions in stunting among children younger than 5 years since the community health program has scaled. Key success factors included starting with the health challenge and local context rather than the technology, usage of data for decision-making, and extensive collaboration with local and global partners and funders. Lessons learned include the significant time it takes to scale and institutionalize a digital health systems innovation due to the time to generate evidence, change opinions, and build capacity. Conclusions: Jamii ni Afya represents one of the world's first examples of a nationally scaled digitally enabled community health program. This implementation report outlines key successes and lessons learned, which may have applicability to other governments and partners working to sustainably strengthen primary health systems. ", doi="10.2196/48097", url="https://medinform.jmir.org/2023/1/e48097", url="http://www.ncbi.nlm.nih.gov/pubmed/37812488" } @Article{info:doi/10.2196/45250, author="Thomas, Verghese and Kalidindi, Bharat and Waghmare, Abijeet and Bhatia, Abhishek and Raj, Tony and Balsari, Satchit", title="The Vinyasa Tool for mHealth Solutions: Supporting Human-Centered Design in Nascent Digital Health Ecosystems", journal="JMIR Form Res", year="2023", month="Oct", day="2", volume="7", pages="e45250", keywords="community health workers", keywords="digital health", keywords="focus group discussions", keywords="health care workers", keywords="human centered design", keywords="key informant interviews", keywords="LMICs", keywords="low- and middle-income countries", keywords="mHealth", keywords="mobile health", keywords="qualitative research", abstract="Background: mHealth (mobile health) systems have been deployed widely in low- and middle-income countries (LMICs) for health system strengthening, requiring considerable resource allocation. However, most solutions have not achieved scale or sustainability. Poor usability and failure to address perceived needs are among the principal reasons mHealth systems fail to achieve acceptance and adoption by health care workers. A human-centered design approach to improving mHealth system use requires an exploration of users' perceptions of mHealth systems, including the environmental, user-related, and technological aspects of a system. At present, there is a dearth of contextually intelligent tools available to mHealth developers that can guide such exploration before full-scale development and deployment. Objective: To develop a tool to aid optimization of mHealth solutions in LMICs to facilitate human-centered design and, consequently, successful adoption. Methods: We collated findings and themes from key qualitative studies on mHealth deployment in LMICs. We then used the Informatics Stack framework by Lehmann to label, sort, and collate findings and themes into a list of questions that explore the environment, users, artifacts, information governance, and interoperability of mHealth systems deployed in LMICs. Results: We developed the Vinyasa Tool to aid qualitative research about the need and usability of mHealth solutions in LMICs. The tool is a guide for focus group discussions and key informant interviews with community-based health care workers and primary care medical personnel who use or are expected to use proposed mHealth solutions. The tool consists of 71 questions organized in 11 sections that unpack and explore multiple aspects of mHealth systems from the perspectives of their users. These include the wider world and organization in which an mHealth solution is deployed; the roles, functions, workflow, and adoption behavior of a system's users; the security, privacy, and interoperability afforded by a system; and the artifacts of an information system---the data, information, knowledge, algorithms, and technology that constitute the system. The tool can be deployed in whole or in part, depending on the context of the study. Conclusions: The Vinyasa Tool is the first such comprehensive qualitative research instrument incorporating questions contextualized to the LMIC setting. We expect it to find wide application among mHealth developers, health system administrators, and researchers developing and deploying mHealth tools for use by patients, providers, and administrators. The tool is expected to guide users toward human-centered design with the goal of improving relevance, usability, and, therefore, adoption. ", doi="10.2196/45250", url="https://formative.jmir.org/2023/1/e45250", url="http://www.ncbi.nlm.nih.gov/pubmed/37607881" } @Article{info:doi/10.2196/45224, author="O'Brien, Niki and Li, Edmond and Chaibva, N. Cynthia and Gomez Bravo, Raquel and Kovacevic, Lana and Kwame Ayisi-Boateng, Nana and Lounsbury, Olivia and Nwabufo, F. Ngnedjou Francoise and Senkyire, Kumi Ephraim and Serafini, Alice and Surafel Abay, Eleleta and van de Vijver, Steven and Wanjala, Mercy and Wangari, Marie-Claire and Moosa, Shabir and Neves, Luisa Ana", title="Strengths, Weaknesses, Opportunities, and Threats Analysis of the Use of Digital Health Technologies in Primary Health Care in the Sub-Saharan African Region: Qualitative Study", journal="J Med Internet Res", year="2023", month="Sep", day="7", volume="25", pages="e45224", keywords="digital health", keywords="digital health technology", keywords="telemedicine", keywords="remote care", keywords="primary care", keywords="primary health carel PHC", keywords="COVID-19", keywords="global health", keywords="sub-Saharan Africa", keywords="eHealth", abstract="Background: Digital health technologies (DHTs) have become increasingly commonplace as a means of delivering primary care. While DHTs have been postulated to reduce inequalities, increase access, and strengthen health systems, how the implementation of DHTs has been realized in the sub-Saharan Africa (SSA) health care environment remains inadequately explored. Objective: This study aims to capture the multidisciplinary experiences of primary care professionals using DHTs to explore the strengths and weaknesses, as well as opportunities and threats, regarding the implementation and use of DHTs in SSA primary care settings. Methods: A combination of qualitative approaches was adopted (ie, focus groups and semistructured interviews). Participants were recruited through the African Forum for Primary Care and researchers' contact networks using convenience sampling and included if having experience with digital technologies in primary health care in SSA. Focus and interviews were conducted, respectively, in November 2021 and January-March 2022. Topic guides were used to cover relevant topics in the interviews, using the strengths, weaknesses, opportunities, and threats framework. Transcripts were compiled verbatim and systematically reviewed by 2 independent reviewers using framework analysis to identify emerging themes. The COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist was used to ensure the study met the recommended standards of qualitative data reporting. Results: A total of 33 participants participated in the study (n=13 and n=23 in the interviews and in focus groups, respectively; n=3 participants participated in both). The strengths of using DHTs ranged from improving access to care, supporting the continuity of care, and increasing care satisfaction and trust to greater collaboration, enabling safer decision-making, and hastening progress toward universal health coverage. Weaknesses included poor digital literacy, health inequalities, lack of human resources, inadequate training, lack of basic infrastructure and equipment, and poor coordination when implementing DHTs. DHTs were perceived as an opportunity to improve patient digital literacy, increase equity, promote more patient-centric design in upcoming DHTs, streamline expenditure, and provide a means to learn international best practices. Threats identified include the lack of buy-in from both patients and providers, insufficient human resources and local capacity, inadequate governmental support, overly restrictive regulations, and a lack of focus on cybersecurity and data protection. Conclusions: The research highlights the complex challenges of implementing DHTs in the SSA context as a fast-moving health delivery modality, as well as the need for multistakeholder involvement. Future research should explore the nuances of these findings across different technologies and settings in the SSA region and implications on health and health care equity, capitalizing on mixed-methods research, including the use of real-world quantitative data to understand patient health needs. The promise of digital health will only be realized when informed by studies that incorporate patient perspective at every stage of the research cycle. ", doi="10.2196/45224", url="https://www.jmir.org/2023/1/e45224", url="http://www.ncbi.nlm.nih.gov/pubmed/37676721" } @Article{info:doi/10.2196/44784, author="Harahap, Clydea Nabila and Handayani, Wuri Putu and Hidayanto, Nizar Achmad", title="Integrated Personal Health Record in Indonesia: Design Science Research Study", journal="JMIR Med Inform", year="2023", month="Mar", day="14", volume="11", pages="e44784", keywords="personal health record", keywords="integrated", keywords="Indonesia", keywords="design science", keywords="mobile phone", abstract="Background: Personal health records (PHRs) are consumer-centric tools designed to facilitate the tracking, management, and sharing of personal health information. PHR research has mainly been conducted in high-income countries rather than in low- and middle-income countries. Moreover, previous studies that proposed PHR design in low- and middle-income countries did not describe integration with other systems, or there was no stakeholder involvement in exploring PHR requirements. Objective: This study developed an integrated PHR architecture and prototype in Indonesia using design science research. We conducted the research in Indonesia, a low- to middle-income country with the largest population in Southeast Asia and a tiered health system. Methods: This study followed the design science research guidelines. The requirements were identified through interviews with 37 respondents from health organizations and a questionnaire with 1012 patients. Afterward, the proposed architecture and prototype were evaluated via interviews with 6 IT or eHealth experts. Results: The architecture design refers to The Open Group Architecture Framework version 9.2 and comprises 5 components: architecture vision, business architecture, application architecture, data architecture, and technology architecture. We developed a high-fidelity prototype for patients and physicians. In the evaluation, improvements were made to add the stakeholders and the required functionality to the PHR and add the necessary information to the functions that were developed in the prototype. Conclusions: We used design science to illustrate PHR integration in Indonesia, which involves related stakeholders in requirement gathering and evaluation. We developed architecture and application prototypes based on health systems in Indonesia, which comprise routine health services, including disease treatment and health examinations, as well as promotive and preventive health efforts. ", doi="10.2196/44784", url="https://medinform.jmir.org/2023/1/e44784", url="http://www.ncbi.nlm.nih.gov/pubmed/36917168" } @Article{info:doi/10.2196/43772, author="Tang, Weiming and Xie, Yewei and Xiong, Mingzhou and Wu, Dan and Ong, J. Jason and Wi, Elvira Teodora and Yang, Bin and Tucker, D. Joseph and Wang, Cheng", title="A Pay-It-Forward Approach to Improve Chlamydia and Gonorrhea Testing Uptake Among Female Sex Workers in China: Venue-Based Superiority Cluster Randomized Controlled Trial", journal="JMIR Public Health Surveill", year="2023", month="Mar", day="2", volume="9", pages="e43772", keywords="pay-it-forward", keywords="chlamydia", keywords="gonorrhea", keywords="testing", keywords="female sex workers", keywords="women", keywords="China", keywords="cost", keywords="stigma", keywords="prevention", keywords="community", keywords="HIV", keywords="care", keywords="STD", keywords="implementation", keywords="research", abstract="Background: Regular chlamydia and gonorrhea testing are essential for key populations, such as female sex workers (FSWs). However, testing cost, stigma, and lack of access prevent FSWs in low- and middle-income countries from receiving chlamydia and gonorrhea testing. A social innovation to address these problems is ``pay it forward,'' where an individual receives a gift (free testing) and then asks whether they would like to give a gift to another person in the community. Objective: This cluster randomized controlled trial examined the effectiveness and cost of the pay-it-forward strategy in increasing access to chlamydia and gonorrhea testing among FSWs in China. Methods: This trial integrated a pay-it-forward approach into a community-based HIV outreach service. FSWs (aged 18 years or older) were invited by an outreach team from 4 Chinese cities (clusters) to receive free HIV testing. The 4 clusters were randomized into 2 study arms in a 1:1 ratio: a pay-it-forward arm (offered chlamydia and gonorrhea testing as a gift) and a standard-of-care arm (out-of-pocket cost for testing: US \$11). The primary outcome was chlamydia and gonorrhea test uptake, as ascertained by administrative records. We conducted an economic evaluation using a microcosting approach from a health provider perspective, reporting our results in US dollars (at 2021 exchange rates). Results: Overall, 480 FSWs were recruited from 4 cities (120 per city). Most FSWs were aged ?30 years (313/480, 65.2\%), were married (283/480, 59\%), had an annual income