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Factors Affecting Clinician Readiness to Adopt Smart Home Technology for Remote Health Monitoring: Systematic Review

Factors Affecting Clinician Readiness to Adopt Smart Home Technology for Remote Health Monitoring: Systematic Review

Clinician adoption of smart home technology requires clinicians to use and understand a new form of evidence. Accordingly, using the findings of this systematic review, we developed a theoretical model to support clinician readiness for and adoption of HAS technology, which will be discussed at the end of the Results section.

Gordana Dermody, Daniel Wadsworth, Melissa Dunham, Courtney Glass, Roschelle Fritz

JMIR Aging 2024;7:e64367

A Digital Mental Health Solution to Improve Social, Emotional, and Learning Skills for Youth: Protocol for an Efficacy and Usability Study

A Digital Mental Health Solution to Improve Social, Emotional, and Learning Skills for Youth: Protocol for an Efficacy and Usability Study

The ever-evolving mobile health (m Health) technology ecosystem and the widespread adoption of mobile devices present a unique opportunity to tackle the aforementioned challenges hindering youth access to quality mental health care. With nearly 6.4 billion smartphone mobile network subscriptions in 2022, and projections to reach 7.7 billion by 2028 [4], m Health stands as a powerful platform for delivering on-demand mental health support and interventions to adolescents.

Kayla V Taylor, Laurent Garchitorena, Carolina Scaramutti-Gladfelter, Mykayla Wyrick, Katherine B Grill, Azizi A Seixas

JMIR Res Protoc 2024;13:e59372

Usability Testing of a National Substance Use Screening Tool Embedded in Electronic Health Records

Usability Testing of a National Substance Use Screening Tool Embedded in Electronic Health Records

Since 2008, there has been an increase in the adoption of EHR technology to meet objectives set forth by the Health Information Technology (IT) for Economic and Clinical Health Act of 2009. The expansion of tools being developed in the EHR is allowing researchers and clinicians to find creative solutions for streamlining screening guidelines and standardizing care management plans [1].

Anne Press, Catherine DeStio, Lauren McCullagh, Sandeep Kapoor, Jeanne Morley, SBIRT NY-II Team, Joseph Conigliaro

JMIR Hum Factors 2016;3(2):e18

Impacts of Telehealth Adoption on the Quality of Care for Individuals With Serious Mental Illness: Retrospective Observational Analysis of Veterans Affairs Administrative Data

Impacts of Telehealth Adoption on the Quality of Care for Individuals With Serious Mental Illness: Retrospective Observational Analysis of Veterans Affairs Administrative Data

This report analyzes national VA administrative data to characterize the impacts of facility-level telehealth adoption on SMI performance metrics, and interaction effects on quality metrics over time as telehealth was routinized. National VA administrative data (from Corporate Data Warehouse) were used to extract all outpatient visits (across specialties) with SMI-specific International Statistical Classification of Diseases, Tenth Revision (ICD-10) codes as primary or secondary diagnostic codes.

Camilla Cummings, Pushpa Raja, Sonya Gabrielian, Neal Doran

JMIR Ment Health 2024;11:e56886

Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study

Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study

For example, Tan et al [40] advocate for accountability as an important factor in increasing the adoption of LLMs in medical education, training, and practice. The next most important factors to consider are ethical issues such as fairness and cost. LLMs have been criticized for bias against gender or ethnic groups [17]. These problems need to be addressed to make LLMs effective in medical education.

Majdi Quttainah, Vinaytosh Mishra, Somayya Madakam, Yotam Lurie, Shlomo Mark

JMIR AI 2024;3:e51834

Dissemination Strategies for mHealth Apps: Systematic Review

Dissemination Strategies for mHealth Apps: Systematic Review

The amount of academic research on m Health apps has also increased, particularly in the areas of usability, effectiveness, adoption, and assessment. However, the highly important aspects of dissemination and marketing are as yet underexamined. App marketing refers to measures aimed at making a mobile app better known and acquiring users (ie, generating app downloads) and, moreover, contacting users and encouraging them to reach a specified goal [8].

Henri Claude Moungui, Hugues Clotaire Nana-Djeunga, Che Frankline Anyiang, Mireia Cano, Jose Antonio Ruiz Postigo, Carme Carrion

JMIR Mhealth Uhealth 2024;12:e50293

Effect of a Structured Multilevel Telehealth Service on Hospital Admissions and Mortality During COVID-19 in a Resource-Limited Region in Brazil: Retrospective Cohort Study

Effect of a Structured Multilevel Telehealth Service on Hospital Admissions and Mortality During COVID-19 in a Resource-Limited Region in Brazil: Retrospective Cohort Study

The COVID-19 pandemic has accelerated the adoption of telehealth in outpatient settings [1]. The demands generated by the pandemic, such as the need for social distancing and home isolation in an effort to reduce virus spread and infection rates, to decrease the pressure on overwhelmed health systems, and to increase health care providers’ safety, determined the scaled-up use of telehealth tools worldwide [2].

Clara Rodrigues Alves Oliveira, Magda Carvalho Pires, Karina Cardoso Meira, Jordana Cristina de Jesus, Isabela Nascimento Borges, Maria Cristina Paixão, Mayara Santos Mendes, Leonardo Bonisson Ribeiro, Milena Soriano Marcolino, Maria Beatriz Moreira Alkmim, Antonio Luiz Pinho Ribeiro

J Med Internet Res 2024;26:e48464

Assumptions, Perceptions, and Experiences of Behavioral Health Providers Using Telemedicine: Qualitative Study

Assumptions, Perceptions, and Experiences of Behavioral Health Providers Using Telemedicine: Qualitative Study

In the wake of the pandemic, federal and state governing entities, including Centers for Medicare and Medicaid (CMS), relaxed stringent regulatory requirements to facilitate the adoption of telemedicine and maintain continuity of care. Policy and regulatory changes included lessor restrictions on technological devices (eg, the need to be Health Insurance Portability and Accountability Act [HIPAA] compliant) and the geographic location of the patient and provider at the time of the visit.

Marcy Ainslie, Marguerite Corvini, Jennifer Chadbourne

JMIR Form Res 2023;7:e48232

Impact of Telemedicine Modality on Quality Metrics in Diverse Settings: Implementation Science–Informed Retrospective Cohort Study

Impact of Telemedicine Modality on Quality Metrics in Diverse Settings: Implementation Science–Informed Retrospective Cohort Study

BP: blood pressure; Hb A1c: hemoglobin A1c; PHQ-2: Patient Health Questionnaire-2; RE-AIM: Reach, Effectiveness, Adoption, Implementation, and Maintenance; SES: socioeconomic status. Outcomes were informed by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework [16]. We assessed reach (demographic differences by modality) and adoption (telemedicine uptake at the clinic, provider, and patient levels).

Danielle Rome, Alyssa Sales, Talea Cornelius, Sujata Malhotra, Jessica Singer, Siqin Ye, Nathalie Moise

J Med Internet Res 2023;25:e47670

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