Understanding Determinants of Health Care Professionals’ Perspectives on Mobile Health Continuance and Performance

Journals

1. Binyamin S, Zafar B. Proposing a mobile apps acceptance model for users in the health area: A systematic literature review and meta-analysis. Health Informatics Journal 2021;27(1) View
2. Teferi G, Tilahun B, Guadie H, Amare A. Smartphone Medical App Use and Associated Factors Among Physicians at Referral Hospitals in Amhara Region, North Ethiopia, in 2019: Cross-sectional Study. JMIR mHealth and uHealth 2021;9(3):e19310 View
3. Adil A, Usman A, Jalil A. Qualitative analysis of digital health literacy among university students in Pakistan. Journal of Human Behavior in the Social Environment 2021;31(6):771 View
4. Rowen A, Grabowski M, Rancy J. Moving and improving in safety-critical systems: Impacts of head-mounted displays on operator mobility, performance, and situation awareness. International Journal of Human-Computer Studies 2021;150:102606 View
5. Wang T, Fan L, Zheng X, Wang W, Liang J, An K, Ju M, Lei J. The Impact of Gamification-Induced Users' Feelings on the Continued Use of mHealth Apps: A Structural Equation Model With the Self-Determination Theory Approach. Journal of Medical Internet Research 2021;23(8):e24546 View
6. Chauhan S, Kumar P, Jaiswal M. A meta-analysis of M-commerce continuance intention: moderating impact of culture and user types. Behaviour & Information Technology 2022;41(13):2905 View
7. Siebert J, Gosetto L, Sauvage M, Bloudeau L, Suppan L, Rodieux F, Haddad K, Hugon F, Gervaix A, Lovis C, Combescure C, Manzano S, Ehrler F. Usability Testing and Technology Acceptance of an mHealth App at the Point of Care During Simulated Pediatric In- and Out-of-Hospital Cardiopulmonary Resuscitations: Study Nested Within 2 Multicenter Randomized Controlled Trials. JMIR Human Factors 2022;9(1):e35399 View
8. Meidani Z, Atoof F, Mobarak Z, Nabovati E, Daneshvar Kakhki R, Kouchaki E, Fakharian E, Nickfarjam A, Holl F. Development of clinical-guideline-based mobile application and its effect on head CT scan utilization in neurology and neurosurgery departments. BMC Medical Informatics and Decision Making 2022;22(1) View
9. Matos D, Torres M, da Silva L, dos Santos C, de Oliveira F, de Araújo M, de Oliveira Serra M. Hansenapp: Development of a mobile application to assist primary healthcare providers to control leprosy. Tropical Medicine & International Health 2022;27(8):719 View
10. Chen R, Hsiao J. Health Professionals’ Perspectives on Electronic Medical Record Infusion and Individual Performance: Model Development and Questionnaire Survey Study. JMIR Medical Informatics 2021;9(11):e32180 View
11. Wang T, Wang W, Liang J, Nuo M, Wen Q, Wei W, Han H, Lei J. Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis. npj Digital Medicine 2022;5(1) View
12. Biersteker T, Hilt A, van der Velde E, Schalij M, Treskes R. Real-World Experience of mHealth Implementation in Clinical Practice (the Box): Design and Usability Study. JMIR Cardio 2021;5(2):e26072 View
13. Popescu C, EL-Chaarani H, EL-Abiad Z, Gigauri I. Implementation of Health Information Systems to Improve Patient Identification. International Journal of Environmental Research and Public Health 2022;19(22):15236 View
14. Jiang Y, Lau A. Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19. International Journal of Environmental Research and Public Health 2023;20(5):3907 View
15. Liu H, Liu R, Liu Z, Han X, Wang K, Yang L, Yang F. A Data Management Framework for Nurses Using E-Health as a Service (eHaaS). International Journal of Data Warehousing and Mining 2023;19(4):1 View
16. Gu Y, Guan Y, Meng Z. Health Providers’ Perceptions and Experiences of Using mHealth for Chronic Noncommunicable Diseases: Qualitative Systematic Review and Meta-Synthesis. Journal of Medical Internet Research 2023;25:e45437 View
17. Jiang S, Xiong M, Rao X, Liang J, Zhu X, Fu H, Chen J, Wang C. Medical Personnel Behavior Preferences for Providing mHealth Service in China: A Discrete Choice Experiment. Risk Management and Healthcare Policy 2023;Volume 16:2405 View
18. Paatela S, Kyytsönen M, Saranto K, Kinnunen U, Vehko T. Experiences of Electronic Health Records’ and Client Information Systems’ Use on a Mobile Device and Factors Associated With Work Time Savings Among Practical Nurses: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e46954 View
19. Nabelsi V, Lévesque-Chouinard A. Successful Electronic Consultation Service Initiative in Quebec, Canada With Primary Care Physicians’ and Specialists’ Experiences on Acceptance and Use of Technological Innovation: Cross-Sectional Exploratory Study. JMIR Formative Research 2024;8:e52921 View
20. Alrashed F, Ahmad T, Almurdi M, Alderaa A, Alhammad S, Serajuddin M, Alsubiheen A. Incorporating Technology Adoption in Medical Education: A Qualitative Study of Medical Students’ Perspectives. Advances in Medical Education and Practice 2024;Volume 15:615 View
21. Mirabootalebi N, Meidani Z, Akbari H, Rangraz Jeddi F, Tagharrobi Z, Swoboda W, Holl F. Design and Psychometric Evaluation of Nurses’ Mobile Health Device Acceptance Scale (NMHDA-Scale): Application of the Expectation-Confirmation Theory. JMIR Human Factors 2024;11:e55324 View
22. Wu T, Fan B, Cai X, Li R, Wang Q, Deng Z. Community health workers’ continuance of mobile health applications: An extended expectation confirmation model. Information & Management 2024;61(6):104008 View