This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (273) Telehealth and Telemonitoring (1671) Theoretical Frameworks and Concepts (252) Adoption and Change Management of eHealth Systems (712) mHealth for Telemedicine and Homecare (399)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18072, first published .
Understanding Clinicians’ Adoption of Mobile Health Tools: A Qualitative Review of the Most Used Frameworks

Understanding Clinicians’ Adoption of Mobile Health Tools: A Qualitative Review of the Most Used Frameworks

Understanding Clinicians’ Adoption of Mobile Health Tools: A Qualitative Review of the Most Used Frameworks

Authors of this article:

Christine Jacob1, 2 Author Orcid Image ;   Antonio Sanchez-Vazquez3 Author Orcid Image ;   Chris Ivory3 Author Orcid Image
Article Authors Cited by (50) Tweetations (39) Metrics

Journals

  1. Jacob C, Sanchez-Vazquez A, Ivory C. Factors Impacting Clinicians’ Adoption of a Clinical Photo Documentation App and its Implications for Clinical Workflows and Quality of Care: Qualitative Case Study. JMIR mHealth and uHealth 2020;8(9):e20203 View
  2. Cunha B, Rodrigues K, Zaine I, da Silva E, Viel C, Pimentel M. Experience Sampling and Programmed Intervention Method and System for Planning, Authoring, and Deploying Mobile Health Interventions: Design and Case Reports. Journal of Medical Internet Research 2021;23(7):e24278 View
  3. Nadhamuni S, Gupta G, Mullath R, Sridhar S. Leveraging Technology to Enable Effective Preventive Screening of NCDs at Population Scale: Initial Observations. Journal of the Indian Institute of Science 2020;100(4):691 View
  4. Schmalz O, Jacob C, Ammann J, Liss B, Iivanainen S, Kammermann M, Koivunen J, Klein A, Popescu R. Digital Monitoring and Management of Patients With Advanced or Metastatic Non-Small Cell Lung Cancer Treated With Cancer Immunotherapy and Its Impact on Quality of Clinical Care: Interview and Survey Study Among Health Care Professionals and Patients. Journal of Medical Internet Research 2020;22(12):e18655 View
  5. Moura J, Estrela M, Almeida A, Ferraz I, Figueiras A, Roque F, Herdeiro M. A Usability Study of Pharmacists’ Perceptions Toward an Online Course for Respiratory Infections and Antibiotic Use. Procedia Computer Science 2021;181:269 View
  6. Wattanapisit A, Amaek W, Wattanapisit S, Tuangratananon T, Wongsiri S, Pengkaew P. Challenges of Implementing an mHealth Application for Personalized Physical Activity Counselling in Primary Health Care: A Qualitative Study. International Journal of General Medicine 2021;Volume 14:3821 View
  7. Sola J, Cortes M, Perruchoud D, De Marco B, Lobo M, Pellaton C, Wuerzner G, Fisher N, Shah J. Guidance for the Interpretation of Continual Cuffless Blood Pressure Data for the Diagnosis and Management of Hypertension. Frontiers in Medical Technology 2022;4 View
  8. Chi W, Reamer C, Gordon R, Sarswat N, Gupta C, White VanGompel E, Dayiantis J, Morton-Jost M, Ravichandran U, Larimer K, Victorson D, Erwin J, Halasyamani L, Solomonides A, Padman R, Shah N. Continuous Remote Patient Monitoring: Evaluation of the Heart Failure Cascade Soft Launch. Applied Clinical Informatics 2021;12(05):1161 View
  9. Dahlhausen F, Zinner M, Bieske L, Ehlers J, Boehme P, Fehring L. There's an app for that, but nobody's using it: Insights on improving patient access and adherence to digital therapeutics in Germany. DIGITAL HEALTH 2022;8:205520762211046 View
  10. Torp D, Sandbæk A, Prætorius T. The Technology Acceptance of Video Consultations for Type 2 Diabetes Care in General Practice: Cross-sectional Survey of Danish General Practitioners. Journal of Medical Internet Research 2022;24(8):e37223 View
  11. Dahlhausen F, Zinner M, Bieske L, Ehlers J, Boehme P, Fehring L. Physicians’ Attitudes Toward Prescribable mHealth Apps and Implications for Adoption in Germany: Mixed Methods Study. JMIR mHealth and uHealth 2021;9(11):e33012 View
  12. Jacob C, Sezgin E, Sanchez-Vazquez A, Ivory C. Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis. JMIR mHealth and uHealth 2022;10(5):e36284 View
  13. Addotey-Delove M, Scott R, Mars M. Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review. International Journal of Environmental Research and Public Health 2023;20(2):1244 View
  14. Barnett A, Kelly J, Wright C, Campbell K. Technology-supported models of nutrition care: Perspectives of health service providers. DIGITAL HEALTH 2022;8:205520762211046 View
  15. Sumarsono S, Sakkinah I, Permanasari A, Pranggono B. Development of a mobile health infrastructure for non-communicable diseases using design science research method: a case study. Journal of Ambient Intelligence and Humanized Computing 2023;14(9):12563 View
  16. Ramasawmy M, Poole L, Thorlu-Bangura Z, Chauhan A, Murali M, Jagpal P, Bijral M, Prashar J, G-Medhin A, Murray E, Stevenson F, Blandford A, Potts H, Khunti K, Hanif W, Gill P, Sajid M, Patel K, Sood H, Bhala N, Modha S, Mistry M, Patel V, Ali S, Ala A, Banerjee A. Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease–Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review. JMIR Cardio 2022;6(2):e37360 View
  17. Garrett P, White J, Dennis S, Lewandowsky S, Yang C, Okan Y, Perfors A, Little D, Kozyreva A, Lorenz-Spreen P, Kusumi T, Kashima Y. Papers Please - Predictive Factors of National and International Attitudes Toward Immunity and Vaccination Passports: Online Representative Surveys. JMIR Public Health and Surveillance 2022;8(7):e32969 View
  18. Koufaki M, Karamperis K, Vitsa P, Vasileiou K, Patrinos G, Mitropoulou C. Adoption of Pharmacogenomic Testing: A Marketing Perspective. Frontiers in Pharmacology 2021;12 View
  19. Drabarek D, Habgood E, Ackermann D, Hersch J, Janda M, Morton R, Guitera P, Soyer H, Collgros H, Cust A, Saw R, Emery J, Mar V, Dieng M, Azzi A, Lilleyman A, Bell K. Perspectives and Experiences of Patient-Led Melanoma Surveillance Using Digital Technologies From Clinicians Involved in the MEL-SELF Pilot Randomized Controlled Trial: Qualitative Interview Study. JMIR Dermatology 2022;5(4):e40623 View
  20. Al-Rayes S, AlOfi R, Alanezi F, Al-Ansary N, Alshawan D, Almulla S, AlSaif A, Alnujaidi H, Alanezi N, Alakrawi Z, AlMubarak S, Alnaim N, Saraireh L, Attar R, Aljanoubi H, Saadah A, Alfayez A, Alanzi T. Public awareness and use of health tools provided by the portal of the Ministry of Health of Saudi Arabia. Informatics in Medicine Unlocked 2023;36:101151 View
  21. Addotey-Delove M, Scott R, Mars M. The development of an instrument to predict patients’ adoption of mHealth in the developing world. Informatics in Medicine Unlocked 2022;29:100898 View
  22. Aminoff H, Meijer S. Context and Complexity in Telemedicine Evaluation: Work Domain Analysis in a Surgical Setting. JMIR Perioperative Medicine 2021;4(2):e26580 View
  23. 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
  24. Jacob C, Lindeque J, Klein A, Ivory C, Heuss S, Peter M. Assessing the Quality and Impact of eHealth Tools: Systematic Literature Review and Narrative Synthesis. JMIR Human Factors 2023;10:e45143 View
  25. Ware S, Studts C, Lei F, Bush H, Higgins E, Studts J, Bastos de Carvalho A. Ranked determinants of telemedicine diabetic retinopathy screening performance in the United States primary care safety-net setting: an exploratory CART analysis. BMC Health Services Research 2022;22(1) View
  26. Hjorth-Johansen E, Børøsund E, Martinsen Østen I, Holmstrøm H, Moen A. Acceptability and Initial Adoption of the Heart Observation App for Infants With Congenital Heart Disease: Qualitative Study. JMIR Formative Research 2023;7:e45920 View
  27. Kadhuluri D, Hense S, Kodali P, Thankappan K. How WhatsApp is transforming health communication among frontline health workers: a mixed-method study among midwives in India. Journal of Communication in Healthcare 2023;16(3):268 View
  28. Graf A, Fehring L, Henningsen M, Zinner M. Going digital in Germany: An exploration of physicians’ attitudes towards the introduction of electronic prescriptions – A mixed methods approach. International Journal of Medical Informatics 2023;174:105063 View
  29. Ogundipe A, Sim T, Emmerton L. Development of an evaluation framework for health information communication technology in contemporary pharmacy practice. Exploratory Research in Clinical and Social Pharmacy 2023;9:100252 View
  30. Anthony Jnr B. Examining the adoption of telehealth during public health emergencies based on technology organization environment framework. Journal of Science and Technology Policy Management 2023 View
  31. Smeijers J, Bults M, den Ouden M, Bekhuis R. Apps: eerste keus ‘medicijn’ voor patiënten met diabetes mellitus type 2?. TSG - Tijdschrift voor gezondheidswetenschappen 2023;101(4):178 View
  32. Schroeder T, Seaman K, Nguyen A, Gewald H, Georgiou A. Enablers and inhibitors to the adoption of mHealth apps by patients – A qualitative analysis of German doctors’ perspectives. Patient Education and Counseling 2023;114:107865 View
  33. Ming D, Wong W, Jones K, Antonelli R, Gujral N, Gonzales S, Rogers U, Ratliff W, Shah N, King H. Feasibility of Implementation of a Mobile Digital Personal Health Record to Coordinate Care for Children and Youth With Special Health Care Needs in Primary Care: Protocol for a Mixed Methods Study. JMIR Research Protocols 2023;12:e46847 View
  34. Malik I, Perez A, Toombs E, Schmidt F, Olthuis J, Charlton J, Grassia E, Squier C, Stasiuk K, Bobinski T, Mushquash A. Female youth and mental health service providers' perspectives on the JoyPop™ app: a qualitative study. Frontiers in Digital Health 2023;5 View
  35. Azam M, Bin Naeem S, Kamel Boulos M, Faiola A. Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments. International Journal of Environmental Research and Public Health 2023;20(23):7112 View
  36. Gately M, Trudeau S. An Online Learning Experience Simulating Video Telehealth with Older Adults: Student Perceptions. Journal of Technology in Behavioral Science 2023;9(1):154 View
  37. Gregory M, Cao W, Rahurkar S, Jonnalagadda P, Stock J, Ghazi S, Reid E, Berk A, Hebert C, Li L, Addison D. Exploring the Incorporation of a Novel Cardiotoxicity Mobile Health App Into Care of Patients With Cancer: Qualitative Study of Patient and Provider Perspectives. JMIR Cancer 2023;9:e46481 View
  38. Jacob C, Lindeque J, Müller R, Klein A, Metcalfe T, Connolly S, Koerber F, Maguire R, Denis F, Heuss S, Peter M. A sociotechnical framework to assess patient-facing eHealth tools: results of a modified Delphi process. npj Digital Medicine 2023;6(1) View
  39. Aboye G, Simegn G, Aerts J. 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 of Medical Internet Research 2024;26:e50337 View
  40. 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
  41. Enahora B, Tripicchio G, Kopper R, Dyson O, Labban J, Shriver L, Haldeman L, Rhea C, McGuirt J. Assessment of Interest in a Virtual Avatar-Based Nutrition Education Program Among Youth-Serving Community Partners. Journal of Nutrition Education and Behavior 2024;56(10):719 View
  42. Sze K, Fong Q, De Roza J, Lee E, Tan S. Exploring Physicians’ Perceptions of Digital Health’s Impact on the Patient-Physician Relationship in the Primary Health Care Setting: Qualitative Descriptive Study. Journal of Medical Internet Research 2024;26:e53705 View
  43. Portz J, Moore S, Bull S. Evolutionary Trends in the Adoption, Adaptation, and Abandonment of Mobile Health Technologies: Viewpoint Based on 25 Years of Research. Journal of Medical Internet Research 2024;26:e62790 View
  44. Lurtz J, Sauter T, Jacob C. Factors impacting the adoption and potential reimbursement of a virtual reality tool for pain management in Switzerland: qualitative case study (Preprint). JMIR Human Factors 2024 View
  45. Alhur M, Caamaño-Alegre J, Reyes-Santias F. A public value-based model to understand patients’ adoption of eHealth: Theoretical underpinnings and empirical application. DIGITAL HEALTH 2024;10 View
  46. Tumuhimbise W, Theuring S, Kaggwa F, Atukunda E, Rubaihayo J, Atwine D, Sekandi J, Musiimenta A. Enhancing the implementation and integration of mHealth interventions in resource-limited settings: a scoping review. Implementation Science 2024;19(1) View
  47. Sampene A, Li C, Wiredu J. Unravelling the shift: exploring consumers’ adoption or resistance of E-Pharmacy through behavioural reasoning theory. BMC Public Health 2024;24(1) View
  48. Yang Y, Tavares J, Oliveira T. A New Research Model for Artificial Intelligence–Based Well-Being Chatbot Engagement: Survey Study. JMIR Human Factors 2024;11:e59908 View

Books/Policy Documents

  1. Martin W. Principles and Practice of Sleep Telemedicine. View