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

Use and User Demographics of mHealth (344) Mobile Health (mhealth) (2982) Adoption and Change Management of eHealth Systems (731)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17704, first published .
Barriers and Facilitators to the Adoption of Mobile Health Among Health Care Professionals From the United Kingdom: Discrete Choice Experiment

Barriers and Facilitators to the Adoption of Mobile Health Among Health Care Professionals From the United Kingdom: Discrete Choice Experiment

Barriers and Facilitators to the Adoption of Mobile Health Among Health Care Professionals From the United Kingdom: Discrete Choice Experiment

Authors of this article:

Simon Leigh1 Author Orcid Image ;   Liz Ashall-Payne1 Author Orcid Image ;   Tim Andrews1 Author Orcid Image
Article Authors Cited by (39) Tweetations (24) Metrics

Journals

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  4. Nguyen L, Tran P, Dam T, Forse R, Codlin A, Huynh H, Dong T, Nguyen G, Truong V, Dang H, Nguyen T, Nguyen H, Nguyen N, Khan A, Creswell J, Vo L, Schwartzman K. Assessing private provider perceptions and the acceptability of video observed treatment technology for tuberculosis treatment adherence in three cities across Viet Nam. PLOS ONE 2021;16(5):e0250644 View
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  6. Butler S, Sculley D, Santos D, Fellas A, Gironès X, Singh-Grewal D, Coda A. Effectiveness of eHealth and mHealth Interventions Supporting Children and Young People Living With Juvenile Idiopathic Arthritis: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2022;24(2):e30457 View
  7. Stoumpos A, Kitsios F, Talias M. Digital Transformation in Healthcare: Technology Acceptance and Its Applications. International Journal of Environmental Research and Public Health 2023;20(4):3407 View
  8. Tromp J, Jindal D, Redfern J, Bhatt A, Séverin T, Banerjee A, Ge J, Itchhaporia D, Jaarsma T, Lanas F, Lopez-Jimenez F, Mohamed A, Perel P, Perez G, Pinto F, Vedanthan R, Verstrael A, Yeo K, Zulfiya K, Prabhakaran D, Lam C, Cowie M. World Heart Federation Roadmap for Digital Health in Cardiology. Global Heart 2022;17(1) View
  9. Stefanicka-Wojtas D, Kurpas D. eHealth and mHealth in Chronic Diseases—Identification of Barriers, Existing Solutions, and Promoters Based on a Survey of EU Stakeholders Involved in Regions4PerMed (H2020). Journal of Personalized Medicine 2022;12(3):467 View
  10. Szinay D, Cameron R, Naughton F, Whitty J, Brown J, Jones A. Understanding Uptake of Digital Health Products: Methodology Tutorial for a Discrete Choice Experiment Using the Bayesian Efficient Design. Journal of Medical Internet Research 2021;23(10):e32365 View
  11. Leigh S, Daly R, Stevens S, Lapajne L, Clayton C, Andrews T, Ashall-Payne L. Web-based internet searches for digital health products in the United Kingdom before and during the COVID-19 pandemic: a time-series analysis using app libraries from the Organisation for the Review of Care and Health Applications (ORCHA). BMJ Open 2021;11(10):e053891 View
  12. Chowdhury S, Stevens S, Wu C, Woodward C, Andrews T, Ashall-Payne L, Leigh S. An age-old problem or an old-age problem? A UK survey of attitudes, historical use and recommendations by healthcare professionals to use healthcare apps. BMC Geriatrics 2023;23(1) View
  13. Alkhaldi O, McMillan B, Maddah N, Ainsworth J. Interventions Aimed at Enhancing Health Care Providers’ Behavior Toward the Prescription of Mobile Health Apps: Systematic Review. JMIR mHealth and uHealth 2023;11:e43561 View
  14. Buhr L, Kaufmann P, Jörß K. Attitudes of Patients With Chronic Heart Failure Toward Digital Device Data for Self-documentation and Research in Germany: Cross-sectional Survey Study. JMIR Cardio 2022;6(2):e34959 View
  15. Houwen T, Vugts M, Lansink K, Theeuwes H, Neequaye N, Beerekamp M, Joosen M, de Jongh M. Developing mHealth to the Context and Valuation of Injured Patients and Professionals in Hospital Trauma Care: Qualitative and Quantitative Formative Evaluations. JMIR Human Factors 2022;9(2):e35342 View
  16. Lee J, Oh Y, Kim M, Cho B, Shin J. Willingness to Use and Pay for Digital Health Care Services According to 4 Scenarios: Results from a National Survey. JMIR mHealth and uHealth 2023;11:e40834 View
  17. Lazarus J, Villota-Rivas M, Jiménez-González C, Santos-Laso A, Iruzubieta P, Arias-Loste M, Rice-Duek L, Leigh S, Kopka C, Turnes J, Calleja J, Crespo J. Physicians' Use of Digital Health Interventions in the Management of Nonalcoholic Fatty Liver Disease. Clinics in Liver Disease 2023;27(2):515 View
  18. Ghosh A, Acar O, Banerjee A, Wiertz C. Moving towards people-centred healthcare systems: Using discrete choice experiments to improve leadership decision making. BMJ Leader 2023;7(4):294 View
  19. 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
  20. Kheirinejad S, Visuri A, Suryanarayana S, Hosio S. Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits. Heliyon 2023;9(6):e16586 View
  21. Fischer A, Mühlbacher A. Patient and Public Acceptance of Digital Technologies in Health Care: Protocol for a Discrete Choice Experiment. JMIR Research Protocols 2023;12:e46056 View
  22. Young K, Xiong T, Pfisterer K, Ng D, Jiao T, Lohani R, Nunn C, Bryant-Lukosius D, Rendon R, Berlin A, Bender J, Brown I, Feifer A, Gotto G, Cafazzo J, Pham Q. A qualitative study on healthcare professional and patient perspectives on nurse-led virtual prostate cancer survivorship care. Communications Medicine 2023;3(1) View
  23. Wynn M, Garwood‐Cross L, Vasilica C, Griffiths M, Heaslip V, Phillips N. Digitizing nursing: A theoretical and holistic exploration to understand the adoption and use of digital technologies by nurses. Journal of Advanced Nursing 2023;79(10):3737 View
  24. Vo L, Allen M, Cunich M, Thillainadesan J, McPhail S, Sharma P, Wallis S, McGowan K, Carter H. Stakeholders’ preferences for the design and delivery of virtual care services: A systematic review of discrete choice experiments. Social Science & Medicine 2024;340:116459 View
  25. Umar N, Hill Z, Schellenberg J, Sambo N, Shuaibu A, Aliyu A, Kulani K, Abdullahi M, Usman A, Mohammed H, Adamu H, Ibrahim M, Mohammed A, Abdulhamid A, Muhammed Z, Alfayo A, Marchant T. Understanding rural women's preferences for telephone call engagement with primary health care providers in Nigeria: a discrete choice experiment. BMJ Global Health 2023;8(12):e013498 View
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  27. Chen D, Su Z, Gu Z. Two cities, two stages in transforming society—a mixed methods study comparing doctors’ adoption of mobile apps for communication with patients in Hangzhou and Yancheng, China. Frontiers in Public Health 2024;12 View
  28. Roy M, Jamwal M, Vasudeva S, Singh M. Physicians behavioural intentions towards AI-based diabetes diagnostic interventions in India. Journal of Public Health 2024 View
  29. Zrubka Z, Champion A, Holtorf A, Di Bidino R, Earla J, Boltyenkov A, Tabata-Kelly M, Asche C, Burrell A. The PICOTS-ComTeC Framework for Defining Digital Health Interventions: An ISPOR Special Interest Group Report. Value in Health 2024;27(4):383 View
  30. Shiyab W, Rolls K, Ferguson C, Halcomb E. Nurses’ Use of mHealth Apps for Chronic Conditions: Cross-Sectional Survey. JMIR Nursing 2024;7:e57668 View
  31. Tozduman B, Sözmen M. Assessing the job preferences of senior medical students for mandatory service: a discrete choice experiment. Primary Health Care Research & Development 2024;25 View
  32. Reid K, Beswick E, Tam J, Symonds A, Lyle D, Newton J, Perry D, Neale J, Chandran S, Pal S. Perceptions of digital technology use for monitoring health in people living with neurological disorders. Journal of the Neurological Sciences 2024;462:123072 View
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Books/Policy Documents

  1. Brink H, Paul F, Packmohr S. Software Business. View
  2. Micklewright T. Digital Health. View