Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36284, first published .
Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis

Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis

Sociotechnical Factors Affecting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis

Journals

  1. Jacob C, Bourke S, Heuss S. From Testers to Cocreators—the Value of and Approaches to Successful Patient Engagement in the Development of eHealth Solutions: Qualitative Expert Interview Study. JMIR Human Factors 2022;9(4):e41481 View
  2. 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
  3. 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
  4. Stern B, Franklin P, Shapiro L, Chaudhary S, Kamal R, Poeran J. Equity-Driven Implementation of Patient-Reported Outcome Measures in Musculoskeletal Care. Journal of Bone and Joint Surgery 2023;105(9):726 View
  5. Lu F, Huang X, Wang X. Willingness to Pay for Mobile Health Live Streaming during the COVID-19 Pandemic: Integrating TPB with Compatibility. Sustainability 2022;14(23):15932 View
  6. Cozad M, Crum M, Tyson H, Fleming P, Stratton J, Kennedy A, Lindley L, Horner R. Mobile Health Apps for Patient-Centered Care: Review of United States Rheumatoid Arthritis Apps for Engagement and Activation. JMIR mHealth and uHealth 2022;10(12):e39881 View
  7. Folkvord F, Peschke L, Ağca Y, van Houten K, Stazi G, Lupiáñez-Villanueva F. Preferences in the Willingness to Download a COVID-19 Contact Tracing App in the Netherlands and Turkey: Experimental Study. JMIR Formative Research 2022;6(7):e37891 View
  8. Häußermann S, Arendsen L, Pritchard J. Smart dry powder inhalers and intelligent adherence management. Advanced Drug Delivery Reviews 2022;191:114580 View
  9. Cengil A, Eksioglu B, Eksioglu S, Eswaran H, Hayes C, Bogulski C. Using data analytics for telehealth utilization: A case study in Arkansas. Journal of Telemedicine and Telecare 2023:1357633X2311600 View
  10. Hui C, McKinstry B, Mclean S, Buchner M, Pinnock H. Assessing the technical feasibility of a flexible, integrated Internet-of-things connected for asthma (C4A) system to support self-management: a mixed method study exploring patients and healthcare professionals perspectives. JAMIA Open 2022;5(4) View
  11. Pettersson L, Johansson S, Demmelmaier I, Gustavsson C. Disability digital divide: survey of accessibility of eHealth services as perceived by people with and without impairment. BMC Public Health 2023;23(1) View
  12. Tonkin E, Yordanova K. Pervasive Healthcare: Privacy and Security in Data Annotation. IEEE Pervasive Computing 2022;21(4):83 View
  13. Sezgin E, Hussain S, Rust S, Huang Y. Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data. JMIR Formative Research 2023;7:e43014 View
  14. Fanta G, Pretorius L. Sociotechnical factors of sustainable digital health systems: A system dynamics model. Health Policy and Technology 2023;12(1):100729 View
  15. Kajubi P, Parkes-Ratanshi R, Twimukye A, Bwanika Naggirinya A, Nabaggala M, Kiragga A, Castelnuovo B, King R. Perceptions and Attitudes Toward an Interactive Voice Response Tool (Call for Life Uganda) Providing Adherence Support and Health Information to HIV-Positive Ugandans: Qualitative Study. JMIR Formative Research 2022;6(12):e36829 View
  16. Kim S, Park J, Chung K. The Relationship Between the Big Five Personality Traits and the Theory of Planned Behavior in Using Mindfulness Mobile Apps: Cross-sectional Survey. Journal of Medical Internet Research 2022;24(11):e39501 View
  17. Green J, Rodriguez J, Keshavan M, Lizano P, Torous J. Implementing Technologies to Enhance Coordinated Specialty Care Framework: Implementation Outcomes From a Development and Usability Study. JMIR Formative Research 2023;7:e46491 View
  18. Alluhaidan A, Chatterjee S, Drew D, Ractham P, Kaewkitipong L. Empowerment Enabled by Information and Communications Technology and Intention to Sustain a Healthy Behavior: Survey of General Users. JMIR Human Factors 2023;10:e47103 View
  19. Mallow J, Davis S, Herczyk J, Jaynes M, Klos B, Canaday M, Theeke L. Feasibility and Acceptability of Community-Based Telehealth to Prevent Long-Term Care Readmission. Telemedicine Reports 2023;4(1):135 View
  20. 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
  21. Sawyer C, McKeon G, Hassan L, Onyweaka H, Martinez Agulleiro L, Guinart D, Torous J, Firth J. Digital health behaviour change interventions in severe mental illness: a systematic review. Psychological Medicine 2023;53(15):6965 View
  22. Chang S, Alon N, Torous J. An exploratory analysis of the effect size of the mobile mental health Application, mindLAMP. DIGITAL HEALTH 2023;9 View
  23. Lane E, D’Arcey J, Kidd S, Onyeaka H, Alon N, Joshi D, Torous J. Digital Phenotyping in Adults with Schizophrenia: A Narrative Review. Current Psychiatry Reports 2023;25(11):699 View
  24. Hanson P, Summers C, Panesar A, Liarakos A, Oduro-Donkor D, Whyte Oshodi D, Hailston L, Randeva H, Menon V, de la Fosse M, Kaura A, Shuttlewood E, Loveder M, Poole D, Barber T. Implementation of a Digital Health Tool for Patients Awaiting Input From a Specialist Weight Management Team: Observational Study. JMIR Human Factors 2023;10:e41256 View
  25. Ning Y, Dong Z, Jia Z, Zhao W, Ding Y, Wang Q, Zhu R, Han S. Development of mobile health-based interventions to promote physical activity in patients with head and neck cancer: a qualitative study. Frontiers in Public Health 2023;11 View
  26. Kaihlanen A, Virtanen L, Kainiemi E, Heponiemi T. Professionals Evaluating Clients’ Suitability for Digital Health and Social Care: Scoping Review of Assessment Instruments. Journal of Medical Internet Research 2023;25:e51450 View
  27. Alanzi T, Almahdi R, Alghanim D, Almusmili L, Saleh A, Alanazi S, Alshobaki K, Attar R, Al Qunais A, Alzahrani H, Alshehri R, Sulail A, Alblwi A, Alanzi N, Alanzi N. Factors Affecting the Adoption of Artificial Intelligence-Enabled Virtual Assistants for Leukemia Self-Management. Cureus 2023 View
  28. Praha N, Sriyuktasuth A, Puwarawuttipanit W, Chuengsaman P, Kusakunniran W. Factors Influencing Telehealth Service Use and Health Outcomes in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e48623 View
  29. 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
  30. 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
  31. Camacho E, Chang S, Currey D, Torous J. The impact of guided versus supportive coaching on mental health app engagement and clinical outcomes. Health Informatics Journal 2023;29(4) View
  32. Shin J, Shields R, Lee J, Skrove Z, Tredinnick R, Ponto K, Fields B. Quality and Accessibility of Home Assessment mHealth Apps for Community Living: Systematic Review. JMIR mHealth and uHealth 2024;12:e52996 View
  33. Hong C, Yan Q, Qi H, Zhang Y, Yu L, Dong L, Wang J. Acceptability, Preferred Medium, and Components of Nurse-Led Cardiac Telerehabilitation: A Cross-Sectional Study. Clinical Nursing Research 2024;33(2-3):146 View
  34. Wanni Arachchige Dona S, Angeles M, Nguyen D, Cooper P, Sweet L, Peeters A. An assessment of ten popular pregnancy applications (Apps) available for women in Australia. International Journal of Medical Informatics 2024;184:105354 View
  35. Dai Y, Min H, Sun L, Wang X, Zhu C, Gu C. Assessing women's and health professionals' views on developing a midwifery‐led mobile health app intervention in pregnancy: A descriptive qualitative study. Journal of Advanced Nursing 2024 View
  36. Liashiedzi G, Eto F, Atinga R, Abor P. Determinants of mobile health (M-Health) application adoption, usage and discontinuity among corporate workers diagnosed with hypertension and diabetes. Journal of Health Organization and Management 2024;38(2):176 View
  37. McCarthy B, Sabharwal J, Chawla S. Old age or cognitive decline? Examining the usability of a mobile health app for older Australians. Informatics for Health and Social Care 2024;49(1):83 View
  38. 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
  39. Galvin K, Tomlin D, Timmer B, McNeice Z, Mount N, Gray K, Short C. A qualitative study of consumer perspectives for a future mobile app to document real-world listening difficulties (Preprint). JMIR Formative Research 2023 View
  40. Yeung N, Lau S, Mak W, Cheng C, Chan E, Siu J, Cheung P. Factors associated with intention to use tele-delivered supportive care among recently diagnosed breast cancer survivors during COVID-19 in Hong Kong: Applying the Unified Theory of Acceptance and Use of Technology (Preprint). JMIR Cancer 2023 View
  41. Schretzlmaier P, Hecker A, Ammenwerth E. Extension of the Unified Theory of Acceptance and Use of Technology 2 model for predicting mHealth acceptance using diabetes as an example: a cross-sectional validation study. BMJ Health & Care Informatics 2022;29(1):e100640 View