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

Wearables and MHealth Viewpoints (80) Evaluation and Research Methodology for mHealth (210)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17577, first published .
Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes

Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes

Evaluating Patient-Centered Mobile Health Technologies: Definitions, Methodologies, and Outcomes

Authors of this article:

Courtenay Bruce1 Author Orcid Image ;   Patricia Harrison1 Author Orcid Image ;   Charlie Giammattei2 Author Orcid Image ;   Shetal-Nicholas Desai3, 4 Author Orcid Image ;   Joshua R Sol3, 4 Author Orcid Image ;   Stephen Jones5, 6 Author Orcid Image ;   Roberta Schwartz3 Author Orcid Image
Article Authors Cited by (22) Tweetations (6) Metrics

Journals

  1. Seiterö A, Thomas K, Löf M, Müssener U. Exploring the Black Box of an mHealth Intervention (LIFE4YOUth): A Qualitative Process and Outcome Evaluation of End-User Engagement. International Journal of Environmental Research and Public Health 2022;19(21):14022 View
  2. Paalimäki-Paakki K, Virtanen M, Henner A, Nieminen M, Kääriäinen M. Effectiveness of Digital Counseling Environments on Anxiety, Depression, and Adherence to Treatment Among Patients Who Are Chronically Ill: Systematic Review. Journal of Medical Internet Research 2022;24(1):e30077 View
  3. Panda N, Perez N, Tsangaris E, Edelen M, Pusic A, Zheng F, Haynes A. Enhancing Patient-Centered Surgical Care With Mobile Health Technology. Journal of Surgical Research 2022;274:178 View
  4. Mbwogge M, Astbury N, Nkumbe H, Bunce C, Bascaran C. Waiting Time and Patient Satisfaction in a Subspecialty Eye Hospital Using a Mobile Data Collection Kit: Pre-Post Quality Improvement Intervention. JMIRx Med 2022;3(3):e34263 View
  5. Chatterjee A, Prinz A, Gerdes M, Martinez S, Pahari N, Meena Y. ProHealth eCoach: user-centered design and development of an eCoach app to promote healthy lifestyle with personalized activity recommendations. BMC Health Services Research 2022;22(1) View
  6. Rochat J, Ehrler F, Siebert J, Ricci A, Garretas Ruiz V, Lovis C. Usability Testing of a Patient-Centered Mobile Health App for Supporting and Guiding the Pediatric Emergency Department Patient Journey: Mixed Methods Study. JMIR Pediatrics and Parenting 2022;5(1):e25540 View
  7. 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
  8. Hamberger M, Ikonomi N, Schwab J, Werle S, Fürstberger A, Kestler A, Holderried M, Kaisers U, Steger F, Kestler H. Interaction Empowerment in Mobile Health: Concepts, Challenges, and Perspectives. JMIR mHealth and uHealth 2022;10(4):e32696 View
  9. Bagge-Petersen C. Living Ambivalently with Chronic Illness. Medical Anthropology 2023;42(2):191 View
  10. Schwartz R. Rapid Deployment of Technology: Patient and Staff Empowerment at Houston Methodist. Frontiers of Health Services Management 2022;38(3):16 View
  11. Jongen P. Information and Communication Technology Medicine: Integrative Specialty for the Future of Medicine. Interactive Journal of Medical Research 2023;12:e42831 View
  12. Figueroa C, Sundqvist J, Mathieu S, Farrokhnia N, Nevin D, Andersson S. The opportunities and challenges of women's digital health: A research agenda. Health Policy and Technology 2023;12(4):100814 View
  13. Silberman J, Wicks P, Patel S, Sarlati S, Park S, Korolev I, Carl J, Owusu J, Mishra V, Kaur M, Willey V, Sucala M, Campellone T, Geoghegan C, Rodriguez-Chavez I, Vandendriessche B, Goldsack J. Rigorous and rapid evidence assessment in digital health with the evidence DEFINED framework. npj Digital Medicine 2023;6(1) View
  14. Shih H, Xue H, Min H, Wojtusiak J, Chang J. Informing Patient-Provider Engagement for Shared Decision Making Through Mobile Health Applications. Patient Preference and Adherence 2023;Volume 17:3489 View
  15. Vallgårda A. Attuning to care technologies. Human–Computer Interaction 2024:1 View
  16. Zaleski A, Berkowsky R, Craig K, Pescatello L. Comprehensiveness, Accuracy, and Readability of Exercise Recommendations Provided by an AI-Based Chatbot: Mixed Methods Study. JMIR Medical Education 2024;10:e51308 View
  17. Bruce C, Pinn-Kirkland T, Meyers A, Javaluyas E, Osborn J, Kelkar S, Bruchhaus L, McLaury K, Sauceda K, Carr K, Garcia C, Arabie L, Williams T, Vozzella G, Nisar T, Schwartz R, Sasangohar F. Investigating patient engagement associations between a postdischarge texting programme and patient experience, readmission and revisit rates outcomes. BMJ Open 2024;14(3):e079775 View
  18. Ali Sherazi B, Läer S, Hasanbegovic S, Obarcanin E. Evaluating usability of and satisfaction with mHealth app in rural and remote areas—Germany GIZ collaboration in Bosnia-Herzegovina to optimize type 1 diabetes care. Frontiers in Digital Health 2024;6 View
  19. Staehelin D, Dolata M, Stöckli L, Schwabe G. How Patient-Generated Data Enhance Patient-Provider Communication in Chronic Care: Field Study in Design Science Research. JMIR Medical Informatics 2024;12:e57406 View
  20. de Groot P, Wagenaar W, Foolen J, Tchetverikov I, Goekoop-Ruiterman Y, Vis M, Kok M, Coates L, Luime J. Digital biomarkers for psoriatic arthritis: a qualitative focus group study on patient-perceived opportunities and barriers. RMD Open 2024;10(4):e004699 View
  21. Rosa D, Villa G, Marcomini I, Nardin E, Gianfranceschi E, Faini A, Pengo M, Bilo G, Croce A, Manara D, Parati G. Psychometric Properties of the TWente Engagement with Ehealth Technologies Scale (TWEETS) Among Patients with Hypertension in Italy. High Blood Pressure & Cardiovascular Prevention 2024 View

Books/Policy Documents

  1. Ehrler F, Blondon K. Digital Health. View