Published on in Vol 16, No 6 (2014): June

What Explains Usage of Mobile Physician-Rating Apps? Results From a Web-Based Questionnaire

What Explains Usage of Mobile Physician-Rating Apps? Results From a Web-Based Questionnaire

What Explains Usage of Mobile Physician-Rating Apps? Results From a Web-Based Questionnaire

Authors of this article:

Sonja Bidmon 1 Author Orcid Image ;   Ralf Terlutter 1 Author Orcid Image ;   Johanna Röttl 1 Author Orcid Image

Journals

  1. Hao H. The Development of Online Doctor Reviews in China: An Analysis of the Largest Online Doctor Review Website in China. Journal of Medical Internet Research 2015;17(6):e134 View
  2. Fallah M, Niakan Kalhori S. Systematic Review of Data Mining Applications in Patient-Centered Mobile-Based Information Systems. Healthcare Informatics Research 2017;23(4):262 View
  3. Roettl J, Bidmon S, Terlutter R. What Predicts Patients’ Willingness to Undergo Online Treatment and Pay for Online Treatment? Results from a Web-Based Survey to Investigate the Changing Patient-Physician Relationship. Journal of Medical Internet Research 2016;18(2):e32 View
  4. Pai R, Alathur S. Determinants of individuals’ intention to use mobile health: insights from India. Transforming Government: People, Process and Policy 2019;13(3/4):306 View
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  6. Bardach N, Hibbard J, Greaves F, Dudley R. Sources of Traffic and Visitors’ Preferences Regarding Online Public Reports of Quality: Web Analytics and Online Survey Results. Journal of Medical Internet Research 2015;17(5):e102 View
  7. Veríssimo J. Usage intensity of mobile medical apps: A tale of two methods. Journal of Business Research 2018;89:442 View
  8. Fox G, Connolly R. Mobile health technology adoption across generations: Narrowing the digital divide. Information Systems Journal 2018;28(6):995 View
  9. Hernández-Perlines F, Araya-Castillo L. Servant Leadership, Innovative Capacity and Performance in Third Sector Entities. Frontiers in Psychology 2020;11 View
  10. Liu C, Zheng Y. The Predictors of Consumer Behavior in Relation to Organic Food in the Context of Food Safety Incidents: Advancing Hyper Attention Theory Within an Stimulus-Organism-Response Model. Frontiers in Psychology 2019;10 View
  11. Bidmon S, Terlutter R. Gender Differences in Searching for Health Information on the Internet and the Virtual Patient-Physician Relationship in Germany: Exploratory Results on How Men and Women Differ and Why. Journal of Medical Internet Research 2015;17(6):e156 View
  12. Lee Y, Shin S, Kim J, Kim J, Seo D, Joo S, Park J, Kim W, Lee J, Bates D. Evaluation of Mobile Health Applications Developed by a Tertiary Hospital as a Tool for Quality Improvement Breakthrough. Healthcare Informatics Research 2015;21(4):299 View
  13. Sotillos-González B, Buiza-Camacho B, Herrera-Usagre M, Escobar-Ubreva Á, Fernández-Bermejo M, Santana-López V, Ferrero-Álvarez-Rementería J. Visión ciudadana sobre la prescripción de aplicaciones móviles de salud y el uso de tecnologías de la información y la comunicación en el entorno sanitario en Andalucía. Journal of Healthcare Quality Research 2018;33(4):225 View
  14. Patel S, Cain R, Neailey K, Hooberman L. General Practitioners’ Concerns About Online Patient Feedback: Findings From a Descriptive Exploratory Qualitative Study in England. Journal of Medical Internet Research 2015;17(12):e276 View
  15. Powell J, Atherton H, Williams V, Mazanderani F, Dudhwala F, Woolgar S, Boylan A, Fleming J, Kirkpatrick S, Martin A, van Velthoven M, de Iongh A, Findlay D, Locock L, Ziebland S. Using online patient feedback to improve NHS services: the INQUIRE multimethod study. Health Services and Delivery Research 2019;7(38):1 View
  16. Bidmon S, Elshiewy O, Terlutter R, Boztug Y. What Patients Value in Physicians: Analyzing Drivers of Patient Satisfaction Using Physician-Rating Website Data. Journal of Medical Internet Research 2020;22(2):e13830 View
  17. Patel S, Cain R, Neailey K, Hooberman L. Public Awareness, Usage, and Predictors for the Use of Doctor Rating Websites: Cross-Sectional Study in England. Journal of Medical Internet Research 2018;20(7):e243 View
  18. Chauhan S, Jaiswal M. A meta-analysis of e-health applications acceptance. Journal of Enterprise Information Management 2017;30(2):295 View
  19. Tao D, Wang T, Wang T, Zhang T, Zhang X, Qu X. A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies. Computers in Human Behavior 2020;104:106147 View
  20. Cajita M, Hodgson N, Budhathoki C, Han H. Intention to Use mHealth in Older Adults With Heart Failure. Journal of Cardiovascular Nursing 2017;32(6):E1 View
  21. Zhai Y, Zhu W, Cai Y, Sun D, Zhao J. Clinical- and Cost-effectiveness of Telemedicine in Type 2 Diabetes Mellitus. Medicine 2014;93(28):e312 View
  22. Patel S, Cain R, Neailey K, Hooberman L. Exploring Patients’ Views Toward Giving Web-Based Feedback and Ratings to General Practitioners in England: A Qualitative Descriptive Study. Journal of Medical Internet Research 2016;18(8):e217 View
  23. van de Belt T, Engelen L, Verhoef L, van der Weide M, Schoonhoven L, Kool R. Using Patient Experiences on Dutch Social Media to Supervise Health Care Services: Exploratory Study. Journal of Medical Internet Research 2015;17(1):e7 View
  24. Palos-Sanchez P, Saura J, Rios Martin M, Aguayo Camacho M. M-Health Apps: Towards a Better Understanding Intention to Use (Preprint). JMIR mHealth and uHealth 2021 View

Books/Policy Documents

  1. Sezgin E, Yildirim S, Yildirim S. Current and Emerging mHealth Technologies. View
  2. Beier M, Aebli A. Information and Communication Technologies in Tourism 2016. View
  3. Abu Seman S, Ramayah T. . Mobile Platforms, Design, and Apps for Social Commerce. View