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

mHealth for Wellness, Behavior Change and Prevention (2525) Mobile Health (mhealth) (2365) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (477) Human Factors and Usability Case Studies (616) Usability of Apps and User Perceptions of mHealth (792) mHealth in a Clinical Setting (524) Usability Evaluation Case Studies (151) Design and Formative Evaluation of Mobile Apps (619)

Published on in Vol 4, No 1 (2016): Jan-Mar

Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship

Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship

Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship

Authors of this article:

Seryung Choo 1 Author Orcid Image ;   Ju Young Kim 1, 2 Author Orcid Image ;   Se Young Jung 1 Author Orcid Image ;   Sarah Kim 1 Author Orcid Image ;   Jeong Eun Kim 1 Author Orcid Image ;   Jong Soo Han 3 Author Orcid Image ;   Sohye Kim 4 Author Orcid Image ;   Jeong Hyun Kim 5 Author Orcid Image ;   Jeehye Kim 6 Author Orcid Image ;   Yongseok Kim 6 Author Orcid Image ;   Dongouk Kim 6 Author Orcid Image ;   Steve Steinhubl 2 Author Orcid Image
Article Authors Cited by (15) Tweetations (4) Metrics

Journals

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  2. Pham Q, Wiljer D, Cafazzo J. Beyond the Randomized Controlled Trial: A Review of Alternatives in mHealth Clinical Trial Methods. JMIR mHealth and uHealth 2016;4(3):e107 View
  3. Albrecht U, Afshar K, Illiger K, Becker S, Hartz T, Breil B, Wichelhaus D, von Jan U. Expectancy, usage and acceptance by general practitioners and patients: exploratory results from a study in the German outpatient sector. DIGITAL HEALTH 2017;3:205520761769513 View
  4. Gabrielli S, Dianti M, Maimone R, Betta M, Filippi L, Ghezzi M, Forti S. Design of a Mobile App for Nutrition Education (TreC-LifeStyle) and Formative Evaluation With Families of Overweight Children. JMIR mHealth and uHealth 2017;5(4):e48 View
  5. Silva A, Simões P, Santos R, Queirós A, Rocha N, Rodrigues M. A Scale to Assess the Methodological Quality of Studies Assessing Usability of Electronic Health Products and Services: Delphi Study Followed by Validity and Reliability Testing. Journal of Medical Internet Research 2019;21(11):e14829 View
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  7. Alnuaimi A, Rawaf S, Hassounah S, Chehab M. Use of mobile applications in the management of overweight and obesity in primary and secondary care. JRSM Open 2019;10(3):205427041984382 View
  8. Hu R, van Velthoven M, Meinert E. Perspectives of People Who Are Overweight and Obese on Using Wearable Technology for Weight Management: Systematic Review. JMIR mHealth and uHealth 2020;8(1):e12651 View
  9. Ng A, Kornfield R, Schueller S, Zalta A, Brennan M, Reddy M. Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
  10. Wattanapisit A, Wattanapisit S, Tuangratananon T, Amaek W, Wongsiri S, Petchuay P. Primary Health Care Providers’ Perspectives on Developing an eHealth Tool for Physical Activity Counselling: A Qualitative Study. Journal of Multidisciplinary Healthcare 2021;Volume 14:321 View
  11. Wattanapisit A, Tuangratananon T, Wattanapisit S. Usability and utility of eHealth for physical activity counselling in primary health care: a scoping review. BMC Family Practice 2020;21(1) View
  12. Aida A, Svensson T, Svensson A, Chung U, Yamauchi T. eHealth Delivery of Educational Content Using Selected Visual Methods to Improve Health Literacy on Lifestyle-Related Diseases: Literature Review. JMIR mHealth and uHealth 2020;8(12):e18316 View
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  14. Wang T, Zheng X, Liang J, An K, He Y, Nuo M, Wang W, Lei J. Use of Machine Learning to Mine User-Generated Content From Mobile Health Apps for Weight Loss to Assess Factors Correlated With User Satisfaction. JAMA Network Open 2022;5(5):e2215014 View