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

mHealth for Wellness, Behavior Change and Prevention (3087) Mobile Health (mhealth) (3141) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (636) Human Factors and Usability Case Studies (889) Usability of Apps and User Perceptions of mHealth (1079) mHealth in a Clinical Setting (672) Usability Evaluation Case Studies (222) Design and Formative Evaluation of Mobile Apps (744)

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 Choo1 Author Orcid Image ;   Ju Young Kim1, 2 Author Orcid Image ;   Se Young Jung1 Author Orcid Image ;   Sarah Kim1 Author Orcid Image ;   Jeong Eun Kim1 Author Orcid Image ;   Jong Soo Han3 Author Orcid Image ;   Sohye Kim4 Author Orcid Image ;   Jeong Hyun Kim5 Author Orcid Image ;   Jeehye Kim6 Author Orcid Image ;   Yongseok Kim6 Author Orcid Image ;   Dongouk Kim6 Author Orcid Image ;   Steve Steinhubl2 Author Orcid Image
Article Authors Cited by (17) Tweetations (4) Metrics

Journals

  1. Lentferink A, Oldenhuis H, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen J. Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review. Journal of Medical Internet Research 2017;19(8):e277 View
  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 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
  6. West P, Van Kleek M, Giordano R, Weal M, Shadbolt N. Information Quality Challenges of Patient-Generated Data in Clinical Practice. Frontiers in Public Health 2017;5 View
  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) 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
  13. Kim O, Dadaeva V, Telkhigova A, Drapkina O. Mobile medical applications: opportunities, challenges and prospects. Profilakticheskaya meditsina 2021;24(7):96 View
  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
  15. Balanyà Rebollo J, De Oliveira J. Teachers’ Evaluation of the Usability of a Self-Assessment Tool for Mobile Learning Integration in the Classroom. Education Sciences 2023;14(1):1 View
  16. Bailoni T, Dragoni M. A Review on Trustworthiness of Digital Assistants for Personal Healthcare. ACM Computing Surveys 2025;57(7):1 View

Conference Proceedings

  1. West P, Van Kleek M, Giordano R, Weal M, Shadbolt N. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Common Barriers to the Use of Patient-Generated Data Across Clinical Settings View