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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (374) Wearable Devices and Sensors (889) mHealth for Data Collection and Research (955) mHealth for Wellness, Behavior Change and Prevention (2872)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30468, first published .
Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis

Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis

Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis

Authors of this article:

Ben Joseph Philip1 Author Orcid Image ;   Mohamed Abdelrazek2 Author Orcid Image ;   Alessio Bonti2 Author Orcid Image ;   Scott Barnett3 Author Orcid Image ;   John Grundy4 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. Zhang Y, Lee E, Teo W. Health-Seeking Behavior and Its Associated Technology Use: Interview Study Among Community-Dwelling Older Adults. JMIR Aging 2023;6:e43709 View
  2. Charron E, White A, Carlston K, Abdullah W, Baylis J, Pierce S, Businelle M, Gordon A, Krans E, Smid M, Cochran G. Prospective acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder: A multisite qualitative study. Frontiers in Psychiatry 2023;14 View
  3. Máté Á, Rakovics Z, Rudas S, Wallis L, Ságvári B, Huszár Á, Koltai J. Willingness of Participation in an Application-Based Digital Data Collection among Different Social Groups and Smartphone User Clusters. Sensors 2023;23(9):4571 View
  4. Panigutti C, Beretta A, Fadda D, Giannotti F, Pedreschi D, Perotti A, Rinzivillo S. Co-design of Human-centered, Explainable AI for Clinical Decision Support. ACM Transactions on Interactive Intelligent Systems 2023;13(4):1 View
  5. Wang W, Khalajzadeh H, Grundy J, Madugalla A, McIntosh J, Obie H. Adaptive user interfaces in systems targeting chronic disease: a systematic literature review. User Modeling and User-Adapted Interaction 2024;34(3):853 View
  6. Huettemann R, Sevov B, Meister S, Fehring L. Understanding citizens’ attitudes within user-centered digital health ecosystems: A sequential mixed method methodology including a web-survey. DIGITAL HEALTH 2024;10 View
  7. Liaqat M, Mushtaq M, Jamil A, Mushtaq M, Ali H, Anwar R, Raza A, Aslam A, Tariq T, Hussain M, Bakht D, Bokhari S. Mobile Health Interventions: A Frontier for Mitigating the Global Burden of Cardiovascular Disease. Cureus 2024 View
  8. Bosworth K, Ghosh P, Flowers L, Proffitt R, Koopman R, Tosh A, Wilson G, Braddock A. The user-centered design and development of a childhood and adolescent obesity Electronic Health Record tool, a mixed-methods study. Frontiers in Digital Health 2024;6 View
  9. Song S, Ashton M, Yoo R, Lkhagvajav Z, Wright R, Mathews D, Taylor C. Participant Contributions to Person-generated Health Data Research Using Mobile Devices: A Scoping Review (Preprint). Journal of Medical Internet Research 2023 View
  10. Qurban Memon , Mohammed Al Ameri , Namya Musthafa . Generalized and Improved Human Activity Recognition for Real-Time Wellness Monitoring. Proceedings of Engineering and Technology Innovation 2024;28:30 View