Published on in Vol 6, No 4 (2019): April
Utilization of Patient-Generated Data Collected Through Mobile Devices: Insights From a Survey on Attitudes Toward Mobile Self-Monitoring and Self-Management Apps for Depression
Utilization of Patient-Generated Data Collected Through Mobile Devices: Insights From a Survey on Attitudes Toward Mobile Self-Monitoring and Self-Management Apps for Depression
Journals
- Heidel A, Hagist C. Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review. JMIR mHealth and uHealth 2020;8(9):e16444 View
- Lorenz N, Sander C, Ivanova G, Hegerl U. Temporal Associations of Daily Changes in Sleep and Depression Core Symptoms in Patients Suffering From Major Depressive Disorder: Idiographic Time-Series Analysis. JMIR Mental Health 2020;7(4):e17071 View
- Borghouts J, Eikey E, Mark G, De Leon C, Schueller S, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D. Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24387 View
- Emerson M, Harsh Caspari J, Notice M, Watanabe-Galloway S, Dinkel D, Kabayundo J. Mental health mobile app use: Considerations for serving underserved patients in integrated primary care settings. General Hospital Psychiatry 2021;69:67 View
- Brooks M, Cund A. Remote clinics in gastroenterology: a literature review of telephone and video consultations in adult and paediatric services. Gastrointestinal Nursing 2020;18(9):22 View
- Ng A, Wei B, Jain J, Ward E, Tandon S, Moskowitz J, Krogh-Jespersen S, Wakschlag L, Alshurafa N. Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation. JMIR mHealth and uHealth 2022;10(8):e33850 View
- Simpson E, Brown R, Sillence E, Coventry L, Lloyd K, Gibbs J, Tariq S, Durrant A. Understanding the Barriers and Facilitators to Sharing Patient-Generated Health Data Using Digital Technology for People Living With Long-Term Health Conditions: A Narrative Review. Frontiers in Public Health 2021;9 View
- Rubeis G. iHealth: The ethics of artificial intelligence and big data in mental healthcare. Internet Interventions 2022;28:100518 View
- C. J. S, Jayanthila Devi A. A Study on the Dynamics of Technology and the Future of Pharmaceutical Industry. International Journal of Health Sciences and Pharmacy 2021:42 View
- Brown R, Sillence E, Coventry L, Simpson E, Gibbs J, Tariq S, C. Durrant A, Lloyd K. Understanding the attitudes and experiences of people living with potentially stigmatised long-term health conditions with respect to collecting and sharing health and lifestyle data. DIGITAL HEALTH 2022;8:205520762210897 View
- Cummings P, Petitclerc A, Moskowitz J, Tandon D, Zhang Y, MacNeill L, Alshurafa N, Krogh-Jespersen S, Hamil J, Nili A, Berken J, Grobman W, Rangarajan A, Wakschlag L. Feasibility of Passive ECG Bio-sensing and EMA Emotion Reporting Technologies and Acceptability of Just-in-Time Content in a Well-being Intervention, Considerations for Scalability and Improved Uptake. Affective Science 2022;3(4):849 View
- Forman-Hoffman V, Kvedar J, Ranta K. Potential Benefits of Remote Continuous Care for Depression. International Journal of Digital Health 2021;1(1):15 View
- Lipschitz J, Pike C, Hogan T, Murphy S, Burdick K. The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward. Current Treatment Options in Psychiatry 2023;10(3):119 View
- Sarkar S, Gaur M, Chen L, Garg M, Srivastava B. A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement. Frontiers in Artificial Intelligence 2023;6 View
- Cascini F, Pantovic A, Al-Ajlouni Y, Puleo V, De Maio L, Ricciardi W. Health data sharing attitudes towards primary and secondary use of data: a systematic review. eClinicalMedicine 2024;71:102551 View