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

Web-based and Mobile Health Interventions (3297) Focus Groups and Qualitative Research for Human Factors Research (851) Adoption and Change Management of eHealth Systems (712) Interventions and Support for Informal Caregivers of People with Mental Illness (96) Glucose Tracking and Self-Monitoring of Blood Glucose (162) Sensors for Glucose Monitoring and Diabetes Management (33)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18119, first published .
Adoption of Digital Health Technologies in the Practice of Behavioral Health: Qualitative Case Study of Glucose Monitoring Technology

Adoption of Digital Health Technologies in the Practice of Behavioral Health: Qualitative Case Study of Glucose Monitoring Technology

Adoption of Digital Health Technologies in the Practice of Behavioral Health: Qualitative Case Study of Glucose Monitoring Technology

Authors of this article:

Suepattra G May1 Author Orcid Image ;   Caroline Huber2 Author Orcid Image ;   Meaghan Roach1 Author Orcid Image ;   Jason Shafrin1 Author Orcid Image ;   Wade Aubry3 Author Orcid Image ;   Darius Lakdawalla4 Author Orcid Image ;   John M Kane5, 6 Author Orcid Image ;   Felicia Forma7 Author Orcid Image
Article Authors Cited by (10) Tweetations (8) Metrics

Journals

  1. Montagut-Martínez P, García-Arenas J, Romero-López M, Rodríguez-Rodríguez N, Pérez-Cruzado D, González-Lama J. Feasibility of an Activity Control System in Patients with Diabetes: A Study Protocol of a Randomised Controlled Trial. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2022;Volume 15:2683 View
  2. Bosnic-Anticevich S, Bakerly N, Chrystyn H, Hew M, van der Palen J. Advancing Digital Solutions to Overcome Longstanding Barriers in Asthma and COPD Management. Patient Preference and Adherence 2023;Volume 17:259 View
  3. Oduntan A, Oyebode O, Beltran A, Fowles J, Steeves D, Orji R. “I Let Depression and Anxiety Drown Me…”: Identifying Factors Associated With Resilience Based on Journaling Using Machine Learning and Thematic Analysis. IEEE Journal of Biomedical and Health Informatics 2022;26(7):3397 View
  4. Yan L, Li Q, Guan Q, Han M, Zhao Y, Fang J, Zhao J. Evaluation of the performance and usability of a novel continuous glucose monitoring system. International Journal of Diabetes in Developing Countries 2023;43(4):551 View
  5. Kaplan A, Boivin M, Bouchard J, Kim J, Hayes S, Licskai C. The emerging role of digital health in the management of asthma. Therapeutic Advances in Chronic Disease 2023;14 View
  6. Hailu H, Kidu Mezgebo G. Contract farming and sesame productivity of smallholder farmers in Western Tigray, Ethiopia. Cogent Food & Agriculture 2024;10(1) View
  7. Castillo-Valdez P, Rodriguez-Salvador M, Ho Y. Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis. JMIR Diabetes 2024;9:e52196 View
  8. Hill A, Morrissey D, Marsh W. What characteristics of clinical decision support system implementations lead to adoption for regular use? A scoping review. BMJ Health & Care Informatics 2024;31(1):e101046 View

Books/Policy Documents

  1. Hense C, Schelper M. Hybrid Healthcare. View
  2. Thirupathi L, Kaashipaka V, Dhanaraju M, Katakam V. Intelligent Systems and IoT Applications in Clinical Health. View