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

Depression and Mood Disorders; Suicide Prevention (1273) Internet Interventions (ISRII delegates) Theme Issue 2014 (4)

Published on in Vol 3, No 1 (2016): Jan-Mar

Automated Remote Monitoring of Depression: Acceptance Among Low-Income Patients in Diabetes Disease Management

Automated Remote Monitoring of Depression: Acceptance Among Low-Income Patients in Diabetes Disease Management

Automated Remote Monitoring of Depression: Acceptance Among Low-Income Patients in Diabetes Disease Management

Authors of this article:

Magaly Ramirez1 Author Orcid Image ;   Shinyi Wu1, 2, 3 Author Orcid Image ;   Haomiao Jin1 Author Orcid Image ;   Kathleen Ell4 Author Orcid Image ;   Sandra Gross-Schulman5 Author Orcid Image ;   Laura Myerchin Sklaroff5, 6 Author Orcid Image ;   Jeffrey Guterman5, 7 Author Orcid Image
Article Authors Cited by (19) Tweetations (16) Metrics

Journals

  1. Bauer A, Iles-Shih M, Ghomi R, Rue T, Grover T, Kincler N, Miller M, Katon W. Acceptability of mHealth augmentation of Collaborative Care: A mixed methods pilot study. General Hospital Psychiatry 2018;51:22 View
  2. Jin H, Wu S. Use of Patient-Reported Data to Match Depression Screening Intervals With Depression Risk Profiles in Primary Care Patients With Diabetes: Development and Validation of Prediction Models for Major Depression. JMIR Formative Research 2019;3(4):e13610 View
  3. Jin H, Wu S. Screening Depression and Related Conditions via Text Messaging Versus Interview Assessment: Protocol for a Randomized Study. JMIR Research Protocols 2019;8(3):e12392 View
  4. Hay J, Lee P, Jin H, Guterman J, Gross-Schulman S, Ell K, Wu S. Cost-Effectiveness of a Technology-Facilitated Depression Care Management Adoption Model in Safety-Net Primary Care Patients with Type 2 Diabetes. Value in Health 2018;21(5):561 View
  5. Rhoades H, Wenzel S, Winetrobe H, Ramirez M, Wu S, Carranza A, Dent D, Caraballo Jones M. A text messaging-based intervention to increase physical activity among persons living in permanent supportive housing: Feasibility and acceptability findings from a pilot study. DIGITAL HEALTH 2019;5:205520761983243 View
  6. Jin H, Wu S. Text Messaging as a Screening Tool for Depression and Related Conditions in Underserved, Predominantly Minority Safety Net Primary Care Patients: Validity Study. Journal of Medical Internet Research 2020;22(3):e17282 View
  7. Christopoulou S, Kotsilieris T, Anagnostopoulos I. Assessment of Health Information Technology Interventions in Evidence-Based Medicine: A Systematic Review by Adopting a Methodological Evaluation Framework. Healthcare 2018;6(3):109 View
  8. Ell K, Wu S, Guterman J, Schulman S, Sklaroff L, Lee P. Comparative Studies of Collaborative Team Depression Care Adoption in Safety Net Clinics. Research on Social Work Practice 2018;28(2):154 View
  9. Christopoulou S, Kotsilieris T, Anagnostopoulos I. Evidence-based health and clinical informatics: a systematic review on randomized controlled trials. Health and Technology 2018;8(1-2):137 View
  10. Wu S, Ell K, Jin H, Vidyanti I, Chou C, Lee P, Gross-Schulman S, Sklaroff L, Belson D, Nezu A, Hay J, Wang C, Scheib G, Di Capua P, Hawkins C, Liu P, Ramirez M, Wu B, Richman M, Myers C, Agustines D, Dasher R, Kopelowicz A, Allevato J, Roybal M, Ipp E, Haider U, Graham S, Mahabadi V, Guterman J. Comparative Effectiveness of a Technology-Facilitated Depression Care Management Model in Safety-Net Primary Care Patients With Type 2 Diabetes: 6-Month Outcomes of a Large Clinical Trial. Journal of Medical Internet Research 2018;20(4):e147 View
  11. Waterman A, Wood E, Ranasinghe O, Faye Lipsey A, Anderson C, Balliet W, Holland-Carter L, Maurer S, Aurora Posadas Salas M. A Digital Library for Increasing Awareness About Living Donor Kidney Transplants: Formative Study. JMIR Formative Research 2020;4(7):e17441 View
  12. Burt K, Sisselman-Borgia A. How Community Health Workers Can Improve Workforce Diversity and Dietary Outcomes. Nutrition Today 2020;55(5):254 View
  13. Bassi G, Gabrielli S, Donisi V, Carbone S, Forti S, Salcuni S. Assessment of Psychological Distress in Adults With Type 2 Diabetes Mellitus Through Technologies: Literature Review. Journal of Medical Internet Research 2021;23(1):e17740 View
  14. Najafi B, Mishra R. Harnessing Digital Health Technologies to Remotely Manage Diabetic Foot Syndrome: A Narrative Review. Medicina 2021;57(4):377 View
  15. Aikens J, Valenstein M, Plegue M, Sen A, Marinec N, Achtyes E, Piette J. Technology-Facilitated Depression Self-Management Linked with Lay Supporters and Primary Care Clinics: Randomized Controlled Trial in a Low-Income Sample. Telemedicine and e-Health 2022;28(3):399 View
  16. Shah A, Hussain-Shamsy N, Strudwick G, Sockalingam S, Nolan R, Seto E. Digital Health Interventions for Depression and Anxiety Among People With Chronic Conditions: Scoping Review. Journal of Medical Internet Research 2022;24(9):e38030 View
  17. Moon K, Sobolev M, Kane J. Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review. JMIR Mental Health 2022;9(2):e30810 View
  18. Racey M, Whitmore C, Alliston P, Cafazzo J, Crawford A, Castle D, Dragonetti R, Fitzpatrick-Lewis D, Jovkovic M, Melamed O, Naeem F, Senior P, Strudwick G, Ramdass S, Vien V, Selby P, Sherifali D. Technology-Supported Integrated Care Innovations to Support Diabetes and Mental Health Care: Scoping Review. JMIR Diabetes 2023;8:e44652 View

Books/Policy Documents

  1. Sekhar Ray H, Bose S, Mukherjee N. Recent Advancements in ICT Infrastructure and Applications. View