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

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (351)

Published on in Vol 7, No 5 (2018): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9899, first published .
Engagement Strategies for Self-Monitoring Symptoms of Bipolar Disorder With Mobile and Wearable Technology: Protocol for a Randomized Controlled Trial

Engagement Strategies for Self-Monitoring Symptoms of Bipolar Disorder With Mobile and Wearable Technology: Protocol for a Randomized Controlled Trial

Engagement Strategies for Self-Monitoring Symptoms of Bipolar Disorder With Mobile and Wearable Technology: Protocol for a Randomized Controlled Trial

Authors of this article:

Amy Cochran1 Author Orcid Image ;   Livia Belman-Wells2 Author Orcid Image ;   Melvin McInnis3 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

Journals

  1. Morton E, Murray G. An update on sleep in bipolar disorders: presentation, comorbidities, temporal relationships and treatment. Current Opinion in Psychology 2020;34:1 View
  2. Van Til K, McInnis M, Cochran A. A comparative study of engagement in mobile and wearable health monitoring for bipolar disorder. Bipolar Disorders 2020;22(2):182 View
  3. Kroska E, Hoel S, Victory A, Murphy S, McInnis M, Stowe Z, Cochran A. Optimizing an Acceptance and Commitment Therapy Microintervention Via a Mobile App With Two Cohorts: Protocol for Micro-Randomized Trials. JMIR Research Protocols 2020;9(9):e17086 View
  4. Daus H, Bloecher T, Egeler R, De Klerk R, Stork W, Backenstrass M. Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder. JMIR Mental Health 2020;7(7):e14267 View
  5. Sagorac Gruichich T, David Gomez J, Zayas‐Cabán G, McInnis M, Cochran A. A digital self‐report survey of mood for bipolar disorder. Bipolar Disorders 2021;23(8):810 View
  6. Hilty D, Armstrong C, Luxton D, Gentry M, Krupinski E. A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions. Journal of Technology in Behavioral Science 2021;6(2):278 View
  7. DAUS H, FINK-LAMOTTE J, BACKENSTRASS M. Mobile-based, emotion-sensitive video diaries and ambulatory third-party assessments as indicators of mood states in bipolar disorder. Minerva Psychiatry 2022;63(4) View
  8. Cochran A, Maronge J, Victory A, Hoel S, McInnis M, Thomas E. Mobile Acceptance and Commitment Therapy in Bipolar Disorder: Microrandomized Trial. JMIR Mental Health 2023;10:e43164 View
  9. Pahwa M, McElroy S, Priesmeyer R, Siegel G, Siegel P, Nuss S, Bowden C, El‐Mallakh R. KIOS: A smartphone app for self‐monitoring for patients with bipolar disorder. Bipolar Disorders 2023 View
  10. Heydarian S, Shakiba A, Rostam Niakan Kalhori S. The Minimum Feature Set for Designing Mobile Apps to Support Bipolar Disorder-Affected Patients: Proposal of Essential Functions and Requirements. Journal of Healthcare Informatics Research 2023;7(2):254 View

Books/Policy Documents

  1. Solomon N, Manea V. Quantifying Quality of Life. View