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

Formative Evaluation of Digital Health Interventions (2491) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1565) Mobile Health (mhealth) (2982) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) mHealth for Treatment Adherence (404) Bipolar Disorders (58)

Published on in Vol 5, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13770, first published .
Mobile App–Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review

Mobile App–Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review

Mobile App–Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review

Authors of this article:

Eric C Chan1 Author Orcid Image ;   Yuting Sun1 Author Orcid Image ;   Katherine J Aitchison1 Author Orcid Image ;   Sudhakar Sivapalan1 Author Orcid Image
Article Authors Cited by (11) Tweetations (1) Metrics

Journals

  1. Brzoska P, Erdsiek F, Aksakal T, Mader M, Ölcer S, Idris M, Altinok K, Wahidie D, Padberg D, Yilmaz-Aslan Y. Pictorial Assessment of Health-Related Quality of Life. Development and Pre-Test of the PictoQOL Questionnaire. International Journal of Environmental Research and Public Health 2022;19(3):1620 View
  2. Blair J, Brozena J, Matthews M, Richardson T, Abdullah S. Financial technologies (FinTech) for mental health: The potential of objective financial data to better understand the relationships between financial behavior and mental health. Frontiers in Psychiatry 2022;13 View
  3. Anmella G, Faurholt‐Jepsen M, Hidalgo‐Mazzei D, Radua J, Passos I, Kapczinski F, Minuzzi L, Alda M, Meier S, Hajek T, Ballester P, Birmaher B, Hafeman D, Goldstein T, Brietzke E, Duffy A, Haarman B, López‐Jaramillo C, Yatham L, Lam R, Isometsa E, Mansur R, McIntyre R, Mwangi B, Vieta E, Kessing L. Smartphone‐based interventions in bipolar disorder: Systematic review and meta‐analyses of efficacy. A position paper from the International Society for Bipolar Disorders (ISBD) Big Data Task Force. Bipolar Disorders 2022;24(6):580 View
  4. Dominiak M, Kaczmarek-Majer K, Antosik-Wójcińska A, Opara K, Olwert A, Radziszewska W, Hryniewicz O, Święcicki Ł, Wojnar M, Mierzejewski P. Behavioral and Self-reported Data Collected From Smartphones for the Assessment of Depressive and Manic Symptoms in Patients With Bipolar Disorder: Prospective Observational Study. Journal of Medical Internet Research 2022;24(1):e28647 View
  5. Sieberts S, Burn A, Carey E, Carlson S, Fernandes B, Kalha J, Lindani S, Marten C, Neelakantan L, Ranganathan S, Sams N, Scanlan E, Shah H, Sumant S, Suver C, Tummalacherla M, Velloza J, Areán P, Collins P, Fazel M, Ford T, Freeman M, Pathare S, Zingela Z, Doerr M. Targeted recruitment and the role of choice in the engagement of youth in a randomised smartphone-based mental health study in India, South Africa, and the UK: results from the MindKind Study. Wellcome Open Research 2023;8:334 View
  6. Fyles M, Vihta K, Sudre C, Long H, Das R, Jay C, Wingfield T, Cumming F, Green W, Hadjipantelis P, Kirk J, Steves C, Ourselin S, Medley G, Fearon E, House T. Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets. Scientific Reports 2023;13(1) View
  7. Lee M, Eum K, Allen J, Onnela J, Christiani D. Vaping habits and respiratory symptoms using a smartphone app platform. BMC Public Health 2024;24(1) View

Books/Policy Documents

  1. Goularte J, Rosa A. Digital Mental Health. View
  2. Volpe U, Elkholy H, Gargot T, Pinto da Costa M, Orsolini L. Tasman’s Psychiatry. View
  3. Sarsenbayeva Z, Fleming C, Tag B, Withana A, van Berkel N, McEwan A. Human-Computer Interaction – INTERACT 2023. View
  4. Volpe U, Elkholy H, Gargot T, Pinto da Costa M, Orsolini L. Tasman’s Psychiatry. View