Published on in Vol 7, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19476, first published .
A Smartphone App to Monitor Mood Symptoms in Bipolar Disorder: Development and Usability Study

A Smartphone App to Monitor Mood Symptoms in Bipolar Disorder: Development and Usability Study

A Smartphone App to Monitor Mood Symptoms in Bipolar Disorder: Development and Usability Study

Journals

  1. Chia A, Zhang M. Digital phenotyping in psychiatry: A scoping review. Technology and Health Care 2022;30(6):1331 View
  2. 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
  3. Ortiz A, Maslej M, Husain M, Daskalakis Z, Mulsant B. Apps and gaps in bipolar disorder: A systematic review on electronic monitoring for episode prediction. Journal of Affective Disorders 2021;295:1190 View
  4. Jakob R, Harperink S, Rudolf A, Fleisch E, Haug S, Mair J, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371 View
  5. Ross M, Demos A, Zulueta J, Piscitello A, Langenecker S, McInnis M, Ajilore O, Nelson P, Ryan K, Leow A. Naturalistic smartphone keyboard typing reflects processing speed and executive function. Brain and Behavior 2021;11(11) View
  6. Lee K, Lee T, Yefimova M, Kumar S, Puga F, Azuero A, Kamal A, Bakitas M, Wright A, Demiris G, Ritchie C, Pickering C, Nicholas Dionne-Odom J. Using digital phenotyping to understand health-related outcomes: A scoping review. International Journal of Medical Informatics 2023;174:105061 View
  7. Ortiz A, Park Y, Gonzalez-Torres C, Alda M, Blumberger D, Burnett R, Husain M, Sanches M, Mulsant B. Predictors of adherence to electronic self-monitoring in patients with bipolar disorder: a contactless study using Growth Mixture Models. International Journal of Bipolar Disorders 2023;11(1) View
  8. Anmella G, De Prisco M, Joyce J, Valenzuela-Pascual C, Mas-Musons A, Oliva V, Fico G, Chatzisofroniou G, Mishra S, Al-Soleiti M, Corponi F, Giménez-Palomo A, Montejo L, González-Campos M, Popovic D, Pacchiarotti I, Valentí M, Cavero M, Colomer L, Grande I, Benabarre A, Llach C, Raduà J, McInnis M, Hidalgo-Mazzei D, Frye M, Murru A, Vieta E. Automated Speech Analysis in Bipolar Disorder: The CALIBER Study Protocol and Preliminary Results. Journal of Clinical Medicine 2024;13(17):4997 View

Books/Policy Documents

  1. Anmella G, Hidalgo-Mazzei D, Vieta E. Digital Mental Health. View
  2. Ruckau S, Schneider A, Rösch-Lehmann A. Gestaltung des Wandels im Dienstleistungsmanagement. View