Literature DB >> 31025888

Is a Self-Monitoring App for Depression a Good Place for Additional Mental Health Information? Ecological Momentary Assessment of Mental Help Information Seeking among Smartphone Users.

Sebastian Scherr1, Mark Goering2.   

Abstract

Mobile devices and apps offer promising opportunities for both patients and healthcare professionals, for example, to monitor and assess health status, and also to provide relevant health information. However, health information seeking within a mood-tracking app has not yet been addressed by research. To bridge this gap, the depression-related health information seeking of 6,675 users of a mood-tracking smartphone app was unobtrusively monitored. The study shows that self-monitored depressive symptoms are associated with higher depression-related information seeking within the app. Health information seeking was low in general, with differences across 12 depression-related topics (e.g., depressive thoughts, a depression diagnosis, or depression facts), but the findings are also promising as the smartphone app was shown to be a place where users can inform themselves about health topics related to the main purpose of the app. Smartphone apps would therefore seem to be a vehicle through which to provide additional health information about, for example, comorbidities, or pre- or post-interventions, even going beyond the original purposes of such mobile health (mHealth) monitoring apps.

Entities:  

Mesh:

Year:  2019        PMID: 31025888     DOI: 10.1080/10410236.2019.1606135

Source DB:  PubMed          Journal:  Health Commun        ISSN: 1041-0236


  4 in total

1.  Patient and physician perspectives of a smartphone application for depression: a qualitative study.

Authors:  Marie-Camille Patoz; Diego Hidalgo-Mazzei; Olivier Blanc; Norma Verdolini; Isabella Pacchiarotti; Andrea Murru; Laurent Zukerwar; Eduard Vieta; Pierre-Michel Llorca; Ludovic Samalin
Journal:  BMC Psychiatry       Date:  2021-01-29       Impact factor: 3.630

Review 2.  Implementation of Cognitive Behavioral Therapy in e-Mental Health Apps: Literature Review.

Authors:  Kerstin Denecke; Nicole Schmid; Stephan Nüssli
Journal:  J Med Internet Res       Date:  2022-03-10       Impact factor: 7.076

3.  Smartphone App-Based Noncontact Ecological Momentary Assessment With Experienced and Naïve Older Participants: Feasibility Study.

Authors:  Louise Burke; Graham Naylor
Journal:  JMIR Form Res       Date:  2022-03-08

Review 4.  Self-guided Cognitive Behavioral Therapy Apps for Depression: Systematic Assessment of Features, Functionality, and Congruence With Evidence.

Authors:  Laura Martinengo; Anne-Claire Stona; Konstadina Griva; Paola Dazzan; Carmine Maria Pariante; Florian von Wangenheim; Josip Car
Journal:  J Med Internet Res       Date:  2021-07-30       Impact factor: 7.076

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.