Toward the Design of Evidence-Based Mental Health Information Systems for People With Depression: A Systematic Literature Review and Meta-Analysis

Item Type Journal paper
Abstract

Background: Existing research postulates a variety of components that show an impact on utilization of technology-mediated mental health information systems (MHIS) and treatment outcome. Although researchers assessed the effect of isolated design elements on the results of Web-based interventions and the associations between symptom reduction and use of components across computer and mobile phone platforms, there remains uncertainty with regard to which components of technology-mediated interventions for mental health exert the greatest therapeutic gain. Until now, no studies have presented results on the therapeutic benefit associated with specific service components of technology-mediated MHIS for depression.
Objective: This systematic review aims at identifying components of technology-mediated MHIS for patients with depression. Consequently, all randomized controlled trials comparing technology-mediated treatments for depression to either waiting-list control, treatment as usual, or any other form of treatment for depression were reviewed. Updating prior reviews, this study aims to (1) assess the effectiveness of technology-supported interventions for the treatment of depression and (2) add to the debate on what components in technology-mediated MHIS for the treatment of depression should be standard of care.
Methods: Systematic searches in MEDLINE, PsycINFO, and the Cochrane Library were conducted. Effect sizes for each comparison between a technology-enabled intervention and a control condition were computed using the standard mean difference (SMD). Chi-square tests were used to test for heterogeneity. Using subgroup analysis, potential sources of heterogeneity were analyzed. Publication bias was examined using visual inspection of funnel plots and Begg’s test. Qualitative data analysis was also used. In an explorative approach, a list of relevant components was extracted from the body of literature by consensus between two researchers.
Results: Of 6387 studies initially identified, 45 met all inclusion criteria. Programs analyzed showed a significant trend toward reduced depressive symptoms (SMD –0.58, 95% CI –0.71 to –0.45, P<.001). Heterogeneity was large (I2≥76). A total of 15 components were identified.
Conclusions: Technology-mediated MHIS for the treatment of depression has a consistent positive overall effect compared to controls. A total of 15 components have been identified. Further studies are needed to quantify the impact of individual components on treatment effects and to identify further components that are relevant for the design of future technology-mediated interventions for the treatment of depression and other mental disorders.

Authors Wahle, Fabian; Bollhalder, Lea; Kowatsch, Tobias & Fleisch, Elgar
Journal or Publication Title Journal of Medical Internet Research
Language English
Subjects information management
social sciences
other research area
Institute/School ITEM - Institute of Technology Management with Transfer Center for Technology Management (TECTEM)
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HSG Classification contribution to scientific community
HSG Profile Area SoM - Business Innovation
Refereed Yes
Date 2017
Volume 19
Number 5
Page Range e191
ISSN 1438-8871
Official URL http://dx.doi.org/10.2196/jmir.7381
Depositing User Dr. oec. H Tobias Kowatsch
Date Deposited 14 Dec 2017 08:38
Last Modified 14 Dec 2017 08:38
URI: https://www.alexandria.unisg.ch/publications/252937

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Wahle, Fabian; Bollhalder, Lea; Kowatsch, Tobias & Fleisch, Elgar (2017) Toward the Design of Evidence-Based Mental Health Information Systems for People With Depression: A Systematic Literature Review and Meta-Analysis. Journal of Medical Internet Research, 19 (5). e191. ISSN 1438-8871

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https://www.alexandria.unisg.ch/id/eprint/252937
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