Literature DB >> 31689344

Is there a trial bias impacting user engagement with unguided e-mental health interventions? A systematic comparison of published reports and real-world usage of the same programs.

Amit Baumel1, Stav Edan1, John M Kane2.   

Abstract

Trial settings that include proactive recruitment, human contact, and assessment procedures may substantially impact the way users engage with unguided e-mental health programs and the generalizability of reported findings. This study examined the impact of trial setting on user behavior by directly comparing reported user engagement in trial-based research and objective measures of real-world usage of the same unguided mental health programs. The authors conducted a systematic search for papers reporting user engagement with off-the-shelf unguided e-mental health programs. Real-world usage was obtained from a panel that presents aggregated nonpersonal information on user engagement with digital programs across the world. A total of 13 papers yielding 14 comparable usage metrics met all inclusion criteria. In three papers reporting the use of programs by lay users without any proactive trial procedures, the ratios calculated by dividing the usage reported in the paper by the usage documented within the objective dataset were 0.84, 1.05, and 1.27-suggesting a sufficient criterion validity for our examination. In studies that proactively recruited users and included pre- to post-assessment procedures (11 comparisons), the median program usage rate reported was 4.06 times higher (IQR = 4.49) than the real-world usage of the same program. Severity of clinical symptoms, in-person versus remote assessment procedures, study design, and program cost had no impact on these differences. The results suggest that trial settings have a large impact on user engagement with unguided interventions and, therefore, on the generalizability of the findings to the real world. © Society of Behavioral Medicine 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Adherence; Digital; Mental health; User behaviors; User engagement; eHealth

Mesh:

Year:  2019        PMID: 31689344     DOI: 10.1093/tbm/ibz147

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  19 in total

1.  Scaling evidence-based treatments through digital mental health.

Authors:  Stephen M Schueller; John Torous
Journal:  Am Psychol       Date:  2020-11

2.  A Direct-to-Public Peer Support Program (Big White Wall) Versus Web-Based Information to Aid the Self-management of Depression and Anxiety: Results and Challenges of an Automated Randomized Controlled Trial.

Authors:  Richard Morriss; Catherine Kaylor-Hughes; Matthew Rawsthorne; Neil Coulson; Sandra Simpson; Boliang Guo; Marilyn James; James Lathe; Paul Moran; Laila Tata; Laura Williams
Journal:  J Med Internet Res       Date:  2021-04-23       Impact factor: 5.428

3.  The Supportive Accountability Inventory: Psychometric properties of a measure of supportive accountability in coached digital interventions.

Authors:  Jonah Meyerhoff; Shefali Haldar; David C Mohr
Journal:  Internet Interv       Date:  2021-05-04

4.  Component analysis of a synchronous and asynchronous blended care CBT intervention for symptoms of depression and anxiety: Pragmatic retrospective study.

Authors:  Anita Lungu; Robert E Wickham; Shih-Yin Chen; Janie J Jun; Yan Leykin; Connie E-J Chen
Journal:  Internet Interv       Date:  2022-04-05

5.  Young adolescents' interest in a mental health casual video game.

Authors:  Russell Pine; Kylie Sutcliffe; Simon McCallum; Theresa Fleming
Journal:  Digit Health       Date:  2020-08-30

6.  Effort-Optimized Intervention Model: Framework for Building and Analyzing Digital Interventions That Require Minimal Effort for Health-Related Gains.

Authors:  Amit Baumel; Frederick J Muench
Journal:  J Med Internet Res       Date:  2021-03-12       Impact factor: 5.428

Review 7.  Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.

Authors:  Judith Borghouts; Elizabeth Eikey; Gloria Mark; Cinthia De Leon; Stephen M Schueller; Margaret Schneider; Nicole Stadnick; Kai Zheng; Dana Mukamel; Dara H Sorkin
Journal:  J Med Internet Res       Date:  2021-03-24       Impact factor: 5.428

8.  Examining the effectiveness of telemonitoring with routinely acquired blood pressure data in primary care: challenges in the statistical analysis.

Authors:  Richard A Parker; Paul Padfield; Janet Hanley; Hilary Pinnock; John Kennedy; Andrew Stoddart; Vicky Hammersley; Aziz Sheikh; Brian McKinstry
Journal:  BMC Med Res Methodol       Date:  2021-02-10       Impact factor: 4.615

9.  Contextual Predictors of Engagement in a Tailored mHealth Intervention for Adolescent and Young Adult Cancer Survivors.

Authors:  Alexandra M Psihogios; Sara King-Dowling; Bridget O'Hagan; Katie Darabos; Laurie Maurer; Jordyn Young; Linda Fleisher; Lamia P Barakat; Dava Szalda; Christine E Hill-Kayser; Lisa A Schwartz
Journal:  Ann Behav Med       Date:  2021-11-18

10.  Digital Micro Interventions for Behavioral and Mental Health Gains: Core Components and Conceptualization of Digital Micro Intervention Care.

Authors:  Amit Baumel; Theresa Fleming; Stephen M Schueller
Journal:  J Med Internet Res       Date:  2020-10-29       Impact factor: 5.428

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