Literature DB >> 30917380

Feasibility and Acceptability of an Intervention Providing Computer-Generated Tailored Feedback to Target Alcohol Consumption and Depressive Symptoms in Proactively Recruited Health Care Patients and Reactively Recruited Media Volunteers: Results of a Pilot Study.

Kristian Krause1, Diana Guertler2,3, Anne Moehring2,3, Anil Batra4, Sandra Eck4, Hans-Jürgen Rumpf5, Gallus Bischof5, Michael Lucht6, Jennis Freyer-Adam3,7, Sabina Ulbricht2,3, Ulrich John2,3, Christian Meyer2,3.   

Abstract

BACKGROUND: A pre-post pilot study was conducted to test the feasibility, acceptability, and potential effectiveness of a fully automatized computer-based intervention targeting hazardous drinking and depressiveness in proactively recruited health care patients (HCPs). To address the importance of the sample selection when testing interventions, HCPs were compared to media recruited volunteers (MVs).
METHOD: In a multicenter screening program 2,773 HCPs were screened for hazardous drinking and depressive symptoms. MVs were recruited via media solicitation. Over a period of 6 months, study participants received 6 individualized counseling letters and weekly short messages. Pre-post data were analyzed for 30 participants (15 HCPs, 15 MVs). Intervention acceptability was assessed in post-intervention interviews conducted with 32 study participants.
RESULTS: MVs showed higher problem severity and motivation to change than HCPs. Over the course of the intervention both subsamples reduced regular binge drinking (HCPs: p = 0.016; MVs: p = 0.031) and depressiveness (HCPs: p = 0.020; MVs: p < 0.001). MVs further reduced average daily alcohol consumption (p = 0.034). The intervention received positive ratings from both subsamples, the alcohol module was rated more favorably by MVs than by HCPs (p = 0.012). Subsamples further differed in terms of intervention usage (p = 0.013).
CONCLUSION: The intervention was technically and logistically feasible, well accepted, and may have the potential to reduce hazardous drinking and depressive symptoms in different populations. Subsamples differed in terms of problem severity, motivation to change, intervention usage, pre-post changes, and attitudes toward the intervention, showing that intervention development should involve the intended target populations to avoid biased conclusions on intervention effectiveness and acceptability.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Computer-based intervention; Computer-generated feedback; Depression; Expert system; Hazardous drinking; Health care; Orbit model; Proactive recruitment

Mesh:

Year:  2019        PMID: 30917380     DOI: 10.1159/000499040

Source DB:  PubMed          Journal:  Eur Addict Res        ISSN: 1022-6877            Impact factor:   3.015


  4 in total

Review 1.  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

2.  Proactive automatised lifestyle intervention (PAL) in general hospital patients: study protocol of a single-group trial.

Authors:  Jennis Freyer-Adam; Filipa Krolo; Anika Tiede; Christian Goeze; Kornelia Sadewasser; Marie Spielmann; Kristian Krause; Ulrich John
Journal:  BMJ Open       Date:  2022-09-19       Impact factor: 3.006

3.  Longitudinal measurement invariance of the patient health questionnaire in a German sample.

Authors:  Anne Moehring; Diana Guertler; Kristian Krause; Gallus Bischof; Hans-Juergen Rumpf; Anil Batra; Susanne Wurm; Ulrich John; Christian Meyer
Journal:  BMC Psychiatry       Date:  2021-08-04       Impact factor: 3.630

4.  Digital Interventions for People With Co-Occurring Depression and Problematic Alcohol Use: A Systematic Review and Meta-Analysis.

Authors:  Maria J E Schouten; Carolien Christ; Jack J M Dekker; Heleen Riper; Anna E Goudriaan; Matthijs Blankers
Journal:  Alcohol Alcohol       Date:  2022-01-08       Impact factor: 2.826

  4 in total

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