Heterogeneity of Treatment Effects in Internet- and Mobile-Based Interventions for Depression

Author:

Terhorst Yannik12,Kaiser Tim3,Brakemeier Eva-Lotta4,Moshe Isaac5,Philippi Paula6,Cuijpers Pim7,Baumeister Harald1,Sander Lasse Bosse8

Affiliation:

1. Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University Ulm, Ulm, Germany

2. Department of Psychology, Ludwig Maximilian University of Munich, Munich, Germany

3. Methods and Evaluation/Quality Assurance, Freie Universität Berlin, Berlin, Germany

4. Department of Clinical Psychology and Psychotherapy, University Greifswald, Greifswald, Germany

5. Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland

6. Department of Clinical Child and Adolescent Psychology and Psychotherapy, Bergische Universität Wuppertal, Wuppertal, Germany

7. Department of Clinical, Neuro-, and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands

8. Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany

Abstract

ImportanceWhile the effects of internet- and mobile-based interventions (IMIs) for depression have been extensively studied, no systematic evidence is available regarding the heterogeneity of treatment effects (HTEs), indicating to what extent patient-by-treatment interactions exist and personalized treatment models might be necessary.ObjectiveTo investigate the HTEs in IMIs for depression as well as their efficacy and effectiveness.Data SourcesA systematic search in Embase, MEDLINE, Central, and PsycINFO for randomized clinical trials and supplementary reference searches was conducted on October 13, 2019, and updated March 25, 2022. The search string included various terms related to digital psychotherapy, depression, and randomized clinical trials.Study SelectionTitles, abstracts, and full texts were reviewed by 2 independent researchers. Studies of all populations with at least 1 intervention group receiving an IMI for depression and at least 1 control group were eligible, if they assessed depression severity as a primary outcome and followed a randomized clinical trial (RCT) design.Data Extraction and SynthesisThis study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines. Risk of bias was evaluated using the Cochrane Risk of Bias Tool. HTE was investigated using logarithmic variance ratios (lnVR) and effect sizes using Hedges g. Three-level bayesian meta-regressions were conducted.Main Outcomes and MeasuresHeterogeneity of treatment effects was the primary outcome of this study; magnitudes of treatment effect sizes were the secondary outcome. Depression severity was measured by different self-report and clinician-rated scales in the included RCTs.ResultsThe systematic review of 102 trials included 19 758 participants (mean [SD] age, 39.9 [10.58] years) with moderate depression severity (mean [SD] in Patient Health Questionnaire–9 score, 12.81 [2.93]). No evidence for HTE in IMIs was found (lnVR = −0.02; 95% credible interval [CrI], −0.07 to 0.03). However, HTE was higher in more severe depression levels (β̂ = 0.04; 95% CrI, 0.01 to 0.07). The effect size of IMI was medium (g = −0.56; 95% CrI, −0.46 to −0.66). An interaction effect between guidance and baseline severity was found (β̂ = −0.24, 95% CrI, −0.03 to −0.46).Conclusions and RelevanceIn this systematic review and meta-analysis of RCTs, no evidence for increased patient-by-treatment interaction in IMIs among patients with subthreshold to mild depression was found. Guidance did not increase effect sizes in this subgroup. However, the association of baseline severity with HTE and its interaction with guidance indicates a more sensitive, guided, digital precision approach would benefit individuals with more severe symptoms. Future research in this population is needed to explore personalization strategies and fully exploit the potential of IMI.

Publisher

American Medical Association (AMA)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3