Evidence-Based Mental Health at Scale: Benchmarking Retrospective Cohort Study of a Digital Employee Benefits Program for Depression and Anxiety

Among a large and diverse sample, using a digital mental health benefit with a centralized system of care produces clinical outcomes in depression and anxiety significantly greater than what is typically observed through meta-analyses of psychotherapy. By using data to monitor, incentivize, and improve quality of care, the clinical outcomes outperform or equal benchmarks as a growing number of individuals across race, gender, and age access mental health care.

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Publication Details

Journal
Online Journal of Public Health Informatics
Published
2025-09-23
DOI
https://doi.org/10.2196/72999
Citations
3
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
4.63
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article

Evidence-Based Mental Health at Scale: Benchmarking Retrospective Cohort Study of a Digital Employee Benefits Program for Depression and Anxiety

Adam Mourad Chekroud, Matt Hawrilenko, Emily J Ward, Millard D. Brown
3 citations
Online Journal of Public Health Informatics
Digital Mental Health Interventions
4.63
article

Evidence-Based Mental Health at Scale: Benchmarking Retrospective Cohort Study of a Digital Employee Benefits Program for Depression and Anxiety

Adam Mourad Chekroud, Matt Hawrilenko, Emily J Ward, Millard D. Brown
article en
3 citations

Abstract

Among a large and diverse sample, using a digital mental health benefit with a centralized system of care produces clinical outcomes in depression and anxiety significantly greater than what is typically observed through meta-analyses of psychotherapy. By using data to monitor, incentivize, and improve quality of care, the clinical outcomes outperform or equal benchmarks as a growing number of individuals across race, gender, and age access mental health care.

Online Journal of Public Health InformaticsVol. 17
Yale University (US)
Openalex Percentile: Top 5%
Digital Mental Health Interventions
4.63
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