he Impact of Enhanced Behavioral Health Services on Total Healthcare Costs Among US Employers: A Site-Level Analysis of 19 Cohort Studies

Background: The return on investment (ROI) of mental health care is a critical metric in an era of cost-conscious healthcare decision-making. However, selective reporting of positive study results may inflate ROI estimates. Objective: To quantify the mean and variation in employer-level ROI outcomes for a comprehensive behavioral health benefit program. Methods: Data were obtained from 19 employer-specific studies conducted between May 2023 and December 2024. Sources included medical claims data spanning 12 months pre- and post-program launch, and program billing records of clinical and nonclinical costs. Studies were included if they were conducted by a single behavioral health benefit where the full sample of studies was known. The population included 19 US employers where employees and dependents received up to 12 free psychotherapy or medication management sessions. All studies used the same inclusion and exclusion criteria, retrospective matched cohort design, and difference-in-differences analysis. Data were abstracted following PRISMA guidelines. ROI was estimated using a difference-in-differences model to control for baseline medical spending and pooled using inverse variance weighting with a random effects structure. The primary outcome was the ROI multiple, defined as the ratio of gross per-member-per-month savings to total program spending. Results: The meta-analysis included 42 148 participants (14 645 program users and 27 503 matched controls) across a range of employer sizes and industries. The pooled ROI multiple was 2.3 (95% CI, 1.9-2.8), corresponding to net savings of $159 per member per month (95% CI, $111-$207). Significant heterogeneity was observed (I² = 67.8%; t² = 0.646; P < .001). A sensitivity analysis including nonclinical costs yielded a pooled ROI of 1.8. Conclusion: This meta-analysis, the largest of its kind, demonstrates that a centralized behavioral health benefit can consistently generate net savings across varied employer settings. These findings provide robust evidence to support the adoption of comprehensive mental health programs as an effective strategy for reducing overall medical spending in employer-sponsored health plans.

Authors

Publication Details

Journal
Journal of health economics and outcomes research
Published
2025-01-01
DOI
https://doi.org/10.36469/jheor.2025.138634
Citations
2
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
4.88
Controls
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article

he Impact of Enhanced Behavioral Health Services on Total Healthcare Costs Among US Employers: A Site-Level Analysis of 19 Cohort Studies

Adam Mourad Chekroud, Matt Hawrilenko, Emily J Ward, Millard D. Brown et al.
2 citations
Journal of health economics and outcomes research
Mental Health Treatment and Access
4.88
article

he Impact of Enhanced Behavioral Health Services on Total Healthcare Costs Among US Employers: A Site-Level Analysis of 19 Cohort Studies

Adam Mourad Chekroud, Matt Hawrilenko, Emily J Ward, Millard D. Brown, Casey Smolka, RuthAnne Kavelaars
article en
2 citations

Abstract

Background: The return on investment (ROI) of mental health care is a critical metric in an era of cost-conscious healthcare decision-making. However, selective reporting of positive study results may inflate ROI estimates. Objective: To quantify the mean and variation in employer-level ROI outcomes for a comprehensive behavioral health benefit program. Methods: Data were obtained from 19 employer-specific studies conducted between May 2023 and December 2024. Sources included medical claims data spanning 12 months pre- and post-program launch, and program billing records of clinical and nonclinical costs. Studies were included if they were conducted by a single behavioral health benefit where the full sample of studies was known. The population included 19 US employers where employees and dependents received up to 12 free psychotherapy or medication management sessions. All studies used the same inclusion and exclusion criteria, retrospective matched cohort design, and difference-in-differences analysis. Data were abstracted following PRISMA guidelines. ROI was estimated using a difference-in-differences model to control for baseline medical spending and pooled using inverse variance weighting with a random effects structure. The primary outcome was the ROI multiple, defined as the ratio of gross per-member-per-month savings to total program spending. Results: The meta-analysis included 42 148 participants (14 645 program users and 27 503 matched controls) across a range of employer sizes and industries. The pooled ROI multiple was 2.3 (95% CI, 1.9-2.8), corresponding to net savings of $159 per member per month (95% CI, $111-$207). Significant heterogeneity was observed (I² = 67.8%; t² = 0.646; P < .001). A sensitivity analysis including nonclinical costs yielded a pooled ROI of 1.8. Conclusion: This meta-analysis, the largest of its kind, demonstrates that a centralized behavioral health benefit can consistently generate net savings across varied employer settings. These findings provide robust evidence to support the adoption of comprehensive mental health programs as an effective strategy for reducing overall medical spending in employer-sponsored health plans.

Journal of health economics and outcomes research
Reduced inequalities
Openalex Percentile: Top 6%
Mental Health Treatment and Access
4.88
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