Searching for the Policy-Relevant Treatment Effect in Medicare’s ACO Evaluations

If CMMI intends to offer the model to a larger, but similar, group of volunteers, then the estimated treatment effect based on voluntary participants may be the most policy-relevant parameter. However, if the scaled-up population has different characteristics than the evaluation sample, perhaps due to mandatory participation, then the evaluator will need to employ pseudo-randomization appropriate for observational data.

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Publication Details

Journal
The American Journal of Managed Care
Published
2024-12-01
DOI
https://doi.org/10.37765/ajmc.2024.89647
Primary Topic
Healthcare Policy and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Searching for the Policy-Relevant Treatment Effect in Medicare’s ACO Evaluations

Kathleen Rowan, Shriram Parashuram, Woolton Lee, Bryan E Dowd et al.
The American Journal of Managed Care
Healthcare Policy and Management
article

Searching for the Policy-Relevant Treatment Effect in Medicare’s ACO Evaluations

Kathleen Rowan, Shriram Parashuram, Woolton Lee, Bryan E Dowd, Katie M White, Roger Feldman
article en

Abstract

If CMMI intends to offer the model to a larger, but similar, group of volunteers, then the estimated treatment effect based on voluntary participants may be the most policy-relevant parameter. However, if the scaled-up population has different characteristics than the evaluation sample, perhaps due to mandatory participation, then the evaluator will need to employ pseudo-randomization appropriate for observational data.

The American Journal of Managed CareVol. 30(Spec. No. 13)
University of Minnesota (US), University of Minnesota Medical Center (US)
Openalex Percentile: Top 72%
Healthcare Policy and Management
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