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.
Authors
- Kathleen Rowan (ORCID: https://orcid.org/0000-0002-4205-9217)
- Shriram Parashuram
- Woolton Lee
- Bryan E Dowd (ORCID: https://orcid.org/0000-0002-3384-5144)
- Katie M White (ORCID: https://orcid.org/0000-0002-0925-0175)
- Roger Feldman
Institutions
- University of Minnesota (US)
- University of Minnesota Medical Center (US)
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