4.6 Article

Gainsharing Contracts for CMS' Episode-Based Payment Models

Journal

PRODUCTION AND OPERATIONS MANAGEMENT
Volume 30, Issue 5, Pages 1290-1312

Publisher

WILEY
DOI: 10.1111/poms.13322

Keywords

health care contracts; gainsharing; episode-based payment models; comprehensive care for joint replacement model

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CMS has introduced several Episode-based Payment Models where hospitals are paid based on historical norms and reconciled against a target price. Hospitals may realize gains or losses from internal operations and incentivize physicians to improve quality and reduce costs by sharing gains and losses. The presence of stop-loss and stop-gain provisions can impact the optimal gainsharing function and the amount of gains and losses that hospitals share.
The Centers for Medicare and Medicaid Services (CMS) has introduced several Episode-based Payment Models. Episodes are combinations of pre-acute, acute, and post-acute services for particular medical conditions. During the year, CMS pays hospitals according to historical norms. At the end of the year, these payments are reconciled against a target price, resulting in either a gain or a loss for the hospital. The hospital may also realize gains or losses from its internal operations. It may incentivize physicians to select certain treatment levels that improve quality and reduce costs by offering to share gains and losses. CMS has placed restrictions on what gains or losses may be shared and implemented stop-loss and stop-gain (SLSG) provisions for the hospital and the physicians. In this study, we consider a class of affine gainsharing functions that calculate a physician's per-episode share based on both the aggregate performance across all physicians, and the cost and quality outcomes achieved by that physician. We show that when there are no sharing restrictions and no SLSG provisions, an optimal gainsharing function lies in the class of affine functions. In contrast, when there are SLSG constraints, the contract design problem is analytically challenging. Therefore, we perform a series of numerical experiments, which reveal that the hospital SLSG provisions, the maximum savings potential, and the hospital's risk preferences determine the amount of gains and losses that the hospitals share and the resulting treatment levels. From the CMS perspective, we show that SLSG constraints matter more to hospitals with higher historical average billing and higher risk aversion.

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