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1.
Rand Health Q ; 9(1): 2, 2020 Jun.
Article in English | MEDLINE | ID: mdl-32742744

ABSTRACT

Through the Comprehensive Primary Care (CPC) and Comprehensive Primary Care Plus (CPC+) programs, the Centers for Medicare & Medicaid Services (CMS) has encouraged primary care practices to invest in "comprehensive primary care" capabilities. Empirical evidence suggests these capabilities are under-reimbursed or not reimbursed under prevailing fee-for-service payment models. To help CMS design alternative payment models (APMs) that reimburse the costs of these capabilities, the authors developed a method for estimating related practice expenses. Fifty practices, sampled for diversity across CPC+ participation status, geographic region, rural status, size, and parent-organization affiliation, completed the study. Researchers developed a mixed-methods strategy, beginning with interviews of practice leaders to identify their capabilities and the types of costs incurred. This was followed by researcher-assisted completion of a workbook tailored to each practice, which gathered related labor and nonlabor costs. In a final interview, practice leaders reviewed cost estimates and made any needed corrections before approval. A main goal was to address a persistent question faced by CMS: When practices reported widely divergent costs for a given capability, was that divergence due to practices having different prices for the same capability or from their having substantially different capabilities? The cost estimation method developed in this project collected detailed data on practice capabilities and their costs. However, the small sample did not allow quantitative estimation of the contributions of service level and pricing to the variation in overall costs. This cost estimation method, deployed on a larger scale, could generate robust data to inform new payment models aimed at incentivizing and sustaining comprehensive primary care.

2.
Rand Health Q ; 8(3): 3, 2019 May.
Article in English | MEDLINE | ID: mdl-31205803

ABSTRACT

Despite widespread adoption of electronic health records and increasing exchange of health care data, the benefits of interoperability and health information technology have been hampered by the inability to reliably match patients and their records. The Pew Charitable Trusts contracted with the RAND Corporation to investigate "patient-empowered" approaches to record matching-solutions that have some additional, voluntary role for patients beyond simply supplying demographics to their health care providers-and to select a promising solution for further development and pilot testing. After extensive consultation with a variety of experts, researchers did not identify a "silver bullet" or achieve consensus on a single solution. Instead, this study recommends adopting a three-stage approach that aims to improve the quality of identity information, establish new smartphone app functionality to facilitate bidirectional exchange of identity information and health care data between patients and providers, and create advanced functionality to further improve value. The study also suggests that because the solution contains multiple components involving diverse stakeholders, a governance mechanism likely will be needed to provide leadership, track pilot tests, and evaluation, as well as to convene key stakeholders to build consensus where consensus is needed.

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