Andreea Panturu, Richard van Kleef, Frank Eijkenaar, Daniëlle Cattel
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引用次数: 0
Abstract
Prospective payments for health care providers require adequate risk adjustment (RA) to address systematic variation in patients' health care needs. However, the design of RA for provider payment involves many choices and difficult trade-offs between incentives for risk selection, incentives for cost control, and feasibility. Despite a growing literature, a comprehensive framework of these choices and trade-offs is lacking. This article aims to develop such a framework. Using literature review and expert consultation, we identify key design choices for RA in the context of provider payment and subsequently categorize these choices along two dimensions: (a) the choice of risk adjusters and (b) the choice of payment weights. For each design choice, we provide an overview of options, trade-offs, and key references. By making design choices and associated trade-offs explicit, our framework facilitates customizing RA design to provider payment systems, given the objectives and other characteristics of the context of interest.
医疗服务提供者支付系统中风险调整模型的设计框架》(A Framework for the Design of Risk-Adjustment Models in Health Care Provider Payment Systems)。
对医疗服务提供者的预期付费需要适当的风险调整(RA),以应对患者医疗需求的系统性变化。然而,医疗服务提供者付款的风险调整设计涉及许多选择,以及风险选择激励、成本控制激励和可行性之间的艰难权衡。尽管文献越来越多,但仍缺乏一个全面的框架来说明这些选择和权衡。本文旨在建立这样一个框架。通过文献回顾和专家咨询,我们确定了医疗服务提供者支付背景下 RA 的关键设计选择,并随后从两个维度对这些选择进行了分类:(a)风险调整器的选择和(b)支付权重的选择。对于每一种设计选择,我们都会提供有关选择、权衡和主要参考资料的概述。通过明确设计选择和相关权衡,我们的框架有助于根据目标和相关背景的其他特征,为医疗服务提供者支付系统定制 RA 设计。
期刊介绍:
Medical Care Research and Review (MCRR) is a peer-reviewed bi-monthly journal containing critical reviews of literature on organizational structure, economics, and the financing of health and medical care systems. MCRR also includes original empirical and theoretical research and trends to enable policy makers to make informed decisions, as well as to identify health care trends. This journal is a member of the Committee on Publication Ethics (COPE). Average time from submission to first decision: 25 days