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医疗保险优势计划如何利用数据进行补充福利决策。

How Medicare Advantage plans use data for supplemental benefits decision-making.

机构信息

Netherlands Institute of Mental Health and Addiction, Da Costakade 45, 3521 VS, Utrecht, the Netherlands. Email:

出版信息

Am J Manag Care. 2022 Apr 1;28(4):e132-e139. doi: 10.37765/ajmc.2022.88866.

Abstract

OBJECTIVES

Health care payers are increasingly experimenting with interventions to address social risk factors. With enactment of the 2018 Bipartisan Budget Act, Medicare Advantage (MA) plans have new opportunities to offer supplemental benefits that are not "primarily health-related." This article presents findings from interviews conducted with executives from MA plans regarding plan decision-making processes related to new social risk factor benefits.

STUDY DESIGN

Semistructured qualitative interviews with MA plan leadership.

METHODS

A total of 63 plan representatives from 29 unique MA plans were interviewed about the rationale for social risk-related interventions and how data are used to inform benefits expansion decisions. This paper combines qualitative interview data from 2 separate studies with similar target groups and interview guides. Interview transcripts were qualitatively analyzed to examine underlying themes.

RESULTS

Three main themes emerged: (1) Plans use multiple data sources to determine how to target benefits; (2) evidence gaps hinder decision-making to expand or offer new supplemental benefits; and (3) in the absence of sufficient evidence, some plans have their own research and quality improvement processes to maximize effectiveness.

CONCLUSIONS

Findings provide insights about opportunities and challenges that MA plans face in making decisions related to supplemental benefits designed to address members' social risk factors. Barriers include collecting, generating, and analyzing data critical to informing investments. Results highlight the need to ensure interoperability of new and existing data sources, foster shared learning opportunities, and narrow evidence gaps about specific social care interventions to inform the design and implementation of effective supplemental benefits.

摘要

目的

医疗保健支付方越来越多地尝试采取干预措施来解决社会风险因素。随着 2018 年两党预算法案的颁布,医疗保险优势(MA)计划有了新的机会,可以提供非“主要与健康相关”的补充福利。本文介绍了对 MA 计划高管进行的有关新的社会风险因素福利计划决策过程的访谈结果。

研究设计

对 MA 计划领导层进行半结构化定性访谈。

方法

共有 29 家 MA 计划的 63 名计划代表接受了关于社会风险相关干预措施的基本原理以及如何使用数据来为福利扩展决策提供信息的采访。本文结合了针对具有相似目标群体和访谈指南的两个独立研究的定性访谈数据。对访谈记录进行了定性分析,以检验潜在主题。

结果

出现了三个主要主题:(1)计划使用多种数据源来确定如何定位福利;(2)证据差距阻碍了扩大或提供新的补充福利的决策;(3)在缺乏足够证据的情况下,一些计划有自己的研究和质量改进流程,以最大限度地提高效果。

结论

这些发现提供了有关 MA 计划在做出与旨在解决成员社会风险因素的补充福利相关的决策时所面临的机遇和挑战的见解。障碍包括收集、生成和分析对投资决策至关重要的数据。结果强调需要确保新的和现有的数据源的互操作性,促进共享学习机会,并缩小有关特定社会护理干预措施的证据差距,以为有效补充福利的设计和实施提供信息。

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