Medicare Advantage plan characteristics associated with sorting their beneficiaries to providers that generate fewer avoidable hospital stays

IF 3.1 2区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Health Services Research Pub Date : 2024-05-29 DOI:10.1111/1475-6773.14335
Jianhui Xu PhD, Kelly E. Anderson PhD, Angela Liu PhD, Daniel Polsky PhD
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Abstract

Objective

To examine whether certain Medicare Advantage (MA) plan characteristics are associated with driving beneficiaries to providers that generate fewer avoidable hospital stays.

Data Sources

This paper primarily used 2018–2019 MA encounter data and traditional Medicare (TM) claims data for a nationally representative 20% sample of Medicare beneficiaries.

Study Design

For each plan design aspect—plan type, carrier, star rating, and network breadth—we estimated two adjusted Poisson regressions of avoidable hospital stays: one without clinician fixed effects and the other with. We calculated the difference between the coefficients to evaluate the extent to which patient sorting affected avoidable hospital stays relative to TM.

Data Extraction Methods

Our sample included Medicare beneficiaries 65 years and older who were continuously enrolled in either MA or TM during 2018–2019. Beneficiaries in our sample had one or more chronic, ambulatory care-sensitive conditions.

Principal Findings

Patient sorting can be attributed to certain characteristics of plan design aspects. For plan type, HMOs account for 86%, with PPOs accounting for only 14%. For carriers, Humana and smaller carriers account for 89%. For star ratings, high-star contracts account for 94%, with other stars only accounting for 6%. By network design, narrow network plan-counties explained 20% of the patient sorting effect.

Conclusions

While MA plans were found to be associated with driving beneficiaries to providers that generate fewer avoidable hospital stays, the effect is not homogeneous across the characteristics of MA plans. HMOs and high-star contracts are drivers of this MA phenomenon.

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与将受益人分流到可避免住院次数较少的医疗服务提供者相关的医疗保险优势计划特征。
目的:研究医疗保险优势计划(MA)的某些特征是否与减少可避免的住院次数的医疗服务提供者有关:研究某些医疗保险优势(MA)计划特征是否与促使受益人选择可避免住院次数较少的医疗服务提供者有关:本文主要使用 2018-2019 年 MA 遭遇数据和传统医疗保险(TM)理赔数据,这些数据来自具有全国代表性的 20% 医疗保险受益人样本:对于每个计划设计方面--计划类型、承保人、星级评定和网络广度--我们估算了两个可避免住院时间的调整泊松回归:一个没有临床医生固定效应,另一个有固定效应。我们计算了系数之间的差异,以评估患者分类相对于 TM 对可避免住院时间的影响程度:我们的样本包括 2018-2019 年期间连续加入 MA 或 TM 的 65 岁及以上医疗保险受益人。样本中的受益人患有一种或多种对门诊护理敏感的慢性疾病:患者分类可归因于计划设计方面的某些特征。就计划类型而言,HMO 占 86%,PPO 仅占 14%。在承保人方面,Humana 和较小的承保人占 89%。在星级评定方面,高星级合同占 94%,其他星级仅占 6%。从网络设计来看,窄网络计划-县占患者分拣效应的 20%:结论:虽然医疗保险计划与促使受益人选择可避免住院次数较少的医疗服务提供者有关,但医疗保险计划的不同特征所产生的效果并不一致。HMO 和高星级合同是这种医疗保险现象的驱动因素。
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来源期刊
Health Services Research
Health Services Research 医学-卫生保健
CiteScore
4.80
自引率
5.90%
发文量
193
审稿时长
4-8 weeks
期刊介绍: Health Services Research (HSR) is a peer-reviewed scholarly journal that provides researchers and public and private policymakers with the latest research findings, methods, and concepts related to the financing, organization, delivery, evaluation, and outcomes of health services. Rated as one of the top journals in the fields of health policy and services and health care administration, HSR publishes outstanding articles reporting the findings of original investigations that expand knowledge and understanding of the wide-ranging field of health care and that will help to improve the health of individuals and communities.
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