New York University Wagner School of Public Service, New York, NY.
Department of Health Policy and Management, Mailman School of Public Health, Columbia University, New York, NY.
Health Serv Res. 2018 Feb;53(1):120-137. doi: 10.1111/1475-6773.12642. Epub 2016 Dec 26.
To identify factors that promote the effective performance of accountable care organizations (ACOs) in the Medicare Shared Savings Program.
DATA SOURCES/STUDY SETTING: Data come from a convenience sample of 16 Medicare Shared Savings ACOs that were organized around large physician groups. We use claims data from the Center for Medicaid and Medicare Services and data from 60 interviews at three high-performing and three low-performing ACOs.
Explanatory sequential design, using qualitative data to account for patterns observed in quantitative assessment of ACO performance.
A total of 16 ACOs were first rank-ordered on measures of cost and quality of care; we then selected three high and three low performers for site visits; interview data were content-analyzed.
Results identify several factors that distinguish high- from low-performing ACOs: (1) collaboration with hospitals; (2) effective physician group practice prior to ACO engagement; (3) trusted, long-standing physician leaders focused on improving performance; (4) sophisticated use of information systems; (5) effective feedback to physicians; and (6) embedded care coordinators.
Shorter interventions can improve ACO performance-use of embedded care coordinators and local, regional health information systems; timely feedback of performance data. However, longer term interventions are needed to promote physician-hospital collaboration and skills of physician leaders. CMS and other stakeholders need realistic timelines for ACO performance.
确定在医疗保险共享储蓄计划(Medicare Shared Savings Program)中促进问责制医疗保健组织(Accountable Care Organizations,ACOs)有效运作的因素。
资料来源/研究场所:数据来自 16 个围绕大型医师团体组织的医疗保险共享储蓄 ACO 的便利样本。我们使用来自医疗补助和医疗保险服务中心(Centers for Medicaid and Medicare Services)的索赔数据,以及在三个表现出色的 ACO 和三个表现不佳的 ACO 进行的 60 次访谈的数据。
解释性顺序设计,使用定性数据来解释对 ACO 绩效进行定量评估时观察到的模式。
首先根据医疗成本和护理质量衡量标准对 16 个 ACO 进行排名;然后选择三个表现出色的和三个表现不佳的 ACO 进行现场访问;对访谈数据进行内容分析。
结果确定了几个可以区分表现出色和表现不佳的 ACO 的因素:(1)与医院的合作;(2)在参与 ACO 之前有效的医师团体实践;(3)专注于提高绩效的受信任、长期的医师领导者;(4)熟练使用信息系统;(5)向医师提供有效的反馈;以及(6)嵌入式护理协调员。
短期干预措施可以提高 ACO 的绩效——使用嵌入式护理协调员和本地、区域卫生信息系统;及时反馈绩效数据。然而,需要长期干预措施来促进医师-医院的合作和医师领导者的技能。CMS 和其他利益相关者需要为 ACO 的绩效设定现实的时间表。