Warchol Steven J, Monestime Judith P, Mayer Roger W, Chien Wen-Wen
Hospital Industry Data Institute in Jefferson City, MO.
Florida Atlantic University in Boca Raton, FL.
Perspect Health Inf Manag. 2019 Jul 1;16(Summer):1a. eCollection 2019 Summer.
On October 1, 2012, as part of the Affordable Care Act, the Centers for Medicare and Medicaid Services began to reduce payments to hospitals with excessive rehospitalization rates through the Hospital Readmissions Reduction Program. These financial penalties have intensified hospital leaders' efforts to implement strategies to reduce readmission rates. The purpose of this multiple case study was to explore organizational strategies that leaders use to reduce readmission rates in hospitals located in a non-Medicaid-expansion state. The data collection included semistructured interviews with 15 hospital leaders located in five metropolitan and rural hospitals in southwest Missouri. Consistent with prior research, the use of predictive analytics stratified by patient population was acknowledged as a key strategy to help reduce avoidable rehospitalization. Study findings suggest that leveraging data from the electronic health records to identify at-risk patients provides comprehensive health information to reduce readmissions. Hospital leaders also revealed the need to understand and address the health needs of their local population, including social determinants such as lack of access to transportation as well as food and housing.
2012年10月1日,作为《平价医疗法案》的一部分,医疗保险和医疗补助服务中心开始通过“医院再入院率降低计划”,减少对再入院率过高的医院的支付。这些经济处罚促使医院领导加大力度实施降低再入院率的策略。本多案例研究的目的是探讨在非医疗补助扩大州的医院中,领导们用于降低再入院率的组织策略。数据收集包括对位于密苏里州西南部五家大都市和农村医院的15位医院领导进行半结构化访谈。与先前的研究一致,按患者群体分层使用预测分析被认为是帮助减少可避免的再入院的关键策略。研究结果表明,利用电子健康记录中的数据识别高危患者,可提供全面的健康信息以降低再入院率。医院领导还透露,需要了解并满足当地居民的健康需求,包括诸如缺乏交通以及食品和住房等社会决定因素。