Zhang Ning Jackie, Unruh Lynn, Wan Thomas T H
Doctoral Program in Public Affairs, College of Health and Public Affairs, University of Central Florida, Orlando, FL, USA.
Health Serv Res. 2008 Jun;43(3):1043-61. doi: 10.1111/j.1475-6773.2007.00798.x.
To assess the impact of recent Medicare prospective payment system (PPS) changes on efficiency in skilled nursing homes.
DATA SOURCE/STUDY SETTING: Medicare Cost Reports (MCR), On-line Survey Certification and Reporting System (OSCAR), Area Resource Files (ARF), a Centers for Medicare and Medicaid Services (CMS) hospital wage index website, a Consumer Price Index (CPI) database, and a survey of state Medicaid reimbursement rates. The sample was 8,361 nursing homes in the Medicare Cost Report databases from the years 1997 to 2003.
Data-envelopment analyses (DEA) calculated efficiency scores for three separate DEA models: unadjusted, acuity-adjusted, and acuity-and-quality-adjusted efficiency. The efficiency scores from these models were regressed on the Medicare PPS changes (the Balanced Budget Act [BBA], the Balanced Budget Refinement Act [BBRA] and the Benefits Improvement and Protection Act) and other organizational and market explanatory variables using a panel-data truncated regression.
Mean values for all efficiency measures decreased over time, the acuity-quality-adjusted efficiency measures decreasing the most. All policy variables were significantly negatively related to all efficiency measures. Higher nurse staffing was negatively related to efficiency in all but the acuity-quality-adjusted model. Other explanatory variables varied in their relationships to the efficiency variables.
The results suggest that the reimbursement policy changes had a significantly negative impact on efficiency. Higher nurse staffing contributed to lower efficiency only when efficiency was not adjusted for quality. Various organizational and market factors also played significant roles in all efficiency models.
评估近期医疗保险预付费系统(PPS)的变化对专业护理院效率的影响。
数据来源/研究背景:医疗保险成本报告(MCR)、在线调查认证与报告系统(OSCAR)、区域资源文件(ARF)、医疗保险和医疗补助服务中心(CMS)医院工资指数网站、消费者物价指数(CPI)数据库以及对各州医疗补助报销率的调查。样本为1997年至2003年医疗保险成本报告数据库中的8361家护理院。
数据包络分析(DEA)为三个独立的DEA模型计算效率得分:未调整效率、病情严重程度调整效率以及病情严重程度和质量调整效率。使用面板数据截断回归,将这些模型的效率得分与医疗保险PPS的变化(《平衡预算法案》[BBA]、《平衡预算细化法案》[BBRA]和《福利改善与保护法案》)以及其他组织和市场解释变量进行回归分析。
所有效率指标的均值随时间下降,病情严重程度和质量调整效率指标下降幅度最大。所有政策变量与所有效率指标均呈显著负相关。除病情严重程度和质量调整模型外,较高的护士配备与效率呈负相关。其他解释变量与效率变量的关系各不相同。
结果表明,报销政策的变化对效率产生了显著负面影响。只有在未对效率进行质量调整时,较高的护士配备才会导致效率降低。各种组织和市场因素在所有效率模型中也发挥了重要作用。