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2009年至2015年医院及市场特征与30天再入院率的关联

Association of hospital and market characteristics with 30-day readmission rates from 2009 to 2015.

作者信息

Tajeu Gabriel S, Davlyatov Ganisher, Becker David, Weech-Maldonado Robert, Kazley Abby Swanson

机构信息

Department of Health Services Administration and Policy, Temple University, Philadelphia, PA, USA.

Department of Health Administration and Policy, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

出版信息

SAGE Open Med. 2024 Jan 18;12:20503121231220815. doi: 10.1177/20503121231220815. eCollection 2024.

Abstract

OBJECTIVES

The US government implemented the Hospital Readmission Reduction Program on 1 October 2012 to reduce readmission rates through financial penalties to hospitals with excessive readmissions. We conducted a pooled cross-sectional analysis of US hospitals from 2009 to 2015 to determine the association of the Hospital Readmission Reduction Program with 30-day readmissions.

METHODS

We utilized multivariable linear regression with year and state fixed effects. The model was adjusted for hospital and market characteristics lagged by 1 year. Interaction effects of hospital and market characteristics with the Hospital Readmission Reduction Program indicator variable was also included to assess whether associations of Hospital Readmission Reduction Program with 30-day readmissions differed by these characteristics.

RESULTS

In multivariable adjusted analysis, the main effect of the Hospital Readmission Reduction Program was a 3.80 percentage point ( < 0.001) decrease in readmission rates in 2013-2015 relative to 2009-2012. Hospitals with lower readmission rates overall included not-for-profit and government hospitals, medium and large hospitals, those in markets with a larger percentage of Hispanic residents, and population 65 years and older. Higher hospital readmission rates were observed among those with higher licensed practical nurse staffing ratio, larger Medicare and Medicaid share, and less competition. Statistically significant interaction effects between hospital/market characteristics and the Hospital Readmission Reduction Program on the outcome of 30-day readmission rates were present. Teaching hospitals, rural hospitals, and hospitals in markets with a higher percentage of residents who were Black experienced larger decreases in readmission rates. Hospitals with larger registered nurse staffing ratios and in markets with higher uninsured rate and percentage of residents with a high school education or greater experienced smaller decreases in readmission rates.

CONCLUSION

Findings of the current study support the effectiveness of the Hospital Readmission Reduction Program but also point to the need to consider the ability of hospitals to respond to penalties and incentives based on their characteristics during policy development.

摘要

目标

美国政府于2012年10月1日实施了医院再入院率降低计划,通过对再入院率过高的医院进行经济处罚来降低再入院率。我们对2009年至2015年的美国医院进行了汇总横断面分析,以确定医院再入院率降低计划与30天再入院率之间的关联。

方法

我们采用了具有年份和州固定效应的多变量线性回归。该模型针对滞后1年的医院和市场特征进行了调整。还纳入了医院和市场特征与医院再入院率降低计划指标变量的交互作用,以评估医院再入院率降低计划与30天再入院率之间的关联是否因这些特征而有所不同。

结果

在多变量调整分析中,医院再入院率降低计划的主要影响是,相对于2009 - 2012年,2013 - 2015年的再入院率下降了3.80个百分点(<0.001)。总体再入院率较低的医院包括非营利性和政府医院、中型和大型医院、西班牙裔居民比例较高的市场中的医院,以及65岁及以上人口的医院。在持牌执业护士人员配备比例较高、医疗保险和医疗补助份额较大以及竞争较少的医院中,观察到较高的医院再入院率。医院/市场特征与医院再入院率降低计划之间在30天再入院率结果上存在统计学显著的交互作用。教学医院、农村医院以及黑人居民比例较高的市场中的医院,其再入院率下降幅度更大。注册护士人员配备比例较大的医院,以及 uninsured 率较高且居民高中及以上学历比例较高的市场中的医院,其再入院率下降幅度较小。

结论

本研究结果支持医院再入院率降低计划的有效性,但也指出在政策制定过程中需要考虑医院根据自身特征应对处罚和激励措施的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5432/10798130/426b08918918/10.1177_20503121231220815-fig1.jpg

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