Dan M Wood, Brad Beauvais, Rodney X Sturdivant, Forest S Kim
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The multiple linear regression model with random effects analysis produced a significant (<em>p</em> < 0.001) interaction term between hospitals expected to be penalized in 2013 and each year evaluated in the study (− 0.412 estimate) confirming decreases in HAI scores, and overall decreases in HAIs across the years of the study. Notably, 98% of hospitals in the worst-performing, expected to be financially penalized quartile from 2013, were found to have decreased their HAIs in their facilities, while only 38.8% of hospital in the performing, non-penalized quartiles showed decreases in HAIs across their facilities, by 2020.<br/><strong>Conclusion:</strong> Our research indicates that implementing financial disincentives through reimbursement reductions could potentially decrease the incidence of HAIs. 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引用次数: 0
摘要
目的:本研究探讨了医院获得性病症减少计划(HACRP)中的 CMS 补偿性经济处罚对全美医院获得性感染(HAI)的影响。方法:采用多元线性回归模型和随机效应分析,通过差异研究设计对美国 2896 家医院的医院级数据进行评估,以检查 2013 至 2020 日历年 HACRP 下受到或未受到经济处罚的医院之间的 HAI:本研究显示,从计划实施前的 HAC 总分到最近审查年份的 HAC 总分之间存在显著差异,这验证了 HACRP 的有效性,并显示在本研究评估的年份中,总体 HAI 有所减少。采用随机效应分析的多元线性回归模型显示,预计在 2013 年受到处罚的医院与研究中评估的每一年之间存在显著的交互项(p < 0.001)(- 0.412 估计值),这证实了 HAI 分数的下降以及研究中各年 HAI 的总体下降。值得注意的是,从 2013 年起,在表现最差、预计将受到经济处罚的四分位数中,98% 的医院发现其设施内的 HAIs 有所下降,而在表现良好、未受到经济处罚的四分位数中,只有 38.8% 的医院发现到 2020 年其设施内的 HAIs 有所下降:我们的研究表明,通过减少报销实施经济抑制措施有可能降低 HAIs 的发生率。我们的研究进一步表明,每年对所有医院的 HAIs 实施经济惩罚和激励措施,可能会使整个美国医疗系统的 HAIs 显著减少:HACRP、医疗保险、报销、CMS PSI-90 评分
Evaluating the Effect of Financial Penalty on Hospital-Acquired Infections
Purpose: This study explores the effects of CMS reimbursement financial penalties from the Hospital-Acquired Condition Reduction Program (HACRP) on hospital-acquired infections (HAI) in hospitals across the United States. Methods: Hospital-level data for 2896 hospitals in the United States were evaluated using multiple linear regression models with random effects analysis through a difference-in-differences study design to examine HAIs under the HACRP between hospitals that were financially penalized or not from calendar years 2013 to 2020. Results: This study showed significant differences from the pre-program Total HAC scores to the most recent reviewed year, validating the efficacy of the HACRP, and showing a reduction of overall HAIs over the years evaluated in the study. The multiple linear regression model with random effects analysis produced a significant (p < 0.001) interaction term between hospitals expected to be penalized in 2013 and each year evaluated in the study (− 0.412 estimate) confirming decreases in HAI scores, and overall decreases in HAIs across the years of the study. Notably, 98% of hospitals in the worst-performing, expected to be financially penalized quartile from 2013, were found to have decreased their HAIs in their facilities, while only 38.8% of hospital in the performing, non-penalized quartiles showed decreases in HAIs across their facilities, by 2020. Conclusion: Our research indicates that implementing financial disincentives through reimbursement reductions could potentially decrease the incidence of HAIs. Our study further suggests that incorporating financial penalties and incentives for HAIs annually across all hospitals may lead to significant reductions in HAIs throughout the US healthcare system.