医院获得性疾病对再入院风险的影响:住院时间的中介作用

Bogdan C. Bichescu, Haileab Hilafu
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摘要

问题定义:医院获得性疾病(HACs)是指住院期间发生的不良并发症。HACs可能危及患者安全和护理结果,并导致不必要的社会经济成本。虽然医院有望减少HACs的发生率,但很少有研究调查了HACs对其他临床结果和医院绩效指标的影响。本研究通过探索暴露于一组目标HACs、住院时间(LOS)表现和30天再入院风险之间的关系,为文献做出了贡献。方法/结果:为了估计HACs的效果,我们对2010-2014年美国佛罗里达州住院的心脏病发作、心力衰竭和肺炎患者进行了计量经济学分析。我们将LOS绩效定义为LOS与几何平均LOS (GMLOS)的偏差,GMLOS是由医疗保险和医疗补助服务中心设定的标准LOS。首先,我们发现接触HACs导致再入院几率增加37%,LOS增加79%。其次,LOS的增加与再入院风险的降低有关,对于暴露于HACs的患者,这种降低更为明显。第三,LOS表现在hacs -再入院风险关系中起中介作用,患者的LOS可以完全抑制HAC患者再入院风险的增加。第四,我们发现,对于暴露于HACs的患者,当LOS比GMLOS长65%时,较长LOS的好处几乎完全被抵消了。管理意义:我们证明,当解决HACs的后果时,临床医生也间接面临减少再入院和控制成本之间的权衡。我们认为LOS是医院控制下的一种潜在机制,可以减轻HACs对再入院风险的不利影响。因此,本研究为临床医生决定何时让暴露于HACs的患者出院提供了指导。补充材料:在线附录可在https://doi.org/10.1287/msom.2022.0088上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Hospital-Acquired Conditions on Readmission Risk: The Mediating Role of Length of Stay
Problem definition: Hospital-acquired conditions (HACs) represent undesirable complications that occur during a hospital stay. HACs can compromise patient safety and care outcomes and result in unnecessary socio-economic costs. Although hospitals are expected to reduce the incidence of HACs, few studies have examined the implications of HACs on other clinical outcomes and measures of hospital performance. This study contributes to the literature by exploring the relationship between exposure to a set of target HACs, length of stay (LOS) performance, and 30-day readmission risk. Methodology/results: To estimate the effects of HACs, we conduct econometric analyses using patient-visit-level data for heart attack, heart failure, and pneumonia patients hospitalized in the U.S. state of Florida during 2010–2014. We define LOS performance as the deviation of LOS from the Geometric Mean LOS (GMLOS), a standard LOS set by the Centers for Medicare and Medicaid Services. First, we find that exposure to HACs leads to a 37% increase in the odds of readmission and a 79% increase in LOS. Second, an increase in LOS is associated with a decrease in readmission risk, and this decrease is stronger for patients exposed to HACs. Third, LOS performance mediates the HACs-readmission risk relationship, such that the increase in the readmission risk of a HAC patient can be fully suppressed by the patient’s LOS. Fourth, we find that for patients exposed to HACs, the benefits of a longer LOS are almost entirely capitalized when the LOS becomes 65% longer than the GMLOS. Managerial implications: We demonstrate that, when addressing the consequences of HACs, clinicians also face indirectly a trade-off between reducing readmissions and controlling costs. We proffer LOS as a potential mechanism under hospitals’ control for mitigating the adverse effects of HACs on readmission risk. Thus, this study offers guidance to clinicians having to decide when to discharge patients with exposure to HACs. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0088 .
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