Department of Emergency Medicine, University of Washington School of Medicine.
Department of Health Systems and Population Health, School of Public Health, University of Washington.
Med Care. 2023 Nov 1;61(11):779-786. doi: 10.1097/MLR.0000000000001920. Epub 2023 Sep 15.
To determine the extent to which counting observation stays changes hospital performance on 30-day readmission measures.
This was a retrospective study of inpatient admissions and observation stays among fee-for-service Medicare enrollees in 2017. We generated 3 specifications of 30-day risk-standardized readmissions measures: the hospital-wide readmission (HWR) measure utilized by the Centers for Medicare and Medicaid Services, which captures inpatient readmissions within 30 days of inpatient discharge; an expanded HWR measure, which captures any unplanned hospitalization (inpatient admission or observation stay) within 30 days of inpatient discharge; an all-hospitalization readmission (AHR) measure, which captures any unplanned hospitalization following any hospital discharge (observation stays are included in both the numerator and denominator of the measure). Estimated excess readmissions for hospitals were compared across the 3 measures. High performers were defined as those with a lower-than-expected number of readmissions whereas low performers had higher-than-expected or excess readmissions. Multivariable logistic regression identified hospital characteristics associated with worse performance under the measures that included observation stays.
Our sample had 2586 hospitals with 5,749,779 hospitalizations. Observation stays ranged from 0% to 41.7% of total hospitalizations. Mean (SD) readmission rates were 16.6% (5.4) for the HWR, 18.5% (5.7) for the expanded HWR, and 17.9% (5.7) in the all-hospitalization readmission measure. Approximately 1 in 7 hospitals (14.9%) would switch from being classified as a high performer to a low performer or vice-versa if observation stays were fully included in the calculation of readmission rates. Safety-net hospitals and those with a higher propensity to use observation would perform significantly worse.
Fully incorporating observation stays in readmission measures would substantially change performance in value-based programs for safety-net hospitals and hospitals with high rates of observation stays.
确定观察停留次数对 30 天再入院指标的医院绩效影响程度。
这是一项针对 2017 年按服务收费的医疗保险参保者住院和观察停留的回顾性研究。我们生成了 30 天风险标准化再入院指标的 3 个规范:医疗保险和医疗补助服务中心使用的医院范围再入院(HWR)指标,该指标捕获住院后 30 天内的住院再入院;扩展的 HWR 指标,捕获住院后 30 天内任何非计划性住院(住院入院或观察停留);全住院再入院(AHR)指标,捕获任何出院后(观察停留包括在该指标的分子和分母中)的非计划性住院。比较了这 3 个指标下医院的估计再入院过多情况。高绩效者定义为再入院人数低于预期,而低绩效者则为再入院人数高于预期或过多。多变量逻辑回归确定了包含观察停留的措施下与绩效较差相关的医院特征。
我们的样本包括 2586 家医院和 5749779 例住院患者。观察停留占总住院患者的比例从 0%到 41.7%不等。HWR 的平均(SD)再入院率为 16.6%(5.4),扩展 HWR 为 18.5%(5.7),全住院再入院率为 17.9%(5.7)。如果观察停留完全纳入再入院率的计算,大约每 7 家医院中就有 1 家(14.9%)会从被归类为高绩效医院转变为低绩效医院,或者反之亦然。保障性医院和观察停留率较高的医院的表现会显著恶化。
在基于价值的保障性医院和观察停留率较高的医院的计划中,完全将观察停留纳入再入院指标将极大地改变其绩效。