Assessing 30-day avoidable readmission rates: Is it an appropriate tool to manage emergency department quality of care?

Agri Fabio, Eggli Yves, F. Dami
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Abstract

Objective: Quality indicators, based on administrative data, are being increasingly used to assess avoidable hospital readmission rates. Their potential to identify areas for improvement at low cost is attractive, but their performance in emergency departments (EDs) has been criticised. Methods: Hospital readmissions were categorised as potentially avoidable or non-avoidable, by a computerised algorithm (SQLape®, version 2016 - Striving for Quality Level and analysing of patient expenditures). Half-yearly rates were reported between July 2015 and June 2016. Two senior physicians conducted a medical record review on 100 randomly selected cases from an ED, flagged as potentially avoidable readmissions (PAR). Results were then discussed with the algorithm’s designer. Results: The algorithm screened 2,182 eligible emergency visits - 105 cases (4.8%), were deemed potentially avoidable by the algorithm. Among 100 randomly selected cases, nine exclusions were due to coding issues and four due to false positives. Overall (N = 87), 20/87 (23%) of readmissions were directly related to sole emergency care, 31/87 (36%) related to healthcare providers other than the ED, and 23/87 (26%) were of mixed provision, while 13/87 (15%) were attributed to the course of the disease. Conclusions: The study confirms the need for a better understanding of the algorithm’s measurement and of its reported results. Careful interpretation is required before a sound conclusion can be made. Indeed, it is apparent that the 30-day PAR quality indicator rate reflects a wider parameter of care than hospitals alone, who understandably tend to concentrate on their own, direct liability of care. In particular the 30-day PAR quality indicator is not well-suited to evaluate ED performance.
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评估30天可避免再入院率:它是管理急诊科护理质量的合适工具吗?
目的:基于行政数据的质量指标正越来越多地用于评估可避免的医院再入院率。它们以低成本确定改进领域的潜力是有吸引力的,但它们在急诊科(ed)的表现受到了批评。方法:通过计算机化算法(SQLape®,版本2016 -争取质量水平和分析患者支出)将医院再入院分为潜在可避免和不可避免。2015年7月至2016年6月期间报告的半年费率。两名资深医生对从急诊科随机选择的100例病例进行了医疗记录审查,这些病例被标记为潜在可避免再入院(PAR)。然后与算法设计者讨论结果。结果:该算法筛选了2182例符合条件的急诊就诊,其中105例(4.8%)被认为是可以避免的。在随机选择的100例病例中,9例因编码问题而被排除,4例因假阳性而被排除。总体而言(N = 87), 20/87(23%)的再入院与单一急诊直接相关,31/87(36%)与急诊科以外的医疗服务提供者相关,23/87(26%)为混合提供,13/87(15%)归因于病程。结论:该研究证实需要更好地理解算法的测量及其报告的结果。在得出合理的结论之前,需要仔细的解释。事实上,30天PAR质量指标率显然反映了比医院本身更广泛的护理参数,医院倾向于关注自己的直接护理责任,这是可以理解的。特别是30天PAR质量指标不太适合评价ED的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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