Van Wilder Astrid, Bruyneel Luk, Cox Bianca, Claessens Fien, De Ridder Dirk, Vanhaecht Kris
Department of Public Health and Primary Care - Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Flanders, Belgium
Department of Public Health and Primary Care - Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Flanders, Belgium.
BMJ Open. 2025 Jan 9;15(1):e082489. doi: 10.1136/bmjopen-2023-082489.
To study between-hospital variation in mortality, readmissions and prolonged length of stay across Belgian hospitals.
A retrospective nationwide observational study.
Secondary and tertiary acute-care hospitals in Belgium.
We studied 4 560 993 hospital stays in 99 (98%) Belgian acute-care hospitals between 2016 and 2018.
Using generalised linear mixed models, we calculated hospital-specific and Major Diagnostic Category (MDC)-specific risk-adjusted in-hospital mortality, readmissions within 30 days and length of stay above the MDC-specific 90th percentile and assessed between-hospital variation through estimated variance components.
There was strong evidence of between-hospital variation in mortality, readmissions and prolonged length of stay across the vast majority of patient service lines. Overall, should hospitals with upper-quartile risk-standardised rates succeed in improving to the median level, a yearly 4076 hospital deaths, 3671 readmissions and 15 787 long patient stays could potentially be avoided in those hospitals. Our analysis revealed a select set of 'high-impact-opportunity hospitals' characterised by poor performance across outcomes and across a large number of MDCs.
Analysis of between-hospital variation highlights important differences in patient outcomes that are not explained by known patient or hospital characteristics. Identifying 'high-impact-opportunity hospitals' can help government inspection bodies and hospital managers to establish targeted audits and inspections to generate effective quality improvement initiatives.
研究比利时各医院之间在死亡率、再入院率和住院时间延长方面的差异。
一项全国性回顾性观察研究。
比利时的二级和三级急性护理医院。
我们研究了2016年至2018年期间比利时99家(98%)急性护理医院的4560993例住院病例。
使用广义线性混合模型,我们计算了医院特定和主要诊断类别(MDC)特定的风险调整后的院内死亡率、30天内再入院率以及住院时间超过MDC特定第90百分位数的情况,并通过估计方差成分评估医院间差异。
有充分证据表明,绝大多数患者服务线路在死亡率、再入院率和住院时间延长方面存在医院间差异。总体而言,如果风险标准化率处于上四分位数的医院能够成功提升至中位数水平,那么这些医院每年可能避免4076例医院死亡、3671例再入院和15787例患者长期住院。我们的分析揭示了一组“高影响机会医院”,其特点是在多个结局指标和大量MDC中表现不佳。
对医院间差异的分析突出了患者结局的重要差异,这些差异无法用已知的患者或医院特征来解释。识别“高影响机会医院”有助于政府检查机构和医院管理人员开展有针对性的审计和检查,以制定有效的质量改进措施。