Anthony Yii, Isaac Fong, Sean Chee Hong Loh, Jansen Meng-Kwang Koh, Augustine Tee
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引用次数: 0
Abstract
Introduction: The 30-day readmission rate for chronic obstructive pulmonary disease (COPD) is a common performance metric but may be confounded by factors unrelated to quality of care. Our aim was to assess how sociodemographic factors, multimorbidity and frailty impact 30-day readmission risk after COPD hospitalisation, and whether risk adjustment alters interpretation of temporal trends.
Method: This is a retrospective analysis of administra-tive data from October 2017 to June 2023 from Changi General Hospital, Singapore. Multivariable mixed-effects logistic regression models were used to estimate unadjusted and risk-adjusted 30-day readmission odds. Covariates included age, sex, race, Charlson Comorbidity Index (CCI), Hospital Frailty Risk Score (HFRS) and year. Temporal trends in readmission risk were compared across unadjusted and adjusted models.
Results: Of the 2774 admissions, 749 (27%) resulted in 30-day readmissions. Higher CCI (CCI≥4 versus [vs] CCI=1: adjusted odds ratio [aOR] 2.00, 95% confidence interval [CI] 1.33-2.99, P=0.003; CCI 2-3 vs CCI=1: aOR 1.50, 95% CI 1.15-1.96, P=0.001) and higher HFRS (≥5 vs <5: aOR 1.29, 95% CI 1.01-1.65, P=0.04) were independently associated with increased readmission risk. While unadjusted analyses showed no significant temporal trends, the risk-adjusted model revealed a 32-35% reduction in readmission odds in 2021-2023 compared to baseline.
Conclusion: Multimorbidity and frailty significantly impact COPD readmissions. Risk adjustment revealed improvements in readmission risk not evident in unadjusted analyses, emphasising the importance of applying risk adjustments to ensure valid performance metrics.
慢性阻塞性肺疾病(COPD)的30天再入院率是一个常见的绩效指标,但可能被与护理质量无关的因素所混淆。我们的目的是评估社会人口因素、多发病和虚弱如何影响COPD住院后30天再入院风险,以及风险调整是否会改变对时间趋势的解释。方法:回顾性分析新加坡樟宜综合医院2017年10月至2023年6月的行政管理数据。多变量混合效应logistic回归模型用于估计未调整和风险调整的30天再入院几率。协变量包括年龄、性别、种族、Charlson共病指数(CCI)、医院衰弱风险评分(HFRS)和年份。比较未调整模型和调整模型再入院风险的时间趋势。结果:2774例入院患者中,749例(27%)入院30天。较高的CCI (CCI≥4 vs . CCI=1):调整优势比[aOR] 2.00, 95%可信区间[CI] 1.33-2.99, P=0.003;CCI 2-3 vs CCI=1: aOR 1.50, 95% CI 1.15-1.96, P=0.001)和较高的HFRS(≥5 vs P=0.04)与再入院风险增加独立相关。虽然未经调整的分析没有显示出明显的时间趋势,但风险调整模型显示,与基线相比,2021-2023年的再入院几率降低了32-35%。结论:多发病和虚弱显著影响COPD再入院率。风险调整揭示了在未调整分析中不明显的再入院风险的改善,强调了应用风险调整以确保有效绩效指标的重要性。