Chronic obstructive pulmonary disease 30-day readmission metric: Risk adjustment for multimorbidity and frailty

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 afte...

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Main Authors: Anthony Yii, Isaac Fong, Sean Chee Hong Loh, Jansen Meng-Kwang Koh, Augustine Tee
Format: Article
Language:English
Published: Academy of Medicine Singapore 2025-07-01
Series:Annals, Academy of Medicine, Singapore
Online Access:https://annals.edu.sg/chronic-obstructive-pulmonary-disease-30-day-readmission-metric-risk-adjustment-for-multimorbidity-and-frailty/#
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author Anthony Yii
Isaac Fong
Sean Chee Hong Loh
Jansen Meng-Kwang Koh
Augustine Tee
author_facet Anthony Yii
Isaac Fong
Sean Chee Hong Loh
Jansen Meng-Kwang Koh
Augustine Tee
author_sort Anthony Yii
collection DOAJ
description 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 administrative 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 (equal or more than 5 vs less than 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.
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spelling doaj-art-24a591a79bcd40d584522e427050b5dd2025-08-20T03:39:15ZengAcademy of Medicine SingaporeAnnals, Academy of Medicine, Singapore2972-40662025-07-0154741910.47102/annals-acadmedsg.202524Chronic obstructive pulmonary disease 30-day readmission metric: Risk adjustment for multimorbidity and frailtyAnthony YiiIsaac FongSean Chee Hong LohJansen Meng-Kwang KohAugustine Tee 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 administrative 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 (equal or more than 5 vs less than 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. https://annals.edu.sg/chronic-obstructive-pulmonary-disease-30-day-readmission-metric-risk-adjustment-for-multimorbidity-and-frailty/#
spellingShingle Anthony Yii
Isaac Fong
Sean Chee Hong Loh
Jansen Meng-Kwang Koh
Augustine Tee
Chronic obstructive pulmonary disease 30-day readmission metric: Risk adjustment for multimorbidity and frailty
Annals, Academy of Medicine, Singapore
title Chronic obstructive pulmonary disease 30-day readmission metric: Risk adjustment for multimorbidity and frailty
title_full Chronic obstructive pulmonary disease 30-day readmission metric: Risk adjustment for multimorbidity and frailty
title_fullStr Chronic obstructive pulmonary disease 30-day readmission metric: Risk adjustment for multimorbidity and frailty
title_full_unstemmed Chronic obstructive pulmonary disease 30-day readmission metric: Risk adjustment for multimorbidity and frailty
title_short Chronic obstructive pulmonary disease 30-day readmission metric: Risk adjustment for multimorbidity and frailty
title_sort chronic obstructive pulmonary disease 30 day readmission metric risk adjustment for multimorbidity and frailty
url https://annals.edu.sg/chronic-obstructive-pulmonary-disease-30-day-readmission-metric-risk-adjustment-for-multimorbidity-and-frailty/#
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AT jansenmengkwangkoh chronicobstructivepulmonarydisease30dayreadmissionmetricriskadjustmentformultimorbidityandfrailty
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