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Published on: February 23, 2024
Hospital and Patient Level Predictors for 90-d Readmission Following Burn Injury
Jacob M Dougherty1, Eva S Blake2, Christopher J Rittle1
1Department of Surgery, University of Michigan, Ann Arbor, Michigan; Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, Michigan; Wayne State University School of Medicine, Detroit, Michigan.
Predictors for 90-day hospital readmission after burn injury include older age, comorbidities, and lower socioeconomic status. Hospital factors like private ownership and smaller size also increase readmission risk for burn patients.
Area of Science:
- Burn Injury Research
- Health Services Research
- Patient Outcomes
Background:
- Predictors for hospital readmission following burn injury are not well-defined.
- Previous studies have focused on limited patient groups or short timeframes (e.g., 30 days).
- This study addresses the need for comprehensive data on 90-day readmission predictors in the US adult population.
Purpose of the Study:
- To identify key predictors of all-cause, 90-day hospital readmission after burn injury.
- To analyze patient demographics, comorbidities, socioeconomic factors, and hospital characteristics associated with readmission.
- To inform clinical decision-making for reducing unplanned readmissions.
Main Methods:
- Observational cohort study using the 2017-2020 Nationwide Readmissions Database.
- Inclusion criteria: adults (≥18 years) admitted with burn injury.
- Multivariable logistic regression analysis of patient and hospital factors to predict 90-day readmission.
Main Results:
- 153,760 burn injury patients identified; 20.8% experienced 90-day readmission.
- Increased age, comorbidities, and lower socioeconomic status were significant predictors of readmission.
- Hospitals with private investor ownership and smaller bed sizes showed higher readmission rates.
Conclusions:
- Identifying 90-day readmission predictors is crucial for improving care after burn injury.
- Individualized patient care strategies can be developed based on identified risk factors.
- Minimizing unplanned readmissions can lead to better patient outcomes and healthcare efficiency.
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