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Hospital Readmission Outcomes by Frailty Risk in Adults in Behavioral Health Acute Care
Frailty in older adults admitted to behavioral health hospitals does not significantly predict 30-day readmissions when accounting for comorbidities. Further research is needed to understand frailty
Area of Science:
- Geriatric Medicine
- Psychiatric Nursing
- Health Services Research
Background:
- Hospital readmissions are a significant concern in behavioral health settings.
- Identifying predictors of readmission is crucial for improving patient outcomes and reducing healthcare costs.
- Frailty is an emerging geriatric syndrome with potential implications for various health outcomes.
Purpose of the Study:
- To investigate if frailty predicts 30-day hospital readmissions in adults aged 50 years and older admitted for psychiatric diagnoses.
- To assess the predictive value of a 26-item frailty risk score (FRS-26-ICD) in this patient population.
Main Methods:
- Retrospective study of 1,063 adult patients (≥50 years) admitted to a behavioral health hospital between 2013 and 2017.
- Development of a frailty risk score (FRS-26-ICD) using electronic health record (EHR) data.
- Cox regression modeling to analyze predictors of 30-day readmission, including demographics, emergent admission, comorbidity, and FRS-26-ICD.
Main Results:
- The overall prediction model for readmission had modest performance (AUC = 0.671).
- While the FRS-26-ICD showed some predictive ability alone and with demographics, it lost significance when adjusting for other factors.
- The Elixhauser Comorbidity Index was a significant predictor of readmission (aHR = 1.26), whereas FRS-26-ICD was not.
Conclusions:
- Frailty may not be a significant independent predictor of 30-day readmission in older adults with psychiatric diagnoses when comorbidities are considered.
- Comorbidities, particularly those measured by the Elixhauser index, appear to be stronger predictors of readmission in this population.
- Frailty is a relevant syndrome in behavioral health that warrants further investigation for its role in risk prediction and care planning to prevent readmissions.
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