Description
- Abstract:
- Hospital readmissions is a growing crisis within the US that presents with increasing hospitalization rates and per capita costs. For adults with mental illnesses, approximately half of all patients discharged are readmitted within a year. Mental health disorders and substance use disorders are amongst the top five-diagnoses associated with a 30-day readmission. One possible solution is transition-of-care programs that provide care to recently discharged patients. The Charlson Index and Hopkins ACG are risk scores that predict mortality and hospital readmissions, indicating which patients are “high-risk”. This study aimed to determine which risk score better predicted “high-risk” patients to help guide transition-of-care programs in reducing readmission rates.
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Citation
Singh, Harmanjeet,
"A Quantitative Analysis of the Charlson and Hopkins Risk Score to Better Predict High-Risk Patients in a Behavioral Health Population"
(2021).
Gateways to Medicine, Health Care, and Research.
Brown Digital Repository. Brown University Library.
https://doi.org/10.26300/84j5-s067
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Gateways to Medicine, Health Care, and Research
The Gateways Program at the Warren Alpert Medical School of Brown University provides academically promising, motivated students new pathways to careers in the health sciences. This collection houses scholarly works produced by Master of Science in Medical Sciences (ScM) students …...