- Title Information
- Title
- A Quantitative Analysis of the Charlson and Hopkins Risk Score to Better Predict High-Risk Patients in a Behavioral Health Population
- 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.
- Name
- Name Part
- Singh, Harmanjeet
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Gates, Jonathan
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/oth")
- Advisor
- Origin Information
- Date Created
- 2021
- Subject (Local)
- Topic
- ER Readmissions
- Subject (Local)
- Topic
- Transition-of-Care Programs
- Type of Resource
- still image
- Genre
- posters
- Access Condition:
use and reproduction
- All rights reserved
- Access Condition:
rights statement
(href="http://rightsstatements.org/vocab/InC/1.0/")
- In Copyright
- Access Condition:
restriction on access
- All Rights Reserved
- Identifier:
DOI
- 10.26300/84j5-s067