Risk prediction models for hospital readmission : a systematic review / prepared for, Department of Veterans Affairs, Veterans Health Administration, Health Services Research & Development Service ; prepared by Evidence-based Synthesis Program (ESP) Center, Portland VA Medical Center ; investigators, Devan Kansagara [and others].

Format:

Book

Government document

Author/Creator:

Kansagara, Devan, author.

Contributor:

United States. Department of Veterans Affairs. Health Services Research and Development Service, issuing body.

Portland VA Medical Center. Evidence-based Synthesis Program Center

Evidence-based Synthesis Program (U.S.)

Language:

English

Subjects (All):

Hospitals--Admission and discharge--United States.

Hospitals.

Risk assessment--United States.

Risk assessment.

Mathematical models.

Evidence-based medicine.

Patient Readmission.

Risk Assessment.

Models, Theoretical.

Evidence-Based Medicine.

United States.

risk assessment.

mathematical models.

Hospitals--Admission and discharge.

Medical Subjects:

Patient Readmission.

Risk Assessment.

Models, Theoretical.

Evidence-Based Medicine.

United States.

Genre:

technical reports.

Technical reports

Statistics

Technical reports.

Statistics.

Physical Description:

1 online resource (ii, 33 pages) : illustrations

Place of Publication:

Washington, DC : Department of Veterans Affairs, Veterans Health Administration, Health Services Research & Development Service, 2011.

Summary:

An increasing body of literature attempts to describe and validate hospital readmission risk prediction tools. Interest in such models has grown for two reasons. First, transitional care interventions may reduce readmissions among chronically ill adults. Readmission risk assessment could be used to help target the delivery of these resource-intensive interventions to the patients at greatest risk. Ideally, models designed for this purpose would provide clinically relevant stratification of readmission risk and give information early enough during the hospitalization to trigger a transitional care intervention, many of which involve discharge planning and begin well before hospital discharge. Second, there is interest in using readmission rates as a quality metric. Recently, the Centers for Medicare & Medicaid Services (CMS) began using readmission rate as a publicly reported metric, with plans to lower reimbursement to hospitals with excess risk-standardized readmission rates. Valid risk adjustment methods are required for calculation of risk-standardized readmission rates which could, in turn, be used for hospital comparison, public reporting, and reimbursement determinations. Models designed for these purposes should have good predictive ability; be deployable in large populations; use reliable data that can be easily obtained; and use variables that are clinically related to, and validated in, the populations in which use is intended. This systematic review was performed to synthesize the available literature on validated readmission risk prediction models, describe their performance, and assess their suitability for clinical or administrative use.

Notes:

"Evidence-based synthesis program."

"October 2011."

Includes bibliographical references (pages 12-16).

Description based on online resource; title from PDF cover (VA, viewed April 30, 2021).

OCLC:

758900782