United States Government Publishing Office publisher pbl distributor dst United States Veterans Affairs Department author aut Government Organization Kansagara, Devan author aut text government publication eng GOVPUB Executive Agency Publications executive 2024-07-02 Veterans Affairs Department 2011-01-01 monographic harvested born digital 36 digital object pages VA 1.107/3:R 49 https://www.govinfo.gov/app/details/GOVPUB-VA-PURL-gpo155319 P0b002ee1c86a684c 001150248 https://purl.fdlp.gov/GPO/gpo155319 (OCoLC)758900782 DGPO 2024-07-02 2026-06-27 GOVPUB-VA-PURL-gpo155319 machine generated eng fdlp VA GOVPUB-VA-PURL-gpo155319 PURL-gpo155319 GOVPUB This content was harvested from online sources of the original hosting or authoring agency and may not reflect current policy. As Federal agencies add publications to their websites, or report new publications to GPO per statutory mandate (44 U.S.C. §§ 1710, 1902-1903), GPO ensures long-term preservation of and access to the content. 2011 UNREPORTEDPUBSSTAFF PERM_INGEST_12292023 gpo155319 https://www.govinfo.gov/app/details/GOVPUB-VA-PURL-gpo155319 https://www.govinfo.gov/content/pkg/GOVPUB-VA-PURL-gpo155319/pdf/GOVPUB-VA-PURL-gpo155319.pdf A Systematic Review Admission and discharge Evidence-based medicine Hospitals Mathematical models Risk assessment United States 0985-A-12 (online) Kansagara, Devan creator author. 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.) dcu Department of Veterans Affairs, Veterans Health Administration, Health Services Research & Development Service 2011. monographic 1 online resource (ii, 33 pages) : illustrations VA 1.107/3:R 49 0985-A-12 (online) text bibliography Technical reports. Statistics. eng 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. Devan Kansagara [and six others]. "Evidence-based synthesis program." "October 2011." Includes bibliographical references (pages 12-16). Prepared for: Department of Veterans Affairs, Veterans Health Administration, Health Services Research & Development Service, Washington, DC 20420. Prepared by: Evidence-based Synthesis Program (ESP) Center, Portland VA Medical Center, Portland, OR, Devan Kansagara, M.D., M.C.R., Director VA-ESP 05-225 n-us--- Hospitals Admission and discharge United States Risk assessment United States Mathematical models Evidence-based medicine Hospitals Admission and discharge Risk assessment United States https://purl.fdlp.gov/GPO/gpo155319 https://www.hsrd.research.va.gov/publications/esp/readmission.pdf a systematic review a systematic review