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The Hospital Score Predicts Potentially Preventable 30-Day Readmissions in Conditions Targeted by the Hospital Readmissions Reduction Program

Datos Bibliográficos

ID9099348
AutoresRobert E Burke (0000-0002-4760-8553, VA Eastern Colorado Health Care System, autor de correspondencia), Robert Burke (0000-0001-8141-4261, Hospital Medicine and Research Sections, Eastern Colorado Health Care System, DE), Jeffrey L Schnipper (0000-0001-7072-0781, BWH Hospitalist Service, Division of General Medicine, Brigham and Women’s Hospital), Malcolm V Williams (0000-0001-6107-0457, University of Kentucky), Mark V Williams (Center for Health Services Research, University of Kentucky College of Medicine, Lexington, KY), Edmondo J Robinson (Value Institute, Christiana Care Health System, Wilmington, DE), Edmondo Robinson (0000-0001-9625-6235, Christiana Care Health System), Eduard E Vasilevskis (0000-0001-8165-5321, Vanderbilt University, autor de correspondencia), Sunil Kripalani (0000-0002-4214-7129, Vanderbilt University), Joshua P Metlay (0000-0003-2259-6282, Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA), Grant S Fletcher (Department of Medicine, Harborview Medical Center, University of Washington, Seattle, WA), Grant Fletcher (0009-0008-9053-1679, University of Washington), Andrew D Auerbach (0000-0001-8440-0527, Division of Hospital Medicine, University of California, San Francisco, CA), Jacques Donze (Christiana Care Health System), Jacques D Donzé (BWH Hospitalist Service, Division of General Medicine, Brigham and Women’s Hospital)
Año2017
Volumen55
Número3
Páginas285-290
Fecha de publicación2017-03-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000665
PMID27755392
OpenAlexW2530771177
IdiomaEN
Citas recibidas1
Referencias citadas28

BACKGROUND/OBJECTIVES: New tools to accurately identify potentially preventable 30-day readmissions are needed. The HOSPITAL score has been internationally validated for medical inpatients, but its performance in select conditions targeted by the Hospital Readmission Reduction Program (HRRP) is unknown. DESIGN: Retrospective cohort study. SETTING: Six geographically diverse medical centers. PARTICIPANTS/EXPOSURES: All consecutive adult medical patients discharged alive in 2011 with 1 of the 4 medical conditions targeted by the HRRP (acute myocardial infarction, chronic obstructive pulmonary disease, pneumonia, and heart failure) were included. Potentially preventable 30-day readmissions were identified using the SQLape algorithm. The HOSPITAL score was calculated for all patients. MEASUREMENTS: A multivariable logistic regression model accounting for hospital effects was used to evaluate the accuracy (Brier score), discrimination (c-statistic), and calibration (Pearson goodness-of-fit) of the HOSPITAL score for each 4 medical conditions. RESULTS: Among the 9181 patients included, the overall 30-day potentially preventable readmission rate was 13.6%. Across all 4 diagnoses, the HOSPITAL score had very good accuracy (Brier score of 0.11), good discrimination (c-statistic of 0.68), and excellent calibration (Hosmer-Lemeshow goodness-of-fit test, P=0.77). Within each diagnosis, performance was similar. In sensitivity analyses, performance was similar for all readmissions (not just potentially preventable) and when restricted to patients age 65 and above. CONCLUSIONS: The HOSPITAL score identifies a high-risk cohort for potentially preventable readmissions in a variety of practice settings, including conditions targeted by the HRRP. It may be a valuable tool when included in interventions to reduce readmissions within or across these conditions

Brier score · Cohort · Intensive care medicine · Logistic regression · Medical diagnosis · Retrospective cohort study · Statistic · Statistics · Cardiovascular Function and Risk Factors · Emergency Medicine · Heart Failure Treatment and Management · Internal Medicine · Medicine · Transplantation: Methods and Outcomes

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Obras citantes distintas1
Citas por año0,17
Intervalo de citas2020 - 2020 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
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