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

Dados Bibliográficos

ID9099348
AutoresRobert E Burke (0000-0002-4760-8553, VA Eastern Colorado Health Care System, autor correspondente), 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 correspondente), 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)
Ano2017
Volume55
Fascículo3
Páginas285-290
Data de publicação2017-03-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000665
PMID27755392
OpenAlexW2530771177
IdiomaEN
Citações recebidas1
Referências 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
Citações por ano0,17
Intervalo de citações2020 - 2020 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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