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Beyond Volume

Does Hospital Complexity Matter? An Analysis of Inpatient Surgical Mortality in the United States

Datos Bibliográficos

ID9097939
AutoresMarta L McCrum (0000-0003-2543-1635, Ariadne Diagnostics (United States), autor de correspondencia), Stuart R Lipsitz (0000-0003-2619-1389, Ariadne Diagnostics (United States), autor de correspondencia), William R Berry (0000-0002-7883-9872, Brigham and Women's Hospital), Ashish K Jha (0000-0002-6602-6444, Harvard University), Atul A Gawande (0000-0002-1824-9176, Ariadne Diagnostics (United States), autor de correspondencia)
Año2014
Volumen52
Número3
Páginas235-242
Fecha de publicación2014-03-01
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.0000000000000077
PMID24509361
OpenAlexW2409318031
IdiomaEN
Citas recibidas1
Referencias citadas10

BACKGROUND: Hospitals show wide variation in outcomes and systems of care. It is unclear whether hospital complexity-the range of services and technologies provided-affects outcomes and in what direction. We sought to determine whether complexity was associated with inpatient surgical mortality. METHODS: Using national Medicare data, we identified all fee-for-service inpatients who underwent 1 of 5 common high-risk surgical procedures in 2008-2009 and measured complexity by the number of unique primary diagnoses admitted to each hospital over the 2-year period. We calculated 30-day postoperative mortality rates, adjusting for patient and hospital characteristics, and used multivariable Poisson regression models to test for an association between hospital complexity and mortality rates. We then used this model to generate predicted mortality rates for low-volume and high-volume hospitals across the spectrum of hospital complexity. RESULTS: A total of 2691 hospitals were analyzed, representing a total of 382,372 admissions. After adjusting for hospital characteristics, including hospital volume, increasing hospital complexity was associated with lower surgical mortality rates. Patients receiving care at the hospitals in the lowest quintile of unique diagnoses had a 27% higher risk of death than those at the highest quintile. The effect of complexity was largest for low-volume hospitals, which were capable of achieving mortality rates similar to high-volume hospitals when in the most complex quintile. CONCLUSIONS: Hospital complexity matters and is associated with lower surgical mortality rates, independent of hospital volume. The effect of complexity on outcomes for nonsurgical services warrants investigation

Acute care · Case mix index · Health care · Medical diagnosis · Mortality rate · Poisson regression · Emergency Medicine · Healthcare Operations and Scheduling Optimization · Healthcare Policy and Management · Internal Medicine · Medicine · Primary Care and Health Outcomes

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Obras citantes distintas1
Citas por año1
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
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