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A Population‐Based Survival Assessment of Categorizing Level III and IV Rural Hospitals as Trauma Centers

Dados Bibliográficos

ID19432016
AutoresMelanie Arthur (Portland State University), Craig D Newgard (0000-0003-1083-3455, Oregon Health & Science University), Richard J Mullins (Oregon Health & Science University), Brian S Diggs (0000-0003-3586-3757, Oregon Health & Science University), Judith V Stone (Oregon Health & Science University), Annette L Adams (0000-0001-7338-4808, Oregon Health & Science University), Jerris R Hedges (0000-0002-9963-8033, Oregon Health & Science University)
Ano2009
Volume25
Fascículo2
Páginas182-188
Data de publicação2009-03-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoThe Journal of Rural Health (JOURNAL)
Identificadores do periódicoISSN: 0890-765X • E-ISSN: 1748-0361
EditoraWiley (PUBLISHER • GB)
DOI10.1111/j.1748-0361.2009.00215.x
PMID19785584
OpenAlexW2026990105
IdiomaEN
Citações recebidas1
Referências citadas24

Context: Patients injured in rural areas are hypothesized to have improved outcomes if statewide trauma systems categorize rural hospitals as Level III and IV trauma centers, though evidence to support this belief is sparse. Purpose: To determine if there is improved survival among injured patients hospitalized in states that categorize rural hospitals as trauma centers. Methods: We analyzed a retrospective cohort of injured patients included in the Healthcare Cost and Utilization Project's Nationwide Inpatient Sample from 1997 to 1999. We used generalized estimating equations to compare survival among injured patients hospitalized in states that categorize rural hospitals as Level III and IV trauma centers versus those that do not. Multivariable models adjusted for important confounders, including patient demographics, co‐morbid conditions, injury severity, and hospital‐level factors. Findings: There were 257,044 admitted patients from 7 states with a primary injury diagnosis, of whom 64,190 (25%) had a “serious” index injury, 32,763 (13%) were seriously injured (by ICD‐9 codes), and 12,435 (5%) were very seriously injured (by ICD‐9 codes). There was no survival benefit associated with rural hospital categorization among all patients with a primary injury diagnosis or for those with specific index injuries. However, seriously injured patients (by ICD‐9 codes) had improved survival when hospitalized in a categorizing state (OR for mortality 0.72, 95% confidence interval [CI] 0.53‐0.97; OR for very seriously injured 0.68, 95% CI 0.52‐0.90). Conclusions: There was no survival benefit to categorizing rural hospitals among a broad, heterogeneous group of hospitalized patients with a primary injury diagnosis; however the most seriously injured patients did have increased survival in such states

Confidence interval · Confounding · Diagnosis code · Environmental health · Injury prevention · Injury Severity Score · Odds ratio · Poison control · Population · Retrospective cohort study · Trauma center · Agriculture and Farm Safety · Injury Epidemiology and Prevention · Medicine · Trauma and Emergency Care Studies · Emergency Medicine · Internal Medicine

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  • Introducing Multilevel Modeling

    Ita G G Kreft, Ita Kreft et al.•Introducing Multilevel Modeling•1998

  • The Hierarchical Logistic Regression Model for Multilevel Analysis

    George Y Wong, William M Mason•Journal of the American…•1985

  • Mortality Among Seriously Injured Patients Treated in Remote Rural Trauma Centers Before and After Implementation of a Statewide Trauma System

    N Clay Mann, Richard J Mullins et al.•Medical Care•2001

Obras citantes distintas1
Citações por ano0,14
Intervalo de citações2019 - 2019 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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