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How Does Geographic Access Affect In-Hospital Mortality for Veterans With Acute Ischemic Stroke

Dados Bibliográficos

ID9104581
AutoresDiane C Cowper Ripley, Diane Cowper Ripley (North Florida/South Georgia Veterans Health System, autor correspondente), Pui L Kwong (University of Pennsylvania), W Bruce Vogel, Bruce Vogel (0000-0002-8491-826X, University of Florida Health, autor correspondente), Jibby E Kurichi (0000-0001-8694-355X, University of Pennsylvania), Barbara Bates (Veterans Health Administration), Barbara E Bates, Claire Davenport (Veterans Health Administration)
Ano2015
Volume53
Fascículo6
Páginas501-509
Data de publicação2015-06-01
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.0000000000000366
PMID25961660
OpenAlexW279606957
IdiomaEN
Citações recebidas4
Referências citadas2

OBJECTIVE: To examine the relationship between estimated travel time to admitting hospital and mortality for veterans with acute ischemic stroke, controlling for patient demographic, clinical, facility-level variables, as well as select in-hospital treatments and procedures. METHODS: A longitudinal observational population-based study. Information on all veterans discharged from a Veterans Administration Medical Center (VAMC) with an ischemic stroke diagnosis between October 1, 2006 and September 30, 2008 were examined. A total of 10,430 patients met the inclusion criteria for the study. Unadjusted differences between patients who died during the hospital stay versus those patients who were discharged alive, used χ analyses or Student t tests, as appropriate. Multivariable logistic regression was used to control for confounding effects of patient, treatment, and facility characteristics to examine the relationship between travel time and the bivariate outcome of in-hospital mortality. RESULTS: Travel time to the admitting VAMC, our primary variable of interest regarding the effect on in-hospital mortality, after adjusting for the patient, treatment, and facility characteristics showed that longer travel times significantly increased the odds of in-hospital mortality. Travel times ≥ 90 minutes had increased odds of in-hospital mortality (OR=1.476; 95% CI, 1.067-2.042) as compared with <30 minutes. CONCLUSIONS: Even after adjusting for the confounding effects of patient, treatment, and facility characteristics, travel time from home to admitting VAMC was significantly associated with in-hospital mortality

Confounding · Environmental health · Logistic regression · Observational study · Odds · Odds ratio · Population · Stroke (engine) · Acute Ischemic Stroke Management · Emergency Medicine · Hospital Admissions and Outcomes · Internal Medicine · Medicine · Trauma and Emergency Care Studies

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    Luz Mairena Semeah, Shanti P Ganesh et al.•Housing Policy Debate•2021

  • Addressing geographic access barriers to emergency care services

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    Open Access•Annika Gompers, Todd T Lewis et al.•Social Science & Medicine•2025

  • Comorbidity Measures for Use with Administrative Data

    Anne Elixhauser, Claudia Steiner et al.•Medical Care•1998

  • The Concept of Access

    Roy Penchansky, J W Thomas•Medical Care•1981

Obras citantes distintas4
Citações por ano0,44
Intervalo de citações2017 - 2025 (9)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 4
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