How Does Geographic Access Affect In-Hospital Mortality for Veterans With Acute Ischemic Stroke
Datos Bibliográficos
| ID | 9104581 |
|---|---|
| Autores | Diane C Cowper Ripley, Diane Cowper Ripley (North Florida/South Georgia Veterans Health System, autor de correspondencia), Pui L Kwong (University of Pennsylvania), W Bruce Vogel, Bruce Vogel (0000-0002-8491-826X, University of Florida Health, autor de correspondencia), Jibby E Kurichi (0000-0001-8694-355X, University of Pennsylvania), Barbara Bates (Veterans Health Administration), Barbara E Bates, Claire Davenport (Veterans Health Administration) |
| Año | 2015 |
| Volumen | 53 |
| Número | 6 |
| Páginas | 501-509 |
| Fecha de publicación | 2015-06-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Medical Care (JOURNAL) |
| Identificadores de la revista | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Editorial | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000000366 |
| PMID | 25961660 |
| OpenAlex | W279606957 |
| Idioma | EN |
| Citas recibidas | 4 |
| Referencias citadas | 2 |
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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| Obras citantes distintas | 4 |
|---|---|
| Citas por año | 0,44 |
| Intervalo de citas | 2017 - 2025 (9) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 4 |