How Does Geographic Access Affect In-Hospital Mortality for Veterans With Acute Ischemic Stroke
Dados Bibliográficos
| ID | 9104581 |
|---|---|
| Autores | Diane 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) |
| Ano | 2015 |
| Volume | 53 |
| Fascículo | 6 |
| Páginas | 501-509 |
| Data de publicação | 2015-06-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Medical Care (JOURNAL) |
| Identificadores do periódico | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Editora | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000000366 |
| PMID | 25961660 |
| OpenAlex | W279606957 |
| Idioma | EN |
| Citações recebidas | 4 |
| Referências 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
Associations of cause-specific mortality with area level deprivation and travel time to health care in France from 1990 to 2007, a multilevel analysis
Home Modification and Health Services Utilization by Rural and Urban Veterans With Disabilities
Addressing geographic access barriers to emergency care services
Structural racism and racial disparities in stroke mortality in the United States, 2021
| Obras citantes distintas | 4 |
|---|---|
| Citações por ano | 0,44 |
| Intervalo de citações | 2017 - 2025 (9) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 4 |