ArticleHealth services research2020
The influence of sociodemographic factors on trauma center transport for severely injured older adults.
Article in Health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Under-triage of older trauma patients in prehospital care: a systematic review.European geriatric medicine · 2021Pooled it
- Factors Influencing Operational Delays in Prehospital Trauma Interventions: Evidence from a Romanian Cohort.Medicina (Kaunas, Lithuania) · 2026Article
- Differences in admission to trauma centres by sex among adults with traumatic brain injury: a population-based cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026Article
- Sex and gender bias in major trauma care: a scoping review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026Article
- Criteria for the qualification of geriatric patients to the trauma center.World journal of emergency surgery : WJES · 2026Article
- Sex-Specific Factors Affecting Quality of Life After Major Trauma: Results of a Prospective Multicenter Registry-Based Cohort Study.Healthcare (Basel, Switzerland) · 2025Article
- Ambulance service recognition of health inequalities and activities for reduction: An evidence and gap map of the published literature.British paramedic journal · 2024Article
- Patient sex and use of tranexamic acid in liver transplantation.Frontiers in medicine · 2024Article
- Geographic Disparities in Re-triage Destinations Among Seriously Injured Californians.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2023Article
- Gender awareness is also nurses' business: Measuring sensitivity and role ideology towards patients.Journal of nursing management · 2022Article
- Article
- The influence of sociodemographic factors on trauma center transport for severely injured older adults.Health services research · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo examine sociodemographic predictors of trauma center (TC) transport of severely injured older adults. DATA SOURCES: The data source was the Healthcare Cost and Utilization Project, New York Inpatient Database (2014). STUDY
designThis study was a secondary analysis of injured older adults. Key sociodemographic variables were age, gender, race/ethnicity, median household income, and primary payer. Confounding variables were injury severity, geographic location, number of chronic conditions, and injury mechanism. The outcome variable was TC transport. DATA COLLECTION/EXTRACTION
methodsThe database was filtered on the following criteria: age =/> 55 years, primary diagnosis of injury (International Classification of Diseases, 9th Revision, Clinical Modification [ICD-9-CM], 800.0-957.9, excluding poisoning, late effects, and interfacility transfers), admitted to an acute care hospital in New York. PRINCIPAL
findingsRecords of 33 696 patients were included. Multivariate logistic regression analysis revealed that all variables were statistically significant predictors of TC transport except primary payer. Predictors of TC transport were as follows: higher injury severity (OR 2.1, CI 1.79-2.46; 3.39, CI 2.85-4.05); Asian/Pacific and Hispanic race/ethnicity (OR 2.51, CI 1.92-3.27; OR 1.1, CI 0.86-1.42), highest median household income (OR 1.24, CI 1.01-1.52), high population density (OR 1.32, CI 1.12-1.55; OR 3.2, CI 2.68-2.83), and vehicle crashes (OR 3.39, CI 2.79-4.11). Predictors of non-TC transport were as follows: older age groups (OR 0.92, CI 0.76-1.11; OR 0.79, CI 0.64-0.96; OR 0.77, CI 0.63-0.95), females (OR 0.65, CI 0.57-0.74), Black and "other" race (OR 0.75, CI 0.0.56-1.0; OR 0.96, CI 0.77-1.20), lower median household income (OR 0.76, CI 0.62-0.93; OR 0.86, CI 0.71-1.05), low population density (OR 0.96, CI 0.67-1.36; OR 0.89, CI 0.53-1.51), and number of chronic conditions (OR 0.89, CI 0.87-0.91).
conclusionsSociodemographic factors are a source of disparity for access to TCs. Further research is needed to confirm bias and test bias reduction strategies. Comprehensive education and policies are needed to reduce disparities in access to trauma care.
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