Abstract 68: Socioeconomic Factors Associated With Ems-documented Stroke Chief Complaints In The Greater Cincinnati Northern Kentucky Stroke Study (GCNKSS)
Year: 2023
Type: conference-abstract
Abstract: Background: Accurate identification of stroke by EMS is necessary for triage and pre-notification within stroke systems of care. Our objective was to describe disparities in the documentation of stroke as the patient’s chief complaint (CC) by EMS in a large population-based stroke study. Methods: We included physician-adjudicated strokes and TIAs occurring among adults ≥18 years old in 2015 in the GCNKSS study population, based in a 5-county area of Southern Ohio/Northern Kentucky. Strokes in which EMS was not used and events occurring in the hospital, during EMS transport, at an unknown location, or outside the study region were excluded. The documented CC by EMS (stroke/CVA, MI, seizure, fall, weakness/numbness, headache, or other) were compared between race/sex subgroups. Sequential multivariable logistic regression was performed to identify associations between race, sex, and social determinants of health with an EMS-documented stroke CC. Social determinants included living arrangement and census tract social deprivation index (SDI). Results: A total of 1451 stroke/TIA events were included. White women had the highest proportion of EMS-documented stroke CCs (56%), more than Black women (48%), White men (45%), and Black men (42%), (p=0.02). Black race was inversely associated with an EMS-documented stroke CC in initial models but was collinear with SDI and no longer significant when SDI was included. In the full model, age, previous stroke, and living with others were associated with an EMS-documented stroke CC, while SDI and CAD were inversely associated with EMS-documented stroke CCs. (Table) Conclusion: Patients living in census tracts characterized by social deprivation were less likely to have EMS-documented stroke CCs, suggesting differences in either patient or EMS recognition of stroke. Further work is needed to explore potential confounders including EMS protocols and to improve identification of stroke by patients and EMS providers.
Source: Stroke
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4319008747