Women's prehospital delay associated with myocardial infarction: does race really matter?

Jean C McSweeney1, Leanne L Lefler, Ellen P Fischer

  • 1College of Nursing, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA. jcmcsweeney@uams.edu

Insights

Black and white women experienced similar delays in seeking treatment for acute myocardial infarction (AMI). Correctly identifying AMI symptoms and having public insurance significantly predicted faster treatment seeking in women.

Area of Science:

  • Cardiology
  • Public Health
  • Health Disparities

Background:

  • Cardiovascular disease (CVD) disparities contribute significantly to reduced life expectancy in Black individuals.
  • Black women experience higher CVD mortality and report longer delays in seeking treatment for acute myocardial infarction (AMI) compared to white women.
  • Limited race-specific data exists on factors influencing treatment delays for AMI in women.

Purpose of the Study:

  • To compare the duration and correlates of delayed treatment seeking following AMI symptom onset between Black and white women.
  • To identify modifiable factors that influence timely medical attention for AMI in diverse female populations.

Main Methods:

  • Secondary data analysis of self-report data from 509 Black and 500 white women interviewed 4-6 months post-AMI.
  • Multivariable logistic and linear regression models were employed to analyze treatment delay duration and predictors.

Main Results:

  • Median delay time was similar between Black (1.0 hours) and white women (1.5 hours), with no statistically significant difference.
  • Similar proportions of Black (57%) and white (54%) women sought treatment within 2 hours of symptom onset.
  • Correctly attributing symptoms to AMI (ORs=2.79-3.86) and public insurance eligibility (OR=2.3 for Black women) were significant predictors of timely treatment seeking.

Conclusions:

  • Correct symptom attribution and public insurance coverage are significant, modifiable predictors of seeking timely treatment for AMI.
  • Demographics, comorbidities, and AMI risk factors were not significantly associated with treatment delay.
  • Interventions should focus on improving symptom recognition and addressing insurance-related barriers to reduce AMI treatment delays in women.
Abstract

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