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Access to cardiac interventional services in Alabama and Mississippi: a geographical information system analysis
1Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL, USA.
Insights
Geographic distance to cardiac interventional services (CIS) did not significantly impact county myocardial infarction (MI) mortality rates. However, factors like rural status and poverty played a role in cardiac outcomes.
Area of Science:
- Public Health
- Health Services Research
- Geographic Information Systems (GIS)
Background:
- Geographic access to healthcare services is a critical determinant of patient outcomes.
- Understanding the relationship between proximity to cardiac interventional services (CIS) and mortality rates is essential for public health planning.
- Previous studies have explored access to care, but the specific impact of distance to CIS on county-level mortality needs further investigation.
Purpose of the Study:
- To assess the influence of distance to hospitals offering cardiac interventional services (CIS) on county age-adjusted myocardial infarction (MI) mortality rates (CAMR) in Alabama and Mississippi.
- To quantify the contribution of geographic access to CIS in explaining variations in MI mortality across counties.
Main Methods:
- Utilized U.S. Census, CDC mortality, and American Hospital Association data.
- Employed a geographical information system (GIS) to empirically measure county access to CIS.
- Conducted multiple regression analysis with distance to CIS, rural status, state, sex, poverty, education, race, and interaction terms as predictors of CAMR.
Main Results:
- The overall regression model significantly predicted CAMR, explaining 31.9% of the variability (adjusted R² = .319, p < .001).
- Distance to CIS was not found to be a statistically significant predictor of CAMR.
- Statistically significant interactions revealed that CAMR was sensitive to complex patterns related to rural status, poverty, education, and race.
Conclusions:
- Geographic location of CIS, as measured by distance, did not directly influence county-level myocardial infarction mortality rates.
- Complex socioeconomic and demographic factors, including rurality, poverty, education, and race, significantly interact with cardiac outcomes.
- Future interventions should consider these multifaceted determinants of cardiac mortality beyond simple geographic proximity to specialized services.
Objective:
The objective of this study was to determine the contribution of distance to hospitals with cardiac interventional services (CIS) to county age-adjusted myocardial infarction (MI) mortality rates (CAMR) in Alabama and Mississippi counties.
Methods:
THE STUDY USED THREE DATA SOURCES: U.S. Census data, Centers for Disease Control and Prevention (CDC) mortality data, and American Hospital Association data. A geographical information system (GIS) was used to measure distance, providing an empirical measure of county access to CIS. Multiple regression analysis was conducted using measures of distance to CIS, county rural status, state, sex, poverty, education, race, and interaction as predictors of CAMR.
Results:
Regression results indicate that the model significantly predicts CAMR, R(2) = .378, adjusted R(2) = .319, F = 6.321, p < .001. The model accounts for 31.9 percent of the variability.
Conclusions:
The results of this study do not lead to the conclusion that cardiac outcomes as measured by CAMR were sensitive to the geographic location of CIS. However, statistically significant interactions supported the sensitivity of CAMR to complex patterns and issues of rural status, poverty, education, and race.
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