Healthcare Access and County-Level COVID-19 Mortality: Exploring the Impact of Hospital Proximity and Uninsurance Rates
2024

Healthcare Access and COVID-19 Mortality

Sample size: 2640 publication 10 minutes Evidence: moderate

Author Information

Author(s): Benavidez Gabriel A., Zgodic Anja, Owczarek Aleksander, Napoli Christian

Primary Institution: Baylor University, Waco, TX, USA; University of South Carolina, Columbia, SC, USA

Hypothesis

How does hospital proximity and uninsurance rates affect county-level COVID-19 mortality?

Conclusion

Proximity to hospital services does not significantly reduce COVID-19 mortality, while higher uninsurance rates are linked to increased mortality.

Supporting Evidence

  • Counties with higher uninsurance rates had significantly higher COVID-19 mortality.
  • Increased distance to the nearest ICU was associated with lower COVID-19 mortality.
  • Distance to ERs also showed a negative association with COVID-19 mortality.
  • The study included 2640 counties, representing 84% of U.S. counties.
  • Median COVID-19 mortality rate was 240 deaths per 100,000.
  • Proximity to hospitals may not be beneficial due to higher population density in those areas.
  • Financial barriers to healthcare access were highlighted as a significant issue.
  • Findings suggest a need for policies to expand insurance coverage.

Takeaway

This study found that living closer to hospitals doesn't help much with COVID-19 deaths, but not having health insurance makes things worse.

Methodology

The study used generalized linear regression models to analyze the relationship between distance to hospitals, uninsurance rates, and COVID-19 mortality across U.S. counties.

Potential Biases

Potential ecological fallacy due to reliance on aggregated data.

Limitations

The study relies on county-level data, which may not accurately reflect individual circumstances, and only examines hospital-based services.

Participant Demographics

The analysis included 2640 U.S. counties with varying demographics, including racial and socioeconomic factors.

Statistical Information

P-Value

<0.0001

Confidence Interval

95% CI: 0.57–0.65 for ICU distance; 95% CI: 0.92–0.98 for ER distance; 95% CI: 2.58–5.62 for uninsured proportion.

Statistical Significance

p<0.0001

Digital Object Identifier (DOI)

10.3390/healthcare12242543

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