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Population density and racial differences in the performance of emergency medical services

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  • David, Guy
  • Harrington, Scott E.

Abstract

This paper analyzes the existence and scope of possible racial differences/disparities in the provision of emergency medical services (EMS) response capability (time from dispatch to arrival at the scene and level of training of the responding team) using data on approximately 120,000 cardiac incidents in the state of Mississippi during 1995-2004. The conceptual framework and empirical analysis focus on the likely effects of population density on the efficient production of EMS as a local public good subject to congestion, and on the need to control adequately for population density to avoid bias in testing for racial differences. Models that control for aggregate population density at the county-level indicate "reverse" disparities: faster estimated response times for African-Americans than for whites. When a refined county-level measure of population density is used that incorporates differences in African-American and white population density by Census tract, the reverse disparity in response times disappears. There also is little or no evidence of race-related differences in the certification level of EMS responders. However, there is evidence that, controlling for response time, African-Americans on average were significantly more likely to be deceased than whites upon EMS arrival at the scene. The overall results are germane to the debate over the scope of conditioning variables that should be included when testing for racial disparities in health care.

Suggested Citation

  • David, Guy & Harrington, Scott E., 2010. "Population density and racial differences in the performance of emergency medical services," Journal of Health Economics, Elsevier, vol. 29(4), pages 603-615, July.
  • Handle: RePEc:eee:jhecon:v:29:y:2010:i:4:p:603-615
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    References listed on IDEAS

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    1. David Card & Carlos Dobkin & Nicole Maestas, 2004. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization and Health Evidence from Medicare," Working Papers WR-197, RAND Corporation.
    2. Balsa, Ana I. & McGuire, Thomas G., 2003. "Prejudice, clinical uncertainty and stereotyping as sources of health disparities," Journal of Health Economics, Elsevier, vol. 22(1), pages 89-116, January.
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    5. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    6. Susan Athey & Scott Stern, 2002. "The Impact of Information Technology on Emergency Health Care Outcomes," RAND Journal of Economics, The RAND Corporation, vol. 33(3), pages 399-432, Autumn.
    7. Balsa, Ana I. & Cao, Zhun & McGuire, Thomas G., 2007. "Does managed health care reduce health care disparities between minorities and Whites?," Journal of Health Economics, Elsevier, vol. 26(1), pages 101-121, January.
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    Cited by:

    1. Courtemanche, Charles & Friedson, Andrew & Koller, Andrew P. & Rees, Daniel I., 2019. "The affordable care act and ambulance response times," Journal of Health Economics, Elsevier, vol. 67(C).
    2. Zhang, Cai Wen & Yang, Yuanhui, 2023. "Appraisal of regional hospital efficiency and healthcare quality in China: Impacts of subsidies and marketization," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    3. Elizabeth Ty Wilde, 2013. "Do Emergency Medical System Response Times Matter For Health Outcomes?," Health Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 790-806, July.
    4. Tanguy Brachet & Guy David & Andrea M. Drechsler, 2012. "The Effect of Shift Structure on Performance," American Economic Journal: Applied Economics, American Economic Association, vol. 4(2), pages 219-246, April.
    5. Elena Lucchese, 2020. "Where are you? The problem of location during emergencies," Working Papers 439, University of Milano-Bicocca, Department of Economics, revised Apr 2020.
    6. Suriyaphong Nilsang & Chumpol Yuangyai & Chen-Yang Cheng & Udom Janjarassuk, 2019. "Locating an ambulance base by using social media: a case study in Bangkok," Annals of Operations Research, Springer, vol. 283(1), pages 497-516, December.
    7. Ranon Jientrakul & Chumpol Yuangyai & Klongkwan Boonkul & Pakinai Chaicharoenwut & Suriyaphong Nilsang & Sittiporn Pimsakul, 2022. "Integrating Spatial Risk Factors with Social Media Data Analysis for an Ambulance Allocation Strategy: A Case Study in Bangkok," Sustainability, MDPI, vol. 14(16), pages 1-15, August.

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