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Underserved Populations

Individual and county level predictors of asthma related emergency department visits among children on Medicaid: A multilevel approach

, PhD, , MPH, , MD, MS, FAAP, , MD, , MD, MSCR Candidate & , MD, MPH, FAAFP, FACPM
Pages 53-61 | Received 24 Nov 2015, Accepted 27 May 2016, Published online: 26 Sep 2016
 

ABSTRACT

Objective: Disparities in asthma outcomes are well documented in the United States. Interventions to promote equity in asthma outcomes could target factors at the individual and community levels. The objective of this analysis was to understand the effect of individual (race, gender, age, and preventive inhaler use) and county-level factors (demographic, socioeconomic, health care, air-quality) on asthma emergency department (ED) visits among Medicaid-enrolled children. This was a retrospective cohort study of Medicaid-enrolled children with asthma in 29 states in 2009. Multilevel regression models of asthma ED visits were constructed utilizing individual-level variables (race, gender, age, and preventive inhaler use) from the Medicaid enrollment file and county-level variables reflecting population and health system characteristics from the Area Resource File (ARF). County-level measures of air quality were obtained from Environmental Protection Agency (EPA) data. Results: The primary modifiable risk factor at the individual level was found to be the ratio of long-term controller medications to total asthma medications. County-level factors accounted for roughly 6% of the variance in the asthma ED visit risk. Increasing county-level racial segregation (OR=1.04, 95% CI=1.01-1.08) was associated with increasing risk of asthma ED visits. Greater supply of pulmonary physicians at the county level (OR=0.81, 95% CI=0.68-0.97) was associated with a reduction in risk of asthma ED visits. Conclusions: At the patient care level, proper use of controller medications is the factor most amenable to intervention. There is also a societal imperative to address negative social determinants, such as residential segregation.

Funding

This study was supported by grant support from the Agency for Healthcare Research & Quality, Grant numbers 1K18HS022444 and R24HS019470; DHHS Office of Minority Health, Grant number MPCMP121069; National Institute of Health/National Institute on Minority Health and Health Disparities, Grant numbers U54MD008173 and 3U54MD007588.

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