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Estimation of asthma incidence among low-income children in Texas: a novel approach using Medicaid claims data
Judy K Wendt1, Elaine Symanski, Xianglin L Du
1Department of Epidemiology, Human Genetics, and Environment Sciences, University of Texas School of Public Health, Houston, Texas 77030, USA.
Insights
This study highlights the utility of Medicaid claims data for tracking childhood asthma incidence. Findings reveal higher incidence rates in Texas children, varying by age, gender, race, and location.
Area of Science:
- Pediatric Epidemiology
- Public Health Surveillance
- Health Services Research
Background:
- Childhood asthma incidence data are scarce, hindering understanding of risk factors.
- Existing reports indicate disproportionate asthma burden among low-income children.
- Effective surveillance is crucial for public health interventions.
Purpose of the Study:
- To assess the utility of Medicaid claims data for estimating statewide childhood asthma incidence.
- To provide recent estimates of asthma incidence among Texas children.
- To identify demographic and geographic disparities in asthma incidence.
Main Methods:
- Utilized Texas Medicaid Analytic Extract (MAX) data for children aged 0-17 (2004-2007).
- Required a minimum 13-month continuous enrollment period to identify incident cases.
- Calculated age-adjusted asthma incidence rates overall and stratified by age, gender, race, and county.
Main Results:
- Age-adjusted asthma incidence was 4.26 per 100 person-years (2005-2007).
- Incidence decreased with age and was higher in males than females.
- Rates varied by race and were higher in rural compared to urban areas.
Conclusions:
- Medicaid claims data are a valuable resource for estimating childhood asthma incidence.
- Significant demographic and geographic variations in asthma incidence exist among Texas children.
- Methodology addresses challenges of unstable enrollment in Medicaid populations for accurate surveillance.
Abstract:
Few recent estimates of childhood asthma incidence exist in the literature, although the importance of incidence surveillance for understanding asthma risk factors has been recognized. Asthma prevalence, morbidity, and mortality reports have repeatedly shown that low-income children are disproportionately impacted by the disease. The aim of this study was to demonstrate the utility of Medicaid claims data for providing statewide estimates of asthma incidence. Medicaid analytic extract (MAX) data for Texas children aged 0-17 years enrolled in Medicaid between 2004 and 2007 were used to estimate incidence overall and by age group, gender, race, and county of residence. A ≥13-month period of continuous enrollment was required in order to distinguish incident from prevalent cases identified in the claims data. The age-adjusted incidence of asthma was 4.26/100 person-years during 2005-2007, higher than reported in other populations. Incidence rates decreased with age, were higher for males than females, differed by race, and tended to be higher in rural than urban areas. This study demonstrates the utility of Medicaid analytic extract data for estimating asthma incidence and describes the methodology required for a population with unstable enrollment.
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