UCSF

BACKGROUND:Asthma is epidemic in many locations in the United States. Asthma exacerbations pose serious health and education risks for students through school absences, school dropout, and introduction to the juvenile justice system. Accurate school district-level asthma data, currently in short supply, would enable early interventions that focus on specific geographic areas and racial and ethnic subgroups that have higher asthma prevalence. METHODS:To support the development of better local level data systems, we used two California student databases, as well as state education and financial databases, to develop two models to estimate school absences and to extrapolate their economic impact in lost school revenue. RESULTS:Analysis demonstrated subpopulations that are appropriate for early intervention: African American elementary school boys have 9.4 average absences per year, higher than other primary racial and ethnic groups. Students who miss ≥3 school days due to asthma account for $26 million of lost revenue. CONCLUSIONS:Accurate local level asthma data can identify subpopulations of students for whom environmental and treatment programs can be employed to reduce asthma absences and other related outcomes, and to reduce currently lost school revenues. Such programs also may diminish other asthma-related school inequities.