A school-based case identification process for identifying inner city children with asthma: the Breathmobile program.
BACKGROUND
Striking increases in the prevalence and morbidity of asthma among inner city children have been documented.


OBJECTIVE
To establish and evaluate a large-scale, school-based case-detection process designed to efficiently and reliably identify inner city children with asthma.


METHODS
A bilingual, seven-question, self-administered, parental asthma screening survey was developed. Clinical validation was achieved in a sample of 675 consecutive parents bringing a child to the school-based Breathmobile Program for initial evaluation, using a comprehensive evaluation by a physician specialist (ie, allergist) as the standard. Survey response patterns were used to construct a novel seven-model, tiered scoring algorithm and an abbreviated algorithm that predict the probability of a child being clinically classified as "yes asthma" or "no asthma." A systematic survey distribution process administered by a single coordinator was developed, and the impact of a classroom-oriented incentive offering a 25 dollars school supply gift certificate for survey return rates of >or= 80% was evaluated.


RESULTS
A total of 636 parents provided one or more survey responses and information sufficient for clinical classification. The scoring algorithm correctly identified children with asthma (>or= 80% probability) with a sensitivity of 86.5%, a specificity of 83.6%, and a misclassification rate of 14.3% (91 of 636 children). The sensitivity for identifying persistent asthma was 91.3%. Asthma prevalence estimates derived using survey results from a larger sampling of the general population were similar to rates previously reported for comparable populations. The inclusion of an inexpensive incentive increased the median survey return rates from 35.3 to 65% (z= -11.9; p <.001). The screening process has been used to conduct 27,526 surveys at inner city schools.


CONCLUSIONS
The Breathmobile case-detection process offers a validated, comprehensive, large-scale method with which to identify children with asthma at their school sites.
Jones
Craig A
CA
Department of Pediatrics, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA. craigjones@adelphia.net
Morphew
Tricia
T
Clement
Loran T
LT
Kimia
Tania
T
Dyer
Marc
M
Li
Marilyn
M
Hanley-Lopez
Jean
J
D000293:Adolescent; D001249:Asthma / Q000175:diagnosis*; D002648:Child; D002675:Child, Preschool; D005260:Female; D006801:Humans; D008297:Male; D008403:Mass Screening; D008952:Mobile Health Units; D012572:School Health Services; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires; D019037:Urban Health Services