Peak flow measurements in children with asthma: what happens at school?
BACKGROUND
Self-monitoring of symptoms or peak flow monitoring (PFM) is recommended for all asthma patients and is commonly included in asthma management plans. Limited data are available documenting PFM outcomes in school settings.


METHODS
Three hundred twenty-three urban children with persistent asthma were enrolled in a school-based study that implemented an internet-based asthma monitoring and data collection system. The mean age of the children was 10.0 (SD 2.1) years; 57% were male and 91% were African American. Children logged in daily to an internet-based program to record their asthma symptoms and PFM reading. Teachers logged in daily to confirm the PFM readings. School staff responsible for student health reported actions taken for low PFM readings.


RESULTS
A total of 12,245 child reports were completed; 98% (n = 11,974) had corresponding teacher reports, confirming the peak flow meter readings reported by the children. The prevalence of reported asthma symptoms varied across PFM readings; the highest prevalence occurred in the setting of red zone readings, with intermediate prevalence in the setting of yellow zone readings, and lowest prevalence in the setting of green zone readings. The actions reported in response to children's symptoms and peak flow results similarly varied; however, instances of no action were reported in the setting of yellow and red zone readings. When comparing the "worst days" of children who had ever had a red or yellow PFM reading with those of children who only had exhibited green, there was a nonsignificant trend toward fewer symptoms in the green-only group. Additionally, there was a nonsignificant trend toward a greater likelihood of being sent to the office or school nurse with greater symptoms in the setting of a yellow or red zone reading.


CONCLUSIONS
On the whole, peak flow readings tended to correspond to asthma disease activity. However, the data indicate that school staff may be more inclined to take action based on their own perceptions of a child's asthma or respond to children's subjective reports of asthma symptoms rather than using a more objective measure of disease activity provided by a peak flow meter.
Grad
Roni
R
Pediatrics, University of Arizona, Tucson, AZ 85724-5073, USA. rgrad@arc.arizona.edu
McClure
Leslie
L
Zhang
Sijon
S
Mangan
Joan
J
Gibson
Linda
L
Gerald
Lynn
L
D001249:Asthma / Q000150:complications / Q000503:physiopathology*; D002648:Child; D003625:Data Collection / Q000379:methods*; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D010366:Peak Expiratory Flow Rate; D011159:Population Surveillance / Q000379:methods*; D015995:Prevalence; D012120:Respiration Disorders / Q000175:diagnosis / Q000453:epidemiology / Q000209:etiology / Q000503:physiopathology; D012135:Respiratory Sounds; D012572:School Health Services; D012720:Severity of Illness Index; D014481:United States / Q000453:epidemiology; D014504:Urban Health