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Evidence from longitudinal cohort studies demonstrates that wheezing that begins in early life and continues into the school years generally persists into adulthood. This persistent wheezing is associated with lung function deficits and airways hyperresponsiveness that appear to be established in the first few years of life. Allergic sensitization early in life, early-life infection with rhinovirus, or colonization with any of a number of bacteria have been associated with increased risk of persistent wheeze. Early life, whether in utero or in the first few years of life, presents a window of vulnerability during which airway injury results in persistent airways dysfunction. Available data further suggest that a second such window of vulnerability might be present in the preadolescent and adolescent years. Lung function growth patterns established by age 6 years generally continue into early adulthood to middle adulthood, typically leaving groups of subjects with wheezing that persists into or relapses during adulthood with a mean FEV(1) of about 10% of predicted value less than their peers who do not wheeze. Subgroups of patients with persistent asthma, however, can have progressive decreases in lung function and enter adulthood with even lower lung function. The concern exists that these deficits in lung function apparent in early adulthood might put subjects at risk for the later development of chronic obstructive pulmonary disease.

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BACKGROUND: Much has been done to promote population-based childhood asthma screening; however, concerns remain regarding its cost-effectiveness. OBJECTIVES: To conduct a cost-effectiveness analysis of school-based asthma screening strategies. METHODS: A 5 health state Markov approach (symptom-free, symptom, exacerbation recovery, emergency department, and hospitalization day) was used to evaluate school-based screening in a simulated population of urban elementary-age school children. Two questionnaire and 2 multistage strategies incorporating spirometry or spirometry with exercise testing were evaluated from the societal perspective by using 365 daily cycles. The outcome was 2006 dollars per quality-adjusted life year (QALY). RESULTS: The most efficient strategy identified children with previously diagnosed but poorly controlled asthma at a cost of $150,000 per QALY (95% CI, $65,800-$318,000). Uncertainty surrounding the cost-effectiveness estimate was primarily a result of the symptom day preference weight estimate (44%), the probability of confirmation after screening (17%), the adequacy of asthma control in the population (9%), and the estimated treatment effect on symptoms (6%). Screening generated an additional 21 symptom-free day equivalents per child identified with previously diagnosed but not well controlled asthma and led to $85.55, $12.36, and $2.58 in additional screening, daily treatment, and indirect costs and $5.01 less in emergency department and hospitalization costs. CONCLUSION: Population-based asthma screening is not cost-effective at $50,000 per QALY and has only a 20% chance of being cost-effective at $100,000 per QALY. The most efficient approach is to screen for previously diagnosed but poorly controlled asthma. Linking screening with better treatment, and long-term adherence strategies might yield future cost-effective approaches.

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OBJECTIVE: Population-based asthma detection is a potential strategy to reduce asthma morbidity in children; however, the burden of respiratory symptoms and health care use among children identified by case detection is not well known. METHODS: Data come from a school-based asthma case detection validation study of 3539 children. Respiratory symptoms, emergency department (ED) visits, and hospitalizations were assessed by questionnaire for children whose case detection result and physician study diagnosis agreed. RESULTS: Physician evaluation of 530 case detection results yielded 420 cases of agreement (168 children with previously diagnosed asthma, 39 with undiagnosed asthma, and 213 without asthma). Children with previously diagnosed asthma were more likely to be male (P < .0001). No differences in severity were observed in children with previously and undiagnosed asthma (P = .31). Children with undiagnosed asthma reported less frequent daytime and nighttime symptoms than children with previously diagnosed asthma but more than those without asthma (P < .0001). The proportion of children with at least 1 respiratory-related ED visit in the past year was 32%, 3%, and 3% for those with previously diagnosed, undiagnosed, and no asthma, respectively (P < .0001). The proportion with at least 1 respiratory-related hospitalization was 8%, 0%, and 0%, respectively (P < .0001). There were no differences in nonrespiratory ED visits (P = .93). CONCLUSIONS: Despite similar physician-rated severity, children with undiagnosed asthma reported significantly less frequent respiratory symptoms and health care use than children with previously diagnosed asthma. These findings suggest that the potential health gains from case detection may be smaller than expected.

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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. METHOD: 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.

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OBJECTIVE: We aimed to determine the effectiveness of school-based supervised asthma therapy in improving asthma control. The primary hypothesis was that the supervised-therapy group would have a smaller proportion of children experiencing an episode of poor asthma control each month, compared with those in the usual-care group. METHODS: Children were eligible if they had physician-diagnosed persistent asthma, the need for daily controller medication, and the ability to use a dry-powder inhaler and a peak flowmeter. The trial used a 2-group, randomized, longitudinal design with a 15-month follow-up period. A total of 290 children from 36 schools were assigned randomly to either school-based, supervised therapy or usual care. Ninety-one percent of the children were black, and 57% were male. The mean age was 11 years (SD: 2.1 years). An episode of poor asthma control was defined as > or =1 of the following each month: (1) an absence from school attributable to respiratory illness/asthma; (2) average use of rescue medication >2 times per week (not including preexercise treatment); or (3) > or =1 red or yellow peak flowmeter reading. RESULTS: Two hundred forty children completed the study. There were no differences in the likelihood of an episode of poor asthma control between the baseline period and the follow-up period for the usual-care group. For the supervised-therapy group, however, the odds of experiencing an episode of poor asthma control during the baseline period were 1.57 times the odds of experiencing an episode of poor asthma control during the follow-up period. Generalized estimating equation modeling revealed a marginally significant intervention-time period interaction, indicating that children in the supervised-therapy group showed greater improvement in asthma control. CONCLUSIONS: Supervised asthma therapy improves asthma control. Clinicians who have pediatric patients with asthma with poor outcomes that may be attributable to nonadherence should consider supervised therapy.

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BACKGROUND: Inhaled corticosteroids, when properly used, can offer considerable protection against asthma-related morbidity. However, adherence to prescribed inhaled steroids among children is low and rates differ markedly by population. The lowest rates of adherence and highest rates of morbidity are among inner-city and low income populations. PURPOSE: To describe the design of a school-based clinical trial in a largely minority population that is examining the efficacy of a school-based intervention intended to increase adherence to daily inhaled corticosteroids. METHODS: The supervised asthma therapy study is a two-group randomized longitudinal trial. Children were randomly assigned to either school-based supervised asthma therapy or parent supervised asthma therapy. Children were followed longitudinally for 15 months. The primary outcome of the study is the time-averaged difference between the two groups in the percentage of children experiencing at least one asthma exacerbation each month. RESULTS: A web-based data collection system was designed to capture data at school. A total of 295 students, recruited from community and school sites, who attended one of 36 urban elementary schools enrolled in the study and 290 were randomized. The average age of the students was 10.0 years (sd=2.1), 91% were African American, 8% were white, and 1% were of other racial groups. 57% of students were male. The study has been recently completed and results are being analyzed. CONCLUSIONS: Intervention studies requiring daily medication supervision and daily data collection can be successfully conducted within the elementary school environment.

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Health literacy was assessed in pediatric asthma caregivers attending a university-based clinic. The medical provider's perception of caregiver health literacy was also examined. Eighty-six percent of the caregivers had adequate health literacy, 4% and 10% had marginal and inadequate health literacy, respectively. Health literacy was significantly higher for caregivers who were younger (p = 0.039) and had a higher level of education (p = 0.037). An agreement analysis revealed moderate agreement between provider perception of caregiver's health literacy and measured health literacy (Kappa = 0.51). The results suggest that medical providers may not accurately assess caregivers' actual health literacy level.

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OBJECTIVE: The purpose of this study was to validate a 3-stage asthma case-detection procedure for elementary school-aged children. METHODS: The study was performed in 10 elementary schools in 4 inner-city school systems, with a total enrollment of 3539 children. Results of the case-detection procedure were compared with the diagnosis of an asthma specialist study physician, to determine the sensitivity and specificity of the case-detection procedure. RESULTS: Ninety-eight percent of children returned the asthma symptoms questionnaires, and 79% of those children consented to additional testing. Results indicated that the 3-stage procedure had good validity, with sensitivity, specificity, and predictive value of 82%, 93%, and 93%, respectively. A 2-stage procedure using questionnaires and spirometry had similar validity, with sensitivity, specificity, and predictive value of 78%, 93%, and 93%, respectively. However, given the time and expense associated with the 2- or 3-stage procedure and the difficulty of obtaining physician follow-up evaluation of the case-detection diagnosis, schools may prefer to use a 2-item questionnaire that has a lower sensitivity (66%) but higher specificity (96%) and predictive value (95%). CONCLUSIONS: Case-detection programs are generally well received by school personnel and can identify children with unrecognized or undiagnosed disease, as well as those with a current diagnosis but poorly controlled disease. This study yields substantial information regarding the validity, yield, and specific types of children who might be identified with the use of such procedures. For the choice of the method of case detection used in a school, the strengths and weaknesses of each procedure, as well as the resources available for case detection, physician referral, and follow-up procedures, must be considered.

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