title: Agreement among measures of asthma status: a prospective study of low-income children with moderate to severe asthma.
abstract: BACKGROUND
  Because no validated "gold standard" for measuring asthma outcomes exists, asthma interventions are often evaluated using a large number of disease status measures. Some of these measures may be redundant, whereas others may be complementary. Use of multiple outcomes may lead to ambiguous results, increased type I error rates, and be an inefficient use of resources including caregiver and patient/participant time and effort. Understanding the relationship between these measures may facilitate more parsimonious and valid evaluation strategies without loss of information.
  
  
  OBJECTIVE
  To assess the relationships between multiple measures of asthma disease status over time.
  
  
  METHODS
  We used data from a randomized, controlled trial of a comprehensive disease management program involving 119 disadvantaged inner-city children aged 5 to 12 years with moderate to severe asthma. Spearman correlations were calculated between the following asthma disease status measures: parent-reported disease symptoms, parent-reported health care utilization, functional health status using the American Academy of Pediatrics' validated Child Health Survey for Asthma (CHSA), diary data (symptom scores, night wakings, and bronchodilator use), and pulmonary function tests at baseline, 32 weeks, 52 weeks, and changes from baseline to 52 weeks.
  
  
  RESULTS
  Ninety-four (79%) of randomized patients participated at baseline and 52 weeks. Completion rates for outcome measures ranged from 79% (CHSA, spirometry data) to 64% (diary data). At baseline, asthma symptoms, health care utilization, and individual domains from the CHSA were significantly correlated (r = 0.21-0.53). These correlations were stable over the 52-week follow-up. Forced expiratory volume in 1 second and diary data did not correlate to any other measures at baseline, and these measures correlated only inconsistently with other measures at 32 weeks and 52 weeks. Baseline to 52-week changes in asthma symptoms, utilization, and the CHSA domains were significantly correlated (0.22-0.56), as were baseline to 52-week changes in symptom days, night wakings, and the CHSA domains (r = 0.24-0.64). Baseline to 52-week changes in forced expiratory volume in 1 second and diary data did not correlate with other measures.
  
  
  CONCLUSIONS
  These results suggest that asthma status and change in asthma status over time after introduction of a disease management intervention are best characterized by parent-reported symptoms, parent-reported utilization, and functional health status measures. Asthma diaries and pulmonary function tests did not seem to provide additional benefit, although they may play an important role in individual patient management. Our findings suggest a parsimonious evaluation strategy would include collection of key data elements regarding symptoms, utilization, and functional health status only, without loss of vital response information.
mesh_terms: D001249:Asthma / Q000175:diagnosis* / Q000178:diet therapy / Q000453:epidemiology; D001294:Attitude to Health; D002140:California / Q000453:epidemiology; D002648:Child; D002675:Child, Preschool; D005192:Family Health; D005260:Female; D019538:Health Care Surveys; D006296:Health Services / Q000706:statistics & numerical data; D006305:Health Status Indicators; D006801:Humans; D008297:Male; D008499:Medical Records / Q000706:statistics & numerical data; D010290:Parents / Q000523:psychology; D011203:Poverty / Q000706:statistics & numerical data*; D011446:Prospective Studies; D012129:Respiratory Function Tests / Q000379:methods / Q000706:statistics & numerical data; D012720:Severity of Illness Index; D013147:Spirometry / Q000379:methods / Q000706:statistics & numerical data; D011795:Surveys and Questionnaires; D014505:Urban Population / Q000706:statistics & numerical data