OBJECTIVE: To examine the merits of the Asthma Therapy Assessment Questionnaire (ATAQ) control index together with prior asthma health-care utilization from administrative data in predicting future acute asthma health-care utilization. DESIGN: Prospective cohort study. POPULATION: A total of 4,788 adult asthma patients aged 17 to 93 years who completed a baseline evaluation and had at least 6 months of follow-up data. STATISTICAL METHODS: Classification and regression tree methodology to predict future risk of acute health-care utilization events. RESULTS: These results show that the ATAQ control index and administrative data are jointly useful for predicting future health-care utilization. The utility of the ATAQ control index in the presence of information about prior health-care utilization is to further stratify risk among the subset of younger individuals who did not have any prior acute health-care utilization. While administrative health-care utilization data served as the strongest predictor of future health-care utilization, the ATAQ control index helped to identify 1% of individuals without recent acute care that had approximately a sixfold elevated risk (95% confidence interval, 4.2 to 8.4) of future acute health-care utilization. This is an important result since only a small fraction of individuals with acute events in a given year will have had acute events in the previous year. CONCLUSION: These findings should assist the practicing clinician and organizations interested in population-based asthma disease management.
OBJECTIVE: To examine the merits of the Asthma Therapy Assessment Questionnaire (ATAQ) control index together with prior asthma health-care utilization from administrative data in predicting future acute asthma health-care utilization. DESIGN: Prospective cohort study. POPULATION: A total of 4,788 adult asthmapatients aged 17 to 93 years who completed a baseline evaluation and had at least 6 months of follow-up data. STATISTICAL METHODS: Classification and regression tree methodology to predict future risk of acute health-care utilization events. RESULTS: These results show that the ATAQ control index and administrative data are jointly useful for predicting future health-care utilization. The utility of the ATAQ control index in the presence of information about prior health-care utilization is to further stratify risk among the subset of younger individuals who did not have any prior acute health-care utilization. While administrative health-care utilization data served as the strongest predictor of future health-care utilization, the ATAQ control index helped to identify 1% of individuals without recent acute care that had approximately a sixfold elevated risk (95% confidence interval, 4.2 to 8.4) of future acute health-care utilization. This is an important result since only a small fraction of individuals with acute events in a given year will have had acute events in the previous year. CONCLUSION: These findings should assist the practicing clinician and organizations interested in population-based asthma disease management.
Authors: Gregory B Diette; Shiva G Sajjan; Elizabeth A Skinner; Thomas W Weiss; Albert W Wu; Leona E Markson Journal: Patient Date: 2009-12-01 Impact factor: 3.883
Authors: Michelle M Cloutier; Michael Schatz; Mario Castro; Noreen Clark; H William Kelly; Rita Mangione-Smith; James Sheller; Christine Sorkness; Stuart Stoloff; Peter Gergen Journal: J Allergy Clin Immunol Date: 2012-03 Impact factor: 10.793
Authors: Gregory S Sawicki; Robert C Strunk; Brooke Schuemann; Robert Annett; Scott Weiss; Anne L Fuhlbrigge Journal: Ann Allergy Asthma Immunol Date: 2010-01 Impact factor: 6.347