Estimating asthma control questionnaire (ACQ) scores from claims data.

BACKGROUND: Asthma control is the main focus of treatment guidelines. Valid instruments such as the Asthma Control Questionnaire (ACQ) require prospective survey. These surveys may be challenging for large population health applications. OBJECTIVE: To develop an algorithm for estimating ACQ-5 scores from commonly available claims data. METHODS: Data was derived from four prospective surveys including the ACQ-5 combined with retrospective claims of Kaiser Permanente of Colorado (KPCO) patients. The statistical approach consisted of derivation and validation of a prediction algorithm including medical and pharmacy claims data using stepwise regression elimination. Validation was conducted by estimating mean squared error (MSE) and mean absolute error (MAE) in one hundred split-sample iterations. Ordinary least squares (OLS), Tobit and Median regression were used. RESULTS: There were 2,657 individuals with valid ACQ-5 scores, claims and eligibility at baseline. The following had statistically significant associations with ACQ-5 scores: gender, use of oral corticosteroids and short-acting beta agonists, the number of asthma drug classes, and emergency and outpatient visits. Average MSE and MAE were similar for the estimation and validation samples. CONCLUSION: This research provides preliminary results of the feasibility of predicting ACQ-5 scores using commonly available medical and pharmacy claims data. The resulting algorithm may facilitate public health and population level analyses of asthma control. Future studies in different populations will be important to validate the algorithm.

The relationship between asthma, asthma control and economic outcomes in the United States.

OBJECTIVE: Asthma, a serious chronic lung disease affecting approximately 26 million Americans, remains clinical and economic burdens on the healthcare system. Although associations between uncontrolled asthma and poor health outcomes is known, the extent of this impact of uncontrolled asthma on economic outcomes in the United States (US) is unknown. We sought to determine the relationship between asthma, asthma control and economic outcomes in the US. METHODS: The 2008-2010 Medical Expenditure Panel Surveys were used to estimate the impact of uncontrolled asthma (asthma-related emergency department [ED] visit, use of >3 canisters of quick-relief inhaler in past 3 months or asthma attack in past 12 months) on medical expenditures, utilization and productivity. Estimates were generated using multivariate regression controlling for sociodemographics and comorbidity. RESULTS: Medical expenditures attributable to asthma were up to $4423 greater for those with markers of uncontrolled asthma compared with those who did not have asthma. Frequency of hospital discharges were up to 4.6-fold greater for those with uncontrolled asthma than those without asthma (p < 0.01), while all others with asthma did not have significantly more discharges. ED visits were up to 1.8-fold greater for those with uncontrolled asthma compared with those without asthma (p < 0.01). Productivity was significantly (p < 0.01) decreased (more likely to be unemployed, more days absent from work and more activity limitations) for those with uncontrolled asthma. CONCLUSIONS: In recent national data, individuals with asthma and markers of uncontrolled asthma had higher medical expenditures, greater utilization and decreased productivity.