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Aims: To evaluate whether the Asthma Control Test™ (ACT) score is predictive of Global Initiative for Asthma (GINA) guideline-defined classification levels of asthma control. The ACT is a validated, 5-item, patient-completed measure of asthma control with a recall period of four weeks. Methods: Cross-sectional survey comparing ACT score and GINA classification of asthma control among 2949 patients attending primary care physicians and specialists in France, Germany, Italy, Spain, the UK, and the USA. Results: The area under the receiver operating characteristics curve for ACT score predicting GINA control was 0.84 (95% CI 0.82-0.85). An ACT score of ≤19 (not well-controlled asthma) correctly predicted GINA-defined partly controlled/uncontrolled asthma 94% of the time, while an ACT score of ≥20 predicted GINA-defined controlled asthma 51% of the time, with kappa statistic of 0.42, representing moderate agreement. Conclusions: An ACT score ≤19 is useful for identifying patients with poorly controlled asthma as defined by GINA. [ABSTRACT FROM AUTHOR]

Purpose: To develop a mapping algorithm for the estimation of EQ-5D-based utility scores from observed 25-item National Eye Institute Visual Functioning Questionnaire (NEI VFQ-25) scores, a disease-specific, patient-reported outcome measure used in several retinal disorders to evaluate vision-specific functioning., Methods: The dataset comprised 951 paired EQ-5D/NEI VFQ-25 observations from 344 patients in RESTORE, a 12-month, randomized, double-blind trial in individuals with visual impairment due to diabetic macular edema. EQ-5D index scores (utilities) were calculated based on the UK tariff. We evaluated 11 models using predictor sets based on the NEI VFQ-25 subscales to estimate utility as a function of NEI VFQ-25 score, based on four modeling techniques. Model performance was assessed by 10-fold cross-validation comparing root mean squared error (RMSE), mean absolute error (MAE) and correlation with EQ-5D score (Pearson and Spearman correlation coefficients)., Results: Mapping results were similar across all techniques and predictor sets. The reverse two-part generalized estimating equation model used fewest predictors and had the best predictive performance (RMSE 0.200, MAE 0.140). Predicted and original EQ-5D values were not strongly correlated (squared Spearman correlation coefficient, 0.34)., Conclusions: Although mapping disease-specific instruments to EQ-5D utilities is a preferred method by some reimbursement bodies, finding an appropriate mapping equation is not straightforward. In this study, mapping NEI VFQ-25 scores to EQ-5D utilities provided low predictive power, independent of the modeling methodology applied, suggesting an inability of the EQ-5D to discriminate vision-related activities, and highlighting that mapping exercises may lead to inaccurate utility values that do not represent patients' preferences.

Objectives: To provide a mapping algorithm for estimating EuroQol five-dimensional (EQ-5D) questionnaire index scores from the Incontinence-specific Quality of Life questionnaire (I-QOL) based on nationally representative samples of patients with idiopathic or neurogenic overactive bladder (OAB) using EQ-5D questionnaire preference valuations based on both the UK and US general populations., Methods: Analyses were conducted for 2505 patients from the Adelphi Overactive Bladder Disease Specific Programme, a cross-sectional study of patients with idiopathic or neurogenic OAB, undertaken in the United States and Europe in 2010. A range of statistical modeling techniques was used. Tenfold cross-validation techniques were used to calculate mean absolute error (MAE) and root mean squared error (RMSE) goodness-of-fit statistics. Various predictor lists, together with a method combining stepwise selection with multivariable fractional polynomial techniques to allow nonlinear relationships to feature, were pursued., Results: Choice of predictors was consistent for both the UK and US EQ-5D questionnaire tariffs. For idiopathic, the best model included the I-QOL total score and age (both modeled nonlinearly.) For neurogenic, the best model was the I-QOL social embarrassment domain score modeled linearly only. Best-fit results were better in the idiopathic (n = 2351; MAE = 0.10; RMSE = 0.14) than in the neurogenic sample (n = 254; MAE = 0.17; RMSE = 0.22)., Conclusions: This research provides algorithms for mapping EQ-5D questionnaire index scores from the I-QOL, allowing calculation of appropriate preference-based health-related quality-of-life scores for use in cost-effectiveness analyses when only I-QOL data are available. The strongest results were for idiopathic patients, but those for neurogenic are consistent with those of other published mapping studies., (Copyright © 2013 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.)

The focus of this paper is to examine the surge in the development of post-PharmD industry fellowships (ie, pharmacy fellowship programs sponsored by the biopharmaceutical or pharmaceutical industry). These post-PharmD training programs do not fit the currently accepted definition of a pharmacy fellowship; therefore, the authors propose a new and distinct definition to encompass these fellowships. The authors provide program examples to showcase the establishment of the post-PharmD industry fellowship institutional centers. Finally, the authors provide recommendations to create uniformity in the programs of this relatively new category of post-PharmD training.