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ABSTRACT: Purpose
To develop a profiling tool which accurately assigns a patient to the appropriate attitudinal cluster for the management of asthma.Methods
Attitudinal data from an online survey of 2,467 patients with asthma from 8 Asian countries/region, aged 18-50 years, having had ≥2 prescriptions in the previous 2 years and access to social media was used in a discriminant function analysis to identify a minimal set of questions for the Profiling Tool. A split-sample procedure based on 100 sets of randomly selected estimation and validation sub-samples from the original sample was used to cross-validate the Tool and assess the robustness of its predictive accuracy.Results
Our Profiling Tool contained 10 attitudinal questions for the patient and 1 GINA-based level of asth
SUBMITTER: David-Wang A
PROVIDER: S-EPMC5102835 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature