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Dataset Information

Development and Validation of an Attitudinal-Profiling Tool for Patients With Asthma.


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