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 asthma control question for the physician. It achieved a predictive accuracy of 76.2%. The estimation
and validation sub-sample accuracies of 76.7% and 75.3%, respectively, were consistent with the tool’s predictive accuracy at 95% confidence
level; and their 1.4 percentage-points difference set upper-bound estimate for the degree of over-fitting. Conclusions: The Profiling Tool is
highly predictive (>75%) of the attitudinal clusters that best describe patients with asthma in the Asian population. By identifying the attitudinal
profile of the patient, the physician can make the appropriate asthma management decisions in practice. The challenge is to integrate its use into
the consultation workflow and apply to areas where Internet resources are not available or patients who are not comfortable with the use of such
technology.
| Original language | English |
|---|---|
| Pages (from-to) | 43-51 |
| Number of pages | 9 |
| Journal | Allergy, Asthma & Immunology Research |
| Volume | 9 |
| Issue number | 1 |
| Early online date | 29 Aug 2016 |
| DOIs | |
| Publication status | Published - Jan 2017 |
Bibliographical note
This study was supported and funded by Mundipharma Pte Ltd. Online survey and statistical analysis were performed by Pei-Li Teh, Rachel Howard, Tsin-Li Chua and Jie Sun of Research Partnership Pte Ltd. Medical writing support was provided by Sen-Kwan Tay of Research2Trials Clinical Solutions Pte Ltd.The authors received honoraria from Mundipharma for their participation in the REALISE Asia Working Group meetings and discussions. Prof Price has Board membership with Mundipharma; and had received consultancy and speaker fees, grants and unrestricted funding support from Mundipharma; and payment for manuscript preparation and travel/accommodations/meeting expenses from Mundipharma. Profs Liam and David-Wang are members of the Asia-Pacific Advisory Board of Mundipharma. Profs Cho and David-Wang had received speaker fees from Mundipharma in the past. Dr Neira was an employee of Mundipharma Pte Ltd, Singapore. Ms Teh is an employee of Research Partnership Pte Ltd which conducted the REALISE Asia survey for Mundipharma. Prof Cho is a member of the Editorial Board of Allergy, Asthma & Immunology.
Keywords
- asthma
- discriminant analysis
- disease management
- Asia