ArticleHealth and quality of life outcomes2020
Validation of subscales of the Severe Asthma Questionnaire (SAQ) using exploratory factor analysis (EFA).
Article in Health and quality of life outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Validity and Responsiveness of EQ-5D in Asthma: A Systematic Review and Meta-analysis.The patient · 2025Pooled it
- Translation, cross-cultural adaptation and initial psychometric evaluation of the Indonesian PSPSQ 2.0 in community pharmacies and public primary healthcare centres.Exploratory research in clinical and social pharmacy · 2026Article
- Psychometric validation of the Chinese version of the Scratch Intensity and Impact Scale (SIIS) in patients with chronic pruritus.Frontiers in public health · 2026Article
- Psychometric validation of a knowledge, attitudes, and practices (KAP) scale for breast cancer screening among Chinese women.BMC public health · 2025Article
- Understanding Health Equity in Patient-Reported Outcomes.The journal of allergy and clinical immunology. In practice · 2024Review
- Article
- Developing an Instrument to Measure Public Health Nurses' Competence Related to Breastfeeding Beyond 12 Months.Journal of human lactation : official journal of International Lactation Consultant Association · 2024Article
- Exploring Barriers to Healthy Eating Among Women in Their Role as New Mothers with a Theory-Driven Questionnaire.Maternal and child health journal · 2023Article
- Definitions of non-response and response to biological therapy for severe asthma: a systematic review.ERJ open research · 2023Review
- Update on Type-1 Allergy Diagnostics.Handbook of experimental pharmacology · 2022Article
- The Severe Asthma Questionnaire: sensitivity to change and minimal clinically important difference.The European respiratory journal · 2021Article
- Comparison of the sensitivity of patient-reported outcomes for detecting the benefit of biologics in severe asthma.Chronic respiratory diseaseArticle
Corrections and comments
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Authors and funding
8 authors at 7 institutions in 1 country.
Funding
Abstract
backgroundThe Severe Asthma Questionnaire (SAQ) is a health related quality of life (HRQoL) questionnaire validated for use in severe asthma. It is scored using the mean value of 16 items (SAQ score) in addition to a single item global rating of HRQoL (SAQ-global). The aim was to validate clinically relevant subscales using exploratory factor analysis (EFA).
methodsThe SAQ was completed, along with measures of asthma control and EQ5D-5L by patients attending six UK severe asthma centres. Clinical data were included in the analysis. EFA using principal axis factoring and oblimin rotation was used to achieve simple structure of data.
results460 patients with severe asthma participated, 65% women, mean age 51 (16-83) years. A three factor solution achieved best fit and showed that the SAQ items formed three distinct but inter-correlated groups of items where items were grouped in a way that was consistent with item content. The three subscales were differentially associated with clinically relevant variables (lung function and mood). Males and females interpreted the question of night disturbance in different ways.
conclusionsThis paper provides a template for best practice in the use of EFA when validating HRQoL subscales. The SAQ can be scored as three subscales with content reflecting three different constructs people with severe asthma use when making judgements about their lives. The subscale 'My Life' assesses the impact of severe asthma on different life activities, 'My Mind' assesses the perceived emotional impact and 'My Body' the impact of extra-pulmonary symptoms and side effects.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.