ArticleHealth and quality of life outcomes2008
Comparing a disease-specific and a generic health-related quality of life instrument in subjects with asthma from the general population.
Article in Health and quality of life outcomes, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
MS Wellness Navigator: The Effect of Nurse Practitioner (NP-led) Care on Mood, Anxiety and Health Related Quality of Life in People With Multiple Sclerosis - A Randomized Trial
Using Patient-Reported Outcomes To Improve the Care of People With Multiple Sclerosis: A Randomized Trial
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- A COSMIN systematic review of generic patient-reported outcome measures in Switzerland.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Pooled it
- Health-related quality of life in asthma measured by the World Health Organization brief questionnaire (WHO-BREF) and the effect of concomitant allergic rhinitis-A population-based study.The clinical respiratory journal · 2025Article
- Health-related quality of life as associated with asthma control, psychological status and insomnia.Upsala journal of medical sciences · 2022Article
- EQ-5D-5L Slovenian population norms.Health and quality of life outcomes · 2020Article
- The ostomy leak impact tool: development and validation of a new patient-reported tool to measure the burden of leakage in ostomy device users.Health and quality of life outcomes · 2018Article
- Abbreviated World Health Organization Quality of Life questionnaire (WHOQOL-Bref) in north Indian patients with bronchial asthma: an evaluation using Rasch analysis.NPJ primary care respiratory medicine · 2014Article
- Developing an item bank and short forms that assess the impact of asthma on quality of life.Respiratory medicine · 2014Article
- Interviewer versus self-administered health-related quality of life questionnaires - does it matter?Health and quality of life outcomes · 2011Article
- A Computerized Asthma Outcomes Measure Is Feasible for Disease Management.The American journal of pharmacy benefits · 2010Article
- Measuring health-related quality of life in population-based studies of coronary heart disease: comparing six generic indexes and a disease-specific proxy score.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2009Article
- Changes in health-related quality of life and clinical implications in Chinese patients with chronic cough.Cough (London, England) · 2009Article
- The relationship between quality of life and aerobic fitness in patients with rheumatoid arthritis.Clinical rheumatology · 2009Article
- Comparison of health-related quality of life measures in asthma-COPD overlap.Chronic respiratory diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFew epidemiologic studies have assessed health-related quality of life (HRQL) of asthma patients from a general population and it is unclear which instrument is best suitable for this purpose. We investigated the validity of the Asthma Quality of Life Questionnaire (AQLQ) and the SF-36 completed by individuals with asthma from the population-based SAPALDIA (Swiss study on air pollution and lung diseases in adults) cohort.
methodsThe study included 258 participants with a physician-diagnosed asthma who had completed the AQLQ and SF-36. We assessed floor and ceiling effects, internal consistency reliability and cross-sectional validity with a priori hypotheses that correlations between the specific HRQL domains (e.g. "symptoms" or "physical functioning") and the corresponding external validation measures (respiratory symptoms, need for doctor visits, limitation in activities due to asthma and lung function) would capture similar aspects and be correlated moderately (> or = 0.3) to strongly (> or = 0.5), whereas non-corresponding domains be correlated weakly with each other (<0.3).
resultsThe AQLQ showed pronounced ceiling effects with all median domain scores above 6 (scores varied from 1-7). For the SF-36, ceiling effects were present in 5 out of 8 domains. Cronbach's alpha was >0.7 for all AQLQ and SF-36 domains. Correlations between the AQLQ domains "respiratory symptoms", "activity limitation" and "environmental exposure", and the validation measures ranged from 0.29-0.57. Correlations between the "emotional function" domain and the validation measures were also in this range (0.31-0.55) and not as low as we hypothesized. For the SF-36, correlations between "physical functioning" and "role physical", and the validation measures ranged from 0.25-0.56, whereas "role emotional" and "mental health" correlated with these measures from 0.01-0.23.
conclusionThe AQLQ and the SF-36 showed fairly good internal consistency. Both instruments are limited by ceiling effects, but they appear less pronounced in the SF-36, which also shows a better discrimination between different aspects of HRQL. The SF-36 may therefore be a more valid measure of HRQL than the AQLQ when applied to individuals with asthma from the general population.
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Registered trials
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.