ArticleBMC family practice2004
Development of a questionnaire weighted scoring system to target diagnostic examinations for asthma in adults: a modelling study.
Article in BMC family practice, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Methodological and applicability pitfalls of clinical prediction models for asthma diagnosis: a systematic review and critical appraisal of evidence.BMC medical research methodology · 2025Pooled it
- Systematic review of clinical prediction models to support the diagnosis of asthma in primary care.NPJ primary care respiratory medicine · 2019Pooled it
- Easy diagnosis of asthma: computer-assisted, symptom-based diagnosis.Journal of Korean medical science · 2007Trial
- Defining complexity in anaesthesia: description and validation of the Oxford Anaesthetic Complexity (OxAnCo) score.Anaesthesia · 2022Article
- A critical review of scoring options for clinical measurement tools.BMC research notes · 2015Review
- A scoring algorithm for predicting the presence of adult asthma: a prospective derivation study.Primary care respiratory journal : journal of the General Practice Airways Group · 2013Article
- Design of a virtual reality based adaptive response technology for children with autism.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2013Article
- Extending basic principles of measurement models to the design and validation of Patient Reported Outcomes.Health and quality of life outcomes · 2006Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentification and treatment of unrecognised asthmatics in the community is important for improving the health of the individual and minimising cost and quality of life burden. It is not practical to offer clinical diagnostic assessment to whole communities, and a simple tool such as a questionnaire is required to identify a smaller target group. Conventional questionnaire screening methods which separate individuals into positive and negative categories have resulted in large numbers of individuals requiring clinical assessment. This study has therefore developed and tested a weighted scoring system that prioritises those most urgently in need, based on their questionnaire responses.
methodsA stratified random sample of adult respondents to a general practice postal questionnaire survey were categorised 'asthmatic' or 'non-asthmatic' according to three expert physicians' opinions. Based on this categorisation, logistic regression was used to derive weights reflecting the relative importance of each question in predicting asthma, allowing calculation of weighted scores reflecting likelihood of asthma. Respondents scoring higher than a chosen threshold would be offered diagnostic examination.
resultsAge and presence of wheeze were most influential (weight 3) and overall weighted scores ranged from -1 to 13. Positive predictive values (PPV) were estimated. For example, setting the threshold score at nine gave an estimated PPV for asthma diagnosis of 93.5%, a threshold score of seven corresponded to PPV 78.8%. PPV estimates were supported by examining 145 individuals from a new survey.
conclusionWeighted scoring of questionnaire responses provides a method for evaluating the priority level of an individual 'at a glance', minimising the resource wastage of examining false positives.
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