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Screening tools for work-related asthma and their diagnostic accuracy: a systematic review
Ngamjit Kongsupon1,2, Peymane Adab1, Rachel E Jordan1
1Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Screening tools for work-related asthma (WRA) show high sensitivity but low specificity. Simple questions like "improvement off work" can aid early WRA detection, but further research is needed for better diagnostic accuracy.
Area of Science:
- Occupational Medicine
- Respiratory Medicine
- Diagnostic Accuracy Studies
Background:
- Work-related asthma (WRA) accounts for a significant portion of adult asthma cases.
- Delayed or missed clinical diagnosis of WRA leads to adverse health and employment outcomes.
- The diagnostic performance of existing WRA screening tools requires standardization and evaluation.
Purpose of the Study:
- To systematically review and compare the effectiveness of screening tools for identifying work-related asthma (WRA).
- To evaluate WRA screening tool performance in both clinical and occupational settings.
Main Methods:
- A comprehensive literature search was conducted across multiple databases for studies published between 1975 and 2024.
- Included studies utilized structured questionnaires or predictive models (with or without physiological tests) for WRA identification in individuals aged 16 years and above.
- Risk of bias was assessed using QUADAS-2 or PROBAST, and accuracy indices were summarized using forest plots.
Main Results:
- Seven studies were included, primarily conducted in tertiary and specialist hospital settings.
- Questionnaires alone ('improvement off work' or multiple questions) demonstrated high sensitivity (74-100%) but low specificity (8-58%) for WRA detection.
- Adding a methacholine challenge test improved specificity to 75% (sensitivity 65%), and diagnostic models achieved an AUC between 0.69-0.89, enhanced by demographic or objective data.
Conclusions:
- Screening questionnaires for WRA offer high sensitivity, suitable for initial case identification, despite low specificity.
- Incorporating demographic variables and objective tests can enhance the specificity and predictive accuracy of WRA screening models.
- Limited reporting and study numbers necessitate further WRA screening tool evaluations in primary care and workplace environments.
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