Observational studyBMJ open2019
Determinants of inter-practice variation in childhood asthma and respiratory infections: cross-sectional study of a national sentinel network.
Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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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
1 citing paper in PubMed.
- Machine learning prediction and explanatory models of serious infections in patients with rheumatoid arthritis treated with tofacitinib.Arthritis research & therapy · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesRespiratory infections are associated with acute exacerbations of asthma and accompanying morbidity and mortality. In this study we explore inter-practice variations in respiratory infections in children with asthma and study the effect of practice-level factors on these variations.
designCross-sectional study.
settingWe analysed data from 164 general practices in the Royal College of General PractitionersResearch and Surveillance Centresentinel network in England.
participantsChildren 5-12 years.
interventionsNone. In this observational study, we used regression analysis to explore the impact of practice-level determinants on the number of respiratory infections in children with asthma. PRIMARY AND SECONDARY OUTCOME MEASURES: We describe the distribution of childhood asthma and the determinants of upper/lower respiratory tract infections in these children.
results83.5% (137/164) practices were in urban locations; the mean number of general practitioners per practice was 7; and the mean duration since qualification 19.7 years. We found almost 10-fold difference in the rate of asthma (1.5-11.8 per 100 children) and 50-fold variation in respiratory infection rates between practices. Larger practices with larger lists of asthmatic children had greater rates of respiratory infections among these children.
conclusionWe showed that structural/environmental variables are consistent predictors of a range of respiratory infections among children with asthma. However, contradictory results between measures of practice clinical care show that a purely structural explanation for variability in respiratory infections is limited. Further research is needed to understand how the practice factors influence individual risk behaviours relevant to respiratory infections.
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