The performance of marginal structural models for estimating risk differences and relative risks using weighted univariate generalized linear models
Austin PC. Stat Methods Med Res. 2024; Apr 24 [Epub ahead of print].
Objectives — To demonstrate the challenges of interpreting cross-country comparisons of paediatric asthma hospital admission rates as an indicator of primary care quality.
Methods — We used hospital administrative data from >10 million children aged 6-15 years, resident in Austria, England, Finland, Iceland, Ontario (Canada), Sweden or Victoria (Australia) between 2008 and 2015. Asthma hospital admission and emergency department (ED) attendance rates were compared between countries using Poisson regression models, adjusted for age and sex.
Results — Hospital admission rates for asthma per 1000 child-years varied eight-fold across jurisdictions. Admission rates were 3.5 times higher when admissions with asthma recorded as any diagnosis were considered, compared with admissions with asthma as the primary diagnosis. Iceland had the lowest asthma admission rates; however, when ED attendance rates were considered, Sweden had the lowest rate of asthma hospital contacts.
Conclusions — The large variations in childhood hospital admission rates for asthma based on the whole child population reflect differing definitions, admission thresholds and underlying disease prevalence rather than primary care quality. Asthma hospital admissions among children diagnosed with asthma is a more meaningful indicator for inter-country comparisons of primary care quality.
Lut I, Lewis K, Wijlaars L, Gilbert R, Fitzpatrick T, Lu H, Guttmann A, Goldfield S, Lei S, Gunnlaugsson G, Jónsson SH, Mechtler R, Gissler M, Hjern A, Hardelid P. J Health Serv Res Policy. 2021; 26(4):251-62. Epub 2021 Jul 28.
The ICES website uses cookies. If that’s okay with you, keep on browsing, or learn more about our Privacy Policy.