Acute respiratory infections (ARI) including bronchiolitis, pneumonia and influenza are a major cause of hospital admissions in children worldwide. Linkage of administrative health datasets provides a platform to investigate temporal and seasonal trends in large populations over many years. We examined the similarities and differences in ARI admissions using linked datasets in Western Australia and England.
Through the availability of common data items in each jurisdiction, identical coding and data cleaning principles were applied to both datasets. Hospital admissions for ARI in children aged <5 years between 2000 and 2012 were identified using International Classification of Diseases diagnosis codes. Admission rates per 1000 child-years by age, gender and admission year were calculated in each jurisdiction. A total population birth cohort was available in Western Australia and the denominator was person time at risk whereas for England, all hospitalisations were used with the mid-year population as the denominator.
The overall incidence of ARI was 18.3/1000 child-years in Western Australia and 14.4/1000 in England. In both countries, the highest incidence of ARI was observed in infants (47.9/1000 child-years in Western Australia and 42.1/1000 child-years in England). Bronchiolitis was the most common primary diagnosis in infants in both countries, accounting for 79.7% of ARI admissions in Western Australia and 78.3% in England. The most common primary diagnosis in 1-4 year olds was unspecified lower respiratory tract infections in England (48.8% of ARI admissions in this age group) and pneumonia in Western Australia (43.9% of ARI admissions in 1-4-year-olds). The annual incidence rate for ARI hospitalisations declined in Western Australia from 2000 to 2006 and since remained steady. ARI admission rates increased in England throughout the study period. Admission rates across all age groups were 1.1-1.5 times higher in boys than girls in both countries.
The availability of similar datasets in two economically similar countries in different hemispheres has afforded the opportunity to characterise and compare the epidemiology of paediatric respiratory infections over a 13 year period. Future analyses will allow us to assess differences in coding practices, seasonality and risk factors such as socio-economic deprivation and prematurity. Furthermore the availability of linked laboratory data for respiratory pathogens in each jurisdiction will allow for comparisons of pathogen-specific epidemiology and the impact of universal vaccination programs.
Most read articles by the same author(s)
- Rachel Reeves, Pia Hardelid, Ruth Gilbert, Nikolaos Panagiotopoulos, Mehdi Minaji, Richard Pebody, Using probabilistically linked data to investigate the burden of Respiratory Syncytial Virus (RSV) in children <5 years of age on secondary care in England , International Journal of Population Data Science: Vol 1 No 1 (2017): IJPDS
- Hannah Moore, Lisa McCallum, Parveen Fathima, Nicholas de Klerk, Bette Liu, Tom Snelling, Christopher Blyth, Peter McIntyre, Heather Gidding, Linking the Australian Childhood Immunisation Register to population-based perinatal datasets to assess coverage in at-risk groups , International Journal of Population Data Science: Vol 1 No 1 (2017): IJPDS
- Melissa O'Donnell, Scott Sims, Miriam Maclean, Arturo Gonzalez-Izquierdo, Ruth Gilbert, Fiona Stanley, Alcohol-related injury admission trends in adolescents: A comparison between Western Australia and England , International Journal of Population Data Science: Vol 1 No 1 (2017): IJPDS
- Heather Gidding, Hannah Moore, Lisa McCallum, Parveen Fathima, Thomas Snelling, Nicholas de Klerk, Peter McIntyre, Population-based estimates of the effectiveness of pneumococcal vaccination in Australia , International Journal of Population Data Science: Vol 1 No 1 (2017): IJPDS
- Katie Harron, Ruth Gilbert, Astrid Guttmann, David Cromwell, Jan van der Meulen, Neonatal and infant readmissions for late preterm and early term babies in Ontario and England: a cohort study using linked population-level healthcare data , International Journal of Population Data Science: Vol 1 No 1 (2017): IJPDS
- Louise Mc Grath-Lone, Katie Harron, Lorraine Dearden, Bilal Nasim, Ruth Gilbert, Exploring local variation in the use of out-of-home care in England using linked administrative data , International Journal of Population Data Science: Vol 1 No 1 (2017): IJPDS
- Linda Wijlaars, Ania Zylbersztejn, Maximiliane Verfürden, Ruth Gilbert, Pia Hardelid, Phenotyping congenital anomalies in England and Scotland: a comparison of three coding clusters using retrospective hospital data , International Journal of Population Data Science: Vol 1 No 1 (2017): IJPDS