Geographies of asthma medication purchase for pre-schoolers in Belgium
Abstract Background Wheezing among children below the age of six (pre-schoolers) is common and often triggered by environmental factors. Moreover, evidence on which to base recommendations for its management is limited, resulting in high numbers of prescriptions and costs. This study aims to describe the spatial differences in asthma medication sales for children aged 0 to 5 years in Belgium, and to evaluate the correlations with socio-economic and environmental factors. Methods This ecological study includes information on prescribed and sold asthma medication (R03 ATC code) for all the pre-s... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2019 |
Reihe/Periodikum: | Respiratory Research, Vol 20, Iss 1, Pp 1-10 (2019) |
Verlag/Hrsg.: |
BMC
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Schlagwörter: | Diseases of the respiratory system / RC705-779 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26613448 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.1186/s12931-019-1052-8 |
Abstract Background Wheezing among children below the age of six (pre-schoolers) is common and often triggered by environmental factors. Moreover, evidence on which to base recommendations for its management is limited, resulting in high numbers of prescriptions and costs. This study aims to describe the spatial differences in asthma medication sales for children aged 0 to 5 years in Belgium, and to evaluate the correlations with socio-economic and environmental factors. Methods This ecological study includes information on prescribed and sold asthma medication (R03 ATC code) for all the pre-schoolers registered in Belgium, aggregated at the municipality and smaller administrative levels, in 2014. A case was defined as a pre-schooler having purchased prescribed R03 medication at least once in 2014. We mapped the number of cases, the prevalence of medication purchase (n cases/n registered pre-schoolers) and the costs per case (€) at different administrative levels. We used symbol maps for the number of cases and choropleth maps for prevalence and costs per case using Jenks discretization at the municipal level, and standard deviation at finer scales. Finally, we calculated Pearson correlations of medication prevalence and costs per case with socio-economic (population density and area median income), and environmental (PM10, pig density and green spaces) factors. Results The number of medication purchases was large in cities. The prevalence of purchase was higher in the French- than in the Flemish-speaking region, showing a sharp linguistic border. The cost per case was concentrated in one specific region in the north-west of Belgium. We found inverse correlations of prevalence of purchase with area median income and PM10 concentrations, and positive moderate correlations with green spaces and pig density. The costs per case were weakly but positively correlated with PM10 concentrations and green spaces, and moderately with pig density. Conclusions In Belgium, the geographical distribution of purchases of ...