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Trends and regional distribution of outpatient claims for asthma, 2009–2016, Germany

OBJECTIVE: To investigate asthma morbidity in Germany by calculating current prevalence, examining its temporal and spatial trends and estimating the total number of asthmatics in Germany and calculating age-, sex- and residence-specific risk. METHODS: We used claims data reported by physicians duri...

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Detalles Bibliográficos
Autores principales: Akmatov, Manas K, Holstiege, Jakob, Steffen, Annika, Bätzing, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933432/
https://www.ncbi.nlm.nih.gov/pubmed/31902961
http://dx.doi.org/10.2471/BLT.19.229773
Descripción
Sumario:OBJECTIVE: To investigate asthma morbidity in Germany by calculating current prevalence, examining its temporal and spatial trends and estimating the total number of asthmatics in Germany and calculating age-, sex- and residence-specific risk. METHODS: We used claims data reported by physicians during 2009–2016, including outpatient diagnoses of all statutory health insured individuals, comprising 85.3% (70 416 019/82 521 653) of the total population in Germany in 2016. We performed a spatial analysis of asthma prevalence according to administrative district by calculating Global and Local Moran’s I. We assessed the risk of asthma by sex, age, type of residence (rural versus urban) and federal state (East versus West) using a multilevel parametric survival regression. FINDINGS: We estimated that 4.7 million individuals were affected by asthma in 2016, including 0.8 million children and 3.9 million adults. We observed a slightly higher prevalence (with an increasing trend) among adults (5.85%; 3 408 622/58 246 299) compared to children (5.13%; 624 899/12 169 720), and calculated an age-standardized prevalence of 5.76% (95% confidence interval, CI: 5.76–5.77). We found evidence of a strong spatial autocorrelation (Global Moran’s I: 0.50, P < 0.0001), and identified local spatial clusters with higher levels of prevalence. Living in the western (versus eastern) federal states and living in densely populated large urban municipalities (versus rural area) were independently associated with an increased risk of asthma, with hazard ratios of 1.33 (95% CI: 1.32–1.34) and 1.32 (95% CI: 1.31–1.32), respectively. CONCLUSION: Our insights into the spatial distribution of asthma morbidity may inform public health interventions, including region-specific prevention programmes and control.