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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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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
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author Akmatov, Manas K
Holstiege, Jakob
Steffen, Annika
Bätzing, Jörg
author_facet Akmatov, Manas K
Holstiege, Jakob
Steffen, Annika
Bätzing, Jörg
author_sort Akmatov, Manas K
collection PubMed
description 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.
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spelling pubmed-69334322020-01-04 Trends and regional distribution of outpatient claims for asthma, 2009–2016, Germany Akmatov, Manas K Holstiege, Jakob Steffen, Annika Bätzing, Jörg Bull World Health Organ Research 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. World Health Organization 2020-01-01 2019-11-01 /pmc/articles/PMC6933432/ /pubmed/31902961 http://dx.doi.org/10.2471/BLT.19.229773 Text en (c) 2020 The authors; licensee World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Research
Akmatov, Manas K
Holstiege, Jakob
Steffen, Annika
Bätzing, Jörg
Trends and regional distribution of outpatient claims for asthma, 2009–2016, Germany
title Trends and regional distribution of outpatient claims for asthma, 2009–2016, Germany
title_full Trends and regional distribution of outpatient claims for asthma, 2009–2016, Germany
title_fullStr Trends and regional distribution of outpatient claims for asthma, 2009–2016, Germany
title_full_unstemmed Trends and regional distribution of outpatient claims for asthma, 2009–2016, Germany
title_short Trends and regional distribution of outpatient claims for asthma, 2009–2016, Germany
title_sort trends and regional distribution of outpatient claims for asthma, 2009–2016, germany
topic Research
url 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
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