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Exploring the small-scale spatial distribution of hypertension and its association to area deprivation based on health insurance claims in Northeastern Germany

机译:基于德国东北部的医疗保险索赔,探索高血压的小范围空间分布及其与贫困地区的关系

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Hypertension is one of the most frequently diagnosed chronic conditions in Germany. Targeted prevention strategies and allocation of general practitioners where they are needed most are necessary to prevent severe complications arising from high blood pressure. However, data on chronic diseases in Germany are mostly available through survey data, which do not only underestimate the actual prevalence but are also only available on coarse spatial scales. The discussion of including area deprivation for planning of healthcare is still relatively young in Germany, although previous studies have shown that area deprivation is associated with adverse health outcomes, irrespective of individual characteristics. The aim of this study is therefore to analyze the spatial distribution of hypertension at very fine geographic scales and to assess location-specific associations between hypertension, socio-demographic population characteristics and area deprivation based on health insurance claims of the AOK Nordost. To visualize the spatial distribution of hypertension prevalence at very fine geographic scales, we used the conditional autoregressive Besag–York–Mollié (BYM) model. Geographically weighted regression modelling (GWR) was applied to analyze the location-specific association of hypertension to area deprivation and further socio-demographic population characteristics. The sex- and age-adjusted prevalence of hypertension was 33.1% in 2012 and varied widely across northeastern Germany. The main risk factors for hypertension were proportions of insurants aged 45–64, 65 and older, area deprivation and proportion of persons commuting to work outside their residential municipality. The GWR model revealed important regional variations in the strength of the examined associations. Area deprivation has only a significant and therefore direct influence in large parts of Mecklenburg-West Pomerania. However, the spatially varying strength of the association between demographic variables and hypertension indicates that there also exists an indirect effect of area deprivation on the prevalence of hypertension. It can therefore be expected that persons ageing in deprived areas will be at greater risk of hypertension, irrespective of their individual characteristics. The future planning and allocation of primary healthcare in northeastern Germany would therefore greatly benefit from considering the effect of area deprivation.
机译:高血压是德国最常被诊断出的慢性病之一。有针对性的预防策略和在最需要他们的地方分配普通医生对于防止高血压引起的严重并发症是必要的。但是,德国的慢性病数据大多可通过调查数据获得,这不仅低估了实际患病率,而且仅在粗略的空间尺度上可获得。尽管以前的研究表明,无论个人特征如何,都将区域剥夺与不良健康后果相关联,但在德国,将区域剥夺纳入医疗计划的讨论仍相对较年轻。因此,本研究的目的是在非常好的地理范围内分析高血压的空间分布,并根据AOK Nordost的健康保险声明评估高血压,社会人口统计学特征和区域剥夺之间的特定位置关联。为了在非常精细的地理范围上可视化高血压患病率的空间分布,我们使用了条件自回归Besag-York-Mollié(BYM)模型。地理加权回归模型(GWR)用于分析高血压与区域剥夺和进一步的社会人口统计学特征的特定位置关联。在2012年,按性别和年龄调整的高血压患病率为33.1%,在德国东北部地区差异很大。高血压的主要危险因素是45-64岁,65岁及65岁以上的被保险人比例,地区匮乏以及在居住城市以外工作的通勤人员所占比例。 GWR模型揭示了所检查协会的实力存在重要的区域差异。区域剥夺在梅克伦堡-西波莫尼亚的大部分地区仅具有重要的直接影响。然而,人口统计学变量与高血压之间联系的空间变化强度表明,区域剥夺对高血压的患病率也有间接影响。因此,可以预见,在贫困地区衰老的人,不论其个人特征如何,都有更大的患高血压的危险。因此,考虑到地区匮乏的影响,德国东北部的初级医疗保健的未来规划和分配将大为受益。

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