4.5 Article

Higher prevalence of heart failure in rural regions: a population-based study covering 87% of German inhabitants

Journal

CLINICAL RESEARCH IN CARDIOLOGY
Volume 108, Issue 10, Pages 1102-1106

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00392-019-01444-8

Keywords

Adults; Claims data; Germany; Heart failure; Prevalence

Funding

  1. German Federal Ministry of Education and Research [01EO1004, 01EO1504]

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Background So far the extent of regional variation of heart failure (HF) prevalence in Germany is unknown. Methods Using a full sample of nationwide claims data covering ambulatory care of approximately 87% of the German population, this study aimed to (i) examine regional differences of HF prevalence on the level of 402 German administrative districts and (ii) investigate factors associated with HF prevalence. This study included all statutory health-insured patients aged >= 40 years in 2017, comprising about 40 million individuals. Age- and sex-standardized HF prevalence was estimated on the district level. Two-level logistic regression analysis was employed to study the influence of the district-related factors degree of urbanisation and regional socio-economic status on HF diagnosis, adjusted for the individual's age and sex. Results HF prevalence in 2017 was 6.0%. Standardized prevalence on the district level varied by a factor of 4.3 (range 2.8-11.9%). Regional socio-economic status and degree of urbanisation were independently associated with HF prevalence. The prevalence increased with decreasing degree of urbanisation. The adjusted risk of suffering from HF was 40% higher in 'rural areas with a low population density' as compared to 'big urban municipalities' (odds ratio 1.40, 99% CI 1.24-1.59). Conclusion Strong regional variations in HF prevalence may inform future public health policies regarding targeted resource planning and prevention strategies. High prevalence in areas with low population density adds to the challenge of ensuring universal access to health services in rural German regions.

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