Spatial accessibility of general inpatient care in Germany: an analysis of surgery, internal medicine and neurology

  • Improving spatial accessibility to hospitals is a major task for health care systems which can be facilitated using recent methodological improvements of spatial accessibility measures. We used the integrated floating catchment area (iFCA) method to analyze spatial accessibility of general inpatient care (internal medicine, surgery and neurology) on national level in Germany determining an accessibility index (AI) by integrating distances, hospital beds and morbidity data. The analysis of 358 million distances between hospitals and population locations revealed clusters of lower accessibility indices in areas in north east Germany. There was a correlation of urbanity and accessibility up to r = 0.31 (p < 0.001). Furthermore, 10% of the population lived in areas with significant clusters of low spatial accessibility for internal medicine and surgery (neurology: 20%). The analysis revealed the highest accessibility for heart failure (AI = 7.33) and the lowest accessibility for stroke (AI = 0.69). The method applied proofed to reveal important aspects of spatial accessibility i.e. geographic variations that need to be addressed. However, for the majority of the German population, accessibility of general inpatient care was either high or at least not significantly low, which suggests rather adequate allocation of hospital resources for most parts of Germany.

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Author:Jan BauerORCiDGND, Doris KlingelhöferORCiD, Werner Albert MaierORCiDGND, Lars SchwettmannORCiDGND, Jan David Alexander GronebergORCiDGND
URN:urn:nbn:de:hebis:30:3-637293
DOI:https://doi.org/10.1038/s41598-020-76212-0
ISSN:2045-2322
Parent Title (English):Scientific reports
Publisher:Macmillan Publishers Limited, part of Springer Nature
Place of publication:[London]
Document Type:Article
Language:English
Date of Publication (online):2020/11/05
Date of first Publication:2020/11/05
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2022/10/22
Tag:Computer science; Health policy; Health services; Public health
Volume:10
Article Number:19157
Page Number:10
First Page:1
Last Page:10
Note:
Open Access funding enabled and organized by Projekt DEAL. The study was funded by the German Research council (Project Number: 414968451).
Institutes:Medizin / Medizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0