Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany

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Reiter, Denis; Jehling, Mathias; Hecht, Robert, 2025, "Replication Package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany", https://doi.org/10.71830/7N8G1E, ioerDATA, V2
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Description
EN: This dataset includes a 100 m raster of changes in access to primary care physicians in Germany. It complements the article "Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany". For calculating the change in access, data on physicians and population for the years 2011 and 2022 on the level of individual buildings has been combined using the Enhanced Two Step Floating Catchment Area (E2SFCA) method and aggregated into the provided 100 m raster. A maximum travel time of 20 min by car was assumed. Physician data consisted of full-time-equivalent (FTE) values for precise physician locations, provided by the "Kassenärztliche Bundesvereinigung". Population for 2011 was taken from the official census and dasymetrically mapped to building footprints, while the data for 2022 has been estimated on building level using an AI-based approach. The calculation of the catchment areas was conducted with "OpenRouteService". The aggregation raster is the official INSPIRE 100 m. The results for the access calculation are presented in a unit we call "Minutes", which can be understood as the theoretical maximum amount of time any person can spend at primary care physicians in a year. The higher the value, the better the access to service provision. (2025-04-03)
DE: Dieser Datensatz enthält ein 100-Meter-Raster der Veränderungen beim Zugang zu Hausärzten in Deutschland. Er ergänzt den Artikel „Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany“. Für die Berechnung der Veränderung des Zugangs wurden Daten zu Ärzten und Bevölkerung für die Jahre 2011 und 2022 auf der Ebene einzelner Gebäude mit der Enhanced Two Step Floating Catchment Area (E2SFCA)-Methode kombiniert und zu dem bereitgestellten 100 m-Raster aggregiert. Es wurde eine maximale Reisezeit von 20 Minuten mit dem Auto angenommen. Bei den Ärztedaten handelte es sich um Vollzeitäquivalente (VZÄ) für genaue Arztstandorte, die von der Kassenärztlichen Bundesvereinigung bereitgestellt wurden. Die Bevölkerung für 2011 wurde dem Zensus entnommen und dasymetrisch auf Gebäudegrundrisse abgebildet, während die Daten für 2022 auf Gebäudeebene mit einem KI-basierten Ansatz geschätzt wurden. Die Berechnung der Einzugsgebiete wurde mit dem „OpenRouteService“ durchgeführt. Das Aggregationsraster ist das offizielle INSPIRE 100 m. Die Ergebnisse der Erreichbarkeitsberechnung werden in einer Einheit dargestellt, die wir „Minuten“ nennen und die als die theoretische maximale Zeitspanne verstanden werden kann, die eine Person im Jahr bei einem Hausarzt verbringen kann. Je höher der Wert, desto besser ist der Zugang zu Dienstleistungen. (2025-04-03)
Subject Computer and Information Science; Medicine, Health and Life Sciences; Social Sciences
Keyword accessibility, medical service provision, population dynamics, infrastructure
Related Publication Is Supplement To: Reiter D, Hecht R, Jehling M. Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany. RuR [Internet]. 2024 Aug. 30;82(4):322-37.doi: https://doi.org/10.14512/rur.2278
Notes This dataset is a replication package. Data processing pipeline can be found within the python scripts. Scientific results are published in the related open access peer-reviewed article.
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