Evidence map›Paper›PMID 27884186›Full record

ArticleBMC health services research2016

General practitioners in German metropolitan areas - distribution patterns and their relationship with area level measures of the socioeconomic status.

Jan Bauer, Doerthe Brueggmann, Daniela Ohlendorf, David A Groneberg

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Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
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5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jan BauerInstitute of Occupational, Social and Environmental Medicine, Goethe University, Theodor-Stern-Kai 7, 60329, Frankfurt/Main, Germany. j.bauer@med.uni-frankfurt.de.ORCID 0000-0001-6267-9731
Doerthe BrueggmannInstitute of Occupational, Social and Environmental Medicine, Goethe University, Theodor-Stern-Kai 7, 60329, Frankfurt/Main, Germany.
Daniela OhlendorfInstitute of Occupational, Social and Environmental Medicine, Goethe University, Theodor-Stern-Kai 7, 60329, Frankfurt/Main, Germany.
David A GronebergInstitute of Occupational, Social and Environmental Medicine, Goethe University, Theodor-Stern-Kai 7, 60329, Frankfurt/Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGeographical variation of the general practitioner (GP) workforce is known between rural and urban areas. However, data about the variation between and within urban areas are lacking.

methodWe analyzed distribution patterns of GP full time equivalents (FTE) in German cities with a population size of more than 500,000. We correlated their distribution with area measures of social deprivation in order to analyze preferences within neighborhood characteristics. For this purpose, we developed two area measures of deprivation: Geodemographic Index (GDI) and Cultureeconomic Index (CEI).

resultsIn total n = 9034.75 FTE were included in n = 14 cities with n = 171 districts. FTE were distributed equally on inter-city level (mean: 6.49; range: 5.12-7.20; SD: 0.51). However, on intra-city level, GP distribution was skewed (mean: 6.54; range: 1.80-43.98; SD: 3.62). Distribution patterns of FTE per 10^4 residents were significantly correlated with GDI (r = -0.49; p < 0.001) and CEI (r = -0.22; p = 0.005). Therefore, location choices of GPs were mainly positively correlated with 1) central location (r = -0.50; p < 0.001), 2) small household size of population (r = -0.50; p < 0.001) and 3) population density (r = 0.35; p < 0.001).

conclusionIntra-city distribution of GPs was skewed, which could affect the equality of access for the urban population. Furthermore, health services planners should be aware of GP location preferences. This could be helpful to better understand and plan delivery of health services. Within this process the presented Geodemographic Index (GDI) could be of use.

Indexed as

General PractitionersGermanyHealth Services AccessibilityHumansPopulation DensitySocial ClassUrban Health ServicesAccessDistributionPrimary careSocioeconomic statusUrban

Identifiers

PMID27884186
PMCPMC5123403

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.