Evidence map›Paper›PMID 33154470›Full record

ArticleScientific reports2020

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

Jan Bauer, Doris Klingelhöfer, Werner Maier, Lars Schwettmann, David A Groneberg

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Mapping Access to Children's Hospitals in Texas.International journal of environmental research and public health · 2024
    Article
  8. Article
  9. Article
  10. [Access to cardiological care infrastructure in the federal state of Brandenburg considering the local care needs].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2023
    Article
  11. Article
  12. Article
  13. Article
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  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jan BauerDivision of Health Services Research, Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt, Theodor Stern Kai 7, 60590, Frankfurt/Main, Germany. j.bauer@med.uni-frankfurt.de.
Doris KlingelhöferDivision of Health Services Research, Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt, Theodor Stern Kai 7, 60590, Frankfurt/Main, Germany.
Werner MaierInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Lars SchwettmannInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
David A GronebergDivision of Health Services Research, Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe University Frankfurt, Theodor Stern Kai 7, 60590, Frankfurt/Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Architectural AccessibilityGeneral SurgeryHealth Services AccessibilityHospitalsInternal MedicineNeurologyGermanyHumansInpatientsSpatial Analysis

Identifiers

PMID33154470
PMCPMC7645718

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Registered trials

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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.