Evidence map›Paper›PMID 39177927›Full record

ArticleResearch in health services & regions2024

Choosing a maternity hospital: a matter of travel distance or quality of care?

Daniela Koller, Werner Maier, Nicholas Lack, Eva Grill, Ralf Strobl

Abstract read
In one paragraph

Article in Research in health services & regions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Daniela KollerInstitute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, Marchioninistr. 15, 81377, Munich, Germany. Daniela.koller@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-3203-7188
Werner MaierInstitute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, Marchioninistr. 15, 81377, Munich, Germany.ORCID http://orcid.org/0000-0003-4356-7296
Nicholas LackBavarian Institute for Quality Assurance, Munich, Germany.
Eva GrillInstitute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, Marchioninistr. 15, 81377, Munich, Germany.ORCID http://orcid.org/0000-0002-0273-7984
Ralf StroblInstitute of Medical Data Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, Marchioninistr. 15, 81377, Munich, Germany.ORCID http://orcid.org/0000-0002-7719-948X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe choice of a hospital should be based on individual need and accessibility. For maternity hospitals, this includes known or expected risk factors, the geographic accessibility and level of care provided by the hospital. This study aims to identify factors influencing hospital choice with the aim to analyze if and how many deliveries are conducted in a risk-appropriate and accessible setting in Bavaria, Germany.

methodsThis is a cross-sectional secondary data analysis based on all first births in Bavaria (2015-18) provided by the Bavarian Quality Assurance Institute for Medical Care. Information on the mother and on the hospital were included. The Bavarian Index of Multiple Deprivation 2010 was used to account for area-level socioeconomic differences. Multiple logistic regression models were used to estimate the strength of association of the predicting factors and to adjust for confounding.

resultsWe included 195,087 births. Distances to perinatal centers were longer than to other hospitals (16 km vs. 12 km). 10% of women with documented risk pregnancies did not deliver in a perinatal center. Regressions showed that higher age (OR 1.03; 1.02-1.03 95%-CI) and risk pregnancy (OR 1.44; 1.41-1.47 95%-CI) were associated with choosing a perinatal center. The distances travelled show high regional variation with a strong urban-rural divide.

conclusionIn a health system with free choice of hospitals, many women chose a hospital close to home and/or according to their risks. However, this is not the case for 10% of mothers, a group that would benefit from more coordinated care.

Indexed as

AccessBirthDeprivationGISHealth policyHospital choiceQualitySecondary data

Identifiers

PMID39177927
PMCPMC11281767

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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.