Evidence map›Paper›PMID 39838926›Full record

ArticleJMIR public health and surveillance2025

Assessing the Impact of Distance Traveled and Birth Volumes of Hospital Maternity Units on Newborn Outcomes: Population-Based Cohort Study.

Anna Cantarutti, Riccardo Boracchini, Roberto Bellù, Raffaella Ronco, Federico Rea, Anna Locatelli, Rinaldo Zanini, Giovanni Corrao

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2025. 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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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

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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

8 authors.

Anna Cantarutti *National Centre for Healthcare Research & Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.ORCID 0000-0002-3700-780X
Riccardo Boracchini *National Centre for Healthcare Research & Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.ORCID 0009-0002-8339-9485
Roberto BellùNeonatal Intensive Care Unit, Woman and Child Health Department, Azienda Ospedaliera della Provincia di Lecco, Lecco, Italy.ORCID 0000-0002-8108-9873
Raffaella RoncoNational Centre for Healthcare Research & Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.ORCID 0000-0002-4883-4712
Federico ReaNational Centre for Healthcare Research & Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.ORCID 0000-0001-7988-5101
Anna LocatelliDepartment of Obstetrics, IRCCS San Gerardo dei Tintori Foundation, University of Milano-Bicocca, Monza, Italy.ORCID 0000-0002-3919-4776
Rinaldo ZaniniGeneral Management, IRCCS Istituto Giannina Gaslini, Genova, Italy.ORCID 0000-0003-4202-7423
Giovanni CorraoNational Centre for Healthcare Research & Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The centralization of childbirth and newborn care in large maternity units has become increasingly prevalent in Europe. While this trend offers potential benefits such as specialized care and improved outcomes, it can also lead to longer travel and waiting times, especially for women in rural areas. Objective: This study aimed to evaluate the association between hospital maternity unit (HMU) volumes, road travel distance (RTD) to the hospital, and other neonatal outcomes. Methods: We conducted a population-based cohort study including all live births in hospitals without intensive care units between 2016 and 2019 in the Lombardy region, Italy. Given the hierarchical structure of our data (births nested within hospitals), we employed log-binomial regression models with random intercepts to estimate relative risks and 95% CIs for evaluating the association between HMU volumes (≥1500 births/year) and RTD (<5 km) with the risk of being transferred and/or death after birth (primary outcome). Secondary outcomes included a low Apgar score at 5 minutes and low adherence to antenatal care (ANC). We controlled for several potential confounders including adherence to the ANC pathway for the primary and low Apgar outcomes. To explore the influence of HMU volumes on the primary outcome, we identified the fractional polynomial model that best described this relationship. Results: Of 65,083 live births, 71% (n=45,955) occurred in low-volume hospitals (<1000 births/year), 21% (n=13,560) involved long-distance travel (>15 km), 1% (n=735) were transferred and/or died after birth, 0.5% (n=305) had a low Apgar score at 5 minutes, and 64% (n=41,317) completely adhered to ANC. The risk of transfer and/or death increased as HMU volume decreased, ranging from 1% for hospitals with 1000-1500 births/year to a 3.6-fold high risk for hospitals with <500 births/year (compared to high-volume hospitals). Travel distance did not affect the primary outcome. Neither HMU volume nor RTD were associated with low Apgar scores. Conversely, the risk of complete adherence to ANC decreased with lower HMU volumes but increased with shorter RTD. Additionally, high-volume hospitals demonstrated a decreasing trend in the frequency of the primary outcome, with transfer and/or death rates ranging from 2% to 0.5% and flattening to 0.5% in hospitals, with activity volume ≥1000 mean births/year. Conclusions: Our findings showed an excess risk of neonatal transfer and/or death for live births in HMUs with low activity volumes without an intensive care unit. In contrast, RTD primarily affected adherence to ANC. Moreover, data suggest that 1000 births/year could be an optimal cutoff for maternity hospitals to ensure an appropriate standard of care at delivery.

Indexed as

Health Services AccessibilityHospitals, MaternityPregnancy OutcomeTravelAdultCohort StudiesFemaleHumansInfant, NewbornItalyPregnancyantenatalbirthchildbirthcohortdeliveryEuropeanhealth care systemhealth systemmaternalmaternal outcomesmaternity levelmortalityneonatalneonatal mortalityneonatal outcomenewbornperinatalperinatal carepopulation-basedregionalizationroad travel distance

Identifiers

PMID39838926
PMCPMC11773989

What Socratic holds

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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 Socratic graph.