Evidence map›Paper›PMID 26330115›Full record

ArticleBMC pregnancy and childbirth2015

Differences in perinatal morbidity and mortality on the neighbourhood level in Dutch municipalities: a population based cohort study.

Amber A Vos, Semiha Denktaş, Gerard J J M Borsboom, Gouke J Bonsel, Eric A P Steegers

Abstract readComparative Study
In one paragraph

Article in BMC pregnancy and childbirth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Spatial Approach of Perinatal Mortality in São Paulo State, 2003-2012.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2016
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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.

Amber A VosDepartment of Obstetrics and Gynecology, Division of Obstetrics & Prenatal Medicine, Erasmus MC, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. a.a.vos@erasmusmc.nl.
Semiha DenktaşDepartment of Obstetrics and Gynecology, Division of Obstetrics & Prenatal Medicine, Erasmus MC, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. denktas@euc.eur.nl.
Gerard J J M BorsboomDepartment of Public Health, Erasmus University Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands. g.borsboom@erasmusmc.nl.
Gouke J BonselDepartment of Obstetrics and Gynecology, Division of Obstetrics & Prenatal Medicine, Erasmus MC, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. g.bonsel@erasmusmc.nl.
Eric A P SteegersDepartment of Obstetrics and Gynecology, Division of Obstetrics & Prenatal Medicine, Erasmus MC, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. e.a.p.steegers@erasmusmc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a national perinatal health programme, we observed striking heterogeneity in the explanation of the most prominent risks across municipalities. Therefore we explored the separate contribution of several socio-demographic risks on perinatal health inequalities between municipalities and neighbourhoods. The study aims to identify perinatal health inequalities on the neighbourhood level across the selected municipalities, and to objectify the contribution of socio-demographic risk factors on pregnancy outcomes in each municipality by the application of the population attributable risk concept.

methodsPopulation based cohort study (2000-2008). Perinatal outcomes of 352,407 single pregnancies from 15 municipalities were analysed. Odds ratios and population attributable risks were calculated. Main outcomes were combined perinatal morbidity (small-for-gestational age, preterm birth, congenital anomalies, and low Apgar score), and perinatal mortality.

resultsPerinatal health inequalities existed on both the municipal and the neighbourhood level. In municipalities, combined perinatal morbidity ranged from 17.3 to 23.6%, and perinatal mortality ranges from 10.1 to 15.4‰. Considerable differences in low socio-economic status between municipalities were apparent, with prevalences ranging from 14.4 to 82.5%. In seven municipalities, significant differences between neighbourhoods existed for perinatal morbidity (adjusted OR ranging from 1.33 to 2.38) and for perinatal mortality (adjusted OR ranging from 2.06 to 5.59). For some municipalities, socio-demographic risk factors were s a strong predictor for the observed inequalities, but in other municipalities these factors were very weak predictors. If all socio-demographic determinants were set to the most favourable value in a predictive model, combined perinatal morbidity would decrease with 15 to 39% in these municipalities.

conclusionsSubstantial differences in perinatal morbidity and mortality between municipalities and neighbourhoods exist. Different patterns of inequality suggest differences in etiology. Policy makers and healthcare professionals need to be informed about their local perinatal health profiles in order to introduce antenatal healthcare tailored to the individual and neighbourhood environment.

Indexed as

Health Status DisparitiesInfant MortalityPerinatal MortalityAdultCitiesCohort StudiesFemaleGestational AgeHealth Care SurveysHumansIncidenceInfantInfant, NewbornMaternal Health ServicesNetherlandsPoverty Areas

Identifiers

PMID26330115
PMCPMC4557854

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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.