Evidence map›Paper›PMID 37028810›Full record

ArticleBMJ global health2023

Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania.

Peter M Macharia, Lenka Beňová, Jessie Pinchoff, Aline Semaan, Andrea B Pembe, Aliki Christou, Claudia Hanson

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In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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3 · Its place in the literature

Who cites it

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

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Peter M MachariaPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya pmacharia@kemri-wellcome.org.ORCID 0000-0003-3410-1881
Lenka BeňováDepartment of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.ORCID 0000-0001-8595-365X
Jessie PinchoffSocial and Behavioral Sciences Research, Population Council, New York City, New York, USA.ORCID 0000-0003-3155-595X
Aline SemaanDepartment of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.
Andrea B PembeDepartment of Obstetrics and Gynaecology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Aliki ChristouDepartment of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.ORCID 0000-0001-9525-8255
Claudia HansonDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8066-7873

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionRecent studies suggest that the urban advantage of lower neonatal mortality in urban compared with rural areas may be reversing, but methodological challenges include misclassification of neonatal deaths and stillbirths, and oversimplification of the variation in urban environments. We address these challenges and assess the association between urban residence and neonatal/perinatal mortality in Tanzania.

methodsThe Tanzania Demographic and Health Survey (DHS) 2015-2016 was used to assess birth outcomes for 8915 pregnancies among 6156 women of reproductive age, by urban or rural categorisation in the DHS and based on satellite imagery. The coordinates of 527 DHS clusters were spatially overlaid with the 2015 Global Human Settlement Layer, showing the degree of urbanisation based on built environment and population density. A three-category urbanicity measure (core urban, semi-urban and rural) was defined and compared with the binary DHS measure. Travel time to the nearest hospital was modelled using least-cost path algorithm for each cluster. Bivariate and multilevel multivariable logistic regression models were constructed to explore associations between urbanicity and neonatal/perinatal deaths.

resultsBoth neonatal and perinatal mortality rates were highest in core urban and lowest in rural clusters. Bivariate models showed higher odds of neonatal death (OR=1.85; 95% CI 1.12 to 3.08) and perinatal death (OR=1.60; 95% CI 1.12 to 2.30) in core urban compared with rural clusters. In multivariable models, these associations had the same direction and size, but were no longer statistically significant. Travel time to the nearest hospital was not associated with neonatal or perinatal mortality.

conclusionAddressing high rates of neonatal and perinatal mortality in densely populated urban areas is critical for Tanzania to meet national and global reduction targets. Urban populations are diverse, and certain neighbourhoods or subgroups may be disproportionately affected by poor birth outcomes. Research must capture, understand and minimise risks specific to urban settings.

Indexed as

Perinatal DeathPerinatal MortalityFemaleHumansInfant MortalityInfant, NewbornPregnancySatellite ImageryTanzaniachild healthcross-sectional surveymaternal health

Identifiers

PMID37028810
PMCPMC10083757

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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.