Evidence map›Paper›PMID 30866847›Full record

ArticleBMC pregnancy and childbirth2019

Factors associated with perinatal mortality in Nepal: evidence from Nepal demographic and health survey 2001-2016.

Pramesh Raj Ghimire, Kingsley E Agho, Andre M N Renzaho, Monjura K Nisha, Michael Dibley, Camille Raynes-Greenow

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
10.2field-weighted citation impact, top 2% of its field
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

23 citing papers in PubMed, 50 citations in OpenAlex.

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  17. Ambient temperature and stillbirth risks in northern Sweden, 1880-1950.Environmental epidemiology (Philadelphia, Pa.) · 2021
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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

6 authors at 2 institutions in 1 country.

Pramesh Raj GhimireSchool of Science and Health, Western Sydney University, Locked Bag1797, Penrith, NSW, 2571, Australia. prameshraj@hotmail.com.ORCID http://orcid.org/0000-0003-2816-0463
Kingsley E AghoSchool of Science and Health, Western Sydney University, Locked Bag1797, Penrith, NSW, 2571, Australia.
Andre M N RenzahoSchool of Social Sciences and Psychology, Western Sydney University, Locked Bag1797, Penrith, NSW, 2571, Australia.
Monjura K NishaSydney School of Public Health, University of Sydney, Edward Ford Building (A27), Sydney, NSW, 2006, Australia.
Michael DibleySydney School of Public Health, University of Sydney, Edward Ford Building (A27), Sydney, NSW, 2006, Australia.
Camille Raynes-GreenowSydney School of Public Health, University of Sydney, Edward Ford Building (A27), Sydney, NSW, 2006, Australia.
The University of Sydney · AUWestern Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerinatal mortality is a devastating pregnancy outcome affecting millions of families in many low and middle-income countries including Nepal. This paper examined the more distant factors associated with perinatal mortality in Nepal.

methodsA sample of 23,335 pregnancies > 28 weeks' gestation from the Nepal Demographic and Health Survey datasets for the period (2001-2016) was analysed. Perinatal Mortality (PM) is defined as the sum of stillbirth (fetal deaths in pregnancies > 28 weeks' gestation) and early neonatal mortality (deaths within the first week of life), while Extended Perinatal Mortality (EPM) is denoted as the sum of stillbirth and neonatal mortality (deaths within the first 28 days of life). Rates of PM and EPM were calculated. Logistic regression generalized linear latent and mixed models (GLLAMM) that adjusted for clustering and sampling weight was used to examine the factor associated with perinatal mortality.

resultsOver the study period, the PMR was 42 [95% Confidence Interval (CI): 39, 44] per 1000 births for the five-year before each survey; while corresponding EPMR was 49 (95% CI, 46, 51) per 1000 births. Multivariable analyses revealed that women residing in the mountains, who did not use contraceptives, women aged 15-18 years or 19-24 years, and women having no education were associated with increased PM and EPM. The study also identified households using biomass as cooking fuel, and households who reported unimproved sanitation or open defecation were significantly more likely to experience PM and EPM.

conclusionsInterventions aimed to improve use of contraceptives, and reduce biomass as a source of cooking fuel are needed to achieve the recommended target of < 12 perinatal deaths per 1000 births by 2030.

Indexed as

Perinatal MortalityAdolescentAdultBiomassContraceptive Agents, FemaleCookingDeveloping CountriesEducational StatusFemaleHealth SurveysHumansInfant, NewbornMaternal AgeMiddle AgedNepalResidence CharacteristicsContraceptive Agents, FemaleExtended perinatal mortalityNDHSNepalPerinatal mortality

Identifiers

PMID30866847
PMCPMC6417106
OpenAlexW2943847070

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.