Evidence map›Paper›PMID 35524273›Full record

ArticleInternational journal for equity in health2022

Socioeconomic inequalities in stillbirth and neonatal mortality rates: evidence on Particularly Vulnerable Tribal Groups in eastern India.

Sophie L P Busch, Tanja A J Houweling, Hemanta Pradhan, Rajkumar Gope, Shibanand Rath, Amit Kumar, Vikash Nath, Audrey Prost, Nirmala Nair

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

9 authors at 3 institutions in 3 countries.

Sophie L P BuschDepartment of Public Health, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands. 425066sb@eur.nl.ORCID 0000-0001-7592-1021
Tanja A J HouwelingDepartment of Public Health, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-6090-4376
Hemanta PradhanEkjut, Chakradharpur, Jharkhand, India.
Rajkumar GopeEkjut, Chakradharpur, Jharkhand, India.
Shibanand RathEkjut, Chakradharpur, Jharkhand, India.
Amit KumarEkjut, Chakradharpur, Jharkhand, India.
Vikash NathEkjut, Chakradharpur, Jharkhand, India.
Audrey ProstInstitute for Global Health, University College London, London, UK.
Nirmala NairEkjut, Chakradharpur, Jharkhand, India.
Ekjut · INErasmus MC · NLUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTribal peoples are among the most marginalised groups worldwide. Evidence on birth outcomes in these groups is scant. We describe inequalities in Stillbirth Rate (SBR), Neonatal Mortality Rate (NMR), and uptake of maternal and newborn health services between tribal and less disadvantaged groups in eastern India, and examine the contribution of poverty and education to these inequalities.

methodsWe used data from a demographic surveillance system covering a 1 million population in Jharkhand State (March 2017 - August 2019) to describe SBR, NMR, and service uptake. We used logistic regression analysis combined with Stata's adjrr-command to estimate absolute and relative inequalities by caste/tribe (comparing Particularly Vulnerable Tribal Groups (PVTG) and other Scheduled Tribes (ST) with the less marginalised Other Backward Class (OBC)/none, using the Indian government classification), and by maternal education and household wealth.

resultsPVTGs had a higher NMR (59/1000) than OBC/none (31/1000) (rate ratio (RR): 1.92, 95%CI: 1.55-2.38). This was partly explained by wealth and education, but inequalities remained large after adjustment (adjusted RR: 1.59, 95%CI: 1.28-1.98). NMR was also higher among other STs (44/1000), but disparities were smaller (RR: 1.47, 95%CI: 1.23-1.75). There was a systematic gradient in NMR by maternal education and household wealth. SBRs were only higher in poorer groups (RR

conclusionsPVTGs are highly disadvantaged in terms of birth outcomes. Targeted interventions that reduce geographical barriers to facility-based care and address root causes of high poverty and low education in PVTGs are a priority. For population-level impact, they are to be combined with broader policies to reduce socio-economic mortality inequalities. Community-based interventions reach disadvantaged groups and have potential to reduce the mortality gap.

Indexed as

Infant MortalityStillbirthFemaleHumansIndiaInfant HealthInfant, NewbornPregnancySocial ClassSocioeconomic FactorsIndiaIndigenous healthInequalitiesMaternity careNeonatal mortalityStillbirth

Identifiers

PMID35524273
PMCPMC9074184
OpenAlexW4229084008

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LicenceCC BY
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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 OpenQuestion graph.