Evidence map›Paper›PMID 34418993›Full record

ArticleBMC public health2021

Preceding child survival status and its effect on infant and child mortality in India: An evidence from National Family Health Survey 2015-16.

Shobhit Srivastava, Shubhranshu Kumar Upadhyay, Shekhar Chauhan, Manoj Alagarajan

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  14. Infant Death Clustering in the Quarter of a Century in India: A Decomposition Analysis.International journal of environmental research and public health · 2022
    Article
  15. Review
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

4 authors at 2 institutions in 1 country.

Shobhit SrivastavaDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, India.
Shubhranshu Kumar UpadhyaySenior Resource Person, Knowledge Resource management, IED/ UNICEF, Lucknow, India.
Shekhar ChauhanDepartment of Population Policies and Programmes, International Institute for Population Sciences, Mumbai, India. Shekhariips2486@gmail.com.ORCID 0000-0002-6926-7649
Manoj AlagarajanDepartment of Development Studies, International Institute for Population Sciences, Mumbai, India.
International Institute for Population Sciences · INUnited Nations Children's Fund India · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndia has achieved impressive gains in child survival over the last two decades; however, it was not successful in attaining MDG 2015 goals. The study's objective is to inquire how the survival status of the preceding child affects the survival of the next born child.

methodsThis is a retrospective analysis of data from the National Family Health Survey, 2015-16. Analysis was restricted to women with second or higher-order births because women with first-order births do not have a preceding child. Proportional hazards regression, also called the Cox regression model, has been used to carry out the analysis. Kaplan-Meier (K-M) survival curves were also generated, with a focus on preceding birth intervals.

resultsResults found that female children were more likely to experience infant mortality than their male counterparts. Children born after birth intervals of 36+ months were least likely to experience infant mortality. Mother's education and household wealth are two strong predictors of child survival, while the place of residence and caste did not show any effect in the Cox proportional model. Infant and child deaths are highly clustered among those mothers whose earlier child is dead.

conclusionMaternal childbearing age is still low in India, and it poses a high risk of infant and child death. Education is a way out, and there is a need to focus on girl's education. The government shall also focus on raising awareness of the importance of spacing between two successive births. There is also a need to create a better health infrastructure catering to the needs of rich and poor people alike.

Indexed as

Birth IntervalsChild MortalityChildFemaleHealth SurveysHumansIndiaInfantInfant MortalityMaleRetrospective StudiesSocioeconomic FactorsMaternal and child healthMortality

Identifiers

PMID34418993
PMCPMC8379805
OpenAlexW3195050589

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.