Evidence map›Paper›PMID 39291107›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Trend, Pattern, and Prevalence of Adverse Pregnancy Outcomes among Women of Reproductive Age in India, 1992-2021.

Prafulla K Swain, Anmol Jena

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Prafulla K SwainDepartment of Statistics, Utkal University, Vani Vihar, Odisha, India.
Anmol JenaDepartment of Statistics, Utkal University, Vani Vihar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adverse pregnancy outcomes (APOs) are the most important vital statistics used to assess maternal health and child health statistics. They are an indicator of the quality of maternal and child health care services, i.e., antenatal care, intrapartum care, and medical services. Material and Methods: The objective of the study is to analyze the trend, pattern, and prevalence of APOs among women of reproductive age group at the national level over successive NFHS rounds. The current study uses data from the National Family Health Survey (NFHS), conducted during 1992-2021. The study uses geo-spatial mapping techniques through QGIS software and report analysis to arrive at definitive conclusions. Results: The study finds that the incidence of APOs among women of reproductive age (15-49 years) has increased over the years. Twenty states and union territories have APOs that are below the national average. On the other hand, States like Madhya Pradesh, Meghalaya, Sikkim, Goa, Maharashtra, Andhra Pradesh, Karnataka, and Kerala have witnessed their APOs worsening as per NFHS-5 vis-à-vis NFHS-4. The study also finds that apart from the Himalayan belt and the east coast of India, APOs are more prominent in the contiguous regions adjoining these areas. Conclusions: The findings of the study have thrown on very interesting facts. Despite rapid economic development during the intervening period between NFHS-4 and NFHS-5, rising APOs are a testament to the fact that the policymakers in the country need to be more target-oriented and get their acts together.

Indexed as

Abortionadverse pregnancy outcomesIndiamiscarriageNFHSstillbirth

Identifiers

PMID39291107
PMCPMC11404405

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.