Evidence map›Paper›PMID 39421936›Full record

ArticleJournal of global health2024

Trends in the quality of antenatal care in India: Patterns of change across 36 states and union territories, 1999-2021.

Hwa-Young Lee, Akhil Kumar, Anoop Jain, Rockli Kim, S V Subramanian

Abstract read
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Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Hwa-Young LeeGraduate School of Public Health and Healthcare Management, The Catholic University of Korea, Seoul, South Korea.
Akhil KumarFaculty of Arts and Sciences, University of Toronto, Toronto, Ontario, Canada.
Anoop JainDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Rockli KimDivision of Health Policy and Management, College of Health Science, Korea University, Seoul, South Korea.
S V SubramanianHarvard Center for Population and Development Studies, Cambridge, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antenatal care (ANC) quality is important to maternal and neonatal mortality. However, trends in the quality of ANC received by pregnant women in India have been understudied. This paper seeks to fill this gap by examining the long-term patterns nationwide and the state-specific prevalence of inadequate ANC quality received by pregnant women in India. Methods: We utilised data from four National Family Health Surveys (NFHS) conducted in 1999 (NFHS-2), 2006 (NFHS-3), 2016 (NFHS-4), and 2021 (NFHS-5) across India's 36 states/union territories (UTs). The sample includes mothers who had given birth within three years (NFHS-2) and five years (NFHS-3, NHFS-4, and NFHS-5) before each survey. We define inadequate ANC quality as not completing seven essential ANC services (weight measurement, blood pressure measurement, urine sampling, blood sampling, provision of iron supplements, provision of tetanus vaccination, and ultrasound scans) during pregnancy. We calculated the standardised absolute change to quantify the change in the share of women receiving inadequate quality ANC nationally and by each state/UT. Additionally, we estimated the population headcount of mothers who received inadequate-quality ANC in 2021 and identified the socioeconomic correlates associated with inadequate ANC quality. Results: The prevalence of inadequate ANC quality substantially declined between 1999-2021, from 84.8% (95% confidence interval (CI) = 84.1-85.5) to 28.8% (95% CI = 28.5-29.2). However, between-state inequality in ANC quality has increased over this time. We identified a weak correlation between prevalence and population headcounts in 2021. Socioeconomically disadvantaged groups exhibited a higher prevalence of inadequate quality of ANC than less disadvantaged groups. Conclusions: The proportion of pregnant women receiving inadequate ANC quality has decreased over time throughout India. However, multi-faceted efforts at national and state levels are necessary to enhance the effectiveness of existing policies. Additionally, innovative and targeted approaches are required to ensure the timely and equitable provision of high-quality ANC.

Indexed as

Prenatal CareQuality of Health CareAdolescentAdultFemaleHumansIndiaPregnancyYoung Adult

Identifiers

PMID39421936
PMCPMC11487464

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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.