Evidence map›Paper›PMID 39639301›Full record

ArticleBMC public health2024

Geographic disparities and determinants of full utilization of the continuum of maternal and newborn healthcare services in rural India.

Pooja Tripathi, Mahashweta Chakrabarty, Aditya Singh, Subhojit Let

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Perception Regarding Family Adoption Program among the Undergraduate Students of a Medical College in Coastal South India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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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

4 authors.

Pooja TripathiDepartment of Geography, Banaras Hindu University, Varanasi, Uttar Pradesh, India.ORCID http://orcid.org/0000-0003-4449-1940
Mahashweta ChakrabartyDepartment of Geography, Banaras Hindu University, Varanasi, Uttar Pradesh, India. mahashweta.c1997@gmail.com.ORCID http://orcid.org/0000-0001-5151-9572
Aditya SinghDepartment of Geography, Banaras Hindu University, Varanasi, Uttar Pradesh, India. adityasingh@bhu.ac.in.ORCID http://orcid.org/0000-0003-3031-5225
Subhojit LetDepartment of Geography, Banaras Hindu University, Varanasi, Uttar Pradesh, India.ORCID http://orcid.org/0000-0002-5692-6027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo further reduce maternal and neonatal mortality, it is essential for mothers and newborns to fully utilize all essential services within the continuum of maternal and newborn care. However, research on maternal and child health services in India has not sufficiently examined geographical disparities in the full utilization of these services and the factors influencing the full utilization, particularly in rural areas. This study aims to address this critical gap.

methodsUtilizing data from 130,312 mothers collected in the National Family Health Survey-5 (2019-21), this study employed spatial analysis to uncover geographical disparities in the full utilization of the continuum of maternal and newborn healthcare services in rural India. Additionally, binary logistic regression was used to identify the factors associated with this utilization.

resultsIn rural India, 54.3% mothers recieved  four or more antenatal care visits, 88.6% received skilled birth attendance, and 75.5% of mothers and 79.8% of newborns received postnatal care within 48 hours of birth. However, only 43.5% mothers-newborn dyads in rural India utilized all four services of the continuum of maternal and newborn healthcare. There were significant geographical disparities in the full utilization of the continuum of maternal and newborn healthcare services. Hotspots were primarily identified in districts of southern states, western Maharashtra, and central Odisha, while cold spots were evident in the northeastern states of Arunachal Pradesh, Meghalaya, Assam, and Nagaland, as well as in the Empowered Action Group states of Bihar, Uttar Pradesh, and Jharkhand. Key determinants influencing the full utilization of the continuum of care in rural India included  maternal education, household wealth, parity, health insurance coverage, and exposure to mass media. Specifically, the odds of fully utilizing the continuum of care were significantly lower among women without formal education (adjusted odds ratio = 0.60, 95% CI = 0.56-0.65), those from the poorest wealth quintile (0.65, 0.61-0.69), and mothers with six or more children (0.42, 0.37-0.47), compared to mothers with higher education, those in the richest wealth quintile, and mothers with a single child, respectively. Additionally, mothers from the southern region were more than twice as likely (2.11, 1.99-2.20) to fully utilize the continuum of healthcare services compared to mothers from the northern region.

conclusionThe significant geographical disparities in the full utilization of maternal and newborn healthcare services in rural India highlight the necessity for tailored, region-specific interventions. Future programs should focus on addressing the barriers to care by prioritizing vulnerable groups, including those who are poor, uninsured, less educated, adolescents, and women with high parity.

Indexed as

Healthcare DisparitiesRural PopulationAdolescentAdultContinuity of Patient CareFemaleHumansIndiaInfant, NewbornMaternal-Child Health ServicesMaternal Health ServicesPatient Acceptance of Health CarePregnancyRural Health ServicesSocioeconomic FactorsSpatial AnalysisAntenatal careContinuum of careHealthcare utilizationMaternal healthPostnatal careSkilled birth attendance

Identifiers

PMID39639301
PMCPMC11619281

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.