Evidence map›Paper›PMID 38827686›Full record

ArticleJournal of family medicine and primary care2024

Determinants of public institutional births in India: An analysis using the National Family Health Survey (NFHS-5) factsheet data.

Rohan Kar, Anurag Piyamrao Wasnik

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Strengthening Civil Registration Through Grassroots Health Institutions in India.International journal of environmental research and public health · 2026
    Article
  3. "Overview of Global Challenges in Dealing with Neonatal Sepsis and Responsibility of Healthcare Workers": A Narrative Review.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
    Review
  4. Article
  5. 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.

Rohan KarDoctoral Researcher, Marketing Area, Indian Institute of Management Ahmedabad. Gujarat, India.
Anurag Piyamrao WasnikDoctoral Researcher, Innovation and Strategy, Beedie School of Business, Simon Fraser University (SFU), Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Institutional births ensure deliveries happen under the supervision of skilled healthcare personnel in an enabling environment. For countries like India, with high neonatal and maternal mortalities, achieving 100% coverage of institutional births is a top policy priority. In this respect, public health institutions have a key role, given that they remain the preferred choice by most of the population, owing to the existing barriers to healthcare access. While research in this domain has focused on private health institutions, there are limited studies, especially in the Indian context, that look at the enablers of institutional births in public health facilities. In this study, we look to identify the significant predictors of institutional birth in public health facilities in India. Method: We rely on the National Family Health Survey (NFHS-5) factsheet data for analysis. Our dependent variable (DV) in this study is the % of institutional births in public health facilities. We first use Welch's Results: We find no significant difference between urban and rural areas ( Conclusion: Providing households with health insurance coverage may not improve the utilisation of public health facilities for deliveries in India, where other barriers to public healthcare access exist. Therefore, it is important to look at interventions that minimise the existing barriers to access. While the ultimate objective from a policy perspective should be achieving 100% coverage of institutional births in the long run, a short-term strategy makes sense in the Indian context, especially to manage the complications arising during births outside an institutional setting.

Indexed as

Health insurancehomebirthsIndiainstitutional birthsmultiple linear regressionNFHS-5public healthcare utilisation

Identifiers

PMID38827686
PMCPMC11141982

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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.