Evidence map›Paper›PMID 35136786›Full record

ArticleJournal of family medicine and primary care2021

Changing scenario of C-section delivery in India: Understanding the maternal health concern and its associated predictors.

Nivedita Roy, Piyush Kumar Mishra, Vijay Kumar Mishra, Vijay Kumar Chattu, Souryakant Varandani, Sonu Kumar Batham

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Robson Caesarean Calc© App: A User-Friendly Tool for Healthcare Providers.Journal of obstetrics and gynaecology of India · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Nivedita RoyDepartment of Implementation Research, Society for Applied Studies, 45, Vijay Mandal Enclave, Kalu Sarai, New Delhi, India.
Piyush Kumar MishraDepartment of Community Medicine, Government Medical College, Khandwa, Madhya Pradesh, India.
Vijay Kumar MishraDepartment of Research, Public Health Foundation of India, Plot. 47,Sector-44, Institutional Area, Gurgaon, Haryana, India.
Vijay Kumar ChattuDepartment of Medicine(University of Toronto, Canada) and Department of Public Health (Saveetha University, India), Faculty of Medicine, University of Toronto, ON, Canada.
Souryakant VarandaniDepartment of Community Medicine, Government Medical College, Khandwa, Madhya Pradesh, India.
Sonu Kumar BathamDepartment of Obstetrics & Gynaecology, Chhindwara Institute of Medical Sciences, Chhindwara, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCaesarean section (C-section) delivery is a serious maternal health concern in the long run. Notedly, there is a lack of studies dealing with understanding the ways and reasons of C-section deliveries becoming a public health issue in today's time in India and the measures to reduce the unnecessary caesarean sections. We have conducted this study to study the changes in the state-wise prevalence of C-section deliveries in India and understand C-section delivery's socioeconomic and biomedical predictors. MATERIALS AND

methodsThe study uses data from the fourth and fifth rounds of the National Family Health Surveys (NFHS). The per cent differences in the C-section deliveries from NFHS-4 to NFHS-5 across the states were measured through relative changes. The association between the C-section delivery and socioeconomic and biomedical factors were assessed using multiple logistic regression.

resultsThis study revealed that the C-section deliveries are higher in the southern states than in the other parts of India. Literacy plays a vital role in C-section deliveries. The probabilities of C-section deliveries are more in 30-40 and 40 + years. The women belonging to the median wealth index category were more likely (OR-CI, 1.62 [1.55-1.66]) to undergo the C-section followed by the women from wealthy households (OR-CI, 1.46 [1.41-1.52]).

conclusionThe Government's health policymakers should take the initiative to reduce the C-section section delivery by means of building maternal health literacy and awareness among women and the community so that its future implications can be minimised. It is crucial to formulate a mandate and implement it in the states where C-sections are too high through community health workers and primary care providers.

Indexed as

C-sectionmaternal healthmultiple logistic regressionout-of-pocket expenditureprivate health facilitysocio-economic status

Identifiers

PMID35136786
PMCPMC8797113

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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 OpenQuestion graph.