Evidence map›Paper›PMID 26259956›Full record

ArticleMaternal and child health journal2016

Impact of Alternative Maternal Demand-Side Financial Support Programs in India on the Caesarean Section Rates: Indications of Supplier-Induced Demand.

Lennart Bogg, Vishal Diwan, Kranti S Vora, Ayesha DeCosta

Abstract read
In one paragraph

Article in Maternal and child health journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Geographic variation in caesarean delivery in India.Paediatric and perinatal epidemiology · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Interventions in Reducing Caesarean Section in the World: A Systematic Review.The Malaysian journal of medical sciences : MJMS · 2019
    Review
  9. Article
  10. Article
  11. Article
  12. Article
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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.

Lennart BoggDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden. lennart.bogg@ki.se.ORCID http://orcid.org/0000-0003-0368-050X
Vishal DiwanDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Kranti S VoraIndian Institute of Public Health, Gandhinagar, Gujarat, India.
Ayesha DeCostaDepartment of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis paper examines two state-led public-private demand-side financial support programs aiming to raise hospital delivery rates in two neighbouring Indian states-Gujarat and Madhya Pradesh. The national Janani Suraksha Yojana (JSY) was complemented with a public-private partnership program Janani Sahayogi Yojana (JSaY) in Madhya Pradesh in which private obstetricians were paid to deliver poor women. A higher amount was paid for caesarean sections (CS) than for vaginal deliveries (VD). In Gujarat state, the state program Chiranjeevi Yojana (CY) paid private obstetricians a fixed amount for a block 100 deliveries irrespective of delivery mode. The two systems thus offered an opportunity to observe the influence of supplier-induced demand (SID) from opposite incentives related to delivery mode.

methodsThe data from the two programs was sourced from the Departments of Health and Family Welfare, Governments of Gujarat and Madhya Pradesh, India.

resultsIn JSaY program the CS rate increased from 26.6% (2007-2008) to 40.7% (2010-2011), against the background rate for CS in Madhya Pradesh, of only 4.9% (2004-2006). Meanwhile in CY program in Gujarat, the CS rate decreased to 4.3% (2010-2011) against a background CS rate of 8.1% (2004-2006).

conclusionsThe findings from India are unique in that they not only point to a significant impact from the introduction of the financial incentives but also how disincentives have an inverse impact on the choice of delivery method.

Indexed as

Program EvaluationAdultCesarean SectionFemaleFinancing, GovernmentGift GivingHealth Services AccessibilityHumansIndiaMaternal Health ServicesPregnancyPublic-Private Sector PartnershipsSocioeconomic FactorsCaesareanHealth insuranceIndiaInstitutional deliveryMaternal and child health

Identifiers

PMID26259956
PMCPMC4712220

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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.