Evidence map›Paper›PMID 37133240›Full record

ArticleGlobal health action2023

What to scale first? A cross-sectional analysis of factors affecting cesarean delivery rates at first referral units in Bihar, India.

Anna Alaska Pendleton, Rohini Dutta, Minal Shukla, Anusha Jayaram, Anita Gadgil, Sasmita Hembram, Nobhojit Roy, Nakul P Raykar

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

8 authors at 6 institutions in 3 countries.

Anna Alaska PendletonProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-9800-0110
Rohini DuttaProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-9674-0067
Minal ShuklaCare India, Patna, India.
Anusha JayaramProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-3776-7419
Anita GadgilWorld Health Organization Collaborating Center for Research in Surgical Care Delivery in Low-and-Middle Income Countries, Mumbai, India.
Sasmita HembramWorld Health Organization Collaborating Center for Research in Surgical Care Delivery in Low-and-Middle Income Countries, Mumbai, India.
Nobhojit RoyWorld Health Organization Collaborating Center for Research in Surgical Care Delivery in Low-and-Middle Income Countries, Mumbai, India.ORCID 0000-0003-2022-7416
Nakul P RaykarProgram in Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-1825-7333
World Health Organization - India · INBrigham and Women's Hospital · USCare India · INKarolinska Institutet · SEMassachusetts General Hospital · USTufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow rates of caesarean delivery (CD) (<10%) hinder access to a lifesaving procedure for the most vulnerable populations in low-resource settings, but there is a paucity of data regarding which factors contribute most to CD rates.

objectivesWe aimed to determine caesarean delivery rates at Bihar's first referral units (FRUs) stratified by facility level (regional, sub-district, district). The secondary aim was to identify facility-level factors associated with caesarean delivery rates.

methodsThis cross-sectional study used open-source national datasets from government FRUs in Bihar, India, from April 2018-March 2019. Multivariate Poisson regression analysed association of infrastructure and workforce factors with CD rates.

resultsOf 546,444 deliveries conducted at 149 FRUs, 16961 were CDs, yielding a state-wide FRU CD of 3.1%. There were 67 (45%) regional hospitals, 45 (30%) sub-district hospitals, and 37 (25%) district hospitals. Sixty-one percent of FRUs qualified as having intact infrastructure, 84% had a functioning operating room, but only 7% were LaQshya (Labour Room Quality Improvement Initiative) certified. Considering workforce, 58% had an obstetrician-gynaecologist (range 0-10), 39% had an anaesthetist (range 0-5), and 35% had a provider trained in Emergency Obstetric Care (EmOC) (range 0-4) through a task-sharing initiative. The majority of regional hospitals lack the essential workforce and infrastructure to perform CDs. Multivariate regression including all FRUs performing deliveries demonstrated that presence of a functioning operating room (IRR = 21.0, 95%CI 7.9-55.8, p < 0.001) and the number of obstetrician-gynaecologists (IRR = 1.3, 95%CI 1.1-1.4, p = 0.001) and EmOCs (IRR = 1.6, 95%CI 1.3-1.9, p < 0.001) were associated with facility-level CD rates.

conclusionOnly 3.1% of the institutional childbirths in Bihar's FRUs were by CD. The presence of a functional operating room, obstetrician, and task-sharing provider (EmOC) was strongly associated with CD. These factors may represent initial investment priorities for scaling up CD rates in Bihar.

Indexed as

Cesarean SectionEmergency Medical ServicesCross-Sectional StudiesDelivery, ObstetricFemaleHealth FacilitiesHumansIndiaPregnancyCesarean deliveryEmOCIndiaobstetric capacitytask-sharing

Identifiers

PMID37133240
PMCPMC10158535
OpenAlexW4367834289

What OpenQuestion holds

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LicenceCC BY
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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.