Evidence map›Paper›PMID 36517885›Full record

ArticleBMC health services research2022

Interventions targeting healthcare providers to optimise use of caesarean section: a qualitative comparative analysis to identify important intervention features.

Rana Islamiah Zahroh, Dylan Kneale, Katy Sutcliffe, Martha Vazquez Corona, Newton Opiyo, Caroline S E Homer, Ana Pilar Betrán, Meghan A Bohren

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Responses to increased rates of caesarean births.Bulletin of the World Health Organization · 2025
    Article
  3. Review
  4. 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

8 authors.

Rana Islamiah ZahrohGender and Women's Health Unit, Centre for Health Equity, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia. r.zahroh@unimelb.edu.au.ORCID http://orcid.org/0000-0001-7831-2336
Dylan KnealeEPPI-Centre, UCL Social Research Institute, University College London, London, UK.ORCID http://orcid.org/0000-0002-7016-978X
Katy SutcliffeEPPI-Centre, UCL Social Research Institute, University College London, London, UK.ORCID http://orcid.org/0000-0002-5469-8649
Martha Vazquez CoronaGender and Women's Health Unit, Centre for Health Equity, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-2061-9540
Newton OpiyoUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland.ORCID http://orcid.org/0000-0003-2709-3609
Caroline S E HomerMaternal, Child, and Adolescent Health Program, Burnet Institute, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-7454-3011
Ana Pilar BetránUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-5631-5883
Meghan A BohrenGender and Women's Health Unit, Centre for Health Equity, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-4179-4682

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundRapid increases in caesarean section (CS) rates have been observed globally; however, CS rates exceeding 15% at a population-level have limited benefits for women and babies. Many interventions targeting healthcare providers have been developed to optimise use of CS, typically aiming to improve and monitor clinical decision-making. However, interventions are often complex, and effectiveness is varied. Understanding intervention and implementation features that likely lead to optimised CS use is important to optimise benefits. The aim of this study was to identify important components that lead to successful interventions to optimise CS, focusing on interventions targeting healthcare providers. 

methodsWe used Qualitative Comparative Analysis (QCA) to identify if certain combination of important intervention features (e.g. type of intervention, contextual characteristics, and how the intervention was delivered) are associated with a successful intervention as reflected in a reduction of CS. We included 21 intervention studies targeting healthcare providers to reduce CS, comprising of 34 papers reporting on these interventions. To develop potential theories driving intervention success, we used existing published qualitative evidence syntheses on healthcare providers' perspectives and experiences of interventions targeted at them to reduce CS.

resultsWe identified five important components that trigger successful interventions targeting healthcare providers: 1) training to improve providers' knowledge and skills, 2) active dissemination of CS indications, 3) actionable recommendations, 4) multidisciplinary collaboration, and 5) providers' willingness to change. Importantly, when one or more of these components are absent, dictated nature of intervention, where providers are enforced to adhere to the intervention, is needed to prompt successful interventions. Unsuccessful interventions were characterised by the absence of these components.

conclusionWe identified five important intervention components and combinations of intervention components which can lead to successful interventions targeting healthcare providers to optimise CS use. Health facility managers, researchers, and policy-makers aiming to improve providers' clinical decision making and reduce CS may consider including the identified components to optimise benefits.

Indexed as

Cesarean SectionHealth PersonnelComparative Effectiveness ResearchFemaleHumansPregnancyCaesarean sectionComplex interventionIntervention implementationMaternal healthQualitative comparative analysis

Identifiers

PMID36517885
PMCPMC9753390

What OpenQuestion holds

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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.