Evidence map›Paper›PMID 30782951›Full record

Observational studyBMJ open2019

Implementation of the WHO manual for Robson classification: an example from Sri Lanka using a local database for developing quality improvement recommendations.

Hemantha Senanayake, Monica Piccoli, Emanuelle Pessa Valente, Caterina Businelli, Rishard Mohamed, Roshini Fernando, Anshumalie Sakalasuriya, Fathima Reshma Ihsan, Benedetta Covi, Humphrey Wanzira and 1 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  6. [Classification of caesarean sections by 10 Robson groups in a second level hospital].Revista medica del Instituto Mexicano del Seguro Social · 2023
    Observational
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  13. Observational
  14. Gestational Risk as a Determining Factor for Cesarean Section according to the Robson Classification Groups.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2021
    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

11 authors.

Hemantha SenanayakeUniversity Obstetrics Unit, De Soysa Hospital for Women, Colombo, Sri Lanka.
Monica PiccoliWHO Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy.
Emanuelle Pessa ValenteWHO Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy.ORCID 0000-0002-4741-4628
Caterina BusinelliWHO Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy.
Rishard MohamedUniversity Obstetrics Unit, De Soysa Hospital for Women, Colombo, Sri Lanka.
Roshini FernandoFaculty of Medicine, Department of Obstetrics and Gynaecology, University of Colombo, Colombo, Sri Lanka.
Anshumalie SakalasuriyaFaculty of Medicine, Department of Obstetrics and Gynaecology, University of Colombo, Colombo, Sri Lanka.
Fathima Reshma IhsanFaculty of Medicine, Department of Obstetrics and Gynaecology, University of Colombo, Colombo, Sri Lanka.
Benedetta CoviWHO Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy.
Humphrey WanziraWHO Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy.
Marzia LazzeriniWHO Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy.

Funding

CIHR
6 · The paper itself

Abstract

objectivesThis study aimed at describing the use of a prospective database on hospital deliveries for analysing caesarean section (CS) practices according to the WHO manual for Robson classification, and for developing recommendations for improving the quality of care (QoC).

designObservational study.

settingUniversity Obstetric Unit at De Soysa Hospital for Women, the largest maternity unit in Sri Lanka. DATA COLLECTION AND ANALYSIS: For each childbirth, 150 variables were routinely collected in a standardised form and entered into a database. Data were routinely monitored for ensuring quality. Information on deliveries occurring from July 2015 to June 2017 were analysed according the WHO Robson classification manual. Findings were discussed internally to develop quality improvement recommendations.

results7504 women delivered in the hospital during the study period and at least one maternal or fetal pathological condition was reported in 2845 (37.9%). The CS rate was 30.0%, with 11.9% CS being performed prelabour. According to the Robson classification, Group 3 and Group 1 were the most represented groups (27.0% and 23.1% of population, respectively). The major contributors to the CS rate were group 5 (29.6%), group 1 (14.0%), group 2a (13.3%) and group 10 (11.5%). The most commonly reported indications for CS included abnormal cardiotocography/suspected fetal distress, past CS and failed progress of labour or failed induction. These suggested the need for further discussion on CS practices. Overall, 18 recommendations were agreed on. Besides updating protocols and hands-on training, activities agreed on included monitoring and supervision, criterion-based audits, risk management meetings and appropriate information for patients, and recommendations to further improve the quality of data.

conclusionsThis study provides an example on how the WHO manual for Robson classification can be used in an action-oriented manner for developing recommendations for improving the QoC, and the quality of data collected.

Indexed as

Cesarean SectionDatabases, FactualFemaleHealth Planning GuidelinesHospitals, UniversityHumansPregnancyQuality ImprovementSri LankaWorld Health Organizationcaesarean sectionhealth information systemquality of carerobson clasification

Identifiers

PMID30782951
PMCPMC6411254

What OpenQuestion holds

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LicenceCC BY-NC
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.