Evidence map›Paper›PMID 36963009›Full record

ArticlePLOS global public health2023

Feasibility and readiness to implement Robson classification to monitor caesarean sections in public hospitals in Myanmar: Formative research.

Kyaw Lwin Show, Thae Maung Maung, Aung Pyae Phyo, Kyaw Thet Aung, Chetta Ngamjarus, Nyein Su Aye, Özge Tunçalp, Ana Pilar Betrán, Saw Kler Ku, Pisake Lumbiganon and 3 more

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In one paragraph

Article in PLOS global public health, 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
0.6field-weighted citation impact, top 32% 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

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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 8 institutions in 5 countries.

Kyaw Lwin ShowDepartment of Medical Research, Ministry of Health, Yangon, Myanmar.ORCID https://orcid.org/0000-0001-9349-5134
Thae Maung MaungDepartment of Medical Research, Ministry of Health, Yangon, Myanmar.ORCID https://orcid.org/0000-0002-1265-3813
Aung Pyae PhyoDepartment of Medical Research, Ministry of Health, Yangon, Myanmar.ORCID https://orcid.org/0000-0002-3420-7865
Kyaw Thet AungDepartment of Medical Research, Ministry of Health, Yangon, Myanmar.
Chetta NgamjarusFaculty of Public Health, Department of Epidemiology and Biostatistics, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-5737-5941
Nyein Su AyeIndependent Expert, Yangon, Myanmar.ORCID https://orcid.org/0000-0003-4926-945X
Özge TunçalpDepartment of Sexual and Reproductive Health and Research, UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), World Health Organization, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-5370-682X
Ana Pilar BetránDepartment of Sexual and Reproductive Health and Research, UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), World Health Organization, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-5631-5883
Saw Kler KuDepartment of Obstetrics and Gynaecology, University of Medicine 2, Yangon, Myanmar.
Pisake LumbiganonFaculty of Medicine, Department of Obstetrics and Gynaecology, Khon Kaen University, Khon Kaen, Thailand.
Khaing Nwe TinDepartment of Public Health, Maternal and Reproductive Health Division, Ministry of Health, Naypyitaw, Myanmar.ORCID https://orcid.org/0000-0002-4223-5102
Nwe Oo MonNassau University Medical Center, New York, New York, United States of America.ORCID https://orcid.org/0000-0001-5432-6880
Meghan A BohrenGender and Women's Health Unit, Centre for Health Equity, School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-4179-4682
Khon Kaen University · THMinistry of Health · MMWorld Health Organization · CHMinistry of Health and Sports · MMMyanmar Oxford Clinical Research Unit · MMNassau University Medical Center · USThe University of Melbourne · AUUniversity of Medicine 2 Yangon · MM

Funding

World Health Organization 001
6 · The paper itself

Abstract

Recent years have demonstrated an increase in caesarean section (CS) in most countries worldwide with considerable concern for the potential consequences. In 2015, WHO proposed the use of Robson classification as a global standard for assessing, monitoring and comparing CS rates. Currently, there is no standardized method to assess CS in Myanmar. The aim of this study was to explore health provider's perceptions about the feasibility, acceptability and readiness to implement the Robson classification in public hospitals across Myanmar. Ten maternities were purposively chosen, including all five teaching hospitals (tertiary referral hospital-level) affiliated to each medical university in Myanmar, which provide maternal and newborn care services, and district/township hospitals. Face-to-face in-depth interviews (IDI) with healthcare providers and facility administrators were conducted using semi-structured discussion guides. Facility and medical records systems were also assessed. We used the thematic analysis approach and Atlas.ti qualitative analysis software. A total of 67 IDIs were conducted. Most participants had willingness to implement Robson classification if there were sufficient human resources and training. Limited human resources, heavy workloads, and infrastructure resources were the major challenges described that may hinder implementation. The focal person for data entry, analysis, or reporting could be differed according to the level of facility, availability of human resources, and ability to understand medical terms and statistics. The respondents mentioned the important role of policy enforcement for the sustainability of data collection, interpretation and feedback. The optimal review interval period could therefore differ according to the availability of responsible persons, and the number of births. However, setting a fixed schedule according to the specific hospital for continuous monitoring of CS rate is required. In Myanmar, implementation of Robson classification is feasible while key barriers mainly related to human resource and training must be addressed to sustain.

Identifiers

PMID36963009
PMCPMC10022350
OpenAlexW4318586317

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read19
identifiers read3
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.