Evidence map›Paper›PMID 36276795›Full record

ArticleAJOG global reports2022

Association between Robson classification groups and cesarean delivery: a longitudinal analysis in Mongolia.

Ulambayar Shinejil, Junko Kiriya, Akira Shibanuma, Russell Miller, Durrenbileg Avirmed, Masamine Jimba

Abstract read
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Article in AJOG global reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ulambayar ShinejilDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Junko KiriyaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Akira ShibanumaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Russell MillerDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Durrenbileg AvirmedUrguu Maternity Hospital, Ulaanbaatar, Mongolia.
Masamine JimbaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of cesarean deliveries has increased sharply worldwide over the last 3 decades. The World Health Organization recommends using the Robson classification as the best tool for monitoring and auditing cesarean delivery rates and to safely reduce the rate of avoidable cesarean deliveries.

objectiveThis study aimed to identify the association between the Robson classification groups and cesarean delivery in 2008 and 2018 at the Urguu Maternity Hospital, Ulaanbaatar, Mongolia, and to examine the changes in this association over 10 years. STUDY

designThis cross-sectional study was conducted using 21,225 participants' electronic birth records (9544 in 2008 and 11,681 in 2018) from the Urguu Maternity Hospital. Birth records were categorized into 10 groups using the Robson classification report table. Multiple logistic regressions were conducted to examine the association between the Robson classification group and the cesarean delivery rate for 2008 and 2018. The same regression analysis was subsequently conducted using a pooled data set to capture the changes in the association among the Robson classification group, a birth-year dummy, and the cesarean delivery rate.

resultsThe odds of having a cesarean delivery when classified in group 1 in 2018 (adjusted odds ratio, 3.02; 95% confidence interval, 1.85-4.94;

conclusionThe high percentage of mothers classified as group 5 who gave birth via cesarean delivery suggests that healthcare providers should work with mothers in group 5 to increase their willingness to give birth vaginally after a previous cesarean delivery in an attempt to reduce the overall cesarean delivery rates. Further research is needed to better understand the factors that may influence the increasing rates of birth through cesarean delivery.

Indexed as

10 group classificationbirth modecesarean deliverylongitudinal changesurgical birth

Identifiers

PMID36276795
PMCPMC9563194

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