Dataset Information

Caesarean section in Palestine using the Robson Ten Group Classification System: a population-based birth cohort study.

ABSTRACT:

Objective

To analyse the current situation of caesarean section in Palestine using the Robson Ten Group Classification System (TGCS).

Design

A population-based birth cohort study.

Setting

Obstetrical departments in three governmental hospitals in Gaza.

Participants

All women (18 908) who gave birth between 1 January 2016 and 30 April 2017.

Methods

The contributions of each group to the study population and to the overall rate of caesarean section were calculated, as well as the rate of caesarean section in each TGCS group. Differences in proportions between study hospitals were assessed by ?² test.

Main outcome measures

The main outcome was the contributions of each group to the overall caesarean section rate.

Results

The overall rate of caesarean section was 22.9% (4337 of 18 908), ranging from 20.6% in hospital 1 to 24.6% in hospital 3. The largest contributors to the overall caesarean section rate were multiparous women with single cephalic full-term pregnancy who had undergone at least one caesarean section (group 5, 42.6%), women with multiple pregnancies (group 8, 11.6%) and those with single cephalic preterm labour (group 10, 8.1%). Statistically significant differences in caesarean section rates between the study hospitals were observed in group 1 (nulliparous women with single cephalic full-term pregnancy and spontaneous labour), group 4 (multiparous with single cephalic full-term pregnancy with induced labour or prelabour caesarean section), group 5 (multiparous with single cephalic full-term pregnancy with previous caesarean section) and in group 7 (multiparous with breech presentation).

Conclusion

Women in groups 5, 8 and 10 were the largest contributors to the overall caesarean section rate in the study hospitals. Efforts to reduce the differences in obstetrical care between hospitals need to be directed towards increasing the proportion of vaginal births after caesarean section and by reducing primary caesarean section in multiple pregnancies and preterm labour.

SUBMITTER: Zimmo MW

PROVIDER: S-EPMC6224732 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Caesarean section in Palestine using the Robson Ten Group Classification System: a population-based birth cohort study.

Zimmo Mohammed Walid MW Laine Katariina K Hassan Sahar S Bottcher Bettina B Fosse Erik E Ali-Masri Hadil H Zimmo Kaled K Sørum Falk Ragnhild R Lieng Marit M Vikanes Åse Å

BMJ open 20181024 10

<h4>Objective</h4>To analyse the current situation of caesarean section in Palestine using the Robson Ten Group Classification System (TGCS).<h4>Design</h4>A population-based birth cohort study.<h4>Setting</h4>Obstetrical departments in three governmental hospitals in Gaza.<h4>Participants</h4>All women (18 908) who gave birth between 1 January 2016 and 30 April 2017.<h4>Methods</h4>The contributions of each group to the study population and to the overall rate of caesarean section were calculat ...[more]

PMID: 30361403

Similar Datasets

Project description:Introduction and objectiveIn recent decades, caesarean section rates have increased dramatically worldwide and the reasons for this trend are not fully understood. This continuing trend has raised public health concerns regarding higher maternal and perinatal risks, high costs, healthcare efficiency, and inequality of services. The current study aimed to explore the perspectives and insights of healthcare providers and policymakers in the Israeli health system regarding the factors that drive caesarean section rates and the readiness and feasibility of implementing the Robson Ten Group Classification System for the first time.MethodsSemi-structured interviews were conducted (n = 12) with purposefully selected healthcare providers and policymakers in Israel. Data was analysed inductively using a thematic analysis approach.ResultsThe findings reflected the "changing landscape" in childbirth practices and attitudes that contributes to the rising caesarean section rate, including childbirth at older ages, birth planning, and a transition toward a more collaborative decision-making approach to childbirth. The participants emphasized the lack of a standardized classification or consistent data monitoring of caesarean section in the Israeli health system. Additionally, enablers to implement the Robson Ten Group Classification System in Israel (ease of use, data collection and recording, and the allocation of resources and personnel), as well as barriers (concerns over workload, limited resources, budget implications, and technological complexity), were found.ConclusionsThis study revealed the multifaceted factors shaping caesarean section rates within Israel and underscored the perceived need for evidence-based monitoring and informed decision-making in healthcare practices. Our findings support the conclusion that empirical evidence and clear data are crucial for effective caesarean section use and are currently lacking in Israeli hospitals. Thus, it is recommended to adopt a globally standardized, accepted, and effective tool-the Robson Ten Group Classification System-to accommodate the "changing landscape" in alignment with evolving medical and societal dynamics, which consequently will assist in optimizing caesarean section use.

Project description:BackgroundWith an increasing rate of caesarean sections as well as rising numbers of multiple pregnancies, valid classifications for benchmarking are needed. The Robson classification provides a method to group cases with caesarean section in order to assess differences in outcome across regions and sites. In this study we set up a novel method of classification by using routinely collected health data. We hypothesize i that routinely collected health data can be used to apply complex medical classifications and ii that the Robson classification is capable of classifying mothers and their corresponding newborn into meaningful groups with regard to outcome.Methods and findingsThe study was conducted at the coding department and the department of obstetrics and gynecology Inselspital, University Hospital of Bern, Switzerland. The study population contained inpatient cases from 2014 until 2017. Administrative and health data were extracted from the Data Warehouse. Cases were classified by a Structured Query Language code according to the Robson criteria using data from the administrative system, the electronic health record and from the laboratory system. An automated query to classify the cases according to Robson could be implemented and successfully validated. A linkage of the mother's class to the corresponding newborn could be established. The distribution of clinical indicators was described. It could be shown that the Robson classes are associated to outcome parameters and case related costs.ConclusionsWith this study it could be demonstrated, that a complex query on routinely collected health data would serve for medical classification and monitoring of quality and outcome. Risk-stratification might be conducted using this data set and should be the next step in order to evaluate the Robson criteria and outcome. This study will enhance the discussion to adopt an automated classification on routinely collected health data for quality assurance purposes.

Project description:BackgroundChina has one of the highest caesarean section (C-Section) rates in the world. In recent years, China has been experiencing a massive flow of migration due to rapid urbanization. In this study, we aimed to differentiate the rates of C-Section between migrants and residents, and explore any possible factors which may moderate the association between migrant status and C-Section rates.MethodsWe conducted a retrospective cohort study in Shanghai, China. All deliveries were classified using the modified Robson Classification. The association between women's migrant status and C-Section rates was assessed using the Poisson regression of sandwich estimation, after adjusting for possible factors.ResultsOf the 40,621 women included in the study, 66.9% were residents and 33.1% were internal migrants. The rate of C-Section in migrants was lower than that of residents in all subjects (39.9 and 47.7%) and in group 1 subjects (based on the Robson Classification) using a modified Robson Classification. There was an association between migrant status and caesarean delivery on maternal request that was statistically significant (RR = 0.664, p < 0.001), but the association was weakened after adjusting for such factors as maternal age at delivery (aRR = 0.774, p = 0.02), ethnicity (aRR = 0.753, p < 0.001), health insurance (aRR = 0.755, p < 0.001), and occupation (aRR = 0.747, p = 0.004), but had no significant changes when adjusting for health conditions (aRR = 0.668, p = 0.001) and all considering variables (aRR = 0.697, p = 0.002). In group 1 subjects, the effect of migrant status on maternal requested intrapartum C-Section was also statistically significant (RR = 0.742, p = 0.004).ConclusionC-Section rates are lower among migrant women than residents, especially on maternal request. The medical practitioners should further reinforce the management of elective C-Section in resident women.

Dataset Information

Caesarean section in Palestine using the Robson Ten Group Classification System: a population-based birth cohort study.

Objective

Design

Setting

Participants

Methods

Main outcome measures

Results

Conclusion

Publications

Caesarean section in Palestine using the Robson Ten Group Classification System: a population-based birth cohort study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets