Analysis of caesarean sections using Robson 10-group classification system in a university hospital in eastern Ethiopia: a cross-sectional study.
Ontology highlight
ABSTRACT: Objective
To analyse caesarean section (CS) using Robson 10-group classification system in an Ethiopian university hospital.Design
Cross-sectional study.Setting
A university hospital in eastern, Ethiopia.Participants
980 women who underwent CS from January 2016 to April 2017.Main outcome
Robson groups (1-10-based on gestational age, fetal presentation, number of fetus, onset of labour and history of CS) and indications for CS.Results
Robson group 3 (multiparous women with single cephalic full-term pregnancy in spontaneous labour with no history of CS), group 5 (multiparous women with single cephalic full-term pregnancy with history of CS) and group 1 (single cephalic nulliparous women full-term pregnancy in spontaneous labour) were the major contributors to the overall CS at 21.4%, 21.1% and 19.3%, respectively. The three major indications for CS were fetal compromise (mainly fetal distress), obstructed labour (mainly cephalopelvic disproportion) and previous CS.Conclusion
Robson groups 3, 5 and 1 were the major contributors to the overall CS rate. Fetal compromise, obstructed labour and previous CS were the underlying indications for performing CS. Further study is required to assess the appropriateness of the indications and to reduce CS among the low-risk groups (groups 1 and 3).
SUBMITTER: Tura AK
PROVIDER: S-EPMC5892782 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:ObjectiveThe rates of caesarean section (CS) in Ethiopian private hospitals are high compared with those in public facilities, and there are limited descriptions of groups of women contributing to these high rates. The objective of this study was to describe the groups contributing to increased CS rates using the Robson classification in two major private hospitals in eastern Ethiopia.DesignCross-sectional study.SettingTwo major private hospitals in eastern Ethiopia.ParticipantsAll women who gave birth from 9 January 2019 to 8 January 2020 in two major private hospitals in eastern Ethiopia.Primary and secondary outcome measuresThe primary outcome was the Robson 10 Group Classification System. The secondary outcome was indication for CS as recorded in the medical files.ResultsOf 1203 births in both hospitals combined during the study period, 415 (34.5%) were by CS. Women with a uterine scar due to previous CS (group 5), single cephalic term multiparous women in spontaneous labour (group 3) and single cephalic term nulliparous women in spontaneous labour (group 1) were the leading groups contributing 33%, 27.5% and 17.1%, respectively. The leading documented indications were fetal compromise (29.4%), previous CS (27.2%) and obstructed labour (12.3%).ConclusionMore than three-fourths of CS were performed among Robson groups 5, 3 and 1, indicating inadequate trial of labour after CS or management of labour among relatively low-risk groups (3 and 1). Improving management of spontaneous labour and strengthening clinical practice around safely providing the option of vaginal birth after CS practice are strategies required to reduce the high CS rates in these private facilities.
| S-EPMC8395281 | biostudies-literature
Project description:ObjectiveThe aim of this study was to assess the caesarean section (CS) rates using Robson's 10-Group Classification System among women who gave birth at Hawassa University Referral Hospital in southern Ethiopia.DesignCross-sectional study design to determine CS rate using Robson's 10-Group Classification System.SettingHawassa University Referral Hospital in south Ethiopia.Participants4004 women who gave birth in Hawassa University Referral Hospital from June 2018 to June 2019.ResultsThe 4004 women gave birth to 4165 babies. The overall CS rate was 32.8% (95% CI: 31.4%-34.3%). The major contributors to the overall CS rates were: Robson group 1 (nulliparous women with singleton pregnancy at term in spontaneous labour) 22.9%; group 5 (multiparous women with at least one previous CS) 21.4% and group 3 (multiparous women without previous CS, with singleton pregnancy in spontaneous labour) 17.3%. The most commonly reported indications for CS were 'fetal compromise' (35.3%) followed by previous CS (20.3%) and obstructed labour (10.7%).ConclusionA high proportion of women giving birth at this hospital were given a CS, and many of them were in a low-risk group. Few had trial of labour. More active use of partogram, improving fetal heartbeat-monitoring system, implementing midwife-led care, involving a companion during labour and auditing the appropriateness of CS indications may help to reduce the CS rate.
| S-EPMC7594350 | biostudies-literature
Project description:BackgroundCaesarean section is necessary to save the lives of mothers and newborns at times, but it is important to perform it only when it is essential due to all the risks involved. This study aimed to examine the rate of caesarean sections performed at a tertiary hospital using the Robson classification to detect methods for the detection of and/or reduction in these caesarean section rates.MethodsA descriptive, cross-sectional study of a retrospective database was carried out.ResultsA total of 10,317 births were assessed. The Robson classification was used to assess these interventions and verify whether the indication for performed caesarean sections was appropriate. In total, 2036 births by caesarean section were performed in the whole sample. The annual caesarean section rate varied between 18.67% and 21.18%.ConclusionsCaesarean sections increased by about 20% in 2021 compared to 2020 even though the trend over the years of study was decreasing. Vaginal delivery after caesarean section is a reasonable and safe option. Caesarean section rates could be improved, mostly in Robson's Group 2. The Robson classification facilitated progress in the implementation of measures aimed at improving care and adjusting caesarean section rates.
| S-EPMC10780088 | biostudies-literature
Project description:ObjectiveTo analyse the current situation of caesarean section in Palestine using the Robson Ten Group Classification System (TGCS).DesignA population-based birth cohort study.SettingObstetrical departments in three governmental hospitals in Gaza.ParticipantsAll women (18 908) who gave birth between 1 January 2016 and 30 April 2017.MethodsThe 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 measuresThe main outcome was the contributions of each group to the overall caesarean section rate.ResultsThe 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).ConclusionWomen 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.
| S-EPMC6224732 | biostudies-literature
Project description:BackgroundRising caesarean section (CS) rates have been observed worldwide in recent decades. This study sought to analyse trends in CS rates and outcomes among a variety of obstetric groups at a university hospital in a low-income country.MethodsWe conducted a hospital-based panel study at Muhimbili National Hospital, Dar es Salaam, Tanzania. All deliveries between 2000 and 2011 with gestational age ≥ 28 weeks were included in the study. The 12 years were divided into four periods: 2000 to 2002, 2003 to 2005, 2006 to 2008, and 2009 to 2011. Main outcome measures included CS rate, relative size of obstetric groups, contribution to overall CS rate, perinatal mortality ratio, neonatal distress, and maternal mortality ratio. Time trends were analysed within the ten Robson groups, based on maternal and obstetric characteristics. We applied the χ2 test for trend to determine whether changes were statistically significant. Odds ratios of CS were evaluated using multivariate logistic regression, accounting for maternal age, referral status, and private healthcare insurance.ResultsWe included 137,094 deliveries. The total CS rate rose from 19% to 49%, involving nine out of ten groups. Multipara without previous CS with single, cephalic pregnancies in spontaneous labour had a CS rate of 33% in 2009 to 2011. Adjusted analysis explained some of the increase. Perinatal mortality and neonatal distress decreased in multiple pregnancies (p < 0.001 and p = 0.003) and nullipara with breech pregnancies (p < 0.001 and p = 0.024). Although not statistically significant, there was an increase in perinatal mortality (p = 0.381) and neonatal distress (p = 0.171) among multipara with single cephalic pregnancies in spontaneous labour. The maternal mortality ratio increased from 463/100, 000 live births in 2000 to 2002 to 650/100, 000 live births in 2009 to 2011 (p = 0.031).ConclusionThe high CS rate among low-risk groups suggests that many CSs might have been performed on questionable indications. Such a trend may result in even higher CS rates in the future. While CS can improve perinatal outcomes, it does not necessarily do so if performed routinely in low-risk groups.
| S-EPMC3655870 | biostudies-literature
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.
| S-EPMC7703923 | biostudies-literature
Project description:In most regions worldwide, caesarean section (CS) rates are increasing. In these settings, new strategies are needed to reduce CS rates.To identify, critically appraise and synthesise studies using the Robson classification as a system to categorise and analyse data in clinical audit cycles to reduce CS rates.Medline, Embase, CINAHL and LILACS were searched from 2001 to 2016.Studies reporting use of the Robson classification to categorise and analyse data in clinical audit cycles to reduce CS rates.Data on study design, interventions used, CS rates, and perinatal outcomes were extracted.Of 385 citations, 30 were assessed for full text review and six studies, conducted in Brazil, Chile, Italy and Sweden, were included. All studies measured initial CS rates, provided feedback and monitored performance using the Robson classification. In two studies, the audit cycle consisted exclusively of feedback using the Robson classification; the other four used audit and feedback as part of a multifaceted intervention. Baseline CS rates ranged from 20 to 36.8%; after the intervention, CS rates ranged from 3.1 to 21.2%. No studies were randomised or controlled and all had a high risk of bias.We identified six studies using the Robson classification within clinical audit cycles to reduce CS rates. All six report reductions in CS rates; however, results should be interpreted with caution because of limited methodological quality. Future trials are needed to evaluate the role of the Robson classification within audit cycles aimed at reducing CS rates.Use of the Robson classification in clinical audit cycles to reduce caesarean rates.
| S-EPMC5763379 | biostudies-other
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.
| S-EPMC7971954 | biostudies-literature
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.
| S-EPMC10964469 | biostudies-literature
Project description:Background: The increasing rates of Caesarean section (CS) beyond the WHO standards (10-15%) pose a significant global health concern. Objective: Systematic review and meta-analysis to identify an association between CS history and maternal adverse outcomes for the subsequent pregnancy and delivery among women classified in Robson classification (RC). Search Strategy: PubMed/Medline, EbscoHost, ProQuest, Embase, Web of Science, BIOSIS, MEDLINE, and Russian Science Citation Index databases were searched from 2008 to 2018. Selection Criteria: Based on Robson classification, studies reporting one or more of the 14 adverse maternal outcomes were considered eligible for this review. Data Collection: Study design data, interventions used, CS history, and adverse maternal outcomes were extracted. Main Results: From 4,084 studies, 28 (n = 1,524,695 women) met the inclusion criteria. RC group 5 showed the highest proportion among deliveries followed by RC10, RC7, and RC8 (67.71, 32.27, 0.02, and 0.001%). Among adverse maternal outcomes, hysterectomy had the highest association after preterm delivery OR = 3.39 (95% CI 1.56-7.36), followed by Severe Maternal Outcomes OR = 2.95 (95% CI 1.00-8.67). We identified over one and a half million pregnant women, of whom the majority were found to belong to RC group 5. Conclusions: Previous CS was observed to be associated with adverse maternal outcomes for the subsequent pregnancies. CS rates need to be monitored given the prospective risks which may occur for maternal and child health in subsequent births.
| S-EPMC8795992 | biostudies-literature