Dataset Information

Caesarean section rates analysed using Robson's 10-Group Classification System: a cross-sectional study at a tertiary hospital in Ethiopia.

ABSTRACT: OBJECTIVE:The 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. DESIGN:Cross-sectional study design to determine CS rate using Robson's 10-Group Classification System. SETTING:Hawassa University Referral Hospital in south Ethiopia. PARTICIPANTS:4004 women who gave birth in Hawassa University Referral Hospital from June 2018 to June 2019. RESULTS:The 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%). CONCLUSION:A 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.

SUBMITTER: Abdo AA

PROVIDER: S-EPMC7594350 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Caesarean section rates analysed using Robson's 10-Group Classification System: a cross-sectional study at a tertiary hospital in Ethiopia.

Abdo Abdella Amano AA Hinderaker Sven Gudmund SG Tekle Achamyelesh Gebretsadik AG Lindtjørn Bernt B

BMJ open 20201028 10

<h4>Objective</h4>The 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.<h4>Design</h4>Cross-sectional study design to determine CS rate using Robson's 10-Group Classification System.<h4>Setting</h4>Hawassa University Referral Hospital in south Ethiopia.<h4>Participants</h4>4004 women who gave birth in Hawassa University Referral Hospital from June ...[more]

PMID: 33115900

Similar Datasets

Project description:BackgroundIncreasing cesarean section (CS) rates are a global concern because they are related to higher maternal and neonatal complication rates and do not provide positive childbirth experiences. In 2019, Brazil ranked second globally, given its overall CS rate of 57%. According to the World Health Organization (WHO), populational CS rates of 10-15% are associated with decreased maternal, neonatal, and infant mortality rates. This study aimed to investigate whether multidisciplinary care following evidence-based protocols associated with a high motivation of both women and professionals for a vaginal birth leads to less overuse of CS in a Brazilian private practice (PP).MethodsThis cross-sectional study evaluated CS rates by Robson group for women who sought vaginal birth in a private practice in Brazil comparing with Swedish data. Collaborative care of midwives and obstetricians who adopted evidence-based guidelines was offered. CS rates, overall and by Robson group, contribution of each Robson group to the overall CS rate, clinical and nonclinical interventions, vaginal birth, pre-labor CS, and intrapartum CS proportions were estimated. The expected CS rate was calculated using the World Health Organization C-model tool. The analysis used Microsoft Excel and R Studio (version 1.2.1335. 2009-2019).ResultsThe PP overall CS rate was 15.1% (95%CI, 13.4-17.1%) versus the 19.8% (95%CI, 14.8-24.7%) rate expected by the WHO C-model tool. The population included 43.7% women in Robson Group 1 (nulliparous, single, cephalic, at term, spontaneous labor), 11.4% in Group 2 (nulliparous, single, cephalic, at term, induced labor or CS before labor), and 14.9% in Group 5 (multiparous women with previous CS), the greatest contributors to higher CS rates (75.4% of them). The Swedish overall CS rate was 17.9% (95%CI, 17.6-18.1%) in a population of 27% women in Robson Group 1, 10.7% in Group 2, and 9.2% in Group 5.ConclusionsMultidisciplinary care following evidence-based protocols, associated with high motivation of both women and professionals for vaginal birth, may lead to a significant and safe reduction of CS rates even in contexts such as Brazil, with high medicalization of obstetric care and excess CS.

Project description:IntroductionWHO has recommended using Robson's Ten Group Classification System (TGCS) to monitor and analyze CD rates. Its failure to take some maternal and organizational factors into account, however, could limit the interpretation of CD rate comparisons, because it may contribute to variations in hospital CD rates.ObjectiveTo study the contribution of maternal socioeconomic and clinical characteristics and hospital organizational factors to the variation in CD rates when using Robson's ten-group classification system for CD rate comparisons.MethodsThis prospective, observational, population-based study included all deliveries at a gestational age > 24 weeks at the 10 hospitals of the French MYPA perinatal network in the Paris area. CD rates were calculated for each TGCS group in each hospital. Interhospital variations in these rates were investigated with hierarchical logistic regression models to quantify the variation explained by differences in patient and hospital characteristics when the TGCS is considered. Variations in CD rates between hospitals were estimated with median odds ratios (MOR) to express interhospital variance on the standard odds ratio scale. The percentage of variation explained by TGCS and maternal and hospital characteristics was also calculated.ResultsThe global CD rate was 24.0% (interhospital range: 17-32%). CD rates within each TGCS group differed significantly between hospitals (P<0.001). CD was significantly associated with maternal age (>40 years), severe preeclampsia, and two organizational factors: hospital status (private maternities) and the deliveries per staff member per 24 hours. The MOR in the empty model was 1.27 and did not change after taking the TGCS into account. Adding maternal characteristics and hospital organizational factors lowered the MOR to 1.14 and reduced the variation between hospital CD rates by 70%.ConclusionMaternal characteristics and hospital factors are needed to address variation in CD rates among the TGCS groups. Therefore, comparisons of these rates that do not consider these factors should be interpreted carefully.

Project description:BackgroundGlobally, the increased use of cesarean sections has become prevalent in high-income and low and middle-income countries. In Palestine, the rate had risen from 20.3% in 2014 to 25.1% in 2018. We have rates as high as 35.8% in some governmental hospitals and some as low as 15%. This study aimed to understand better why there is a variation in cesarean rates in governmental hospitals that use the same guidelines.MethodsA qualitative and quantitative research approach was used. In-depth interviews were conducted with 27 specialists, obstetrics and gynecologists, and midwives in five government hospitals. The hospitals were selected based on the 2017 Annual Health Report reported cesarean section rates. The interview guide was created with the support of specialists and researchers and was piloted. Questions focused mainly on adherence to the obstetric guidelines and barriers to the use, sources of information, training for healthcare providers, the hospital system, and the factors that affect decision-making. Each hospital's delivery records for one month were analyzed to determine the reason for each cesarean section.ResultsThe results indicated that each governmental hospital at the system level had a different policy on cesarean sections. The National Guidelines were found to be interpreted differently among hospitals. One obstetrician-gynecologist decided on a cesarean section at high-rate hospitals, while low-rate hospitals used collective decision-making with empowered midwives. At the professional level, all hospitals urged the importance of a continuous training program to refresh the medical team knowledge, in-house training of new members joining the hospital, and discussion of cases subjective to obstetrician-gynecologists interpretations.ConclusionSeveral institutional factors were identified to strengthen the implementation of the national obstetric guidelines. For example, encouraging collective decision-making between obstetrician-gynecologists and midwives, promoting the use of a second opinion, and mandatory training.

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.

Project description:BackgroundCaesarean section (CS) rate is a quality of health care indicator frequently used at national and international level. The aim of this study was to assess whether adjustment for Robson's Ten Group Classification System (TGCS), and clinical and socio-demographic variables of the mother and the fetus is necessary for inter-hospital comparisons of CS rates.MethodsThe study population includes 64,423 deliveries in Emilia-Romagna between January 1, 2003 and December 31, 2004, classified according to theTGCS. Poisson regression was used to estimate crude and adjusted hospital relative risks of CS compared to a reference category. Analyses were carried out in the overall population and separately according to the Robson groups (groups I, II, III, IV and V-X combined). Adjusted relative risks (RR) of CS were estimated using two risk-adjustment models; the first (M1) including the TGCS group as the only adjustment factor; the second (M2) including in addition demographic and clinical confounders identified using a stepwise selection procedure. Percentage variations between crude and adjusted RRs by hospital were calculated to evaluate the confounding effect of covariates.ResultsThe percentage variations from crude to adjusted RR proved to be similar in M1 and M2 model. However, stratified analyses by Robson's classification groups showed that residual confounding for clinical and demographic variables was present in groups I (nulliparous, single, cephalic, ≥37 weeks, spontaneous labour) and III (multiparous, excluding previous CS, single, cephalic, ≥37 weeks, spontaneous labour) and IV (multiparous, excluding previous CS, single, cephalic, ≥37 weeks, induced or CS before labour) and to a minor extent in groups II (nulliparous, single, cephalic, ≥37 weeks, induced or CS before labour) and IV (multiparous, excluding previous CS, single, cephalic, ≥37 weeks, induced or CS before labour).ConclusionsThe TGCS classification is useful for inter-hospital comparison of CS section rates, but residual confounding is present in the TGCS strata.

Dataset Information

Caesarean section rates analysed using Robson's 10-Group Classification System: a cross-sectional study at a tertiary hospital in Ethiopia.

Publications

Caesarean section rates analysed using Robson's 10-Group Classification System: a cross-sectional study at a tertiary hospital in Ethiopia.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets