Caesarean section rates in a tertiary teaching hospital in northern Uganda: a retrospective analysis using the robson ten group classification system.

BACKGROUND: The Robson Ten Groups Classification System (RTGCS) is increasingly used to assess, monitor, and compare caesarean section (CS) rates within and between healthcare facilities. We evaluated the major contributing groups to the CS rate at Gulu Regional Referral Hospital (GRRH) in Northern Uganda using the RTGCS. METHODS: We conducted a retrospective analysis of all deliveries from June 2019 through July 2020 at GRRH, Gulu city, Uganda. We reviewed files of mothers and collected data on sociodemographic and obstetric variables. The outcome variables were Robson Ten Groups (1-10) based on parity, gestational age, foetal presentation, number of foetuses, the onset of labour, parity and lie, and history of CS. RESULTS: We reviewed medical records of 3,183 deliveries, with a mean age of 24.6 ± 5.7 years. The overall CS rate was 13.4% (n = 427). Most participants were in RTGCS groups 3 (43.3%, n = 185) and 1 (29.2%, n = 88). The most common indication for CS was prolonged labour (41.0%, n = 175), followed by foetal distress (19.9%, n = 85) and contracted pelvis (13.6%, n = 58). CONCLUSION: Our study showed that GRRH patients had a low-risk obstetric population dominated by mothers in groups 3 and 1, which could explain the low overall CS rate of 13.4%. However, the rates of CS among low-risk populations are alarmingly high, and this is likely to cause an increase in CS rates in the future. We recommend group-specific interventions through CS auditing to lower group-specific CS rates.

A study comparing the WHO C-Model caesarean section rates and observed caesarean section rates at Port Moresby General Hospital, Papua New Guinea.

BACKGROUND: Worldwide, there is an increase in caesarean deliveries. Ideal caesarean section (CS) rates continue to be a matter for debate. The World Health Organization (WHO) C-Model, is a mathematical modelling tool to assist health facilities estimate expected CS rates based on the quality middle income facilities practice. AIM: To compare WHO C-Model derived CS rates with actual CS rates at Port Moresby General Hospital. MATERIALS AND METHODS: Clinical and obstetric data for women who delivered during a four months period was used to calculate CS probability using the WHO C-Model online calculator. Comparisons of CS rates were made for the entire cohort, as well as for each Robson Classification group to assess whether there was either 'under' or 'overusage' of CS according to the C-Model estimates. RESULTS: The actual CS rate of 5.5% (246/4437) was lower than the mean C-Model rate of 8%. The C-Model rate equates to an almost 45% increase in CS rates or an additional 111 caesarean deliveries be done during the four months study period. CONCLUSION: The WHO C-Model had good predictability among most of the low-risk Robson groups that accounted for just over 80% of the study population. The suggested additional 111 caesarean deliveries needed to be performed among high-risk Robson groups represented 15% of the study population. Local hospital protocols pertaining to management of both low- and high-risk cases are credited for keeping CS rates to a minimum. A lower threshold for CS in Robson groups two and four could have led to better perinatal outcomes.

Caesarean section rates in primigravid women categorised by age and BMI.

The rising caesarean section (CS) rate is a complex issue, particularly in an increasingly heterogenous nulliparous population. The study aim was to stratify the CS rate in nulliparous women by age and BMI to determine if any difference existed. This was a retrospective review of CS procedures of nulliparous women in two centres in Ireland (2014 through 2017). Data were obtained for 17,177 women from the hospital databases and CS procedures determined for each age and BMI category. Significant differences were observed when CS rates were stratified in this manner. The CS rates for women <20 years/BMI < 18.5 was 8.8 versus 57.6% for women 35 - 39 years/BMI 30 - 34 and 76 - 100% for all women >45 years (p<.005). The development of customised charts subdivided by age and BMI may be a useful counselling tool and assist in the comparison of rates between units.Impact statementWhat is already known on this subject? It is well known that along with rising CS rates globally, there have also been significant changes in maternal demographics-with increasing maternal age at first birth and increasing maternal BMI. It is well established that both of these factors affect the rate of CS in a population.What do the results of this study add? This study sought to stratify the CS rate in nulliparous women by age and BMI to determine if any difference existed. The results of the study showed an increasing CS rate for increasing age and BMI categories that was statistically significant.What are the implications of these findings for clinical practice and/or further research? Additional research using larger population data sets could allow the development of customised charts for nulliparous women subdivided by age and BMI which could act as a useful counselling tool in clinical practice, as well as assist in the comparison of CS rates between units.

Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017.

BACKGROUND: Applying the Robson classification to all births in Brazil, the objectives of our study were to estimate the rates of caesarean section delivery, assess the extent to which caesarean sections were clinically indicated, and identify variation across socioeconomic groups. METHODS: We conducted a population-based study using routine records of the Live Births Information System in Brazil from January 1, 2011, to December 31, 2017. We calculated the relative size of each Robson group; the caesarean section rate; and the contribution to the overall caesarean section rate. We categorised Brazilian municipalities using the Human Development Index to explore caesarean section rates further. We estimated the time trend in caesarean section rates. RESULTS: The rate of caesarean sections was higher in older and more educated women. Prelabour caesarean sections accounted for more than 54 % of all caesarean deliveries. Women with a previous caesarean section (Group 5) made up the largest group (21.7 %). Groups 6-9, for whom caesarean sections would be indicated in most cases, all had caesarean section rates above 82 %, as did Group 5. The caesarean section rates were higher in municipalities with a higher HDI. The general Brazilian caesarean section rate remained stable during the study period. CONCLUSIONS: Brazil is a country with one of the world's highest caesarean section rates. This nationwide population-based study provides the evidence needed to inform efforts to improve the provision of clinically indicated caesarean sections. Our results showed that caesarean section rates were lower among lower socioeconomic groups even when clinically indicated, suggesting sub-optimal access to surgical care.

'If I do 10-15 normal deliveries in a month I hardly ever sleep at home.' A qualitative study of health providers' reasons for high rates of caesarean deliveries in private sector maternity care in Delhi, India.

BACKGROUND: Although the overall rate of caesarean deliveries in India remains low, rates are higher in private than in public facilities. In a household survey in Delhi, for instance, more than half of women delivering in private facilities reported a caesarean section. Evidence suggests that not all caesarean sections are clinically necessary and may even increase morbidity. We present providers' perspectives of the reasons behind the high rates of caesarean births in private facilities, and possible solutions to counter the trend. METHODS: Fourteen in-depth interviews were conducted with high-end private sector obstetricians and other allied providers in Delhi and its neighbouring cities, Gurgaon and Ghaziabad. RESULTS: Respondents were of the common view that private sector caesarean rates were unreasonably high and perceived time and doctors' convenience as the foremost reasons. Financial incentives had an indirect effect on decision-making. Obstetricians felt that they must maintain high patient loads to be commercially successful. Many alluded to their busy working lives, which made it challenging for them to monitor every delivery individually. Besides fearing for patient safety in these situations, they were fearful of legal action if anything went wrong. A lack of context specific guidelines and inadequate support from junior staff and nurses exacerbated these problems. Maternal demand also played a role, as the consumer-provider relationship in private healthcare incentivised obstetricians to fulfil patient demands for caesarean section. Suggested solutions included more support, from either well-trained midwives and junior staff or using a 'shared practice' model; guidelines introduced by an Indian body; increased regulation within the sector and public disclosure of providers' caesarean rates. CONCLUSIONS: Commercial interests contribute indirectly to high caesarean rates, as solo obstetricians juggle the need to maintain high patient loads with inadequate support staff. Perceptions amongst providers and consumers of caesarean section as the 'safe' option have re-defined caesareans as the new 'normal', even for low-risk deliveries. At the policy level, guidelines and public disclosures, strong initiatives to develop professional midwifery, and increasing public awareness, could bring about a sustainable reduction in the present high rates.

High perinatal mortality rates persist in Kirakira: The sustainable development goals for health remain out of reach in the provinces of Solomon Islands.

AIM: This study aimed to calculate the perinatal mortality rate in Kirakira Hospital, a remote provincial hospital in Solomon Islands, over a 3-year period, from 2014 to 2016. METHODS: A retrospective audit of the labour ward admission books for the years 2014-2016 was conducted. Patient files of all perinatal deaths and caesarean sections were accessed and reviewed. Stillbirths and early neonatal deaths were classified, and results were compared with the national health statistics of Australia (2014). RESULTS: Between 2014 and 2016, there were 1311 births and 40 perinatal deaths (mortality rate of 31 per 1000). This is approximately three times the Australian rate of 9.6 deaths per 1000. Of these deaths, 28 were stillbirths, and 12 were neonatal deaths. Detailed information was available for 88% (35/40) of the perinatal deaths. Only 15 caesarean sections (1.1% of deliveries) were performed, compared to a rate of 32.1% of caesarean sections in Australia (2014). CONCLUSIONS: Kirakira continues to have a very high perinatal mortality rate that has not changed over the last 6 years. The rate is double that reported for Solomon Islands in current World Health Organization data. This discrepancy is likely due to an absence of clinical data outside of the National Referral Hospital in Honiara. This paper identifies clinical indicators that could be targeted to help lower the perinatal mortality rate in this remote and impoverished community.

Present tendencies of elective caesarean delivery in Romania: Geographic, social and economic factors.

The literature review was conducted to identify the causes of the rising incidence of caesarean section (CS) cases in Romania, and to create a database and a measurement plan to quantify the amount of CS on maternal request and the influence of geographical, social and economic factors. The review was conducted at the Department of Obstetrics and Gynaecology Clinical Emergency Hospital Sf Pantelimon, Bucharest, and comprised figures of clinical records of all patients who underwent CS between 2009 and 2014. The results showed an increase in the number of CS on maternal requests. In 2014 it reached a rate of 36.90 cases in every 100 newborn infants, which was 2.62% higher than 2013. Increasing rate of CS seemed to have resulted from a few factors, including the constant preoccupation to improve the obstetrical field in Romania; its services; the prophylactic measures in obstetrics; the trials to prevent the fear of the obstetrical malpraxis and its risks and consequences; and the fact that some obstetricians have done multiple CS deliveries on maternal requests.

A global reference for caesarean section rates (C-Model): a multicountry cross-sectional study.

OBJECTIVE: To generate a global reference for caesarean section (CS) rates at health facilities. DESIGN: Cross-sectional study. SETTING: Health facilities from 43 countries. POPULATION/SAMPLE: Thirty eight thousand three hundred and twenty-four women giving birth from 22 countries for model building and 10,045,875 women giving birth from 43 countries for model testing. METHODS: We hypothesised that mathematical models could determine the relationship between clinical-obstetric characteristics and CS. These models generated probabilities of CS that could be compared with the observed CS rates. We devised a three-step approach to generate the global benchmark of CS rates at health facilities: creation of a multi-country reference population, building mathematical models, and testing these models. MAIN OUTCOME MEASURES: Area under the ROC curves, diagnostic odds ratio, expected CS rate, observed CS rate. RESULTS: According to the different versions of the model, areas under the ROC curves suggested a good discriminatory capacity of C-Model, with summary estimates ranging from 0.832 to 0.844. The C-Model was able to generate expected CS rates adjusted for the case-mix of the obstetric population. We have also prepared an e-calculator to facilitate use of C-Model (www.who.int/reproductivehealth/publications/maternal_perinatal_health/c-model/en/). CONCLUSIONS: This article describes the development of a global reference for CS rates. Based on maternal characteristics, this tool was able to generate an individualised expected CS rate for health facilities or groups of health facilities. With C-Model, obstetric teams, health system managers, health facilities, health insurance companies, and governments can produce a customised reference CS rate for assessing use (and overuse) of CS. TWEETABLE ABSTRACT: The C-Model provides a customized benchmark for caesarean section rates in health facilities and systems.

Disparities in Elective and Emergency Caesarean Section Rates Among Public and Private Hospitals in the Districts of Andhra Pradesh, India.

Background In India, there has been a steady increase in the rate of caesarean section (C-section) deliveries over the past decade, rising from 17% during National Family Health Survey-4 (NFHS-4 (2015-16)) to as high as 21.5% during NFHS-5 (2019-21). Andhra Pradesh, India, is experiencing a particularly high rate of 42.4% as per NFHS-5, which is the highest among the states in the country. This study aims to investigate the prevalence of C-section deliveries across the districts of Andhra Pradesh and to identify the disparities in elective and emergency C-section rates among public and private hospitals in districts of Andhra Pradesh, India. Methods The study utilized secondary data from the NFHS-5 conducted by the International Institute for Population Sciences, Mumbai. A statistical software package was used to perform the analysis, while a quantum geographic information system​​​​​​​ (QGIS) was used to prepare a map. Descriptive statistics, bivariate analysis, and multivariate binary regression were used for statistical analysis. Results Significant variations in the prevalence of C-section deliveries were found across the districts in Andhra Pradesh. The prevalence ranged from 22.2% in Anantapur to 66% in Krishna. It was also found that private hospitals were the primary drivers of the high prevalence of C-section deliveries. Approximately 31.51% of women underwent C-sections in public institutions, whereas it was 68.49% in private institutions. The overall occurrence of C-section deliveries in Andhra Pradesh was 65% for elective cases and 35% for emergency cases, indicating a relatively higher prevalence for elective procedures. Conclusion The choice of the medical institution, whether private or public, is the most significant factor influencing the high prevalence of C-section deliveries. Additionally, C-section deliveries were found with higher complication rates than normal deliveries. Elective C-sections are more prevalent in the state, and factors such as wealth quintile and birth order are impacting the likelihood of elective versus emergency C-section deliveries. The study suggests that the government should provide awareness and regulations to promote vaginal deliveries and prevent unnecessary C-sections in hospitals.

Trends and Determinants of Operative Vaginal Delivery at Two Academic Hospitals in Johannesburg, South Africa 2005-2019.

Operative Vaginal delivery (OVD) can reduce perinatal and maternal morbidity and mortality especially in low resource setting such as South Africa. We evaluated the trends and determinants of OVD rates using join point regression at Charlotte Maxeke Johannesburg (CMJAH) and Chris Hani Baragwaneth (CHBAH) Academic Hospitals from 1 January 2005−31 December 2019 and conducted a comparative study of OVD (n = 179) and normal delivery (n = 179). Over the 15-year study period (2005−2019), 323,617 deliveries and 4391 OVDs were conducted at CHBAH giving an OVD rate of 1.36 per 100 births. In CMJAH, 74,485 deliveries and 1191 OVDs were conducted over an eleven-year period (2009−2019) with OVD rate of 1.60 per 100 births. OVD rate at CHBAH increased from 2005−2014 at 9.1% per annum and declined by 13.6% from 2014−2019, while OVD rates fluctuates at CMJAH. Of the 179 patients who had OVD, majority (n = 166,92.74%) had vacuum. Women who had OVDs were younger than those who vaginal delivery (p-value < 0.001). The prevalence of OVDs was higher among nulliparous women (p-value < 0.001), HIV negative women (p-value = 0.021), underweight (p-value < 0.001) as compared to normal delivery. The OVD rates has dramatically reduced over the study period This study heightens the need to further evaluate barriers to OVD use in our environment

Cesarean Section and Development of Childhood Bronchial Asthma: Is There A Risk?

BACKGROUND: Asthma is a chronic inflammatory disease of the airways that results from complex interactions between multiple environmental and genetic influences. In recent years, studies have observed an increase in caesarean section rates, and have suggested a strong association with the rapid increase in the incidence of childhood asthma that cannot be explained by genetic factors alone. In this case-control study, we investigate the association between the developments of childhood asthma with the mode of delivery. We also explored the relationship between mode of delivery and control of asthma. METHODS: Two groups (509 pediatric patients in total) were assessed between January 1, 2017, and January 1, 2018. Part of these patients, 257 (50.4%) were asthmatic children visiting specialised clinics, and 252 (49.6%) controlled cases selected from a primary health care clinic from the same institution (control group). RESULTS: The Chi-square test revealed a significant association between cesarean sections and bronchial asthma (OR, 1.483 [95% CI, 1.013-21.71]; P =0.042). However, the adjusted OR from our binary logistic regression model revealed this association to be insignificant (adjusted OR, 1.417 [95% CI, 0.885-2.269]; P =0.804). The value of the chi-square of the model shows that the overall model is statistically significant at 1%. The Nagelkerke R square indicates that 34.9% of the variation in having asthma is explained by the risk factors included in the model. CONCLUSION: We do not believe that the rise in cesarean sections explains the increase in childhood bronchial asthma - at least not in our population. We also found no association between the mode of delivery and asthma control. We encourage further research into this topic, namely to recruit a larger number of patients, and to adjust for the significant risk factors found in our study.

Recent Lifestyle Parameters Are Associated with Increasing Caesarean Section Rates among Singleton Term Births in Austria.

Caesarean section (CS) rates are increasing in many parts of the world, recently reaching about 20% worldwide. The postmodern lifestyle characteristics, obesity and delayed childbirth, have been put forward as the main reasons for high CS rates. The present study tests the association patterns between lifestyle parameters and delivery mode on a data set of 3786 births in Vienna between 2005 and 2013. The focus is exclusively on singleton term births. As well as maternal age, prepregnancy weight status, maternal body height and gestational weight gain, newborn size (birth weight, birth length, and head circumference), Apgar scores and child presentation were recorded. Planned as well as emergency CS rates increased significantly (p < 0.0001) with increasing maternal age and decreasing maternal body height. Emergency CS rates, however, increased significantly with increasing maternal prepregnancy weight status and gestational weight gain. An especially high risk of emergency CS occurred among four groups of mothers: those older than 40 years (OR = 2.68; 95% CI 1.87⁻3.86), those who were obese (OR = 1.44; 95% 1.15⁻1.81), those experiencing a gestational weight gain above 15 kg (OR = 1.32; 95% CI 1.13⁻1.54), and those shorter than 160 cm (OR = 1.216; 95% CI 1.02⁻1.45). Emergency CS rates were significantly higher among low-weight newborns (<2500 g) and macrosome newborns (>4000 g) than among normal-weight newborns. Furthermore, breech presentation was associated with an increased risk of caesarean delivery (OR 6.97; 95% CI 6.09⁻7.96). Logistic regression analyses reveal that maternal age, maternal body height, prepregnancy weight status, gestational weight gain, birth weight, newborn head circumference and child presentation show an independent, highly significant association with caesarean delivery. We conclude that maternal and newborn characteristics typical of recent lifestyle patterns, such as advanced maternal age, obesity, increased gestational weight gain and increased newborn size, are highly significantly associated with increased emergency CS rates. Moreover, maternal shortness and breech presentation are risk factors for emergency CS.

A study of cesarean section rate by using modified Robson's ten group classification system

Background: High caesarean section rate worldwide including India is matter of concern. The Robson’s Ten-group classification system allows critical analysis of caesarean deliveries according to characteristics of pregnancy. The objective was to analyze caesarean section rates in a tertiary care centre according to Modified Robson’s ten groups classification.Methods: This retrospective study was conducted at GMERS Gotri Medical College, Vadodara, Gujarat, India. All patients who delivered between August 2018 and March 2019, were included in the study. Women were classified in 10 groups according to modified Robson’s classification using their maternal characteristics and obstetric history. For each group, authors calculated the caesarean section rate within the group and its absolute and relative contribution to the overall caesarean rate.Results: Total number of delivery in my study institute in 8 months was 1531 out of them 456 was cesarean section, so the overall caesarean section rate was 29.78%. The main contributions to overall caesarean rate was 40.78% by group 5 (previous CS, singleton, cephalic, >37weeks) followed by 14.25% by group 1 (nullipara, singleton, cephalic, >37 weeks, spontaneous labour), 11.40% by group 2 (nullipara, singleton, cephalic,>37 weeks, induced or CS before labour). CS rates among various group ranges from 100% among women with abnormal lie (group 9) to 98.4% in previous CS (group 5), 84% in nulliparous breech (group 6), 58% in multiparous breech (group 7) and least 8.2% in multipara spontaneous labour (group 3).Conclusions: The Robson’s classification is easy to use. It is time to implement obstetric audit to lower the overall CS rates.

Audit of caesarian deliveries in a tertiary care center, in rural Bangalore, India

Background: The Robson’s Ten-Group Classification System allows critical analysis of caesarean deliveries according to characteristics of pregnancy. The objective was to analyze caesarean section rates in a rural tertiary care teaching hospital in Bangalore, using Robson’s ten groups classification.Methods: This study was done in MVJ Medical College and Research Hospital, a rural tertiary care teaching hospital. All patients who underwent caesarean delivery, between November 2017 and October 2018, were included in the study. Women were classified in 10 groups according to Robson’s classification. For each group, authors calculated its relative contribution to the overall caesarean rate.Results: The overall caesarean section rate was 46.7%. The main contributors to this high caesarean rate were primiparous women in spontaneous labour (group 1) and women with previous caesarean section (group 5).  52.1% of CS were conducted on women who were unbooked or booked at a peripheral health facility and referred to present institution due to complications in labor. Strategies to lower CS rates would include encouraging women with previous CS, to undergo trial of labor to reduce CS rates for group 5C. Sensitization of staff in peripheral medical facilities for early referral of high-risk pregnancies to a tertiary care center for better control of medical complications like hypertensive disorders of diabetes mellitus. Other strategies include offering external cephalic version to eligible women with breech presentation and consider offering vaginal breech delivery to suitable women in groups 6 and 7.Conclusions: The Robson’s classification is easy to use. It is time to implement obstetric audit to lower the overall CS rates.

A global reference for caesarean section rates (C-Model): a multicountry cross-sectional study

Objective: To generate a global reference for caesarean section (CS) rates at health facilities. Design: Cross-sectional study. Setting: Health facilities from 43 countries. Population/sample: Thirty eight thousand three hundred and twenty-four women giving birth from 22 countries for model building and 10,045,875 women giving birth from 43 countries for model testing. Methods: We hypothesised that mathematical models could determine the relationship between clinical-obstetric characteristics and CS. These models generated probabilities of CS that could be compared with the observed CS rates. We devised a three-step approach to generate the global benchmark of CS rates at health facilities: creation of a multi-country reference population, building mathematical models, and testing these models. Main outcome measures: Area under the ROC curves, diagnostic odds ratio, expected CS rate, observed CS rate. Results: According to the different versions of the model, areas under the ROC curves suggested a good discriminatory capacity of C-Model, with summary estimates ranging from 0.832 to 0.844. The C-Model was able to generate expected CS rates adjusted for the case-mix of the obstetric population. We have also prepared an e-calculator to facilitate use of C-Model (www.who.int/reproductivehealth/publications/maternal_perinatal_health/c-model/en/). Conclusions: This article describes the development of a global reference for CS rates. Based on maternal characteristics, this tool was able to generate an individualised expected CS rate for health facilities or groups of health facilities. With C-Model, obstetric teams, health system managers, health facilities, health insurance companies, and governments can produce a customised reference CS rate for assessing use (and overuse) of CS. (AU)

A global reference for caesarean section rates (C-Model): a multicountry cross-sectional study

ObjectiveTo generate a global reference for caesarean section(CS) rates at health facilities.DesignCross-sectional study.SettingHealth facilities from 43 countries.Population/SampleThirty eight thousand three hundred andtwenty-four women giving birth from 22 countries for modelbuilding and 10 045 875 women giving birth from 43 countriesfor model testing.MethodsWe hypothesised that mathematical models coulddetermine the relationship between clinical-obstetric characteristicsand CS. These models generated probabilities of CS that could becompared with the observed CS rates. We devised a three-stepapproach to generate the global benchmark of CS rates at health facilities: creation of a multi-country reference population,building mathematical models, and testing these models.Main outcome measuresArea under the ROC curves, diagnosticodds ratio, expected CS rate, observed CS rate.ResultsAccording to the different versions of the model, areasunder the ROC curves suggested a good discriminatory capacityof C-Model, with summary estimates ranging from 0.832 to 0.844.The C-Model was able to generate expected CS rates adjusted forthe case-mix of the obstetric population. We have also preparedan e-calculator to facilitate use of C-Model (www.who.int/reproductivehealth/publications/maternal_perinatal_health/c-model/en/).ConclusionsThis article describes the development of a globalreference for CS rates. Based on maternal characteristics, this toolwas able to generate an individualised expected CS rate for healthfacilities or groups of health facilities. With C-Model, obstetricteams, health system managers, health facilities, health insurancecompanies, and governments can produce a customised referenceCS rate for assessing use (and overuse) of CS