Analysis of Cesarean Section Rate using Robson 10 Group Classification System in a Tertiary Hospital: An Observational Study

§ Sarojini Naidu Medical College

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Analysis of Cesarean Section Rate using Robson 10 Group Classification System in a Tertiary Hospital: An Observational Study

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Background

I. BACKGROUND

Over the last few decades, there has been a progressive increase in the rate of cesarean section deliveries in our country. WHO has recommended that this rate should be between 10% and 15% but the driver behind this trend is not completely understood especially in developing countries. 1 , 2 Immediate and long-term complications of CS included increased risk of maternal mortality and morbidity, increased need for blood transfusion, longer hospitalization, postpartum infections, retained placenta, stillbirths, postpartum hemorrhage.

Over the last few decades, there has been a progressive increase in the rate of cesarean section deliveries in our country. WHO has recommended that this rate should be between 10% and 15% but the driver behind this trend is not completely understood especially in developing countries. (1,2). The rising cesarean section trend is a major public health concern due to potential maternal and perinatal risks associated with this. Immediate and long-term complications of CS included increased risk of maternal mortality and morbidity, increased need for blood transfusion, longer hospitalization, postpartum infections, retained placenta, stillbirths, postpartum hemorrhage.

To understand this and to implement effective measures to reduce cesarean section rates, a tool is required to monitor and compare cesarean section rates in the same setting over time and among different settings. Traditionally, at the facility level, we monitor cesarean section rates using the overall percentage of deliveries by cesarean section. But because of some intrinsic differences in hospital factors and infrastructure, a difference in characteristics of the population, and differences in clinical management protocols, this "overall cesarean section rate" becomes difficult to interpret and compare. Ideally, there should be a classification system to monitor and compare cesarean section rates. Such a system should be simple, clinically relevant, accountable, replicable, and verifiable (3,4.5). In 2015, WHO introduced Robson's criteria in the year 2015 as a standardized method to determine the rate and indications of cesarean section and issued an implementation manual(6).

■ Obstetric history (parity and previous cesarean section)

■ The onset of labor (spontaneous, induced, or cesarean section before the onset of labor)

■ Fetal presentation or lie(cephalic, breech, or transverse)

■ Number of neonates

■ Gestational age (pretermorterm).

II. MATERIALS AND METHODS

This study is a cross-sectional study of 5744 women delivered in the department of obstetrics of S.N. Medical College, Agra performed from 1 s t April 2020 to 31 s t March 2021. S.N.Medical College is a tertiary referral hospital where around 6000 deliveries take place annually.

All women who underwent cesarean section in the hospital during the specified period were included in the study.

Cases with incomplete information, doubtful gestational age, and laparotomy for uterine rupture were excluded from the study. The identity of women who underwent cesarean section was obtained from the delivery register, admission and discharge register, and operation register. The admission and discharge register and delivery register contained information about all women who delivered in the hospital regardless of the mode of delivery (vaginal, Caesarean section) while the operation register contained only information about women who underwent Caesarean section. Using the medical registration number of each woman, we accessed all Caesarean section files performed during the study.10 groups and their characteristics are shown in table 1. Gestational age was categorized as a term (>/=37 weeks) or preterm (<37 weeks). Patient's demographic data, patient's parity, obstetric history, the onset of labor, fetal presentation or lie, number of neonates, gestational age were collected. The indications for cesarean section were grouped using a flowchart (figure 1).

Table 1: The Robson Classification
1Nulliparous women with a single cephalic pregnancy, ≥37 weeks gestation in spontaneous labor
2Nulliparous women with a single cephalic pregnancy, ≥37 weeks gestation who had labor induced or were delivered by cesarean section before labor
2aCesarean section performed after induction of labor
2bCesarean section performed before onset of labor
3Multiparous women without a previous cesarean section, with a single cephalic pregnancy≥37 wee ks gestation in spontaneous labor
4Multiparous women without a previous cesarean section, with a single cephalic pregnancy, ≥37 weeks gestation who had labor induced or were delivered by cesarean section before labor
4aCesarean sections performed after induction of labor
4bCesarean sections performed before onset of labor
5All multiparous women with one or more previous cesarean sections, with a single cephalic pregnancy≥37 weeks gestation
5.1With one previous cesarean section
5.2With two or more previous cesarean sections
6All nulliparous women with a single breech pregnancy
7All multiparous women with a single breech pregnancy including women with previous cesarean section
8All women with multiple pregnancies including women with previous cesarean section
9All women with a single pregnancy with a transverse or oblique lie, including women with previous cesarean section
10All women with a single cephalic pregnancy < 37 weeks gestation, including women with previous cesarean section
Figure 1: Flow chart for the classification of women in the Robson Classification
Figure 1: Flow chart for the classification of women in the Robson Classification

III. RESULT

To make the most of the information provided by the Robson Classification in local settings and to allow comparisons between settings, the data is best reported in a standardized way (the "Robson Classification Report Table") 7

Table 2: The Robson Classification Report Table
GroupNumber of CS in groupNumber of women in the groupGroup Size1 (%)Group CS rate2 (%)Absolute group contribution to overall CS rate3 (%)The relative contribution of a group to overall CS rate4 (%)
1214175030.4312.233.7314.21
220460310.4933.833.5513.55
348134623.433.570.843.19
4582594.5122.391.013.85
560387315.1269.0710.5040.04
660771.3477.921.043.98
736821.4343.900.632.39
827711.2438.020.471.79
939420.7392.860.682.59
1021774112.9029.283.7814.41
Total*Total number CS 1506Total number women delivered 5744100%Overall CS rate 26.22%Overall CS rate 26.22%100%

A. Steps to assess the quality of data

Table 3: Steps to assess the quality of data using the Robson Classification Report Table
StepsRobson guidelineResultInterpretation
1. The total number of cesarean sections and women delivered in our hospitalThese numbers should be the same as the total number of cesarean sections performed and of women delivered in the hospital.57We excluded the cases with incomplete data
2. Look at the size of Group 9 i.e. all women with single ton transverse or oblique lie.It should be less than 1%.0.73%It is less than 1%
3. Look at the CS rate of Group 9It should be 100% by convention.92.863 extremely preterm pregnancies with intrauterine death of fetus were delivered vaginally

B. Steps to assess the type of population

Table 4: Steps to assess the type of population using the Robson Classification Report Table
StepsRobson guidelineResultInterpretation
1. Look at the size of Group1+ 2i.e. All nulliparous women ≥37 weeks gestationsing letoncephalicThis usually represents 35-42% of the obstetric population of most hospitals.40.9%It is within the acceptable range
2. Look at the size of Groups 3+4 i.e. All multiparous women ≥37 weeks gestation single ton cephalic, without previous CSThis usually represents about 30% of women.26.2%The reason for low size of Groups 3 and 4 could be that the size of Group 5 is very high which is accompanied by a high overall CS rate.
3. Look at the size of Group 5. (Multiparous women with previous cesarean section ≥37 weeks gestation with singleton cephalic pregnancy).It is related to the overall CS rate. Group 5 usually contributes to about half of the total CS rate. In settings with low overall CS rates it is usually under10%.15.12%Overall CS rate is usually related to the size of group 5 and the size of this group is larger (>15%) if the institute has high CS rate in the pasty ears mainly in Groups 1and 2.
4. Look at the size of Groups6+7ie. Breeches in nulliparous women + breeches in multiparous womenIt should be 3-4%2.77%It is within the acceptable range
5. Look at the size of Groups 8 MultiplesIt should be 1.5 -2%1.43%It is nearly within the acceptable range
6. Look at the size of Groups 10 Preterm cephalic and singletonsIt should be less than 5% in most normal risk settings.12.9%Can be higher in tertiary hospitals as women with high-risk factors are being referred to our hospital. These women require induction of labor, so it is accompanied by a high rate of cesarean section in this group.
7. Look at the Ratio of the size of Group1 versus Group2It is usually 2:1 or higher2.90It is acceptable according to Robson.
8. Look at the Ratio of the size of Group3 versus Group 4It is always higher than the ratio of Group1/Group2 in the same institution. This is a very reliable finding in confirming data quality and culture of the organization.5.2The Ratio of group3:group4 is larger than the ratio of group 1:group2 which strongly signifies the reliability of data
9. Look at the Ratio of the size of Group 6 and Group7.The ratio of nulliparous breech/multiparous breech is usually 2:1 because breeches are more frequent in nulliparous women than in multiparous women.Ratio 0.94It can be because of an unusual nullipara/multipara ratio.

C. Steps to assess the rate of cesarean section

Table 5: Steps to assess cesarean section rates using the Robson Report Table
StepsRobson guidelineResultInterpretation
1. Look at the CS rate for Group1Rates under 10% are achievable12.23%It is slightly higher in our hospital.
2. Look at the CS rate for Group2Consistently around 20-35%33.83%It is within the appropriate range.
3. Look at the CS rate for Group3Normally, no higher than 3.0%.3.57%Slightly higher than 3%
4. Look at the CS rate for Group 4It rarely should be higher than15%22.39%CS rates in Group 4 reflect the size and rates in 4a and 4b. If the size of Group4 is large (there are more cases of prelabour cesarean sections), the overall CS rate in Group 4 is also to be high.
5. Look at the CS rate for Group 5Rates of 50-60% are considered appropriate.69.07%Rates are higher, this is due to a large number of women with 2 or more previous CS.
6. Look at the CS rate for Group8It is usually around 60%.38.02%The lower rate can be due to more number of multiparous twins or due to nulliparous/multiparous with or without a previous scar.
7. Look at the CS rate in Group10In most populations, it is usually around 30%29.28%It is around 30% in our institution
8. Look at the relative contribution of Groups 1,2, and 5 to the overall CS rateThese three groups combined normally contribute to 2/3rd (66%) of all Caesarean sections done in most hospitals.These three groups combined contributed to 67.8% of all CSThese three groups are contributing to 2/3rd of all CS.
9. Look at the absolute contribution of Group 5 to the overall C.S rateThis group was responsible for 40% of all CSThis indicates that C.S. rates in Groups 1 and 2 have generally been high in previous years, and should be investigated further.

IV. Discussion

Cesarean sections are becoming more common over the world, with rates rising from 12% in 2000 to 21% in 2015. 8 In India, the caesarean section rate has been steadily growing from 8.5 percent in 2005-2006 to 17.2 percent in 2015-2016, following global trends. 9 Many authors have expressed their satisfaction with this classification and have suggested that it be utilised more widely. 10 , 11 Madhav Prasad wrote in a 2015 article that now is an ideal moment for India to use the 10-group Robsons classification to rate caesarean sections. 12 The bulk of caesarean sections were found in groups 2 and 5, according to Deepika Jamwal et al. Group 5 was responsible for 40.3 percent of all caesarean sections, while group 2 was responsible for 29.2%. 13 At a study conducted in a private tertiary care centre in northwest India, Priyanka D. Jogia et al. discovered that group 5 (women with a history of CS) contributed the most (37 percent) to overall surgical deliveries, with group 2 being the second highest contributor (21 percent). 14 Pratima et al conducted a study of 81,784 deliveries (62,336 vaginal and 19,448 Cesarean deliveries) over 3 years. The year-wise CS rate was 22.4%, 23.5% and 25.5%, respectively. The largest contributor was by group 5 followed by group 2 and group 1. Based on 3-year data, it was predicted in the study that the CS rate will increase by 0.905% annually in the coming 3 years. (15). During the study period, our institution's overall caesarean section rate was 26.22 percent, which looks to be higher than the national norm. Robson group 5 was the most significant single contribution to our institution's CS rate. Cesarean section rate in group 1 was higher than recommended i.e.12.23% (rate <10% are achievable) and in group 3 CS rate was 3.57% against the recommended rate of <3%. In group 5 the cesarean section rate between 50-60% is recommended but in our institution CS rate in group 5 was 69% as a large number of women with previous 2 or more cesarean sections were being admitted. The absolute contribution of group 5 is very high (40%), this indicates high CS rates. The size of group 5 is frequently connected to the overall caesarean section rate. The size of group 5 in our study was 15%, which explains our institution's overall increased caesarean section rate. It's also worth noting that Robson group 10 has grown in size (preterm deliveries). Because women with high-risk conditions are referred to our hospital, Robson group 5 can be greater in tertiary hospitals. Induction of labour is necessary for these women, hence there is a high rate of caesarean section in this group. n group 1 and group 2 in previous years.

V. CONCLUSION

Reducing the primary cesarean section rate in group 1 and group 2 will reduce the overall cesarean section rate in the institution.

References

14 Cites in Article
  1. Ana Betrán,Jianfeng Ye,Anne-Beth Moller,Jun Zhang,A Gülmezoglu,Maria Torloni (2016). The Increasing Trend in Caesarean Section Rates: Global, Regional and National Estimates: 1990-2014.
  2. (2015). WHO Statement on caesarean section rates.
  3. (2016). Central Statistical Agency (CSA) [Ethiopia] and ICF. Ethiopia Demographic and Health Survey 2016.
  4. Nebreed Fesseha,Atnafu Getachew,Mihret Hiluf,Yirgu Gebrehiwot,Patricia Bailey (2011). A national review of cesarean delivery in Ethiopia.
  5. (2015). WHO Statement on caesarean section rates.
  6. (2007). Robson, Baron (Life Peer), (William Snowdon Robson) (10 Sept. 1852–11 Sept. 1918).
  7. Ties Boerma,Carine Ronsmans,Dessalegn Melesse,Aluisio Barros,Fernando Barros,Liang Juan,Ann-Beth Moller,Lale Say,Ahmad Hosseinpoor,Mu Yi,Dácio De Lyra Rabello Neto,Marleen Temmerman (2018). Global epidemiology of use of and disparities in caesarean sections.
  8. Akash Mallick (2017). Prevalence of low birth weight in India and its determinants: Insights from the National Family Health Survey (NFHS), 2015–2016.
  9. Maria Torloni,Ana Betran,Joao Souza,Mariana Widmer,Tomas Allen,Metin Gulmezoglu,Mario Merialdi (2011). Classifications for Cesarean Section: A Systematic Review.
  10. A Betra´n,N Vindevoghel,J Souza (2014). A systematic review of the Robson classification for cesarean section: what works, doesn't work and how to improve it.
  11. Madhav Prasad (2015). Good Time to Adopt Ten-Group Robson Classification to Report LSCS Rates in India?.
  12. Deepika Jamwal,Pallavi Sharma,Anil Mehta,Jiteshwar Pannu (2021). Analysis of caesarean sections using Robson’s classification system in a tertiary care centre in Northern India: an emerging concept to audit the increasing caesarean section rate.
  13. D Priyanka,Jogia Analysis of cesarean sections according to modified Robson's ten group classification system at a tertiary care center in Western India.
  14. Pratima Mittal,Divya Pandey,Jyotsna Suri,Rekha Bharti (2019). Trend Prediction for Cesarean Deliveries Based on Robson Classification System at a Tertiary Referral Unit of North India.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Abhilasha Yadav, Dr. Rachna Agrawal, Dr. K Romila Chawang, Dr. Ruchika Garg. 2022. "Analysis of Cesarean Section Rate using Robson 10 Group Classification System in a Tertiary Hospital: An Observational Study". Global Journal of Medical Research - E: Gynecology & Obstetrics GJMR-E Volume 21 (GJMR Volume 21 Issue E4).

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High c-section rate in hospital study.
Journal Specifications

Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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GJMR-E Classification NLMC Code: WQ 430
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v1.2

Issue date
January 15, 2022

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Analysis of Cesarean Section Rate using Robson 10 Group Classification System in a Tertiary Hospital: An Observational Study

Dr. Yadav
Dr. Yadav Sarojini Naidu Medical College
Dr. Agrawal
Dr. Agrawal
Dr. Chawang
Dr. Chawang
Dr. Garg
Dr. Garg