Contents
Download PDF
pdf Download XML
156 Views
128 Downloads
Share this article
Research Article | Volume 13 Issue:3 (, 2023) | Pages 2316 - 2331
Utilizing Robson's Ten-Group Classification as a Predictor for Cesarean Section Rates
 ,
 ,
 ,
1
Professor Department of OBS &GYNAE SSMC Rewa MP
2
Assistant Professor Department of OBS &GYNAE ABVGMC Vidisha MP
3
Assistant Professor Department of OBS &GYNAE SSMC Rewa MP
4
Former PG Resident Department of OBS &GYNAE SSMC Rewa MP
Under a Creative Commons license
Open Access
PMID : 16359053
Received
Aug. 16, 2023
Revised
Aug. 30, 2023
Accepted
Sept. 4, 2023
Published
Sept. 20, 2023
Abstract

Background: The escalating global rates of cesarean sections (CS) have raised concerns regarding maternal and neonatal outcomes. While CS can be life-saving, their overuse poses significant risks, necessitating a careful balance between benefits and risks. In India, regional disparities and socioeconomic factors contribute to varying CS rates, highlighting the need for context-specific interventions. Objective: This study aimed to investigate the patterns of CS utilization and associated factors in the Central Vindhya region, with a focus on identifying clinically relevant groups contributing most to CS deliveries. Methods: A cross-sectional study was conducted at the Department of Obstetrics and Gynaecology, S.S. Medical College, Rewa, Madhya Pradesh, India. Data were collected retrospectively from hospital records of 7,484 women who underwent CS over a specified 3-year period. Robson's classification system was used to categorize CS cases into ten groups based on pregnancy characteristics, obstetric history, labor progression, and gestational age. Results: The overall CS rate was 28.18%, with multiparous women with prior cesarean sections (Robson's group 5) constituting the largest proportion of CS cases (32.58%). Nulliparous women in spontaneous labor (group 1) and those with induced labor or cesarean before labor (group 2) also contributed significantly to CS rates. Indications for CS included previous cesarean section (32.57%), fetal distress (16.56%), and meconium-stained liquor (19.2%). Conclusion: This study provides valuable insights into CS utilization patterns and associated factors in the Central Vindhya region. The findings underscore the importance of context-specific interventions to optimize CS utilization while ensuring maternal and neonatal safety. Further research is warranted to explore effective strategies for reducing CS rates and improving maternal health outcomes in resource-limited settings.

 

Keywords
INTRODUCTION

The escalating rates of cesarean sections (CS) globally have prompted concerns regarding maternal and neonatal outcomes, particularly when CS rates exceed 10% [1,2]. While CS can be life-saving in situations where vaginal delivery is contraindicated, their overuse or performance without clear indications poses significant risks [3]. These risks encompass short and long-term complications, ranging from maternal morbidity to increased mortality rates, necessitating a careful balance between benefits and risks, prioritizing the well-being of both mother and child [4-6].

In India, where institutional delivery rates are high, regional disparities and socioeconomic factors contribute to varying CS rates, potentially leading to both overutilization and underutilization of this intervention [7]. Rural areas often lack access to adequately equipped health facilities, exacerbating maternal mortality and complications [8]. Thus, ensuring optimal CS rates while safeguarding maternal and neonatal safety presents a considerable challenge

To address this challenge, continuous auditing of CS rates is essential. The World Health Organization (WHO) recommends Robson's classification, also known as the Ten-Group Classification System (TGCS), as a global standard for monitoring CS rates [9]. This classification system categorizes CS into ten groups based on pregnancy characteristics, obstetric history, labor progression, and gestational age.

Despite numerous studies on CS standardization and classification, including notable works by Prameela et al., a research gap persists in the Central Vindhya region regarding CS rates based on Robson's classification [10]. Hence, this study aims to fill this gap by identifying the clinically relevant groups contributing most to CS deliveries in this region. By elucidating the specific groups driving CS rates, this research seeks to inform targeted interventions aimed at optimizing CS utilization while ensuring maternal and neonatal safety.

MATERIAL AND METHODS

Study Design: This cross-sectional study was conducted at the Department of Obstetrics and Gynaecology, S.S. Medical College, Rewa, Madhya Pradesh, India. Approval from the 9institutional ethics committee was exempted as this was a record-based study.*

Study Center: S.S. Medical College is a prominent tertiary referral hospital affiliated with Madhya Pradesh Medical Sciences University, Jabalpur. The hospital handles approximately 10,000 to 11,000 deliveries annually, catering to both referred and admitted cases with varying degrees of complications.

Study Population: The study population comprised 7,484 women who underwent cesarean sections (CS) at or beyond 28 weeks of gestation in the hospital over a specified 3-year period from January 2020- Dec 2022.

Inclusion Criteria: Women with onset of labor (spontaneous, induced, or planned CS), singleton or multiple pregnancies, fetal presentation (cephalic, breech, or abnormal lie), and parity (with or without previous cesarean) were included.

Exclusion Criteria: Term or preterm normal or instrumental deliveries, as well as cases of laparotomy for uterine rupture, were excluded from the study.

Data Collection: Patient data were retrieved from various hospital registers, including the labor number register, maternity OT register, admission register, and discharge register. These registers contain comprehensive information about all women who delivered in the hospital, irrespective of the mode of delivery.

Statistical Analysis: All collected data were recorded on a predesigned proforma, including demographic details, maternal history, pregnancy-related information (parity, gestational age, fetal presentation, number of fetuses, onset of labor), management outcomes, and maternal and fetal outcomes at discharge (complications, birth weight). Data analysis was performed using simple statistical methods, such as percentages and proportions.

RESULTS:

RESULTS:

During the specified time period, a total of 26,552 deliveries were conducted at the hospital, out of which 7,484 were delivered by cesarean section (CS), resulting in a CS rate of 28.18%. Table 1 summarizes the characteristics of the study participants, including age distribution, area of residence, gravidity, gestational age, history of previous cesarean delivery, fetal presentation, number of fetuses, onset of labor, fetal outcome, and birth weight distribution.

Table 1: Robson’s classification

Robson’s group

Total no. of deliveries in each group

Total no. of CS in each group

Relative size of group (%)

CS rates (%)

Contribution made by each group in total CS (%)

1

9584

2204

36.09

22.99

29.44

2

3775

914

14.21

24.21

12.21

3

5851

360

22.03

6.15

4.81

4

2516

315

9.47

12.51

4.21

5

2846

2438

10.71

85.66

32.58

6

601

482

2.26

80.19

6.44

7

307

206

1.15

67.10

2.75

8

191

109

0.71

57.06

1.46

9

277

277

1.04

100

3.70

10

604

179

2.96

31.29

2.39

 

Table 2: Characteristics of Study Participants

The highest contribution to CS was observed in Robson's group 5 (multiparous with prior cesarean section, singleton, cephalic, >37 weeks), accounting for 32.58%, followed by group 1 (nulliparous, singleton, cephalic, term in spontaneous labor) and group 2 (nulliparous, singleton, cephalic, term induced or cesarean before labor) with contributions of 22.45% and 12.25%, respectively.

Additionally, 6.44% of CS cases belonged to group 6 (all nulliparous breech), while CS rates in group 3 (multiparous without previous cesarean, singleton, cephalic term in spontaneous labor) and group 4 (multiparous without previous cesarean, singleton, cephalic, term induced or cesarean before labor) were 4.81% and 4.20%, respectively. Furthermore, CS rates in groups 10 (singleton, cephalic, <37 weeks including previous cesarean sections) and 7 (all multiparous breech) were 3.70% and 2.75%, respectively. CS rates were lowest in group 8 (all multiple pregnancies including previous CS) at 1.45%. Table 2 present the distribution of CS according to Robson's groups.

Table 3: Categorization of Cesarean Sections According to Robson's Classification

Characteristics

Variable

N

Percentage (%)

Age (Years)

<20

299

3.99

20-35

6736

90

>35

449

5.99

 

Area of residence

Rural

2320

30.99

Urban

5164

69

 

Gravidity

Primigravida

3855

51.5

Multigravida

3629

48.5

 

Gestational age (Weeks)

 

<37

179

2.39

37-42

7196

96.15

>42

0

0

 

 

History of previous caesarean delivery

 

0 previous

4638

61.97

1 previous caesarean

2206

29.47

2 previous caesareans

630

8.41

3 previous caesareans

10

0.13

 

Fetal presentation

 

Cephalic

6440

86.05

Breech

767

10.24

Others

277

3.70

 

Number of fetus

Singleton

7375

98.54

Multiple

109

1.45

 

Onset of labor

 

Spontaneous

5212

69.64

Induced

547

7.30

Planned C section

1725

23.04

 

Fetal outcome

Live birth

7123

95.17

IUD

361

4.82

 

Birth weight (Kg)

 

<2.5

1531

20.45

2.5-4

5286

70.63

>4

667

8.91

Indications leading to cesarean sections are detailed in Table 4, with previous cesarean section being the most common indication (32.57%), followed by fetal distress (16.56%) and meconium-stained liquor (19.2%).

Table 4: Indications for caesarean sections

Indication

N

Percentage (%)

Previous C section

2438

32.57

Fetal distress

1240

16.56

Hypertensive disorders of pregnancy

156

2.08

Meconium-stained liquor

1437

19.2

Failed medical induction

547

7.30

Cephalopelvic disproportion/ non progression of labor/ obstructed labor

330

4.41

Breech

767

10.25

Abruption

48

0.64

Placenta previa

30

0.4

Transverse lie

277

3.7

Severe oligohydramnios/ anhydramnios

214

2.8

These results provide insights into the distribution of cesarean sections according to Robson's classification and highlight the prevalence of various indications leading to cesarean deliveries in the study population.

DISCUSSION

The results of this study provide valuable insights into the patterns of cesarean section (CS) utilization and associated factors in the Central Vindhya region, contributing to the broader discourse on obstetric care and maternal health outcomes. Our findings underscore the multifaceted nature of CS rates, influenced by a combination of clinical, demographic, and institutional factors.

The observed CS rate of 28.18% aligns with global trends of increasing CS rates, reflecting a complex interplay of medical, social, and cultural factors [11]. Notably, Robson's classification revealed that multiparous women with prior cesarean sections (Robson's group 5) constituted the largest proportion of CS cases, emphasizing the impact of obstetric history on delivery mode decisions [12]. Similarly, nulliparous women in spontaneous labor (group 1) and those with induced labor or cesarean before labor (group 2) contributed significantly to CS rates, highlighting the importance of labor progression and management strategies in obstetric care [13].

Our findings also shed light on demographic disparities in CS rates, with primigravida women comprising a significant proportion of the study population. This demographic subgroup may require tailored approaches to address unique obstetric needs and minimize unnecessary interventions [14]. Moreover, the prevalence of indications such as fetal distress, meconium-stained liquor, and failed medical induction underscores the complexity of decision-making in obstetric practice and the need for vigilant monitoring to ensure timely interventions [15].

The high proportion of CS cases attributed to previous cesarean sections underscores the importance of appropriate management strategies for vaginal birth after cesarean (VBAC) and efforts to prevent primary cesarean deliveries. Evidence-based guidelines and multidisciplinary approaches are essential to optimize VBAC rates and reduce the burden of repeat cesarean deliveries [16].

Recent studies have emphasized the role of shared decision-making and patient-centered care in obstetric practice, highlighting the need for informed discussions about the risks and benefits of cesarean delivery [17]. Additionally, interventions aimed at promoting vaginal birth, such as labor support, continuous fetal monitoring, and non-pharmacological pain management strategies, may help reduce CS rates and improve maternal and neonatal outcomes [18].

Limitations of study: This study includes the retrospective design, reliance on hospital records, and potential for underreporting or misclassification of CS indications. Future research endeavors should focus on prospective studies, qualitative investigations, and implementation research to identify effective strategies for reducing CS rates and improving maternal health outcomes in resource-limited settings.

CONCLUSION

The study contributes to the growing body of evidence on CS utilization and underscores the need for context-specific interventions to optimize obstetric care and ensure safe and equitable outcomes for mothers and newborns in the Central Vindhya region

REFERENCES
  1. WHO Statement on Cesarean Section Rates. World Health Organization. Available at: [https://www.who.int/publications/i/item/WHO-RHR-15.02]. Accessed on [20.03.2024].
  2. Betran AP, Torloni MR, Zhang J, et al. WHO Statement on Cesarean Section Rates. BJOG. 2016;123(5):667-670.
  3. Boerma T, Ronsmans C, Melesse DY, et al. Global epidemiology of use of and disparities in caesarean sections. Lancet. 2018;392(10155):1341-1348.
  4. Gibbons L, Belizán JM, Lauer JA, Betrán AP, Merialdi M, Althabe F. Inequities in the use of cesarean section deliveries in the world. Am J Obstet Gynecol. 2012;206(4):331.e1-331.e19.
  5. Souza JP, Gülmezoglu AM, Lumbiganon P, et al. Caesarean section without medical indications is associated with an increased risk of adverse short-term maternal outcomes: the 2004-2008 WHO Global Survey on Maternal and Perinatal Health. BMC Med. 2010;8:71.
  6. Victora CG, Aquino EM, Leal MC, Monteiro CA, Barros FC, Szwarcwald CL. Maternal and child health in Brazil: progress and challenges. Lancet. 2011;377(9780):1863-1876.
  7. International Institute for Population Sciences (IIPS) and ICF. 2017. National Family Health Survey (NFHS-4), 2015-16: India. Mumbai: IIPS. Available at: [insert link]. Accessed on [insert date].
  8. Say L, Chou D, Gemmill A, et al. Global causes of maternal death: a WHO systematic analysis. Lancet Glob Health. 2014;2(6):e323-e333.
  9. Robson MS. Classification of caesarean sections. Fetal Matern Med Rev. 2001;12(1):23-39.
  10. Prameela MD, Ghattargi CH. Analysis of cesarean section rates using Robson's Ten Group Classification System. Int J Reprod Contracept Obstet Gynecol. 2016;5(7):2132-2136.
Recommended Articles
Research Article
Utilizing Robson's Ten-Group Classification as a Predictor for Cesarean Section Rates
...
Published: 10/12/2023
Download PDF
Chat on WhatsApp
Copyright © EJCM Publisher. All Rights Reserved.