Skip to main content
BMC Pregnancy and Childbirth logoLink to BMC Pregnancy and Childbirth
. 2023 Jul 10;23:504. doi: 10.1186/s12884-023-05803-2

Achievement of appropriate cesarean rates using Robson’s 10-Group classification system in Brazilian private practice

Andrea Silveira de Queiroz Campos 1,, Daphne Rattner 2, Carmen Simone Grilo Diniz 1
PMCID: PMC10332037  PMID: 37430192

Abstract

Background

Increasing 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).

Methods

This 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).

Results

The 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.

Conclusions

Multidisciplinary 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.

Keywords: Cesarean section rates; Supplementary health; Health Care Models; Patient-centered care, evidence-based practice; Humanized childbirth; Robson classification.

Background

Cesarean section (CS) is a life-saving obstetric intervention for women and newborns in cases of complications during childbirth, but when performed without medical reasons, it may cause unnecessary short- and long-term complications. CS without clinical indications have increased globally, with exceptionally high levels in the private sector of large urban centers, motivating the World Health Organization (WHO) and government agencies to create strategies for its control [1, 2].

The proportion of births by CS per health service is a helpful indicator of obstetric care quality, and its audit is essential to understand trends and associated factors. Variations in the overall CS rate are challenging to interpret owing to heterogeneity in the infrastructure of health services, obstetric population, and protocols used [3, 4].

To facilitate the evaluation, comparison, and implementation of improvements, the WHO proposed the use of the Robson Classification, whose categories are fully inclusive and mutually exclusive, and which classifies women into homogeneous well-defined and clinically relevant groups based on obstetric variables at the time of admission to the labor ward [3, 4].

In 2019, Brazil ranked second globally with an overall CS rate of 57%, and the supplementary sector (health insurance sector) was responsible for financing 10% (287,166 of 2,849,146) of all births [5]. In this sector, the proportion of births by CS was 85% that year. According to the WHO, population based CS rates of 10–15% are associated with decreased maternal, neonatal, and infant mortality rates [4].

São Paulo is the Brazilian most populous city with a Human Development Index of 0.805 (very high according to the 2000 United Nations standards) and is in stage IV of the obstetric transition (low fertility and maternal mortality rate mainly due to indirect causes, being the strategy recommended for this stage to improve the qualification in care and the reduction of excess interventions in childbirth) and among the cities with the highest health insurance health coverage in Brazil (43%; 95% confidence interval [CI], 40–47%) [6, 7].

Appropriate interventions in childbirth, classified as clinical and nonclinical, may prevent unnecessary CS; however, clinical interventions can be harmful when overused [8, 9]. Clinical interventions guided by evidence-based protocols have a slight impact on CS rate because these protocols are not considered in countries with high CS rates such as Brazil. Examples include external cephalic version in cases of term breech presentation, vaginal breech birth in selected cases, vaginal birth after CS, neuraxial analgesia when indicated, labor induction in selected cases, and instrumental births for complications during the second stage [8]. On the other hand, nonclinical interventions tend to have a more significant ability to reduce CS rates because they influence the reduction of procedures without obstetric indications and include measures such as education about childbirth, continuous support in labor (provided by a companion of choice of the woman and by the presence of a doula), and care provided by midwives. Such interventions increase the rate of physiological births and lower the rates of complications, in addition to providing a positive experience of childbirth to women [810].

CS rates may vary according to facility complexity, epidemiological characteristics of the population treated, and care protocols used [2]. For this reason, the WHO C-model was developed to estimate the expected CS rate considering maternal age, obstetric characteristics used for Robson’s classification, and the incidence of comorbidities in the population, such as placenta previa, abruptio placentae, chronic hypertension, preeclampsia, kidney disease, HIV, and organic dysfunction with intensive care unit admission [2, 11].

Nordic countries (Denmark, Finland, Iceland, Norway, and Sweden) have maintained lower CS rates (approximately 17%) combined with good perinatal outcomes, and the region is considered a global reference for good obstetric practices. For this reason, Swedish data may be adopted as a gold standard. In these countries, childbirth care is less medicalized than in most high-income countries, low-risk births are managed by midwives, and obstetricians are called upon only when problems arise [2, 12].

This study presents CS rates by Robson’s group in a Brazilian population of women seeking a vaginal birth and a positive childbirth experience, demonstrating the possibility of obtaining CS rates closer to those calculated with the C-model tool by following evidence-based protocols and offering care and follow-up by a multidisciplinary team. In addition, it compares them with Sweden’s rates since, as mentioned, Nordic countries are considered a benchmark in perinatal care.

Methods

This study adopted a cross-sectional design to evaluate CS rates by Robson group in women followed at a private practice (PP) in the city of São Paulo who gave birth in nine private hospitals in 2004–2019.

The inclusion criteria were women who sought prenatal care and childbirth with the intention of a spontaneous vaginal birth using appropriate technology, with single or multiple pregnancies, who gave birth in a hospital to a newborn or stillborn with a birth weight ≥ 500 g and/or gestational age ≥ 22 weeks. Women with planned home births were excluded, and there was no case of a woman undergoing CS at maternal request.

All women were followed up from prenatal care until birth by a multidisciplinary team led by a single obstetrician who was present at all births. The births were assisted in nine private hospitals according to the coverage of each woman’s health insurance. During the visits, the clinical and nonclinical aspects of childbirth care (perinatal education) were discussed to promote a positive experience that respected the women’s autonomy.

The same obstetrician was present at all births (including low-risk ones), and women were preferably admitted during the active phase (upon arrival, 3 contractions in 10 min with cervical effacement > 50% and dilation > 3 cm with intact or broken membranes). When a midwife was part of the team, the first evaluation was performed at home, with the obstetrician being called after 6 cm of cervical dilation was reached or earlier in case of intercurrence or the need for analgesia.

In labor, women had continuous support, presence of a companion and/or a doula of their choice, use of nonpharmacological methods for pain relief, freedom of movement during labor, free food ingestion, freedom of choice of position for birth, no use of a peripheral venous catheter, oxytocin or routine amniotomy, and completion of birth registered in their medical record [13].

The primary outcomes assessed were the overall CS rate, size of the Robson groups, CS rate in each group, and contribution to the overall CS rate from each group. The secondary outcomes were the frequency of clinical and nonclinical interventions in childbirth and sociodemographic characteristics (analyzed by a binary logistic regression model), the rate of vaginal birth, pre-labor CS, intrapartum CS, and the expected CS rate for the population using the WHO C-model tool [14, 15].

The databases were constructed and manipulated using Microsoft Excel and R Studio software (version 1.2.1335. 2009–2019) [16].

The database [17] and supplementary materials were shared in the Figshare open access repository (available at 10.6084/m9.figshare.17100314 and https://10.6084/m9.figshare.17057846 respectively).

The study was approved by the Research Ethics Committee of the Faculdade de Saúde Pública da Universidade de São Paulo through the National Plataforma Brasil under Certificate of Presentation of Ethical Appreciation number 50733621.8.0000.5421 on September 16, 2021 based on the Helsinki declaration. The ethical committee deemed that individual informed consent was not required given the fact that the dataset was made public and its information allowed confidential handling so that the data were presented without identifying individuals.

Robson’s ten-group classification system

Robson’s 10 groups classify women according to six obstetric variables at hospital admission for birth: the number of fetuses (single or multiple); fetal presentation (cephalic, breech, and transverse); parity (nulliparous or multiparous); gestational age (preterm or term); presence (or absence) of previous CS; and onset of labor (spontaneous, induced, and prelabor CS) (Fig. 1).

Fig. 1.

Fig. 1

The Robson Classification with subdivisions

Source: Authors’ elaboration based on World Health Organization data (2017) [2]. CS, cesarean section

Results

Table 1 describes the sociodemographic and obstetric characteristics of the 1,481 women who came from support groups for pregnant women and Internet search tools, sought this PP care, and chose to continue prenatal care at this PP service until birth in 2004–201915.

Table 1.

Distribution of women (n = 1481), cesarean sections (CS) and CS rates according to maternal characteristics in a private practice. Brazil, 2004–2019

Women CS CS rate
No. % No. % % P-value 9
Age
< 20 1 0.1 0 0.0 0.0 0.01
20–34 946 63.9 123 54.9 13.0
> 34 528 35.7 98 43.8 18.6
Missing 6 0.4 3 1.3 50.0
Race 1
White 1333 90.0 194 86.6 14.6 0.60
Non-white 87 5.9 15 6.7 17.2
Missing 61 4.1 15 6.7 24.6
Marital status (stable union)
With 1306 88.2 192 85.7 14.7 0.39
Without 159 10.7 28 12.5 17.6
Missing 16 1.1 4 1.8 25.0
Higher Education
With 1344 90.7 201 89.7 15.0 0.20
Without 61 4.1 5 2.2 8.2
Missing 76 5.1 18 8.0 23.7
Obstetric characteristics (Robson Group)
1 and 2 (NTSV) 2 815 55.0 124 55.4 15.2 < 0.001
3 and 4 (MTSVnoCS) 3 314 21.2 2 0.9 0.6
5 (previous CS) 220 14.9 45 20.1 20.5
6, 7 and 9 (NCP) 4 41 2.8 29 12.9 70.7
8 (twins) 19 1.3 9 4.0 47.4
10 (premature) 72 4.9 15 6.7 20.8
High risk pregnancy 5 120 8.1 36 16.1 30.0 < 0.001
Childbirth onset
Spontaneous labor 6 1163 78.5 115 51.3 9.9 < 0.001
Induced 7 264 17.8 55 24.6 20.8
Pre-labor CS 54 3.6 54 24.1 100.0
Intrapartum care
Presence of Doula 928 62.7 132 58.9 14.2 0.24
Presence of Midwife 1090 73.6 133 59.4 12.2 < 0.001
Analgesia 8 623 42.1 170 75.9 27.3 < 0.001
Total 1481 100.0 224 100.0 15.1

Source: PP data

Notes:

1according to provider

2nulliparous term singleton vertex

3multiparous term singleton vertex with no CS

4noncephalic presentation

5placenta previa, abruptio placentae, chronic hypertension, preeclampsia, kidney disease, HIV and organ dysfunction with intensive care unit admission

6on arrival, 3 contractions per 10 min with cervical effacement > 50% and dilation > 3 cm with intact or ruptured membranes

7use of misoprostol, Foley catheter, or oxytocin in a woman who does not fulfill the criteria for spontaneous labor

8pre-labor CS not included

9using Chi-squared test or Fisher’s exact test (maternal age)

CS, cesarean section; NCP, noncephalic presentation; MTSVnoCS, multiparous women at term with a single fetus in cephalic presentation without CS; NTSV, nulliparous women at term, with a single fetus in cephalic presentation (vertex)

For a clearer presentation, Robson’s groups were grouped according to their common obstetric characteristics: groups 1 and 2 represent nulliparous women at term, with a single fetus in cephalic presentation (vertex) (NTSV); groups 3 and 4 represent multiparous women at term with a single fetus in cephalic presentation without CS (MTSVnoCS); and groups 6, 7, and 9 represent those with noncephalic presentation (NCP).

Most women were 20–34 years of age, White, and with a stable union and higher education. Considering the obstetric characteristics, the largest group was NTSV, followed by MTSVnoCS and group 5 (multiparous, term, single fetus in cephalic presentation with CS). Altogether, these three groups were responsible for 91.1% of the population and 76.4% of CS births.

A doula and/or midwife were present in most cases (73,6% and 62.7%, respectively). During labor and birth, the women were encouraged to move around and use nonpharmacological methods for pain relief and free choice of position. Labor analgesia was administered at the women’s request in 623 births (42.1%).

There was a statistically significant positive association between CS and maternal age, high-risk pregnancy, childbirth onset, use of analgesia, and, of course, Robson group. A negative association was found in the presence of midwives.

The distribution of vaginal births, pre-labor CS, and intrapartum CS according to obstetric characteristics is displayed in Table 2, which shows a very low proportion of pre-labor CS. All CS were performed for clinical reasons (data not shown), and the proportion of pre-labor CS was low (3.6%) in the whole population and in all but the NCP group, which displayed a 61% pre-labor CS rate. Approximately 80% of women with a history of CS achieved a vaginal birth.

Table 2.

Distribution of vaginal birth, pre-labor, and intrapartum CS of a private practice by Robson group, Brazil, 2004–2019

Women Vaginal birth Pre-labour CS Intrapartum CS
Robson Group N % N % N % N %
1 and 2 (NTSV) 1 815 55.0 691 84.8 10 1.2 114 14.0
3 and 4 (MTSVnoCS) 2 314 21.2 312 99.4 0 0.0 2 0.6
5 (previous CS) 220 14.9 175 79.5 9 4.1 36 16.4
6, 7 and 9 (NCP) 3 41 2.8 12 29.3 25 61.0 4 9.8
8 (twins) 19 1.3 10 52.6 2 10.5 7 36.8
10 (premature) 72 4.9 57 79.2 8 11.1 7 9.7
Total 1481 100.0 1257 84.9 54 3.6 170 11.5

Source: PP data [17]

Notes:

1nulliparous term singleton vertex

2multiparous term singleton vertex with no CS

3noncephalic presentation

CS, cesarean section; NCP, noncephalic presentation; MTSVnoCS, multiparous women at term with a single fetus in cephalic presentation without CS; NTSV, nulliparous women at term with a single fetus in cephalic presentation (vertex)

Table 3 presents a Robson report table for PP and Sweden (S) as proposed by the WHO publication [2, 18]. There are important differences in group sizes. In PP, approximately 55% of women were nulliparous term singleton vertexes (groups 1 and 2), while in Sweden, these were approximately 40%. The multiparous term singleton vertex with no CS women (Groups 3 and 4) was around 20% in PP and around 40% in the Swedish population. Women with a previous history of CS (Group 5) represented 15% of the PP and 10% of the Swedish population. For both populations, the proportion of women in Groups 6–10 was < 10%. As for the CS rates, given the low proportion of women in Groups 3 and 4 in PP, no comparison was possible. The CS rates were similar for Groups 2a and 2b. For group 5, the PP CS rate was less than half of the Swedish rate (20% vs. 55%), with a PP success rate for vaginal birth after CS of approximately 80% and a vaginal birth after 2 CS of 70%. The PP CS rates were lower than the Swedish rates for Groups 6–10. The group that contributed the most to the overall CS rate (both absolute and relative) was Group 1 for PP versus Group 5 for Sweden.

Table 3.

Robson report table for a private practice Brazil, 2004–2019 and Sweden, 2019

GroupI N CS / Total in group Group size (%)II Group CS rate (%) III Group contribution to overall CS rate (%)
AbsoluteIV RelativeV
PP S PP S PP S PP S PP S
1 78/ 647 2259/ 30,356 43.69 27.02 12.06 7.44 5.27 2.01 34.82 11.26
2 46/ 168 4053/ 12,075 11.35 10.75 27.38 33.57 3.11 3.61 20.54 20.20
 2a 36/ 158 2422/ 10,444 10.67 9.30 22.78 23.19 2.43 2.16 16.07 12.07
 2b 10/ 10 1631/ 1631 0.68 1.45 100.00 100.00 0.68 1.45 4.46 8.13
3 1/ 272 577/ 37,718 18.37 33.58 0.37 1.53 0.07 0.51 0.45 2.88
4 1/ 42 1799/ 10,760 2.84 9.58 2.38 16.72 0.07 1.60 0.45 8.97
 4a 1/ 42 399/ 9360 2.84 8.33 2.38 4.26 0.07 0.36 0.45 1.99
 4b 0/ 0 1400/ 1400 0,00 1.25 0,00 100.00 0,00 1.25 0,00 6.98
5 45/ 220 5680/ 10,375 14.85 9.24 20.45 54.75 3.04 5.06 20.09 28.31
 5.1 39/ 201 13.57 19.40 2.63 17.41
 5.2 6/ 19 1.28 31.58 0.41 2.68
6 25/ 33 1794/ 1940 2.23 1.73 75.76 92.47 1.69 1.60 11.16 8.94
7 4/ 8 1024/ 1176 0.54 1.05 50.00 87.07 0.27 0.91 1.79 5.10
8 9/ 19 908/ 1640 1.28 1.46 47.37 55.37 0.61 0.81 4.02 4.53
9 0/ 0 355/ 375 0,00 0.33 0,00 94.67 0,00 0.32 0,00 1.77
10 15/ 72 1616/ 4903 4.86 4.36 20.83 32.96 1.01 1.44 6.7 8.05
Total 224/ 1481 20,065/ 112,339 100.00 100.00 15.12 17.86 15.12 17.86 100.00 100.00

Not classified: PP 0 cases, SP 1021 cases, 0.91%

Source: PP [17] data and SFOG [15]

Notes

I. Robson Groups:

 1: Nulliparous women with a single cephalic pregnancy, ≥ 37 weeks gestation in spontaneous labor;

 2: Nulliparous women with a single cephalic pregnancy, ≥ 37 weeks gestation who had labor induced (2a) or were delivered by CS before labor (2b);

 3: Multiparous women without a previous CS, with a single cephalic pregnancy, ≥ 37 weeks gestation in spontaneous labor;

 4: Multiparous women without a previous CS, with a single cephalic pregnancy, ≥ 37 weeks gestation who had labor induced (4a) or were delivered by CS before labor (4b);

 5: All multiparous women with at least one previous CS, with a single cephalic pregnancy, ≥ 37 weeks gestation. 5.1: With one previous CS; 5.2: With two or more previous CSs;

 6: All nulliparous women with a single breech pregnancy;

 7: All multiparous women with a single breech pregnancy including women with previous CS(s);

 8: All women with multiple pregnancies including women with previous CS(s);

 9: All women with a single pregnancy with a transverse or oblique lie, including women with previous CS(s);

 10: All women with a single cephalic pregnancy < 37 weeks gestation, including women with previous CS(s);

II. % = n of women in the group / total N women delivered in the setting x 100;

III. % = n of CS in the group / total N of women in the group x 100;

IV. % = n of CS in the group / total N of women delivered in the setting x 100;

V. % = n of CS in the group / total N of CS in the setting x 100;

… Data not available

CS, cesarean section; PP, private practice; S, Sweden

Figure 2 displays the size and CS rates of the Robson groups by common characteristics for PP and Sweden. Group size reflects the proportion of women in each group, the darker the color, the higher the CS rate.

Fig. 2.

Fig. 2

Robson group sizes and CS rates by common characteristics, private practice, Brazil, 2004–2019 and Sweden, 2019

Source: PP [17] data and SFOG [15]

Notes:

1 and 2: nulliparous, term, singleton, vertex

3 and 4: multiparous, term, singleton, vertex, with no CS

5 previous CS

6, 7, and 9: noncephalic presentation

8: twins

10: preterm

CS, cesarean section; PP, private practice; S, Sweden

The submission of the PP database to the WHO c-model tool generated an expected CS rate for this population of 19.8% (95%CI 14.8 − 24.7%), with no statistically significant difference (considering the 95% CI) to the observed rate of 15.1% (CI 13.3 − 17.1%) [14].

Discussion

The CS rate found in the PP was similar to that estimated by the C-model tool as well as to a database with low CS rates, Sweden [13], which displays excellent perinatal outcomes. For countries with high CS rates, such as Brazil, differences between rates observed and estimated by the C-model are usually higher [12, 1921]. The groups that contributed the most to a lower rate in the PP were Groups 2 (particularly Group 2a) and 5, a result that also differs from the rates found in the WHO Global Survey of Maternal and Perinatal Health study [22].

Women of the PP population were mostly nulliparous. There was a low fertility rate since the PP presented a proportion of NTSV greater than that expected by the WHO. This group had low rates of induction of birth and pre-labor CS, reinforcing that such interventions were performed only for medical reasons [2, 23]. They were also able to pay for private services, and most (90.7%) had higher education, demonstrating that they were a population with a higher social level unlike Brazilian women in general, suggesting that social inequality in Brazil even affects obstetric care [24]. The proportion of preterm live births was similar to that of the Swedish population (approximately 5%).

Group 5 accounted for 14.9% of the population, and its size was related to the general CS rate. The larger group 5 size reflects a high population based CS rate, as it is represented by women nulliparous in their previous pregnancy who underwent CS. In places with low caesarean rates, it usually contributes to < 10% of women [2].

The CS rates of this PP were lower than those of other Brazilian studies published for all Robson groups considering that public and private sectors, including teaching hospitals, that should adopt the evidence-based protocols of the Brazilian Ministry of Health [2528]. Studies that evaluated the quality of obstetric care practiced in the country evinced an excessively interventionist practice, such as the absence of evidence-based protocol use, with intervention rates even higher in high-income locations, no improvement in maternity service quality, and increases in risk of iatrogenic harm and cost [2932].

According to the WHO, half of all CS occur in Group 5; the PP Group 5 displayed a CS rate of 20.5%, representing 20% of all CS performed. For Group 5, CS rates of 50–60% are expected [2, 23]. This rate contrasts even more when compared to a study in Brazilian teaching hospitals in 202126. Of cases eligible for vaginal birth after CS, 95.3% had an elective CS and 39.2%, an intrapartum CS, suggesting that nonclinical factors lead to repeat CS in these services [26].

The significantly lower rates achieved in the PP may be due to the use of evidence-based protocols; women’s desire for a vaginal birth; professionals enabling all measures to facilitate it; continuous support for women during childbirth; for women in Group 5, the willingness of both the woman and the professionals to allow a trial of labor; absence of CS by maternal request because of self-selection; and the absence of obstetric indication for the previous CS typical of populations with high CS rates [33].

The collaborative and multidisciplinary model involving obstetricians and midwives is effective and successful for improving obstetric care (including high-risk cases), reducing adverse perinatal events, and increasing safety and women’s satisfaction with their birth experience; it encourages a patient- and family-centered practice and is tuned to the WHO recommendations for a positive childbirth experience. Studies that compared the prevalence of CS and neonatal outcomes in two models of childbirth care, including a study in a Brazilian private hospital, showed a lower CS rate with the model of care offered by a multidisciplinary team and no difference in neonatal outcomes [32, 3437].

Another possible explanation for the higher CS rates in other private practices relates to the fact that many Brazilian gynecologists and obstetricians perform defensive CS, usually due to fear of litigation. Vaginal birth can be perceived as unpredictable and with a higher risk of litigation by health care professionals; therefore, they opt for defensive CS [38]. Women’s desire for a vaginal birth and their access to quality information reinforce their autonomy for informed choices and thus may contribute to a better childbirth experience and decreased risk of litigation in cases of complications.

The strengths of this study are that all cases were assisted by the same team that was concerned about meticulous registration of procedures, and the quality of the data is supported by the fact that no woman was omitted from the Robson’s group classification.

Potential limitations include: its population was composed primarily of women seeking a vaginal birth, while those at higher risk for CS or with a contraindication for a vaginal birth might have been excluded; all women were from the private sector which, in this town, represents less than half of the population; all patients were cared for by a team with the same leader and, although the data were collected throughout 15 years, changes in the team and procedures were not considered, which could be a major confounder. Maternal and neonatal outcomes were not the object of this study. Another limiting factor is the low coverage of midwives given the additional fee charged by them, which might have discouraged women who had their follow-up during antenatal care to hire them for their birth. The low coverage of such midwifery services is a barrier to the implementation of collaborative care in the US [39].

The results of this study demonstrate the real possibility of achieving CS rates according to those displayed in WHO publications by offering multidisciplinary childbirth care that follows evidence-based protocols and proposes to provide a positive childbirth experience as recommended by the WHO. Health policies should promote health education for the population and health professionals that focus on disseminating and implementing such practices in the public and private sectors.

Conclusion

Multidisciplinary care following evidence-based protocols and a high motivation of both women and professionals of childbirth care for a vaginal birth may lead to a significant reduction in CS rates even in contexts such as Brazil, where there is high medicalization of obstetric care and an excess CS rate.

Such professional and women’s motivation may be improved by government educational campaigns that would promote childbirth care towards a positive childbirth experience as recommended by the WHO as well as by the implementation of the collaborative care model with midwives in the public and private sectors.

Acknowledgements

The authors wish to thank M. A. B. Dias, M. L. S. Takemoto and P. M. M. Bermudi for their assistance in writing this paper and L. P. Fascina, manager of the maternity and pediatric units of Hospital Israelita Albert Einstein.

List of Abbreviations

CI

Confidence interval

CS

Cesarean section

MTSVnoCS

Multiparous women at term with a single fetus in cephalic presentation without CS

NCV

Noncephalic presentation

NTSV

Nulliparous women at term with a single fetus in cephalic presentation (vertex)

PP

Private practice

WHO

World Health Organization

Authors’ contributions

ASQC, CSGD and DR were involved in the conception and study design, analysis and interpretation of data and drafting of the article. ASQC was involved with data acquisition, and DR was involved with critical revision of the article. All authors read and approved the final manuscript.

Funding

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.

Data Availability

The datasets generated and/or analysed during the current study are available in the Figshare repository at 10.6084/m9.figshare.17100314 and 10.6084/m9.figshare.17057846 (R script).

Declarations

Ethics approval and consent to participate

The study received ethical approval from the Research Ethics Committee of the Faculdade de Saúde Pública da Universidade de São Paulo through national Plataforma Brasil under the Certificate of Presentation of Ethical Appreciation (CAAE) number 50733621.8.0000.5421 on September 16, 2021, based on the Helsinki declaration. The ethical committee approved that individual informed consent was not required given the fact that the dataset was made public and its information allowed confidential handling, so that the data was presented without identifying individuals.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Andrea Silveira de Queiroz Campos, Email: asqcampos@usp.br.

Daphne Rattner, Email: daphne.rattner@gmail.com.

Carmen Simone Grilo Diniz, Email: sidiniz@usp.br.

References

  • 1.Betrán AP, Ye J, Moller A-B, Zhang J, Gülmezoglu AM, Torloni MR. The increasing Trend in caesarean section rates: Global, Regional and National estimates: 1990–2014. PLoS ONE. 2016;11. 10.1371/journal.pone.0148343. [DOI] [PMC free article] [PubMed]
  • 2.WHO - World Health Organization. Robson classification: implementation manual. 2017 https://apps.who.int/iris/handle/10665/259512 (accessed Aug 29, 2021).
  • 3.Robson MS. Classification of caesarean sections. Fetal Matern Med Rev. 2001;12:23–39. doi: 10.1017/S0965539501000122. [DOI] [Google Scholar]
  • 4.WHO - World Health Organization, RHR - Department of Reproductive Health and Research. WHO Statement on Caesarean Section Rates. Geneva, 2015 https://apps.who.int/iris/bitstream/handle/10665/161442/WHO_RHR_15.02_eng.pdf;sequence=1 (accessed Nov 18, 2021).
  • 5.DASNT - Departamento de Análise em Saúde e Vigilância das Doenças Não Transmissíveis. Painel de Monitoramento de Nascidos Vivos. 2021. http://svs.aids.gov.br/dantps/centrais-de-conteudos/paineis-de-monitoramento/natalidade/nascidos-vivos/.
  • 6.CEInfo - Coordenação de Epidemiologia e Informação. Boletim ISA Capital 2015, no 19, 2019: Saúde Suplementar na cidade de São Paulo. 2019: 38.
  • 7.Souza J, Tunçalp Ö, Vogel J, et al. Obstetric transition: the pathway towards ending preventable maternal deaths. BJOG. 2014;121:1–4. doi: 10.1111/1471-0528.12735. [DOI] [PubMed] [Google Scholar]
  • 8.Miller S, Abalos E, Chamillard M, et al. Beyond too little, too late and too much, too soon: a pathway towards evidence-based, respectful maternity care worldwide. Lancet. 2016;388:2176–92. doi: 10.1016/S0140-6736(16)31472-6. [DOI] [PubMed] [Google Scholar]
  • 9.Betrán AP, Temmerman M, Kingdon C, et al. Interventions to reduce unnecessary caesarean sections in healthy women and babies. Lancet. 2018;392. 10.1016/S0140-6736(18)31927-5. [DOI] [PubMed]
  • 10.Dias MAB, Domingues RMSMR, Schilithz AOC, et al. Factors associated with cesarean delivery during labour in primiparous women assisted in the brazilian Public Health System: data from a National Survey. Reprod Health. 2016;13. 10.1186/s12978-016-0231-z. [DOI] [PMC free article] [PubMed]
  • 11.Souza J, Bétran A, Dumont A, et al. A global reference for caesarean section rates (C-Model): a multicountry cross‐sectional study. BJOG. 2016;123:427–36. doi: 10.1111/1471-0528.13509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Pyykönen A, Gissler M, Løkkegaard E, et al. Cesarean section trends in the Nordic Countries – a comparative analysis with the Robson classification. Acta Obstet Gynecol Scand. 2017;96:607–16. doi: 10.1111/aogs.13108. [DOI] [PubMed] [Google Scholar]
  • 13.Bohren MA, Hofmeyr GJ, Sakala C, Fukuzawa RK, Cuthbert A. Continuous support for women during childbirth. Cochrane Database Syst Rev. 2017 doi: 10.1002/14651858.CD003766.pub6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.WHO - World Health Organization. Tool to calculate caesarean section reference rates at health facilities is launched: the C-Model. Maternal and perinatal health. 2015. https://www.who.int/news/item/29-11-2018-tool-to-calculate-caesarean-section-reference-rates-at-health-facilities-is-launched-the-c-model#:~:text=About%20the%20 C-Model%20A%20new%20mathematical%20model%20has,of%20the%20population%20that%20they%20serve%20%28obstetric%20case-mix%29. (accessed Nov 18, 2021).
  • 15.Souza J, Betran A, Dumont A, et al. A global reference for caesarean section rates (C-Model): a multicountry cross‐sectional study. BJOG. 2016;123:427–36. doi: 10.1111/1471-0528.13509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.R CoreTeam. R: A language and environment for statistical computing. 2021. https://www.r-project.org/.
  • 17.Campos ASQ. Dataset of Appropriate cesarean rates using Robson’s Ten-Group Classification System in a Brazilian private practice. Figshare 2021; Dataset. 10.6084/m9.figshare.17100314 (accessed Mar 11, 2023). [DOI] [PMC free article] [PubMed]
  • 18.SFOG - Svensk Förening För Obstetrik Och Gynekologi, Robson - ARG, Rapport. 2019. 2019. https://www.sfog.se/start/ar-grupper/robson-arg/rapporter/%C3%A5r-2019/ (accessed Aug 31, 2021).
  • 19.Chaudhary P, Dar Iang M, Mahendra S, Devkota M, Poudel P, Rath AD. Using robson and C-model to understand variability in caesarean section rates in nepal hospitals. Int J Gynaecol Obstet. 2018;143:298. [Google Scholar]
  • 20.Ray A, Thomas BM, Gopi A. Applying the WHO C-Model in a tertiary care hospital to optimise C-Section rates. J Obstet Gynaecol Res. 2017;43:36–7. [Google Scholar]
  • 21.Abdel-Aleem H, Darwish A, Abdelaleem AAA, Mansur M. Usefulness of the WHO C-Model to optimize the cesarean delivery rate in a tertiary hospital setting. Int J Gynaecol Obstet. 2017;137:40–4. doi: 10.1002/ijgo.12092. [DOI] [PubMed] [Google Scholar]
  • 22.Vogel JP, Betrán AP, Vindevoghel N, et al. Use of the Robson classification to assess caesarean section trends in 21 countries: a secondary analysis of two WHO multicountry surveys. Lancet Glob Health. 2015;3:e260–70. doi: 10.1016/S2214-109X(15)70094-X. [DOI] [PubMed] [Google Scholar]
  • 23.Robson M, Hartigan L, Murphy M. Methods of achieving and maintaining an appropriate caesarean section rate. Best Pract Res Clin Obstet Gynaecol. 2013;27:297–308. doi: 10.1016/j.bpobgyn.2012.09.004. [DOI] [PubMed] [Google Scholar]
  • 24.Rattner DM, de Moura EC, de Erly C, Moura EC. de. Nascimentos no Brasil: associação do tipo de parto com variáveis temporais e sociodemográficas. Rev Bras Saude Mater Infant [online] 2016; 16: 39–47.
  • 25.Nakamura-Pereira M, Esteves-Pereira AP, Gama SGN, Leal M. Elective repeat cesarean delivery in women eligible for trial of labour in Brazil. Int J Gynaecol Obstet. 2018;143:351–9. doi: 10.1002/ijgo.12660. [DOI] [PubMed] [Google Scholar]
  • 26.e Mendes YMMB, Rattner D. Cesarean sections in Brazil’s teaching hospitals: an analysis using Robson classification. Rev Panam Salud Publica. 2021;45:1. doi: 10.26633/RPSP.2021.16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Ministério da Saúde (BR) CONITEC - Comissão Nacional de Incorporação de Tecnologias, Secretaria de Atenção à Saúde. Diretrizes de Atenção à Gestante: a operação cesariana. Brasília: CONITEC - Comissão Nacional de Incorporação de Tecnologias no SUS; 2015. Secretaria de Ciência T e IE, Departamento de Ações Programáticas Estratégicas, Departamento de Gestão e Incorporação de Tecnologias em Saúde. [Google Scholar]
  • 28.Ministério da Saúde (BR)., Secretaria de Ciência T e IE, Departamento de Ações Programáticas Estratégicas, Departamento de Gestão e Incorporação de Tecnologias em Saúde, CONITEC - Comissão Nacional de Incorporação de Tecnologias, Secretaria de Atenção à Saúde. Diretrizes Nacionais de Assistência ao Parto Normal. Brasília, 2017 https://bvsms.saude.gov.br/bvs/publicacoes/diretrizes_nacionais_assistencia_parto_normal.pdf (accessed Sept 20, 2021).
  • 29.Rudey EL, do Leal M, Rego C. Cesarean section rates in Brazil. Medicine. 2020;99:e19880. doi: 10.1097/MD.0000000000019880. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Rudey ELEL, do Leal MDCM, Rego C. Cesarean section rates in Brazil: Trend analysis using the Robson classification system. Medicine. 2020;99:e19880. doi: 10.1097/MD.0000000000019880. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.TJP RK, MO L. Cesarean-section rates in Brazil from 2014 to 2016: cross-sectional analysis using the Robson classification. Rev Bras Ginecol Obstet. 2020;42:522–8. doi: 10.1055/s-0040-1712134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Torres JA, Domingues RMSM, Sandall J, et al. Cesariana e resultados neonatais em hospitais privados no Brasil: estudo comparativo de dois diferentes modelos de atenção perinatal. Cad Saude Publica. 2014;30:220–31. doi: 10.1590/0102-311X00129813. [DOI] [Google Scholar]
  • 33.Paixao ES, Bottomley C, Smeeth L, et al. Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017. BMC Pregnancy Childbirth. 2021;21:589. doi: 10.1186/s12884-021-04060-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Chang Pecci C, Mottl-Santiago J, Culpepper L, Heffner L, McMahan T, Lee-Parritz A. The birth of a collaborative model. Obstet Gynecol Clin North Am. 2012;39:323–34. doi: 10.1016/j.ogc.2012.05.001. [DOI] [PubMed] [Google Scholar]
  • 35.Faucher MA, Collins-Fulea C, Breedlove G. Collaboration in practice: implementing Team‐Based Practice: a midwifery perspective. J Midwifery Womens Health. 2016;61:408–10. doi: 10.1111/jmwh.12504. [DOI] [PubMed] [Google Scholar]
  • 36.OMS - Organização . Mundial da Saúde. WHO recommendations on intrapartum care for a positive childbirth experience. Geneva: World Health Organization; 2018. [PubMed] [Google Scholar]
  • 37.Marshall N, Egan S, Flores C, Kirsch A, Mankoff R, Resnick M. Working toward a common goal. Obstet Gynecol Clin North Am. 2012;39:373–82. doi: 10.1016/j.ogc.2012.05.006. [DOI] [PubMed] [Google Scholar]
  • 38.Rudey EL, do Leal M, Rego C. Defensive medicine and cesarean sections in Brazil. Medicine. 2021;100:e24176. doi: 10.1097/MD.0000000000024176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.King TL, Laros RK, Parer JT. Interprofessional collaborative practice in Obstetrics and Midwifery. Obstet Gynecol Clin North Am. 2012;39:411–22. doi: 10.1016/j.ogc.2012.05.009. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated and/or analysed during the current study are available in the Figshare repository at 10.6084/m9.figshare.17100314 and 10.6084/m9.figshare.17057846 (R script).


Articles from BMC Pregnancy and Childbirth are provided here courtesy of BMC

RESOURCES