Literature DB >> 33643399

Cesarean sections in Brazil's teaching hospitals: an analysis using Robson Classification.

Yluska Myrna Meneses Brandão E Mendes1, Daphne Rattner1.   

Abstract

OBJECTIVE: To determine the distribution of cesarean sections performed in teaching hospitals participating in the Project for Improvement and Innovation in the Care and Teaching of Obstetrics and Neonatology (Apice ON) using the Robson Classification.
METHODS: Cross-sectional descriptive study on cesarean sections performed at Apice ON hospitals according to the Robson Classification, using secondary data from the 2017 Live Births Information System on the year prior to project implementation, hence a baseline study. Hospitals are described according to their geographic distribution and cesarean section rates, using absolute and relative frequencies.
RESULTS: The proportions of newborns by Robson groups were similar to those proposed by the World Health Organization, except for Group 5 (with previous cesarean section) and Group 10 (preterm), with regional differences. The teaching hospitals' average cesarean section rates ranged from 24.8% to 75.1%, exceeding by far the recommended values, even in Robson groups considered low risk for cesarean section (Groups 1 to 4).
CONCLUSIONS: Brazilian teaching hospitals displayed cesarean section rates higher than those recommended by the World Health Organization for all groups; a worrisome fact, as by teaching they induce attitudes in future professional practices. These results highlight the importance of a reliable information system. Monitoring and evaluation of cesarean sections using the Robson Classification can be an important tool to guide management and propose actions to reduce rates. Countries with high cesarean section rates might explore this hypothesis in their teaching hospitals in order to define policies for the reduction of their rates.

Entities:  

Keywords:  Brazil; Cesarean section; hospitals, teaching; information systems

Year:  2021        PMID: 33643399      PMCID: PMC7905749          DOI: 10.26633/RPSP.2021.16

Source DB:  PubMed          Journal:  Rev Panam Salud Publica        ISSN: 1020-4989


There is a growing concern worldwide about the increase in the rates of cesarean section (CS), considering a recommendation from the World Health Organization (WHO) that population CS rates should not exceed 15% of all births (1). This problem is more relevant for Latin America, as various countries displayed remarkably high CS rates by 2018: Dominican Republic (58%); Brazil (56%); Venezuela (52%); Chile (50%); and Colombia, Ecuador, and Paraguay (46% each) (2). When well indicated, CS are generally associated with benefits for mothers and babies (3, 4). However, elective CS might affect maternal and neonatal morbidity and mortality, in the short and the long term. Brazil has one of the highest CS rates in the world (2) and hence a significant proportion of potentially unnecessary procedures (5). The rate peaked at 57% in 2014, decreased to 55.5% in 2015 and remained at 55.7% in 2017 (6), despite government efforts to reduce it. CS rates are higher in the southern, southeastern, and midwestern states; lately, the northern and northeastern states’ rates have shown accelerated growth, reducing regional differences. Some socioeconomic factors, such as women’s education, age, and having health insurance, are associated with higher rates, together with obstetric and fetal conditions (7). Another important factor is the interventionist model of care. In 2011, the Brazilian Ministry of Health launched the program Stork Network (in Portuguese, Rede Cegonha), designed to change the model of care and improve the quality of perinatal care by providing the necessary structure and proposing changes in the processes of care. Despite this program, CS rates continued to rise: in 2011, the national rate was 53.7% and by 2017 it had reached 55.7%, as mentioned. Acknowledging the importance of teaching hospitals (TH) in reproducing inadequate models of care, the Ministry of Health, in a joint effort with the Ministry of Education, launched the Project for Improvement and Innovation in Care and Teaching of Obstetrics and Neonatology (Apice ON) in August 2017. It aims to qualify clinical training, care management in relation to pregnancy, childbirth, and miscarriage, as well as TH management. This project intends to change the current model of care into one founded on evidence-based practices, humanization, safety, and guarantee of rights (8), involving 97 TH in all states. It emphasizes the important role of these hospitals in forming the attitudes and practices of future professionals, a strategic measure to enable future change of practices. The diversity of scenarios requires advanced forms of monitoring and evaluation in order to allow both the government and society to identify unnecessary CS at different contextual levels. In 2001, Robson (9) proposed a classification based on the risks for the surgical procedure, which enables monitoring as well as identifying unnecessary occurrences, both at the population and the service levels, but in a standardized, reliable, and consistent way, aimed toward action. A 2011 systematic review recommended its adoption (10), which was supported by WHO in 2015 (1). The Robson Classification allows for the analysis of service practices and the construction of goals and interventions to ensure safe obstetric care, with acceptable CS rates (9–11), and was even used in a WHO study focusing on maternal and perinatal health in Latin America (12). This standardized classification used obstetric characteristics to build 10 epidemiological risk groups for the surgical procedure, allowing a rational analysis of CS rates, as well as comparing, evaluating differences, and proposing actions. One of its greatest pluses is the simplicity of its implementation in obstetric care services (13). For this reason, it was appointed by WHO as the most suitable system for local, national, and international use (1). Since 2011, the Brazilian Live Births Information System (Sinasc) incorporated the variables necessary to stratify births into the 10 Robson Classification groups (14). In 2017, only 5% of births could not be classified (6). This study aimed to determine the distribution of CS performed in TH participating in the Apice ON project, according to the Robson Classification, using the live birth data available in Sinasc, exploring its potential for analysis and, in parallel, through this example, to highlight the importance of a reliable national information system that allows the use of the Robson Classification for different levels of analysis.

MATERIALS AND METHODS

This is a descriptive cross-sectional study applying the Robson Classification to CS performed at Apice ON project hospitals, using official data from the Sinasc database, utilizing the 2017 data for all TH included in the project (n = 97) prior to its implementation, hence as a baseline study. To be included in the Apice ON project, TH had to be certified by the Federal Government and have assisted over 1 000 deliveries in 2015, according to the Hospital Information System (SIH/SUS) (8). The Tabwin application was used for data extraction and tabulation, and Microsoft Excel version 2016 was used for the analysis. Results are presented in tables, using absolute and relative frequencies, analyzing data by state and region. For administrative purposes, due to its large number of hospitals, São Paulo state was classified by the project as Southeast II, and the other southeastern states remained as Southeast I, according to information available at the project website (https://portaldeboaspraticas.iff.fiocruz.br/apice/o-projeto/hospitais-que-integram-o-projeto-apice-on/). The variables included were 1) Characteristics of pregnancy: type of delivery (vaginal; CS); and 2) Robson group ranking.

Robson group ranking

The Robson Classification is based on the following obstetric parameters: parity; previous CS; gestational age; labor induction; whether the CS occurred before labor; fetal presentation; and number of fetuses (9). Group 1: Nulliparous, single cephalic, ≥37 weeks, in spontaneous labor; Group 2: Nulliparous, single cephalic, ≥37 weeks, induced or CS before labor; Group 3: Multiparous (excluding previous CS), single cephalic, ≥37 weeks, in spontaneous labor; Group 4: Multiparous (excluding previous CS), single cephalic, ≥37 weeks, induced or CS before labor; Group 5: Previous CS, single cephalic, ≥37 weeks; Group 6: All nulliparous breeches; Group 7: All multiparous breeches (including previous CS); Group 8: All multiple pregnancies (including previous CS); Group 9: All abnormal lies (including previous CS); Group 10: All single cephalic, <37 weeks (including previous CS). As this research used secondary data in the public domain, ethical approval was not required, according to Resolution No. 510/2016 of the National Health Council.

RESULTS

Table 1 shows that 28.7% of all Brazilian hospitals are in the Southeast and the region has 38% of the 97 TH. Given this concentration of hospitals, São Paulo state was classified as Southeast II, with 21 (21.6%) hospitals. The second most populous region is the Northeast: 32.3% of all maternity hospitals are located there, while it has only 17.5% of the TH, showing the inequal distribution. TH CS rates were high in all regions, especially the Midwest (53.1%) and Northeast (53.3%), and in particular in the states of Goiás (56.6%) and Piauí (62.4%). Lower averages were found in Southeast I (42.1%) and South (45.2%). The overall range was 24.8% to 75.1%. TH displayed lower than regional CS rates, except in the Northeast. Only five (5.2%) TH had CS rates under 30% (data not shown) and rates were not related to number of births.
TABLE 1.

Distribution of hospitals and Apice ON project hospitals, comparing average cesarean section rates in Brazil’s hospitals and Apice ON project hospitals; Brazil, regions, and states, 2017

Region/state

Brazil hospitals

(%)

Average CS rate

(%)

Apice ON hospitals

N (%)

Average CS rate

(%)

CS rate range min–max

(%)

Midwest

574 (11.5)

58.6

12 (12.4)

53.1

41.0–75.1

  Distrito Federal

25 (0.5)

51.4

4 (4.1)

49.6

43.4–54.0

  Goiás

291 (5.8)

71.2

3 (3.1)

56.6

41.0–75.1

  Mato Grosso do Sul

108 (2.2)

61.6

3 (3.1)

54.2

51.2–56.1

  Mato Grosso

150 (3.0)

61.5

2 (2.1)

53.4

49.7–57.0

Northeast

1 619 (32.3)

50.0

17 (17.5)

53.3

31.0–62.4

  Alagoas

68 (1.4)

54.4

1 (1.0)

57.8

57.8–57.8

  Bahia

487 (9.7)

42.7

2 (2.1)

51.6

49.4–53.8

  Ceará

220 (4.4)

56.8

3 (3.1)

61.4

59.9–62.3

  Maranhão

248 (4.9)

45.9

1 (1.0)

54.3

54.3–54.3

  Paraíba

88 (1.8)

57.0

2 (2.1)

51.4

48.3–54.5

  Pernambuco

249 (5.0)

49.4

4 (4.1)

50.1

43.7–56.5

  Piauí

114 (2.3)

54.7

1 (1.0)

62.4

62.4–62.4

  Rio Grande do Norte

96 (1.9)

61.4

2 (2.1)

54.6

46.7–62.4

  Sergipe

49 (1.0)

43.8

1 (1.0)

31.0

31.0–31.0

North

592 (11.8)

46.4

13 (13.4)

44.7

27.5–61.6

  Acre

23 (0.5)

41.1

2 (2.1)

49.8

49.1–50.5

  Amazonas

101 (2.0)

37.8

4 (4.1)

44.8

41.6–47.2

  Amapá

24 (0.5)

34.1

1 (1.0)

34.2

34.2–34.2

  Pará

278 (5.5)

48.9

2 (2.1)

46.4

42.5–50.2

  Rondônia

76 (1.5)

66.3

2 (2.1)

44.5

27.5–61.6

  Roraima

22 (0.4)

36.8

1 (1.0)

36.8

36.8–36.8

  Tocantins

68 (1.4)

54.6

1 (1.0)

49.9

49.9–49.9

Southeast I

756 (15.1)

58.6[*]

16 (16.5)

42.1

25.6–67.2

  Espírito Santo

72 (1.4)

61.4

2 (2.1)

59.0

50.9–67.2

  Minas Gerais

489 (9.8)

57.5

11 (11.3)

37.1

25.6–61.2

  Rio de Janeiro

195 (3.9)

57.7

3 (3.1)

48.8

36.8–58.4

Southeast II

683 (13.6)

 

21 (21.6)

48.2

31.8–70.0

  São Paulo

683 (13.6)

59.2

21 (21.6)

48.2

31.8–70.0

South

788 (15.7)

61.3

18 (18.6)

45.2

24.8–66.5

  Paraná

357 (7.1)

62.0

6 (6.2)

47.7

24.8–66.5

  Rio Grande do Sul

259 (5.2)

62.8

8 (8.2)

44.9

33.8–55.1

  Santa Catarina

172 (3.4)

58.0

4 (4.1)

43.0

36.0–60.2

Total

5 012 (100.0)

55.6

97 (100.0)

(…)

24.8–75.1

Table prepared by authors based on research results. Data from MS/SVS/DANTPS/CGIAE/Sinasc.

CS, cesarian section.

This rate is for the Southeast, both Southeast I and II.

Table 2 shows that 59.5% of births were classified in Robson Groups 1 to 4, with lower risk for surgical procedure, while 19.2% were in Group 5; hence, 78.7% of all births were in Groups 1 to 5. There were differences between the North region and the others, with higher proportions in Groups 1 (21.0%) and 3 (25.9%) and smaller proportions in Groups 2 (6.7%), 4 (5.7%), and 8 (2.7%). On the other hand, Southeast II presented the lowest proportion in Group 1 (13.6%) and the highest in Groups 2 (14.7%) and 4 (12.2%). The Midwest (21.6%) and São Paulo (21.5%) regions presented the highest proportions in Group 5, previous CS. The pelvic and abnormal presentations, Groups 6, 7, and 9, corresponded to only 4.5% of births, being higher in the North (6.5%). Group 8, multiple pregnancies, accounted for 3.5%, being higher in the Northeast (4.3%) and Midwest (4.2%). Finally, Group 10, preterm births, represented 13.3%, with higher proportions in the Northeast (16.9%) and Midwest (14.1%). The proportion of unclassified births (2.6%) was higher in the Midwest and North (both with 5.5%). Comparing with the proportions suggested by WHO (15), smaller proportions were observed for Groups 1 and 2 of nulliparae; on the other hand, the proportions were higher than the parameters suggested for Groups 5, 8, and 10.
TABLE 2.

Distribution of the proportions of live births by Robson Classification group in Apice ON project hospitals, and adopting WHO as reference; Brazil and regions, 2017

Robson group

Midwest

% (N)

Northeast

% (N)

North

% (N)

Southeast I

% (N)

Southeast II

% (N)

South

% (N)

Brazil

% (N)

WHO*

%

G1

18.3 (5 069)

16.4 (11 196)

21.0 (14 769)

18.5 (10 435)

13.6 (7 389)

15.7 (8 033)

17.3 (56 891)

}

35–42

G2

9.3 (2 571)

12.6 (8 578)

6.7 (4 728)

13.7 (7 732)

14.7 (8 003)

14.4 (7 384)

11.9 (38 996)

G3

21.1 (5 859)

16.0 (10 895)

25.9 (18 177)

21.4 (12 107)

19.1 (10 361)

19.0 (9 729)

20.5 (67 128)

}

Around 30

G4

7.4 (2 044)

11.2 (7 632)

5.7 (4 012)

11.4 (6 420)

12.2 (6 604)

10.3 (5 295)

9.8 (32 007)

G5

21.6 (6 001)

18.1 (12 355)

17.7 (12 420)

18.1 (10 209)

21.5 (11 688)

20.1 (10 299)

19.2 (62 972)

 

Under 10

G6

1.5 (409)

1.8 (1 223)

2.0 (1 417)

1.2 (699)

1.3 (727)

1.8 (919)

1.6 (5 394)

}

3–4

G7

2.3 (640)

2.6 (1 760)

4.4 (3 078)

1.8 (1 014)

2.1 (1 146)

2.5 (1 277)

2.7 (8 915)

G8

4.2 (1 172)

4.3 (2 915)

2.7 (1 896)

3.1 (1 757)

3.8 (2 071)

3.4 (1 764)

3.5 (11 575)

 

1.5–2

G9

0.3 (74)

0.3 (195)

0.1 (97)

0.2 (98)

0.2 (134)

0.4 (207)

0.2 (805)

 

(…)

G10

14.1 (3 917)

16.9 (11 551)

13.6 (9 582)

10.7 (6 038)

11.4 (6 202)

12.2 (6 260)

13.3 (43 550)

 

Under 5

Unclassified

5.5 (1 630)

2.4 (1 711)

5.5 (4 063)

0.9 (490)

0.2 (91)

1.2 (641)

2.6 (8 641)

 

(…)

Total

100.0 (29 386)

100.0 (70 011)

100.0 (74 239)

100.0 (56 999)

100.0 (54 416)

100.0 (51 808)

100.0 (336 874)

 

(…)

Table prepared by authors based on research results. Data from: MS/SVS/DANTPS/CGIAE/Sinasc; and World Health Organization. Robson Classification: implementation manual. Geneva: WHO; 2017.

* Some of the values suggested by WHO are the sum of two groups. There are no reference values for Group 9.

Region/state Brazil hospitals (%) Average CS rate (%) Apice ON hospitals N (%) Average CS rate (%) CS rate range min–max (%) Midwest 574 (11.5) 58.6 12 (12.4) 53.1 41.0–75.1 Distrito Federal 25 (0.5) 51.4 4 (4.1) 49.6 43.4–54.0 Goiás 291 (5.8) 71.2 3 (3.1) 56.6 41.0–75.1 Mato Grosso do Sul 108 (2.2) 61.6 3 (3.1) 54.2 51.2–56.1 Mato Grosso 150 (3.0) 61.5 2 (2.1) 53.4 49.7–57.0 Northeast 1 619 (32.3) 50.0 17 (17.5) 53.3 31.0–62.4 Alagoas 68 (1.4) 54.4 1 (1.0) 57.8 57.8–57.8 Bahia 487 (9.7) 42.7 2 (2.1) 51.6 49.4–53.8 Ceará 220 (4.4) 56.8 3 (3.1) 61.4 59.9–62.3 Maranhão 248 (4.9) 45.9 1 (1.0) 54.3 54.3–54.3 Paraíba 88 (1.8) 57.0 2 (2.1) 51.4 48.3–54.5 Pernambuco 249 (5.0) 49.4 4 (4.1) 50.1 43.7–56.5 Piauí 114 (2.3) 54.7 1 (1.0) 62.4 62.4–62.4 Rio Grande do Norte 96 (1.9) 61.4 2 (2.1) 54.6 46.7–62.4 Sergipe 49 (1.0) 43.8 1 (1.0) 31.0 31.0–31.0 North 592 (11.8) 46.4 13 (13.4) 44.7 27.5–61.6 Acre 23 (0.5) 41.1 2 (2.1) 49.8 49.1–50.5 Amazonas 101 (2.0) 37.8 4 (4.1) 44.8 41.6–47.2 Amapá 24 (0.5) 34.1 1 (1.0) 34.2 34.2–34.2 Pará 278 (5.5) 48.9 2 (2.1) 46.4 42.5–50.2 Rondônia 76 (1.5) 66.3 2 (2.1) 44.5 27.5–61.6 Roraima 22 (0.4) 36.8 1 (1.0) 36.8 36.8–36.8 Tocantins 68 (1.4) 54.6 1 (1.0) 49.9 49.9–49.9 Southeast I 756 (15.1) 58.6[ 16 (16.5) 42.1 25.6–67.2 Espírito Santo 72 (1.4) 61.4 2 (2.1) 59.0 50.9–67.2 Minas Gerais 489 (9.8) 57.5 11 (11.3) 37.1 25.6–61.2 Rio de Janeiro 195 (3.9) 57.7 3 (3.1) 48.8 36.8–58.4 Southeast II 683 (13.6) 21 (21.6) 48.2 31.8–70.0 São Paulo 683 (13.6) 59.2 21 (21.6) 48.2 31.8–70.0 South 788 (15.7) 61.3 18 (18.6) 45.2 24.8–66.5 Paraná 357 (7.1) 62.0 6 (6.2) 47.7 24.8–66.5 Rio Grande do Sul 259 (5.2) 62.8 8 (8.2) 44.9 33.8–55.1 Santa Catarina 172 (3.4) 58.0 4 (4.1) 43.0 36.0–60.2 Total 5 012 (100.0) 55.6 97 (100.0) (…) 24.8–75.1 Table prepared by authors based on research results. Data from MS/SVS/DANTPS/CGIAE/Sinasc. CS, cesarian section. This rate is for the Southeast, both Southeast I and II. Table 3 presents the CS rates for TH, comparing them with the WHO references (15). CS rates in all Robson groups were consistently higher than the references. The overall rate was 44.7%, higher in hospitals of the Northeast (51.3%) and Midwest (49.5%). Adopting WHO values as references, for Group 1, the regions presented two to four times higher proportions; for Group 2, they far exceeded the reference range of 20% to 35%, reaching 63.8% in the Midwest; for Group 3, they were from almost three (South) to eight times (Northeast) the upper limit; for Group 4, they ranged from 1.5 (Southeast I) to three times (Midwest) higher. In all regions there were higher proportions than those suggested by WHO for Group 5. For Groups 6, 7, and 9 (breech and other anomalous presentations) high rates and even 100% are acceptable due to the risks associated with normal births in these circumstances. WHO suggested a reference rate of 60% for Group 8 (all multiple pregnancies); this rate ranged from 85.2% in the Midwest to 75.5% in Southeast I. For Group 10 (all preterm infants), with about 30% suggested, all regions had rates at least 1.3 times higher.
TABLE 3.

Distribution of cesarean section rates by Robson Classification group in Apice ON project hospitals, and adopting WHO as reference; Brazil and regions, 2017

Robson group

Midwest

%

Northeast

%

North

%

Southeast I

%

Southeast II

%

South

%

Brazil

%

WHO

%

G1

33.0

43.3

31.9

22.4

24.9

20.3

29.9

<10

G2

63.8

47.3

56.0

40.5

52.1

51.1

49.8

20–35

G3

14.8

24.4

14.3

9.5

8.9

8.3

13.4

Up to 3

G4

46.5

30.9

38.0

23.6

32.8

32.8

32.0

Up to 15

G5

79.2

83.6

71.5

77.5

74.2

72.4

76.2

50–60

G6*

89.7

87.5

95.1

81.4

93.3

91.8

90.4

(…)

G7*

90.3

86.4

93.9

79.0

90.7

89.1

89.4

(…)

G8

85.2

79.2

81.1

75.5

82.8

78.8

80.1

Around 60

G9*

93.2

95.9

95.9

94.9

95.5

98.1

96.0

(…)

G10

47.1

50.7

41.3

42.2

48.3

47.6

46.3

Around 30

Total

49.5

51.3

43.0

37.8

44.8

42.9

44.7

(…)

Table prepared by authors based on research results. Data from: MS/SVS/DANTPS/CGIAE/Sinasc; and World Health Organization. Robson Classification: implementation manual. Geneva: WHO; 2017.

* There are no reference values for Groups 6, 7, and 9.

Robson group Midwest % (N) Northeast % (N) North % (N) Southeast I % (N) Southeast II % (N) South % (N) Brazil % (N) WHO* % G1 18.3 (5 069) 16.4 (11 196) 21.0 (14 769) 18.5 (10 435) 13.6 (7 389) 15.7 (8 033) 17.3 (56 891) } 35–42 G2 9.3 (2 571) 12.6 (8 578) 6.7 (4 728) 13.7 (7 732) 14.7 (8 003) 14.4 (7 384) 11.9 (38 996) G3 21.1 (5 859) 16.0 (10 895) 25.9 (18 177) 21.4 (12 107) 19.1 (10 361) 19.0 (9 729) 20.5 (67 128) } Around 30 G4 7.4 (2 044) 11.2 (7 632) 5.7 (4 012) 11.4 (6 420) 12.2 (6 604) 10.3 (5 295) 9.8 (32 007) G5 21.6 (6 001) 18.1 (12 355) 17.7 (12 420) 18.1 (10 209) 21.5 (11 688) 20.1 (10 299) 19.2 (62 972) Under 10 G6 1.5 (409) 1.8 (1 223) 2.0 (1 417) 1.2 (699) 1.3 (727) 1.8 (919) 1.6 (5 394) } 3–4 G7 2.3 (640) 2.6 (1 760) 4.4 (3 078) 1.8 (1 014) 2.1 (1 146) 2.5 (1 277) 2.7 (8 915) G8 4.2 (1 172) 4.3 (2 915) 2.7 (1 896) 3.1 (1 757) 3.8 (2 071) 3.4 (1 764) 3.5 (11 575) 1.5–2 G9 0.3 (74) 0.3 (195) 0.1 (97) 0.2 (98) 0.2 (134) 0.4 (207) 0.2 (805) (…) G10 14.1 (3 917) 16.9 (11 551) 13.6 (9 582) 10.7 (6 038) 11.4 (6 202) 12.2 (6 260) 13.3 (43 550) Under 5 Unclassified 5.5 (1 630) 2.4 (1 711) 5.5 (4 063) 0.9 (490) 0.2 (91) 1.2 (641) 2.6 (8 641) (…) Total 100.0 (29 386) 100.0 (70 011) 100.0 (74 239) 100.0 (56 999) 100.0 (54 416) 100.0 (51 808) 100.0 (336 874) (…) Table prepared by authors based on research results. Data from: MS/SVS/DANTPS/CGIAE/Sinasc; and World Health Organization. Robson Classification: implementation manual. Geneva: WHO; 2017. * Some of the values suggested by WHO are the sum of two groups. There are no reference values for Group 9. Robson group Midwest % Northeast % North % Southeast I % Southeast II % South % Brazil % WHO % G1 33.0 43.3 31.9 22.4 24.9 20.3 29.9 <10 G2 63.8 47.3 56.0 40.5 52.1 51.1 49.8 20–35 G3 14.8 24.4 14.3 9.5 8.9 8.3 13.4 Up to 3 G4 46.5 30.9 38.0 23.6 32.8 32.8 32.0 Up to 15 G5 79.2 83.6 71.5 77.5 74.2 72.4 76.2 50–60 G6 89.7 87.5 95.1 81.4 93.3 91.8 90.4 (…) G7 90.3 86.4 93.9 79.0 90.7 89.1 89.4 (…) G8 85.2 79.2 81.1 75.5 82.8 78.8 80.1 Around 60 G9 93.2 95.9 95.9 94.9 95.5 98.1 96.0 (…) G10 47.1 50.7 41.3 42.2 48.3 47.6 46.3 Around 30 Total 49.5 51.3 43.0 37.8 44.8 42.9 44.7 (…) Table prepared by authors based on research results. Data from: MS/SVS/DANTPS/CGIAE/Sinasc; and World Health Organization. Robson Classification: implementation manual. Geneva: WHO; 2017. * There are no reference values for Groups 6, 7, and 9.

DISCUSSION

This article innovates by proposing to study obstetric practices in TH as potential determinants of high national CS rates and shows the potential of having routine data collection on variables related to mode of birth that allows for an assessment of different indicators. In the Brazilian birth certificate registry, Sinasc, it is possible to use the Robson Classification to assess the adequacy of the indications of CS, as shown in this study. Implemented in 2011, by 2017 only 5% of birth certificates had missing information needed to allow classification (16). It is curious that in TH, which should be a gold standard in terms of data quality, there were still 2.6% of births that could not be classified at the project onset (see Table 2). These indicators are available for different units of analysis: country, regions, states, towns, and individual hospitals. The Robson Classification is available for preliminary data in real time (17) so any hospital, municipality, or state can keep track of its evolution, as long as the birth certificate data are entered. A systematic review acknowledged how useful the Robson Classification is for audit and feedback (18); one of the TH included in this study even proposed to revise its protocols regarding induction in nulliparous women, as well as implementing vaginal birth after CS (19). The overall range of the CS rate was 24.8%–75.1%, exceeding by far the WHO acceptable standards. This analysis showed that the proportion of women in Group 5, with previous CS, was twice the WHO parameter (19.2% vs. <10%), evidencing the generalization of the surgical procedure, also for primipara, in Brazil. Proportions higher than the parameter in Groups 8 (twins) and 10 (preterm) may be associated with the fact that these are reference hospitals. However, high CS rates in Group 1 (29.9% in TH vs. <10% recommended) and even more so in Group 3 (13.4% in TH vs. <3% recommended), which are of very low risk for the procedure, suggest that TH do not follow obstetric and fetal indications. The function of TH is to provide quality care and be a reference for future professionals (a gold standard), in addition to their responsibility as a practice field for undergraduate education and medical residency (20). This baseline assessment showed widespread excess of surgical births in TH of all regions of the country, suggesting inadequacy of their care model. Hotimsky and Schraiber (21), in an ethnographic study on how obstetrics is taught in a medical school in São Paulo, Brazil, reported a teacher mentioning in class that CS is a “modern, painless, safe, and efficient” way of giving birth. Probably, the promulgation of such attitudes during undergraduate studies and residencies reverberates in the care provided by today’s obstetricians. Moraes et al. (22) pointed to the responsibility of teaching in the generalization of cesarean births, presenting reports of teachers, students, and residents favorable to the procedure in view of its ease and speed, in addition to saving time, even while recognizing the importance of vaginal delivery. They also reported that the precise indications for CS were always taught, but that professionals found in the market a system that did not offer them the conditions to perform vaginal deliveries, thus preferring CS. This is contradicted by a study (23) which found that as early as 1993, the average CS rate of TH in São Paulo state was 39.1%, ranging from 26.6% to 75.5% with an increasing trend, reinforced by the fact that in this state, the 2017 average TH rate was 44.8%, ranging from 31.8% to 70.0% (data not shown). This suggests that when the Apice ON project began, few TH were fulfilling the role of teaching good practices, and they were not inducing change in the model of care. The ideal CS rate was proposed to be around 7% (24), or between 10% and 18% (25). Since 1985, WHO recommends a rate from 10% to 15% (1). Robson’s article (2001) innovates by proposing to verify rates’ appropriateness according to epidemiological risk criteria for surgical procedures by requiring a stated rationale for their performance, and by stating that reduction initiatives must be accepted by women and implemented safely (9). For Groups 1 to 4, at low risk for this procedure, CS rate excesses were clear. Considering the national data for TH, they were about three times higher than WHO recommendations for Group 1, 1.5 times higher for Group 2, more than four times higher for Group 3, and more than two times higher for Group 4. These would be the groups of choice for designing CS-reduction actions. In Group 5, the rate was 15% to 25% higher than recommended, at 76.2% (suggested 50%–60%). As mentioned, TH should be exemplary; these high rates reveal missed opportunities to teach vaginal birth after CS, possibly because of a preference to train surgical techniques. The current dominant model of obstetric and neonatal care in the country—medical-centered and characterized by excessive interventions—should switch toward one that considers delivery and birth a physiological phenomenon, using appropriate technology and interventions, enabling appropriate ambience in birth centers for vaginal delivery, involving obstetric nurses in the monitoring and care for labor, delivery and birth, and respecting women’s choices and rights (7)—striving for childbirth be a positive experience, as recommended by WHO since 2018 (26). Birth is culturally marked and shaped; hence, the transition between these models is very dependent on the local culture. In some countries, such as Japan, the Netherlands, and New Zealand, the latter model is prevalent, while in others, such as Greece, the United States of America, and some Latin American countries, Brazil included, the interventionist model prevails (27). Brazilian public policy has been guided by a collective effort to make this change happen, aiming to: implement a collaborative model of care, which offers the sharing of responsibilities among doctors, obstetric nurses, midwives, and other professionals; harmonization of the work process; and, among the necessary interventions, implementing respect for the physiology of the birth process and the qualification of childbirth care (21). This baseline study innovates by proposing that interventionist approaches in obstetrics might be derived from the way obstetrics is taught. A previous article on the same TH described how an important proportion of them do not follow the Brazilian Ministry of Health guidelines, some of which even stem from the 1980s, such as rooming-in, or from the 1990s, such as the international Baby-Friendly Hospital Initiative (28). This paper showed that these TH do not follow obstetric indications for surgical procedures, adding to the question on how obstetrics is being taught and what kind of professionals will come out from this educational process. It also reinforces the adequacy and opportunity of the Apice ON project as a means to change the teaching curricula, practices, and interventionist culture. The limitations of this study derive from: use of a secondary database, with probable heterogeneity in the quality of birth certificate completion; lack of validation of conceptual definitions for variables such as “labor induction,” which might have been identified with the use of oxytocin, while its use is also possible in the active management of care; and the worldwide lack of studies on TH on a national level, which would allow amplification of the discussion about the problem herein addressed. A survey of the existing literature identified studies only of individual hospitals. Before Robson’s proposal for CS classification by epidemiological risk groups, evaluations were made based solely on CS rate. His classification allows identification of lower and higher risk groups for CS, besides monitoring interventions to reduce rates in selected groups, and it is recommended by WHO. Betrán et al. concluded that interventions to reduce overuse of CS must be multicomponent and locally tailored, addressing women’s and health professionals’ concerns, as well as health system and financial factors (29). Silva et al. (19) listed some successful strategies used by other authors to reduce CS rates: training professionals on evidence-based practices; implementation of standardized protocols for the main CS indications; audit and feedback; designation of a leader to coordinate these efforts; structural and organizational changes; and monitoring obstetric outcomes to assess quality of care. All these possibilities for action depend on reliable data for decision-making. Other countries with similar problems, by adopting the Robson Classification in their routine data collection, might be able to identify where the excesses occur and on which groups to focus, and to design customized strategies to reduce their excess CS. As mentioned, the Brazilian panel allows monitoring of the data at the level of establishments, municipalities, states, and others, thus becoming an important tool for management. Brazilian TH display high CS rates even in groups at low risk for surgical procedures. This study’s results strongly suggest that the excess of surgical interventions in births may be determined by what was learned and practiced during the professional training in TH. Countries with high CS rates might explore this hypothesis in their TH in order to define policies for the reduction of their high rates.

Disclaimer.

Authors hold sole responsibility for the views expressed in the manuscript, which may not necessarily reflect the opinion or policy of the RPSP/PAJPH and/or the Pan American Health Organization.
  16 in total

1.  Can we reduce the caesarean section rate?

Authors:  M S Robson
Journal:  Best Pract Res Clin Obstet Gynaecol       Date:  2001-02       Impact factor: 5.237

2.  [Cesarean sections: an epidemic profile].

Authors:  M S de Moraes; P Goldenberg
Journal:  Cad Saude Publica       Date:  2001 May-Jun       Impact factor: 1.632

3.  Cesarean section and chronic immune disorders.

Authors:  Astrid Sevelsted; Jakob Stokholm; Klaus Bønnelykke; Hans Bisgaard
Journal:  Pediatrics       Date:  2014-12-01       Impact factor: 7.124

4.  The Robson ten-group classification system for appraising deliveries at a tertiary referral hospital in Brazil.

Authors:  Elton C Ferreira; Rodolfo C Pacagnella; Maria L Costa; Jose G Cecatti
Journal:  Int J Gynaecol Obstet       Date:  2015-02-10       Impact factor: 3.561

Review 5.  Caesarean section in Britain and the United States 12% or 24%: is either the right rate?

Authors:  C Francome; W Savage
Journal:  Soc Sci Med       Date:  1993-11       Impact factor: 4.634

Review 6.  Indications for and Risks of Elective Cesarean Section.

Authors:  Ioannis Mylonas; Klaus Friese
Journal:  Dtsch Arztebl Int       Date:  2015-07-20       Impact factor: 5.594

7.  Use of the Robson classification has improved understanding of caesarean section rates in France.

Authors:  J P Vogel; A P Betrán; A M Gülmezoglu
Journal:  BJOG       Date:  2015-01-05       Impact factor: 6.531

Review 8.  Classifications for cesarean section: a systematic review.

Authors:  Maria Regina Torloni; Ana Pilar Betran; Joao Paulo Souza; Mariana Widmer; Tomas Allen; Metin Gulmezoglu; Mario Merialdi
Journal:  PLoS One       Date:  2011-01-20       Impact factor: 3.240

9.  Audit and feedback using the Robson classification to reduce caesarean section rates: a systematic review.

Authors:  A A Boatin; F Cullinane; M R Torloni; A P Betrán
Journal:  BJOG       Date:  2017-07-17       Impact factor: 6.531

10.  Structure and practices in hospitals of the Apice ON Project: a baseline study.

Authors:  Yluska Myrna Meneses Brandão E Mendes; Daphne Rattner
Journal:  Rev Saude Publica       Date:  2020-02-10       Impact factor: 2.106

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