Abstract
Background
Determinants of regional variation in caesarean sections can contribute explanations for the observed overall increasing trend of caesarean sections. We assessed which mechanism explains the higher rate of caesarean sections in the former West than East Germany: a more liberal use of caesarean sections in the case of relative indications or more common caesarean sections without indications.
Methods
We used a health insurance database from all regions of Germany with approximately 14 million insured individuals (about 17% of the total population in Germany). We selected women who gave birth in the years 2004 to 2006 and identified indications for caesarean section on the basis of hospital diagnoses in 30 days around birth. We classified pregnancies into three groups: those with strong indications for caesarean section (based on classification of absolute indications recommended by the Unmet Obstetrics Need network), those with moderate indications (other indications increasing the probability of caesarean section) and those with no indications. We investigated the percentage of caesarean sections among all births, presence of strong or moderate indications in all pregnancies, the probability of caesarean sections in the presence of indications and the fraction of caesarean sections attributable to strong, moderate and no indications.
Results
In total, 294,841 births from 2004–2006 were included in the analysis. In the former West Germany, 30% births occurred by caesarean section, while in the former East Germany the caesarean section rate was 22%. Proportions of pregnancies with strong and moderate indications for caesarean section were similar in both regions. For strong indications the probability of caesarean section was similar in East and West Germany, but the probability of caesarean section among women with moderate indications was substantially higher in the former West Germany. Caesarean sections were also more common among women with no indications in the former West (8%) than in the former East (4-5%). The higher probability of caesarean section in the case of strong or moderate indications in the former West than in the East explained 87% of the difference between section rates in these two regions, while caesarean sections without indications contributed to only 13% of the difference observed.
Conclusions
The observed difference between caesarean section rates in the former East and West Germany was most likely due to different medical practice in handling relative indications.
Keywords: Caesarean section, Regional differences, Absolute and relative indications, Time trends
Background
Caesarean section rates are on the rise worldwide [1-4]. The causes of this increase remain often hidden and can differ across countries. In Germany, substantial differences in caesarean section rates between the former eastern and western parts have been observed [5]. Absolute indications for caesarean section, which are responsible only for a small share of caesarean sections in developed countries, are unlikely to explain the partly large differences. But it remains unclear whether the differences arise from different medical practice (in such case either relative indications can be diagnosed more frequently, or in case of relative indications there is a higher probability of caesarean section being performed) or from different preferences regarding caesarean sections without indications. If caesarean sections are performed more commonly in the presence of relative indications, the difference may be attributable to medical practice. In contrast, if the difference arises from caesarean sections without indications, the woman’s or physician’s preference is likely to play a major role. We studied the components of East-West differences with regard to caesarean section by assessing: a) the prevalence of indications for caesarean section in all births, b) the risk for caesarean section in the presence of indications, c) the difference in caesarean section rates attributable to caesarean sections with and without indications.
Methods
Sample
We analysed data from the German Pharmacoepidemiological Research Database (GePaRD). The database has been described elsewhere [6-10]. In brief, GePaRD consists of claims data from four German statutory health insurances with more than 14 million people (around 17% of the total population) across Germany. The database contains in- and outpatient diagnoses, diagnostic and therapeutic procedures, and outpatient drug prescriptions. At the time of this analysis, data for 2004–2006 were available for all four health insurances included in GePaRD. The utilisation of health insurance data for scientific research is regulated by the Code of Social Law in Germany (SGB X). This study was conducted with permission from the Federal Ministry of Health, which is the responsible authority. Informed consent was not required, since the study was based on routinely collected anonymised data.
Ascertainment of diagnoses and procedures
All hospital births to women 12 to 54 years old between January 1st 2004 and December 31st 2006 were identified using coding of diagnoses according to the International Classification of Diseases, German Modification, 10th version (ICD-10 GM) and coding of operations and procedures (OPS). Births were classified as caesarean sections based on ICD-10 GM and OPS codes. To assess potential indications, we screened all admission and discharge diagnoses from hospitalisations starting in the 30 days before birth. Additionally, we included hospitalisations after birth if they ended within 30 days after birth. For codes indicating duration of pregnancy, we restricted the interval to 7 days before and after the delivery date, since ICD-10 codes indicating the duration of pregnancy (O09.-) can be used throughout the pregnancy i.e. also for admissions for reasons other than delivery.
The selection of diagnoses which can be potentially associated with a higher risk of caesarean sections was based on a review of the literature and content knowledge (the corresponding ICD-10 codes are provided in Table 1). Since the data does not contain the actual reason for caesarean section but only reimbursement diagnoses recorded around birth, the clinical classification of absolute and relative indications can be only approximated. Therefore the diagnoses were grouped into strong indications (corresponding to the classification proposed by the Unmet Obstetric Need network [11], but including also breech delivery among anomalies of foetal presentation) and moderate indications (all other diagnoses thought to increase the probability of caesarean section).
Table 1.
Diagnoses with an expected higher risk of caesarean section and the corresponding ICD-GM 10 codes
| Diagnoses | ICD-GM 10 codes |
|---|---|
| Twins and higher order pregnancies |
O30, Z37.2-3, Z37.5-6, Z38.3, Z38.6 |
| Anomalies of the foetal presentation |
O32, O64 |
| Intrauterine growth restriction |
O36.5 |
| Post date pregnancy |
O09.7, O48 |
| Preterm delivery |
O09.3-5, O60.1, O60.3 |
| Maternal distress |
O75.0, O75.2, O75.3 |
| Obstructed labour |
O66 |
| Asphyxia |
O68 |
| Prolonged birth |
O63 |
| Macrosomia |
O36.6, O66.2 |
| Placenta praevia |
O44 |
| Abruptio placentae |
O45 |
| Disproportion |
O33 |
| Anomalies of maternal pelvis |
O34, O65 |
| Intrapartal bleeding (excluded placenta previa) |
O67 |
| Failed induction |
O61 |
| Preexisting hypertonic disorders |
O10 |
| Non-severe hypertonic disorders during pregnancy |
O11-13 |
| Preeclampsia |
O14 |
| Eclampsia |
O15 |
| Complications because of umbilical cord |
O69 |
| Diabetes mellitus |
O24.0-3 |
| Gestational diabetes mellitus |
O24.4 |
| Uterine rupture |
O71.0-1 |
| Premature rupture of foetal membranes (PROM) |
O42, O75.5-6 |
| Abnorm contractions |
O62.0-2 |
| Previous caesarean section | O34.2 |
Statistical analysis
We calculated the percentage of caesarean sections among all hospital deliveries stratified by year and federal state. To obtain representative numbers for Germany and regions of former West and East Germany (including Berlin), the proportion of caesarean sections per federal state was weighted by the total number of births in the corresponding federal state. Furthermore, we ascertained the prevalence of indications for caesarean section among all births. We then estimated the risk of caesarean sections among those with a specific indication. We used logistic regression to test for time trends and regional differences (East vs. West Germany), simultaneously adjusting for both sources of variation. Finally, we calculated the percentage of caesarean sections resulting from strong indications, moderate indications and no indications by maternal age and region. We also calculated the attributable fraction of caesarean sections for strong, moderate or no indications in East and West Germany. All statistical analyses were conducted with SAS 9.2 (SAS Institute Inc., Cary, NC). We specified the significance level at p < 0.01.
Results
Variation in caesarean section rates across federal states
In total, 294,841 births were included in the analysis (Table 2). Among them, 29% were caesarean sections. In 2004, the caesarean section rate in GePaRD was two percent points higher than in the hospital statistics for the whole of Germany, but the rates converged over time and in 2006 there was only one percent point difference. Across the federal states there were substantial regional differences, with caesarean section rates in the former West Germany at 30% and in the former East at 22%. In Berlin, the rate was close to those observed in the former East Germany despite the fact that territorially a larger part of Berlin belonged to the former West Germany. Within the former West and East Germany there was little variation across federal states (Figure 1).
Table 2.
Percentage of caesarean sections among all hospital deliveries by year and federal states
| |
GePaRD |
Hospital statistics |
||||
|---|---|---|---|---|---|---|
| 2004 | 2005 | 2006 | 2004 | 2005 | 2006 | |
|
All Births [n] |
100,160 |
99,195 |
95,486 |
682,767 |
664,597 |
652,642 |
| Schleswig-Holstein |
29.0 |
28.2 |
30.4 |
24.9 |
27.2 |
30.3 |
| Hamburg |
30.6 |
30.6 |
30.9 |
26.9 |
30.1 |
27.6 |
| Lower Saxony |
29.6 |
30.0 |
30.2 |
27.0 |
28.1 |
28.7 |
| Bremen |
27.8 |
26.4 |
26.3 |
28.8 |
26.1 |
29.5 |
| North-Rhine Westphalia |
30.6 |
31.4 |
32.1 |
27.9 |
28.6 |
29.6 |
| Hesse |
31.0 |
31.8 |
32.7 |
29.8 |
30.9 |
31.5 |
| Rhineland-Palatinate |
31.9 |
31.5 |
32.1 |
30.8 |
29.1 |
30.4 |
| Baden-Württemberg |
29.6 |
30.1 |
30.2 |
28.1 |
28.9 |
29.3 |
| Bavaria |
28.8 |
29.2 |
30.6 |
27.6 |
28.5 |
30.4 |
| Saarland |
33.2 |
31.4 |
34.4 |
33.6 |
32.1 |
33.2 |
| Berlin |
23.0 |
22.4 |
23.8 |
20.7 |
21.9 |
24.1 |
| Brandenburg |
22.4 |
23.3 |
25.0 |
20.6 |
21.3 |
23.6 |
| Mecklenburg-Western Pomerania |
25.6 |
26.4 |
24.8 |
23.0 |
23.4 |
24.7 |
| Saxony |
21.8 |
20.1 |
19.8 |
19.9 |
21.0 |
22.2 |
| Saxony-Anhalt |
23.0 |
22.7 |
23.1 |
20.6 |
22.2 |
22.5 |
| Thuringia |
22.7 |
21.0 |
23.7 |
24.7 |
23.2 |
23.9 |
|
Former West Germany* |
30.0 |
30.4 |
31.2 |
28.1 |
28.8 |
29.8 |
|
Former East Germany*,+ |
22.8 |
22.2 |
22.9 |
21.2 |
21.9 |
23.3 |
| Total* | 28.7 | 28.9 | 29.6 | 26.8 | 27.6 | 28.6 |
* Weighted estimate using crude birth rates per federal state.
+ including Berlin.
Figure 1.
Variation in caesarean section rates across federal states in Germany (%).
There was an almost linear increase in caesarean section rates by maternal age, with a doubling of rates from 20% to 40% between the ages of 15 and 44 in the former West and from 15% to 30% in the former East (Figure 2).
Figure 2.
Percentage of deliveries by caesarean section by maternal age * and region (East and West Germany). * For graphical presentation age range was restricted to 15–44 years.
Prevalence of indications for caesarean section in all births
Over the three years, there were no major changes in the prevalence of diagnoses providing indications for caesarean section, with the exception of the diagnosis of asphyxia which increased from 21 to 24% of all births in former East Germany (Table 3). However, because of several minor changes, the fraction of women with at least one indication for caesarean section increased by 2–3 percent points in both regions and correspondingly, the fraction of pregnancies without any indications decreased. For strong indications, there was no change over the study period. There were some differences between both regions, but most of them were less than one percent point. The overall percentages of women with at least one strong, at least one moderate and no indications for caesarean section were very similar in both parts.
Table 3.
Prevalence of complications of pregnancy and labour with a higher risk for caesarean section by region and year (all hospital births in the GePaRD) (% with a given diagnosis)
| |
Former East Germany |
Former West Germany |
By year |
By region |
||||
|---|---|---|---|---|---|---|---|---|
| |
2004a |
2005 |
2006f |
2004a |
2005 |
2006f |
|
|
| Diagnosesb | % | % | % | % | % | % | p-valuee | p-valuee |
| Twins and higher order pregnancies |
1.86 |
1.64 |
1.64 |
2.02 |
1.73 |
1.92 |
0.0506 |
0.0101 |
| Anomalies of the foetal presentation |
9.42 |
9.81 |
9.57 |
9.71 |
9.85 |
10.12 |
0.0100 |
0.0497 |
| Intrauterine growth restriction |
3.33 |
3.49 |
3.88 |
3.39 |
3.69 |
4.19 |
<.0001 |
0.0376 |
| Post date pregnancy |
15.85 |
16.64 |
16.66 |
13.62 |
15.10 |
14.73 |
<.0001 |
<.0001 |
| Preterm delivery |
7.58 |
7.31 |
7.38 |
7.69 |
7.59 |
7.36 |
0.0155 |
0.3190 |
| Maternal distress |
0.55 |
0.50 |
0.71 |
0.47 |
0.51 |
0.41 |
0.5211 |
0.0005 |
| Obstructed labour |
1.15 |
1.01 |
1.02 |
1.39 |
1.61 |
1.45 |
0.6837 |
<.0001 |
| Asphyxia |
20.92 |
22.56 |
23.63 |
19.30 |
20.59 |
20.88 |
<.0001 |
<.0001 |
| Prolonged birth |
8.07 |
7.77 |
7.48 |
9.62 |
10.08 |
10.19 |
0.0087 |
<.0001 |
| Macrosomia |
1.57 |
1.69 |
1.79 |
1.33 |
1.38 |
2.17 |
<.0001 |
0.2974 |
| Placenta praevia |
0.36 |
0.41 |
0.49 |
0.52 |
0.51 |
0.51 |
0.5895 |
0.0086 |
| Abruptio placentae |
0.50 |
0.56 |
0.48 |
0.64 |
0.54 |
0.58 |
0.1963 |
0.0582 |
| Disproportion |
2.29 |
2.15 |
2.18 |
3.57 |
3.30 |
3.40 |
0.0506 |
<.0001 |
| Anomalies of maternal pelvis |
10.25 |
9.62 |
9.73 |
13.03 |
13.69 |
14.24 |
<.0001 |
<.0001 |
| Intrapartal bleeding (excluding placenta previa) |
0.34 |
0.30 |
0.46 |
0.39 |
0.58 |
0.56 |
<.0001 |
<.0001 |
| Failed induction |
1.00 |
0.94 |
0.98 |
0.95 |
1.19 |
1.31 |
<.0001 |
0.0006 |
| Preexisting hypertonic disorders |
0.39 |
0.44 |
0.44 |
0.31 |
0.33 |
0.34 |
0.2226 |
0.0013 |
| Non-severe hypertonic disorders during pregnancy |
3.76 |
3.83 |
3.79 |
3.06 |
3.34 |
3.39 |
0.0013 |
<.0001 |
| Preeclampsia |
3.21 |
3.32 |
3.19 |
3.04 |
2.99 |
2.89 |
0.1234 |
0.0015 |
| Eclampsia |
0.17 |
0.08 |
0.13 |
0.15 |
0.13 |
0.13 |
0.1504 |
0.5808 |
| Complications because of umbilical cord |
10.25 |
11.00 |
11.40 |
9.29 |
9.95 |
10.15 |
<.0001 |
<.0001 |
| Diabetes mellitus |
0.42 |
0.39 |
0.33 |
0.39 |
0.36 |
0.40 |
0.8311 |
0.9695 |
| Gestational diabetes mellitus |
1.97 |
2.28 |
2.45 |
3.44 |
3.72 |
3.77 |
<.0001 |
<.0001 |
| Uterine rupture |
0.18 |
0.15 |
0.21 |
0.28 |
0.26 |
0.26 |
0.4876 |
0.0005 |
| Premature rupture of foetal membranes (PROM) |
19.51 |
20.18 |
20.40 |
19.33 |
20.24 |
20.50 |
<.0001 |
0.9789 |
| Abnorm contractions |
6.33 |
6.97 |
6.51 |
4.89 |
5.41 |
5.22 |
0.0037 |
<.0001 |
| Previous caesarean section |
5.14 |
4.94 |
4.77 |
7.36 |
7.88 |
8.36 |
<.0001 |
<.0001 |
| At least one strongc indication for caesarean section |
12.35 |
12.68 |
12.43 |
14.12 |
13.91 |
14.32 |
0.2773 |
<.0001 |
| At least one of the moderated indications for caesarean section |
58.33 |
60.06 |
60.98 |
56.65 |
59.71 |
59.99 |
<.0001 |
<.0001 |
| Patients with no indication of diagnoses which could justify caesarean section | 29.31 | 27.26 | 26.59 | 29.23 | 26.39 | 25.69 | <.0001 | 0.0041 |
a Restricted to births from February till December.
b The same patient could have several of the listed diagnoses.
c As strong indications were classified: Placenta praevia, Abruptio placentae, Uterine rupture, anomalies of foetal presentation and disproportion [11].
d All indications listed in the table and not classified as strong were classified as moderate.
e p-values obtained from logistic regression simultaneously adjusting for time trends and regional differences.
f Restricted to births from January till November.
Risk of caesarean section in the presence of indications
We also analysed how often caesarean sections were performed when specific conditions existed (Table 4). As expected, there was a large variation in the probability of caesarean section across different conditions. Indications classified as strong were associated with a probability of caesarean section of 75% or more. Additionally, the fraction of caesarean sections was high (>50%) in the case of twins or higher order pregnancies, anomalies of foetal presentation, disproportion or anomalies of maternal pelvis, failed induction, eclampsia, and previous caesarean section. In contrast, for some of the moderate indications the risk of caesarean sections was below 30%. For patients with no indications, the probability of a caesarean section was 4-5% in the East and 8% in the West.
Table 4.
Probability of caesarean section given selected pregnancy and intrapartum conditions
| |
Former East Germany |
Former West Germany |
By year |
By region |
||||
|---|---|---|---|---|---|---|---|---|
| |
2004a |
2005 |
2006f |
2004a |
2005 |
2006f |
|
|
| Diagnosesb | % | % | % | % | % | % | p-valuee | p-valuee |
| Twins and higher order pregnancies |
71.85 |
71.38 |
68.28 |
75.30 |
74.42 |
74.34 |
0.3512 |
0.0118 |
| Anomalies of the fetal presentation |
76.72 |
74.41 |
75.83 |
79.15 |
79.56 |
78.83 |
0.4934 |
<.0001 |
| Intrauterine growth restriction |
47.96 |
44.55 |
42.88 |
52.91 |
51.58 |
50.67 |
0.0259 |
<.0001 |
| Post date pregnancy |
18.58 |
17.88 |
19.96 |
24.73 |
24.96 |
25.80 |
0.0303 |
<.0001 |
| Preterm delivery |
50.49 |
46.55 |
46.63 |
54.25 |
54.34 |
55.44 |
0.7540 |
<.0001 |
| Maternal distress |
46.67 |
39.33 |
45.22 |
57.63 |
60.29 |
55.81 |
0.6702 |
<.0001 |
| Obstructed labour |
54.01 |
52.51 |
49.40 |
53.54 |
54.39 |
54.73 |
0.8577 |
0.3510 |
| Asphyxia |
31.08 |
29.07 |
29.75 |
36.92 |
36.54 |
37.24 |
0.9664 |
<.0001 |
| Prolonged birth |
44.84 |
45.66 |
50.08 |
48.84 |
49.63 |
50.60 |
0.0030 |
0.0009 |
| Macrosomia |
48.82 |
45.97 |
46.58 |
54.38 |
57.74 |
48.67 |
0.0014 |
0.0011 |
| Placenta praevia |
93.22 |
82.19 |
82.50 |
87.95 |
86.68 |
87.47 |
0.3814 |
0.4586 |
| Abruptio placentae |
87.65 |
85.86 |
82.28 |
84.28 |
86.68 |
86.85 |
0.5091 |
0.8071 |
| Disproportion |
80.59 |
79.42 |
80.00 |
83.23 |
82.10 |
81.98 |
0.2338 |
0.0476 |
| Anomalies of maternal pelvis |
64.46 |
67.41 |
69.80 |
77.69 |
78.74 |
78.79 |
0.0023 |
<.0001 |
| Intrapartal bleeding (excluding placenta praevia) |
52.73 |
64.15 |
50.67 |
51.55 |
50.11 |
57.18 |
0.1732 |
0.5729 |
| Failed induction |
63.80 |
70.30 |
71.07 |
82.11 |
86.05 |
86.88 |
0.0029 |
<.0001 |
| Preexisting hypertonic disorders |
49.21 |
41.56 |
49.30 |
63.25 |
52.06 |
54.40 |
0.0932 |
0.0115 |
| Non-severe hypertonic disorders during pregnancy |
38.85 |
36.15 |
36.57 |
48.93 |
47.59 |
48.01 |
0.3590 |
<.0001 |
| Preeclampsia |
57.39 |
50.85 |
57.12 |
61.49 |
63.40 |
65.15 |
0.0278 |
<.0001 |
| Eclampsia |
67.86 |
57.14 |
57.14 |
68.75 |
77.14 |
69.15 |
0.8089 |
0.1219 |
| Complications because of umbilical cord |
16.06 |
15.25 |
17.48 |
18.79 |
18.78 |
20.04 |
0.0254 |
<.0001 |
| Diabetes mellitus |
50.00 |
55.07 |
58.49 |
60.21 |
56.70 |
59.79 |
0.7618 |
0.2409 |
| Gestational diabetes mellitus |
32.60 |
33.83 |
34.09 |
41.21 |
40.99 |
42.09 |
0.4453 |
<.0001 |
| Uterine rupture |
93.10 |
88.89 |
94.12 |
89.10 |
88.73 |
91.94 |
0.3597 |
0.5007 |
| Premature rupture of foetal membranes (PROM) |
21.98 |
19.04 |
19.66 |
24.97 |
25.03 |
25.21 |
0.6226 |
<.0001 |
| Abnorm contractions |
18.19 |
13.91 |
18.27 |
19.00 |
17.37 |
17.10 |
0.0618 |
0.1223 |
| Previous caesarean section |
68.94 |
71.18 |
76.32 |
80.64 |
81.15 |
82.45 |
0.0003 |
<.0001 |
| At least one strongc indication for caesarean section |
77.96 |
75.51 |
76.71 |
80.32 |
80.31 |
79.86 |
0.2480 |
<.0001 |
| At least one of the moderated indications for caesarean section |
20.78 |
19.62 |
20.77 |
28.40 |
28.63 |
29.28 |
0.0080 |
<.0001 |
| Patients with no indication of diagnoses which could justify caesarean section | 4.04 | 4.26 | 4.82 | 8.17 | 7.91 | 8.19 | 0.5343 | <.0001 |
a Restricted to data from February till December.
b The same patient could have several of the listed diagnoses.
c As strong indications were classified: Placenta praevia, Abruptio placaente, uterine rupture, anomalies of foetal presentation and disproportion [11].
d All indications listed in the table and not classified as strong were classified as moderate.
e p-values obtained from logistic regression mutually adjusting for time trends and regional differences.
f Restricted to births from January till November.
Most of the changes over time in the risk of caesarean section given the presence of indications did not reach statistical significance (Table 4). The few exceptions were prolonged birth and anomalies of maternal pelvis, failed induction and previous caesarean section, for which the risk of caesarean section increased by seven percent points between 2004 and 2006 in former East Germany, and macrosomia for which the risk of caesarean section decreased in both East and West, but the change was more pronounced in the West.
In contrast to the limited changes over time, there were substantial regional differences in the risk of caesarean section in the presence of indications (Table 4). Overall, in the presence of strong indications, there was no regional difference with respect to the risk of caesarean section – in contrast, the risk of caesarean section was 20% for women with moderate indications in the former East and 28% in the former West.
Given the percentage of pregnancies with indications and the probability of caesarean section in the case of existing indications, most of the difference in the section rates between the regions of East and West Germany was attributable to caesarean sections with indications (83%), while caesarean sections in pregnancies without indications contributed less to the difference (13%).
Caesarean sections attributable to strong, moderate and no indications
The percentage of caesarean sections resulting from strong indications was slightly higher in the East than in the West (Figure 3). The percentages of of caesarean sections attributable to relative indications in the West and in the East were similar, while the percentage of caesarean sections in the absence of indications was higher in the West. There were more caesarean sections without identifiable indications among young women.
Figure 3.
Percentage of caesarean sections with i) at least one strong indicationa, ii) with moderate indication(s), but no strong indications and iii) no indications by age and region. a As strong indications were classified: Placenta praevia, Abruptio placaente, Uterine rupture, anomalies of foetal presentation and disproportion [11].
Discussion
We found that the substantial difference in caesarean section rates between the former East and West Germany, 15 years after the reunification of Germany had two components. For a long list of conditions (moderate indications), the probability of caesarean section was considerably higher in the former West than in the East. The prevalence of these conditions did not substantially differ between the two former parts of Germany, which excludes the over-coding of potential justifications for caesarean sections as a potential explanation of the difference. Additionally, the probability of a caesarean section for women without any of the studied conditions was substantially higher in the West, but most of the difference in caesarean section rates between both parts was explained by a higher probability of caesarean sections in case of indications in the western part of Germany.
Extreme variations in caesarean section rates exist across countries worldwide, but in this study we examined the regional variation within one country. Substantial differences in caesarean rates between regions were also observed in other countries [12,13]. Our findings agree with the analyses of time trends in caesarean sections by demonstrating that the differences cannot be explained by clinical risk factors or maternal characteristics [14,15]. The interesting point about Germany is that while some variation within both former parts was also observed, the major difference was between them, which most likely means, that there are different traditions originating from the historical division of Germany.
There was nearly no difference in the prevalence of indications for caesarean section between the East and West. With most of the difference attributable to the higher probability of caesarean sections in the presence of indications, the different medical practice provides a likely explanation for the observed phenomenon, consistent with other studies [12,13]. The coexistence of caesarean section rates varying by 50% across different regions is astonishing, given that both East and West Germany have the same language, media, and social system. The training of medical doctors is standardised across Germany and there is an exchange among staff between regions. Still, in some way, different traditions persist in both former parts. Additionally, there is some contribution of caesarean sections without identified indications to the East-West difference. This fact is likely to reflect different preferences of the women, but also possibly more liberal opinions regarding caesarean sections without indications held by the doctors in the West.
Given the high probability of caesarean section conducted among women with a previous caesarean section (>70% in the East and >80% in West Germany), primary caesarean sections determine repeat caesarean sections in subsequent pregnancies. This mechanism is of concern as a potential cause of further increase in caesarean section rates [15]. Unfortunately, health insurance data in Germany does not contain information on parity. Given the lower fertility in the Eastern part in the 1990s [5], the fraction of primiparous women was likely higher in the East than in the West in the studied period, which should increase caesarean section rates in the East part i.e. the difference in parity-specific caesarean section rate would in reality be even larger. Although the average age at delivery is also lower in the East part [5], this variable does not explain the regional difference as can be seen in Figures 2 and 3 which are stratified by age.
Our findings on the subdivision of caesarean sections in those with strong, moderate and no indications underline once more the fundamental paradox of the optimal section rate. Only 35-40% of caesarean sections were conducted due to strong indications and for a majority of sections the indications were non-absolute. The non-absolute indications provide room for change. By linking different section rates with pregnancy outcomes it should be possible to address the question of the optimal section rate in further research.
Strengths and limitations
The strength of the analysis is the use of the large database. While this database might not be representative of the entire population in all regions of Germany, it is likely to include the same segment of the population with respect to social status across different regions, making direct regional comparisons possible. A further strength is that we were able to include not solely diagnoses from the hospital stay during which birth occurred, but also diagnoses from hospitalisations around delivery time. This should minimize the effects of incomplete coding of diagnoses during the hospital stay ending with birth.
This study also has several important limitations. The database consists of claims data i.e. diagnoses were recorded for the purpose of reimbursement rather than for complete clinical or epidemiological assessment. Nevertheless, several diagnoses included in this analysis were medically unequivocal and for those a correct coding should be expected. German health insurance data does not contain information on body mass index which did not allow the inclusion of this risk factor in the analysis. We also did not establish which caesarean sections were conducted without the onset of labour (planned caesarean section) because a preliminary analysis demonstrated that the necessary information was only available in a small fraction of the cases. Furthermore, we did not assess absolute and relative indications for caesarean section as proposed by the guidelines, but only studied the presence of conditions which might increase the probability of caesarean sections and the occurrence of caesarean sections in women with a record of these conditions. Particularly, we were not able to separate breech delivery from other anomalies of fetal presentation, which resulted in classification of breech presentation as strong indication for caesarean section. Also other codes provided some room for misclassification. Formally assessing absolute and relative indications and causes of caesarean section did not appear possible without a standardisation of indications and without further information from medical records. A further limitation is that we only included indications related to obstetric outcomes and did not consider for example psychiatric codes. Failure to account for these cases might have increased the fraction of caesarean sections without indications, but this effect should be minor.
Conclusions
To conclude, the substantial difference in caesarean section rates between both former parts of Germany, fifteen years after reunification, was most likely due to different medical practice in handling of pregnancies with relative indications for caesarean sections. These differences possibly originate from the past and persist despite a standardised training of the medical staff across Germany.
Competing interests
RTM received research funding from Sanofi Pasteur and Bayer Pharma. NS, CL and IL participated in projects funded by Bayer Pharma. JZ has no conflict of interests. EG is running a department that occasionally performs studies for pharmaceutical industries. The companies include Mundipharma, Bayer Pharma, Stada, SanofiAventis, SanofiPasteur, Novartis, Celgene and GSK. EG has been consultant to Bayer Pharma, Nycomed, Teva and Novartis in the past.
Authors’ contributions
RTM designed the research question and drafted the manuscript. NS conducted the analysis. NS and CL contributed sections of the manuscript. IL conceptualised parts of the analysis. JZ, IL and EG provided comments on the manuscript which substantially improved its content. All authors read and approved the final version.
Pre-publication history
The pre-publication history for this paper can be accessed here:
Contributor Information
Rafael T Mikolajczyk, Email: Rafael.mikolajczyk@helmholtz-hzi.de.
Niklas Schmedt, Email: schmedt@bips.uni-bremen.de.
Jun Zhang, Email: junjimzhang@gmail.com.
Christina Lindemann, Email: christina.lindemann@hamburger-fh.de.
Ingo Langner, Email: langner@bips.uni-bremen.de.
Edeltraut Garbe, Email: garbe@uni-bremen.de.
Acknowledgements
The authors would like to acknowledge support with data analysis by Denise Heuer. The authors are also grateful to all SHIs that provided data for this study: the Allgemeine Ortskrankenkasse (AOK) Bremen/Bremerhaven, the DAK Gesundheit-Unternehmen Leben, the Techniker Krankenkasse (TK) and the hkk
Funding
Parts of the analyses presented in this paper were conducted in a project focussing on the validation of birth information in GePaRD with funding from the Bayer Pharma AG.
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