[Decline in foetal and neonatal mortality in the Netherlands: comparison with other Euro-Peristat countries between 2004 and 2010]. / Afname van foetale en neonatale sterfte in Nederland: vergelijking met andere Euro-Peristat-landen in 2004 en 2010.

OBJECTIVE: To compare the change in foetal and neonatal mortality in the Netherlands between 2004 and 2010 with the change in other European countries. DESIGN: Descriptive, population-based study. METHOD: Data from the Euro-Peristat project on foetal and neonatal mortality in European countries were analysed for changes between 2004 and 2010. The Netherlands was compared with 26 other European countries and regions. International differences in registration and policy were taken into account using figures on foetal mortality starting at 28 weeks of pregnancy and neonatal mortality starting at 24 weeks of pregnancy. RESULTS: Foetal mortality in the Netherlands declined by 33%, from 4.3 per 1000 births in 2004 to 2.9 per 1000 births in 2010 while neonatal mortality declined by 21%, from 2.8 per 1000 live births in 2004 to 2.2 per 1000 live births in 2010. Perinatal mortality (the sum of foetal mortality and neonatal mortality) declined by 27%, from 7.0 to 5.1 per 1000. In the European ranking, the Netherlands shifted from 23rd to 13th place for foetal mortality; it remained the same for neonatal mortality (15th of 22 countries) and virtually the same for perinatal mortality (from 15th to 13th of 22 countries). CONCLUSIONS: Both foetal mortality at 28+ weeks and neonatal mortality at 24+ weeks declined in the Netherlands between 2004 and 2010. However, the relatively unfavourable position of the Netherlands in the European ranking for foetal and neonatal mortality improved only for foetal mortality. In that respect, the Netherlands holds an average position.

[Differences in perinatal mortality between districts of Amsterdam]. / Perinatale sterfteverschillen in Amsterdam.

OBJECTIVE: To study the effect of district on perinatal mortality in Amsterdam, the Netherlands, taking into account various risk factors including ethnicity and social economic status (SES). DESIGN: Cohort study. METHOD: The investigation related to 73,661 singleton births in Amsterdam, Diemen and Ouder-Amstel recorded in the Netherlands Perinatal Registry over the years 2000-2006. Logistic regression analysis was used to determine if perinatal mortality differed by district, taking into account various risk factors. RESULTS: Each year in Amsterdam an average of 10,525 singleton children were born of whom 114 infants died (10.8 per 1,000 births (‰)). National perinatal mortality was 9.9 ‰. In three districts, perinatal mortality was 1.5-2 times higher than the national average: Zuidoost (21‰), Slotervaart (14‰) and Zeeburg (14‰). However, mortality in the districts of ZuiderAmstel (5‰), Oud-Zuid (7‰), Centrum and Osdorp (8‰) was 20-50% lower. The high risk of perinatal mortality in the Zuidoost district (odds ratio: 2.1; 95% CI: 1.9-2.6) was explained by the high prevalence of women with higher risk factors; African or South Asian Surinamese ethnicity, low SES and preterm birth. The effects of parity and ethnicity on perinatal mortality differed by district. In Zeeburg increased effect for higher parity and for Turkish/Moroccan ethnicity was seen. In Slotervaart the perinatal mortality risk was increased (odds ratio: 1.8; 95% CI: 1.3-2.5), but this was not explained by the risk factors studied. CONCLUSION: Amsterdam had districts with both highly elevated and reduced perinatal mortality rates. The prevalence of risk factors differed by district and the effects of ethnicity and parity were not homogenous. Therefore, tailored policy and research by district is necessary.

[Differences between Dutch provinces in perinatal mortality and travel time to hospital]. / Provinciale verschillen in perinatale sterfte en reistijd tot ziekenhuis.

OBJECTIVE: To investigate differences in perinatal mortality between Dutch provinces and to determine the significance of risk factors including travel time from home to the hospital during labour. DESIGN: Cohort study. METHOD: The study was based on 1,242,725 singleton births in 2000-2006 as recorded in the Netherlands Perinatal Registry. The influence of province on perinatal mortality was estimated, with logistic regression analysis adjusting for risk factors (age, parity, ethnicity, socioeconomic status) and care factors such as start of antenatal care and travel time. RESULTS: The perinatal mortality rate in the Netherlands was 9.9 per 1000 births. The provinces with the highest mortality rates were Friesland (11.3‰), Groningen (11.1‰), Zeeland (10.6‰) and Flevoland (10.4‰). Noord-Brabant (9.2‰) and Limburg (9.2‰) had the lowest mortality rates. These differences were significantly higher for Friesland (odds ratio: 1.16; 95%-CI: 1.05-1.28) and Groningen (odds ratio: 1.13; 95%-CI: 1.02-1.26). Starting late with perinatal care, at 18 weeks of gestation or later was an important risk factor (adjusted odds ratio 1.8; 95%-CI: 1.7-1.8). Low socio-economic status could partly be associated with the higher mortality risk in Groningen. Longer travel time (≥ 20 minutes) was an independent risk factor associated with perinatal mortality. On average 19% of the women travelled ≥ 20 minutes to the hospital. In the provinces Groningen, Friesland, Flevoland and Zeeland these percentages ranged between 32 and 36%. The adjusted odds ratio of travel time was 1.7 (95%-CI 1.6-1.7). CONCLUSION: The perinatal mortality differs per province. This can be explained by longer travel time to the hospital during labour. Late start of perinatal care and low socio-economic status also affect the mortality rate. These risk factors need to be taken into account during registration, investigation, audit and obstetric policy.

Regional perinatal mortality differences in the Netherlands; care is the question.

BACKGROUND: Perinatal mortality is an important indicator of health. European comparisons of perinatal mortality show an unfavourable position for the Netherlands. Our objective was to study regional variation in perinatal mortality within the Netherlands and to identify possible explanatory factors for the found differences. METHODS: Our study population comprised of all singleton births (904,003) derived from the Netherlands Perinatal Registry for the period 2000-2004. Perinatal mortality including stillbirth from 22+0 weeks gestation and early neonatal death (0-6 days) was our main outcome measure. Differences in perinatal mortality were calculated between 4 distinct geographical regions North-East-South-West. We tried to explain regional differences by adjustment for the demographic factors maternal age, parity and ethnicity and by socio-economic status and urbanisation degree using logistic modelling. In addition, regional differences in mode of delivery and risk selection were analysed as health care factors. Finally, perinatal mortality was analysed among five distinct clinical risk groups based on the mediating risk factors gestational age and congenital anomalies. RESULTS: Overall perinatal mortality was 10.1 per 1,000 total births over the period 2000-2004. Perinatal mortality was elevated in the northern region (11.2 per 1,000 total births). Perinatal mortality in the eastern, western and southern region was 10.2, 10.1 and 9.6 per 1,000 total births respectively. Adjustment for demographic factors increased the perinatal mortality risk in the northern region (odds ratio 1.20, 95% CI 1.12-1.28, compared to reference western region), subsequent adjustment for socio-economic status and urbanisation explained a small part of the elevated risk (odds ratio 1.11, 95% CI 1.03-1.20). Risk group analysis showed that regional differences were absent among very preterm births (22+0 - 25+6 weeks gestation) and most prominent among births from 32+0 gestation weeks onwards and among children with severe congenital anomalies. Among term births (>or= 37+0 weeks) regional mortality differences were largest for births in women transferred from low to high risk during delivery. CONCLUSION: Regional differences in perinatal mortality exist in the Netherlands. These differences could not be explained by demographic or socio-economic factors, however clinical risk group analysis showed indications for a role of health care factors.