Objective To compare the prevalence of pre-eclampsia in migrant women with Norwegian women, and to study the prevalence of pre-eclampsia by length of residence in Norway.Design Observational study.Setting The Medical Birth Registry of Norway.Population All Norwegian, Pakistani, Vietnamese, Somali, Sri Lankan, Filipino, Iraqi, Thai and Afghan women who gave birth after 20 weeks of gestation during the period 1986-2005 in Norway.Methods The prevalence of pre-eclampsia was calculated by country of birth. The association of country of birth and length of residence in Norway with pre-eclampsia was estimated as the odds ratio (OR) with 95% confidence interval (CI), using Norwegian women as a reference. We made adjustments for maternal age, parity, multifetal pregnancy, year of delivery and maternal diabetes in multivariable analysis.Main outcome measure Pre-eclampsia.Results Migrant women had a lower prevalence of pre-eclampsia than Norwegian women (2.7% versus 3.7%, P < 0. Conclusions The risk of pre-eclampsia was lower in migrants relative to Norwegian women, but increased by length of residence in Norway.

We received funding from the South-Eastern Regional Health Authority in Norway for this study (2011136-2012). None of the authors has any conflicts of interest to declare.

BackgroundA large number of women from countries with a high perinatal mortality rate (PMR) settle in countries with a low PMR. We compared the PMRs for migrants in Norway with the PMRs in their countries of birth. We also assessed the risk of perinatal death in offspring of migrant women as compared to offspring of Norwegian women.MethodsThe Medical Birth Registry of Norway and the Norwegian Central Person Registry provided data on births in Norway during the years 1986 to 2005 among all women born in Norway, Pakistan, Vietnam, Somalia, Sri Lanka, Philippines, Iraq, Thailand and Afghanistan. Information on the PMRs in the countries of birth was obtained from the World Health Organisation (WHO) for the years 1995, 2000 and 2004. Mean PMRs in Norway during 1986–2005 were calculated by mother’s country of birth, and the risks of perinatal death by country of birth were estimated as odds ratios (OR) using Norwegian women as the reference. Adjustments were made for mother’s age, plurality, parity, year of birth and gestational age at birth.ResultsThe PMRs for migrants in Norway were lower than in their countries of birth. The largest difference was in Afghan women (97 deaths per 1000 births in Afghanistan versus 24 deaths per 1000 births in Afghan women in Norway), followed by Iraqi and Somali women. As compared with Norwegian women, the adjusted odds ratio (OR) of perinatal death was highest for Afghan (OR 4.01 CI: 2.40 – 6.71), Somali (OR 1.83 CI: 1.44 - 2.34) and Sri Lankan (OR 1.76 CI: 1.36 – 2.27) women.ConclusionsThe lower PMRs for migrants in Norway as compared to the PMRs in their countries of birth may be explained by access to better health care after migration. The increased risk of perinatal death in migrants as compared to Norwegians encourages further research.

Abstract.  This article investigates the impact of party ideology on revenue politics. Theoretically, claims can be made that party ideology should matter for revenue policies. First, leftist governments are more favourable towards government intervention and a large public sector. To accomplish this, leftist governments need more revenue than bourgeois governments. Second, revenue policy is a redistributive policy area well suited for ideological positioning. However, the claim that party ideology does not matter can also be made since raising revenue is unpopular and politicians may shy away from new initiatives. Empirically, the question is unsettled. The article investigates the problem by looking at three revenue policy areas (income and property taxation, and user charges) in two countries (Denmark and Norway). The data used is from the municipal level, providing several hundreds of units to compare. The evidence favours the ‘parties matter’ argument, particularly in the Danish case.

BackgroundThere has been a marked increase in the number of Caesarean sections in many countries during the last decades. In several countries, Caesarean sections are carried out in more than 20 per cent of births. These high Caesarean section rates give cause for concern, both from an economic and a medical perspective. A general opinion among epidemiologists is that the increase in the number of Caesarean sections during the last decade has been greater than could be expected in relation to medical risk factors. Therefore, other explanations must be sought. We studied one potential explanation; the effect that the increase in hospital revenue per bed during the period 1976-2005 has had on the Caesarean section rate in Norway. During this period, hospital revenue increased by about 260% (adjusted for inflation).MethodsThe analyses were carried out using data from the Medical Birth Registry 1976-2005 from Norway. The data were merged with data about hospital revenue, which were obtained from Statistics Norway. The analyses were carried out using annual data from 46 hospitals. A fixed effect regression model was estimated. Relevant medical control variables were included.ResultsThe elasticity of the Caesarean section rate with respect to hospital revenue per bed was 0.13 (p < 0.05). This represents an increase in the Caesarean section rate from the basis year 1976 to the final year 2005 of about 35 per cent. Most of the variables measuring characteristics of the health status of the mother and child had the expected effects.ConclusionThe increase in hospital revenue explains only a small part of the increase in the Caesarean section rate in Norway during the last three decades. The increase in the Caesarean section rate is considerably greater than could be expected, based on the increase in hospital revenue alone. The strength of our study is that we have estimated a cause and effect relationship. This was done by using fixed effects for hospitals, a lagged revenue variable and by including an extensive set of control variables for the risk factors of the mother and the baby.