Inequalities In Perinatal Health Research Articles

Exploring racial inequalities in maternal mental health outcomes

Abstract Perinatal mental illness affects around 1 in 5 birthing people globally and is associated with adverse outcomes for those affected and their families. Such adverse outcomes are not inevitable and there is now good evidence for a range of both preventive and treatment interventions. There are well-documented inequalities in mental health outcomes across a range of social determinants, including race; such inequalities are also apparent during the perinatal period. There are also racial disparities in mental health care delivery during the perinatal period. Racial inequalities in perinatal mental health are now being recognized as key policy priorities in both the United States and the United Kingdom. This presentation will present routinely collected epidemiological data, investigating the drivers of these racial inequalities in access to perinatal mental health services and associated maternal and child outcomes. It also will present qualitative approaches to exploring current initiatives to reduce inequalities. Findings have the potential to inform the development of culturally sensitive interventions to promote equity in this area for underserved populations in the U.K., U.S., and elsewhere.

BARRIERS FACED BY REFUGEE WOMEN AND BIRTHING PEOPLE ACCESSING UK PERINATAL MENTAL HEALTH SERVICES

Refugee women and birthing people are at much higher risk of perinatal mental health disorders compared to the general population. Numerous barriers to accessing perinatal mental health services exist for this population, on individual, sociocultural, organisational and structural levels, contributing further to the risk of perinatal illness. Changes to care are crucial to reducing already widening perinatal mental health inequalities between refugee and host country service users.

Experiences of Racial Discrimination and Periconceptional Diet Quality

BackgroundRacism is a key determinant of perinatal health disparities. Poor diet may contribute to this effect, but research on racism and dietary patterns is limited. ObjectiveWe aimed to describe the relation between experiences of racial discrimination and adherence to the 2015‒2020 Dietary Guidelines for Americans. MethodsWe used data from a prospective pregnancy cohort study conducted at 8 United States medical centers (2010‒2013). At 6‒13 weeks of gestation, 10,038 nulliparous people with singleton pregnancies were enrolled. Participants completed a Block food frequency questionnaire, assessing usual diet in the 3 mo around conception, and the Krieger Experiences of Discrimination Scale, assessing the number of situational domains (e.g., at school and on the street) in which participants ever experienced racial discrimination. Alignment of dietary intake with the 2015–2020 Dietary Guidelines for Americans was assessed using the Healthy Eating Index (HEI)-2015. ResultsThe study showed that 49%, 44%, 35%, and 17% of the Asian, Black, Hispanic, and White participants reported experiences of racial discrimination in any domain. Most participants experienced discrimination in 1 or 2 situational domains. There were no meaningful differences in HEI-2015 total or component scores in any racial or ethnic group according to count of self-reported domains in which individuals experienced discrimination. For example, mean total scores were 57‒59 among Black, 61‒66 among White, 61‒63 among Hispanic, and 66‒69 among Asian participants across the count of racial discrimination domains. ConclusionsThis null association stresses the importance of going beyond interpersonal racial discrimination to consider the institutions, systems, and practices affecting racialized people to eliminate persistent inequalities in diet and perinatal health.

Maternal educational level and preterm birth: Exploring inequalities in a hospital-based cohort study.

Preterm birth has been related to inequalities in maternal educational level, but the causal mechanism is not entirely known. Some factors associated with preterm birth and low educational level such as chronic medical conditions, pregnancy complications and related-health behaviours could have a mediation role in the pathway. This study aimed to evaluate the association between maternal educational level and preterm birth, analysing the mediation role of these factors. We performed a retrospective cohort study based on hospital electronic records of 10467 deliveries that took place in the Hospital Clínic of Barcelona between 2011 and 2017. Poisson regression was used to obtain crude and adjusted relative risk of preterm birth in women with different educational level and the percentage of change in relative risk was calculated when mediation variables were included in the model. Women with a lower educational level had a higher risk of preterm birth (RR 1.57, 95% CI 1.21, 2.03). The loss of association after the inclusion of body mass index in the model suggests an important mediation role of maternal overweight. Other variables such as smoking, drug use, preeclampsia and genitourinary infections also appear to play a role in the observed inequality between women with different levels of education. Efforts to promote health literacy and to improve preventive interventions, before and during pregnancy, could decrease preterm birth rates and perinatal health inequalities.

Neighbourhood-related socioeconomic perinatal health inequalities: An illustration of the mediational g-formula and considerations for the big data context.

Advances in computing power have enabled the collection, linkage and processing of big data. Big data in conjunction with robust causal inference methods can be used to answer research questions regarding the mechanisms underlying an exposure-outcome relationship. The g-formula is a flexible approach to perform causal mediation analysis that is suited for the big data context. Although this approach has many advantages, it is underused in perinatal epidemiology and didactic explanation for its implementation is still limited. The aim of this was to provide a didactic application of the mediational g-formula by means of perinatal health inequalities research. The analytical procedure of the mediational g-formula is illustrated by investigating whether the relationship between neighbourhood socioeconomic status (SES) and small for gestational age (SGA) is mediated by neighbourhood social environment. Data on singleton births that occurred in the Netherlands between 2010 and 2017 (n=1,217,626) were obtained from the Netherlands Perinatal Registry and linked to sociodemographic national registry data and neighbourhood-level data. The g-formula settings corresponded to a hypothetical improvement in neighbourhood SES from disadvantaged to non-disadvantaged. At the population level, a hypothetical improvement in neighbourhood SES resulted in a 6.3% (95% confidence interval [CI] 5.2, 7.5) relative reduction in the proportion of SGA, that is the total effect. The total effect was decomposed into the natural direct effect (5.6%, 95% CI 5.1, 6.1) and the natural indirect effect (0.7%, 95% CI 0.6, 0.9). In terms of the magnitude of mediation, it was observed the natural indirect effect accounted for 11.4% (95% CI 9.2, 13.6) of the total effect of neighbourhood SES on SGA. The mediational g-formula is a flexible approach to perform causal mediation analysis that is suited for big data contexts in perinatal health research. Its application can contribute to providing valuable insights for the development of policy and public health interventions.

Social inequalities in perinatal health: association between markers of social deprivation and preterm delivery

Social inequalities in perinatal health: association between markers of social deprivation and preterm delivery

Creating a sense of urgency and provoking action – An example on the use of heat maps to address perinatal health inequalities

Health outcomes of mothers and their (unborn) children in the perinatal period, i.e., during pregnancy and shortly after birth, can vary by geographical location. This is often due to differences in exposure to medical and social risk factors. Policies aimed at reducing inequalities in perinatal health can provide significant long-term health benefits, especially for (unborn) children. However, a lack of insight into regional perinatal health inequalities means that perinatal health is not always a priority in policy formulation. Novel methods should be used to draw attention to these inequalities, spark interdisciplinary debate and encourage collaborative initiatives. In this commentary, we propose that the development of heat maps that visualize perinatal health outcomes, and risk factors for those outcomes, could be a valuable tool in doing this. Heat maps are a data visualization technique that uses color variations to emphasize value differences between areas. Visualizing health inequalities could potentially create a sense of urgency among (local) stakeholders to initiate polices aimed at improving perinatal health. We illustrate the targeted use of heat maps with an example from the city of Rotterdam, the Netherlands. Large perinatal health inequalities between neighborhoods were visualized in heat maps by a team from the Erasmus Medical Center to bring these inequalities to the attention of the municipality of Rotterdam. Local collaborative initiatives were set up to reduce perinatal health inequalities. These local initiatives formed the foundation for later national policies, including proposals to online implement heat maps regarding perinatal health topics, that are still ongoing today.

Socioeconomic differences in perinatal health outcomes: perinatal health surveillance through a health-equity prism

Abstract Background Socioeconomic status (SES) is strongly associated with perinatal health outcomes, perpetuating intergenerational health inequalities. Our aim was to assess the utility of population data in Europe to monitor social inequalities in key perinatal health indicators. Methods Using the PHIRI federated analysis protocol to aggregate routine birth data from across Europe, we collected data on selected perinatal health indicators by SES from 2015 to 2020. Mothers’ education level (primary/lower secondary; upper secondary; postsecondary) was the preferred SES indicator; if unavailable, parents’ occupation or area-based deprivation scores were provided. The International Standard Classification of Occupations was used to group parents’ occupations into 4 categories, while area-based deprivation scores were measured in quintiles. For each country, we calculated risk ratios (RR) for preterm birth, stillbirth, neonatal death and caesarean delivery (CD) comparing the most with the least disadvantaged group Results 17 countries provided data on maternal education, 5 on area-based deprivation, 1 on parents’ occupation and 2 could not provide data. For preterm birth, stillbirth and neonatal death, lower SES was associated with worse outcomes with most RR between lowest and highest groups in the range of 1.5 to 3.0. In contrast, in some countries, such as Croatia, Latvia, Lithuania and Spain, CD rates were higher for socially advantaged groups whereas the gradient was reversed in others (Denmark, Luxembourg, the Netherlands and Italy). Conclusions European countries can provide perinatal health indicators by SES, revealing marked socioeconomic inequalities in perinatal health. The differing SES gradient between countries for CD raise questions about care organization and clinical practice. Further exploration of the harmonization of differing SES measure across countries is required, while countries that do not monitor SES data should aim to improve existing systems.

Impact of the COVID-19 pandemic on perinatal health and perinatal health inequalities in Europe

Abstract Background The COVID-19 pandemic and lockdowns may adversely affect pregnancy outcomes due to disrupted healthcare provision and increased stress, anxiety and economic hardship. We assessed changes in perinatal outcomes in 2020 using population birth data in Europe. Methods 25 Countries in the Euro-Peristat Network implemented a federated analysis using routine national data. Countries generated anonymised aggregate data files using R scripts from individual-level data formatted to a common data model with 22 variables. We compared preterm birth, stillbirth, neonatal death and caesarean delivery rates in 2020 to 2015-2019 for 2 periods: full-year (FY) and pandemic (March-September [MS]). Data from October onward were not included in the MS period because potentially declining pandemic-related fertility may affect perinatal indicators. Country-specific relative risks (RR) for the periods, adjusted for linear trends, overall and by socio-economic (SES) group, were calculated and pooled using random effects meta-analysis. Results Preterm birth rates decreased slightly (pooled RR: 0.97FY [95% confidence interval (CI) 0.95-0.99]; 0.98MS [0.96-1.00]) in 2020. Heterogeneity was high (I2FY=85%; I2MS=70%), with 5 countries experiencing significant declines. Neonatal mortality rates were unchanged (0.97FY [0.92-1.01]) while stillbirth rates were higher (1.05FY [1.01; 1.09]; 1.10MS [1.02; 1.19]). Caesarean rates were slightly raised (1.02FY [1.00-1.03]; 1.02MS [0.99-1.04], 5 countries had significant increases). Increases for stillbirth were more pronounced in the lowest (1.08FY [0.99-1.16]) versus highest SES group (1.05 FY [0.93-1.17]). Conclusions In 2020, there was an unexpected decline in preterm birth in some countries, while increases in stillbirths and caesarean occurred in others. High country-level heterogeneity suggests that some government policies to mitigate the pandemic might have been more protective of pregnant women and newborns than others.

4.Q. Workshop: Showcasing PHIRI use case results measuring the impact of COVID-19 on population health

Abstract The COVID-19 pandemic has clearly demonstrated the urgent need for a cross-border and structured European mechanism to exchange, organise and access reliable health information between countries, especially in the area of population health. Population health information, defined by data on health status, health determinants and healthcare systems performance, allows for oriented research to increase the knowledge base in Europe and underpin political decision-making. Its exchange requires timely and topical provision of high-quality health information. There are many indirect effects of the COVID-19 pandemic that affect health through various pathways including secondary consequences on health and wellbeing due to delayed prevention, diagnosis and medical treatment. Within the Population Health Information Research Infrastructure (PHIRI) we look at four use cases measuring the impact of COVID-19 on population health and demonstrating how a broad variety of routine data can be pooled and/or used for secondary analysis in a distributed way across Europe aiming to facilitate research by making scalable, reproducible methods available. These use cases represent pilot activities for the benefits and added value of an infrastructure supporting federated analysis by bringing together data from different European countries and feeding the results into the federated research infrastructure. In over 20 data hubs, data is mobilised and ready to be analysed in a distributed manner. The use case outputs will be processed in an interoperable way by formalising data models, data management processes and analytical pipelines, all of which are part of the client-server PHIRI federated infrastructure implemented as here 10.5281/zenodo.6483177. The workshop aims to ensure a better understanding of COVID-19 impacts in specific subgroups and risk settings by conducting research through real-life use cases of immediate relevance. The FAIRified use cases analysis results focusing on comparisons between countries are presented and provide actionable outcomes to guide policy makers in preparedness and response scenarios. Knowledge and expertise developed across Europe is shared in this workshop. The four presentations will focus on selected aspects of COVID-19 impacts on population health. The first presentation will be on direct and indirect determinants of COVID-19 infection and outcomes in vulnerable population groups with reference to inequalities. This will be followed by a contribution of COVID-19 related delayed care in breast cancer patients. The third presentation looks at the impacts of COVID-19 on perinatal health inequalities followed by the fourth on insights in COVID-19 related changes in population mental health. Exchange with the audience will facilitate knowledge and opinion exchange through an interactive Mentimeter poll during the session. Key messages • The results will support the exchange of knowledge and expertise by facilitating insights in the impacts of COVID-19 in specific subgroups and risk settings compared across European countries. • Actionable outcomes to guide political decision-making in preparedness and response scenarios will be provided.

Perinatal Health Inequalities in the Industrial Region of Estonia: A Birth Registry-Based Study.

Despite the increasing number of studies on industrially contaminated sites (ICS) and their health effects, there are very few studies on perinatal health outcomes in ICSs. In the present study, we examined the perinatal health inequalities by comparing adverse birth outcomes (ABOs) in the oil shale industry region of Ida-Viru County in Estonia with national-level figures and investigated the effects of maternal environmental and sociodemographic factors. Based on the 208,313 birth records from 2004–2018, Ida-Viru ICS has a birth weight 124.5 g lower than the average of 3544 g in Estonia. A higher prevalence of preterm birth (4.3%) and low birth weight (4.8%) in Ida-Viru ICS is found compared to 3.3% on both indicators at the national level. Multiple logistic regression analysis shows the statistically significant association of ABOs with fine particle (PM2.5) air pollution, mother’s ethnicity, and education throughout Estonia. However, in Ida-Viru ICS, the ABOs odds are remarkably higher in these characteristics except for the mother’s ethnicity. Furthermore, the ABOs are associated with the residential proximity to ICS. Thus, the Ida-Viru ICS has unequally higher odds of adverse perinatal health across the environmental and sociodemographic factors. In addition to reducing the air pollutants, policy actions on social disparities are vital to address the country’s unjustly higher perinatal health inequalities, especially in the Ida-Viru ICS.

Ability of municipality-level deprivation indices to capture social inequalities in perinatal health in France: A nationwide study using preterm birth and small for gestational age to illustrate their relevance

BackgroundEvidence-based policy-making to reduce perinatal health inequalities requires an accurate measure of social disparities. We aimed to evaluate the relevance of two municipality-level deprivation indices (DIs), the French-Deprivation-Index (FDep) and the French-European-Deprivation-Index (FEDI) in perinatal health through two key perinatal outcomes: preterm birth (PTB) and small-for-gestational-age (SGA).MethodsWe used two data sources: The French National Perinatal Surveys (NPS) and the French national health data system (SNDS). Using the former, we compared the gradients of the associations between individual socioeconomic characteristics (educational level and income) and “PTB and SGA” and associations between municipality-level DIs (Q1:least deprived; Q5:most deprived) and “PTB and SGA”. Using the SNDS, we then studied the association between each component of the two DIs (census data, 2015) and “PTB and SGA”. Adjusted odds ratios (aOR) were estimated using multilevel logistic regression with random intercept at the municipality level.ResultsIn the NPS (N = 26,238), PTB and SGA were associated with two individual socioeconomic characteristics: maternal educational level (≤ lower secondary school vs. ≥ Bachelor’s degree or equivalent, PTB: aOR = 1.43 [1.22–1.68], SGA: (1.31 [1.61–1.49]) and household income (< 1000 € vs. ≥ 3000 €, PTB: 1.55 [1.25–1.92], SGA: 1.69 [1.45–1.98]). For both FDep and FEDI, PTB and SGA were more frequent in deprived municipalities (Q5: 7.8% vs. Q1: 6.3% and 9.0% vs. 5.9% for PTB, respectively, and 12.0% vs. 10.3% and 11.9% vs. 10.2% for SGA, respectively). However, after adjustment, neither FDep nor FEDI showed a significant gradient with PTB or SGA. In the SNDS (N = 726,497), no FDep component, and only three FEDI components were significantly associated (specifically, the % of the population with ≤ lower secondary level of education with both outcomes (PTB: 1.5 [1.15–1.96]); SGA: 1.25 [1.03–1.51]), the % of overcrowded (i.e., > 1 person per room) houses (1.63 [1.15–2.32]) with PTB only, and unskilled farm workers with SGA only (1.52 [1.29–1.79]).ConclusionSome components of FDep and FEDI were less relevant than others for capturing ecological inequalities in PTB and SGA. Results varied for each DI and perinatal outcome studied. These findings highlight the importance of testing DI relevance prior to examining perinatal health inequalities, and suggest the need to develop DIs that are suitable for pregnant women.

Associations between socioeconomic status and pregnancy outcomes: a greater magnitude of inequalities in perinatal health in Montreal than in Brussels

BackgroundComparing health inequalities between countries helps us to highlight some factors specific to each context that contribute to these inequalities, thus contributing to the identification of courses of action likely to reduce them. This paper compares the associations between socioeconomic status (SES) and 1) low birth weight (LBW) and 2) preterm birth, in Brussels and Montreal (in general population, natives-born mothers, and immigrant mothers).MethodsA population-based study examining associations between SES and pregnancy outcomes was conducted in each city, using administrative databases from Belgian and Quebec birth records (N = 97,844 and 214,620 births in Brussels and Montreal, respectively). Logistic regression models were developed in order to estimate the relationship between SES (maternal education and income quintile) and pregnancy outcomes, in each region. The analyses were first carried out for all births, then stratified according to the mother’s origin.ResultsFor the general population, SES is associated with LBW and preterm birth in both regions, except for income and preterm birth in Brussels. The association is stronger for mothers born in Belgium and Canada than for those born abroad. The main difference between the two regions concerns the magnitude of inequalities in perintal health, which is greater in Montreal than in Brussels among the general population. For native-born mothers, the magnitude of inequalities in perinatal health is also greater for mothers born in Canada than for those born in Belgium, except for the association between income and preterm birth. The socioeconomic gradient in perinatal health is less marked among immigrant mothers than native mothers.ConclusionSignificant differences in inequalities in perinatal health are observed between Brussels and Montreal. These differences can be explained by : on the one hand, the existence of greater social inequalities in Montreal than in Brussels and, on the other hand, the lower vulnerability of immigrants with low SES in Brussels. Future studies seeking to understand the mechanisms that lead to inequalities in health in different contexts should take into account a comparison of immigration and poverty contexts, as well as the public policies related to these factors.

Country of birth as a potential determinant of inadequate antenatal care use among women giving birth in Brussels. A cross-sectional study.

One of the mechanisms explaining perinatal health inequalities could be inadequate antenatal care among some immigrant groups. Few European studies compared antenatal care use between different groups of immigrants taking into account individual characteristics. This research investigates the associations of three birth regions with the use of antenatal care, by also considering socioeconomic and migration-related determinants. We included 879 mothers born in Belgium, North Africa, and Sub-Saharan Africa, and interviewed them in four Brussels hospitals after they gave birth, using an adapted version of the Migrant-Friendly Maternity Care Questionnaire. We additionally collected clinical data from hospital records. We carried out descriptive analyses and ran univariate and multivariable logistic regression models to estimate the associations of socioeconomic and migration characteristics with a) late start of antenatal care and b) less than minimum recommended number of consultations. The vast majority of women in this study had adequate care in terms of timing (93.9%), frequency of consultations (82.2%), and self-reported access (95.9%). Region of birth was an independent risk factor for late initiation of care, but not for infrequent consultations. Women born in Sub-Saharan Africa were more prone to accessing care late (OR 3.3, 95%CI 1.5-7.7), but were not more at risk of infrequent consultations. Women born in North Africa, had similar adequacy of care compared to the Belgium-born population. The three groups also differed in terms of socioeconomic profiles and socioeconomic predictors of antenatal care use. Housing type, professional activity, and health insurance status were important predictors of both outcomes. This study showed that the region of birth was partly associated with adequacy of care, in terms of initiation, but not number of consultations. Further dimensions of adequacy of care (content, quality) should be studied in the future. Socioeconomic factors are also key determinants of antenatal care use.

Implicit biases and differential perinatal care for migrant women: Methodological framework and study protocol of the BiP study part 3✰,✰✰

BackgroundThe mechanisms of disparities in maternal and perinatal health between migrant and native women are multiple and remain poorly understood. Access to and quality of care are likely to participate in these mechanisms, and one hypothesis is the existence of implicit biases among caregivers through which ethno-racial belonging can influence medical decisions and consequently engender healthcare disparities. Their existence and their role in the generation of non-medically justified differential care have been documented in the United States apart from perinatal care, but remain largely unexplored in Europe.In this article, we present the study protocol and theoretical framework of a study that aims to test and quantify the existence of implicit bias toward African Sub-Saharan migrant women among caregivers working in the perinatal field, and to explore the association between implicit bias and differential care. Material and methodsThis study is based on an online survey to which French obstetricians, midwives, and anesthetists were invited to take part. The potential existence of implicit biases toward African Sub-Saharan migrant will be quantified through a validated tool, the Implicit Association Test. Then we will assess how implicit biases are likely to influence clinical decisions and lead to differential care using clinical vignettes designed by an experts group. DiscussionImplicit bias and differential care are concept that are tricky to capture and interpret. This research program opens up in France a field of research on certain forms of health discriminations and sheds new light on the issue of social inequalities in perinatal health. Study registrationRegistration in the Open Science Framework portal: https://osf.io/djva7/?view_only=c6012ace3fe94165a65b05c2dc6aff9e

The Biopsychosocial Model and Perinatal Health Care: Determinants of Perinatal Care in a Community Sample.

Insufficient care in the perinatal period is associated with poorer maternal health, poorer perinatal outcomes, infant mortality, and health inequalities. Identifying the sources of and reducing the rates of insufficient care is therefore a major clinical and public health objective. We propose a specific application of the biopsychosocial model that conceptualizes prenatal and postpartum care quality as health markers that are influenced by psychological factors and family and social context. Clinic attendance data were abstracted from the electronic medical records of N = 291 participants enrolled in a longitudinal pregnancy cohort study of healthy women who have been followed since the first trimester; the Kotelchuck Index (KI) was calculated as an index of perinatal care utilization. Detailed prenatal psychological, social, and sociodemographic data were collected from self-report questionnaire and interview. Bivariate analyses indicated socio-demographic (e.g., race), psychological (e.g., response to perceived racism, affective symptoms, trauma experience), and social and family context (e.g., social support, family size) significantly influenced pre- and post-natal care utilization. Multivariate logistic regression analyses, adjusting for medical complications, identified social and family context as robust predictors of perinatal care utilization. The findings underscore the need for biopsychosocial models of health care and highlight several potential strategies for improving health care utilization.

Associations between community health workers’ home visits and education-based inequalities in institutional delivery and perinatal mortality in rural Uttar Pradesh, India: a cross-sectional study

IntroductionIndia’s National Health Mission has trained community health workers called Accredited Social Health Activists (ASHAs) to visit and counsel women before and after birth. Little is known about the extent...

Health Agency and Perfectionism: The Case of Perinatal Health Inequalities.

Poor pregnancy outcomes and inequalities in these outcomes remain a major challenge, even in prosperous societies that have high-quality health care and public health policy in place. In this article, we propose that justice demands the improvement of what we call the ‘health agency’ of parents-to-be as part of a response to these poor outcomes. We take health agency to have three aspects: (i) the capacity to form health-goals one has reason to value, (ii) the control one perceives to have over achieving those health-goals and (iii) the freedom(s) one has to achieve those health-goals. We will moreover argue that this demand of justice can be best based on a perfectionist rather than neutralist method of justification. Subsequently, we will argue that perfectionist policy may be paternalistic but not wrongfully paternalistic. This leads us to conclude that perfectionism should be adopted to inform and justify public health policy that is aimed at improving health agency in general and counteracting poor pregnancy outcomes and inequalities in perinatal health outcomes in particular.

Converging or diverging trajectories of mortality under one year of age in the Baltic States: a comparison with the European Union

BackgroundInformation about trends in perinatal and child health inequalities is scarce, especially in the Eastern Europe. We analyzed how mortality under 1 year of age has been changing in the Baltic States and the European Union (EU) over 25 years, and what associations occurred between changes in macroeconomic factors and mortality.MethodsData on fetal, neonatal, infant mortality, and macroeconomic factors were extracted from WHO database. Joinpoint regression analysis was performed to analyze time trajectories of mortality over 1990–2014. We also investigated how the changes in health expenditures and Gross Domestic Product (GDP) contributed to the changes in mortality.ResultsThe reduction of fetal, neonatal and infant mortality in the Baltic countries led to convergence with the EU. In Estonia this process was the fastest, and then the rates tended to diverge. The strongest effect in reduction of neonatal mortality was related to the annual increase in health expenditure and GDP which had occurred in the same year, and a decrease in fetal mortality associated with an increase in health expenditure and GDP in the 4th and 5th year, respectively, following the initial change.ConclusionsThese findings outlined convergences and divergences in mortality under 1 year of age in the Baltic States compared with the patterns of the EU. Our data highlighted a need to define health policy directions aimed at the implementation of effective intervention modalities addressing reduction of risks in prenatal and early life.

Mothers’ experiences of perinatal care in Belgian public hospitals: exploring the social inequalities. Protocol for a cross-sectional survey

IntroductionIn Europe, the social inequalities in perinatal health are usually found to be to the disadvantage of non-European immigrants and women with lower levels of education and income. Among the...