Public support for smoke-free private indoor and public outdoor areas in the Netherlands: A trend analysis from 2018-2022.

INTRODUCTION: In addition to smoke-free policies in indoor public and workplaces, governments increasingly implement smoke-free policies at beaches, in parks, playgrounds and private cars ('novel smoke-free policies'). An important element in the implementation of such policies is public support. In the context of the ambition of the Netherlands to reach a smoke-free generation by 2040, we investigated temporal changes in public support for novel smoke-free policies. METHODS: We analyzed annual cross-sectional questionnaires in a representative sample of the Dutch population from 2018 to 2022. Multivariable logistic regression was applied to model public support for each smoke-free policy area as a function of time (calendar year), smoking status, gender, and socioeconomic status. Interaction terms were added for time with smoking status and with socioeconomic status. RESULTS: A total of 5582 participant responses were included. Between 2018 and 2022, support increased most for smoke-free policies regarding train platforms (+16%), theme parks (+12%), beaches (+10%), and terraces (+10%). In 2022, average support was higher than 65% for all categories of smoke-free places and highest for private cars with children (91%). Regression analyses indicated significant increases in support over time within each category of smoke-free places (adjusted odds ratio, AOR between 1.09 and 1.17 per year), except smoke-free private cars with children (AOR=0.97; 95% CI: 0.89-1.05). Regardless of smoking status, support was high for places where children often go. CONCLUSIONS: Support for novel smoke-free places in the Netherlands is high and increasing, in particular for places frequented by children. This indicates the potential to implement such measures in the Netherlands.

Socio-economic inequalities in smoking and drinking in adolescence: Assessment of social network dynamics.

AIMS: We investigated whether (1) adolescents selected friends with a similar socio-economic status (SES), (2) smoking and alcohol consumption spread in networks and (3) the exclusion of non-smokers or non-drinkers differed between SES groups. DESIGN: This was a longitudinal study using stochastic actor-oriented models to analyze complete social network data over three waves. SETTING: Eight Hungarian secondary schools with socio-economically diverse classes took part. PARTICIPANTS: This study comprised 232 adolescents aged between 14 and 15 years in the first wave. MEASUREMENTS: Self-reported smoking behavior, alcohol consumption behavior and friendship ties were measured. SES was measured based upon entitlement to an income-tested regular child protection benefit. FINDINGS: Non-low-SES adolescents were most likely to form friendships with peers from their own SES group [odds ratio (OR) = 1.07, 95% confidence interval (CI) = 1.02-1.11]. Adolescents adjusted their smoking behavior (OR = 24.05, 95% CI = 1.27-454.86) but not their alcohol consumption (OR = 1.65, 95% CI = 0.62-4.39) to follow the behavior of their friends. Smokers did not differ from non-smokers in the likelihood of receiving a friendship nomination (OR = 0.98, 95% CI = 0.87-1.10), regardless of their SES. Alcohol consumers received significantly more friendship nominations than non-consumers (OR = 1.16, 95% CI = 1.01-1.33), but this association was not significantly different according to SES. CONCLUSIONS: Hungarian adolescents appear to prefer friendships within their own socio-economic status group, and smoking and alcohol consumption spread within those friendship networks. Socio-economic groups do not differ in the extent to which they encourage smoking or alcohol consumption.

Maternal Migration Background and Mortality Among Infants Born Extremely Preterm.

Importance: Extremely preterm infants require care provided in neonatal intensive care units (NICUs) to survive. In the Netherlands, a decision is made regarding active treatment between 24 weeks 0 days and 25 weeks 6 days after consultation with the parents. Objective: To investigate the association between maternal migration background and admissions to NICUs and mortality within the first year among extremely preterm infants. Design, Setting, and Participants: This cross-sectional study linked data of registered births in the Netherlands with household-level income tax records and municipality and mortality registers. Eligible participants were households with live births at 24 weeks 0 days to 25 weeks 6 days gestation between January 1, 2010, and December 31, 2017. Data linkage and analysis was performed from March 1, 2020, to June 30, 2023. Exposure: Maternal migration background, defined as no migration background vs first- or second-generation migrant mother. Main Outcomes and Measures: Admissions to NICUs and mortality within the first week, month, and year of life. Logistic regressions were estimated adjusted for year of birth, maternal age, parity, household income, sex, gestational age, multiple births, and small for gestational age. NICU-specific fixed effects were also included. Results: Among 1405 live births (768 male [54.7%], 546 [38.9%] with maternal migration background), 1243 (88.5%) were admitted to the NICU; 490 of 546 infants (89.7%) born to mothers with a migration background vs 753 of 859 infants (87.7%) born to mothers with no migration background were admitted to NICU (fully adjusted RR, 1.03; 95% CI, 0.99-1.08). A total of 652 live-born infants (46.4%) died within the first year of life. In the fully adjusted model, infants born to mothers with a migration background had lower risk of mortality within the first week (RR, 0.81; 95% CI, 0.66-0.99), month (RR, 0.84; 95% CI, 0.72-0.97), and year of life (RR, 0.85; 95% CI, 0.75-0.96) compared with infants born to mothers with no migration background. Conclusions: In this nationally representative cross-sectional study, infants born to mothers with a migration background at 24 weeks 0 days to 25 weeks 6 days of gestation in the Netherlands had lower risk of mortality within the first year of life than those born to mothers with no migration background, a result that was unlikely to be explained by mothers from different migration backgrounds attending different NICUs or differential preferences for active obstetric management across migration backgrounds. Further research is needed to understand the underlying mechanisms driving these disparities, including parental preferences for active care of extremely preterm infants.

Associations between primary healthcare and infant health outcomes: a cohort analysis of low-income mothers in Rio de Janeiro, Brazil.

Background: Expanding primary healthcare to urban poor populations is a priority in many low-and middle-income countries and is essential to achieve universal health coverage (UHC). Between 2008 and 2016 the city of Rio de Janeiro undertook an ambitious programme to rapidly expand primary care to low-income areas through the family health strategy (FHS). Infant health impacts of this roll out are unknown. This study examines associations between maternal FHS utilisation and birth outcomes, neonatal and infant mortality. Methods: A cohort of 75,339 live births (January 2009-December 2014) to low-income mothers in Rio de Janeiro was linked to primary care, birth, hospital and death records. The relationship between maternal FHS use and infant health outcomes was assessed through logistic regression with inverse probability treatment weighting and regression adjustment. Socioeconomic inequalities in the associations between FHS use and outcomes were explored through interactions. Primary outcomes were neonatal and infant death. Thirteen secondary outcomes were also examined to explore other important health outcomes and potential mechanisms. Results: A total of 9002 (12.0%) infants were born to mothers in the cohort who used FHS services either before pregnancy or in the first two trimesters. There was a total of 527 neonatal and 893 infant deaths. Maternal FHS usage during the first two trimesters was associated with substantial reductions in neonatal [adjusted odds ratio (aOR): 0.527, 95% confidence interval (95% CI): 0.345; 0.806] and infant mortality (aOR: 0.672, 95% CI: 0.48; 0.924). Infants born to lower-income mothers and those without formal employment had larger reductions in neonatal and infant mortality associated with FHS use. Maternal FHS in the first two trimesters use was also associated with more antenatal care consultations and a lower risk of low birth weight and preterm birth. Interpretation: Expanding primary care to low-income populations in Rio de Janeiro was associated with improved infant health and health equity benefits. Funding: DFID/MRC/Wellcome Trust/ESRC.

Public support for smoke-free policies in outdoor areas and (semi-)private places: a systematic review and meta-analysis.

Background: Smoke-free policies are essential to protect people against tobacco smoke exposure. To successfully implement smoke-free policies that go beyond enclosed public places and workplaces, public support is important. We undertook a comprehensive systematic review of levels and determinants of public support for indoor (semi-)private and outdoor smoke-free policies. Methods: In this systematic review and meta-analysis, six electronic databases were searched for studies (published between 1 January 2004 and 19 January 2022) reporting support for (semi-)private and outdoor smoke-free policies in representative samples of at least 400 respondents aged 16 years and above. Two reviewers independently extracted data and assessed risk of bias of individual reports using the Mixed Methods Appraisal Tool. The primary outcome was proportion support for smoke-free policies, grouped according to location covered. Three-level meta-analyses, subgroup analyses and meta-regression were performed. Findings: 14,749 records were screened, of which 107 were included; 42 had low risk of bias and 65 were at moderate risk. 99 studies were included in the meta-analyses, reporting 326 measures of support from 896,016 individuals across 33 different countries. Support was pooled for indoor private areas (e.g., private cars, homes: 73%, 95% confidence interval (CI): 66-79), indoor semi-private areas (e.g., multi-unit housing: 70%, 95% CI: 48-86), outdoor hospitality areas (e.g., café and restaurant terraces: 50%, 95% CI: 43-56), outdoor non-hospitality areas (e.g., school grounds, playgrounds, parks, beaches: 69%, 95% CI: 64-73), outdoor semi-private areas (e.g., shared gardens: 67%, 95% CI: 53-79) and outdoor private areas (e.g., private balconies: 41%, 95% CI: 18-69). Subcategories showed highest support for smoke-free cars with children (86%, 95% CI: 81-89), playgrounds (80%, 95% CI: 74-86) and school grounds (76%, 95% CI: 69-83). Non-smokers and ex-smokers were more in favour of smoke-free policies compared to smokers. Support generally increased over time, and following implementation of each smoke-free policy. Interpretation: Our findings suggested that public support for novel smoke-free policies is high, especially in places frequented by children. Governments should be reassured about public support for implementation of novel smoke-free policies. Funding: Dutch Heart Foundation, Lung Foundation Netherlands, Dutch Cancer Society, Dutch Diabetes Research Foundation and Netherlands Thrombosis Foundation.

Examining neighborhood effects on mental health utilizing a novel two-stage modeling approach.

PURPOSE: Neighborhood conditions may affect health, but health may also determine a preference for where to live. This study estimates the effect of neighborhood characteristics on mental health while aiming to adjust for this residential self-selection. METHODS: A two-step method was implemented using register data from Statistics Netherlands from all residents of the city of Rotterdam relocating within the city in 2013 (N = 12,456). First, using a conditional logit model, we estimated for each individual the probability of relocating to a neighborhood over all other neighborhoods in Rotterdam, based on personal and neighborhood characteristics in 2013. Second, we corrected this selection process in a model investigating the effects of neighborhood characteristics in 2014 on reimbursed anti-depressant or anti-psychotic medication in 2016. RESULTS: Personal and neighborhood characteristics predicted neighborhood choice, indicating strong patterns of selection into neighborhoods. Unadjusted for selection log neighborhood income was associated with reimbursed medication (ß = -0.040, 95% CI = -0.060, -0.020), but the association strongly attenuated after controlling for self-selection into neighborhoods (ß = -0.010, 95% CI = -0.030, 0.011). The opposite was observed for contact with neighbors; unadjusted for self-selection there was no association (ß = -0.020, 95% CI = -0.073, 0.033), but after adjustment increased neighborhood contact was associated with an 8.5% relative reduction in reimbursed medication (ß = -0.075, 95% CI = -0.126, -0.025). CONCLUSIONS: The method illustrated in this study offers new opportunities to disentangle selection from causation in neighborhood health research.

Diagnostic Accuracy of Portable, Handheld Point-of-Care Tests vs Laboratory-Based Bilirubin Quantification in Neonates: A Systematic Review and Meta-analysis.

Importance: Quantification of bilirubin in blood is essential for early diagnosis and timely treatment of neonatal hyperbilirubinemia. Handheld point-of-care (POC) devices may overcome the current issues with conventional laboratory-based bilirubin (LBB) quantification. Objective: To systematically evaluate the reported diagnostic accuracy of POC devices compared with LBB quantification. Data Sources: A systematic literature search was conducted in 6 electronic databases (Ovid MEDLINE, Embase, Web of Science Core Collection, Cochrane Central Register of Controlled Trials, CINAHL, and Google Scholar) up to December 5, 2022. Study Selection: Studies were included in this systematic review and meta-analysis if they had a prospective cohort, retrospective cohort, or cross-sectional design and reported on the comparison between POC device(s) and LBB quantification in neonates aged 0 to 28 days. Point-of-care devices needed the following characteristics: portable, handheld, and able to provide a result within 30 minutes. This study was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guideline. Data Extraction and Synthesis: Data extraction was performed by 2 independent reviewers into a prespecified, customized form. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Meta-analysis was performed of multiple Bland-Altman studies using the Tipton and Shuster method for the main outcome. Main Outcomes and Measures: The main outcome was mean difference and limits of agreement in bilirubin levels between POC device and LBB quantification. Secondary outcomes were (1) turnaround time (TAT), (2) blood volumes, and (3) percentage of failed quantifications. Results: Ten studies met the inclusion criteria (9 cross-sectional studies and 1 prospective cohort study), representing 3122 neonates. Three studies were considered to have a high risk of bias. The Bilistick was evaluated as the index test in 8 studies and the BiliSpec in 2. A total of 3122 paired measurements showed a pooled mean difference in total bilirubin levels of -14 µmol/L, with pooled 95% CBs of -106 to 78 µmol/L. For the Bilistick, the pooled mean difference was -17 µmol/L (95% CBs, -114 to 80 µmol/L). Point-of-care devices were faster in returning results compared with LBB quantification, whereas blood volume needed was less. The Bilistick was more likely to have a failed quantification compared with LBB. Conclusions and Relevance: Despite the advantages that handheld POC devices offer, these findings suggest that the imprecision for measurement of neonatal bilirubin needs improvement to tailor neonatal jaundice management.

Consortium for the Study of Pregnancy Treatments (Co-OPT): An international birth cohort to study the effects of antenatal corticosteroids.

BACKGROUND: Antenatal corticosteroids (ACS) are widely prescribed to improve outcomes following preterm birth. Significant knowledge gaps surround their safety, long-term effects, optimal timing and dosage. Almost half of women given ACS give birth outside the "therapeutic window" and have not delivered over 7 days later. Overtreatment with ACS is a concern, as evidence accumulates of risks of unnecessary ACS exposure. METHODS: The Consortium for the Study of Pregnancy Treatments (Co-OPT) was established to address research questions surrounding safety of medications in pregnancy. We created an international birth cohort containing information on ACS exposure and pregnancy and neonatal outcomes by combining data from four national/provincial birth registers and one hospital database, and follow-up through linked population-level data from death registers and electronic health records. RESULTS AND DISCUSSION: The Co-OPT ACS cohort contains 2.28 million pregnancies and babies, born in Finland, Iceland, Israel, Canada and Scotland, between 1990 and 2019. Births from 22 to 45 weeks' gestation were included; 92.9% were at term (≥ 37 completed weeks). 3.6% of babies were exposed to ACS (67.0% and 77.9% of singleton and multiple births before 34 weeks, respectively). Rates of ACS exposure increased across the study period. Of all ACS-exposed babies, 26.8% were born at term. Longitudinal childhood data were available for 1.64 million live births. Follow-up includes diagnoses of a range of physical and mental disorders from the Finnish Hospital Register, diagnoses of mental, behavioural, and neurodevelopmental disorders from the Icelandic Patient Registers, and preschool reviews from the Scottish Child Health Surveillance Programme. The Co-OPT ACS cohort is the largest international birth cohort to date with data on ACS exposure and maternal, perinatal and childhood outcomes. Its large scale will enable assessment of important rare outcomes such as perinatal mortality, and comprehensive evaluation of the short- and long-term safety and efficacy of ACS.

Does Neighborhood Crime Mediate the Relationship Between Neighborhood Socioeconomic Status and Birth Outcomes? An Application of the Mediational G-Formula.

While the link between living in a low-socioeconomic status (SES) neighborhood and higher risk of adverse birth outcomes has been well established, the underlying mechanisms remain poorly understood. Using the parametric g-formula, we assessed the role of neighborhood crime as a potential mediator of the relationship between neighborhood SES and birth outcomes using data on singleton births occurring in the Netherlands between 2010 and 2017 (n = 1,219,470). We estimated total and mediated effects of neighborhood SES on small-for-gestational-age (SGA) birth, low birth weight (LBW), and preterm birth (PTB) for 3 types of crime (violent crimes, crimes against property, and crimes against public order). The g-formula intervention settings corresponded to a hypothetical improvement in neighborhood SES. A hypothetical improvement in neighborhood SES resulted in a 6.6% (95% CI: 5.6, 7.5) reduction in the proportion of SGA birth, a 9.1% (95% CI: 7.6, 10.6) reduction in LBW, and a 5.8% (95% CI: 5.7, 6.2) decrease in PTB. Neighborhood crime jointly accounted for 28.1% and 8.6% of the total effects on SGA birth and LBW, respectively. For PTB, we found no evidence of mediation. The most relevant pathways were crimes against property and crimes against public order. The results indicate that neighborhood crime mediates a meaningful share of the relationship between neighborhood SES and birth outcomes.

Impact of the EURO-PERISTAT Reports on obstetric management: a difference-in-regression-discontinuity analysis.

BACKGROUND: Population health monitoring, such as perinatal mortality and morbidity rankings published by the European Perinatal Health (EURO-PERISTAT) reports may influence obstetric care providers' decision-making and professional behaviour. We investigated short-term changes in the obstetric management of singleton term deliveries in the Netherlands following publication of the EURO-PERISTAT reports in 2003, 2008 and 2013. METHODS: We used a quasi-experimental difference-in-regression-discontinuity approach. National perinatal registry data (2001-15) was used to compare obstetric management at delivery in four time windows (1, 2, 3 and 5 months) surrounding publication of each EURO-PERISTAT report. RESULTS: The 2003 EURO-PERISTAT report was associated with higher relative risks (RRs) for an assisted vaginal delivery across all time windows [RR (95% CI): 1 month: 1.23 (1.05-1.45), 2 months: 1.15 (1.02-1.30), 3 months: 1.21 (1.09-1.33) and 5 months: 1.21 (1.11-1.31)]. The 2008 report was associated with lower RRs for an assisted vaginal delivery at the 3- and 5-month time windows [0.86 (0.77-0.96) and 0.88 (0.81-0.96)]. Publication of the 2013 report was associated with higher RRs for a planned caesarean section across all time windows [1 month: 1.23 (1.00-1.52), 2 months: 1.26 (1.09-1.45), 3 months: 1.26 (1.12-1.42) and 5 months: 1.19(1.09-1.31)] and lower RRs for an assisted vaginal delivery at the 2-, 3- and 5-month time windows [0.85 (0.73-0.98), 0.83 (0.74-0.94) and 0.88 (0.80-0.97)]. CONCLUSIONS: This study showed that quasi-experimental study designs, such as the difference-in-regression-discontinuity approach, are useful to unravel the impact of population health monitoring on decision-making and professional behaviour of healthcare providers. A better understanding of the contribution of health monitoring to the behaviour of healthcare providers can help guide improvements within the (perinatal) healthcare chain.

Changes in preterm birth and stillbirth during COVID-19 lockdowns in 26 countries.

Preterm birth (PTB) is the leading cause of infant mortality worldwide. Changes in PTB rates, ranging from -90% to +30%, were reported in many countries following early COVID-19 pandemic response measures ('lockdowns'). It is unclear whether this variation reflects real differences in lockdown impacts, or perhaps differences in stillbirth rates and/or study designs. Here we present interrupted time series and meta-analyses using harmonized data from 52 million births in 26 countries, 18 of which had representative population-based data, with overall PTB rates ranging from 6% to 12% and stillbirth ranging from 2.5 to 10.5 per 1,000 births. We show small reductions in PTB in the first (odds ratio 0.96, 95% confidence interval 0.95-0.98, P value <0.0001), second (0.96, 0.92-0.99, 0.03) and third (0.97, 0.94-1.00, 0.09) months of lockdown, but not in the fourth month of lockdown (0.99, 0.96-1.01, 0.34), although there were some between-country differences after the first month. For high-income countries in this study, we did not observe an association between lockdown and stillbirths in the second (1.00, 0.88-1.14, 0.98), third (0.99, 0.88-1.12, 0.89) and fourth (1.01, 0.87-1.18, 0.86) months of lockdown, although we have imprecise estimates due to stillbirths being a relatively rare event. We did, however, find evidence of increased risk of stillbirth in the first month of lockdown in high-income countries (1.14, 1.02-1.29, 0.02) and, in Brazil, we found evidence for an association between lockdown and stillbirth in the second (1.09, 1.03-1.15, 0.002), third (1.10, 1.03-1.17, 0.003) and fourth (1.12, 1.05-1.19, <0.001) months of lockdown. With an estimated 14.8 million PTB annually worldwide, the modest reductions observed during early pandemic lockdowns translate into large numbers of PTB averted globally and warrant further research into causal pathways.

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

BACKGROUND: 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. OBJECTIVE: The aim of this was to provide a didactic application of the mediational g-formula by means of perinatal health inequalities research. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Piloting a complex intervention to promote a tobacco and alcohol-free pregnancy: the Smoke and Alcohol Free with EHealth and Rewards (SAFER) pregnancy study.

BACKGROUND: Tobacco smoking and alcohol consumption before and during pregnancy increase the risk of adverse health outcomes for mother and child. Interventions to address smoking and drinking before and during pregnancy have the potential to reduce early-life health inequalities. In the Smoke and Alcohol Free with EHealth and Rewards (SAFER) pilot study we aimed to evaluate the acceptability, feasibility and effectiveness of a complex intervention supporting women in smoking and alcohol cessation before and during pregnancy. METHODS: From February 2019 till March 2021, we piloted the SAFER pregnancy intervention among pregnant women and women planning pregnancy in South-West Netherlands in an uncontrolled before-after study. Participants were supported in smoking and alcohol cessation via up to six group sessions and an online platform. In addition, biochemically validated cessation was rewarded with incentives (i.e. shopping vouchers) amounting up to 185 euros. We aimed to include 66 women. The primary outcome was smoking and/or alcohol cessation at 34-38 weeks of gestation (if pregnant) or after six group sessions (if not pregnant). Quantitative data were analysed using descriptive statistics. Focus group interviews among those involved in the study were conducted at the end of the study to explore their experiences. Qualitative data was analysed using thematic analysis. RESULTS: Thirty-nine women who smoked were included; no women who consumed alcohol were referred to the study. Unemployment (51%), financial problems (36%) and a smoking partner (72%) were common. Thirteen women (33%) dropped out, often due to other problems impeding smoking cessation or 'being too busy' to participate in the group sessions. Eleven women (28%) had quit smoking at the study's endpoint. The personal and positive approach was highly valued and biochemical validation was felt to be helpful. CONCLUSION: The SAFER pregnancy intervention seems appropriate for women in need of extra support for smoking cessation before and during pregnancy. Its impact on alcohol cessation could not be studied due to recruitment issues. Recruitment and prevention of early dropout need attention in further development of this intervention. TRIAL REGISTRATION: Netherlands Trial Register: NL7493. Date registered: 04/02/2019.

Accelerating tobacco control at the national level with the Smoke-free Generation movement in the Netherlands.

The Netherlands has moved towards the forefront of tobacco control in Europe, after having implemented important tobacco control measures in 2020 and 2021, which included higher tobacco taxation, plain packaging of tobacco products, a partial point of sale tobacco display ban, smoking ban on school grounds, and other smoking restrictions. We examined the factors contributing to these successes, focussing on the network of tobacco control advocacy organisations and the process of agenda-setting. Crucial determining factors were stricter adherence to Article 5.3 FCTC, which prevents government to consult tobacco industry, and the genesis of a 'Smoke-free Generation' movement in the wider society, initiated by the three main national charities (Lung Foundation Netherlands, Dutch Heart Foundation, Dutch Cancer Society). The Smoke-free Generation concept proved to be a highly attractive unifying strategy for national en local policy makers and Dutch society. As a result, the Dutch government was able to start a process of strengthening tobacco control policy through drafting and implementing a National Prevention Agreement, which aims at a tobacco control endgame goal of less than 5% smokers in 2040. Between 2019 and 2020 smoking rates dropped from 21.7% to 20.2%. The Dutch experience can provide inspiration for countries where tobacco control is still lagging behind. It also illustrates that continued vigilance is needed, since the most recent government change was associated with a hampering of further reduction of the proportion of smokers and a temporary drop in attention to tobacco control from the central government.

Better assessment of neonatal jaundice at home (BEAT Jaundice @home): protocol for a prospective, multicentre diagnostic study.

INTRODUCTION: Severe neonatal hyperbilirubinaemia can place a neonate at risk for acute bilirubin encephalopathy and kernicterus spectrum disorder. Early diagnosis is essential to prevent these deleterious sequelae. Currently, screening by visual inspection followed by laboratory-based bilirubin (LBB) quantification is used to identify hyperbilirubinaemia in neonates cared for at home in the Netherlands. However, the reliability of visual inspection is limited. We aim to evaluate the effectiveness of universal transcutaneous bilirubin (TcB) screening as compared with visual inspection to: (1) increase the detection of hyperbilirubinaemia necessitating treatment, and (2) reduce the need for heel pricks to quantify bilirubin levels. In parallel, we will evaluate a smartphone app (Picterus), and a point-of-care device for quantifying total bilirubin (Bilistick) as compared with LBB. METHODS AND ANALYSIS: We will undertake a multicentre prospective cohort study in nine midwifery practices across the Netherlands. Neonates born at a gestational age of 35 weeks or more are eligible if they: (1) are at home at any time between days 2 and 8 of life; (2) have their first midwife visit prior to postnatal day 6 and (3) did not previously receive phototherapy. TcB and the Picterus app will be used after visual inspection. When LBB is deemed necessary based on visual inspection and/or TcB reading, Bilistick will be used in parallel. The coprimary endpoints of the study are: (1) hyperbilirubinaemia necessitating treatment; (2) the number of heel pricks performed to quantify LBB. We aim to include 2310 neonates in a 2-year period. Using a decision tree model, a cost-effectiveness analysis will be performed. ETHICS AND DISSEMINATION: This study has been approved by the Medical Research Ethical Committee of the Erasmus MC Rotterdam, Netherlands (MEC-2020-0618). Parents will provide written informed consent. The results of this study will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: Dutch Trial Register (NL9545).

Fatal Early-onset Sepsis Caused by Intrauterine Transmission of Serogroup Y Meningococcus.

Infections by meningococcal species are extremely rare in the first days of life. We present a fatal case of early-onset sepsis presenting at birth, caused by intrauterine transmission of serogroup Y N. meningitidis, evidenced clinically and histologically by corresponding chorioamnionitis and N. meningitidis-positive amniotic fluid. This case confirms a long-standing suspicion that N. meningitidis can be transmitted in utero.