Associations between Socio-Economic Status and Unfavorable Social Indicators of Child Wellbeing; a Neighbourhood Level Data Design

Background: Living in deprivation is related to ill health. Differences in health outcomes between neighbourhoods may be attributed to neighbourhood socio-economic status (SES). Additional to differences in health, neighbourhood differences in child wellbeing could also be attributed to neighbourhood SES. Therefore, we aimed to investigate the association between neighbourhood deprivation, and social indicators of child wellbeing. Methods: Aggregated data from 3565 neighbourhoods in 390 municipalities in the Netherlands were eligible for analysis. Neighbourhood SES scores and neighbourhood data on social indicators of child wellbeing were used to perform repeated measurements, with one year measurement intervals, over a period of 11 years. Linear mixed models were used to estimate the associations between SES score and the proportion of unfavorable social indicators of child wellbeing. Results: After adjustment for year, population size, and clustering within neighbourhoods and within a municipality, neighbourhood SES was inversely associated with the proportion of ‘children living in families on welfare’ (estimates with two cubic splines: −3.59 [CI: −3.99; −3.19], and −3.00 [CI: −3.33; −2.67]), ‘delinquent youth’ (estimate −0.26 [CI: −0.30; −0.23]) and ‘unemployed youth’ (estimates with four cubic splines: −0.41 [CI: −0.57; −0.25], −0.58 [CI: −0.73; −0.43], −1.35 [−1.70; −1.01], and −0.96 [1.24; −0.70]). Conclusions: In this study using repeated measurements, a lower neighbourhood SES was significantly associated with a higher prevalence of unfavorable social indicators of child wellbeing. This contributes to the body of evidence that neighbourhood SES is strongly related to child health and a child’s ability to reach its full potential in later life. Future studies should consist of larger longitudinal datasets, potentially across countries, and should attempt to take the interpersonal variation into account with more individual-level data on SES and outcomes

Integrating interconception care in preventive child health care services:The Healthy Pregnancy 4 All program

BackgroundMost parents with young children pay routine visits to Well-Baby Clinics, or so-called Preventive Child Health Care (PCHC) services. This offers a unique opportunity to promote and deliver interconception care. This study aimed to integrate such care and perform an implementation evaluation.MethodsIn seven Dutch municipalities, PCHC professionals were instructed to discuss the possibility of an interconception care consultation during each routine six-months well-baby visit. The primary outcome of this study was coverage of the intervention, quantified as the proportion of visits during which women were informed about interconception care. Secondary outcomes included adoption, fidelity, feasibility, appropriateness, acceptability and effectiveness of the intervention, studied by surveying PCHC professionals and women considering becoming pregnant.ResultsThe possibility of interconception care was discussed during 29% (n = 1,849) of all visits, and 60% of the PCHC physicians adopted the promotion of interconception care by regularly informing women. About half of the PCHC professionals and most women judged integration of interconception care in PCHC appropriate and acceptable. Estimated feasibility was poor, since 13% of the professionals judged future integration in daily practice as probable. The uptake of interconception care consultations was low (n = 4 consultations).ConclusionsPromotion of interconception care was achieved in approximately one-third of the routine PCHC consultations and appeared promising with regards to adoption, appropriateness and acceptability. However, concerns on feasibility and uptake of interconception care consultations in daily practice remain. Suggestions for improvement may include further integration of interconception care health promotion in routine PCHC consultations, while allocating sufficient resources

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

Early Maternal Caregiving Capacities in Highly Vulnerable, Multi-Problem Families

Caregiving capacities may be an important link between multi-problem circumstances and adverse child development. This study aims to assess caregiving capacities and their correlations in highly vulnerable, multi-problem families in Rotterdam, the Netherlands. Caregiving capacity (overall, emotional and instrumental) was prospectively assessed in 83 highly vulnerable women using video-observations of daily caregiving tasks, six week postpartum. Supporting data were collected at three time points: at inclusion, six weeks after inclusion and six weeks postpartum, and these included psychological symptoms, self-sufficiency, problematic life domains, home environment, income, depression, anxiety and stress. Pregnancy- and delivery-related information was collected from obstetric care professionals. Maternal caregiving scores averaged below adequate quality. Mothers living in an unsafe home environment (B = 0.62) and mothers with more problematic life domains (≤3 domains, B = 0.32) showed significantly higher instrumental caregiving capacities. Other variables were not related to caregiving capacities. Caregiving capacity in this highly vulnerable population was below adequate quality. However, in most cases there was no significant association between caregiving and the variables related to vulnerability. This means that a potential association between vulnerability and caregiving capacities might be driven by the interaction between several problems, rather than the type or number of problems

A nomogram was developed to enhance the use of multinomial logistic regression modeling in diagnostic research

OBJECTIVES: We developed a nomogram to facilitate the interpretation and presentation of results from multinomial logistic regression models. STUDY DESIGN AND SETTING: We analyzed data from 376 frail elderly with complaints of dyspnea. Potential underlying disease categories were heart failure (HF), chronic obstructive pulmonary disease (COPD), the combination of both (HF and COPD), and any other outcome (other). A nomogram for multinomial model was developed to depict the relative importance of each predictor and to calculate the probability for each disease category for a given patient. Additionally, model performance of the multinomial regression model was assessed. RESULTS: Prevalence of HF and COPD was 14% (n = 54), HF 24% (n = 90), COPD 20% (n = 75), and Other 42% (n = 157). The relative importance of the individual predictors varied across these disease categories or was even reversed. The pairwise C statistics ranged from 0.75 (between HF and Other) to 0.96 (between HF and COPD and Other). The nomogram can be used to rank the disease categories from most to least likely within each patient or to calculate the predicted probabilities. CONCLUSIONS: Our new nomogram is a useful tool to present and understand the results of a multinomial regression model and could enhance the applicability of such models in daily practice

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

Does Neighbourhood Crime Mediate the Relationship between Neighbourhood Socioeconomic Status and Birth Outcomes?: An Application of the Mediational G-Formula

While the link between living in low socioeconomic status (SES) neighbourhoods and a higher risk of adverse birth outcomes has been well established, the underlying mechanisms remain poorly understood. Using the parametric g-formula, we assess the role of neighbourhood crime as potential mediator for the relationship between neighbourhood 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 neighbourhood SES on small for gestational age (SGA), low birthweight (LBW), and preterm birth (PTB) via three types of crime (violent crimes, crimes against property and crimes against public order). The g-formula intervention settings correspond to a hypothetical improvement in neighbourhood SES. The hypothetical improvement in neighbourhood SES resulted in a 6.6% (95%CI=5.6,7.5) reduction in the proportion of SGA, 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. Neighbourhood crime jointly accounted for 28.1% and 8.6% of the total effect on SGA 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 neighbourhood crime mediates a meaningful share of the relationship between neighbourhood SES and birth outcomes