Suchergebnisse

BackgroundReducing socioeconomic health inequalities among youth is a major challenge for governments around the world and reports on successful attempts are scarce. Socioecological and integral approaches with collaborative partnerships and community engagement are recommended but knowledge about the effectiveness and effective and ineffective elements is limited. The Promising Neighbourhoods program employs such an approach aiming to reduce socioeconomic inequalities in health, safety and talent development in youth. We will evaluate the process-implementation, and effectiveness of the Promising Neighbourhoods program.Methods/designCore elements of Promising Neighbourhoods are a collaborative community programming approach with stakeholders, data-based priority setting, knowledge-, and theory-based policies and evidence-based interventions. Community stakeholders and key-leaders from the neighbourhoods are engaged in the program. For this evaluation study the program will be implemented in three intervention neighbourhoods. These neighbourhoods will be compared to three control neighbourhoods at baseline in 2018/2019 and at follow-up in 2020/2021 after full implementation of the Promising Neighbourhoods program. Intervention neighbourhoods receive a tailored intervention-package including evidence-based interventions and additional measures by community stakeholders. In control neighbourhoods, no special planning will take place thus interventions are offered as usual. A mixed-methods approach following the stages of the logic model from program is applied for this evaluation. Questionnaires, focus groups, and registration data will be collected among community stakeholders, key-leaders, and youth to evaluate the process-implementation of the program. Indicators of intermediate and ultimate outcomes will be studied among N=818 children and N=818 youngsters using difference-in-difference regression analysis to evaluate the effectiveness of the Promising Neighbourhoods program.DiscussionHypotheses are that a ...

OBJECTIVES: New legislation on youth care in the Netherlands led to the implementation of community-based support teams, providing integrated primary youth care. Important aims of the new Youth Act were more integrated, timely care and less use of intensive forms of care. Our aim was to study changes in youth care use in time and the role of newly introduced community-based support teams herein. SETTING: Register data (2015-2018) on youth of a large city were linked and combined with administrative and aggregated data on team characteristics. PARTICIPANTS: Data on 126 095 youth (0-18 years) were available for analyses. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary, specialised and residential youth care use were the primary outcomes. RESULTS: Generalised estimating equations analyses adjusted for individual characteristics demonstrated that over 4 years, use of primary youth care increased from 2.2% to 8.5% (OR 1.70; 99% CI 1.67 to 1.73), specialised youth care decreased from 7.2% to 6.4% (OR 0.98; 99% CI 0.97 to 1.00) and residential youth care increased slightly (OR 1.04; 99% CI 1.01 to 1.06). Gender, age, family status, migrant background and educational level were all associated with the types of youth care use and also with some trends in time. Likelihood to receive care increased in time for preschool and younger children but did not improve for migrant children.Case load, team size, team turnover, team performance and transformational leadership showed significant associations with different types of youth care use but hardly with trends in time. CONCLUSION: Patterns of youth care use changed towards more locally provided primary youth care, slightly less specialised and slightly more residential youth care. Furthermore, youth care use among younger children increased in time. These trends are partly in line with the trends intended by the Youth Act. Little evidence was found for the role of specific team characteristics on changes in youth care use in time.

OBJECTIVES: New legislation on youth care in the Netherlands led to the implementation of community-based support teams, providing integrated primary youth care. Important aims of the new Youth Act were more integrated, timely care and less use of intensive forms of care. Our aim was to study changes in youth care use in time and the role of newly introduced community-based support teams herein. SETTING: Register data (2015–2018) on youth of a large city were linked and combined with administrative and aggregated data on team characteristics. PARTICIPANTS: Data on 126 095 youth (0–18 years) were available for analyses. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary, specialised and residential youth care use were the primary outcomes. RESULTS: Generalised estimating equations analyses adjusted for individual characteristics demonstrated that over 4 years, use of primary youth care increased from 2.2% to 8.5% (OR 1.70; 99% CI 1.67 to 1.73), specialised youth care decreased from 7.2% to 6.4% (OR 0.98; 99% CI 0.97 to 1.00) and residential youth care increased slightly (OR 1.04; 99% CI 1.01 to 1.06). Gender, age, family status, migrant background and educational level were all associated with the types of youth care use and also with some trends in time. Likelihood to receive care increased in time for preschool and younger children but did not improve for migrant children. Case load, team size, team turnover, team performance and transformational leadership showed significant associations with different types of youth care use but hardly with trends in time. CONCLUSION: Patterns of youth care use changed towards more locally provided primary youth care, slightly less specialised and slightly more residential youth care. Furthermore, youth care use among younger children increased in time. These trends are partly in line with the trends intended by the Youth Act. Little evidence was found for the role of specific team characteristics on changes in youth care use in time.

School-aged children with an ethnic minority background are relatively often involved in bullying and victimization, but the role of ethnic composition of schools in this context remains unclear. This study examined the relation between ethnic minority background, ethnic school composition, and bullying behaviour around primary school entry in the Netherlands. The study was based on a 2008/2009 school survey in Rotterdam, a Dutch city where about 50 % of children have a non-Dutch background. For 8523 children, teacher reports of bullying behaviour at age 5–6 years were available. Children with a non-Dutch background had higher odds of being a victim (adjusted OR 1.41, 95 % CI 1.11, 1.80), bully (OR 1.38, 95 % CI 1.20, 1.58) or bully-victim (OR 1.38, 95 % CI 1.19, 1.62) than children of Dutch national origin. Ethnic diversity in schools increased children's risk of bullying behaviour (e.g. ORvictim per 0.1 increase in 0–1 diversity range = 1.06, 95 % CI 1.00, 1.13), with children of both Dutch and non-Dutch national origin relatively more often involved in bullying in ethnically diverse schools. The proportion of same-ethnic peers in school reduced the risk of bullying among children of Dutch national origin (e.g. ORvictim per 10 % more same-ethnic children = 0.90, 95 % CI 0.83, 0.98), but not among non-Dutch children. In conclusion, ethnic minority background and ethnic diversity within schools are risk factors for bullying among 5–6 year olds. Plausibly, reductions in absolute numbers of bullying events may be obtained with tailor-made interventions in ethnically diverse schools. Such interventions should preferably be offered early in the school curriculum.

AbstractThis exploratory study aimed to examine which components of early childhood conscience predicted bullying involvement around school entry. In the population‐based Generation R Study, teacher reports of bullying involvement and parent reports of conscience were available for 3,244 children (M age = 6.7 years). Higher levels of overall conscience predicted lower bullying perpetration scores, independently of intelligence quotient, temperamental traits and sociodemographic characteristics. Particularly, the subscales guilt, confession, and internalized conduct, and to a lesser extent empathy, predicted bullying perpetration. Conscience was not related to victimization. Similar results were found using observations during so‐called 'cheating games' (subsample N = 450 children). Findings suggest that improving children's understanding of moral standards and norms may be a potential target for bullying intervention programs in early primary school.