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The prevalence of Attention-Deficit/Hyperactivity Disorder (ADHD) diagnoses and medication use has increased over time around the world, but significant regional differences remain. This paper aims to determine and explain disparities in ADHD prevalence and medication use among school-aged children in two distinct school systems, in Flanders (Belgium) and Québec (Canada). We present detailed descriptive and comparative analyses of data from 35 schools, 114 teachers, and 1046 parents (children) that were collected as part of a comparative international project. The data concern teacher and parent suspicions, teachers' ratings of ADHD-related behaviors in children, teachers' views of medication use, and teachers' beliefs about ADHD. The results show that, compared with Flanders, Québec had significantly more children diagnosed with ADHD and more frequent suspicions of ADHD in children by teachers and parents. We refer to the conceptual, institutional, and interactional levels of medicalization to interpret our findings and conclude that social and cultural readings of children's behaviors differ greatly between regions. Medicalization of children's behaviors is more common in Québec than in Flanders. [ABSTRACT FROM AUTHOR]

Background: Big data research requires public support. It has been argued that this can be achieved by public involvement and engagement to ensure that public views are at the centre of research projects. Researchers should aim to include diverse communities, including seldom‐heard voices, to ensure that a range of voices are heard and that research is meaningful to them. Objective: We explored how researchers involve and engage seldom‐heard communities around big data research. Methods: This is a qualitative study. Researchers who had experience of involving or engaging seldom‐heard communities in big data research were recruited. They were based in England (n = 5), Scotland (n = 4), Belgium (n = 2) and Canada (n = 1). Twelve semistructured interviews were conducted on Zoom. All interviews were audio‐recorded and transcribed, and we used reflexive thematic analysis to analyse participants' experiences. Results: The analysis highlighted the complexity of involving and engaging seldom‐heard communities around big data research. Four themes were developed to represent participants' experiences: (1) abstraction and complexity of big data, (2) one size does not fit all, (3) working in partnership and (4) empowering the public contribution. Conclusion: The study offers researchers a better understanding of how to involve and engage seldom‐heard communities in a meaningful way around big data research. There is no one right approach, with involvement and engagement activities required to be project‐specific and dependent on the public contributors, researchers' needs, resources and time available. Patient and Public Involvement: Two public contributors are authors of the paper and they were involved in the study design, analysis and writing. [ABSTRACT FROM AUTHOR]

Aims To report a systematic review of the psychometric properties of self-report instruments to identify the symptoms of anxiety in pregnancy to help clinicians and researchers select the most suitable instrument. Background Excessive anxiety in pregnancy is associated with adverse birth outcomes, developmental and behavioural problems in infants and postnatal depression. Despite recommendations for routine psychological assessment in pregnancy, the optimal methods to identify anxiety in pregnancy have not been confirmed. Design Psychometric systematic review. Data sources A systematic literature search of the multiple databases (1990-September 2014). Review methods Identification of self-report instruments to measure anxiety in pregnancy using COSMIN guidelines to assess studies reporting a psychometric evaluation of validity and reliability. Results Thirty-two studies were included. Studies took place in the UK, Australia, Belgium, Canada, Germany, Italy, Scandinavia, Spain and the Netherlands. Seventeen different instruments were identified. Measures of validity were reported in 19 papers and reliability in 16. The overall quality of the papers was rated as fair to excellent using the COSMIN checklist. Only one paper scored excellent in more than one category. Conclusion Many instruments have been adapted for use in different populations to those for which they were designed. The State Trait Anxiety Inventory, Edinburgh Postnatal Depression Scale and the Hospital Anxiety and Depression Scale have been tested more frequently than other instruments, yet require further assessment to confirm their value for use in pregnancy. [ABSTRACT FROM AUTHOR]