Developmental monitoring: benefits of a preventive health care system.

This study aims to assess the identification rates in a developmental monitoring system (i.e., preventive child healthcare, PCH system) regarding identification of emotional, behavioral (EB) problems, cognitive developmental and family problems in children, and the contribution of such a system to referral to (specialized) mental health and social care services. Over a predetermined period of 6 months, we retrieved data from a random sample of 1370 children aged 0 to 18 years from the registries of two PCH organizations in the Netherlands. We assessed the degree to which PCH professionals identify EB and cognitive developmental and family problems and invite children with these problems for follow-up PCH assessments or refer them to (specialized) mental health and social care services. Among preschool-aged children, we identified 22% with EB problems, cognitive developmental and/or family problems (mainly EB and family problems). Among school-aged children, numbers varied from 10 to 14% (mainly EB). PCH invited 3 to 10%, varying in proportions of child age, for a follow-up assessment, and referred 0 to 4% of the children to external services. CONCLUSION: A developmental monitoring system with only preventive tasks may help to identify children with EB, cognitive developmental, and/or family problems. This can lead to early support for most of these children, with low referral rates to (more specialized) mental health and social care services. Our findings deserve validation in comparable settings and in other countries. WHAT IS KNOWN: • Well-child care requires monitoring of the health and development of children for timely identification of problems and subsequent intervention. • The Dutch Preventive Child Healthcare system is an example of a developmental monitoring system with only preventive tasks. WHAT IS NEW: • A developmental monitoring system with only preventive tasks may help to identify children with problems, resulting in early support for the majority. • This may reduce referral rates to (more specialized) mental/social health services.

Sleep characteristics across the lifespan in 1.1 million people from the Netherlands, United Kingdom and United States: a systematic review and meta-analysis.

We aimed to obtain reliable reference charts for sleep duration, estimate the prevalence of sleep complaints across the lifespan and identify risk indicators of poor sleep. Studies were identified through systematic literature search in Embase, Medline and Web of Science (9 August 2019) and through personal contacts. Eligible studies had to be published between 2000 and 2017 with data on sleep assessed with questionnaires including ≥100 participants from the general population. We assembled individual participant data from 200,358 people (aged 1-100 years, 55% female) from 36 studies from the Netherlands, 471,759 people (40-69 years, 55.5% female) from the United Kingdom and 409,617 people (≥18 years, 55.8% female) from the United States. One in four people slept less than age-specific recommendations, but only 5.8% slept outside of the 'acceptable' sleep duration. Among teenagers, 51.5% reported total sleep times (TST) of less than the recommended 8-10 h and 18% report daytime sleepiness. In adults (≥18 years), poor sleep quality (13.3%) and insomnia symptoms (9.6-19.4%) were more prevalent than short sleep duration (6.5% with TST < 6 h). Insomnia symptoms were most frequent in people spending ≥9 h in bed, whereas poor sleep quality was more frequent in those spending <6 h in bed. TST was similar across countries, but insomnia symptoms were 1.5-2.9 times higher in the United States. Women (≥41 years) reported sleeping shorter times or slightly less efficiently than men, whereas with actigraphy they were estimated to sleep longer and more efficiently than man. This study provides age- and sex-specific population reference charts for sleep duration and efficiency which can help guide personalized advice on sleep length and preventive practices.