The Usefulness of Electronic Health Records From Preventive Youth Healthcare in the Recognition of Child Mental Health Problems.

Background and Objectives: Early identification of child mental health problems (MHPs) is important to provide adequate, timely treatment. Dutch preventive youth healthcare monitors all aspects of a child's healthy development. We explored the usefulness of their electronic health records (EHRs) in scientific research and aimed to develop prediction models for child MHPs. Methods: Population-based cohort study with anonymously extracted electronic healthcare data from preventive youth healthcare centers in the Leiden area, the Netherlands, from the period 2005-2015. Data was analyzed with respect to its continuity, percentage of cases and completeness. Logistic regression analyses were conducted to develop prediction models for the risk of a first recorded concern for MHPs in the next scheduled visit at age 3/4, 5/6, 10/11, and 13/14 years. Results: We included 26,492 children. The continuity of the data was low and the number of concerns for MHPs varied greatly. A large number of determinants had missing data for over 80% of the children. The discriminatory performance of the prediction models were poor. Conclusions: This is the first study exploring the usefulness of EHRs from Dutch preventive youth healthcare in research, especially in predicting child MHPs. We found the usefulness of the data to be limited and the performance of the developed prediction models was poor. When data quality can be improved, e.g., by facilitating accurate recording, or by data enrichment from other available sources, the analysis of EHRs might be helpful for better identification of child MHPs.

Psychological distress, cardiometabolic diseases and musculoskeletal pain: A cross-sectional, population-based study of syndemic ill health in a Dutch fishing village.

BACKGROUND: Disease clustering is a growing public health concern and is increasingly linked to adverse socioeconomic conditions. Few population-based studies have focussed on interaction between non-communicable diseases. In this cross-sectional study, we examine clustering of, and synergistic interactions between, frequently occurring non-communicable diseases in Katwijk, a former fishing village in the Netherlands. Additionally, our study identifies contextual variables associated with these clusters of non-communicable diseases. METHODS: In a survey among adults (>19 years) living in the former fishing village Katwijk, Netherlands, were asked about non-communicable diseases, psychological distress, self-rated health scores and contextual factors, eg, socio-demographic, psychosocial and health behavior characteristics. Interaction was measured on the additive and the multiplicative scale. We used generalized ordered logistic regression analysis to examine associations with contextual variables. RESULTS: Three disease clusters were found to be most prevalent among the study participants (n = 1408). Each cluster involved a combination of frequently occurring conditions in this population: psychological distress (n = 261, 19%), cardiometabolic diseases (n = 449, 32%) and musculoskeletal pain (n = 462, 33%). These three diseases interact synergistically on the additive scale to increase the odds of reporting a low self-rated health. None of the disease clusters showed a statistically significant positive interaction on a multiplicative scale. Multiple contextual factors were associated with these disease clusters, including gender, loneliness, experiencing financial stress, and a BMI≥30. CONCLUSION: Our findings imply that psychological distress, cardiometabolic diseases and musculoskeletal pain synergistically interact, leading to a much lower self-rated health than expected. Several contextual factors are related to this interaction emphasizing the importance of a multicomponent, ecological approach.

Favourable outcomes of a preventive screening and counselling programme for older people in underprivileged areas in the Netherlands: The PRIMUS project.

An aging population is associated with an increased prevalence of diabetes, cardiovascular diseases and depression. Important aspects of programmes targeted at older people are: to reach those at risk, effective screening, optimising advice, and referral to local interventions. We examined the effect of a preventive health consultation (PRIMUS), a multi-behavioural screening programme for persons aged 55-74 years in primary care. In a multi-centre randomised controlled trial, the effects of participating in the PRIMUS intervention were compared to a comparison group receiving personalised summaries and advice by postal mail, both preceded by a health risk assessment via a questionnaire. The intervention consisted of a baseline health risk assessment, followed by a preventive health consultation (after 4 weeks), and a follow-up visit (2 weeks later) in the primary care centre. A newly developed web-based computer-tailored programme supported the nurse practitioner during the consultation. Main outcomes measures were awareness of, and compliance with referral advice for changing unhealthy lifestyles. The PRIMUS preventive health consultation was successful in older people at risk for cardio metabolic diseases compared to the comparison group (compliance: RR 1.43; 95% CI 1.12-1.79; p < 0.05). The intervention was less successful in older people at risk for mental health problems. This preventive health consultation for older people resulted in positive changes in unhealthy behaviours by optimising reach, raising awareness, motivating and assisting individuals to change, and referring to local interventions.

GPs' perspectives on preventive care for older people: a focus group study.

BACKGROUND: Preventive care traditionally aims to prevent diseases or injuries. For older people, different aims of prevention, such as maintenance of independence and wellbeing, are increasingly important. AIM: To explore GPs' perspectives on preventive care for older people. DESIGN AND SETTING: Qualitative study comprising six focus groups with GPs in the Netherlands. METHOD: The focus-group discussions with 37 GPs were analysed using the framework analysis method. RESULTS: Whether or not to implement preventive care for older people depends on the patient's individual level of vitality, as perceived by the GP. For older people with a high level of vitality, GPs confine their role to standardised disease-oriented prevention on a patient's request; when the vitality levels in older people fall, the scope of preventive care shifts from prevention of disease to prevention of functional decline. For older, vulnerable people, GPs expect most benefit from a proactive, individualised approach, enabling them to live as independently as possible. Based on these perspectives, a conceptual model for preventive care was developed, which describes GPs' different perspectives toward older people who are vulnerable and those with high levels of vitality. It focuses on five main dimensions: aim of care (prevention of disease versus prevention of functional decline), concept of care (disease model versus functional model), initiator (older persons themselves versus GP), target groups (people with requests versus specified risk groups), and content of preventive care (mainly cardiovascular risk management versus functional decline). CONCLUSION: GPs' perspectives on preventive care are determined by their perception of the level of vitality of their older patients. Preventive care for older people with high levels of vitality may consist of a standardised disease-oriented approach; those who are vulnerable will need an individualised approach to prevent functional decline.