ArticleEClinicalMedicine2019
Identification of children at risk for mental health problems in primary care-Development of a prediction model with routine health care data.
Article in EClinicalMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review.BMC medical informatics and decision making · 2023Pooled it
- An online randomised controlled trial to evaluate the effectiveness of an online intervention for parents/guardians of children aged 4-7 years old who are concerned about their children's emotional and behavioural development: EMERGENT study.Frontiers in psychology · 2026Trial
- Predicting 7-year-olds mental health in the perinatal period: Development and internal validation of a multivariable model using the prospective ALSPAC cohort.JCPP advances · 2026Article
- Pediatric precision sleep network: a study protocol for identifying sleep signatures of mental health risk in peri-adolescents.BMC pediatrics · 2026Article
- The impacts of neighbourhood violence on mental health consultations among residents of low-income neighbourhoods in Rio de Janeiro: a retrospective cohort analysis.International journal of mental health systems · 2026Article
- Observational
- Effectiveness of resilience-based interventions to promote mental well-being among secondary school children: a systematic review.Frontiers in psychiatry · 2026Review
- Trajectories towards poor mental health: Can general practice contribute to prevention of bad outcomes for young children?The European journal of general practice · 2025Article
- Perinatal risk and protective factors associated with diagnosis of mental health disorders in children by age 9 years.European child & adolescent psychiatry · 2025Article
- Mental health of children and young people in the WHO Europe region.The Lancet regional health. Europe · 2025Review
- Predicting 5-year-olds mental health at birth: development and internal validation of a multivariable model using the prospective ELFE birth cohort.European child & adolescent psychiatry · 2025Article
- Emergency department visits for children identified as at risk of mental and behavioral conditions in the United States: an analysis of the 2019 NHIS data.BMC health services research · 2025Article
- Early detection of students' mental health issues from a traditional daily health observation scheme in Japanese schools and its digitalization.Frontiers in public health · 2024Article
- Early Risk Factors for Self-Injurious Thoughts and Behaviours: A UK Population-Based Study of 219,581 People.Behavioral sciences (Basel, Switzerland) · 2023Article
- Replicability and reproducibility of predictive models for diagnosis of depression among young adults using Electronic Health Records.Diagnostic and prognostic research · 2023Article
- Racial inequalities in mental healthcare use and mortality: a cross-sectional analysis of 1.2 million low-income individuals in Rio de Janeiro, Brazil 2010-2016.BMJ global health · 2023Article
- Article
- Exposure to Intimate-Partner Violence and Resilience Trajectories of Adolescents: A Two-Wave Longitudinal Latent Transition Analysis.International journal of environmental research and public health · 2023Article
- Injury, illness, and emotion: A review of the motivational continuum from trauma through recovery from an ecological perspective.Brain, behavior, & immunity - health · 2023Review
- Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite being common and having long lasting effects, mental health problems in children are often under-recognised and under-treated. Improving early identification is important in order to provide adequate, timely treatment. We aimed to develop prediction models for the one-year risk of a first recorded mental health problem in children attending primary care.
methodsWe carried out a population-based cohort study based on readily available routine healthcare data anonymously extracted from electronic medical records of 76 general practice centers in the Leiden area, the Netherlands. We included all patients aged 1-19 years on 31 December 2016 without prior mental health problems. Multilevel logistic regression analyses were used to predict the one-year risk of a first recorded mental health problem. Potential predictors were characteristics related to the child, family and healthcare use. Model performance was assessed by examining measures of discrimination and calibration.
findingsData from 70,000 children were available. A mental health problem was recorded in 27•7% of patients during the period 2007-2017. Age independent predictors were somatic complaints, more than two GP visits in the previous year, one or more laboratory test and one or more referral/contact with other healthcare professional in the previous year. Other predictors and their effects differed between age groups. Model performance was moderate (
interpretationThis study is a first promising step towards developing prediction models for identifying children at risk of a first mental health problem to support primary care practice by using routine healthcare data. Data enrichment from other available sources regarding e.g. school performance and family history could improve model performance. Further research is needed to externally validate our models and to establish whether we are able to improve under-recognition of mental health problems.
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