ArticleEpidemiology and psychiatric sciences2022
Estimating prevalence of child and youth mental disorder and mental health-related service contacts: a comparison of survey data and linked administrative health data.
Article in Epidemiology and psychiatric sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Use of and Barriers to Mental Health Services for Youth with Physical-Mental Multimorbidity: A Nationally Representative Study.The journal of behavioral health services & research · 2026Article
- Accuracy of administrative data in ascertaining health conditions: a systematic review.JAMIA open · 2026Review
- Nationwide trends in pediatric obesity in Thailand, 2015-2023: prevalence, morbidity, mortality, and COVID-19-related disparities.BMC public health · 2026Article
- Goal consensus and task agreement as predictors of attendance and compliance in community-based treatments for adolescents with emotional disorders.Child and adolescent psychiatry and mental health · 2025Article
- Child and youth chronic physical health conditions: a comparison of survey data and linked administrative health data in Ontario.BMC pediatrics · 2025Article
- Sleep and Internalizing Problems as Mediators of Medical Service Usage Among Youth with and without Conduct Problems.Child psychiatry and human development · 2025Article
- Article
- Prevalence of Common Child Mental Health Disorders Using Administrative Health Data and Parent Report in a Prospective Community-Based Cohort from Alberta, Canada: Prévalence des troubles communs de santé mentale de l'enfant à l'aide des données de santé administratives et des rapports des parents dans une cohorte prospective communautaire d'Alberta, Canada.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2024Article
- Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques.BMC medical informatics and decision making · 2024Article
- Childhood Schizotypy and Adolescent Mental Disorder.Schizophrenia bulletin · 2024Article
- Electronic health records identify timely trends in childhood mental health conditions.Child and adolescent psychiatry and mental health · 2023Article
- Characterizing mental health related service contacts in children and youth: a linkage study of health survey and administrative data.Child and adolescent psychiatry and mental health · 2022Article
- Association of mental health and behavioral disorders with health care and service utilization in children before and after diagnosis.PloS one · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
aimsPrevalence estimates of child and youth mental disorder and mental health-related service contacts are needed for policy formulation, research, advocacy and resource allocation. Our aim is to compare prevalence estimates of child and youth mental disorder and mental health-related service contacts derived from general population survey data v. linked administrative health data.
methodsProvincially representative 2014 Ontario Child Health Study data were linked to administrative health records for 5563 children and youth aged 4-17 in Ontario. Emotional disorders (mood and anxiety) and attention-deficit/hyperactivity disorder were assessed using a standardised diagnostic interview in the survey and using diagnostic codes in administrative health data. Physician-based mental health-related service contacts were assessed using parent self-reports from the survey and administrative data related to mental health-related diagnostic codes. Prevalence estimates were calculated and compared based on one-sample z-tests and ratios of survey data to administrative data-based prevalence. Sensitivity, specificity and agreement between classifications were compared using κ. Prevalence estimates were calculated by age, sex and geography sub-groups and consistent group differences across data source were counted.
resultsDisorder prevalence and service contact estimates were significantly higher in survey data in all cases, except for mood disorder. Ratios of survey data to administrative data-based prevalence varied, ranging from 0.80 (mood) to 11.01 (attention-deficit/hyperactivity disorder). Specificity was high (0.98-1.00), sensitivity was low (0.07-0.41) and agreement ranged from slight (κ = 0.13) to moderate (κ = 0.46). Out of 18 sub-group difference comparisons, half were non-significant in either data source. In the remaining nine comparisons, the only significant differences between groups that were consistent across data source were for sex-based differences (attention-deficit/hyperactivity disorder and service contacts). There were no consistent age- or geography-based differences in prevalence across data sources.
conclusionsOur findings suggest that conclusions drawn about prevalence, service contacts and sub-group differences in these estimates are dependent on data source. Further research is needed to understand who and what is being captured by each source. Researchers should conduct data linkage where possible to access and compare multiple sources of information.
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