ArticleCanadian journal of psychiatry. Revue canadienne de psychiatrie2024
Prevalence and Incidence Trends of Attention Deficit/Hyperactivity Disorder in Children and Youth Aged 1-24 Years in Ontario, Canada: A Validation Study of Health Administrative Data Algorithms: Tendances de la prévalence et de l'incidence du trouble de déficit de l'attention/hyperactivité chez les enfants et les jeunes âgés de 1 à 24 ans, en Ontario, Canada: une étude de validation des algorithmes de données administratives de santé.
Article in Canadian journal of psychiatry. Revue canadienne de psychiatrie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Systematic Review of Algorithms for Identifying Pediatric Neurodevelopmental Outcomes.Pharmacoepidemiology and drug safety · 2025Pooled it
- Prevalence of attention-deficit hyperactivity disorder (ADHD): systematic review and meta-analysis.European psychiatry : the journal of the Association of European Psychiatrists · 2024Pooled it
- Teacher-Reported Prevalence of FASD in Kindergarten and Association With Home Problems and Early Intervention in 2010-2015 and 2016-2020.Child psychiatry and human development · 2026Article
- DSM-5 Changes, COVID-19, and ADHD Diagnosis Rates in Individuals Younger Than 30 Years.JAMA network open · 2026Article
- Stability in attention-deficit hyperactivity disorder prevalence: wishful illusion or complex reality?BJPsych open · 2026Article
- Patterns of prescription stimulant initiation before and during the COVID-19 pandemic: a population-based time-series analysis.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026Article
- Long-Term Neurodevelopmental Outcomes After Forceps, Vacuum, and Second-Stage Cesarean Delivery.JAMA network open · 2026Article
- Trends of incident adult Attention-deficit/hyperactivity disorder diagnoses before, during and after the pandemic provincial state of emergency in British Columbia (2013-2023): a population-based study.Lancet regional health. Americas · 2025Article
- Article
- Healthcare use in individuals with and without attention-deficit/hyperactivity disorder: A population-based longitudinal matched cohort study.PLOS mental health · 2025Article
- 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
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3 authors.
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Abstract
objectiveTo estimate prevalence and incidence rates over time in children and youth with attention deficit/hyperactivity disorder from the validation of population-based administrative data algorithms using family physicians' electronic medical records as a reference standard.
methodsA retrospective cohort study was conducted in Ontario, Canada to identify attention deficit/hyperactivity disorder among children and youth aged 1-24 years in health administrative data derived from case-finding algorithms using family physicians' electronic medical records. Multiple administrative data algorithms identifying attention deficit/hyperactivity disorder cases were developed and tested from physician-diagnosis of attention deficit/hyperactivity disorder in the electronic medical record to determine their diagnostic accuracy. We calculated algorithm performance using sensitivity, specificity, and predictive values. The most optimal algorithm was used to estimate prevalence and incidence rates of attention deficit/hyperactivity disorder from 2014 to 2021 in Ontario.
resultsThe optimal performing algorithm was "2 physician visits for attention deficit/hyperactivity disorder in 1 year or 1 attention deficit/hyperactivity disorder-specific prescription" with sensitivity: 83.2% (95% confidence interval [CI], 81.8% to 84.5%), specificity: 98.6% (95% CI, 98.5% to 98.7%), positive predictive value: 78.6% (95% CI, 77.1% to 80.0%) and negative predictive value: 98.9% (95% CI, 98.8% to 99.0%). From 2014, prevalence rates for attention deficit/hyperactivity disorder increased from 5.29 to 7.48 per 100 population in 2021 (
conclusionsAttention deficit/hyperactivity disorder is increasing in prevalence. We developed an administrative data algorithm that can reliably identify children and youth with attention deficit/hyperactivity disorder with good diagnostic accuracy.
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