ArticleBMC medical informatics and decision making2020
Validation of an EMR algorithm to measure the prevalence of ADHD in the Canadian Primary Care Sentinel Surveillance Network (CPCSSN).
Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- A Systematic Review of Algorithms for Identifying Pediatric Neurodevelopmental Outcomes.Pharmacoepidemiology and drug safety · 2025Pooled it
- Accuracy of administrative database algorithms for autism spectrum disorder, attention-deficit/hyperactivity disorder and fetal alcohol spectrum disorder case ascertainment: a systematic review.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2022Pooled it
- Variation in Rates of ADHD Diagnoses Across Public Schools in Arkansas.Journal of attention disorders · 2026Article
- ADHD in Adulthood: Clinical Presentation, Comorbidities, and Treatment Perspectives.International journal of molecular sciences · 2025Review
- The Effect of Different Algorithms on Prevalence of Attention Deficit Hyperactivity Disorder and Autism Spectrum Disorder in Secondary Healthcare Data in Five European Countries: A Contribution from the ConcePTION Project.Journal of autism and developmental disorders · 2025Article
- Validity of the Italian Version of DIVA-5: Semi-Structured Diagnostic Interview for Adult ADHD Based on the DSM-5 Criteria.Healthcare (Basel, Switzerland) · 2025Article
- Healthcare use in individuals with and without attention-deficit/hyperactivity disorder: A population-based longitudinal matched cohort study.PLOS mental health · 2025Article
- Early identification of children with Attention-Deficit/Hyperactivity Disorder (ADHD).PLOS digital health · 2024Article
- Attention-Deficit/Hyperactivity Disorder Diagnoses in Finland During the COVID-19 Pandemic.JAMA network open · 2024Article
- 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.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2024Article
- Article
- Listening habits and subjective effects of background music in young adults with and without ADHD.Frontiers in psychology · 2024Article
- A Review of Canadian Diagnosed ADHD Prevalence and Incidence Estimates Published in the Past Decade.Brain sciences · 2022Review
- Screening Patterns of Nonalcoholic Fatty Liver Disease in Children with Obesity in Canadian Primary Care: A Cross-Sectional Study.Canadian journal of gastroenterology & hepatology · 2022Article
- Validity of claims-based algorithms to identify neurodevelopmental disorders in children.Pharmacoepidemiology and drug safety · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundBuilding and validating electronic algorithms to identify patients with specific disease profiles using health data is becoming increasingly important to disease surveillance and population health management. The aim of this study was to develop and validate an algorithm to find patients with ADHD diagnoses within primary care electronic medical records (EMR); and then use the algorithm to describe the epidemiology of ADHD from 2008 to 2015 in a Canadian Primary care sample.
methodsThis was a cross sectional time series that used data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN), a repository of primary care EMR data. A sample of electronic patient charts from one local clinic were manually reviewed to determine the positive predictive value (PPV) and negative predictive value (NPV) of an ADHD case-finding algorithm. In each study year a practice population was determined, and the algorithm was used to measure an observed prevalence of ADHD. The observed prevalence was adjusted for misclassification, as measured by the validity indices, to obtain an estimate of the true prevalence. Estimates were calculated by age group (4-17 year olds, 18 to 34 year olds, and 35 to 64 year olds) and gender, and compared over time.
resultsThe EMR algorithm had a PPV of 98.0% (95% CI [92.5, 99.5]) and an NPV of 95.0% (95% CI [92.9, 98.6]). After adjusting for misclassification, it was determined that the prevalence of patients with a clinical diagnosis of ADHD has risen in all age groups between 2008 and 2015, most notably in children and young adults (6.92, 95% CI [5.62, 8.39] to 8.57, 95% CI [7.32, 10.00]; 5.73, 95% CI [4.40, 7.23] to 7.33, 95% CI [6.04, 8.78], respectively). The well-established gender gap persisted in all age groups across time but was considerably smaller in older adults compared to children and young adults.
conclusionOverall, the ADHD case-finding algorithm was found to be a valid tool to assess the epidemiology of ADHD in Canadian primary care practice. The increased prevalence of ADHD between 2008 and 2015 may reflect an improvement in the recognition and treatment of this disorder within primary care.
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