ArticleJournal of Alzheimer's disease : JAD2022
Identification of Early Onset Dementia in Population-Based Health Administrative Data: A Validation Study Using Primary Care Electronic Medical Records.
Article in Journal of Alzheimer's disease : JAD, 2022. 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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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.
- Identifying risk factors of young-onset dementia and evaluating evidence hierarchy: a meta-analysis and umbrella review.The journal of prevention of Alzheimer's disease · 2026Pooled it
- Prevalence and Risk of Dementia Among Adults Who Have Experienced Homelessness, a Meta-Analysis.Journal of the American Geriatrics Society · 2026Pooled it
- Misclassification bias in chronic disease case ascertainment algorithms: a reclassification approach.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2026Article
- A retrieval-augmented generation large language model framework for accurate dementia identification from electronic health records.medRxiv : the preprint server for health sciences · 2026Article
- Construction of a classification model for dementia among Brazilian adults aged 50 and over.Frontiers in aging neuroscience · 2026Article
- Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel disease.Communications medicine · 2025Article
- Exposure to protracted low-dose ionizing radiation and incident dementia in a cohort of Ontario nuclear power plant workers.Scandinavian journal of work, environment & health · 2025Article
- Child and youth chronic physical health conditions: a comparison of survey data and linked administrative health data in Ontario.BMC pediatrics · 2025Article
- Machine learning prediction of premature death from multimorbidity among people with inflammatory bowel disease: a population-based retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025Article
- Derivation and validation of an algorithm to predict transitions from community to residential long-term care among persons with dementia-A retrospective cohort study.PLOS digital health · 2024Article
- Algorithmic identification of persons with dementia for research recruitment: ethical considerations.Informatics for health & social care · 2024Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEarly onset dementia (EOD) occurs when symptoms of dementia begin between 45 to 64 years of age.
objectiveWe developed and validated health administrative data algorithms for EOD and compared demographic characteristics and presence of comorbid conditions amongst adults with EOD, late onset dementia (LOD) and adults with no dementia in Ontario, Canada.
methodsPatients aged 45 to 64 years identified as having EOD in their primary care electronic medical records had their records linked to provincial health administrative data. We compared several combinations of physician's claims, hospitalizations, emergency department visits and prescriptions. Age-standardized incidence and prevalence rates of EOD were estimated from 1996 to 2016.
resultsThe prevalence of EOD for adults aged 45 to 64 years in our primary care reference cohort was 0.12%. An algorithm of ≥1 hospitalization or ≥3 physician claims at least 30 days apart in a two-year period or ≥1 dementia medication had a sensitivity of 72.9% (64.5-81.3), specificity of 99.7% (99.7-99.8), positive predictive value (PPV) of 23.7% (19.1-28.3), and negative predictive value of 100.0%. Multivariate logistic regression found adults with EOD had increased odds ratios for several health conditions compared to LOD and no dementia populations. From 1996 to 2016, the age-adjusted incidence rate increased slightly (0.055 to 0.061 per 100 population) and the age-adjusted prevalence rate increased three-fold (0.11 to 0.32 per 100 population).
conclusionWhile we developed a health administrative data algorithm for EOD with a reasonable sensitivity, its low PPV limits its ability to be used for population surveillance.
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