ArticleThe Clinical neuropsychologist2020
Validity of early-onset dementia diagnoses in VA electronic medical record administrative data.
Article in The Clinical neuropsychologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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Who cites it
15 citing papers in PubMed.
- Home- and Community-Based Service Use and Preferences Among Post-9/11 Veterans With or at High Risk of Alzheimer Disease and Related Dementia and Their Caregivers: Protocol for a Mixed Methods Observational Study.JMIR research protocols · 2026Observational
- Identifying clinical phenotypes of frontotemporal dementia in post-9/11 era veterans using natural language processing.Frontiers in neurology · 2024Article
- Cannabis use disorder contributes to cognitive dysfunction in Veterans with traumatic brain injury.Frontiers in neurology · 2024Article
- Alzheimer's Disease-Related Dementias Summit 2022: National Research Priorities for the Investigation of Post-Traumatic Brain Injury Alzheimer's Disease and Related Dementias.Journal of neurotrauma · 2023Article
- Alzheimer's disease and related dementias among aging veterans: Examining gene-by-environment interactions with post-traumatic stress disorder and traumatic brain injury.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Article
- Comorbidity and polypharmacy impact neurobehavioral symptoms and symptom validity failure among post-9/11 veterans with mild traumatic brain injury.Frontiers in neurology · 2023Article
- The economic impact of cannabis use disorder and dementia diagnosis in veterans diagnosed with traumatic brain injury.Frontiers in neurology · 2023Article
- Early-onset dementia among privately-insured adults with and without congenital heart defects in the United States, 2015-2017.International journal of cardiology · 2022Article
- Traumatic Brain Injury and Early Onset Dementia in Post 9-11 Veterans.Brain injury · 2022Article
- Clinical features of dementia cases ascertained by ICD coding in LIMBIC-CENC multicenter study of mild traumatic brain injury.Brain injury · 2022Article
- Validity of Methods to Identify Individuals With Lower Extremity Amputation Using Department of Veterans Affairs Electronic Medical Records.Archives of rehabilitation research and clinical translation · 2022Article
- Traumatic Brain Injury and Risk of Alzheimer's Disease and Related Dementias in the Population.Journal of Alzheimer's disease : JAD · 2022Article
- Alzheimer's Disease-Related Dementias Summit 2019: National Research Priorities for the Investigation of Traumatic Brain Injury as a Risk Factor for Alzheimer's Disease and Related Dementias.Journal of neurotrauma · 2021Article
- The Enduring Health Consequences of Combat Trauma: a Legacy of Chronic Disease.Journal of general internal medicine · 2021Article
- Best early-onset Parkinson dementia predictor using ensemble learning among Parkinson's symptoms, rapid eye movement sleep disorder, and neuropsychological profile.World journal of psychiatry · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
objectiveTo determine the validity of diagnoses indicative of early-onset dementia (EOD) obtained from an algorithm using administrative data, we examined Veterans Health Administration (VHA) electronic medical records (EMRs).
methodA previously used method of identifying cases of dementia using administrative data was applied to a random sample of 176 cases of Post-9/11 deployed veterans under 65 years of age. Retrospective, cross-sectional examination of EMRs was conducted, using a combination of administrative data, chart abstraction, and review/consensus by board-certified neuropsychologists.
resultsApproximately 73% of EOD diagnoses identified using existing algorithms were identified as false positives in the overall sample. This increased to approximately 76% among those with mental health conditions and approximately 85% among those with mild traumatic brain injury (TBI; i.e. concussion). Factors related to improved diagnostic accuracy included more severe TBI, diagnosing clinician type, presence of neuroimaging data, absence of a comorbid mental health condition diagnosis, and older age at time of diagnosis.
conclusionsA previously used algorithm for detecting dementia using VHA administrative data was not supported for use in the younger adult samples and resulted in an unacceptably high number of false positives. Based on these findings, there is concern for possible misclassification in population studies using similar algorithms to identify rates of EOD among veterans. Further, we provide suggestions to develop an enhanced algorithm for more accurate dementia surveillance among younger populations.
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