Education bias in typical brief cognitive tests used for the detection of dementia in elderly population with low educational level: a critical review

Ramos‐Henderson, Miguel; Calderón, Carlos; Domic-Siede, Marcos

doi:10.1080/23279095.2022.2155521

Cited by 8 publications

(2 citation statements)

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“…Predictive models from HRS compared to our study highlight the importance of clinical data and cognitive assessments to more accurately predict dementia. Predictive models should also include socioeconomic measures such as education or literacy, since cognitive assessments may be biased by these measures (Ramos-Henderson et al, 2022). The NCI-AD based dementia prediction models performed comparably to models fit with other data sources, but we also sought to explore the implications of combining different sources of dementia status.…”

Section: Discussionmentioning

confidence: 99%

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Comparing Dementia Classification by Self-Report and Administrative Records in the National Core Indicators-Aging and Disability Survey: A Predictive Modeling Approach

et al. 2023

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Policymakers are interested in the long-term services and supports (LTSS) needs of people living with dementia. The National Core Indicators-Aging and Disability (NCI-AD) survey is conducted to evaluate LTSS care needs. However, dementia reporting in NCI-AD varies across states, and is either obtained from state administrative records or self-reported during the survey. We explored the implications of identifying dementia from administrative records versus self-report. We analyzed 24,569 NCI-AD respondents age 65+, of which 22.4% had dementia. To assess dementia accuracy by data source, we fit separate logistic regression models using the administrative and self-reported subsamples. We applied model coefficients to the population whose dementia status came from the opposite source. Using the administrative model to predict self-reported dementia resulted in higher sensitivity than using the self-report model to predict administrative dementia (43.8% vs. 37.9%). The self-report model’s diminished sensitivity suggests administrative records may capture cases of dementia missed by self-report.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%