ArticleAlzheimer's & dementia (Amsterdam, Netherlands)
Identification of cognitive impairment using the Lancet Commission's risk factors and Medicare administrative data.
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
introductionPrediction models based on administrative data may present a scalable opportunity to identify risk of cognitive impairment, but their accuracy relative to models using richer information is uncertain.
methodsWe developed and validated models to identify the likelihood of mild cognitive impairment (MCI) and dementia using the Health and Retirement Study linked to Medicare data from 2000 to 2016 (
resultsProbit models with demographics and chronic conditions yielded high AUCs of 71.3% (MCI) and 82.1% (dementia). Adding individual level education provided the largest improvement in AUCs, whereas dual eligibility status offered smaller gains ( DISCUSSION: Predictors in administrative data can be used to generate reasonably accurate, well calibrated models predicting likelihood of cognitive impairment.
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