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. 2021 Dec 17;77(6):1272–1278. doi: 10.1093/gerona/glab377

Table 1.

Performance of Medicare Claims-Based Algorithm for Identifying Dementia Compared With Rush Alzheimer’s Disease Center Dementia Evaluations, 2016a,b

Dementia Status in Cohort Evaluation Sensitivity (95% CI) Specificity (95% CI) Positive Predictive Value (95% CI) Negative Predictive Value (95% CI) Accuracy (95% CI) Kappa (95% CI)
Dementia status in claims Yes No Total
1-y windowb 64% (56, 72%) 93% (92, 95%) 58% (51, 66%) 95% (93, 96%) 89% (88, 91%) 0.55 (0.48, 0.62)
 Yes 92 66 158
 No 52 908 960
 Total 144 974 1 118
3-y windowb 79% (73, 86%) 88% (86, 90%) 50% (43, 56%) 97% (95, 98%) 87% (85, 89%) 0.54 (0.47, 0.61)
 Yes 108 109 217
 No 28 809 837
 Total 136 918 1 054

aDementia status in cohort evaluations represents all prevalent dementia cases identified as of 2016 who met standard clinical criteria as part of annual neurologic/neuropsychologic assessments.

bDementia status in claims represents prevalent cases of dementia identified using a validated algorithm in Medicare claims files. Dementia status was defined either using claims within a 1-y window of the 2016 Cohort evaluation (ie, ±6 mo) or using claims within a 3-y window (ie, ±18 mo).