Background: This study investigated the sensitivity and specificity of a co
mputer-automated telephone system to evaluate cognitive impairment in elder
ly callers to identify signs of early dementia.
Methods: The Clinical Dementia Rating Scale was used to assess 155 subjects
aged 56 to 93 years (n=74, 27, 42, and 12, with a Clinical Dementia Rating
Scale score of 0, 0.5, 1, and 2, respectively). These subjects performed a
battery of tests administered by an interactive voice response system usin
g standard Touch-Tone telephones. Seventy-four collateral informants also c
ompleted an interactive voice response version of the Symptoms of Dementia
Screener.
Results: Sixteen cognitively impaired subjects were unable to complete the
telephone call, Performances on 6 of 8 tasks were significantly influenced
by Clinical Dementia Rating Scale status. The mean (SD) call length was 12
minutes 27 seconds (2 minutes 32 seconds). A subsample (n=116) was analyzed
using machine-learning methods, producing a scoring algorithm that combine
d performances across 4 tasks. Results indicated a potential sensitivity of
82.0% and specificity of 85.5%. The scoring model generalized to a validat
ion subsample (n=39), producing 85.0% sensitivity and 78.9% specificity. Th
e kappa agreement between predicted and actual group membership was 0.64 (P
<.001). Of the 16 subjects unable to complete the call, 11 provided suffici
ent information to permit us to classify them as impaired, Standard scoring
of the interactive voice response-administered Symptoms of Dementia Screen
er (completed by informants) produced a screening sensitivity of 63.5% and
100% specificity. A lower criterion found a 90.4% sensitivity, without lowe
ring specificity.
Conclusions: Computer-automated telephone screening for early dementia usin
g either informant or direct assessment is feasible. Such systems could pro
vide wide-scale, cost-effective screening, education, and referral services
to patients and caregivers.