2007
DOI: 10.1111/j.1526-4637.2007.00358.x
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A Psychophysical Investigation of the Facial Action Coding System as an Index of Pain Variability among Older Adults with and without Alzheimer's Disease

Abstract: This is the first study to discriminate among FACS measures collected during innocuous and graded levels of precisely measured painful stimuli in seniors with (mild) dementia and in healthy control group participants. We conclude that, as hypothesized, FACS can be used for the assessment of evoked pain, regardless of the presence of AD.

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Cited by 90 publications
(71 citation statements)
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“…[22][23][24][25][26][27] Central to pain assessment are the self-report of pain and/or the direct observation of pain-related behaviours. Seniors who present with mild to moderate dementia tend to be able to provide valid self-reports of pain.…”
Section: The Assessment Of Painmentioning
confidence: 99%
“…[22][23][24][25][26][27] Central to pain assessment are the self-report of pain and/or the direct observation of pain-related behaviours. Seniors who present with mild to moderate dementia tend to be able to provide valid self-reports of pain.…”
Section: The Assessment Of Painmentioning
confidence: 99%
“…Current research supports this approach, which is why we have developed the electronic Pain Assessment Tool (ePAT), a novel instrument of great potential to transform the process of pain assessment in dementia [29, 32, 33]. The ePAT is a point-of-care tool that uses a hybrid model: automated facial recognition and analysis, digitization, and clinical observations [33].…”
Section: Introductionmentioning
confidence: 99%
“…8486 Currently available behavioral assessment tools, such as DOLOPLUS-2 87 and PACSLAC, 88 which rely on non-verbal cues, can be used for the assessment of pain in patients with dementia or cognitive impairment, especially in nursing homes. 89 These tools, however, are underdeveloped and have poor psychometric properties. 90 …”
Section: Gaps/challenges In Current Geriatric Rheumatology Clinical Carementioning
confidence: 99%