TY - JOUR
T1 - The Structured Interview for Insight and Judgment in Dementia
T2 - Development and validation of a new instrument to assess awareness in patients with dementia
AU - Parrao, Teresa
AU - Brockman, Simone
AU - Bucks, Romola S.
AU - Bruce, David G.
AU - Davis, Wendy A.
AU - Hatch, Katherine K.
AU - Leavy, Tammy L.
AU - Axten, Christine A P
AU - Starkstein, Sergio E.
PY - 2017
Y1 - 2017
N2 - Introduction Poor insight about their cognitive and functional deficits is highly prevalent in patients with Alzheimer's disease (AD); however, there is a lack of reliable, valid instrumentation to measure this construct. The aim of this study was to develop and validate a semistructured interview to assess insight and judgment in patients with AD and to provide information regarding the assessment of competency and risk in this population. Methods We validated the Structured Clinical Interview for Insight and Judgment in Dementia (SIJID) in a consecutive series of 124 patients with probable AD. The following psychometric properties were evaluated: internal consistency, test-retest reliability, interrater reliability, and convergent and predictive validity. Results The SIJID demonstrated high test-retest, interrater reliability and also showed strong discriminant and convergent validity. It showed good predictive validity based on 1-year follow-up information of the patient's clinical outcomes, with a significant association between higher SIJID total scores at baseline, and more severe neuropsychiatric symptoms and more severe caregiver distress at follow-up. Moreover, higher scores of dangerous behaviors at baseline were significantly correlated with a higher frequency of hospitalization and placement in residential care 1 year later. Conclusion The SIJID is a reliable and valid instrument to assess insight and judgment in patients with AD and is a valuable tool for assessing presence and severity of dangerous behaviors, determining risk, and providing critical information for the assessment of competency.
AB - Introduction Poor insight about their cognitive and functional deficits is highly prevalent in patients with Alzheimer's disease (AD); however, there is a lack of reliable, valid instrumentation to measure this construct. The aim of this study was to develop and validate a semistructured interview to assess insight and judgment in patients with AD and to provide information regarding the assessment of competency and risk in this population. Methods We validated the Structured Clinical Interview for Insight and Judgment in Dementia (SIJID) in a consecutive series of 124 patients with probable AD. The following psychometric properties were evaluated: internal consistency, test-retest reliability, interrater reliability, and convergent and predictive validity. Results The SIJID demonstrated high test-retest, interrater reliability and also showed strong discriminant and convergent validity. It showed good predictive validity based on 1-year follow-up information of the patient's clinical outcomes, with a significant association between higher SIJID total scores at baseline, and more severe neuropsychiatric symptoms and more severe caregiver distress at follow-up. Moreover, higher scores of dangerous behaviors at baseline were significantly correlated with a higher frequency of hospitalization and placement in residential care 1 year later. Conclusion The SIJID is a reliable and valid instrument to assess insight and judgment in patients with AD and is a valuable tool for assessing presence and severity of dangerous behaviors, determining risk, and providing critical information for the assessment of competency.
KW - Anosognosia
KW - Assessment
KW - Dementia
KW - Insight
KW - Judgment
UR - http://www.scopus.com/inward/record.url?scp=85011373228&partnerID=8YFLogxK
U2 - 10.1016/j.dadm.2016.12.012
DO - 10.1016/j.dadm.2016.12.012
M3 - Article
C2 - 28203628
AN - SCOPUS:85011373228
SN - 2352-8729
VL - 7
SP - 24
EP - 32
JO - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
JF - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
ER -