WHAT WE LEARNED
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WHAT WE LEARNED In a clinically-referred, assisted living sample: 1.NAB Judgment (NAB-JDG) scores displayed good internal consistency reliability. 2.NAB-JDG scores predicted basic and instrumental ADLs over and above a measure of general cognitive functioning (MMSE). 3.There were significant group differences on the NAB-JDG between participants with and without informed consent decisional capacity. Elizabeth E. MacDougall, Ph.D. & William E .Mansbach, Ph.D. Hood College & MedOptions Can Judgment Predict Functioning in Assisted-Living? BACKGROUND • Neuropsychologists have called for better measures of judgment (Rabin et al., 2008). • The NAB-JDG (Stern & White, 2003) is an orally administered test that includes 10 practical judgment questions involving home safety and health/medical concerns. • There are no NAB-JDG data for dementia patients presented in the NAB manual. • Although the NAB-JDG is described in the manual as a test created with ecological validity in mind, there is no empirical evidence presented to support this claim. OBJECTIVES 1. To extend the initial work done by White and Stern (2003) on the reliability and validity of NAB-JDG scores and score inferences in an assisted-living sample with a high base rate of dementia. 2. To contribute preliminary empirical evidence regarding the ecological validity of the NAB-JDG by examining the relation of the NAB-JDG with basic and instrumental ADLs. METHODS 88 participants completed the NAB-JDG as part of a flexible battery of neuropsychological tests administered to assisted-living residents referred for evaluation of cognitive dysfunction. Exclusion criteria: •<60 years old •<5 years of education •Any medical or psychiatric symptoms that would prevent RESULTS Sample Demographics: •Median age – 84.5 •71% female •90% Caucasian •65% widowed •82% HS or more education NAB-JDG scores ranged from 1 to 20 and were normally distributed: - Mean =13.48; standard deviation = 4.06. Cronbach’s α based on standardized items =.82. Hierarchical multiple regression model with MMSE and NAB-JDG as predictors of PSMS Note: R 2 = .11 for Step 1, ΔR 2 = .08 for Step 2 (p < .01). *p < .01. Hierarchical multiple regression model with MMSE and NAB-JDG as predictors of IADLs Note: R 2 = .42 for Step 1, ΔR 2 = .08 for Step 2 (p < .001). *p < .01, **p < .001. References: Rabin, L.A., Borgos, M.J., & Saykin, A.J. (2008). A survey of neuropsychologists’ practices and perspectives regarding the assessment of judgment ability. Applied Neuropsychology, 15, 264-273. Stern, R.A., & White, T. (2003). Neuropsychological assessment battery . Lutz, FL: Psychological 18 – 10 – 5 – 0 - Yes No Did the participant have the capacity to consent? Error Bars: 95% CI Mean NAB Judgment Raw Score
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Can Judgment Predict Functioning in Assisted-Living?. Elizabeth E. MacDougall, Ph.D. & William E . Mansbach , Ph.D. Hood College & MedOptions. WHAT WE LEARNED. In a clinically-referred, assisted living sample: NAB Judgment (NAB-JDG) scores displayed good internal consistency reliability. - PowerPoint PPT Presentation
Transcript of WHAT WE LEARNED
WHAT WE LEARNED
In a clinically-referred, assisted living sample:1.NAB Judgment (NAB-JDG) scores displayed good internal consistency reliability.2.NAB-JDG scores predicted basic and instrumental ADLs over and above a measure of general cognitive functioning (MMSE). 3.There were significant group differences on the NAB-JDG between participants with and without informed consent decisional capacity.
Elizabeth E. MacDougall, Ph.D. & William E .Mansbach, Ph.D. Hood College & MedOptions
Can Judgment Predict Functioning in Assisted-Living?
BACKGROUND
• Neuropsychologists have called for better measures of judgment (Rabin et al., 2008).
• The NAB-JDG (Stern & White, 2003) is an orally administered test that includes 10 practical judgment questions involving home safety and health/medical concerns.
• There are no NAB-JDG data for dementia patients presented in the NAB manual.
• Although the NAB-JDG is described in the manual as a test created with ecological validity in mind, there is no empirical evidence presented to support this claim.
OBJECTIVES
1. To extend the initial work done by White and Stern (2003) on the reliability and validity of NAB-JDG scores and score inferences in an assisted-living sample with a high base rate of dementia.
2. To contribute preliminary empirical evidence regarding the ecological validity of the NAB-JDG by examining the relation of the NAB-JDG with basic and instrumental ADLs.
METHODS
88 participants completed the NAB-JDG as part of a flexible battery of neuropsychological tests administered to assisted-living residents referred for evaluation of cognitive dysfunction.
Exclusion criteria: •<60 years old•<5 years of education•Any medical or psychiatric symptoms that would prevent the participant from completing the evaluation
RESULTS
Sample Demographics:
•Median age – 84.5
•71% female
•90% Caucasian
•65% widowed
•82% HS or more education
NAB-JDG scores ranged from 1 to 20 and were normally distributed: - Mean =13.48; standard deviation = 4.06. Cronbach’s α based on standardized items =.82.
Hierarchical multiple regression model with MMSE and NAB-JDG as predictors of PSMS
Note: R2 = . 11 for Step 1, ΔR2 = .08 for Step 2 (p < .01). *p < .01.
Hierarchical multiple regression model with MMSE and NAB-JDG as predictors of IADLs
Note: R2 = . 42 for Step 1, ΔR2 = .08 for Step 2 (p < .001). *p < .01, **p < .001.
References:Rabin, L.A., Borgos, M.J., & Saykin, A.J. (2008). A survey of neuropsychologists’ practices and perspectives regarding the assessment of judgment ability. Applied Neuropsychology, 15, 264-273.
Stern, R.A., & White, T. (2003). Neuropsychological assessment battery. Lutz, FL: Psychological Assessment Resources.
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