Item Response Analysis of the Financial Capacity Instrument-Short Form.

OBJECTIVE: The Financial Capacity Instrument-Short Form (FCI-SF) is a performance-based measure of everyday financial skills that takes 15 min to administer. Although the FCI-SF has demonstrated excellent psychometric properties, advanced psychometric methods such as item response theory (IRT) can provide important information on the performance of individual test items in measuring financial capacity and in distinguishing between healthy and cognitively impaired individuals. METHOD: Participants were 272 older adults diagnosed with mild cognitive impairment (MCI) and 1,344 cognitively healthy controls recruited from the Mayo Clinic Study of Aging at the Mayo Clinic in Rochester, Minnesota and also from the Cognitive Observations in Seniors study at the University of Alabama at Birmingham. Participants in each study were administered the FCI-SF, which evaluates coin/currency calculation, financial conceptual knowledge, use of a checkbook/register, and use of a bank statement. RESULTS: A unidimensional two-parameter logistic model best fit the 37 FCI-SF Test items, and most FCI-SF items fit the unidimensional two-parameter model well. The results indicated that all FCI-SF items robustly distinguished cognitively healthy controls from persons with MCI. CONCLUSIONS: The study results showed that the FCI-SF performed well under IRT analysis, further highlighted the psychometric properties of the FCI-SF as a valid and reliable measure of financial capacity, and demonstrated the clinical utility of the FCI-SF in distinguishing between cognitively normal and cognitively impaired individuals.

Health-related quality of life in hoarding: A comparison to chronic conditions with high disease burden.

Hoarding disorder often results in debilitating functional impairment and may also compromise health-related quality of life (QoL). This study investigated the association between hoarding behavior and QoL relative to six highly impairing medical and psychiatric disorders in a sample of 20,722 participants enrolled in the internet-based Brain Health Registry. Nearly 1 in 8 participants (12.2%) endorsed clinically relevant hoarding symptoms (CHS). In separate multivariable linear regression models, hoarding was more strongly associated with mental QoL than diabetes (Standardizedß = -0.21, 95% CI: [-0.22, -0.20] vs. -0.01 [-0.02, 0.0]), heart disease (-0.22 [-0.23, -0.20] vs. 0.00 [-0.02, 0.01]), chronic pain (-0.18 [-0.19, -0.16] vs. -0.12 [-0.13, -0.10]), post-traumatic stress disorder (PTSD; -0.20 [-0.22, -0.19] vs. -0.07 [-0.09, -0.06]), and substance use disorder (SUD; -0.21 [-0.23, -0.20] vs. -0.04 [-0.05, -0.03]). Similarly, CHS was more strongly negatively associated with physical QoL than diabetes (-0.11 [-0.10, -0.12] vs. -0.08 [-0.06, -0.09]), major depressive disorder (-0.09 [-0.10, -0.08] vs. -0.05 [-0.06, 0.03]), PTSD (-0.11 [-0.12, -0.10] vs. -0.08 [-0.09, -0.07]), and SUD (-0.12 [-0.13, -0.09] vs. -0.01 [-0.02, 0.00]). Higher hoarding severity was associated with reductions in both mental (Standardizedß = -0.28, ΔR2 = 0.08, p < 0.0001) and physical (ß = -0.12, ΔR2 = 0.02, p < 0.0001) QoL, though the strength of the relationship between hoarding symptoms and QoL varied with depression severity. Efforts to improve the overall QoL and well-being of those with CHS are needed.

Internet-based hoarding assessment: The reliability and predictive validity of the internet-based Hoarding Rating Scale, Self-Report.

The Hoarding Rating Scale, Self Report (HRS-SR) is a 5-item assessment developed to ascertain the presence and severity of hoarding symptoms. This study aimed to evaluate the validity of an online adaptation of the HRS-SR in a remote, unsupervised internet sample of 23,214 members of the Brain Health Registry (BHR), an online research registry that evaluates and longitudinally monitors cognition, medical and psychiatric health status. Convergent validity was assessed among a sub-sample of 1,183 participants who completed additional, remote measures of self-reported hoarding behaviors. Structured clinical interviews conducted in-clinic and via video conferencing tools were conducted among 230 BHR participants; ROC curves were plotted to assess the diagnostic performance of the internet-based HRS-SR using best estimate hoarding disorder (HD) diagnoses as the gold standard. The area under the curve indicated near-perfect model accuracy, and was confirmed with 10-fold cross validation. Sensitivity and specificity for distinguishing clinically relevant hoarding were optimized using an HRS-SR total score cut-off of 5. Longitudinal analyses indicated stability of HRS-SR scores over time. Findings indicate that the internet-based HRS-SR is a useful and valid assessment of hoarding symptoms, though additional research using samples with more diverse hoarding behavior is needed to validate optimal cut-off values.

Somatic and anxiety symptoms of depression are associated with disability in late life depression.

Objectives: To assess the relationships of somatic and anxiety symptoms of depression with functional disability in a sample of older adults with late life depression.Method: Data were analyzed from 78 older adults aged 65-88 with current major depression. Somatic and anxiety symptoms from the 24-item Hamilton Depression Rating Scale (HDRS) were summed to create variables measuring severity of these symptoms. Other symptoms of depression were also assessed using the remaining items of the HDRS. Current physical health burden was assessed using the Functional Comorbidity Index (FCI). Disability was measured with the Late Life Function and Disability Instrument (LLFDI) total limitation score. A linear regression analysis was performed to assess the association of somatic and anxiety symptoms with disability independent of other factors.Results: The model accounted for 26.6% of variance in disability, (F(6,51) = 3.1, p = .01). Somatic (B = -1.9, p = .004) and anxiety (B = -3.7, p = .04) symptoms of depression were significantly associated with disability. Other depressive symptoms and physical illness burden were not associated with disability.Discussion: In older adults with major depression, somatic and anxiety symptoms of depression are associated with disability. Identification and treatment to remission of these symptoms may improve functional outcomes among older depressed adults.

Impaired Financial Capacity in Late-Life Depression: Revisiting Associations with Cognitive Functioning.

OBJECTIVES: Impairment in financial capacity is an early sign of cognitive decline and functional impairment in late life. Cognitive impairments such as executive dysfunction are well documented in late-life major depression; however, little progress has been made in assessing associations of these impairments with financial incapacity. METHODS: Participants included 95 clinically depressed and 41 nondepressed older adults without dementia. Financial capacity (assessed with the Managing Money scale of the Independent Living Scale), cognitive functioning (comprehensive neuropsychological evaluation), and depression severity (Hamilton Depression Rating Scale - 24) were assessed. T tests were used to assess group differences. Linear regression was used to analyze data. RESULTS: Depressed participants performed significantly lower on financial capacity (t = 2.98, p < .01). Among depressed participants, executive functioning (B = .24, p < .05) was associated with reduced financial capacity, controlling for age, gender, education, depression severity, and other cognitive domains. CONCLUSIONS: Our results underscore the importance of assessing financial capacity in older depressed adults as they are likely vulnerable to financial abuse even in the absence of dementia. It will be valuable to assess whether treatment for depression is an effective intervention to improve outcomes.

The Brain Health Registry: An internet-based platform for recruitment, assessment, and longitudinal monitoring of participants for neuroscience studies.

INTRODUCTION: Recruitment, assessment, and longitudinal monitoring of participants for neuroscience studies and clinical trials limit the development of new treatments. Widespread Internet use allows data capture from participants in an unsupervised setting. The Brain Health Registry, a website and online registry, collects data from participants and their study partners. METHODS: The Brain Health Registry obtains self and study partner report questionnaires and neuropsychological data, including the Cogstate Brief Battery, Lumos Labs Neurocognitive Performance Test, and MemTrax Memory Test. Participants provide informed consent before participation. RESULTS: Baseline and longitudinal data were obtained from nearly 57,000 and 28,000 participants, respectively. Over 18,800 participants were referred to, and nearly 1800 were enrolled in, clinical Alzheimer's disease and aging studies, including five observational studies and seven intervention trials. DISCUSSION: Online assessments of participants and study partners provide useful information at relatively low cost for neuroscience studies and clinical trials and may ultimately be used in routine clinical practice.

Development and assessment of a composite score for memory in the Alzheimer's Disease Neuroimaging Initiative (ADNI).

We sought to develop and evaluate a composite memory score from the neuropsychological battery used in the Alzheimer's Disease (AD) Neuroimaging Initiative (ADNI). We used modern psychometric approaches to analyze longitudinal Rey Auditory Verbal Learning Test (RAVLT, 2 versions), AD Assessment Schedule - Cognition (ADAS-Cog, 3 versions), Mini-Mental State Examination (MMSE), and Logical Memory data to develop ADNI-Mem, a composite memory score. We compared RAVLT and ADAS-Cog versions, and compared ADNI-Mem to RAVLT recall sum scores, four ADAS-Cog-derived scores, the MMSE, and the Clinical Dementia Rating Sum of Boxes. We evaluated rates of decline in normal cognition, mild cognitive impairment (MCI), and AD, ability to predict conversion from MCI to AD, strength of association with selected imaging parameters, and ability to differentiate rates of decline between participants with and without AD cerebrospinal fluid (CSF) signatures. The second version of the RAVLT was harder than the first. The ADAS-Cog versions were of similar difficulty. ADNI-Mem was slightly better at detecting change than total RAVLT recall scores. It was as good as or better than all of the other scores at predicting conversion from MCI to AD. It was associated with all our selected imaging parameters for people with MCI and AD. Participants with MCI with an AD CSF signature had somewhat more rapid decline than did those without. This paper illustrates appropriate methods for addressing the different versions of word lists, and demonstrates the additional power to be gleaned with a psychometrically sound composite memory score.

The effect of cognitive impairment on mental healthcare costs for individuals with severe psychiatric illness.

OBJECTIVE: This study was conducted to determine the effect of cognitive impairment (CI) on mental healthcare costs for older low-income adults with severe psychiatric illness. METHODS: Data were collected from 62 ethnically diverse low-income older adults with severe psychiatric illness who were participating in day programming at a large community mental health center. CI was diagnosed by a neuropsychologist utilizing the Mattis Dementia Rating Scale-Second Edition and structured ratings of functional impairment (Clinical Dementia Rating Scale). Mental healthcare costs for 6, 12, and 24-month intervals before cognitive assessments were obtained for each participant. Substance abuse history was evaluated utilizing a structured questionnaire, depression symptom severity was assessed utilizing the Hamilton Depression Rating Scale, and psychiatric diagnoses were obtained through medical chart abstraction. RESULTS: CI was exhibited by 61% of participants and was associated with significantly increased mental healthcare costs during 6, 12, and 24-month intervals. Results of a regression analysis indicated that ethnicity and CI were both significant predictors of log transformed mental healthcare costs over 24 months with CI accounting for 13% of the variance in cost data. CONCLUSIONS: CI is a significant factor associated with increased mental healthcare costs in patients with severe psychiatric illness. Identifying targeted interventions to accommodate CI may lead to improving treatment outcomes and reducing the burden of mental healthcare costs for individuals with severe psychiatric illness.

Impaired financial capacity in late life depression is associated with cognitive performance on measures of executive functioning and attention.

Few studies have evaluated the prevalence of impairments of financial capacity among individuals with psychiatric disorders. Late life depression (LLD) is a common psychiatric disorder associated with significant disability and cognitive impairment. The purpose of this investigation was to determine the prevalence and cognitive correlates of impairments of financial capacity among individuals with LLD. Participants included 65 LLD individuals and 32 comparison subjects. Assessments included measures of financial capacity, cognitive functioning, and depression symptom severity. Individuals with LLD exhibited a significantly higher rate of impaired financial capacity (22%) than the comparison group (6%). Results of a multiple regression analysis indicated that performance on measures of executive functioning and attention, but not depression severity, were most strongly associated with financial capacity performance in LLD. Our results suggest impairments of financial capacity in LLD are largely explained by cognitive functioning in these domains.