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Validation of a Computerized test of Functional Capacity.

ABSTRACT: Regulatory guidance for schizophrenia cognition clinical trials requires that the assessment of cognitive change is accompanied by a functionally meaningful endpoint. However, currently available measures are challenged by resistance to change, psychometric weaknesses, and for interview-based assessments, dependence upon the presence of an informant. The aims of the current study were to: 1) assess the validity, sensitivity, and reliability of the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) as a measure of functional capacity; 2) determine the association between performance on the VRFCAT and performance on the MATRICS Consensus Cognitive Battery (MCCB); and 3) compare the metrics of the VRFCAT with the UCSD Performance-based Skills Assessment (UPSA). 167 patients with schizophrenia and 166 healthy controls completed the VRFCAT, UPSA, and the MCCB at baseline. The VRFCAT and UPSA were completed again at follow-up. The VRFCAT, MCCB, and UPSA were very sensitive to impairment in schizophrenia (d=1.16 to 1.22). High test-retest reliability was demonstrated for VRFCAT total completion time and the UPSA total score in patients (ICC=0.81 and 0.78, respectively). The UPSA demonstrated significant practice effects in patients (d=0.35), while the VRFCAT did not (d=-0.04). VRFCAT total completion time was correlated with both UPSA (r=-0.56, p<0.0001 for patients and -0.58, p<0.0001 for controls) and MCCB Composite (r=-0.57, p<0.0001 for patients and -0.68, p<0.0001 for controls). The VRFCAT is a highly reliable and sensitive measure of functional capacity with associations to the UPSA and MCCB. These results provide encouraging support for a computerized functional capacity assessment for use in schizophrenia.

SUBMITTER: Keefe RSE

PROVIDER: S-EPMC4958510 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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Validation of a Computerized test of Functional Capacity.

Keefe Richard S E RSE Davis Vicki G VG Atkins Alexandra S AS Vaughan Adam A Patterson Tom T Narasimhan Meera M Harvey Philip D PD

Schizophrenia research 20160416 1-3

Regulatory guidance for schizophrenia cognition clinical trials requires that the assessment of cognitive change is accompanied by a functionally meaningful endpoint. However, currently available measures are challenged by resistance to change, psychometric weaknesses, and for interview-based assessments, dependence upon the presence of an informant. The aims of the current study were to: 1) assess the validity, sensitivity, and reliability of the Virtual Reality Functional Capacity Assessment T ...[more]

PMID: 27091656

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Project description:ObjectiveMultidimensional computerized adaptive testing enables precise measurements of patient-reported outcomes at an individual level across different dimensions. This study examined the construct validity of a multidimensional computerized adaptive test (CAT) for fatigue in rheumatoid arthritis (RA).MethodsThe 'CAT Fatigue RA' was constructed based on a previously calibrated item bank. It contains 196 items and three dimensions: 'severity', 'impact' and 'variability' of fatigue. The CAT was administered to 166 patients with RA. They also completed a traditional, multidimensional fatigue questionnaire (BRAF-MDQ) and the SF-36 in order to examine the CAT's construct validity. A priori criterion for construct validity was that 75% of the correlations between the CAT dimensions and the subscales of the other questionnaires were as expected. Furthermore, comprehensive use of the item bank, measurement precision and score distribution were investigated.ResultsThe a priori criterion for construct validity was supported for two of the three CAT dimensions (severity and impact but not for variability). For severity and impact, 87% of the correlations with the subscales of the well-established questionnaires were as expected but for variability, 53% of the hypothesised relations were found. Eighty-nine percent of the items were selected between one and 137 times for CAT administrations. Measurement precision was excellent for the severity and impact dimensions, with more than 90% of the CAT administrations reaching a standard error below 0.32. The variability dimension showed good measurement precision with 90% of the CAT administrations reaching a standard error below 0.44. No floor- or ceiling-effects were found for the three dimensions.ConclusionThe CAT Fatigue RA showed good construct validity and excellent measurement precision on the dimensions severity and impact. The dimension variability had less ideal measurement characteristics, pointing to the need to recalibrate the CAT item bank with a two-dimensional model, solely consisting of severity and impact.

Project description:BackgroundNeurocognitive testing is an important concussion evaluation tool, but for neurocognitive tests to be useful, their psychometric properties must be well established. Test-retest reliability of computerized neurocognitive tests can influence their clinical utility. The reliability for a commonly used computerized neurocognitive test, CNS Vital Signs, is not well established. The purpose of this study was to examine test-retest reliability and reliable change indices for CNS Vital Signs in a healthy, physically active college population.HypothesisCNS Vital Signs yields acceptable test-retest reliability, with greater reliability between the second and third test administration compared with between the first and second administration.Study designCohort study.Level of evidenceLevel 3.MethodsForty healthy, active volunteers (16 men, 24 women; mean age, 21.05 ± 2.17 years) reported to a clinical laboratory for 3 sessions, 1 week apart. At each session, participants were administered CNS Vital Signs. Outcomes included standard scores for the following CNS Vital Signs domains: verbal memory, visual memory, psychomotor speed, cognitive flexibility, complex attention, processing speed, reaction time, executive functioning, and reasoning.ResultsParticipants performed significantly better on the second session and/or third session than they did on the first testing session on 6 of 9 neurocognitive domains. Pearson r test-retest correlations between sessions ranged from 0.11 to 0.87. Intraclass correlation coefficients ranged from 0.10 to 0.86.ConclusionClinicians should consider using reliable change indices to account for practice effects, identify meaningful score changes due to pathology, and inform clinical decisions.Clinical relevanceThis study highlights the importance of clinicians understanding the psychometric properties of computerized neurocognitive tests when using them in the management of sport-related concussion. If CNS Vital Signs is administered twice within a small time frame (such as 1 week), athletes should be expected to improve between the first and second administration.

Project description:CONTEXT Unlike other areas of medicine, psychiatry is almost entirely dependent on patient report to assess the presence and severity of disease; therefore, it is particularly crucial that we find both more accurate and efficient means of obtaining that report. OBJECTIVE To develop a computerized adaptive test (CAT) for depression, called the Computerized Adaptive Test-Depression Inventory (CAT-DI), that decreases patient and clinician burden and increases measurement precision. DESIGN Case-control study. SETTING A psychiatric clinic and community mental health center. PARTICIPANTS A total of 1614 individuals with and without minor and major depression were recruited for study. MAIN OUTCOME MEASURES The focus of this study was the development of the CAT-DI. The 24-item Hamilton Rating Scale for Depression, Patient Health Questionnaire 9, and the Center for Epidemiologic Studies Depression Scale were used to study the convergent validity of the new measure, and the Structured Clinical Interview for DSM-IV was used to obtain diagnostic classifications of minor and major depressive disorder. RESULTS A mean of 12 items per study participant was required to achieve a 0.3 SE in the depression severity estimate and maintain a correlation of r = 0.95 with the total 389-item test score. Using empirically derived thresholds based on a mixture of normal distributions, we found a sensitivity of 0.92 and a specificity of 0.88 for the classification of major depressive disorder in a sample consisting of depressed patients and healthy controls. Correlations on the order of r = 0.8 were found with the other clinician and self-rating scale scores. The CAT-DI provided excellent discrimination throughout the entire depressive severity continuum (minor and major depression), whereas the traditional scales did so primarily at the extremes (eg, major depression). CONCLUSIONS Traditional measurement fixes the number of items administered and allows measurement uncertainty to vary. In contrast, a CAT fixes measurement uncertainty and allows the number of items to vary. The result is a significant reduction in the number of items needed to measure depression and increased precision of measurement.

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Validation of a Computerized test of Functional Capacity.

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Validation of a Computerized test of Functional Capacity.

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