Automated Neuropsychological Assessment Metrics (Anam) and Woodcock-Johnson III Tests of Cognitive Ability: A Concurrent Validity Study

Jones, W. Paul; Loe, Scott A.; Krach, S. Kathleen; Rager, Rhiannon Y.; Jones, Heather M

doi:10.1080/13854040701281483

Cited by 46 publications

(29 citation statements)

References 16 publications

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“…Low Ped‐ANAM TP scores have been reported in numerous clinical populations as demonstration of cognitive difficulties (8, 15, 32–35). However, we did not find the TP scores to be useful in differentiating study participants according to the level of their cognitive function, which is most likely due to atypical performance patterns that led to this variable being an overestimate of actual cognitive abilities.…”

Section: Discussionmentioning

confidence: 99%

Validation of the Pediatric Automated Neuropsychological Assessment Metrics in childhood‐onset systemic lupus erythematosus

Brunner

Klein‐Gitelman

Zelko

et al. 2013

Arthritis Care & Research

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Objective To evaluate the reproducibility and validity of the Pediatric Automated Neuropsychological Assessment Metrics (Ped-ANAM) when used in childhood-onset systemic lupus erythematosus (cSLE). Methods Forty children with cSLE and 40 matched controls were followed for up to 18 months. Formal neuropsychological testing at baseline was repeated after 18 months of follow-up; overall cognitive performance and domain-specific cognition (attention, working memory, processing speed and visuoconstructional ability) were measured and categorized as having normal cognition, mild/moderate or moderate/severe impairment. The 10 Ped-ANAM subtests were completed every 6 months and twice at baseline. Ped-ANAM performance was based on accuracy (AC), mean time to correct response (MNc), throughput, and coefficient of variation of the time required for a correct response (CVc) as a measure of response consistency. Results Particularly MNc scores demonstrated moderate to substantial reproducibility (intraclass correlation coefficients: 0.47-0.80). Means of select Ped-ANAM scores (MNc, AC, CVc) differed significantly between children with different levels of cognitive performance and allowed for the detection of moderate or severe cognitive impairment with 100% sensitivity and 86% specificity. Six Ped-ANAM subtests significantly correlated with the change in overall cognitive function in cSLE (baseline vs. 18 month; Spearman correlation coefficient > ±0.4; p<0.05, n=24). Conclusions The Ped-ANAM has moderate to substantial reproducibility, criterion and construct validity and may be responsive to change in cSLE. Additional research is required to confirm the Ped-ANAM's outstanding accuracy in identifying cognitive impairment and its usefulness in detecting clinically relevant changes in cognition over time.

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Section: Discussionmentioning

confidence: 99%

Validation of the Pediatric Automated Neuropsychological Assessment Metrics in childhood‐onset systemic lupus erythematosus

Brunner

Klein‐Gitelman

Zelko

et al. 2013

Arthritis Care & Research

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“…69 Those with previously unidentified TBI reported slightly more (rather than less) mood and physical symptoms, but the difference was not significant. Individuals in both groups performed similarly on the Automated Neuropsychological Assessment Metrics (ANAM 4) 70 computerized assessments of processing speed, attention, encoding, spatial processing, and accuracy ( P values ranged from 0.20 to 0.95), but individuals with unidentified TBI demonstrated poorer working memory ( P = 0.049). These findings indicate that, while individuals in the community with previously unidentified TBI have similar symptom profiles as individuals with known TBI and in some areas may demonstrate poorer functioning, they do not causally associate their symptoms with a prior brain injury.…”

Section: Estimating Prevalence Of Tbi In Community Samplesmentioning

confidence: 99%

Screening for Traumatic Brain Injury

Dams-O’Connor¹,

Cantor²,

Brown³

et al. 2014

Journal of Head Trauma Rehabilitation

119

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Objective To provide an overview of a series of projects that used a structured self-report screening tool in diverse settings and samples to screen for lifetime history of traumatic brain injury (TBI). Setting Diverse community settings. Participants Homeless persons (n = 111), individuals with HIV seeking vocational rehabilitation (n = 173), youth in the juvenile justice system (n = 271), public schoolchildren (n = 174), substance users (n = 845), intercollegiate athletes (n = 90), and other community-based samples (n = 396). Design Cross-sectional. Main Measure Brain Injury Screening Questionnaire. Results Screening using the Brain Injury Screening Questionnaire finds that 27% to 54% of those in high-risk populations report a history of TBI with chronic symptoms. Associations between TBI and social, academic, or other problems are evident in several studies. In non–high-risk community samples, 9% to 12% of individuals report TBI with chronic symptoms. Conclusion Systematic TBI screening can be implemented efficiently and inexpensively in a variety of settings. Lifetime TBI history data gathered using a structured self-report instrument can augment existing estimates of the prevalence of TBI, both as an acute event and as a chronic condition. Identification of individuals with TBI can facilitate primary prevention efforts, such as reducing risk for reinjury in high-risk groups, and provide access to appropriate interventions that can reduce the personal and societal costs of TBI (tertiary prevention).

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“…Several studies have addressed examining the validity of ANAM subtests with conventional paper-and-pencil tests. [18][19][20] Overall findings demonstrated that ANAM is capable of assessing cognitive constructs similar to their conventional neuropsychological counterparts in the areas of working memory, processing speed, and cognitive efficiency. Test-retest reliability on the sports version of ANAM yielded moderate correlation coefficients on almost all measures (r ranging from 0.38 to 0.66), except for the mathematical processing test that showed the highest reliability value (r ¼ 0.87) when testing athletes on average 166.5 days postbaseline.…”

Section: Automated Neuropsychological Assessment Metricsmentioning

confidence: 77%

Clinical Test Instrument Development to Identify and Track Recovery from Concussion

Bene

Sepulveda

2014

Semin Speech Lang

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Over the past 25 years, neuropsychological assessment has been the prominent clinical method for evaluating neurocognitive functioning and monitoring recovery following mild traumatic brain injury (mTBI), or concussion. During this time, neuropsychological assessment of concussion has developed extensively starting from traditional paper-and-pencil tests to the more current computerized assessment batteries that are specifically designed for evaluating mTBI. Concussion assessment is complex and challenging due to the highly variable neurocognitive behavior and the wide range of diverse symptoms that follow an injury. Therefore, neuropsychological testing is only one component of a multifaceted, comprehensive assessment approach that also includes balance testing and symptom assessment. Because concussions may go undetected, more emphasis has been placed on objective and sensitive neuropsychological measures. Factors that could affect the validity of test performance include athletes not recognizing or intentionally hiding their symptoms or sandbagging their baseline performance. Due to the complex nature of identifying and evaluating mild head injuries, the purpose of this review is to discuss (1) the clinical use of neuropsychological testing in concussion management, (2) the methods used for evaluating and monitoring recovery following concussion, (3) the characteristics of current assessment instruments, and (4) additional clinical factors and approaches for concussion assessment and management.

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Automated Neuropsychological Assessment Metrics (Anam) and Woodcock-Johnson III Tests of Cognitive Ability: A Concurrent Validity Study

Cited by 46 publications

References 16 publications

Validation of the Pediatric Automated Neuropsychological Assessment Metrics in childhood‐onset systemic lupus erythematosus

Validation of the Pediatric Automated Neuropsychological Assessment Metrics in childhood‐onset systemic lupus erythematosus

Screening for Traumatic Brain Injury

Clinical Test Instrument Development to Identify and Track Recovery from Concussion

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