Initial investigation of test-retest reliability of home-to-home teleneuropsychological assessment in healthy, English-speaking adults

对健康英语成年人进行家庭远程神经心理评估的重测信度初步研究

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Abstract

Prior teleneuropsychological research has assessed the reliability between in-person and remote administration of cognitive assessments. Few, if any, studies have examined the test-retest reliability of cognitive assessments conducted in sequential clinic-to-home or home-to-home teleneuropsychological evaluations - a critical issue given the state of clinical practice during the COVID-19 pandemic. This study examined this key psychometric question for several cognitive tests administered over repeated videoconferencing visits 4-6 months apart in a sample of healthy English-speaking adults. A total of 44 participants (ages 18-75) completed baseline and follow-up cognitive testing 4-6 months apart. Testing was conducted in a home-to-home setting over HIPAA-compliant videoconferencing meetings on participants' audio-visual enabled laptop or desktop computers. The following measures were repeated at both virtual visits: the Controlled Oral Word Association Test (FAS), Category Fluency (Animals), and Digit Span Forward and Backward from the Wechsler Adult Intelligence Scale, Fourth Edition. Intraclass correlation coefficients (ICC), Pearson correlations, root mean square difference (RMSD), and concordance correlation coefficients (CCC) were calculated as test-retest reliability metrics, and practice effects were assessed using paired-samples t-tests. Some tests exhibited small practice effects, and test-retest reliability was marginal or worse for all measures except FAS, which had adequate reliability (based on ICC and r). Reliability estimates with RMSD suggested that change within +/- 1 SD on these measures may reflect typical test-retest variability. The included cognitive measures exhibited questionable reliability over repeated home-to-home videoconferencing evaluations. Future teleneuropsychology test-retest reliability research is needed with larger, more diverse samples and in clinical populations.

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