Binary classification threatens the validity of cognitive impairment detection
| Autor: | Maryse J. Luijendijk, Heleen E. M. Feenstra, Ivar E. Vermeulen, Jaap M. J. Murre, Sanne B. Schagen |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Neuropsychology. 37:344-350 |
| ISSN: | 1931-1559 0894-4105 |
| Popis: | Neuropsychological literature reports varying prevalence of cognitive impairment within patient populations, despite assessment with standardized neuropsychological tests. Within the domain of oncology, the International Cognition and Cancer Task Force (ICCTF) proposed standard cutoff points to harmonize the operationalization of cognitive impairment. We evaluated how this binary classification affects agreement between two highly comparable test batteries.Two hundred non-central nervous system (non-CNS) cancer patients who finished treatment (56% females; median age 53 yrs) completed traditional tests and their online equivalents in a counterbalanced design. Following ICCTF standards, impairment was defined as a score of ≥ 1.5 standard deviations (The correlation between total scores of traditional and online assessment was .78. Proportions of impaired patients did not differ between assessment methods: 40% using traditional tests and 38% using online equivalents, χ²(1) = .17,Our results show that binary classification can lead to a situation where two highly similar batteries fail to identify the same individuals as impaired. Additional simulations suggest that within-person agreement between assessment methods using binary classification is inherently low. Modern statistical tools may help to improve validity of impairment detection. (PsycInfo Database Record (c) 2022 APA, all rights reserved). |
| Databáze: | OpenAIRE |
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