Validation of Oxford Cognitive Screen: Executive Function (OCS-EF), a tablet-based executive function assessment tool amongst adolescent females in rural South Africa.
Kirsten RoweMihaela D DutaNele DemeyereRyan G WagnerAudrey E PettiforKathleen KahnStephen M TollmanGaia ScerifAlan SteinPublished in: International journal of psychology : Journal international de psychologie (2021)
Short, reliable, easily administered executive function (EF) assessment tools are needed to measure EF in low- and middle-income countries, particularly in sub-Saharan Africa given the prevalence of human immunodeficiency virus (HIV)-associated neurocognitive disorder. We administered Oxford Cognitive Screen-Executive Function (OCS-EF) to 932 rural South African females (mean age 19.7 years). OCS-EF includes seven tasks: two hot inhibition tasks (a modified Iowa Gambling Task, emotional go/no-go) and five cool EF tasks, two switching tasks (visuospatial rule-finding, geometric trails) and three working memory tasks (digit recall, selection and figure drawing). We performed confirmatory factor analysis testing whether a three-factor, two-factor hot-cool, two-factor working memory and inhibition/switching, or one-factor EF model fitted the data better. The three-factor (switching, inhibition and working memory) model had the best local and global fit (χ2 (11) 24.21, p = 0.012; RMSEA 0.036; CFI 0.920; CD 0.617). We demonstrated the feasibility of OCS-EF administration by trained laypeople, the tripartite structure of EF amongst adolescent females and the factorial validity of OCS-EF in this population and context. OCS-EF tablet-based cognitive assessment tool can be administered by trained laypeople and is a valid tool for assessing cognition at scale amongst adolescents in rural South Africa and similar environments.
Keyphrases
- working memory
- south africa
- human immunodeficiency virus
- transcranial direct current stimulation
- attention deficit hyperactivity disorder
- hiv positive
- young adults
- hepatitis c virus
- hiv infected
- risk factors
- multiple sclerosis
- high throughput
- body composition
- electronic health record
- hiv aids
- men who have sex with men
- bipolar disorder
- mild cognitive impairment
- machine learning
- white matter
- deep learning
- upper limb