Adaptation and Validation of Tablet-based Cognitive Assessments for Diverse Populations in Cameroon - Project Abstract Dementia prevalence in Sub-Saharan Africa is projected to increase by over 300% within the next 25 years as the population aged 60 years and older triples to more than 235 million. Beyond the demographic transition and population growth, a major driver of these increases is the growing burden of communicable and non- communicable diseases, which contributes to disability and adverse brain health outcomes. Currently, there are limited data on Alzheimer's Disease and related dementias to inform healthcare and research policies within resource-strained health systems in SSA. This gap is especially evident in French-speaking African countries (30-40% of SSA), which are critically underrepresented in ADRD research. Indeed, our recent review highlights the cultural, ethnic, linguistic, and socioeconomical challenges to dementia research in this setting. In Cameroon, ADRD mortality has increased by over 130% in 20 years and ADRD represents 12.4% of outpatient neurology consultations. Our prior work highlights the urgent need to develop and validate scalable and accessible assessment tools for ADRD to establish a robust infrastructure to support dementia diagnosis, care, and research nationwide. The growing field of digital cognitive tools offers an innovative opportunity for developing easily accessible and highly accurate neuropsychological tools for cost- and time-efficient case identification. Standardized administration, automated scoring/interpretation, and cross platform integration features can address several challenges and support the development of dementia registries – a valuable resource for dementia research and care. The main objectives of this proposal are to culturally adapt and validate a brief multi-domain digital cognitive assessment tool in Cameroon and to develop and pilot the infrastructure needed for improved dementia care and research. Specifically, we plan to culturally adapt TabCAT-BHA digital cognitive assessment in Cameroon, evaluate demographic effects on performance and generate regression-based norms in a community representative sample of healthy adults in rural and urban areas (Aim 1). Concurrently, we will examine TabCAT-BHA’s diagnostic accuracy to detect mild cognitive impairment (MCI) and dementia in the existing BRAIN Cohort and examine its neuroanatomical validity to domain specific regional patterns of brain atrophy on MRI (Aim 2). Finally, as an exploratory aim, we will determine implementation barriers to cognitive testing and dementia diagnosis in a clinical setting in Cameroon to develop the infrastructure needed for improved dementia care and research (Aim 3). These proposed studies will begin to fill the data gap on dementia research in French-Speaking Sub-Saharan Africa (FS-SSA) and provide the first ever neuroimaging data in people living with dementia in Cameroon and set the stage for more comprehensive dementia studies in FS-SSA. For future research following this proposal, we anticipate that valid digital neuropsychological tools coupled with blood biomarkers that still need validation in this setting, could be a scalable and sustainable path for ADRD research, diagnosis and care (R01 proposal)
