Related Experiment Video
Updated: Sep 7, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Differing Methodologies Are Required to Estimate Prevalence of Dementia: Single Study Types Are No Longer Reliable
Leon Flicker1, Kaarin J Anstey2, Osvaldo P Almeida1
1Western Australian Centre for Health and Ageing, Medical School, University of Western Australia, Perth, WA, Australia.
Abstract:
Population-based surveys were used to estimate community prevalence of dementia, but have low response fractions due, among other things, to difficulties in obtaining informed consent from people with diminished capacity. Cohort studies of younger people are subject to recruitment bias and non-random drop-outs. Dementia registries can delineate sub-types of dementia but have limited population coverage and are costly to maintain. Administrative datasets have low costs but may be subject to selection bias and uncertain sensitivity. We propose that astute combination of methodologies, including assessment of coverage and validity of administrative datasets, is the most cost-effective process to estimate and monitor community prevalence.
Related Concept Videos
Dementia
The progression of dementia is generally gradual....
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
Diagnostic and Statistical Manual of Mental Disorders (DSM)
Statistical Methods for Analyzing Epidemiological Data

