Affiliations: [a]
Western Australian Centre for Health and Ageing, Medical School, University of Western Australia, Perth, WA, Australia
| [b] UNSW Ageing Futures Institute, University of New South Wales, Sydney, NSW, Australia
| [c] School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| [d]
Australian Institute of Health and Welfare, Canberra, ACT, Australia
Correspondence:
[*]
Correspondence to: Leon Flicker, WA Centre for Health & Ageing (M577), Medical School, University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia. Tel.: +61 8 92240377; Fax: +61 8 92240364; E-mail: [email protected].
Abstract: 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.
Keywords: Data linkage, dementia, methodology, population-based, prevalence, surveys
