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Updated: Aug 6, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Co-design of dementia prevention program for Aboriginal Australians (DAMPAA)
Irene Mateo-Arriero1, Alexander Lalovic1, Glennette Dowden1
1Centre for Aboriginal Medical and Dental Health, University of Western Australia, Perth, WA, Australia.
Introduction:
Dementia is highly prevalent in older Aboriginal Australians, with several modifiable risk factors. Currently, there is limited evidence on how to prevent cognitive decline in Aboriginal Australians.
Methods:
Based on our Theory of Change (ToC) framework, we co-developed the Dementia risk management and prevention program for Aboriginal Australians (DAMPAA) aged over 45 years in partnership with Aboriginal community-controlled organizations (ACCOs) and Elders. Qualitative data were collected through ACCO staff workshops, Elders yarning, and governance groups to inform the protocol. Additionally, we conducted a small pilot study.
Results:
Expected DAMPAA ToC outcomes are: (1) improved daily function, (2) better cardiovascular risk management, (3) falls reduction, (4) improved quality of life, and (5) reduced cognitive decline. Attendance enablers are social interaction, environment, exercise type/level, and logistics.
Discussion:
Findings suggest that ToC is an effective collaborative approach for co-designing Aboriginal health programs.
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