Developing a tablet computer-based application ('App') to measure self-reported alcohol consumption in Indigenous Australians
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Wilson, Scott
Perry, Jimmy
Room, Robin
Callinan, Sarah
Assan, Robert
Hayman, Noel
Chikritzhs, Tanya
Gray, Dennis
Wilkes, Edward
Jack, Peter
Conigrave, Katherine M
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Abstract
Background: The challenges of assessing alcohol consumption can be greater in Indigenous communities where there may be culturally distinct approaches to communication, sharing of drinking containers and episodic patterns of drinking. This paper discusses the processes used to develop a tablet computer-based application (‘App’) to collect a detailed assessment of drinking patterns in Indigenous Australians. The key features of the resulting App are described.
Methods: An iterative consultation process was used (instead of one-off focus groups), with Indigenous cultural experts and clinical experts. Regular (weekly or more) advice was sought over a 12-month period from Indigenous community leaders and from a range of Indigenous and non-Indigenous health professionals and researchers.
Results: The underpinning principles, selected survey items, and key technical features of the App are described. Features include culturally appropriate questioning style and gender-specific voice and images; community-recognised events used as reference points to ‘anchor’ time periods; ‘translation’ to colloquial English and (for audio) to traditional language; interactive visual approaches to estimate quantity of drinking; images of specific brands of alcohol, rather than abstract description of alcohol type (e.g. ‘spirits’); images of make-shift drinking containers; option to estimate consumption based on the individual’s share of what the group drank.
Conclusions: With any survey platform, helping participants to accurately reflect on and report their drinking presents a challenge. The availability of interactive, tablet-based technologies enables potential bridging of differences in culture and lifestyle and enhanced reporting.
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BMC Medical Informatics and Decision Making
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18
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© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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Clinical sciences
Clinical sciences not elsewhere classified