Evidence map›Paper›PMID 40898313›Full record

ArticleAddiction science & clinical practice2025

Adapting the Grog survey app for alcohol screening and feedback in aboriginal and Torres Strait Islander health services: a mixed methods study protocol.

Monika Dzidowska, James H Conigrave, Scott Wilson, Noel Hayman, Jim Cook, Lydia Gu, Darren Phung, Angela Dawson, Nikki Percival, Annalee Stearne and 10 more

Abstract read
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In one paragraph

Article in Addiction science & clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Monika DzidowskaFaculty of Medicine and Health, Sydney Pharmacy School, The University of Sydney, Badham Building (A15), Sydney, NSW, Australia. monika.dzidowska@sydney.edu.au.
James H ConigraveSchool of Psychology and Public Health, La Trobe University, Centre for Alcohol Policy Research, NR1, Bundoora, Melbourne, 3086, Australia.
Scott WilsonSchool of Psychology and Public Health, La Trobe University, Centre for Alcohol Policy Research, NR1, Bundoora, Melbourne, 3086, Australia.
Noel HaymanSouthern Queensland Centre of Excellence in Aboriginal and Torres Strait Islander Primary Health Care (Inala Indigenous Health Service), 37 Wirraway Parade, Brisbane, Inala, Qld, 4077, Australia.
Jim CookInformation and Communications Technology, The University of Sydney, ICT TechLab, Services Building (G12), Sydney, NSW, Australia.
Lydia GuFaculty of Health Sciences, Curtin University, National Drug Research Institute (NDRI), Building 609, 7 Parker Place, Bentley, WA, 6102, Australia.
Darren PhungInformation and Communications Technology, The University of Sydney, ICT TechLab, Services Building (G12), Sydney, NSW, Australia.
Angela DawsonFaculty of Health, University of Technology Sydney, 235 Jones Street, Ultimo, NSW, 2007, Australia.
Nikki PercivalFaculty of Health, University of Technology Sydney, 235 Jones Street, Ultimo, NSW, 2007, Australia.
Annalee StearneSchool of Psychology and Public Health, La Trobe University, Centre for Alcohol Policy Research, NR1, Bundoora, Melbourne, 3086, Australia.
Marguerite TracyFaculty of Medicine and Health, The University of Sydney, General Practice Clinical School, Edward Ford Building (A27), Sydney, 2006, NSW, Australia.
Jimmy PerrySchool of Psychology and Public Health, La Trobe University, Centre for Alcohol Policy Research, NR1, Bundoora, Melbourne, 3086, Australia.
Tanya ChikritzhsFaculty of Health Sciences, Curtin University, National Drug Research Institute (NDRI), Building 609, 7 Parker Place, Bentley, WA, 6102, Australia.
Michelle FittsMenzies School of Health Research, Charles Darwin University, Mparntwe Alice Springs, Building 15, Springs Campus 10 Grevillea Drive, Alice Springs, Darwin, NT, 0871, Australia.
Teagan J WeatherallSchool of Psychology and Public Health, La Trobe University, Centre for Alcohol Policy Research, NR1, Bundoora, Melbourne, 3086, Australia.
Lynette BullenSchool of Psychology and Public Health, La Trobe University, Centre for Alcohol Policy Research, NR1, Bundoora, Melbourne, 3086, Australia.
Craig HollowaySchool of Psychology and Public Health, La Trobe University, Centre for Alcohol Policy Research, NR1, Bundoora, Melbourne, 3086, Australia.
Kirsten MorleyFaculty of Medicine and Health, The University of Sydney, Central Clinical School, Lev 6, King George V Building (C39), Sydney, NSW, Australia.
Mustafa Al AnsariSchool of Psychology and Public Health, La Trobe University, Centre for Alcohol Policy Research, NR1, Bundoora, Melbourne, 3086, Australia.
K S Kylie LeeSchool of Psychology and Public Health, La Trobe University, Centre for Alcohol Policy Research, NR1, Bundoora, Melbourne, 3086, Australia.

Funding

Department of Health and Aged Care, Australian Government MRF2021660
6 · The paper itself

Abstract

backgroundRoutine use of brief, structured screening tools is essential to detect and provide support for Australians who drink above recommended levels. However, detecting drinking above recommended levels in Aboriginal and Torres Strait Islander Australian primary care settings is complex. Inaccuracies in completing a screening tool such as Alcohol Use Disorders Identification Test - Consumption, can lead to errors in estimating drinking in First Nations contexts where group sharing and episodic drinking make it difficult to accurately estimate alcohol consumption with tools that assume regular drinking patterns. This can lead to under-detection of drinking and a mismatch with the subsequent care that is offered. Hence, screening tools that consider these contextual factors are needed to make it easier for First Nations Australian primary care services to screen for alcohol consumption above recommended levels. Electronic screening tools offer the technical flexibility to consider the drinking contexts Furthermore, for sensitive topics such as alcohol and other drugs, computer-based screening in the general population has been shown to provide more accurate and comprehensive responses compared with face-to-face interviews.

aimTo facilitate alcohol screening and brief intervention in First Nations Australian primary care settings by adapting the Grog App - a community survey tool validated in Aboriginal and Torres Strait Islander populations for use in primary care.

methodsThe project will use mixed-methods techniques across five study stages: 1 - Interest-holder consultation; 2 - technical development; 3 - re-validation and user interface acceptability; 4 - implementation in an Aboriginal and Torres Strait Islander primary care setting; 5 - acceptability study, six months after implementation. DISCUSSION: The project will produce a novel, culturally appropriate digital health tool and implementation resources to make it easier to conduct routine alcohol screening in primary care contexts for a priority population, which may lead to increased screening and alcohol care rates. It will also provide first-ever contextual data about implementation of new health service improvement strategy focused on an electronic alcohol consumption screening tool, which is lacking in peer-reviewed literature. This study will also provide an important evidence base for using continuous quality improvement as an implementation approach in primary care settings.

Indexed as

Alcohol DrinkingAlcoholismHealth Services, IndigenousMass ScreeningMobile ApplicationsAustraliaAustralian Aboriginal and Torres Strait Islander PeoplesHumansPrimary Health CareSurveys and QuestionnairesAboriginal and torres strait islanderAlcoholBrief interventionsContinuous quality improvementElectronic screeningFirst nationsImplementationPrimary care

Identifiers

PMID40898313
PMCPMC12403270

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.