Evidence map›Paper›PMID 31488135›Full record

ArticleBMC medical informatics and decision making2019

Patterns of drinking in Aboriginal and Torres Strait Islander peoples as self-reported on the Grog Survey App: a stratified sample.

K S Kylie Lee, James H Conigrave, Scott Wilson, Jimmy Perry, Noel Hayman, Catherine Zheng, Mustafa Al Ansari, Michael Doyle, Robin Room, Sarah Callinan and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

4 citing papers in PubMed, 18 citations in OpenAlex.

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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

13 authors at 5 institutions in 1 country.

K S Kylie LeeDiscipline of Addiction Medicine, Indigenous Health and Substance Use, The University of Sydney, Faculty of Medicine and Health, NHMRC Centre of Research Excellence in Indigenous Health and Alcohol, King George V Building 83-117 Missenden Road, Camperdown, New South Wales, 2050, Australia. kylie.lee@sydney.edu.au.ORCID 0000-0001-5410-9464
James H ConigraveDiscipline of Addiction Medicine, Indigenous Health and Substance Use, The University of Sydney, Faculty of Medicine and Health, NHMRC Centre of Research Excellence in Indigenous Health and Alcohol, King George V Building 83-117 Missenden Road, Camperdown, New South Wales, 2050, Australia.
Scott WilsonDiscipline of Addiction Medicine, Indigenous Health and Substance Use, The University of Sydney, Faculty of Medicine and Health, NHMRC Centre of Research Excellence in Indigenous Health and Alcohol, King George V Building 83-117 Missenden Road, Camperdown, New South Wales, 2050, Australia.
Jimmy PerryAboriginal Drug and Alcohol Council South Australia, 155 Holbrooks Road, Underdale, South Australia, 5032, Australia.
Noel HaymanSouthern Queensland Centre of Excellence in Aboriginal and Torres Strait Islander Primary Health Care (Inala Indigenous Health Service), 37 Wirraway Parade, Inala, Queensland, 4077, Australia.
Catherine ZhengDiscipline of Addiction Medicine, Indigenous Health and Substance Use, The University of Sydney, Faculty of Medicine and Health, NHMRC Centre of Research Excellence in Indigenous Health and Alcohol, King George V Building 83-117 Missenden Road, Camperdown, New South Wales, 2050, Australia.
Mustafa Al AnsariDiscipline of Addiction Medicine, Indigenous Health and Substance Use, The University of Sydney, Faculty of Medicine and Health, NHMRC Centre of Research Excellence in Indigenous Health and Alcohol, King George V Building 83-117 Missenden Road, Camperdown, New South Wales, 2050, Australia.
Michael DoyleDiscipline of Addiction Medicine, Indigenous Health and Substance Use, The University of Sydney, Faculty of Medicine and Health, NHMRC Centre of Research Excellence in Indigenous Health and Alcohol, King George V Building 83-117 Missenden Road, Camperdown, New South Wales, 2050, Australia.
Robin RoomCentre for Alcohol Policy Research, La Trobe University, Bundoora, Victoria, 3084, Australia.
Sarah CallinanCentre for Alcohol Policy Research, La Trobe University, Bundoora, Victoria, 3084, Australia.
Tanya ChikritzhsCurtin University, Health Sciences, National Drug Research Institute, 10 Selby St, Shenton Park, Western Australia, 6008, Australia.
Tim SladeFaculty of Medicine and Health, Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Camperdown campus, New South Wales, 2050, Australia.
Katherine M ConigraveDiscipline of Addiction Medicine, Indigenous Health and Substance Use, The University of Sydney, Faculty of Medicine and Health, NHMRC Centre of Research Excellence in Indigenous Health and Alcohol, King George V Building 83-117 Missenden Road, Camperdown, New South Wales, 2050, Australia.
The University of Sydney · AULa Trobe University · AUAboriginal Health Council of South Australia · AUCurtin University · AUGriffith University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Grog Survey App is a visual and interactive tablet computer-based survey application. It has been shown to be an accurate and acceptable tool to help Indigenous Australians describe what they drink.

methodsThe Grog Survey App was used to enquire into patterns of drinking in a stratified sample of Indigenous Australians in urban and remote/regional sites during testing of the App. The App asked about the last four drinking occasions in the past 12 months, including preferred alcohol types and containers; and symptoms of alcohol dependence, based on ICD-11 descriptions. Drinking patterns are presented here using medians and interquartile ranges, and the thresholds set out by the Australian National and Health and Medical Research Council guidelines. Patterns of consumption are compared by gender and remoteness, using Wilcoxon rank-sum test to compare medians. Logistic regressions tested whether alcohol types and drinking containers varied by remoteness.

resultsIn this stratified sample most people either consumed nothing (21.7%), or consumed quantities which placed them at short- (95.6%) or long-term risk (47.8%) of harms. Drinkers in remote areas were more likely to drink beer, but less likely to drink pre-mixed spirits. 'Stubbies' and other beer glasses were popular in urban areas, compared with 'slabs' (cases of beer) in remote/regional areas. The use of improvised containers (i.e. empty juice bottles) did not vary by remoteness. Nearly one in six (15%) current drinkers reported experiencing at least two symptoms of alcohol dependence at least monthly. Average drinks per day was the consumption measure most highly correlated with each dependence symptom (r = 0.34-0.38).

conclusionsThe App was able to capture a wide range of preferred alcohol types and containers, and demonstrate a diversity in how alcohol is consumed. This detail was captured in a relative brief survey delivered using an interactive and appealing tablet computer-based application.

Indexed as

Self ReportSoftwareAdultAlcohol DrinkingAustraliaAustralian Aboriginal and Torres Strait Islander PeoplesComputers, HandheldFemaleHealth BehaviorHealth SurveysHumansLogistic ModelsMaleResearch DesignAboriginalAlcoholAustraliaConsumptionPatternsSurveyTorres Strait Islander

Identifiers

PMID31488135
PMCPMC6729068
OpenAlexW2971739528

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.