Evidence map›Paper›PMID 39010081›Full record

Trial reportBMC health services research2024

No improvement in AUDIT-C screening and brief intervention rates among wait-list controls following support of Aboriginal Community Controlled Health Services: evidence from a cluster randomised trial.

James H Conigrave, K S Kylie Lee, Timothy Dobbins, Scott Wilson, José Padarian, Rowena Ivers, Kirsten Morley, Paul S Haber, Julia Vnuk, Kushani Marshall and 1 more

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC health services research, 2024. 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
–field-weighted citation impact
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

11 authors.

James H ConigraveFaculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia. j.conigrave@latrobe.edu.au.
K S Kylie LeeFaculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia.
Timothy DobbinsSchool of Population Health, UNSW Sydney, Sydney, NSW, Australia.
Scott WilsonCentre of Research Excellence in Indigenous Health and Alcohol, University of Sydney, Sydney, NSW, Australia.
José PadarianSydney Institute of Agriculture and School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.
Rowena IversGraduate School of Medicine, University of Wollongong, Wollongong, NSW, Australia.
Kirsten MorleyFaculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia.
Paul S HaberFaculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia.
Julia VnukAboriginal Health Council of South Australia, Adelaide, South Australia, Australia.
Kushani MarshallSchool of Medicine, The University of Notre Dame, Sydney, NSW, Australia.
Kate ConigraveFaculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia.

Funding

Centre of Research Excellence in Indigenous Health and Alcohol 1117198National Health and Medical Research Council 1105339National Health and Medical Research Council,Australia 1155320
6 · The paper itself

Abstract

backgroundWhile Aboriginal and Torres Strait Islander Australians are less likely to drink any alcohol than other Australians, those who drink are more likely to experience adverse alcohol-related health consequences. In a previous study, providing Aboriginal Community Controlled Health Services (ACCHSs) with training and support increased the odds of clients receiving AUDIT-C alcohol screening. A follow-up study found that these results were maintained for at least two years, but there was large variability in the effectiveness of the intervention between services. In this study, we use services that previously received support as a comparison group to test whether training and support can improve alcohol screening and brief intervention rates among wait-list control ACCHSs.

methodsDesign: Cluster randomised trial using routinely collected health data.

settingAustralia. CASES: Twenty-two ACCHSs that see at least 1000 clients a year and use Communicare as their practice management software. Intervention and comparator: After initiating support, we compare changes in screening and brief intervention between wait-list control services and services that had previously received support. MEASUREMENT: Records of AUDIT-C screening and brief intervention activity in routinely collected data.

resultsDuring the reference period we observed 357,257 instances where one of 74,568 clients attended services at least once during a two-monthly data extraction period. Following the start of support, the odds of screening (OR = 0.94 [95% CI 0.67, 1.32], p = 0.74, [Formula: see text]≈ 0.002) and brief intervention (OR = 1.43 [95% CI 0.69, 2.95], p = 0.34, [Formula: see text]≈ 0.002) did not improve for the wait-list control group, relative to comparison services.

conclusionsWe did not replicate the finding that support and training improves AUDIT-C screening rates with wait-list control data. The benefits of support are likely context dependent. Coincidental policy changes may have sensitised services to the effects of support in the earlier phase of the study. Then the COVID-19 pandemic may have made services less open to change in this latest phase. Future efforts could include practice software prompts to alcohol screening and brief intervention, which are less reliant on individual staff time or resources.

trial registrationRetrospectively registered on 2018-11-21: ACTRN12618001892202.

Indexed as

Health Services, IndigenousWaiting ListsAdultAlcoholismAustraliaAustralian Aboriginal and Torres Strait Islander PeoplesCluster AnalysisCommunity Health ServicesFemaleHumansMaleMass ScreeningMiddle AgedAboriginal australiansAlcohol screeningAUDIT-CImplementation researchRemote supportTraining

Identifiers

PMID39010081
PMCPMC11247787

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.