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.
AUDIT-C
Aboriginal australians
Alcohol screening
Implementation research
Remote support
Training
Journal
BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677
Informations de publication
Date de publication:
15 Jul 2024
15 Jul 2024
Historique:
received:
12
01
2024
accepted:
18
06
2024
medline:
16
7
2024
pubmed:
16
7
2024
entrez:
15
7
2024
Statut:
epublish
Résumé
While 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. Design: Cluster randomised trial using routinely collected health data. Australia. 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. Records of AUDIT-C screening and brief intervention activity in routinely collected data. During 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. We 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. Retrospectively registered on 2018-11-21: ACTRN12618001892202.
Sections du résumé
BACKGROUND
BACKGROUND
While 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.
METHODS
METHODS
Design: Cluster randomised trial using routinely collected health data.
SETTING
METHODS
Australia.
CASES
METHODS
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
METHODS
Records of AUDIT-C screening and brief intervention activity in routinely collected data.
RESULTS
RESULTS
During 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.
CONCLUSIONS
CONCLUSIONS
We 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 REGISTRATION
BACKGROUND
Retrospectively registered on 2018-11-21: ACTRN12618001892202.
Identifiants
pubmed: 39010081
doi: 10.1186/s12913-024-11214-6
pii: 10.1186/s12913-024-11214-6
doi:
Types de publication
Journal Article
Randomized Controlled Trial
Langues
eng
Sous-ensembles de citation
IM
Pagination
813Subventions
Organisme : National Health and Medical Research Council,Australia
ID : 1155320
Organisme : National Health and Medical Research Council
ID : 1105339
Organisme : Centre of Research Excellence in Indigenous Health and Alcohol
ID : 1117198
Informations de copyright
© 2024. The Author(s).
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