Support for Aboriginal health services in reducing harms from alcohol: 2‐year service provision outcomes in a cluster randomized trial

Background and aims There is a higher prevalence of unhealthy alcohol use among Indigenous populations, but there have been few studies of the effectiveness of screening and treatment in primary health care. Over 24 months, we tested whether a model of service‐wide support could increase screening a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Addiction (Abingdon, England) England), 2022-03, Vol.117 (3), p.796-803
Hauptverfasser: Dzidowska, Monika, Lee, K. S. Kylie, Conigrave, James H., Dobbins, Timothy A., Hummerston, Beth, Wilson, Scott, Haber, Paul S., Gray, Dennis, Conigrave, Katherine M.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Background and aims There is a higher prevalence of unhealthy alcohol use among Indigenous populations, but there have been few studies of the effectiveness of screening and treatment in primary health care. Over 24 months, we tested whether a model of service‐wide support could increase screening and any alcohol treatment. Design Cluster‐randomized trial with 24‐month implementation (12 months active, 12 months maintenance). Setting Australian Aboriginal Community Controlled primary care services. Participants Twenty‐two services (83 032 clients) that use Communicare practice software and see at least 1000 clients annually, randomized to the treatment arm or control arm. Intervention and comparator Multi‐faceted early support model versus a comparator of waiting‐list control (11 services). Measurements A record (presence = 1, absence = 0) of: (i) Alcohol Use Disorders Identification Test—Consumption (AUDIT‐C) screening (primary outcome), (ii) any‐treatment and (iii) brief intervention. We received routinely collected practice data bimonthly over 3 years (1‐year baseline, 1‐year implementation, 1‐year maintenance). Multi‐level logistic modelling was used to compare the odds of each outcome before and after implementation. Findings The odds of being screened within any 2‐month reference period increased in both arms post‐implementation, but the increase was nearly eight times greater in early‐support services [odds ratio (OR) = 7.95, 95% confidence interval (CI) = 4.04–15.63, P 
ISSN:0965-2140
1360-0443
DOI:10.1111/add.15712