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Testing support models for implementing an evidence-based digital intervention for alcohol use disorder: results of a pragmatic hybrid implementation-effectiveness trial.
Quanbeck, Andrew; Chih, Ming-Yuan; Park, Linda; Li, Xiang; Xie, Qiang; Pulvermacher, Alice; Voelker, Samantha; Lundwall, Rachel; Eby, Katherine; Barrett, Bruce; Brown, Randy.
Afiliación
  • Quanbeck A; University of Wisconsin-Madison.
  • Chih MY; University of Kentucky.
  • Park L; University of Wisconsin-Madison.
  • Li X; University of Wisconsin-Madison.
  • Xie Q; University of Wisconsin-Madison.
  • Pulvermacher A; University of Wisconsin-Madison.
  • Voelker S; University of Wisconsin-Madison.
  • Lundwall R; University of Wisconsin-Madison.
  • Eby K; UW Health.
  • Barrett B; University of Wisconsin-Madison.
  • Brown R; University of Wisconsin Madison.
Res Sq ; 2024 Mar 28.
Article en En | MEDLINE | ID: mdl-38585768
ABSTRACT
This paper reports results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support implementation of a digital medicine intervention for persons with mild to moderate alcohol use disorder (AUD). Participants were randomly assigned to three groups representing possible digital health support models within a health system self-monitored use (n = 185), peer-supported use (n = 186), or a clinically integrated model (n = 187). Across all three groups, percentage of risky drinking days dropped from 38.4% at baseline (95%CI [35.8%, 41%]) to 22.5% (19.5%, 25.5%) at 12 months. The clinically integrated group showed significant improvements in mental health quality of life compared to the self-monitoring group (p = 0.011). However, higher rates of attrition in the clinically integrated group warrants consideration in interpreting this result. Results suggest that making a self-guided digital intervention available to patients may be a viable option for health systems looking to promote alcohol risk reduction.

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Res Sq Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Res Sq Año: 2024 Tipo del documento: Article