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- Title
The preliminary efficacy of virtual agent-assisted intelligent rehabilitation treatment (Echo app v2.0) in patients with alcohol use disorders: Study protocol for a randomized controlled trial.
- Authors
Li, Shuo; Zhang, Dapeng; Liu, Jingyang; Su, Hang; Guo, Lei; Wu, Qianying; Du, Jiang; Jiang, Haifeng; Zhong, Na; Huang, Chuanning; Chen, Tianzhen; Zhao, Min
- Abstract
Background: Alcohol use disorder (AUD) is one of the most common substance use disorders. People with AUD are in great need of highly accessible and comprehensive management, involving medicine, exercise, and psychotherapy. However, due to limited resources, providing comprehensive treatment for every patient is challenging. Virtual agent-assisted intelligent rehabilitation treatment can improve the accessibility of comprehensive management. Objectives: This randomized controlled trial aims to test whether the virtual agent-assisted intelligent rehabilitation treatment (Echo-app-v2.0) plus treatment as usual (TAU) has greater efficacy than only TAU in AUD. Methods: One hundred participants with AUD will be recruited and randomly assigned to either TAU or virtual agent-assisted intelligent rehabilitation treatment plus TAU based on the 1:1 ratio. The virtual agent-assisted intelligent rehabilitation treatment is delivered by the Echo app v2.0 developed by our research team. Participants will be assessed at baseline, week 4 of treatment, one month, and three months after the end of treatment. The primary outcome is the participants' craving for alcohol, measured by Visual Analogue Scale. Other outcomes include the use of alcohol, motivation for treatment, coping style, depression, anxiety, impulsivity, stress, and sleep quality. Discussion: The virtual agent, with vivid human image, high privacy, and the ability to interact with users, has the potential to play an important role in the delivery of digital psychotherapy. The development of Echo app v2.0 has the possibility to raise the availability of comprehensive treatment for people with AUD.
- Publication
Digital Health, 2023, p1
- ISSN
2055-2076
- Publication type
Article
- DOI
10.1177/20552076231219432