Testing a new model of telehealth-delivered treatment for primary care patients with alcohol use disorder: A randomized controlled trial protocol

测试一种针对初级保健酒精使用障碍患者的远程医疗治疗新模式:一项随机对照试验方案

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Abstract

BACKGROUND: The majority of adults suffering from alcohol use disorders (AUD) do not receive treatment. To address this gap in care, we must develop new models to increase identification, engagement and delivery of accessible and effective treatment. This paper describes the protocol for a randomized controlled trial (RCT) testing a novel telehealth treatment model for primary care patients with untreated AUD. METHODS: We aim to recruit 300 adults across 2 healthcare systems for this two-arm RCT. Participants, initially identified for recruitment based on AUD-related indicators in their electronic health record (EHR), are RCT-eligible if they meet AUD criteria (mild, moderate, severe), report ≥ 3 drinking days/week in past 30 days, and have not received AUD psychotherapy in the past 90 days. Participants are randomized to an intervention or enhanced usual care control (EUC) condition, both individually-delivered. The intervention includes a telephone-delivered motivational interviewing (MI) engagement session and 8 sessions of MI-Cognitive Behavioral Therapy (MI-CBT). EUC involves AUD psychoeducation, advice to reduce drinking and seek treatment, and provision of community resources. Outcomes will be measured at 3-, 6-, and 12-months; primary outcomes include: AUD psychotherapy initiation and engagement (within the study and external community) and alcohol consumption (percent drinking days and heavy drinking days). CONCLUSIONS: This study addresses whether proactive patient identification and engagement and delivery of patient-centered telehealth psychotherapy to patients with untreated AUD is effective in increasing treatment use and improving alcohol outcomes. If effective, this could be a highly scalable model for reducing the public health impact of AUD. TRIAL REGISTRATION: ClinicalTrials.gov # NCT05410561. University of Michigan HUM00204315. Ann Arbor VA IRB #1655886.

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