测试实施基于证据的酒精使用障碍数字干预的支持模型:实用混合实施-有效性试验的结果
Andrew Quanbeck1, Ming-Yuan Chih2, Linda Park1
1University of Wisconsin-Madison.
Research square
|April 8, 2024
概括
数字医学干预有效地减少了酒精使用障碍 (AUD) 患者的危险饮酒日. 对于旨在减少与酒精有关的伤害的卫生系统来说,自导方法可能是一个可行的选择.
科学领域:
- 数字医学 数字医学
- 公共卫生 公共卫生
- 行为健康 行为健康
背景情况:
- 数字干预措施对管理酒精使用障碍 (AUD) 有希望.
- 了解最佳的人类监督水平对于在医疗保健系统中有效实施至关重要.
- 本研究评估了用于轻度至中度AUD的数字医学干预的不同支持模型.
结论:
- 数字医学干预措施可以有效地降低酒精风险.
- 自动引导的数字干预可能是卫生系统的可行和可扩展的选择.
- 需要进一步的研究来优化支持模型,并减轻AUD临床综合数字健康方法的消耗.
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