治疗结果的预测因素和参与自导互联网提供的物质使用障碍辩证行为治疗
Alexander R Daros1,2, Thusheharan Paramasivam2, Malak Sadek2
1Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada.
通过互联网提供的辩证行为疗法 (iDBT) 对物质使用障碍 (SUD) 显示出有前途. 参与和结果的预测因素包括人口统计和预治疗症状,这表明一些人可能需要额外的支持来确保iDBT的有效性.
科学领域:
- 精神病学是一个精神病学.
- 心理学 心理学 心理学
- 数字健康数字健康
背景情况:
- 药物使用障碍 (SUD) 通常与其他心理健康状况同时发生.
- 通过互联网提供的辩证行为治疗 (iDBT) 技能培训是SUD的潜在干预措施.
- 在SUD中对iDBT参与和结果的预测因素的研究是有限的.
研究的目的:
- 探索参与和治疗结果的预测因素,在SUD的自我引导iDBT干预中.
- 确定与治疗成功和参与相关的人口和临床因素.
主要方法:
- 对SUD自导iDBT随机等候名单对照试验的二次分析 (N=72).
- 参与者进行了12周的随访,评估了SUD的严重程度,诊断和功能障碍.
- 参与度以iDBT和不活动的小时/天来衡量;使用多层次建模和回归分析.
主要成果:
- 立即iDBT手臂,更高的预治疗SUD严重程度,以及更少的SUD诊断预测了更大的SUD严重程度降低.
- 更高的变化预期和治疗前残疾预测了更大的功能残疾减少.
- 与使用iDBT>1小时相关的年龄较大;与直接手臂,白人/性少数群体身份相关的使用日数较多,抑郁症/焦虑症症状较少. 治疗前的抑郁/焦虑预测了不活动.
结论:
- 人口和临床变量影响了SUD的自我引导iDBT的参与和结果.
- 具有某些特征的个人可能需要额外的支持,以最大限度地利用iDBT的好处.
- 调查结果强调,在SUD的数字心理健康干预中需要个性化方法.
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