在以人口为基础的样本中,在一项基于互联网的,通过电话辅助的CBT焦虑计划中,在小学儿童中,放学率的预测者,在该计划上花费的时间和客户满意度
Katri Kaajalaakso1, Terhi Luntamo2, Tarja Korpilahti-Leino2
1Child psychiatry, University of Turku, Turku University Hospital, Turku, Finland. ksokaa@utu.fi.
European child & adolescent psychiatry
|June 7, 2024
概括
预测儿童焦虑的基于互联网的认知行为疗法 (ICBT) 的学是关键. 在这项研究中,糟糕的治疗联盟和缺乏焦虑诊断预测了更高的退学率.
科学领域:
- 儿童和青少年心理学 儿童和青少年心理学
- 数字心理健康干预数字心理健康干预
- 临床心理学 临床心理学
背景情况:
- 童年焦虑是一个重大的问题.
- 基于互联网的认知行为疗法 (ICBT) 显示出治疗儿童焦虑的前景.
- 了解退学预测因素对于优化ICBT计划中的资源配置至关重要.
研究的目的:
- 在儿童焦虑的基于人口的ICBT干预中确定放弃的预测因素.
- 报告参与者的时间承诺和满意度.
- 为临床实践提供有关ICBT资格评估的信息.
主要方法:
- 一项随机对照试验,涉及234名芬兰儿童 (10-13岁) 患有焦虑症状.
- 参与者通过电话支持获得ICBT;家长可以访问在线材料并参加电话.
- 探索了脱学预测因素,包括家庭人口统计,儿童/家长精神病理学和治疗联盟.
主要成果:
- 23.9%的儿童退出了这项干预.
- 更高的退学风险与缺乏正式的焦虑诊断和较差的治疗联盟有关.
- 家庭人口统计和COVID-19大流行并没有预测退学.
- 每周的时间承诺平均为127分钟在线和32分钟通过电话.
- 高满意度:87%的孩子和95%的父母.
- 孩子和父母都发现电话支持很有帮助.
结论:
- 治疗联盟和确定的焦虑诊断是儿童ICBT遵守的关键因素.
- ICBT干预表明了高度的满意度和参与度,特别是在额外的电话支持下.
- 调查结果有助于识别适合ICBT的候选人,提高治疗效率和资源管理.
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