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Predictors and Moderators of Treatment Outcomes for Anxious Children Randomized to Computer-Assisted Cognitive Behavioral Therapy or Standard Community Care.
Journal of Child and Adolescent Psychopharmacology ( IF 1.9 ) Pub Date : 2023-10-01 , DOI: 10.1089/cap.2023.0019
Orri Smárason 1, 2 , Andrew G Guzick 2 , Wayne K Goodman 2 , Alison Salloum 3 , Eric A Storch 2
Affiliation  

Introduction: Computer-assisted cognitive behavioral therapy (CCBT) for childhood anxiety disorders may aid the dissemination of CBT, while maintaining treatment fidelity. Although CCBT is an effective intervention, not everyone benefits equally from treatment. Identifying patient characteristics that predict who will benefit from treatment and to what extent can help with matching patients to suitable interventions, and allow researchers and clinicians to modify, and individualize, their treatment formats more effectively. Such predictors and moderators have not yet been examined for CCBT outcomes in anxious children and studies of more traditional treatment formats have yielded inconsistent results. Methods: Using data from a randomized clinical trial evaluating CCBT for children with anxiety disorders, this study examined predictors and moderators of treatment outcomes in a sample of 100 children (age: mean [M] = 9.82, standard deviation [SD] = 1.82), randomized to either CCBT (n = 49) or standard community care (n = 51). Potential predictors and moderators were identified from the literature and examined in stepwise multiple linear regression models, using posttreatment anxiety severity and global impairment as outcomes. Results: Parent-rated internalizing symptoms predicted posttreatment anxiety severity for both treatment groups. High pretreatment levels of anxiety severity predicted higher global impairment at posttreatment for the group receiving community care, but not for the CCBT group. Conclusion: Further research is needed to clarify which patient characteristics are associated with CCBT outcomes in a consistent way. ClinicalTrials.gov identifier: NCT01416805.

中文翻译:

随机接受计算机辅助认知行为疗法或标准社区护理的焦虑儿童治疗结果的预测因素和调节因素。

简介:针对儿童焦虑症的计算机辅助认知行为疗法 (CCBT) 可能有助于 CBT 的传播,同时保持治疗的保真度。尽管 CCBT 是一种有效的干预措施,但并非每个人都能从治疗中平等受益。识别患者特征来预测谁将从治疗中受益以及在多大程度上受益,可以帮助将患者与合适的干预措施相匹配,并使研究人员和临床医生能够更有效地修改和个性化他们的治疗形式。此类预测因子和调节因子尚未针对焦虑儿童的 CCBT 结果进行检验,而且对更传统治疗形式的研究也得出了不一致的结果。方法:本研究利用一项评估 CCBT 对焦虑症儿童的随机临床试验的数据,检查了 100 名儿童样本中治疗结果的预测因素和调节因素(年龄:平均值 [M] = 9.82,标准差 [SD] = 1.82) ,随机接受 CCBT (n = 49) 或标准社区护理 (n = 51)。从文献中确定了潜在的预测因素和调节因素,并使用治疗后焦虑严重程度和整体损伤作为结果,在逐步多元线性回归模型中进行了检查。结果:父母评价的内化症状预测了两个治疗组治疗后焦虑的严重程度。对于接受社区护理的组来说,治疗前的高焦虑严重程度预示着治疗后更高的整体损伤,但对于 CCBT 组来说则不然。结论:需要进一步的研究来阐明哪些患者特征与 CCBT 结果以一致的方式相关。ClinicalTrials.gov 标识符:NCT01416805。
更新日期:2023-10-01
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