Repeated assessments of depressive symptoms in randomized psychosocial intervention trials: best practice for analyzing symptom change over time.

Repeated assessments of depressive symptoms in randomized psychosocial intervention trials: best practice for analyzing symptom change over time.
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在随机心理社会干预试验中重复评估抑郁症状:分析症状随时间变化的最佳实践。

DOI:
10.1080/10503307.2022.2073289
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发表时间:
2023
期刊:
Psychotherapy research : journal of the Society for Psychotherapy Research
影响因子:
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通讯作者:
ConnollyGibbons,MaryBeth
ConnollyGibbons,MaryBeth
中科院分区:
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文献类型:
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作者:
Crits-Christoph,Paul;Gallop,Robert;Duong,Lang;Zoupou,Eirini;ConnollyGibbons,MaryBeth

文献摘要

相似文献

目的心理治疗随机试验很少测试时间效应的最佳拟合模型。当抑郁症状的重复评估为主要结果时,我们检验了不同统计模型在检验时间上的适用性。方法我们使用了三项研究的数据,这些研究比较了心理治疗对重度抑郁障碍的治疗。结果衡量标准是研究1(N= 237)和研究2(N= 100)的自我报告评分,以及研究3(N= 120)的临床医生评分,在每个疗程(研究1和2)或每月(研究3)测量抑郁症状。我们检验了线性、二次、三次、对数时间变换、分段线性和非结构化时间模式的拟合度。结果在研究1中,对数线性模型的拟合度最好(ΔAkaike信息准则[ = ]AICC7.5)。在研究2中,与最佳拟合模型相比,所有模型基本上没有支持(ΔAICcs>10),即非结构化模型。在研究3中,三次模型的拟合度最好,但并不比对数线性模型(ΔAICC = 3.5)或非结构模型(ΔAICC = 2.5)好。结论当抑郁症状的重复测量为主要结果时,试验应常规地比较不同的时间模型,包括非结构模型。
ObjectivePsychotherapy randomized trials rarely have tested for the best fitting model for time effects. We examined the fit of different statistical models for examining time when repeated assessments of depressive symptoms are the primary outcome.MethodWe used data from three studies comparing psychotherapy treatments for major depressive disorder. Outcome measures were self-report ratings for Study 1 (N= 237) and Study 2 (N= 100) and clinician ratings for Study 3 (N= 120) of depressive symptoms measured at every session (Studies 1 and 2) or monthly (Study 3). We examined the fit of the following time patterns: linear, quadratic, cubic, log transformation of time, piece-wise linear, and unstructured.ResultsIn Study 1, a log-linear model had the best fit (Δ Akaike information criterion [AICc] = 7.5). In Study 2, all models had essentially no support (Δ AICcs > 10) in comparison to the best fitting model, which was the unstructured model. In Study 3, the cubic model had the best fit, but it was not significantly better than a log-linear (Δ AICc = 3.5) or unstructured model (Δ AICc = 2.5).ConclusionsTrials should routinely compare different time models, including an unstructured model, when repeated measures of depressive symptoms are the primary outcome.