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Assessing the preventive effects of cognitive therapy following relief of depression: A methodological innovation.

机译:评估抑郁症缓解后认知疗法的预防效果:方法创新。

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BACKGROUND: Strategies to compute benefits from continuing cognitive therapy for patients with recurrent major depression do not take into account whether discontinuing treatments may induce temporary increases in the risk that symptoms return (discontinuation-effect). METHODS: We apply varying-effects analyses and compare findings with traditional methods to assess the effects of continuation-phase cognitive therapy. Two years of data came from 79 patients with recurrent major depression who responded to acute cognitive therapy. Patients were randomized to either an experimental cohort (n=39) who received 10-session, protocol continuation-phase therapy for 8 months, or a control cohort (n=40) who stopped protocol treatment after the acute-phase. Symptoms were assessed using the Longitudinal Interval Follow-up Evaluation (LIFE). Symptom risk rates were computed weekly by cohort as the proportion of patients at risk who were suffering from a major depressive episode. RESULTS: Significant discontinuation-effects occurred when protocol treatments stopped for both experimental and control cohorts. Following acute-phase care, traditional computation methods (week 1-35) revealed treated patients had 18% of the risk for symptoms as controls. Expanding the observation period (week 1-74) to include these discontinuation-effects revealed more modest initial effect sizes (43%), but significant long-term effects (54% for week 75-101). LIMITATIONS: Limitations include limited sample size, one-site study, confounds from patient-level interactions, and off-protocol use of depression-related care. CONCLUSIONS: Varying-effects analyses can describe how outcomes from cognitive therapy may unfold over time for patients with major depression. These analyses reveal complex longitudinal patterns that otherwise are not detectable with traditional time-to-event methods. Specifically, we observed discontinuation-effects, or temporary spikes in symptom risks that occur after treatment ends. Further research is neededto identify the mechanisms driving these effects. Future studies are needed to determine if higher risks result from the patients' anxiety as they attempt to maintain gains independent of ongoing therapy, or reflect residual symptoms previously suppressed by treatment. We also observed longer-term preventive effects from therapy. Again, further research is recommended to determine the extent to which lower risks result from coping and compensatory skills learned during cognitive therapy. These findings suggest that varying-effects analyses may provide an appealing paradigm for understanding treatment-related effects in episodic illness.
机译:背景:对于复发性重度抑郁症患者,从持续认知治疗中计算收益的策略并未考虑到停药是否会导致症状复发的风险暂时增加(停药效应)。方法:我们应用变化效果分析并将结果与​​传统方法进行比较,以评估持续阶段认知疗法的效果。两年的数据来自对急性认知疗法有反应的79例复发性重度抑郁症患者。将患者随机分为接受10个疗程,方案持续阶段治疗8个月的实验组(n = 39),或接受急性期后停止方案治疗的对照组(n = 40)。使用纵向间隔随访评估(LIFE)评估症状。症状风险率按队列每周计算一次,即患有严重抑郁发作的风险患者所占的比例。结果:实验组和对照组的方案治疗均停止时,出现了显着的停药效应。在进行急性期护理后,传统的计算方法(1-35周)显示,作为对照,治疗的患者有18%的症状风险。扩大观察期(第1-74周)以包括这些停药效应,可以发现较小的初始效应(43%),但有显着的长期效应(第75-101周为54%)。局限性:局限性包括有限的样本量,一站式研究,患者水平相互作用的混杂因素以及与抑郁症相关的护理的非协议使用。结论:各种影响分析可以描述重大抑郁症患者认知治疗的结果如何随时间变化。这些分析揭示了复杂的纵向模式,而传统的事件时间方法无法检测到这些模式。具体而言,我们观察到治疗结束后出现的停药效应或症状风险的暂时性峰值。需要进一步的研究来确定驱动这些作用的机制。需要进行进一步的研究来确定患者在尝试维持与正在进行的治疗无关的收益或反映先前被治疗抑制的残留症状时是否由焦虑引起更高的风险。我们还观察到了治疗的长期预防作用。同样,建议进行进一步的研究以确定在认知治疗过程中学习到的应对和补偿技能所导致的较低风险的程度。这些发现表明,不同效应分析可能为理解发作性疾病中与治疗相关的效应提供一个有吸引力的范例。

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