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焦虑在线项目的治疗后失访情况及其预测因素、失访偏倚和治疗效果。

Posttreatment attrition and its predictors, attrition bias, and treatment efficacy of the anxiety online programs.

作者信息

Al-Asadi Ali M, Klein Britt, Meyer Denny

机构信息

School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia.

出版信息

J Med Internet Res. 2014 Oct 14;16(10):e232. doi: 10.2196/jmir.3513.

Abstract

BACKGROUND

Although relatively new, the field of e-mental health is becoming more popular with more attention given to researching its various aspects. However, there are many areas that still need further research, especially identifying attrition predictors at various phases of assessment and treatment delivery.

OBJECTIVE

The present study identified the predictors of posttreatment assessment completers based on 24 pre- and posttreatment demographic and personal variables and 1 treatment variable, their impact on attrition bias, and the efficacy of the 5 fully automated self-help anxiety treatment programs for generalized anxiety disorder (GAD), social anxiety disorder (SAD), panic disorder with or without agoraphobia (PD/A), obsessive-compulsive disorder (OCD), and posttraumatic stress disorder (PTSD).

METHODS

A complex algorithm was used to diagnose participants' mental disorders based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision; DSM-IV-TR). Those who received a primary or secondary diagnosis of 1 of 5 anxiety disorders were offered an online 12-week disorder-specific treatment program. A total of 3199 individuals did not formally drop out of the 12-week treatment cycle, whereas 142 individuals formally dropped out. However, only 347 participants who completed their treatment cycle also completed the posttreatment assessment measures. Based on these measures, predictors of attrition were identified and attrition bias was examined. The efficacy of the 5 treatment programs was assessed based on anxiety-specific severity scores and 5 additional treatment outcome measures.

RESULTS

On average, completers of posttreatment assessment measures were more likely to be seeking self-help online programs; have heard about the program from traditional media or from family and friends; were receiving mental health assistance; were more likely to learn best by reading, hearing and doing; had a lower pretreatment Kessler-6 total score; and were older in age. Predicted probabilities resulting from these attrition variables displayed no significant attrition bias using Heckman's method and thus allowing for the use of completer analysis. Six treatment outcome measures (Kessler-6 total score, number of diagnosed disorders, self-confidence in managing mental health issues, quality of life, and the corresponding pre- and posttreatment severity for each program-specific anxiety disorder and for major depressive episode) were used to assess the efficacy of the 5 anxiety treatment programs. Repeated measures MANOVA revealed a significant multivariate time effect for all treatment outcome measures for each treatment program. Follow-up repeated measures ANOVAs revealed significant improvements on all 6 treatment outcome measures for GAD and PTSD, 5 treatment outcome measures were significant for SAD and PD/A, and 4 treatment outcome measures were significant for OCD.

CONCLUSIONS

Results identified predictors of posttreatment assessment completers and provided further support for the efficacy of self-help online treatment programs for the 5 anxiety disorders.

TRIAL REGISTRATION

Australian and New Zealand Clinical Trials Registry ACTRN121611000704998; http://www.anzctr.org.au/trial_view.aspx?ID=336143 (Archived by WebCite at http://www.webcitation.org/618r3wvOG).

摘要

背景

尽管电子心理健康领域相对较新,但随着对其各个方面研究的关注度不断提高,该领域正变得越来越受欢迎。然而,仍有许多领域需要进一步研究,特别是在评估和治疗提供的各个阶段确定损耗预测因素。

目的

本研究基于24个治疗前和治疗后的人口统计学及个人变量以及1个治疗变量,确定了治疗后评估完成者的预测因素、它们对损耗偏差的影响,以及5种完全自动化的自助焦虑治疗方案对广泛性焦虑症(GAD)、社交焦虑症(SAD)、伴或不伴有广场恐惧症的惊恐障碍(PD/A)、强迫症(OCD)和创伤后应激障碍(PTSD)的疗效。

方法

使用一种复杂算法根据《精神障碍诊断与统计手册》(第四版,文本修订版;DSM-IV-TR)的标准诊断参与者的精神障碍。那些被初步或二次诊断为5种焦虑症之一的人被提供一个为期12周的在线特定疾病治疗方案。共有3199人未正式退出12周的治疗周期,而142人正式退出。然而,只有347名完成治疗周期的参与者也完成了治疗后评估措施。基于这些措施,确定了损耗预测因素并检查了损耗偏差。基于特定焦虑严重程度评分和5项额外的治疗结果指标评估了5种治疗方案的疗效。

结果

平均而言,治疗后评估措施的完成者更有可能在网上寻求自助方案;从传统媒体或家人朋友那里听说过该方案;正在接受心理健康援助;更有可能通过阅读、听和实践学得最好;治疗前的凯斯勒6项总分较低;且年龄较大。使用赫克曼方法,这些损耗变量产生的预测概率未显示出显著的损耗偏差,因此可以进行完成者分析。使用6项治疗结果指标(凯斯勒6项总分、诊断出的疾病数量、管理心理健康问题的自信心、生活质量,以及每个特定方案焦虑症和重度抑郁发作的相应治疗前和治疗后严重程度)评估了5种焦虑治疗方案的疗效。重复测量多元方差分析显示,每个治疗方案的所有治疗结果指标都有显著多元时间效应。后续重复测量方差分析显示,GAD和PTSD的所有6项治疗结果指标都有显著改善,SAD和PD/A的5项治疗结果指标显著,OCD的4项治疗结果指标显著。

结论

研究结果确定了治疗后评估完成者的预测因素,并为5种焦虑症的在线自助治疗方案的疗效提供了进一步支持。

试验注册

澳大利亚和新西兰临床试验注册中心ACTRN121611000704

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff88/4211028/6e9316b8f035/jmir_v16i10e232_fig1.jpg

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