...
首页> 外文期刊>Journal of medical Internet research >Pretreatment Attrition and Formal Withdrawal During Treatment and Their Predictors: An Exploratory Study of the Anxiety Online Data
【24h】

Pretreatment Attrition and Formal Withdrawal During Treatment and Their Predictors: An Exploratory Study of the Anxiety Online Data

机译:治疗期间的预处理损耗和正式戒断及其预测因素:在线焦虑数据的探索性研究

获取原文

摘要

Background: Although in its infancy, the field of e-mental health interventions has been gaining popularity and afforded considerable research attention. However, there are many gaps in the research. One such gap is in the area of attrition predictors at various stages of assessment and treatment delivery.Objective: This exploratory study applied univariate and multivariate analysis to a large dataset provided by the Anxiety Online (now called Mental Health Online) system to identify predictors of attrition in treatment commencers and in those who formally withdrew during treatment based on 24 pretreatment demographic and personal variables and one clinical measure.Methods: Participants were assessed using a complex online algorithm that resulted in primary and secondary diagnoses in accordance with 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 (generalized anxiety disorder, social anxiety disorder, obsessive-compulsive disorder, posttraumatic stress disorder, and panic disorder) were offered an online 12-week disorder-specific treatment program.Results: Of 9394 potential participants, a total of 3880 clients enrolled and 5514 did not enroll in one of the treatment programs following the completion of pretreatment assessment measures (pretreatment attrition rate: 58.70%). A total of 3199 individuals did not formally withdraw from the 12-week treatment cycle, whereas 142 individuals formally dropped out (formal withdrawal during treatment dropout rate of 4.25%). The treatment commencers differed significantly (P<.001-.03) from the noncommencers on several variables (reason for registering, mental health concerns, postsecondary education, where first heard about Anxiety Online, Kessler-6 score, stage of change, quality of life, relationship status, preferred method of learning, and smoking status). Those who formally withdrew during treatment differed significantly (P=.002-.03) from those who did not formally withdraw in that they were less likely to express concerns about anxiety, stress, and depression; to rate their quality of life as very poor, poor, or good; to report adequate level of social support; and to report readiness to make or were in the process of making changes.Conclusions: This exploratory study identified predictors of pretreatment attrition and formal withdrawal during treatment dropouts for the Anxiety Online program.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).
机译:背景:尽管处于起步阶段,但电子心理健康干预领域却越来越受欢迎,并引起了广泛的研究关注。但是,这项研究存在许多空白。在评估和治疗的各个阶段中,流失预测因素的领域就是这样一个缺口。目的:这项探索性研究对焦虑在线(现称为心理健康在线)系统提供的大型数据集进行了单变量和多变量分析,以识别出预测因素。根据24个治疗前的人口统计学和个人变量以及一项临床指标,对治疗初学者和正式退出治疗者的减员方法。方法:根据《诊断和统计手册》,使用复杂的在线算法对参与者进行评估,该算法可导致主要和次要诊断精神障碍,第四版,文本修订版(DSM-IV-TR)。为那些患有5种焦虑症(广泛性焦虑症,社交焦虑症,强迫症,创伤后应激障碍和惊恐症)中的1种进行初次或继发诊断的患者提供了为期12周的针对特定疾病的在线治疗方案。 :在完成预处理评估措施后,共有3,394名潜在参与者参加了研究,其中3,880名患者登记参加,而5514名未参加其中一种治疗计划(预处理消耗率:58.70%)。共有3199个人没有正式退出12周治疗周期,而142个人正式退出了治疗(治疗退出期间的正式退出率为4.25%)。在几个变量(注册原因,精神健康问题,中学后教育)上,初学者的治疗起因与非临床医师有显着差异(P <.001-.03),在这些变量中,初次听说过焦虑在线,Kessler-6得分,变化的阶段,质量生活,人际关系状态,首选学习方法和吸烟状态)。在治疗期间正式退出的人与未正式退出的人有显着差异(P = .002-.03),因为他们不太可能对焦虑,压力和抑郁表示担忧。将他们的生活质量评为极差,差或好;报告足够的社会支持水平;结论:这项探索性研究确定了焦虑在线计划在治疗辍学期间治疗前消耗和正式停药的预测因素。试验注册:澳大利亚和新西兰临床试验注册中心ACTRN121611000704998; http://www.anzctr.org.au/trial_view.aspx?ID=336143(由WebCite存档,网址为http://www.webcitation.org/618r3wvOG)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号