Lieberman Morton A
University of California, San Francisco, Mill Valley, California 94941, USA.
Cyberpsychol Behav. 2007 Dec;10(6):741-8. doi: 10.1089/cpb.2007.9956.
Researchers of Internet health interventions have begun to address the problems of high attrition rates. Attrition has been a problem for psychosocial interventions for nearly 50 years. It is ubiquitous no matter what the type of intervention or the modality of delivery. Consistent are the repeated findings that demographic characteristics are the most robust variables. We tested the hypothesis that the greater the fear and apprehension experienced in professionally led Internet support groups, the more likely the participants would not complete the 25-week intervention. The sample consisted of 66 people with Parkinson's disease; each participant was assigned to one of six chat groups. To assess psychological states, we used PCAD, a text analysis program analyzing each person's postings during each chat room session. There was a statistically significant difference between those who terminated the group early and those who completed the intervention on the Anxiety-Fear dimension, F=2.35, (6,63), p=0.03. People who dropped out demonstrated higher death and shame anxiety. A number of possible designs for online groups that may reduce premature attrition are discussed.
互联网健康干预研究人员已开始着手解决高流失率问题。近50年来,流失一直是心理社会干预面临的一个问题。无论干预类型或实施方式如何,它都普遍存在。反复的研究结果一致表明,人口统计学特征是最具影响力的变量。我们检验了这样一个假设:在由专业人员主导的互联网支持小组中,参与者体验到的恐惧和担忧越强烈,就越有可能无法完成为期25周的干预。样本包括66名帕金森病患者;每位参与者被分配到六个聊天小组中的一个。为了评估心理状态,我们使用了PCAD,这是一个文本分析程序,用于分析每个人在每个聊天室会话期间的发帖内容。在焦虑-恐惧维度上,提前退出小组的人与完成干预的人之间存在统计学上的显著差异,F=2.35,(6,63),p=0.03。退出的人表现出更高的死亡和羞耻焦虑。本文还讨论了一些可能减少过早流失的在线小组设计。