Nonuse and dropout attrition for a web-based mental health intervention delivered in a post-disaster context.
Nonuse and dropout attrition for a web-based mental health intervention delivered in a post-disaster context.
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DOI：
10.1521/psyc.2012.75.3.267
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发表时间：
2012
期刊：
影响因子：
2.4
通讯作者：
Ruggiero KJ
中科院分区：
文献类型：
--
作者：
Price M;Gros DF;McCauley JL;Gros KS;Ruggiero KJ
基于网络的心理健康干预措施是一种很好的手段，可以在灾害发生后不久为受灾人口提供低成本、容易获得的护理。然而，人们在多大程度上会获得和使用这些干预措施，这在很大程度上是未知的。我们在德克萨斯州加尔维斯顿和钱伯斯两个县随机选择的1,249名成年人中研究了基于网络的心理健康干预的不使用和辍学损耗的预测因素，这两个县在2008年受到飓风艾克的打击最严重。参与者完成了一个结构化的电话采访，以评估人口统计学，灾害暴露的影响，创伤性事件的历史，心理健康症状和服务利用。访谈结束后，参与者被引导并被邀请访问基于网络的干预措施，然后在四个月后联系他们，以评估他们对网站的使用和心理健康功能。分别使用逻辑回归和泊松回归来确定未使用损耗的基线预测因子、脱落损耗的预测因子和完成干预模块的预测因子。结果表明，最强的缓冲对非使用磨损和辍学磨损是考虑寻求正式的心理健康治疗。这项研究的结果为今后在受灾地区制定和传播基于网络的干预措施提供了信息。
Web-based mental health interventions are an excellent means to provide low cost, easily accessible care to disaster-affected populations shortly after exposure to an event. However, the extent that individuals will access and use such interventions is largely unknown. We examined predictors of nonuse and dropout attrition for a web-based mental health intervention in 1,249 randomly selected adults in two Texas counties—Galveston and Chambers—that were hardest hit by Hurricane Ike in 2008. Participants completed a structured telephone interview to assess demographics, impact of disaster exposure, history of traumatic events, mental health symptoms, and service utilization. Following the interview, participants were oriented and invited to access a web-based intervention and then contacted four months later to evaluate their use of the website and mental health functioning. Separate logistic and Poisson regressions were used to determine baseline predictors of nonuse attrition, predictors of dropout attrition, and predictors of completing intervention modules. Results suggested that the strongest buffer against nonuse attrition and dropout attrition was having considered seeking formal mental health treatment. Results of this study inform the development and dissemination of web-based interventions in future disaster affected areas.
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影响因子：
3.4
作者：
Gaziano, C
通讯作者：
Gaziano, C
影响因子：
11
作者：
Kessler, R. C.;Galea, S.;Wessely, S.
通讯作者：
Wessely, S.
影响因子：
12.7
作者：
Acierno, Ron;Ruggiero, Kenneth J;Kilpatrick, Dean G
通讯作者：
Kilpatrick, Dean G
影响因子：
5
作者：
Galea, S;Vlahov, D;Kilpatrick, D
通讯作者：
Kilpatrick, D
影响因子：
3.7
作者：
Carlbring, P;Westling, BE;Andersson, G
通讯作者：
Andersson, G