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Predicting client attendance at further treatment following drug and alcohol detoxification: Theory of Planned Behaviour and Implementation Intentions

机译:预测在戒毒和戒毒后客户的进一步治疗:计划行为理论和实施意图

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Introduction and Aims. Despite clinical recommendations that further treatment is critical for successful recovery following drug and alcohol detoxification, a large proportion of clients fail to attend treatment after detoxification. In this study, individual factors and constructs based on motivational and volitional models of health behaviour were examined as predictors of post-detoxification treatment attendance. Design and Methods. The sample consisted of 220 substance-dependent individuals participating in short-term detoxification programs provided by The Australian Salvation Army. The Theory of Planned Behaviour and Implementation Intentions were used to predict attendance at subsequent treatment. Results. Follow-up data were collected for 177 participants (81%), with 104 (80%) of those participants reporting that they had either attended further formal treatment (e.g. residential rehabilitation programs, outpatient counselling) or mutual support groups in the 2 weeks after leaving the detoxification program. Logistic regression examined the predictors of further treatment attendance. The full model accounted for 21% of the variance in treatment attendance, with attitude and Implementation Intentions contributing significantly to the prediction. Discussion and Conclusions. Findings from the present study would suggest that assisting clients to develop a specific treatment plan, as well as helping clients to build positive perceptions about subsequent treatment, will promote greater attendance at further treatment following detoxification.
机译:简介和目的。尽管临床上建议进行进一步的治疗对于戒毒戒酒后的成功康复至关重要,但仍有很大一部分客户在戒毒后无法参加治疗。在这项研究中,基于健康行为的动机和自愿模型的个体因素和结构作为排毒后治疗出勤率的预测因素进行了检验。设计和方法。该样本由220名依赖药物的个体组成,他们参加了澳大利亚救助军提供的短期排毒计划。计划行为和实施意图理论用于预测随后的治疗出勤率。结果。收集了177位参与者(81%)的随访数据,其中104位参与者(80%)报告他们在术后2周内曾参加过进一步的正规治疗(例如,住院康复计划,门诊咨询)或互助小组离开排毒程序。 Logistic回归检查了进一步就诊的预测因素。完整模型占治疗出勤率差异的21%,态度和实施意向对预测的贡献很大。讨论和结论。本研究的结果表明,协助服务对象制定具体的治疗计划,以及帮助服务对象建立对后续治疗的积极认识,将促进戒毒后更多人接受进一步的治疗。

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