Callaghan Russell C
Department of Psychology, University of Toronto, Toronto, Ont.
CMAJ. 2003 Jul 8;169(1):23-7.
There is a need for clinically relevant research into treatment for substance abuse among Aboriginal people. In this study, I aimed to provide a predictive model of dropout from and readmission to an inpatient detoxification program in a large treatment sample of Aboriginal patients.
I reviewed the medical charts of all self-reported First Nations people (n = 877) admitted to an inpatient detoxification centre in British Columbia, between Jan. 4, 1999, and Jan. 30, 2002, and used binary logistic regression models to identify predictors of dropout from and readmission to the program. Each of these models was validated using an independent subset of the treatment sample.
Overall, 254 (29.0%) people dropped out of the program, and 219 were readmitted. Statistically significant predictors of treatment dropout were a preferred drug other than alcohol (odds ratio [OR] 1.67, 95% confidence interval [CI] 1.12-2.50) and self-referral (OR 1.89, 95% CI 1.28-2.80). Statistically significant predictors of readmission to inpatient detoxification within a 1-year period were a previous history of detoxification treatment (OR 3.52, 95% CI 2.16-5.75) and residential instability (OR 1.82, 95% CI 1.11-2.99).
Although factors were identified that are associated with each of treatment dropout or readmission for detoxification, only the latter can be reliably predicted by them.
需要针对原住民药物滥用治疗开展具有临床相关性的研究。在本研究中,我旨在为大量原住民患者的住院戒毒项目的退出和再次入院提供一个预测模型。
我回顾了1999年1月4日至2002年1月30日期间入住不列颠哥伦比亚省一家住院戒毒中心的所有自我报告为原住民的患者(n = 877)的病历,并使用二元逻辑回归模型来确定该项目退出和再次入院的预测因素。每个模型均使用治疗样本的一个独立子集进行验证。
总体而言,254人(29.0%)退出了该项目,219人再次入院。治疗退出的统计学显著预测因素是除酒精外的首选药物(优势比[OR] 1.67,95%置信区间[CI] 1.12 - 2.50)和自我转诊(OR 1.89,95% CI 1.28 - 2.80)。1年内再次入住住院戒毒的统计学显著预测因素是既往戒毒治疗史(OR 3.52,95% CI 2.16 - 5.75)和居住不稳定(OR 1.82,95% CI 1.11 - 2.99)。
尽管已确定了与戒毒治疗退出或再次入院相关的因素,但只有后者可以通过这些因素可靠地预测。