Greenfield and Associates, Kensington, Maryland 20895, USA.
Am J Drug Alcohol Abuse. 2009;35(5):350-7. doi: 10.1080/00952990903108223.
Indicators of co-occurring mental health and substance abuse problems routinely collected at treatment admission in 19 State substance abuse treatment systems include a dual diagnosis and a State mental health (cognitive impairment) agency referral. These indicators have yet to be compared as predictors of treatment outcomes.
Client admission and discharge records from the Nevada substance abuse treatment program, spanning 1995-2001 were reviewed (n = 17,591). Logistic regression analyses predicted treatment completion with significant improvement (33%) and treatment readmission following discharge (21%). Using Cox regression, the number of days from discharge to treatment readmission was predicted. Examined as predictors were two mental health indicators and their interaction with other admission and treatment variables controlled.
Neither mental health indicator alone significantly predicted any of the three outcomes; however, the interaction between the two indicators significantly predicted each outcome (p < .05). Having both indices was highly associated with physical/sexual abuse, domestic violence, homelessness, out of labor force and prior treatment.
Indicator interactions may help improve substance abuse treatment outcomes prediction.
在 19 个州的物质滥用治疗系统中，在治疗入院时通常会收集同时存在心理健康和物质滥用问题的指标，包括双重诊断和州心理健康（认知障碍）机构转介。这些指标尚未被比较为治疗结果的预测指标。
回顾了内华达州物质滥用治疗计划 1995-2001 年期间的客户入院和出院记录（n = 17591）。逻辑回归分析预测了治疗完成率（33%）和出院后治疗再入院率（21%）的显著改善。使用 Cox 回归，预测了从出院到治疗再入院的天数。在控制其他入院和治疗变量的情况下，将两个心理健康指标及其与其他入院和治疗变量的交互作用作为预测因子进行了检验。
单独的心理健康指标都没有显著预测任何三个结果，但两个指标的相互作用显著预测了每个结果（p <.05）。两个指标都有高度与身体/性虐待、家庭暴力、无家可归、失业和既往治疗相关。
指标的相互作用可能有助于提高物质滥用治疗结果的预测。
