This study assessed the utility of adding the Addiction Severity Index (ASI) to demographic and clinical diagnostic information for the purpose of predicting subsequent substance use disorder service use, and use of other healthcare services by 260 veterans admitted for outpatient substance use disorder treatment. Data collected included demographics, clinical diagnoses, assessment data from the ASI, as well as measures of six-month health service utilization (e.g., substance use disorder services, other mental health services, outpatient medical visits, urgent care visits, inpatient psychiatric and medical). Multivariate analysis using Tobit regression models showed six out of seven ASI scales were significant predictors, and that combining ASI data with demographics and clinical data significantly improved prediction of health care services. It also was found that certain psychiatric and medical diagnoses were related to service use measures, and that a diagnosis of depression was related to overall healthcare utilization.

译文

这项研究评估了将成瘾严重程度指数 (ASI) 添加到人口统计学和临床诊断信息中的效用,以预测随后的物质使用障碍服务的使用情况,以及260名接受门诊物质使用障碍治疗的退伍军人使用其他医疗服务的情况。收集的数据包括人口统计学,临床诊断,ASI的评估数据以及六个月卫生服务利用率的衡量标准 (例如,物质使用障碍服务,其他精神卫生服务,门诊就诊,紧急护理就诊,住院精神病和医疗)。使用Tobit回归模型进行的多变量分析显示,七个ASI量表中有六个是重要的预测指标,并且将ASI数据与人口统计学和临床数据相结合可以显着改善对医疗保健服务的预测。还发现某些精神病学和医学诊断与服务使用措施有关,而抑郁症的诊断与总体医疗保健利用有关。

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