Morral A R, Iguchi M Y, Belding M A, Lamb R J
Department of Psychiatry, MCP-Hahnemann School of Medicine, Allegheny University of the Health Sciences, Philadelphia, Pennsylvania 19102-1192, USA.
J Consult Clin Psychol. 1997 Aug;65(4):673-85. doi: 10.1037//0022-006x.65.4.673.
This study examines an approach to identifying patterns of treatment response over time. Treatment response profiles are identified by cluster analyzing a repeated measure of patient performance collected at intervals during treatment. The procedure is demonstrated in Study 1 using monthly urinalysis results of 103 patients entering methadone maintenance treatment. The internal, external, and face validities of derived treatment response profiles are evaluated. A logistic regression model predicting treatment response is then constructed from intake variables found to correspond with the treatment response profiles. Study 2 replicates the procedures on an independent sample. Treatment response profiles facilitate the analysis of treatment response offering advantages over common measures of treatment outcome, such as performance at follow-up, change in performance from treatment entry to follow-up, or performance summed across treatment.
本研究探讨了一种识别随时间变化的治疗反应模式的方法。通过对治疗期间定期收集的患者表现的重复测量进行聚类分析来确定治疗反应概况。在研究1中，使用103名进入美沙酮维持治疗患者的月度尿液分析结果演示了该程序。评估了所推导的治疗反应概况的内部、外部和表面效度。然后根据发现与治疗反应概况相对应的入院变量构建预测治疗反应的逻辑回归模型。研究2在独立样本上重复了这些程序。治疗反应概况有助于对治疗反应进行分析，与常见的治疗结果测量方法相比具有优势，如随访时的表现、从治疗开始到随访时表现的变化或整个治疗期间的表现总和。
