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治疗师的个性与治疗结果:使用坎贝尔A - B量表对交互作用假说的一项检验。

Therapist personality and treatment outcome: a test of the interaction hypothesis using the Campbell A-B scale.

作者信息

Patterson V, Heilbron D

出版信息

Psychiatr Q. 1978 Winter;50(4):320-32. doi: 10.1007/BF01064459.

Abstract

The A-B scale was developed to distinguish therapists with a high rate of therapeutic improvement with schizophrenic patients from those with a low rate. The present study tests the hypothesis, developed by Whitehorn and Betz, expanded by McNair and Lorr, of an interaction between a therapist factor, i.e. the A-B score (identified in this study by the Campbell et al. revision of the Whitehorn and Betz A-B scale), patient diagnosis, and treatment outcome. An automated data system identified all of the adult patients treated by 42 therapists during their training at a psychiatric center containing inpatient and outpatient facilities. The patient group was broken down according to diagnosis and whether or not psychotropic drugs were a major treatment modality. Using a linear logistic regression model, the slope of the line specifying log odds of improvement in relation to therapist A-B was found to be significantly different for schizophrenics and neurotics treated without drugs. (No relationship to A-B was found for drug-treated patients.) For those therapists who had treated both neurotic and schizophrenic patients (N = 19) without drugs, A-B was found to be significantly associated (p = .075) with a measure of dependence between patient type and outcome. These two findings were consistent with the hypothesized relationship between the A-B dimension, patient diagnosis, and case outcome.

摘要

A - B量表旨在区分对精神分裂症患者治疗改善率高的治疗师和治疗改善率低的治疗师。本研究检验了由怀特霍恩和贝茨提出、经麦克奈尔和洛尔扩展的一个假设,即治疗师因素(即A - B分数,本研究中由坎贝尔等人对怀特霍恩和贝茨A - B量表的修订版确定)、患者诊断和治疗结果之间的相互作用。一个自动化数据系统识别了42名治疗师在一家设有住院和门诊设施的精神病中心培训期间治疗的所有成年患者。患者组根据诊断以及精神药物是否为主要治疗方式进行了分类。使用线性逻辑回归模型,发现对于未使用药物治疗的精神分裂症患者和神经症患者,指定治疗师A - B改善对数几率的直线斜率有显著差异。(对于使用药物治疗的患者,未发现与A - B的关系。)对于那些未使用药物治疗过神经症和精神分裂症患者的治疗师(N = 19),发现A - B与患者类型和结果之间的依赖程度测量值显著相关(p = 0.075)。这两个发现与A - B维度、患者诊断和病例结果之间的假设关系一致。

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