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忙碌的治疗师:检查病例量作为影响结果的潜在因素。

Busy therapists: Examining caseload as a potential factor in outcome.

机构信息

Counseling and Psychological Services, Brigham Young University.

Department of Psychology, Brigham Young University.

出版信息

Psychol Serv. 2021 Nov;18(4):574-583. doi: 10.1037/ser0000462. Epub 2020 Jun 18.

Abstract

As demand increased for mental health services, especially in university counseling centers, providers have seen increasing numbers of clients. The effect of this increase on therapist caseloads is explored, with a recognition that past research on therapist caseloads lacks direct and fluctuating measures of caseload that reflect practice in naturalistic settings. Using a large dataset from a counseling center ( = 18,322), therapist caseload was conceptualized dynamically over rolling 30-day periods, using within-therapist counts of therapy sessions, unique clients seen, and the proportion of unique clients to sessions. Analysis of variance was used first to test for differences in caseload between months, years, then to test for differences between therapists ( = 173). Hierarchical linear models were constructed to examine the relationship between changes in therapist caseload across time and client outcome. Logistic and ordinal regression approaches were used to further examine this relationship for clinically significant change. Results included finding a small, but significant, effect of therapist caseload on outcome, with this finding discussed in the context of the effect sizes in the literature on therapist effects. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

随着对心理健康服务的需求增加,特别是在大学咨询中心,服务提供商看到了越来越多的客户。本文探讨了这种增加对治疗师工作量的影响,认识到过去关于治疗师工作量的研究缺乏直接和波动的工作量衡量标准,这些标准反映了自然环境中的实际情况。利用咨询中心的大型数据集(n=18322),通过治疗师在滚动 30 天内的治疗次数、服务的独特客户数量以及独特客户与治疗次数的比例,对治疗师工作量进行了动态概念化。首先使用方差分析来测试不同月份、年份之间的工作量差异,然后测试治疗师之间的差异(n=173)。构建了分层线性模型来检查治疗师工作量随时间的变化与客户结果之间的关系。使用逻辑回归和有序回归方法进一步检查了这种关系对于临床显著变化的情况。结果包括发现治疗师工作量对结果有很小但显著的影响,这一发现将在文献中关于治疗师效果的效应大小的背景下进行讨论。

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