Modeling in psychotherapy training: A randomized controlled proof-of-concept trial.

IF 4.5 1区 心理学 Q1 PSYCHOLOGY, CLINICAL
Franziska Kühne, Peter Eric Heinze, Ulrike Maaß, Florian Weck
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引用次数: 3

Abstract

Objective: Despite the importance of modeling for learning, it has only so far been investigated in a few controlled studies in psychotherapy training. We, therefore, investigated, across several study outcomes, whether modeling outperformed a control group.

Method: Sixty-nine trainees (i.e., psychology students; mean age 25.58 years, 81.2% women and 81.2% Caucasian) were randomly assigned to the intervention group (IG, manual reading plus modeling) or control group (CG, manual reading). After manual reading, IG participants watched a video of a skillfully conducted therapy session, whereas CG participants watched an unspecific tutorial (e.g., solving a Rubik's Cube). Trainees then demonstrated cognitive behavioral interventions in videotaped role-plays with (SPs). Psychotherapeutic competences and counseling skills were rated by two independent raters, on the Cognitive Therapy Scale (CTS) and the Clinical Communication Skills Scale-Short Form (CCSS-S). In addition, raters, trainees, and SPs assessed empathy (Empathy Scale [ES]) and alliance (Helping Alliance Questionnaire [HAQ]).

Results: Multilevel modeling revealed Significant Time × Group Effects, that is, psychotherapy competences (CTS, β = .26, p = .026) and counseling skills (CCSS-S, β = .31, p = .004) to increase more pre-post in the IG than in the CG (rater perspective). The same applied to the alliance (HAQ) from the external rater and SP perspectives. Trainees evaluated the alliance as improving in both groups from pre to post training (main effect).

Conclusions: The results provide initial support for modeling as important for fostering psychotherapy skills. Future studies should focus on more complex training and real patient encounters. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

心理治疗训练中的建模:一项随机对照概念验证试验。
目的:尽管建模对学习的重要性,但到目前为止,它只在少数心理治疗训练的对照研究中进行了调查。因此,我们通过几个研究结果调查了模型是否优于对照组。方法:69名学员(即心理学专业学生;平均年龄25.58岁,81.2%为女性,81.2%为白种人)随机分为干预组(IG,手工阅读加建模)和对照组(CG,手工阅读)。在手工阅读后,IG参与者观看了一段技巧娴熟的治疗过程视频,而CG参与者则观看了一段不具体的教程(例如,解魔方)。然后,受训者在与(SPs)的角色扮演录像中展示认知行为干预。心理治疗能力和咨询技巧由两名独立评判员评定,分别采用认知治疗量表(CTS)和临床沟通技巧量表-短表(CCSS-S)。此外,评分员、学员和服务提供者还对共情(共情量表[ES])和联盟(帮助联盟问卷[HAQ])进行了评估。结果:多水平模型显示了显著的时间×组效应,即心理治疗能力(CTS, β = 0.26, p = 0.026)和心理咨询技能(CCSS-S, β = 0.31, p = 0.004)在IG组中比在CG组中增加更多(更大视角)。从外部评级和SP的角度来看,这同样适用于联盟(HAQ)。从训练前到训练后,两组学员对联盟的评价都有所改善(主效应)。结论:研究结果初步支持了模型对培养心理治疗技能的重要性。未来的研究应该集中在更复杂的训练和真实的病人接触上。(PsycInfo数据库记录(c) 2023 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.00
自引率
3.40%
发文量
94
期刊介绍: The Journal of Consulting and Clinical Psychology® (JCCP) publishes original contributions on the following topics: the development, validity, and use of techniques of diagnosis and treatment of disordered behaviorstudies of a variety of populations that have clinical interest, including but not limited to medical patients, ethnic minorities, persons with serious mental illness, and community samplesstudies that have a cross-cultural or demographic focus and are of interest for treating behavior disordersstudies of personality and of its assessment and development where these have a clear bearing on problems of clinical dysfunction and treatmentstudies of gender, ethnicity, or sexual orientation that have a clear bearing on diagnosis, assessment, and treatmentstudies of psychosocial aspects of health behaviors. Studies that focus on populations that fall anywhere within the lifespan are considered. JCCP welcomes submissions on treatment and prevention in all areas of clinical and clinical–health psychology and especially on topics that appeal to a broad clinical–scientist and practitioner audience. JCCP encourages the submission of theory–based interventions, studies that investigate mechanisms of change, and studies of the effectiveness of treatments in real-world settings. JCCP recommends that authors of clinical trials pre-register their studies with an appropriate clinical trial registry (e.g., ClinicalTrials.gov, ClinicalTrialsRegister.eu) though both registered and unregistered trials will continue to be considered at this time.
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