Department of Educational Psychology.
Department of Psychology.
J Consult Clin Psychol. 2021 Mar;89(3):200-213. doi: 10.1037/ccp0000635.
Most research on the dose-effect (DE) and good-enough level (GEL) models of change has used general outcome measures. The purpose of this study was to determine if predictions from these models generalize to specific presenting concerns and outcome measures.
A large sample of treatment-seeking college students (N = 64,319) who attended different numbers of therapy sessions and completed the College Counseling Assessment of Psychological Symptoms-34 (CCAPS-34, Locke et al., , 2012, , p. 151) during sessions was used. An analysis of reliable and clinically significant improvement (RCSI) and latent growth curve models (LGCMs) were used for clients attending different numbers of sessions across eight scales from the CCAPS-34 to examine the: (a) amount of change from the first to last session, (b) rates of RCSI, (c) shape of change trajectories, and (d) rates of change across sessions.
Across all CCAPS-34 scales, clients who attended more sessions tended to experience more improvement, had higher rates of RCSI, and the trajectories of change were nonlinear, consistent with the DE model. Clients who attended fewer sessions tended to experience faster rates of change than those who attended more sessions, consistent with the GEL model.
Aspects of both the DE and GEL models appear to generalize to specific outcome measures on the CCAPS-34. Results suggest both individual differences in sensitivity to therapy and amount of therapy received influence therapeutic change. A greater focus on individual needs, especially early in treatment, may be especially important when determining the length of therapy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
大多数关于变化的剂量效应(DE)和足够好水平(GEL)模型的研究都使用了一般的结果测量。本研究的目的是确定这些模型的预测是否可以推广到特定的表现问题和结果测量。
使用了一个来自不同数量治疗会议的寻求治疗的大学生的大样本(N=64319),他们在会议期间完成了不同数量的治疗会议,并完成了大学咨询心理症状评估-34(CCAPS-34,Locke 等人,2012,第 151 页)。使用可靠和临床显著改善(RCSI)和潜在增长曲线模型(LGCM)对参加不同数量会议的客户进行分析,以检查以下八个 CCAPS-34 量表的变化幅度:(a)从第一到最后一次会议的变化量,(b)RCSI 的比率,(c)变化轨迹的形状,以及(d)会议期间的变化率。
在所有 CCAPS-34 量表中,参加更多会议的客户往往会经历更多的改善,RCSI 的比率更高,而且变化轨迹是非线性的,符合 DE 模型。参加较少会议的客户的变化率往往比参加更多会议的客户快,符合 GEL 模型。
DE 和 GEL 模型的各个方面似乎都可以推广到 CCAPS-34 的特定结果测量。结果表明,对治疗的敏感性和接受治疗的量的个体差异都会影响治疗变化。在确定治疗的长度时,更加关注个体的需求,特别是在治疗的早期,可能尤为重要。