Farina Benedetto, Monticelli Fabio, Mantione Maria Giuseppina, Pancheri Lucia, Speranza Anna Maria, Brasini Maurizio, Imperatori Claudio
Department of Human Science, European University of Rome, Italy - Centro Clinico De Sanctis, Rome, Italy.
Centro Clinico De Sanctis, Rome, Italy.
Riv Psichiatr. 2017 May-Jun;52(3):117-119. doi: 10.1708/2722.27763.
Assessing Interpersonal Motivations in Transcripts (AIMIT) is a validated coding system to assess the activation of interpersonal motivational systems (IMS) in the transcripts of psychotherapy sessions. The Transition Index (TI) is an AIMIT measure that reflects the levels of organisation, synchronisation and harmony amongst two or more IMS when they are rapidly shifting or simultaneously in the clinical dialogue. It is supposed to be a measure of integration and coherence of the patient’s state of mind within the psychotherapeutic sessions. It has also been hypothesized that low TI could be a marker for disorganization of attachment of the patient leading to difficulties in the therapeutic relationships and ruptures in the therapeutic alliance. In order to assess this hypothesis we tested its capability to discriminate between Adult Attachment Interview (AAI) organized and disorganized individuals.
Two groups of 15 transcriptions of AAI matched for age and sex, one classified as free-autonomous and one as disorganized, were analysed by the AIMIT method.
Compared to organized individuals, disorganized patients at AAI reported lower TI scores (3.7±0.63 vs 3.0±0.53; F=2.98, p=0.005). Furthermore, TI showed a good discriminant capability (Wilks’ Lambda=0.77, p=0.004).
This result seems to confirm the usefulness and reliability of AIMIT analysis in evaluating the interpersonal difficulties which often characterize the therapeutic relationship with disorganized attachment patients.
评估治疗记录中的人际动机(AIMIT)是一种经过验证的编码系统,用于评估心理治疗会话记录中人际动机系统(IMS)的激活情况。转换指数(TI)是AIMIT的一项指标,反映了两个或多个IMS在临床对话中快速转换或同时出现时的组织、同步和协调水平。它被认为是衡量心理治疗过程中患者心理状态整合与连贯程度的指标。也有假设认为,低TI可能是患者依恋紊乱的标志,导致治疗关系出现困难以及治疗联盟破裂。为了评估这一假设,我们测试了其区分成人依恋访谈(AAI)组织型和紊乱型个体的能力。
采用AIMIT方法分析两组各15份年龄和性别匹配的AAI转录本,一组归类为自由自主型,另一组归类为紊乱型。
与组织型个体相比,AAI中的紊乱型患者TI得分较低(3.7±0.63对3.0±0.53;F=2.98,p=0.005)。此外,TI显示出良好的判别能力(威尔克斯’λ=0.77,p=0.004)。
这一结果似乎证实了AIMIT分析在评估人际困难方面的有用性和可靠性,这些人际困难通常是与依恋紊乱患者的治疗关系的特征。