Clinician-rated ICD-11 trait domains and personality disorder types.

Personality disorders Pub Date : 2024-03-01 Epub Date: 2023-11-13 DOI:10.1037/per0000646
Bastian Lambrecht, Jonatan Simon, Bo Bach
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Abstract

The International Classification of Diseases (11th edition; ICD-11) has adopted a classification of personality disorders (PDs) that abolishes the established International Classification of Diseases (10th edition; ICD-10) PD types in favor of global severity and stylistic trait domain specifiers. The goal of the current study was to describe the empirical relationship between traditional PD types and the ICD-11 trait domains, which is anticipated to inform and guide clinicians in this profound transition. A total of 246 patients were rated by their clinicians. The Informant-Personality Inventory for ICD-11 was used to rate ICD-11 trait domains while PD types were assigned categorically according to ICD-10. Empirical associations were investigated by means of bivariate correlation and logistic regression analyses with bootstrapping. Results overall showed expected and conceptually meaningful associations between ICD-11 trait domains and categorical ICD-10 PD types, with only a few unexpected deviations. Findings suggest that ICD-11 trait domains capture stylistic features of the established PD types in a conceptually coherent manner. These findings may facilitate continuity and guide translation between categorical PD types (i.e., ICD-10 and Diagnostic and Statistical Manual of Mental Disorders [fifth edition]) and the new ICD-11 classification in mental health care. Future research should seek to replicate these findings in various clinical settings while also integrating the essential PD severity classification. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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临床评定的ICD-11特征域和人格障碍类型。
国际疾病分类(第11版);《国际疾病分类》(ICD-11)通过了一种人格障碍分类,废除了既定的《国际疾病分类》(第10版);ICD-10) PD类型支持全局严重性和风格特征域说明符。本研究的目的是描述传统PD类型与ICD-11特征域之间的经验关系,预计将在这一深刻转变中为临床医生提供信息和指导。共有246名患者由他们的临床医生打分。使用ICD-11的线人人格量表对ICD-11的特征域进行评分,而根据ICD-10对PD类型进行分类。采用双变量相关和logistic回归分析方法进行实证分析。结果显示ICD-11特征域与分类ICD-10 PD类型之间存在预期的和概念上有意义的关联,只有一些意想不到的偏差。研究结果表明,ICD-11特征域以概念上连贯的方式捕获了已建立的PD类型的风格特征。这些发现可能有助于PD分类类型(即ICD-10和《精神疾病诊断与统计手册》[第五版])与新的ICD-11精神卫生保健分类之间的连续性和指导翻译。未来的研究应寻求在不同的临床环境中复制这些发现,同时整合必要的PD严重程度分类。(PsycInfo数据库记录(c) 2023 APA,版权所有)。
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