title: Preliminary field trial of a putative research algorithm for diagnosing ICD-11 personality disorders in psychiatric patients: 2. Proposed trait domains.
abstract: This field trial examines the discriminant validity of five trait domains of the originally proposed research algorithm for diagnosing International Classification of Diseases (ICD)-11 personality disorders. This trial was carried out in South Korea where a total of 124 patients with personality disorder participated in the study. Participants were assessed using originally proposed monothetic trait domains of asocial-schizoid, antisocial-dissocial, anxious-dependent, emotionally unstable and anankastic-obsessional groups of the research algorithm in ICD-11. Their assessments were compared to those from the Personality Assessment Schedule interview, and the five-factor model (FFM). A total of 48.4% of patients were found to have pathology in two or more domains. In the discriminant analysis, 64.2% of the grouped cases of the originally proposed ICD-11 domains were correctly classified by the five domain categories using the Personality Assessment Schedule, with the highest accuracy in the anankastic-obsessional domain and the lowest accuracy in the emotionally unstable domain. In comparison, the asocial-schizoid, anxious-dependent and the emotionally unstable domains were moderately correlated with the FFM, whereas the anankastic-obsessional or antisocial-dissocial domains were not significantly correlated with the FFM. In this field trial, we demonstrated the limited discriminant and the convergent validities of the originally proposed trait domains of the research algorithm for diagnosing ICD-11 personality disorder. The results suggest that the anankastic, asocial and dissocial domains show good discrimination, whereas the anxious-dependent and emotionally unstable ones overlap too much and have been subsequently revised.
authors.affiliation: Department of Psychiatry, Seoul Paik Hospital, Inje University, Seoul, South Korea.|Institute of Eating Disorders and Mental Health, Inje University, Seoul, South Korea.
authors.forename: Youl-Ri
authors.initials: YR
authors.lastname: Kim
authors.affiliation: Centre for Mental Health, Department of Medicine, Imperial College, London, UK.
authors.forename: Peter
authors.initials: P
authors.lastname: Tyrer
authors.affiliation: Department of Psychiatry, Kangnam Sacred Hospital, Hallym University, Seoul, South Korea.
authors.forename: Hong-Seock
authors.initials: HS
authors.lastname: Lee
authors.affiliation: Department of Psychiatry, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, South Korea.
authors.forename: Sung-Gon
authors.initials: SG
authors.lastname: Kim
authors.affiliation: Department of Psychology, Chungbuk National University, Cheongju, South Korea.
authors.forename: Soon-Taek
authors.initials: ST
authors.lastname: Hwang
authors.affiliation: Department of Psychological & Brain Sciences, Johns Hopkins University, Baltimore, USA.
authors.forename: Gi Young
authors.initials: GY
authors.lastname: Lee
authors.affiliation: Department of Psychological Medicine, University of Otago, Dunedin, New Zealand.
authors.forename: Roger
authors.initials: R
authors.lastname: Mulder
mesh_terms: D000328:Adult; D000465:Algorithms; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D038801:International Classification of Diseases; D008297:Male; D008609:Mental Status Schedule; D010551:Personality; D010552:Personality Assessment; D010554:Personality Disorders / Q000175:diagnosis*; D055815:Young Adult