THE DSM-IV AND ICD-10 PERSONALITY QUESTIONNAIRE (DIP-Q) - CONSTRUCTION AND PRELIMINARY VALIDATION

Citation
H. Ottosson et al., THE DSM-IV AND ICD-10 PERSONALITY QUESTIONNAIRE (DIP-Q) - CONSTRUCTION AND PRELIMINARY VALIDATION, Nordic journal of psychiatry, 49(4), 1995, pp. 285-291
Citations number
28
Categorie Soggetti
Psychiatry
ISSN journal
08039488
Volume
49
Issue
4
Year of publication
1995
Pages
285 - 291
Database
ISI
SICI code
0803-9488(1995)49:4<285:TDAIPQ>2.0.ZU;2-X
Abstract
This paper describes the construction and preliminary validation of a new self-report inventory for personality disorders - DSM-IV and ICD-1 0 Personality Disorder Questionnaire (DIP-Q). In a consensus process t he criteria sets of DSM-IV and ICD-10 were scrutinized. Twenty-seven c riteria were judged completely identical in both systems. In addition, 20 criteria were close to identical. The total number of different cr iteria could thus be reduced from 161 to 114. Since 24 criteria could not be covered by a single statement, the final version of the DIP-Q i ncludes 135 statements reflecting the criteria and additionally 5 stat ements reflecting the general criteria. The questionnaire is generally completed within 20 min. In the preliminary validation among 33 psych iatric patients Cronbach's alpha coefficients within each personality disorder were acceptable for most personality disorders and somewhat h igher for the DSM-IV personality disorders than for those in the ICD-1 0. The criteria set of Dissocial disorder in the ICD-10 showed a negat ive alpha coefficient. When analysed dimensionally, the Pearson correl ation between pairs of disorders in the ICD-10 and the DSM-IV varied f rom 0.77 to 0.99. Kappa coefficients between pairs from each system va ried from 0.47 to 0.69. In conclusion, the ICD-10 and the DSM-IV are s imilar enough to enable the construction of a brief and comprehensive questionnaire evaluating personality disorders from both systems. Ther e are, however, significant differences between systems which must be further analysed in future full-scale validation studies.