Literature DB >> 21861952

Concordance between personality disorder assessment methods.

G Nestadt1, C Di, J F Samuels, Y-J Cheng, O J Bienvenu, I M Reti, P Costa, W W Eaton, K Bandeen-Roche.   

Abstract

BACKGROUND: Studies have criticized the low level of agreement between the various methods of personality disorder (PD) assessment. This is an important issue for research and clinical purposes.
METHOD: Seven hundred and forty-two participants in the Hopkins Epidemiology of Personality Disorders Study (HEPS) were assessed on two occasions using the Personality Disorder Schedule (PDS) and the International Personality Disorder Examination (IPDE). The concordance between the two diagnostic methods for all DSM-IV PDs was assessed using standard methods and also two item response analytic approaches designed to take account of measurement error: a latent trait-based approach and a generalized estimating equations (GEE)-based approach, with post-hoc adjustment.
RESULTS: Raw criteria counts, using the intraclass correlation coefficient (ICC), κ and odds ratio (OR), showed poor concordance. The more refined statistical methods showed a moderate to moderately high level of concordance between the methods for most PDs studied. Overall, the PDS produced lower prevalences of traits but higher precision of measurement than the IPDE. Specific criteria within each PD showed varying endorsement thresholds and precision for ascertaining the disorder.
CONCLUSIONS: Concordance in the raw measurement of the individual PD criteria between the two clinical methods is lacking. However, based on two statistical methods that adjust for differential endorsement thresholds and measurement error in the assessments, we deduce that the PD constructs themselves can be measured with a moderate degree of confidence regardless of the clinical approach used. This may suggest that the individual criteria for each PD are, in and of themselves, less specific for diagnosis, but as a group the criteria for each PD usefully identify specific PD constructs.

Entities:  

Mesh:

Year:  2011        PMID: 21861952      PMCID: PMC3698972          DOI: 10.1017/S0033291711001632

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  13 in total

1.  Multivariate continuation ratio models: connections and caveats.

Authors:  P J Heagerty; S L Zeger
Journal:  Biometrics       Date:  2000-09       Impact factor: 2.571

Review 2.  Problems and considerations in the valid assessment of personality disorders.

Authors:  J C Perry
Journal:  Am J Psychiatry       Date:  1992-12       Impact factor: 18.112

3.  Contrasting prototypes and dimensions in the classification of personality pathology: evidence that dimensions, but not prototypes, are robust.

Authors:  N R Eaton; R F Krueger; S C South; L J Simms; L A Clark
Journal:  Psychol Med       Date:  2010-09-22       Impact factor: 7.723

4.  Latent structure of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition personality disorder criteria.

Authors:  Gerald Nestadt; Fang-Chi Hsu; Jack Samuels; O Joseph Bienvenu; Irving Reti; Paul T Costa; William W Eaton
Journal:  Compr Psychiatry       Date:  2006 Jan-Feb       Impact factor: 3.735

5.  Interobserver reliability of a "Standardized Psychiatric Examination" (SPE) for case ascertainment (DSM-III).

Authors:  A J Romanoski; G Nestadt; R Chahal; A Merchant; M F Folstein; E M Gruenberg; P R McHugh
Journal:  J Nerv Ment Dis       Date:  1988-02       Impact factor: 2.254

6.  Longitudinal data analysis for discrete and continuous outcomes.

Authors:  S L Zeger; K Y Liang
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

7.  Prevalence and correlates of personality disorders in a community sample.

Authors:  Jack Samuels; William W Eaton; O Joseph Bienvenu; Clayton H Brown; Paul T Costa; Gerald Nestadt
Journal:  Br J Psychiatry       Date:  2002-06       Impact factor: 9.319

8.  Comparison of the lay Diagnostic Interview Schedule and a standardized psychiatric diagnosis. Experience in eastern Baltimore.

Authors:  J C Anthony; M Folstein; A J Romanoski; M R Von Korff; G R Nestadt; R Chahal; A Merchant; C H Brown; S Shapiro; M Kramer
Journal:  Arch Gen Psychiatry       Date:  1985-07

9.  DSM-III personality disorders in the community.

Authors:  J F Samuels; G Nestadt; A J Romanoski; M F Folstein; P R McHugh
Journal:  Am J Psychiatry       Date:  1994-07       Impact factor: 18.112

10.  Onset and recovery from panic disorder in the Baltimore Epidemiologic Catchment Area follow-up.

Authors:  W W Eaton; J C Anthony; A Romanoski; A Tien; J Gallo; G Cai; K Neufeld; T Schlaepfer; J Laugharne; L S Chen
Journal:  Br J Psychiatry       Date:  1998-12       Impact factor: 9.319

View more
  2 in total

1.  Convergent and incremental predictive validity of clinician, self-report, and structured interview diagnoses for personality disorders over 5 years.

Authors:  Douglas B Samuel; Charles A Sanislow; Christopher J Hopwood; M Tracie Shea; Andrew E Skodol; Leslie C Morey; Emily B Ansell; John C Markowitz; Mary C Zanarini; Carlos M Grilo
Journal:  J Consult Clin Psychol       Date:  2013-05-06

2.  Impact of Personality Disorder Cluster on Depression Outcomes Within Collaborative Care Management Model of Care.

Authors:  Merit P George; Gregory M Garrison; Zachary Merten; Dagoberto Heredia; Cesar Gonzales; Kurt B Angstman
Journal:  J Prim Care Community Health       Date:  2018 Jan-Dec
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.