Development and Psychometric Properties of the Standardized Assessment of Severity of Personality Disorder (SASPD)

Kike Olajide, Jasna Munjiza, Paul Moran, Lesley O'Connoll, Giles Newton-Howes, Paul Bassett, Akintomide Gbolagade, Nicola Ng, Peter Tyrer, Roger Mulder, Mike J. Crawford

Research output: Contribution to journalArticle (Academic Journal)peer-review

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Abstract

Aims
Personality disorder is increasingly categorised according to its severity, but there is no simple way to screen for severity according to ICD-11 criteria.We set out to develop the Standardized Assessment of Severity of Personality Disorder (SASPD).

Methods
110 patients completed the SASPD together with a clinical assessment of the severity of personality disorder. We examined the predictive ability of the SASPD using the area under the ROC curve (AUC). Two to four weeks later 43 patients repeated the SASPD to examine reliability.

Results
The SASPD had good predictive ability for determining mild (AUC =0.86) and moderate (AUC=0.84) PD at cut points of 8 and 10 respectively. Test retest reliability of the SASPD was high (intraclass correlation coefficient = 0.93, 95% CI = 0.88 to 0.96).

Conclusion
The SASPD provides a simple, brief and reliable indicator of the presence of mild or moderate PD according to ICD-11 criteria.

Declaration of interest: Peter Tyrer chairs the ICD-11 advisory group for the World Health Organization. Roger Mulder and Mike Crawford are also members of the group.
Original languageEnglish
Pages (from-to)44-56
Number of pages13
JournalJournal of Personality Disorders
Volume32
Issue number1
Early online date17 May 2017
DOIs
Publication statusPublished - Jan 2018

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