The relationship of primary and secondary psychopathic dispositions as measured by the Levenson Self-Report Psychopathy (LSRP) Scales to NEO-PI-R domain and facet scales of the Five Factor Model (FFM) was examined in a sample (N=463) of young adults. Previous investigations were extended by (1) addressing the relationship of higher-(i.e., domain) and lower-order (i.e., facet) FFM traits to primary and secondary psychopathy in noninstitutionalized persons, in an attempt to validate hypotheses by T. A. Widiger and D. R. Lynam(1998); (2) examining sex differences in FFM traits in relation to these two psychopathic dispositions; and (3) lending further evidence for the validity of the LSRP. LSRP primary psychopathy was marked by low Agreeableness whereas LSRP secondary psychopathy was characterized by high Neuroticism, low Agreeableness, and low Conscientiousness. Although few sex differences were found between primary and secondary psychopathy, findings support the use of NEO-PI-R domain and facet scales in the identification of personality disorder.

Attending psychiatrists completed an anchored version of the 18-item Brief Psychiatric Rating Scale (BPRS-A) based on admission and evaluation information on a total of 2,921 adult patients treated at 1 public sector acute psychiatric teaching hospital. Exploratory factor analysis was applied to a 6-month sample to construct 4 nonoverlapping subscales: Resistance, Positive Symptoms, Negative Symptoms, and Psychological Discomfort. Confirmatory factor analysis compared these new subscales to 3 other published subscale models using a second 6-month sample. Internal consistency, rater influence, and interrater agreement were estimated in separate studies. Discriminant validity was explored by comparison of diagnosis-based samples. Application of the BPRS-A as a debriefing instrument in the study of symptomatic change and the multiple challenges inherent in psychometric study of such a rating scale in realistic hospital practice are discussed.

Objective: This study examined whether information obtained early in the hospitalization process can be used to assess a patients need for extended care. Methods: A sample of 2,430 inpatients who were admitted to a state psychiatric facility during a one-year index period (January through December 1997) were randomly assigned to a primary sample or a replication sample. Data were collected on demographic characteristics and history of previous hospitalization. The Brief Psychiatric Rating Scale-Anchored Version (BPRS-A) was administered to patients within 48 hours of admission, and four new subscales derived from ratings of newly admitted patients were calculated. Univariate and multivariate analyses were conducted to identify factors associated with whether a patient was discharged to the community or transported to another hospital for extended care. Results: A discriminant analysis of the data correctly identified 70 percent of the patients who were referred for continued hospitalization and 80 percent of the patients who were discharged to the community. The main correlates of the need for extended inpatient services were, in descending order, scores on the BPRS-A resistance subscale, the number of previous referrals for extended hospitalizations, and scores on the BPRS-A positive symptoms and psychological discomfort scales. Conclusions: BPRS-A subscale scores should be considered to be at least as good as more traditional measures in predicting length of hospitalization.

Use of Brief Psychiatric Rating Scale [Overall J.E., Gorham D.R., 1988. The Brief Psychiatric Rating Scale (BPRS): recent developments in ascertainment and scaling. Psychopharmacology Bulletin 24, 97–99] percent change scores (PCSs) to measure treatment effects may be problematic because two different item-weighting systems (0–6 and 1–7) have been employed to represent the seven rating options and PCSs have demonstrated sensitivity to the item-weighting system used. This study compared the ability of a range of BPRS total scale PCS categories generated by both item-weighting procedures to predict estimates of clinical improvement in a large (N=1415) heterogeneous acute sample of adult psychiatric inpatients. Results revealed significant differences between the two scaling systems in the proportion of patients classified into categories of PCS symptom improvement. Additional analysis suggested different optimal predictive PCS classifications for each item-weighting system: >19% for 1–7 and >39% for 0–6. Guidelines for BPRS publications are presented to facilitate study interpretation and replication. In light of their demonstrated limitations, it is suggested that the use of BPRS PCSs to measure treatment effects be reconsidered.