Influence of social class perceptions on attributions among mental health practitioners.

OBJECTIVE: A vignette-based study assessed the influence of social class attributions toward a hypothetical client's difficulty. METHOD: 188 licensed mental health professionals who were recruited through professional listservs completed an online survey after reviewing one of two versions of a vignette describing a hypothetical client that varied based on social class cues. RESULTS: As expected, this sample of licensed mental health practitioners detected social class differences based on the descriptors of the hypothetical client across the two vignettes. These perceived social class differences, however, did not impact participants' attributions toward the client for causing or solving her problems, level of Global Assessment of Functioning score ascribed to the client, or willingness to work with the client. CONCLUSIONS: There was no evidence that participants differentially ascribed attributions based on social class. Implications and directions for future research are provided.

Benchmarking the effectiveness of psychotherapy treatment for adult depression in a managed care environment: a preliminary study.

This preliminary study evaluated the effectiveness of psychotherapy treatment for adult clinical depression provided in a natural setting by benchmarking the clinical outcomes in a managed care environment against effect size estimates observed in published clinical trials. Overall results suggest that effect size estimates of effectiveness in a managed care context were comparable to effect size estimates of efficacy observed in clinical trials. Relative to the 1-tailed 95th-percentile critical effect size estimates, effectiveness of treatment provided in this setting was observed to be between 80% (patients with comorbidity and without antidepressants) and 112% (patients without comorbidity concurrently on antidepressants) as compared to the benchmarks. Because the nature of the treatments delivered in the managed care environment were unknown, it was not possible to make conclusions about treatments. However, while replications are warranted, concerns that psychotherapy delivered in a naturalistic setting is inferior to treatments delivered in clinical trials appear unjustified.

Identifying highly effective psychotherapists in a managed care environment.

OBJECTIVE: To investigate the variability and stability of psychotherapists' effectiveness and the implications of this differential effectiveness for quality improvement in a managed care environment. STUDY DESIGN: Subset archival outcome data for patients receiving behavioral health treatment were divided into 2 time periods to cross-validate the treating therapists' effectiveness. After categorizing the therapists as "highly effective" and "others" during the baseline period, the stability of their individual effectiveness was cross-validated in the remaining time period. METHODS: Outcomes for 10 812 patients (76.0% adults, 24.0% children and adolescents) treated by 281 therapists were included. Patients initiated treatment between January 1999 and June 2004. Mean residual change scores obtained by multiple regression were used to adjust for differences in case mix among therapists. Raw change scores as well as mean residualized change scores were compared between the 71 psychotherapists identified as highly effective (25%) and those identified as other (remaining 75%). RESULTS: During the cross-validation period, mean differences in residualized change score between highly effective therapists and others were statistically significant (difference = 2.8; P < .001), which corresponded to an average of 53.3% more change in raw change scores with the highly effective therapists. Results could not be explained by case mix differences in diagnosis, age, sex, intake scores, prior outpatient treatment history, length of treatment, or therapist training/experience. CONCLUSION: Behavioral health outcomes for a large system of care could be significantly improved by measuring clinical outcomes and referring patients to therapists with superior outcomes.