Influence of personality disorders on therapy outcome in somatoform disorders at 2-year follow-up

Predicting the outcome of a cognitive-behavioral group training for patients with unexplained physical symptoms: a one-year follow-up study

Background

Although Cognitive-Behavioral Therapy (CBT) is effective for Unexplained Physical Symptoms (UPS), some therapists in clinical practice seem to believe that CBT outcome will diminish if psychiatric comorbidity is present. The result is that patients with a psychiatric comorbidity are redirected from treatment for UPS into treatment for mental health problems. To explore whether this selection and allocation are appropriate, we explored whether CBT outcomes in UPS could be predicted by variables assessed at baseline and used in routine-practice assessments.

Methods

Patients (n=162) with UPS classified as undifferentiated somatoform disorder or chronic pain disorder were followed up until one year after they had attended a CBT group training. The time-points of the follow-up were at the end of CBT (immediate outcome), three months after CBT (short-term outcome), and one year after CBT (long-term outcome).

CBT outcome was measured using the Physical Component Summary of the SF-36, which was the primary outcome measure in the randomized controlled trial that studied effectiveness of the CBT group training. Predictors were: 1.) psychological symptoms (global severity score of SCL-90), 2.) personality-disorder characteristics (sum of DSM-IV axis II criteria confirmed), 3.) psychiatric history (past presence of DSM-IV axis I disorders), and 4.) health-related quality of life in the mental domain (mental component summary of SF-36). The effect of this predictor set was explored using hierarchical multiple regression analyses into which these predictors had been entered simultaneously, after control for: a.) pretreatment primary outcome scores, b.) age, c.) gender, d.) marital status, and e.) employment.

Results

The predictor set was significant only for short-term CBT outcome, where it explained 15% of the variance. A better outcome was predicted by more psychological symptoms, fewer personality-disorder characteristics, the presence of a psychiatric history, and a better quality of life in the mental domain.

Conclusions

As the predictors do not seem to predict CBT outcome consistently over time, the need for selection and allocation of patients for CBT is doubtful. It seems that this would unnecessarily deprive patients of effective treatment.

Trial registration

Nederlands Trial Register, NTR1609

Describing depression: congruence between patient experiences and clinical assessments

OBJECTIVES

Efforts to describe depression have relied on top-down methods in which theory and clinical experience define depression but may not reflect the individuals' experiences with depression. We assessed the degree of overlap between academic descriptions of depression and patient-reported symptoms as conceptualized in the Patient-Reported Outcomes Measurement Information System(®) (PROMIS(®)). By extension, this work assesses the degree of overlap between current clinical descriptions of depression and patient-reported symptoms.

DESIGN

In this content analysis study, four focus groups were conducted across two sites to elicit symptoms and the experience of depression from depressed and medically ill patients.

METHODS

Depressed and medically ill patients were asked to describe symptoms that characterize depression. Data were transcribed and then coded using an a priori list of 43 facets of depression derived from extant depression measures.

RESULTS

Participants described 93% of the symptoms from the a priori list, supporting the validity of current depression measures. Interpersonal difficulties were underscored as was anger. In general, results from the focus groups did not require the generation of new items for depression and supported the content validity of the PROMIS hierarchical framework and item pool created originally.

CONCLUSIONS

This work supports the validity of current depression assessment, but suggests further investigation of interpersonal functioning and anger may add to the depth and breadth of depression assessment.

Screening for personality disorders

A brief but valid self-report measure to screen for personality disorders (PDs) would be a valuable tool in making decisions about further assessment and in planning optimal treatments. In psychiatric and nonpsychiatric samples, we compared the validity of three screening measures: the PD scales from the Inventory of Interpersonal Problems, a self-report version of the Iowa Personality Disorder Screen, and the selfdirectedness scale of the Temperament and Character Inventory. Despite their different theoretical origins, the screeners were highly correlated in a range from .71 to .77. As a result, the use of multiple screeners was not a significant improvement over any individual screener, and no single screener stood out as clearly superior to the others. Each performed modestly in predicting the presence of any PD diagnosis in both the psychiatric and nonpsychiatric groups. Performance was best when predicting a more severe PD diagnosis in the psychiatric sample. The results also highlight the potential value of multiple assessments when relying on self-reports.