Trajectories of changes in distress in counseling center clients: a replication study

Trajectories of change among highly challenging patients in intensive long-term psychoanalytic psychotherapy

OBJECTIVES

This study aimed to identify and describe trajectories of change in distress among highly challenging patients who had received long and intensive psychoanalytic psychotherapy.

METHODS

The longitudinal version of the K-means algorithm was applied to the outcome measures data of 74 patients treated in four public mental health centers. The patients were measured five times at 6-month intervals for three outcome measures.

RESULTS

For the OQ45 and Symptom Checklist-90, one trajectory was marked by a lower initial distress level. In this trajectory, the improvement occurred in the first half of the measurements, with a plateau thereafter. A second trajectory was characterized by higher initial severity and an improvement, mainly in the second part of the measurements. For the Beck Depression Inventory, one trajectory was marked by lower initial distress. In this group, the improvement occurred throughout the entire period. The remaining patients were characterized by higher initial distress and a decreased level of distress in the last part of treatment. They began to improve only during the third year of therapy.

CONCLUSION

The response to treatment is not uniform in long-term treatment for highly challenging patients. A significant number of patients require a longer period of therapy to ignite improvement.

Repeated assessments of depressive symptoms in randomized psychosocial intervention trials: best practice for analyzing symptom change over time

OBJECTIVE

Psychotherapy randomized trials rarely have tested for the best fitting model for time effects. We examined the fit of different statistical models for examining time when repeated assessments of depressive symptoms are the primary outcome.

METHOD

We used data from three studies comparing psychotherapy treatments for major depressive disorder. Outcome measures were self-report ratings for Study 1 (N = 237) and Study 2 (N = 100) and clinician ratings for Study 3 (N = 120) of depressive symptoms measured at every session (Studies 1 and 2) or monthly (Study 3). We examined the fit of the following time patterns: linear, quadratic, cubic, log transformation of time, piece-wise linear, and unstructured.

RESULTS

In Study 1, a log-linear model had the best fit (Δ Akaike information criterion [AICc] = 7.5). In Study 2, all models had essentially no support (Δ AICcs > 10) in comparison to the best fitting model, which was the unstructured model. In Study 3, the cubic model had the best fit, but it was not significantly better than a log-linear (Δ AICc = 3.5) or unstructured model (Δ AICc = 2.5).

CONCLUSIONS

Trials should routinely compare different time models, including an unstructured model, when repeated measures of depressive symptoms are the primary outcome.