University of Idaho - Research Portal

Objective: An implicit assumption in the use of depressive severity measures to assess change during treatment, such as the Hamilton Rating Scale for Depression (HRSD), is that reductions from pre- to post-treatment that are equal to each other are of equal value. However, stakeholders' valuations of changes might depart substantially from this assumption. Method: Vignettes were constructed that reflected the six possible 1, 2, and 3-point reductions on five cognitive and four somatic symptoms derived from the HRSD. Former or currently depressed patients provided judgments of the importance of the symptom reductions. Mean importance ratings were modeled using symptom category and the pre/post-treatment combination. Differences were explored using the Tukey method. Results: Results indicated that mean ratings, from most to least important, were: Anxiety, Suicide, Depressed Mood, Work, and Guilt (the cognitive symptoms) followed by Somatic, Sleep, Appetite & Weight, and Retardation (the somatic symptoms). Participants valued reductions that resulted in posttreatment scores of zero more than expected, given the magnitude of the reductions. Conclusions: The value of reductions in symptoms captured by the HRSD, as judged by patients, appears to differ as a function of symptom category and the post-treatment score. Similar patterns might characterize other measures of depression severity.

Within mental health, approaches to determine whether a patient experienced "meaningful " change from treatment have predominantly involved imposing thresholds on three types of metrics derived from assessments of symptom severity: end score (posttreatment score), absolute change (pre-minus posttreatment score), and proportion of change. However, none of these approaches have considered input from the consumer. This study examined correspondences between various reductions from pre-to posttreatment symptom severity levels and patients' judgments of satisfaction with change. Former or currently depressed patients were asked to provide judgments of their satisfaction reflected in vignettes that used descriptions from the Hamilton Rating Scale for Depression. Judgments from 108 female participants were fit using four metrics: end score, absolute change, proportion of change, and the combination of end score and absolute change. Akaike information criteria (AICs) and Akaike weights were used to determine the best-fitting model. Cutoffs were calculated for the five levels of satisfaction with change. Proportion of change best accounted for variation in the patients' ratings. For "slightly ... , " "somewhat ... , " "moderately ... , " and "very ... , " the proportions of reduction that corresponded with each of these ratings of satisfaction were, respectively: 17%, 39%, 62%, and 84%. Our a priori level of satisfaction (between "some-what " and "moderately ") corresponded to a 50% reduction in pretreatment severity. This study may provide services some insight into their female patients' satisfaction with change from treatment for depression using only the proportion of reduction from pretreatment severity. A similar procedure could be applied to other diagnostic groups, as well as other constructs that attend to the patient's perspective.

Lithium and quetiapine are known to be effective treatments for bipolar disorder. However, little information is available to inform prediction of response to these medications. Machine-learning methods can identify predictors of response by examining variables simultaneously. Further evaluation of models on a test sample can estimate how well these models would generalize to other samples.
Data (N = 482) were drawn from a randomized clinical trial of outpatients with bipolar I or II disorder who received adjunctive personalized treatment plus either lithium or quetiapine. Elastic net regularization (ENR) was used to generate models for lithium and quetiapine; these models were evaluated on a test set.
Predictions from the lithium model explained 17.4% of the variance in actual observed scores of patients who received lithium in the test set, while predictions from the quetiapine model explained 32.1% of the variance of patients that received quetiapine. Of the baseline variables selected, those with the largest parameter estimates were: severity of mania; attention-deficit/hyperactivity disorder (ADHD) comorbidity; nonsuicidal self-injurious behavior; employment; and comorbidity with each of two anxiety disorders (social phobia/society anxiety and agoraphobia). Predictive accuracy of the ENR model outperformed the simple and basic theoretical models.
ENR is an effective approach for building optimal and generalizable models. Variables identified through this methodology can inform future research on predictors of response to lithium and quetiapine, as well as future modeling efforts of treatment choice in bipolar disorder.

Psychotherapy for depression and antidepressant medications have both been associated with decreases in suicidal ideation. Studies have not examined whether adding psychotherapy to antidepressant medications further reduces suicidal ideation relative to medications alone in adults.
Participants (N = 452) were randomized to 7 months of treatment with antidepressant medications or combined treatment with both medications and cognitive therapy for depression. We examined change in the suicide items from the Beck Depression Inventory (BDI) and Hamilton Depression Rating Scale (HDRS) across treatment using Bayesian generalized linear mixed models for non-continuous outcomes.
Suicidal ideation decreased across treatment. When measured with the BDI, participants receiving both cognitive therapy and antidepressant medications showed 17% greater reductions in suicidal ideation relative to those receiving medications alone; this effect remained significant when controlling for depression severity. While the same pattern was observed when suicidal ideation was measured with the HDRS, the effect was smaller (7%) and not statistically significant. When BDI and HDRS scores were combined, participants receiving both therapy and medications showed 9% greater reductions in suicidal ideation relative to those receiving medications alone; this effect was marginally significant when controlling for depression severity.
This is a secondary analysis of a randomized clinical trial designed to treat depression, in which suicidal ideation was assessed using single-item measures.
Adding cognitive therapy to antidepressant medications may reduce suicidal ideation to a greater extent than medications alone. Pending replication, combination treatment may be preferred for individuals with suicidal ideation.

Two core features of depression include depressed mood (heightened distress) and anhedonia (reduced pleasure). Despite their centrality to depression, studies have not examined their contribution to treatment outcomes in a randomized clinical trial providing mainstream treatments like antidepressant medications (ADM) and cognitive therapy (CT). We used baseline distress and anhedonia derived from a factor analysis of the Mood and Anxiety Symptom Questionnaire to predict remission and recovery in 433 individuals with recurrent/chronic major depressive disorder. Patients were provided with only ADM or both ADM and CT. Overall, higher baseline distress and anhedonia predicted longer times to remission within one year and recovery within three years. When controlling for treatment condition, distress improved prediction of outcomes over and above anhedonia, while anhedonia did not improve prediction of outcomes over and above distress. Interactions with treatment condition demonstrated that individuals with higher distress and anhedonia benefited from receiving CT in addition to ADM, whereas there was no added benefit of CT for individuals with lower distress and anhedonia. Assessing distress and anhedonia prior to treatment may help select patients who will benefit most from CT in addition to ADM. For the treatments and outcome measures tested, utilizing distress to guide treatment planning may yield the greatest benefit.

In this chapter, we review empirical studies that examine the link between social exclusion and a variety of DSM-5 diagnostic categories. The review focuses on longitudinal and experimental studies so as to draw more definitive conclusions about the extent to which exclusion is a vulnerability factor for the development of these disorders. This research reveals that the effects of exclusion are wide-spread and may facilitate the development and maintenance of most adult mental disorders. For certain disorders, such as social anxiety disorder, depression, and borderline personality disorder, symptoms may in turn elicit exclusion, forming an interpersonal cycle that perpetuates the psychopathology. In light of parallels in the patterns observed in the various clinical domains, we propose that social exclusion may be best viewed as a transdiagnostic risk factor. Accordingly, we propose several transdiagnostic factors that may explain both the shared and the specific effects of exclusion in the context of traditional diagnostic labels.

Antidepressant medication (ADM) maintenance treatment is associated with the prevention of depressive recurrence in patients with major depressive disorder (MDD), but whether cognitive behavioral therapy (CBT) treatment is associated with recurrence prevention remains unclear.
To determine the effects of combining CBT with ADM on the prevention of depressive recurrence when ADMs are withdrawn or maintained after recovery in patients with MDD.
A total of 292 adult outpatients with chronic or recurrent MDD who participated in the second phase of a 2-phase trial. Participants had recovered in the first phase of the trial receiving ADM, either alone or in combination with CBT. The trial was conducted in research clinics in 3 university medical centers in the United States. Patients in phase 2 were randomized to receive maintenance of or withdrawal from ADM and were followed up for 3 years. The first and last patients entered phase 2 in August 2003 and October 2009, respectively. The last patient completed phase 2 in August 2012. Data were analyzed from December 2013 to December 2018.
Maintenance of or withdrawal from treatment with ADM.
Recurrence of an MDD episode using longitudinal interval follow-up evaluations; sustained recovery across both phases.
A total of 292 participants (171 women, 121 men; mean [SD] age 45.1 [12.9] years) were included in analyses of depressive recurrence. Maintenance ADM yielded lower rates of recurrence compared with ADM withdrawal regardless of whether patients had achieved recovery in phase 1 with ADM alone (48.5% vs 74.8%; z = -3.16; P = .002; number needed to treat [NNT], 2.8; 95% CI, 1.8-7.0) or ADM plus CBT (48.5% vs 76.7%; z = -3.49; P < .001; NNT, 2.7; 95% CI, 1.9-5.9). Sustained recovery rates differed as a function of phase 2 condition, with maintenance ADM superior to ADM withdrawal (z = 2.90; P = .004; OR, 2.54; 95% CI, 1.37-4.84; NNT, 2.3; 95% CI, 1.5-6.4). Phase 1 condition was not associated with differential rates of sustained recovery (ADM alone vs ADM plus CBT; z = 0.22; P = .83; OR, 1.08; 95% CI, 0.52-2.11; NNT, 26.0; 95% CI, number needed to harm 3.2 to NNT 2.8), nor was there a significant interaction of phase 1 condition and phase 2 condition (z = 0.30; P = .77; OR, 1.14; 95% CI, 0.49-2.88).
Maintenance ADM treatment, but not previous exposure to CBT, was associated with reduced rates of depressive recurrence. In previous studies, when CBT has been provided without ADM, CBT has shown a preventive effect on depressive relapse. Whether CBT also has a preventive effect on depressive recurrence, or if adding ADM interferes with any such preventive effect, remains unclear.
ClinicalTrial.gov identifier: NCT00057577.

Background: Several efficacious psychological and pharmacological treatments for posttraumatic stress disorder (PTSD) are available; however, the comparative effectiveness of these treatments represents a major gap in the literature. The proposed study will compare the effectiveness of two leading PTSD treatments - Prolonged Exposure (PE) therapy and pharmacotherapy with paroxetine or venlafaxine extended release - as well as the combination of PE and medication. Methods: In a randomized clinical trial, veterans with PTSD (N = 450) recruited across six Veterans Affairs Medical Centers will complete assessments at baseline, mid-treatment (Week 7), post-treatment (Week 14), and follow-up (Weeks 27 and 40). The primary outcome will be change in (both clinician-rated and self-reported) PTSD severity. Depression symptoms, quality of life, and functioning will also be measured and examined as secondary outcomes. Baseline demographic and clinical data will be used to develop "personalized advantage indices " (PAIs), with the goal of identifying who is most likely to benefit from which treatment. Conclusions: This planned trial will yield findings to directly inform clinical practice guidelines for PTSD, by providing comparative effectiveness data to support recommendations about what can be considered the "first -line " treatment option(s) for PTSD. Further, findings from this trial have the potential to guide treatment planning for individual patients, through implementation of PAIs developed from study data, in service of "personalized medicine. "