JustKiddo/KiddosVault huggingface dataset:
Behavioral activation versus physical activity via the internet: A randomized controlled trial.

A major problem today is that only about fifty percent of those affected by depression seeks help. One way to reach more sufferers would be by offering easily accessible internet based treatments. The purpose of this study was to compare/evaluate four therapist supported internet administered treatments. Two hundred eighty six participants were included. The treatment period lasted twelve weeks, consisting of the following treatments: 1) physical activity without treatment rational, 2) physical activity with treatment rational, 3) behavioral activation without treatment rational and 4) behavioral activation with treatment rational. All groups (including a control-group) showed a significant decrease in depressive symptoms. When the treatment groups were pooled and compared to the control group, there were significant differences from pretest to posttest (Hedges gav treatment =1.01, control group =0.47). This held true also when each of the four treatment groups was compared to the control group, with one exception: Physical activity without treatment rationale. The differences between how many modules the participants completed could indicate that there are other factors than the treatments that caused the symptom reduction, however, the dose-response analysis did not detect any significant differences on account of modules completed. The results support the positive effects of internet administered treatments for depression, and highlights the importance of psychoeducation, which tends to affect both the treatment outcome and the probability of remaining in treatment. These aspects need to be considered when developing and conducting new treatments for depression, since they would increase the likelihood of positive treatment outcomes.
Perceptions of Cognitive-Behavioral Therapy and Antidepressant Medication for Depression After Brief Psychoeducation: Examining Shifts in Attitudes.

The majority of people with depression in the United States either never seek treatment or gravitate exclusively to antidepressant medication (ADM), despite the existence of other effective treatments, such as cognitive-behavioral therapy (CBT). Reluctance to use psychotherapy is partly due to lack of appropriate mental health literacy and perceptions of low treatment acceptability (appropriateness for a given problem) and credibility (treatment logicalness, and whether the patient expects improvement). In the current investigation, we examined whether providing psychoeducation about CBT for depression would change participant perceptions of the treatment's acceptability and credibility. We recruited 554 (female n = 314; 57%) participants across two online studies, and assessed their baseline perceptions of CBT and ADM using modified Treatment Acceptability (TAAS) and Treatment Credibility and Expectancy (CEQ) scales. Participants were subsequently presented with evidence-based, expert-vetted psychoeducational materials describing CBT and ADM, and were asked to recomplete the TAAS and CEQ. In Study 1, participants endorsed significantly higher CBT-CEQ (credibility/expectancy) scores postpsychoeducation. In Study 2, participants endorsed significantly lower CBT-TAAS (acceptability), and among those with no exposure to depression treatments, endorsed significantly higher CBT-CEQ scores postpsychoeducation. In both studies, there were no perceptual changes of ADM after the psychoeducation. Finally, in Study 2, endorsement of a biological model of depression and depressive symptoms were negatively predictive of CBT's acceptability and credibility and expectancy postpsychoeducation. Perceptions of credibility and expectancy of CBT for depression appear malleable even after exposure to brief psychoeducation, whereas shifting perceptions of CBT's acceptability may require more extensive intervention.
Cognitive-Behavioral Therapy for Depression Using Mind Over Mood: CBT Skill Use and Differential Symptom Alleviation.

Cognitive-behavioral therapy (CBT) for depression is highly effective. An essential element of this therapy involves acquiring and utilizing CBT skills; however, it is unclear whether the type of CBT skill used is associated with differential symptom alleviation. Outpatients (N = 356) diagnosed with a primary mood disorder received 14 two-hour group sessions of CBT for depression, using the Mind Over Mood protocol. In each session, patients completed the Beck Depression Inventory and throughout the week they reported on their use of CBT skills: behavioral activation (BA), cognitive restructuring (CR), and core belief (CB) strategies. Bivariate latent difference score (LDS) longitudinal analyses were used to examine patterns of differential skill use and subsequent symptom change, and multigroup LDS analyses were used to determine whether longitudinal associations differed as a function of initial depression severity. Higher levels of BA use were associated with a greater subsequent decrease in depressive symptoms for patients with mild to moderate initial depression symptoms relative to those with severe symptoms. Higher levels of CR use were associated with a greater subsequent decrease in depressive symptoms, whereas higher levels of CB use were followed by a subsequent increase in depressive symptoms, regardless of initial severity. Results indicated that the type of CBT skill used is associated with differential patterns of subsequent symptom change. BA use was associated with differential subsequent change as a function of initial severity (patients with less severe depression symptoms demonstrated greater symptom improvement), whereas CR use was associated with symptom alleviation and CB use with an increase in subsequent symptoms as related to initial severity.
Cross-trial prediction in psychotherapy: External validation of the Personalized Advantage Index using machine learning in two Dutch randomized trials comparing CBT versus IPT for depression.

Objective: Optimizing treatment selection may improve treatment outcomes in depression. A promising approach is the Personalized Advantage Index (PAI), which predicts the optimal treatment for a given individual. To determine the generalizability of the PAI, models needs to be externally validated, which has rarely been done. Method: PAI models were developed within each of two independent trials, with substantial between-study differences, that both compared CBT and IPT for depression (STEPd: n=151 and FreqMech: n=200). Subsequently, both PAI models were tested in the other dataset. Results: In the STEPd study, post-treatment depression was significantly different between individuals assigned to their PAI-indicated treatment versus those assigned to their non-indicated treatment (d=.57). In the FreqMech study, post-treatment depression was not significantly different between patients receiving their indicated treatment versus those receiving their non-indicated treatment (d=.20). Cross-trial predictions indicated that post-treatment depression was not significantly different between those receiving their indicated treatment and those receiving their non-indicated treatment (d=.16 and d=.27). Sensitivity analyses indicated that cross-trial prediction based on only overlapping variables didn't improve the results. Conclusion: External validation of the PAI has modest results and emphasizes between-study differences and many other challenges.
Two-year outcome of internet-based relapse prevention for partially remitted depression.

The objective of the study was to investigate the long-term effects of internet-based relapse prevention for sufferers of partially remitted depression. Eighty-four individuals with partially remitted unipolar depression were randomized to either internet-based CBT (iCBT) or to a control group. After the ten week intervention period the participants were followed for 24 months and diagnostic interviews conducted to detect relapse. The intervention and monthly self-ratings of depressive symptoms were administered via an internet-based platform that ensured secure communication with all participants. Significantly fewer participants in the iCBT group had experienced a relapse compared with those in the control group two years after the internet-based intervention. The relapse rate in the iCBT group was 13.7% (CI 95%=2.5-24.9) and in the control group it was 60.9% (CI 95%=44.8-77). Furthermore, a significantly larger proportion of the iCBT group experienced remission two years after the intervention compared with the control group. Internet-based CBT seems promising for preventing relapse in sufferers of partially remitted depression.
Disrupting the rhythm of depression using Mobile Cognitive Therapy for recurrent depression: randomized controlled trial design and protocol.

Major depressive disorder (MDD) is projected to rank second on a list of 15 major diseases in terms of burden in 2030. The major contribution of MDD to disability and health care costs is largely due to its highly recurrent nature. Accordingly, efforts to reduce the disabling effects of this chronic condition should shift to preventing recurrence, especially in patients at high risk of recurrence. Given its high prevalence and the fact that interventions are necessary during the remitted phase, new approaches are needed to prevent relapse in depression. The best established effective and available psychological intervention is cognitive therapy. However, it is costly and not available for most patients. Therefore, we will compare the effectiveness and cost-effectiveness of self-management supported by online CT accompanied by SMS based tele-monitoring of depressive symptomatology, i.e. Mobile Cognitive Therapy (M-CT) versus treatment as us usual (TAU). Remitted patients (n = 268) with at least two previous depressive episodes will be recruited and randomized over (1) M-CT in addition to TAU versus (2) TAU alone, with follow-ups at 3, 12, and 24 months. Randomization will be stratified for number of previous episodes and type of treatment as usual. Primary outcome is time until relapse/recurrence over 24 months using DSM-IV-TR criteria as assessed by the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID). For the economic evaluation the balance between costs and health outcomes will be compared across strategies using a societal perspective. Internet-based interventions might be helpful in empowering patients to become their own disease managers in this lifelong recurrent disorder. This is, as far as we are aware of, the first study that examines the (cost) effectiveness of an E-mental health program using SMS monitoring of symptoms with therapist support to prevent relapse in remitted recurrently depressed patients. Netherlands Trial Register (NTR): NTR2503.
Comparing Cognitive, Metacognitive, and Acceptance and Commitment Therapy Models of Depression: a Longitudinal Study Survey.

This study analyzed the interrelationships between key constructs of cognitive therapy (CT; depressogenic schemas), metacognitive therapy (MCT; dysfunctional metacognitive beliefs), and acceptance and commitment therapy (ACT; psychological inflexibility) in the prediction of depressive symptoms. With a lapse of nine months, 106 nonclinical participants responded twice to an anonymous online survey containing the following questionnaires: the Depression subscale of the Depression Anxiety and Stress Scales (DASS), the Dysfunctional Attitude Scale Revised (DAS-R), the Positive beliefs, Negative beliefs and Need to control subscales of the Metacognitions Questionnaire-30 (MCQ-30), and the Acceptance and Action Questionnaire - II (AAQ-II). Results showed that when controlling for baseline levels of depressive symptoms and demographic variables, psychological inflexibility longitudinally mediated the effect of depressogenic schemas (path ab = .023, SE = .010; 95% BC CI [.008, .048]) and dysfunctional metacognitive beliefs on depressive symptoms (positive metacognitive beliefs: path ab = .052, SE = .031; 95% BC CI [.005, .134]; negative metacognitive beliefs: path ab = .087, SE = .049; 95% BC CI [.016, .214]; need to control: path ab = .087, SE = .051; 95% BC CI [.013, .220]). Results are discussed emphasizing the role of psychological inflexibility in the CT and MCT models of depression.
Factors contributing to symptom change in standardized and individualized Internet-based interventions for depression: A randomized-controlled trial.

Research suggests 4 categories of outcome predictors in face-to-face therapy (i.e., treatment expectations, extratherapeutic factors, relationship factors, and factors specific to a treatment approach/technique). However, it is unclear whether these factors are relevant in standardized and individualized Internet-based interventions. To investigate this question, a secondary analysis of data from 1,089 mildly to moderately depressed adults undergoing 6 weeks of cognitive-behavioral Internet-based intervention for depression randomized to receive either weekly written feedback individualized by a counselor or automated and fully standardized feedback was performed. The following variables corresponding to the 4 categories were tested regarding associations with depressive symptom change during multiple treatment periods within a multigroup structural equation model: (a) outcome expectations, (b) extratherapeutic stressors and stress change during treatment, (c) midtreatment working alliance (task/goal and bond), and (d) uptake of treatment-specific components (logins and specific tool use). Results suggest similar regressive associations across treatment conditions: Previous symptom change was the most important predictor for subsequent symptom developments. Stress at baseline and the uptake of specific treatment components only played a minor role, and stronger task/goal ratings were associated with later symptom improvements. Early symptom improvements predicted stronger midtreatment task/goal and bond ratings, whereas only stronger task/goal ratings were associated with later symptom improvements. Outcome expectations were only indirectly related with symptom change mediated through goal/task ratings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Efficacy of intensive short-term dynamic psychotherapy in mood disorders: A critical review.

Intensive Short-Term Dynamic Psychotherapy (ISTDP) is an intervention introduced by Davanloo in order to treat anxiety, mood and somatic symptom, and personality disorders. It is a brief intervention aiming to identify and process painful or forbidden emotions and consequently to override symptoms and self-destructive tendencies. In this review we examine the efficacy of ISTDP on symptoms in patients with Major Depressive Disorder (MDD) and Bipolar Disorder (BD). A thorough search of articles in Pubmed, PsycINFO, Isi Web of Knowledge was carried out in order to obtain available studies of ISTDP for BD and MDD. We included all studies conducted on patients with a diagnosis of MDD or BD and who received ISTDP. Eight studies were included. These were two randomized controlled trials and six observational studies. Overall the results of the included manuscripts suggest a positive effect of ISTDP on depressive symptoms for patients affected by mood disorders. Furthermore, they suggest ISTDP may be cost-effective through reducing doctor visits and hospitalizations in follow-up. Most studies had small samples and consisted of non-randomized trials. These are preliminary positive results on the effectiveness of this approach for the treatment of depressive symptoms. They have to be confirmed by studies with larger sample sizes and by comparing this technique with other psychological treatments such as cognitive-behavioral therapy.
Behavioral and cognitive intervention strategies delivered via coached apps for depression: Pilot trial.

Depression is common in primary care settings, but barriers prevent many primary care patients from initiating treatment. Smartphone apps stand as a possible means to overcome such barriers. However, there is limited evidence to understand the use and efficacy of these apps. The purpose of the current study was to pilot an evaluation of the usage and efficacy of apps for depression based upon behavioral or cognitive intervention skills, compared to a wait-list control. Thirty adults with depression were randomized to the use of either a behavioral app (Boost Me) or a cognitive app (Thought Challenger) or to a wait-list control. Boost Me and Thought Challenger participants received 6 weeks of the respective intervention along with weekly coaching sessions, with a 4-week follow-up period; wait-list control participants received no interventions for 10 weeks. A repeated-measures analysis of variance was conducted to examine depression over time and across treatment groups; t tests compared app usage across groups. Depression scores changed significantly over time (p < .001), with group differences occurring between Thought Challenger and wait-list control participants (p = .03). Boost Me was used significantly more than was Thought Challenger (p = .02); however, there was no evidence to suggest correlations between usage and changes in depression (ps > .05). The present study provides initial support that intervention strategies for depression delivered via apps with human support can impact symptoms and may promote continued use over 6 weeks. This pilot also demonstrates the feasibility of future research regarding the delivery of behavioral and cognitive intervention strategies via apps. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Selecting the optimal treatment for a depressed individual: Clinical judgment or statistical prediction?

Optimizing treatment selection is a way to enhance treatment success in major depressive disorder (MDD). In clinical practice, treatment selection heavily depends on clinical judgment. However, research has consistently shown that statistical prediction is as accurate - or more accurate - than predictions based on clinical judgment. In the context of new technological developments, the current aim was to compare the accuracy of clinical judgment versus statistical predictions in selecting cognitive therapy (CT) or interpersonal psychotherapy (IPT) for MDD. Data came from a randomized trial comparing CT (n=76) with IPT (n=75) for MDD. Prior to randomization, therapists' recommendations were formulated during multidisciplinary staff meetings. Statistical predictions were based on Personalized Advantage Index models. Primary outcomes were post-treatment and 17-month follow-up depression severity. Secondary outcome was treatment dropout. Individuals receiving treatment according to their statistical prediction were less depressed at post-treatment and follow-up compared to those receiving their predicted non-indicated treatment. This difference was not found for recommended versus non-recommended treatments based on clinical judgment. Moreover, for individuals with an IPT recommendation by therapists, higher post-treatment and follow-up depression severity was found for those that actually received IPT compared to those that received CT. Recommendations based on statistical prediction and clinical judgment were not associated with differences in treatment dropout. Information on the clinical reasoning behind therapist recommendations was not collected, and statistical predictions were not externally validated. Statistical prediction outperforms clinical judgment in treatment selection for MDD and has the potential to personalize treatment strategies.
Cognitive behaviour therapy via the internet for depression: a useful strategy to reduce suicidal ideation.

Depression is a major risk factor for suicide. Given the strong association between depression and suicide, treatment for depression should be a fundamental component of suicide prevention. Currently it is not. This study aims to demonstrate the usefulness of internet-delivered cognitive behavioural therapy (iCBT) for depression as a means of reducing suicide ideation. The sample comprised 484 patients who were prescribed iCBT for depression by their primary care physician. The outcomes of interest were major depression, as indexed by the PHQ-8, and suicidal ideation as measured by question 9 of the PHQ-9. Marginal models were used to appropriately analyse available data without biasing parameter estimates. Following iCBT for depression, suicidal ideation and depression decreased in parallel over time. The prevalence of suicidal ideation reduced from 50% at baseline to 27% after treatment, whilst the prevalence of major depression reduced from 70% to 30%. Depression scores and suicidal ideation decreased after treatment regardless of demographic or clinical variables of interest. This is a naturalistic study; randomisation and scientific control were not possible. The current study demonstrates the usefulness of iCBT for depression as a means of reducing suicidal ideation which can be implemented on a large scale without enacting major structural change at the societal level. These findings need to be replicated in randomised controlled trials.
Life Adaptation Skills Training (LAST) for persons with depression: A randomized controlled study.

To investigate the efficacy of the "Life Adaptation Skills Training (LAST)" program for persons with depression. Sixty-eight subjects with depressive disorder were recruited from psychiatric outpatient clinics in Taipei city and were randomly assigned to either an intervention group (N=33), or a control group (N=35). The intervention group received 24-sessions of the LAST program, as well as phone contact mainly related to support for a total of 24 times. The control group only received phone contact 24 times. The primary outcome measure utilized was the World Health Organization Quality of Life-BREF-Taiwan version. Secondary outcome measures included the Occupational self-assessment, the Mastery scale, the Social support questionnaire, the Beck anxiety inventory, the Beck depression inventory-II, and the Beck scale for suicide ideation. The mixed-effects linear model was applied to analyze the incremental efficacy of the LAST program, and the partial eta squared (ηp(2)) was used to examine the within- and between- group effect size. The subjects who participated in the LAST program showed significant incremental improvements with moderate to large between-group effect sizes on their level of anxiety (-5.45±2.34, p<0.05; ηp(2)=0.083) and level of suicidal ideation (-3.09±1.11, p<0.01; ηp(2)=0.157) when compared to the control group. The reduction of suicidal ideations had a maintenance effect for three months after the end of intervention (-3.44±1.09, p<0.01), with moderate between-group effect sizes (ηp(2)=0.101). Both groups showed significant improvement on overall QOL, overall health, physical QOL, psychological QOL, level of anxiety, and level of depression. The within-group effect sizes achieved large effects in the intervention group (ηp(2)=0.328-0.544), and were larger than that of the control group. A small sample size in the study, a high dropout rate, lower compliance rates for the intervention group, and lacking of true control group. The occupation-based LAST program, which focuses on lifestyle rearrangement and coping skills enhancement, could significantly improve the level of anxiety and suicidal ideations for persons with depression.