JustKiddo/KiddosVault huggingface dataset:
Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review.

No previous study has comprehensively reviewed the application of machine learning algorithms in mood disorders populations. Herein, we qualitatively and quantitatively evaluate previous studies of machine learning-devised models that predict therapeutic outcomes in mood disorders populations. We searched Ovid MEDLINE/PubMed from inception to February 8, 2018 for relevant studies that included adults with bipolar or unipolar depression; assessed therapeutic outcomes with a pharmacological, neuromodulatory, or manual-based psychotherapeutic intervention for depression; applied a machine learning algorithm; and reported predictors of therapeutic response. A random-effects meta-analysis of proportions and meta-regression analyses were conducted. We identified 639 records: 75 full-text publications were assessed for eligibility; 26 studies (n=17,499) and 20 studies (n=6325) were included in qualitative and quantitative review, respectively. Classification algorithms were able to predict therapeutic outcomes with an overall accuracy of 0.82 (95% confidence interval [CI] of [0.77, 0.87]). Pooled estimates of classification accuracy were significantly greater (p < 0.01) in models informed by multiple data types (e.g., composite of phenomenological patient features and neuroimaging or peripheral gene expression data; pooled proportion [95% CI] = 0.93[0.86, 0.97]) when compared to models with lower-dimension data types (pooledproportion=0.68[0.62,0.74]to0.85[0.81,0.88]). Most studies were retrospective; differences in machine learning algorithms and their implementation (e.g., cross-validation, hyperparameter tuning); cannot infer importance of individual variables fed into learning algorithm. Machine learning algorithms provide a powerful conceptual and analytic framework capable of integrating multiple data types and sources. An integrative approach may more effectively model neurobiological components as functional modules of pathophysiology embedded within the complex, social dynamics that influence the phenomenology of mental disorders.
Improving the Course of Depressive Symptoms After Inpatient Psychotherapy Using Adjunct Web-Based Self-Help: Follow-Up Results of a Randomized Controlled Trial.

We recently showed in a randomized controlled trial that Web-based self-help as an adjunct improved the effectiveness of multimodal inpatient psychotherapy for depression. The aims of this study were (1) to determine whether a Web-based self-help adjunctive to multimodal inpatient psychotherapeutic treatment could also improve the course of depressive symptoms and (2) to identify predictors of residual depressive symptoms at follow-up. Overall, 229 patients were randomized either to the Web-based self-help intervention group (Deprexis) or an active control group (Web-based information about depression and depressive symptoms) in addition to multimodal inpatient psychotherapy. Participants in both groups were able to access their respective Web-based programs for 12 weeks, which meant that they typically had access after discharge from the inpatient unit (mean hospitalization duration: 40 days, T1). Follow-up was performed 6 months after study intake (T3). At follow-up, participants of the Web-based self-help group had considerably lower symptom load regarding depressive symptoms (d=0.58) and anxiety (d=0.46) as well as a better quality of life (d=0.43) and self-esteem (d=0.31) than participants of the control group. Nearly 3 times as many participants of the intervention group compared with the control group achieved remission in accordance with less deterioration. The number needed to treat based on the Beck Depression Inventory-II (BDI-II) improved over time (T1: 7.84, T2: 7.09, and T3: 5.12). Significant outcome predictors were BDI at discharge and treatment group. Web-based self-help as an add-on to multimodal inpatient psychotherapy improved the short-term course of depressive symptoms beyond termination. Residual symptoms at discharge from inpatient treatment and utilization of the Web-based self-help were the major predictors of depressive symptoms at follow-up. Challenges and barriers (eg, costs, therapists' concerns, or technical barriers) of adding Web-based interventions to inpatient treatment have to be addressed. ClinicalTrials.gov NCT02196896; https://clinicaltrials.gov/ct2/show/NCT02196896.
Protocol for a randomized controlled dismantling study of a brief telephonic psychological intervention applied to non-professional caregivers with symptoms of depression.

Although depression is a common problem in caregivers and there are effective cognitive-behavioral interventions for its prevention, the ability of caregivers to attend these treatments is often limited by logistics. Furthermore, the efficacy of the components of these interventions is unknown. The objectives of this study are to (a) evaluate the efficacy of a telephone-administered cognitive-behavioral intervention to prevent depression with all its components (cognitive and behavioral) and only with behavioral activation, and to (b) analyze the mediators of the change in depressive symptoms. A randomized controlled clinical trial was designed to dismantle the components of a cognitive-behavioral intervention. Caregivers with elevated depressive symptoms will be randomly assigned to a cognitive-behavioral intervention, an intervention with only the behavioral activation component, or a usual care control group. Each condition will consist of approximately 60 participants. The two interventions will consist of five sessions lasting 90 min each, applied to groups of about 5 participants at a time via conference call. Trained interviewers, blind to the experimental conditions, will conduct the assessments at the pre-treatment, post-treatment and 1-, 3-, 6- and 12-month follow-ups. This study will provide evidence of the efficacy of a cognitive-behavioral intervention to prevent depression in caregivers with elevated depressive symptoms administered via conference call, and on the impact of the behavioral activation component on the overall efficacy of the program. If we find favorable results, it would mean that we have developed a program of prevention of depression of higher clinical utility and efficacy than those currently available, which would make it possible for a large number of caregivers to have access to such resources. ClinicalTrials.gov: NCT02292394. Registered 6 November 2014.
Comparing outcomes in chronic depression following inpatient psychotherapy for patients continuing versus discontinuing antidepressant medication.

Research indicates that combination of psychotherapy and antidepressant medication (ADM) provides cumulative effects and thus outperforms monotherapy in treating chronic depression. In this quasi-experimental study, we explored symptom change for patients with chronic depression treated with ADM when presenting for a 12-week psychotherapeutic inpatient treatment programme. We compared outcomes through treatment and follow-up of patients who continued medication with those who discontinued. We also tested possible moderator effects of initial depression severity on change between the groups. Based on prior research, we hypothesized that combination treatment would yield better results (i.e., more reduction in depression). Patients (N = 112) were referred from general practitioners or local secondary health care. Outcome was measured by Beck Depression Inventory-II (BDI-II), and comparisons were carried out using multilevel modelling. Although 35 patients discontinued ADM during treatment, 77 continued. Both continuers and discontinuers had a significant treatment effect that was maintained at 1-year follow-up. There was no difference in outcome between continuers and discontinuers of ADM. Patients with severe depression had significantly more symptom improvement than patients with moderate depression, but depression severity did not affect outcomes across continuers and discontinuers of ADM differently. The results could indicate that patients had developed resistance and/or tolerance to the prophylactic effects of medication and that ADM did not contribute to the reduction of depressive symptoms. The findings may also indicate that psychotherapy alone in some instances can be a viable alternative to continued combined treatment. Clinicians should carefully assess benefits of patients' ongoing use of antidepressant medication when entering psychotherapy.
Teletherapy Versus In-Person Psychotherapy for Depression: A Meta-Analysis of Randomized Controlled Trials.

Introduction: The recent surge in telehealth service delivery represents a promising development in the field's ability to address access gaps in health care across underserved populations. Telehealth also carries the potential to help reduce the societal burden of mental illnesses such as major depression, which often go untreated. There is now a sufficiently large corpus of randomized controlled trials to examine the comparative effectiveness of teletherapy and in-person services meta-analytically. Methods: We searched the PubMed, PsycINFO, and Cochrane Central Register of Controlled Trials (CENTRAL) databases for articles from January 1, 2000 to February 1, 2021 to identify randomized head-to-head trials of video-based versus in-person delivery of psychotherapy to reduce depressive symptoms. We conducted a random-effects meta-analysis to evaluate potential differences in efficacy rates. We calculated and meta-analyzed odds ratios to examine differential attrition rates between video and in-person conditions. Finally, we conducted subgroup analyses based on the primary treatment focus (depression or another condition) of each trial. Results: Primary study analyses yielded evidence that video-based psychotherapy is roughly comparable in efficacy with in-person psychotherapy for reducing depressive symptoms (g=0.04, 95% confidence interval [CI=-0.12 to 0.20], p=0.60, I2=5%). Likewise, attrition rates between the two conditions were not significantly different (odds ratio=1.07, 95% CI=[0.78 to 1.49], p=0.63, I2=25%). Finally, we did not observe significant subgroup differences in either efficacy (p=0.38) or attrition (p=0.94). Conclusions: The present findings suggest that video-based teletherapy may be a feasible and effective alternative to in-person services for reducing depressive symptoms. Continued research on the effectiveness of telehealth in clinically depressed samples, and further elucidation of the access barriers entailed by each delivery modality, can help the field better determine which patients will derive the greatest benefit from each mode of intervention.
Effectiveness of a web-based behavioural activation intervention for individuals with depression based on the Health Action Process Approach: protocol for a randomised controlled trial with a 6-month follow-up.

Behavioural activation is a highly effective treatment for depression. However, there is considerable heterogeneity of interventions grouped under the term 'behavioural activation'. A main reason for the heterogeneity is the lack of a unified theory in the intervention development: few of the established intervention manuals give a theoretical rationale for their intervention techniques. For the first time, this study will examine the effectiveness of a theory-based behavioural activation intervention (InterAKTIV) based on the Health Action Process Approach. The intervention is implemented online to ensure broad dissemination and standardisation. In a two-arm randomised controlled trial, the effectiveness of a guided web-based behavioural activation intervention for people with depression will be evaluated. Participants are recruited via the print and online media of a large German healthcare insurance company. Individuals (age 18-65), who meet criteria for major depressive episode in a clinical interview and no exclusion criteria are eligible for inclusion. A target sample of 128 participants is randomly allocated to either the intervention group (immediate access to InterAKTIV) or treatment as usual (access after follow-up assessment). The primary outcome of depressive symptom severity (Quick Inventory of Depressive Symptomatology Clinician Rating) and secondary outcomes, including behavioural activation, physical activity and motivational and volitional outcomes are assessed at baseline, post treatment and 6-month follow-up. Data will be analysed on an intention-to-treat basis with additional per-protocol analyses. This trial is approved by the ethics committee of the Albert-Ludwigs-University of Freiburg (no.: 20-1045). All participants are required to submit their informed consent online before study inclusion. The results will be submitted for publication in a peer-reviewed journal and presented at conferences. This trial was registered in the German Clinical Trials Register (DRKS): DRKS00024349 (date of registration: 29 January 2021).
The Efficacy of Internal Family Systems Therapy in the Treatment of Depression Among Female College Students: A Pilot Study.

College women are vulnerable to depression due to developmental and transitional life changes. Early diagnosis and effective treatment is critically important. Empirical support exists for the effectiveness of select treatment options (i.e., antidepressant medication, cognitive-behavioral therapy [CBT], and interpersonal psychotherapy [IPT]), yet a significant percentage of those treated do not benefit. In this pilot study, Internal Family Systems (IFS) therapy was tested as an alternative approach. College women (N = 37) were randomly allocated to IFS treatment or treatment as usual (CBT or IPT). Results demonstrated a decline in depressive symptoms for both conditions and no significant differences in the magnitude or rate of change. The results provide preliminary evidence for the efficacy of IFS in the treatment of depressive symptoms.
Goal Achievement and Goal-Related Cognitions in Behavioral Activation Treatment for Depression.

This study investigates the extent to which achieving goals during behavioral activation (BA) treatment predicts depressive symptom improvement, and whether goal-related cognitions predict goal achievement or treatment response. Patients (n = 110, mean age 37.6, 54% female) received low-intensity cognitive behavioral therapy for depression, which included setting up to three behavioral goals in each of three BA-focused sessions (i.e., 9 goals per patient). Patients completed items from the Self-Regulation Skills Battery to assess goal-related cognitions and goal achievement for these goals, and depressive symptoms were assessed weekly with the PHQ-9. Multilevel models investigated the relationships between goal-related cognitions, goal achievement and depressive symptoms. Depressive symptoms improved curve-linearly during treatment (B = 0.12, p < .001), but were not predicted by contemporaneous or time-lagged goal achievement. While cumulative goal achievement predicted end-of-treatment depressive symptoms (r = -.23; p < .01), this relationship became nonsignificant after controlling for depressive symptoms at baseline. Readiness, planning and action control predicted greater goal achievement, whereas greater goal ownership predicted less goal achievement (all p < .05). Motivation and outcome expectancy were related to subsequent, but not contemporaneous, improvements in depressive symptoms (all p < .05). This study indicates the importance of goal-related cognitions in BA treatments, and future research should investigate potential moderators of the relationships between goal-related cognitions, goal achievement, and improvements in depressive symptoms.
Computerised therapy for depression with clinician vs. assistant and brief vs. extended phone support: study protocol for a randomised controlled trial.

Computerised cognitive behaviour therapy (cCBT) involves standardised, automated, interactive self-help programmes delivered via a computer. Randomised controlled trials (RCTs) and observational studies have shown than cCBT reduces depressive symptoms as much as face-to-face therapy and more than waiting lists or treatment as usual. cCBT's efficacy and acceptability may be influenced by the "human" support offered as an adjunct to it, which can vary in duration and can be offered by people with different levels of training and expertise. This is a two-by-two factorial RCT investigating the effectiveness, cost-effectiveness and acceptability of cCBT supplemented with 12 weekly phone support sessions are either brief (5-10 min) or extended (20-30 min) and are offered by either an expert clinician or an assistant with no clinical training. Adults with non-suicidal depression in primary care can self-refer into the study by completing and posting to the research team a standardised questionnaire. Following an assessment interview, eligible referrals have access to an 8-session cCBT programme called Beating the Blues and are randomised to one of four types of support: brief-assistant, extended-assistant, brief-clinician or extended-clinician.A sample size of 35 per group (total 140) is sufficient to detect a moderate effect size with 90% power on our primary outcome measure (Work and Social Adjustment Scale); assuming a 30% attrition rate, 200 patients will be randomised. Secondary outcome measures include the Beck Depression and Anxiety Inventories and the PHQ-9 and GAD-7. Data on clinical outcomes, treatment usage and patient experiences are collected in three ways: by post via self-report questionnaires at week 0 (randomisation) and at weeks 12 and 24 post-randomisation; electronically by the cCBT system every time patients log-in; by phone during assessments, support sessions and exit interviews. The study's factorial design increases its efficiency by allowing the concurrent investigation of two types of adjunct support for cCBT with a single sample of participants. Difficulties in recruitment, uptake and retention of participants are anticipated because of the nature of the targeted clinical problem (depression impairs motivation) and of the studied interventions (lack of face-to-face contact because referrals, assessments, interventions and data collection are completed by phone, computer or post). Current Controlled Trials ISRCTN98677176.
Meta-analysis of the effects of peer-administered psychosocial interventions on symptoms of depression.

Many community mental health centers have implemented peer treatment models that employ recovered former clients as cost-efficient adjunct providers. The effectiveness of these and other peer-administered interventions (PAIs) for treating depression symptoms has not been well-established. The current study is a meta-analysis of PAIs' effects on depression symptoms. Twenty-three eligible studies were identified. Study characteristics were coded by multiple raters, random-effects models were used to compare mean effect sizes, and mixed-effects models were used to test for moderation. PAIs produced significant pre-post reductions in depression symptoms (d = .5043 [95 % CI .3675-.6412]). In direct comparisons, PAIs performed as well as non-peer-administered interventions (.0848 [-.1455-.3151]), and significantly better than no-treatment conditions (.2011 [.0104-.3918]). PAIs that involved a professional in a secondary treatment role were significantly less effective than those that were purely peer-administered, and educational/skills-based PAIs produced better outcomes than those that were mainly supportive. Follow-up data, when available, indicated that PAIs' benefits were maintained. PAIs reduce depression symptoms and warrant further study. The clinical significance of PAIs' benefits, and whether they are better suited as stand-alone or adjunct treatments, remain to be established. Implications for the roles of mental health professionals are discussed.
The effect of treatment as usual on major depressive disorder: A meta-analysis.

Health-economic models are used to evaluate the long-term cost-effectiveness of an intervention and typically include treatment as usual (TAU) as comparator. Part of the data used for these models are acquired from the literature and thus valid information is needed on the effects of TAU on depression. The aim of the current meta-analysis was to examine positive and negative outcomes of major depression for patients receiving TAU. We conducted a systematic literature search in PubMed, EMBASE, PsycInfo, and the Cochrane Central Register of Controlled Trials. Eligible studies were randomized controlled trials including a TAU group for depression. The quality of the included studies was assessed using the criteria described in the "Risk of bias assessment tool". Four separate meta-analyses were performed to estimate remission, response, reliable change and deterioration rates at short-term (≤6 months from baseline). Thirty-eight studies including 2099 patients in the TAU were identified. Nine studies (24%) met five or six quality criteria, 17 studies (44%) met three or four quality criteria and 12 studies (32%) met one or two quality criteria. After adjusting for publication bias, the first meta-analysis (n=33) showed that 33% of the patients remitted from depression. The second meta-analysis (n=13) demonstrated that 27% of the patients responded to treatment, meaning that their depressive symptom decreased at least 50% from baseline to follow-up measurement. The third meta-analysis (n=7) indicated that 31% of the patients showed a reliable change, meaning that their depressive symptoms improved more than expected by random variation alone. Finally, 12% of the patients deteriorated, meaning that their depressive symptoms became more severe. Statistical heterogeneity was substantial in most analyses and was not fully explained by subgroup analyses. The quality of the included studies was moderate. This may result in overestimation of the true effects. The treatments labelled as TAU for depression were clinically and statistically heterogeneous. We demonstrated that a few patients benefited from TAU and a small number of patients suffered from worsened depressive symptoms at the short term. The results can be included in health-economic models that compare depression treatments to TAU.
Patients' perspectives on treatment with Metacognitive Training for Depression (D-MCT): Results on acceptability.

Our understanding of how patients perceive and evaluate treatment for depression is scarce. Because dropout rates are high among individuals in treatment for depression, it is necessary to expand the focus of research to patients' perspectives on the treatment they receive. The aim of the two studies presented was to evaluate patient acceptance of Metacognitive Training for Depression (D-MCT), a highly standardized group intervention. Acceptability was evaluated in an open case series (Study 1, N = 70) and a randomized controlled trial (RCT; Study 2, N = 84). In both studies, participants rated their subjective appraisal on a 15-item questionnaire after administration of eight D-MCT modules. In Study 1, a subsample of patients also evaluated modules individually after each session. In Study 2, ratings were compared to an active control intervention (walking and psychoeducation sessions), and assessment was repeated at 6-months follow-up. High rates of acceptance of the D-MCT were demonstrated in both studies immediately after treatment (post-assessment). In addition, the RCT showed better evaluations for the D-MCT than for the control condition at post-assessment as well as at 6-months follow-up. Weekly session evaluations in Study 1 indicated good acceptance for individual modules. Evaluations could only be obtained from completers; blinding of patients and therapists was not possible. Results of the two studies suggest that D-MCT represents a promising group treatment in terms of patient acceptance and provide an example of how patients' feedback may be used to improve treatment.