An experimental paradigm for triggering a depressive syndrome

Research investigating whether depression is an adaptation or a disorder has been hindered by the lack of an experimental paradigm that can test causal relationships. Moreover, studies attempting to induce the syndrome often fail to capture the suite of feelings, thoughts, and behaviors that characterize depression. An experimental paradigm for triggering depressive symptoms can improve our etiological understanding of the syndrome. The present study attempts to induce core symptoms of depression, particularly those related to rumination, in a healthy, nonclinical sample through a controlled social experiment. These symptoms are sad or depressed mood, anhedonia, feelings of worthlessness or guilt, and difficulty concentrating. One hundred and thirty-four undergraduate students were randomly assigned to either an exclusion (E) or control (C) group. Participants in the exclusion group were exposed to a modified Cyberball paradigm, designed to make them feel socially excluded, followed by a dual-interference task to assess whether their exclusion interfered with their working memory. Excluded participants: (a) self-reported a significant increase in sadness and decrease in happiness, but not anxiety or calmness; (b) scored significantly higher in four of five variables related to depressive rumination; and (c) performed significantly worse on a dual-interference task, suggesting an impaired ability to concentrate. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Long-term outcomes of once weekly v. twice weekly sessions of cognitive behavioral therapy and interpersonal psychotherapy for depression

BACKGROUND

Twice weekly sessions of cognitive behavioral therapy (CBT) and interpersonal psychotherapy (IPT) for major depressive disorder (MDD) lead to less drop-out and quicker and better response compared to once weekly sessions at posttreatment, but it is unclear whether these effects hold over the long run.

AIMS

Compare the effects of twice weekly v. weekly sessions of CBT and IPT for depression up to 24 months since the start of treatment.

METHODS

Using a 2 × 2 factorial design, this multicentre study randomized 200 adults with MDD to once or twice weekly sessions of CBT or IPT over 16-24 weeks, up to a maximum of 20 sessions. Main outcome measures were depression severity, measured with the Beck Depression Inventory-II and the Longitudinal Interval Follow-up Evaluation. Intention-to-treat analyses were conducted.

RESULTS

Compared with patients who received once weekly sessions, patients who received twice weekly sessions showed a significant decrease in depressive symptoms up through month 9, but this effect was no longer apparent at month 24. Patients who received CBT showed a significantly larger decrease in depressive symptoms up to month 24 compared to patients who received IPT, but the between-group effect size at month 24 was small. No differential effects between session frequencies or treatment modalities were found in response or relapse rates.

CONCLUSIONS

Although a higher session frequency leads to better outcomes in the acute phase of treatment, the difference in depression severity dissipated over time and there was no significant difference in relapse.

Evidence-based practice in psychology: Context, guidelines, and action

A science-based approach to understanding health and disease emerged gradually over the past two centuries, while the modern evidence-based approach to health care emerged only about a half-century ago. The evidence-based approach to practice in health service psychology (HSP) gained significant traction after the American Psychological Association (APA) adopted it as policy in 2005, and in 2021, APA approved the first comprehensive set of guidelines for practicing HSP in an evidence-based manner. Several authors of this 2021 set of guidelines along with an additional subject matter expert wrote the current article. This article outlines the development of evidence-based practice in psychology, discusses the strengths and weaknesses of each of the three components of evidence-based practice (i.e., best available research, clinical expertise, and patient characteristics, culture, and preferences), and highlights the complexity involved in integrating related considerations during clinical decision making. The article then discusses strategies for the systematic application of this approach in HSP to improve the effectiveness of behavioral health care and strengthen population health. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Cost-effectiveness of twice-weekly versus once-weekly sessions of cognitive-behavioural therapy and interpersonal psychotherapy for depression at 12 months after start of treatment: randomised controlled trial

BACKGROUND

Cost-effective treatments are needed to reduce the burden of depression. One way to improve the cost-effectiveness of psychotherapy might be to increase session frequency, but keep the total number of sessions constant.

AIM

To evaluate the cost-effectiveness of twice-weekly compared with once-weekly psychotherapy sessions after 12 months, from a societal perspective.

METHOD

An economic evaluation was conducted alongside a randomised controlled trial comparing twice-weekly versus once-weekly sessions of psychotherapy (cognitive-behavioural therapy or interpersonal psychotherapy) for depression. Missing data were handled by multiple imputation. Statistical uncertainty was estimated with bootstrapping and presented with cost-effectiveness acceptability curves.

RESULTS

Differences between the two groups in depressive symptoms, physical and social functioning, and quality-adjusted life-years (QALY) at 12-month follow-up were small and not statistically significant. Total societal costs in the twice-weekly session group were higher, albeit not statistically significantly so, than in the once-weekly session group (mean difference €2065, 95% CI -686 to 5146). The probability that twice-weekly sessions are cost-effective compared with once-weekly sessions was 0.40 at a ceiling ratio of €1000 per point improvement in Beck Depression Inventory-II score, 0.32 at a ceiling ratio of €50 000 per QALY gained, 0.23 at a ceiling ratio of €1000 per point improvement in physical functioning score and 0.62 at a ceiling ratio of €1000 per point improvement in social functioning score.

CONCLUSIONS

Based on the current results, twice-weekly sessions of psychotherapy for depression are not cost-effective over the long term compared with once-weekly sessions.

Cognitive Behavioral Immersion for Substance Use Disorders: A Feasibility and Pilot Study of a Peer-Based Coaching Program in the Metaverse

Introduction: Cognitive Behavioral Immersion (CBI) is a novel cognitive-behavioral skills program delivered by lay coaches in the metaverse through immersive virtual reality technology. Objectives: The objective for this study was to run a feasibility and pilot study of CBI for individuals in recovery from a substance use disorder. Methods: Data from 48 participants were used and program usage was assessed. Participants were asked to complete questionnaires assessing affect, perceived online social support, and group therapy alliance throughout their participation in the program. Structured qualitative interviews were also conducted with a subset of participants (n = 11) to understand the feasibility of the novel program. Results: Participants experienced a significant increase in their positive affect and non-significant decrease in their negative affect during their most recently attended session. Participants also experienced a nonsignificant increase in online social support across their participation in the program. Structured qualitative interviews revealed eight primary themes, including both advantages (community, psychoeducational impact, immersion, comparability with other interventions, coping in the pandemic, and anonymity) and areas of improvement (challenges and technological usability) of the program. Conclusion: This study provides preliminary support for the feasibility and potential effects of CBI and its incorporation of lay coaches to lead cognitive-behavioral skills groups in the metaverse. Future research is encouraged to examine the feasibility and efficacy of this program for a broader array of clinical presentations.

Cognitive restructuring and psychotherapy outcome: A meta-analytic review

Cognitive restructuring (CR) is one method that is hypothesized to play a role in the process of change across many psychotherapies and for a variety of clinical presentations. In this article, we define and illustrate CR. We then present a meta-analysis of four studies (including a total of 353 clients) examining the effect of CR measured within session on psychotherapy outcomes. The overall CR-outcome association was r = .35 (95% CI [.24, .44]; equivalent of d = 0.85). While more research on CR and immediate psychotherapy outcomes is needed, there is accumulating encouraging evidence regarding the therapeutic effect of CR. We conclude by advancing implications for clinical training and therapeutic practices. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Examining Predictors of Depression and Anxiety Symptom Change in Cognitive Behavioral Immersion: Observational Study

BACKGROUND

Depressive and anxiety disorders are the most common mental disorders, and there is a critical need for effective, affordable, and accessible interventions. Cognitive Behavioral Immersion (CBI) is a novel group-based cognitive behavioral skills training program delivered by lay coaches in the metaverse that can be accessed through various modalities including virtual reality (VR) head-mounted displays or flat-screen devices. Combining its ability to offer empirically supported therapy skills in a digital setting that can still facilitate interpersonal variables (eg, working alliance and sense of social support) with the aid of lay coaches, CBI has the potential to help fill this critical need.

OBJECTIVE

This study had 2 primary aims. First, we aimed to examine changes in depression and anxiety symptoms in a sample of individuals who participated in CBI. Second, we aimed to examine 2 interpersonal process variables (working alliance and web-based social support) as predictors of symptom changes. We predicted CBI participants would experience depression and anxiety symptom improvements and that such improvements would be associated with an increase in both interpersonal process variables.

METHODS

The study sample consists of 127 participants who endorsed clinical levels of depression or anxiety symptoms during their first CBI session and attended at least 2 sessions. Participants were asked to complete self-report measures of depression symptoms, anxiety symptoms, alliance, and web-based social support throughout their participation in CBI.

RESULTS

Repeated measures ANOVAs determined that depression and anxiety symptom scores differed significantly across sessions (Ps<.01). We also found participants' web-based social support predicted improvement in depression symptoms (P=.01), but neither the alliance nor web-based social support predicted change in anxiety symptoms (Ps>.05). We also observed a significant difference in anxiety symptoms between participants who used a VR head-mounted display to access CBI and those who did not, such that participants who used VR head-mounted displays endorsed lower anxiety symptoms than those who did not at nearly every session (P=.04).

CONCLUSIONS

Participation in CBI is associated with both depression and anxiety symptom improvement. Web-based social support may play an important role in fostering changes in depression symptoms. Future studies are encouraged to continue examining the process of change in CBI with special attention paid to methods that can elucidate causal mechanisms of change.

Effects of an Artificial Intelligence Platform for Behavioral Interventions on Depression and Anxiety Symptoms: Randomized Clinical Trial

BACKGROUND

The need for scalable delivery of mental health care services that are efficient and effective is now a major public health priority. Artificial intelligence (AI) tools have the potential to improve behavioral health care services by helping clinicians collect objective data on patients' progress, streamline their workflow, and automate administrative tasks.

OBJECTIVE

The aim of this study was to determine the feasibility, acceptability, and preliminary efficacy of an AI platform for behavioral health in facilitating better clinical outcomes for patients receiving outpatient therapy.

METHODS

The study was conducted at a community-based clinic in the United States. Participants were 47 adults referred for outpatient, individual cognitive behavioral therapy for a main diagnosis of a depressive or anxiety disorder. The platform provided by Eleos Health was compared to treatment-as-usual (TAU) approach during the first 2 months of therapy. This AI platform summarizes and transcribes the therapy session, provides feedback to therapists on the use of evidence-based practices, and integrates these data with routine standardized questionnaires completed by patients. The information is also used to draft the session's progress note. Patients were randomized to receive either therapy provided with the support of an AI platform developed by Eleos Health or TAU at the same clinic. Data analysis was carried out based on intention-to-treat approach from December 2022 to January 2023. The primary outcomes included the feasibility and acceptability of the AI platform. Secondary outcomes included changes in depression (Patient Health Questionnaire-9) and anxiety (Generalized Anxiety Disorder-7) scores as well as treatment attendance, satisfaction, and perceived helpfulness.

RESULTS

A total of 72 patients were approached, of whom 47 (67%) agreed to participate. Participants were adults (34/47, 72% women and 13/47, 28% men; mean age 30.64, SD 11.02 years), 23 randomized to the AI platform group, and 24 to TAU. Participants in the AI group attended, on average, 67% (mean 5.24, SD 2.31) more sessions compared to those in TAU (mean 3.14, SD 1.99). Depression and anxiety symptoms were reduced by 34% and 29% in the AI platform group versus 20% and 8% for TAU, respectively, with large effect sizes for the therapy delivered with the support of the AI platform. No group difference was found in 2-month treatment satisfaction and perceived helpfulness. Further, therapists using the AI platform submitted their progress notes, on average, 55 hours earlier than therapists in the TAU group (t=-0.73; P<.001).

CONCLUSIONS

In this randomized controlled trial, therapy provided with the support of Eleos Health demonstrated superior depression and anxiety outcomes as well as patient retention, compared with TAU. These findings suggest that complementing the mental health services provided in community-based clinics with an AI platform specializing in behavioral treatment was more effective in reducing key symptoms than standard therapy.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05745103; https://classic.clinicaltrials.gov/ct2/show/NCT05745103.

Components of smartphone cognitive-behavioural therapy for subthreshold depression among 1093 university students: a factorial trial

BACKGROUND

Internet-based cognitive-behavioural therapy (iCBT) is effective for subthreshold depression. However, which skills provided in iCBT packages are more effective than others is unclear. Such knowledge can inform construction of more effective and efficient iCBT programmes.

OBJECTIVE

To examine the efficacy of five components of iCBT for subthreshold depression.

METHODS

We conducted an factorial trial using a smartphone app, randomly allocating presence or absence of five iCBT skills including self-monitoring, behavioural activation (BA), cognitive restructuring (CR), assertiveness training (AT) and problem-solving. Participants were university students with subthreshold depression. The primary outcome was the change on the Patient Health Questionnaire-9 (PHQ-9) from baseline to week 8. Secondary outcomes included changes in CBT skills.

FINDINGS

We randomised a total of 1093 participants. In all groups, participants had a significant PHQ-9 reduction from baseline to week 8. Depression reduction was not significantly different between presence or absence of any component, with corresponding standardised mean differences (negative values indicate specific efficacy in favour of the component) ranging between -0.04 (95% CI -0.16 to 0.08) for BA and 0.06 (95% CI -0.06 to 0.18) for AT. Specific CBT skill improvements were noted for CR and AT but not for the others.

CONCLUSIONS

There was significant reduction in depression for all participants regardless of the presence and absence of the examined iCBT components.

CLINICAL IMPLICATION

We cannot yet make evidence-based recommendations for specific iCBT components. We suggest that future iCBT optimisation research should scrutinise the amount and structure of components to examine.

TRIAL REGISTRATION NUMBER

UMINCTR-000031307.

Mental health promotion among resettled Bhutanese adults in Massachusetts: Results of a peer-led family-centred Social and Emotional Well-being (SEW) intervention study

Family-centred interventions addressing sociocultural and emotional stressors promise to prevent mental health problems among refugees in the United States. Peer-led strategies are highly valued, as they engage communities and promote the sustainability of interventions. We assessed the effects of a peer-led family-centred Social and Emotional Well-being (SEW) intervention on preventive (coping, social networking and conflict resolution) and mental health outcomes (stress, anxiety and depression) among resettled Bhutanese adults in Massachusetts. We conducted a SEW intervention with a pre-intervention versus post-intervention (7-day) and follow-up (3-month) evaluation among 103 adults (50 families). The SEW is a culturally tailored 5-weekly session program that included health education, problem-solving and mind-body exercises to increase knowledge and skills regarding stress management and conflict resolution. We measured anxiety and depression using the Hopkins Symptom Checklist-25 and stress using Cohen Perceived Stress scales. Health-promoting behaviours were measured using validated scales. We used paired t-tests for continuous and McNemar tests for categorical variables. Mean scores significantly decreased from pre-intervention to post-intervention and follow-up for stress by 15% and 13.9%, anxiety by 20.9% and 25.1% and depression by 18.7% and 20.4% (all p's < 0.01). Mean scores increased from pre-intervention to post-intervention and follow-up for coping by 10% and 17.2%, and for community networking by 28% and 36.8% (all p's < 0.01). Generalised estimating equations showed a significant reduction in stress, anxiety, depression and improved coping, self-efficacy, family and community networking scored from baseline to follow-ups (all p's < 0.01). Our peer-led family-centred SEW intervention was associated with improved preventive and mental health outcomes among Bhutanese adults.

Efficacy and moderators of cognitive therapy versus behavioural activation for adults with depression: study protocol of a systematic review and meta-analysis of individual participant data

BACKGROUND

Cognitive therapy and behavioural activation are both widely applied and effective psychotherapies for depression, but it is unclear which works best for whom. Individual participant data (IPD) meta-analysis allows for examining moderators at the participant level and can provide more precise effect estimates than conventional meta-analysis, which is based on study-level data.

AIMS

This article describes the protocol for a systematic review and IPD meta-analysis that aims to compare the efficacy of cognitive therapy and behavioural activation for adults with depression, and to explore moderators of treatment effect. (PROSPERO: CRD42022341602).

METHOD

Systematic literature searches will be conducted in PubMed, PsycINFO, EMBASE and the Cochrane Library, to identify randomised clinical trials comparing cognitive therapy and behavioural activation for adult acute-phase depression. Investigators of these trials will be invited to share their participant-level data. One-stage IPD meta-analyses will be conducted with mixed-effects models to assess treatment effects and to examine various available demographic, clinical and psychological participant characteristics as potential moderators. The primary outcome measure will be depressive symptom level at treatment completion. Secondary outcomes will include post-treatment anxiety, interpersonal functioning and quality of life, as well as follow-up outcomes.

CONCLUSIONS

To the best of our knowledge, this will be the first IPD meta-analysis concerning cognitive therapy versus behavioural activation for adult depression. This study has the potential to enhance our knowledge of depression treatment by using state-of-the-art statistical techniques to compare the efficacy of two widely used psychotherapies, and by shedding more light on which of these treatments might work best for whom.

Peer-led family-centred problem management plus for immigrants (PMP-I) for mental health promotion among immigrants in USA: protocol for a pilot, randomised controlled feasibility trial

INTRODUCTION

Research is needed to investigate preventive strategies to reduce mental health burden and assess effective implementation among immigrants. Problem management plus (PMP) is a low-intensity multicomponent psychological intervention developed by the World Health Organization (WHO) that trained laypeople can deliver. PMP has been adapted as a prevention intervention and developed as PMP for immigrants (PMP-I), including psychoeducation, problem-solving, behavioural activations and mind-body exercise, to address immigrants' multiple stressors. This pilot trial aims to assess the feasibility and acceptability of PMP-I and provide a preliminary estimate of the difference between PMP-I versus community support services pamphlets on the primary outcomes of interest (stress, anxiety and depressive symptoms) to inform the design of a large-scale intervention.

METHODS AND ANALYSIS

The feasibility and acceptability of PMP-I will be assessed by measuring recruitment, session attendance, retention rates, programme acceptability and the fidelity of intervention delivery. This pilot trial will test preliminary effects of PMP-I vs community support services pamphlets in a randomised controlled trial (N=232 participants from 116 families (2 members/family); 58 families randomised to condition intervention or control) on stress, anxiety and depressive symptoms (primary outcomes), chronic physiological stress assessed in hair cortisol (secondary outcomes), and coping, family conflict resolution, and social networking (targets), with assessment at baseline, postintervention and 3-month postintervention. Eligibility criteria for the primary study participants include Bhutanese ≥18 years resettled in Massachusetts with a score of ≤14 on the Patient Health Questionnaire-9. All family members will be invited to participate in the family-based intervention (one session/week for 5 weeks). Multilevel modelling will compare the longitudinal change in outcomes for each treatment arm.

ETHICS AND DISSEMINATION

The Institutional Review Board of the University of Massachusetts Amherst approved this study (Protocol: 1837). Written informed consent will be obtained from all participants. The study results will be used to inform the design of a large-scale intervention and will be disseminated in peer-reviewed journals and conferences.

TRIAL REGISTRATION NUMBER

NCT04453709.

Socioeconomic Indicators of Treatment Prognosis for Adults With Depression: A Systematic Review and Individual Patient Data Meta-analysis

Importance

Socioeconomic factors are associated with the prevalence of depression, but their associations with prognosis are unknown. Understanding this association would aid in the clinical management of depression.

Objective

To determine whether employment status, financial strain, housing status, and educational attainment inform prognosis for adults treated for depression in primary care, independent of treatment and after accounting for clinical prognostic factors.

Data Sources

The Embase, International Pharmaceutical Abstracts, MEDLINE, PsycINFO, and Cochrane (CENTRAL) databases were searched from database inception to October 8, 2021.

Study Selection

Inclusion criteria were as follows: randomized clinical trials that used the Revised Clinical Interview Schedule (CIS-R; the most common comprehensive screening and diagnostic measure of depressive and anxiety symptoms in primary care randomized clinical trials), measured socioeconomic factors at baseline, and sampled patients with unipolar depression who sought treatment for depression from general physicians/practitioners or who scored 12 or more points on the CIS-R. Exclusion criteria included patients with depression secondary to a personality or psychotic disorder or neurologic condition, studies of bipolar or psychotic depression, studies that included children or adolescents, and feasibility studies. Studies were independently assessed against inclusion and exclusion criteria by 2 reviewers.

Data Extraction and Synthesis

Data were extracted and cleaned by data managers for each included study, further cleaned by multiple reviewers, and cross-checked by study chief investigators. Risk of bias and quality were assessed using the Quality in Prognosis Studies (QUIPS) and Grading of Recommendations, Assessment, Development and Evaluation (GRADE) tools, respectively. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses-Individual Participant Data (PRISMA-IPD) reporting guidelines.

Main Outcomes and Measures

Depressive symptoms at 3 to 4 months after baseline.

Results

This systematic review and individual patient data meta-analysis identified 9 eligible studies that provided individual patient data for 4864 patients (mean [SD] age, 42.5 (14.0) years; 3279 women [67.4%]). The 2-stage random-effects meta-analysis end point depressive symptom scale scores were 28% (95% CI, 20%-36%) higher for unemployed patients than for employed patients and 18% (95% CI, 6%-30%) lower for patients who were homeowners than for patients living with family or friends, in hostels, or homeless, which were equivalent to 4.2 points (95% CI, 3.6-6.2 points) and 2.9 points (95% CI, 1.1-4.9 points) on the Beck Depression Inventory II, respectively. Financial strain and educational attainment were associated with prognosis independent of treatment, but unlike employment and housing status, there was little evidence of associations after adjusting for clinical prognostic factors.

Conclusions and Relevance

Results of this systematic review and meta-analysis revealed that unemployment was associated with a poor prognosis whereas home ownership was associated with improved prognosis. These differences were clinically important and independent of the type of treatment received. Interventions that address employment or housing difficulties could improve outcomes for patients with depression.

Self-critical perfectionism, dependency and entropy during cognitive behavioural therapy for depression

OBJECTIVES

This study examined whether 'personality vulnerability' (i.e., self-critical perfectionism or dependency) predicts the trajectory of change, as well as variability and instability (i.e., entropy) of symptoms, during cognitive behaviour therapy (CBT) for depression.

DESIGN

Study participants were outpatients (N = 312) experiencing a primary mood disorder. Participants received CBT for depression group sessions over 15 weeks. Self-report measures of self-critical perfectionism, dependency, and depression were collected longitudinally.

METHODS

A latent growth mixture modelling (LGMM) statistical approach was used to evaluate the presence of latent classes of individuals based on their longitudinal pattern of symptom change during CBT and to evaluate whether baseline self-critical perfectionism or dependency predicts class membership. A Latent Acceleration Score (LAS) model evaluated whether perfectionism or dependency led to variability in depression symptom change (e.g., velocity) by considering changes in velocity (e.g., acceleration and/or deceleration).

RESULTS

LGMM indicated the presence of two latent classes that represent symptom improvement (N = 239) or minimal symptom improvement over time (N = 73). Elevated baseline self-critical perfectionism, but not dependency, predicted a greater likelihood of membership in the class of participants who demonstrated minimal symptom improvement over time. The second analysis examined whether baseline self-critical perfectionism also predicts depression symptom variability and instability. The LAS perfectionism model demonstrated that perfectionism accelerates depression symptom change during the first seven sessions of treatment, then has a decelerating effect on depression symptom change.

CONCLUSIONS

Results indicated that higher baseline self-critical perfectionism predicted higher variability and instability in depression symptoms and variability in acceleration and deceleration, over the course of treatment.

Life events and treatment prognosis for depression: A systematic review and individual patient data meta-analysis

OBJECTIVE

To investigate associations between major life events and prognosis independent of treatment type: (1) after adjusting for clinical prognostic factors and socio-demographics; (2) amongst patients with depressive episodes at least six-months long; and (3) patients with a first life-time depressive episode.

METHODS

Six RCTs of adults seeking treatment for depression in primary care met eligibility criteria, individual patient data (IPD) were collated from all six (n = 2858). Participants were randomized to any treatment and completed the same baseline assessment of life events, demographics and clinical prognostic factors. Two-stage random effects meta-analyses were conducted.

RESULTS

Reporting any major life events was associated with poorer prognosis regardless of treatment type. Controlling for baseline clinical factors, socio-demographics and social support resulted in minimal residual evidence of associations between life events and treatment prognosis. However, removing factors that might mediate the relationships between life events and outcomes reporting: arguments/disputes, problem debt, violent crime, losing one's job, and three or more life events were associated with considerably worse prognoses (percentage difference in 3-4 months depressive symptoms compared to no reported life events =30.3%(95%CI: 18.4-43.3)).

CONCLUSIONS

Assessing for clinical prognostic factors, social support, and socio-demographics is likely to be more informative for prognosis than assessing self-reported recent major life events. However, clinicians might find it useful to ask about such events, and if they are still affecting the patient, consider interventions to tackle problems related to those events (e.g. employment support, mediation, or debt advice). Further investigations of the efficacy of such interventions will be important.

Clinical research challenges posed by difficult-to-treat depression

Approximately one-third of individuals in a major depressive episode will not achieve sustained remission despite multiple, well-delivered treatments. These patients experience prolonged suffering and disproportionately utilize mental and general health care resources. The recently proposed clinical heuristic of 'difficult-to-treat depression' (DTD) aims to broaden our understanding and focus attention on the identification, clinical management, treatment selection, and outcomes of such individuals. Clinical trial methodologies developed to detect short-term therapeutic effects in treatment-responsive populations may not be appropriate in DTD. This report reviews three essential challenges for clinical intervention research in DTD: (1) how to define and subtype this heterogeneous group of patients; (2) how, when, and by what methods to select, acquire, compile, and interpret clinically meaningful outcome metrics; and (3) how to choose among alternative clinical trial design options to promote causal inference and generalizability. The boundaries of DTD are uncertain, and an evidence-based taxonomy and reliable assessment tools are preconditions for clinical research and subtyping. Traditional outcome metrics in treatment-responsive depression may not apply to DTD, as they largely reflect the only short-term symptomatic change and do not incorporate durability of benefit, side effect burden, or sustained impact on quality of life or daily function. The trial methodology will also require modification as trials will likely be of longer duration to examine the sustained impact, raising complex issues regarding control group selection, blinding and its integrity, and concomitant treatments.

Social and Emotional Wellbeing (SEW) Intervention for Mental Health Promotion Among Resettled Bhutanese Adults in Massachusetts

Preventative behavioral interventions aimed at reducing mental problems among refugees are limited. We assessed the effect of a Social and Emotional Wellbeing (SEW) intervention on health-promoting behaviors (coping, social-networking, and conflict-resolution) and health-outcomes (stress, anxiety, and depression) among resettled Bhutanese adults in Western Massachusetts. The study was a community-based SEW intervention with pre-posttest evaluation among 44 Bhutanese adults in Western Massachusetts. The SEW is a culturally tailored 5-week, once-weekly health-education, problem solving, and mind-body exercise program to promote stress management skills. We used validated scales to measure outcomes. Mean scores of mental problems decreased by 5.9 for depression, 9.0 for anxiety, and 5.0 for stress post-intervention (p < 0.01). Mean scores increased by 27.3 for coping, 10.6 for social support, and 20.4 for conflict-resolution. Mean social-network scores increased by 4.6 for family, 4.7 for friends, and 1.8 for community networks (p < 0.01). Our Bhutanese participants reported improvement in their mental health after attending SEW intervention.

Initial treatment choices to achieve sustained response in major depression: a systematic review and network meta-analysis

Major depression is often a relapsing disorder. It is therefore important to start its treatment with therapies that maximize the chance of not only getting the patients well but also keeping them well. We examined the associations between initial treatments and sustained response by conducting a network meta-analysis of randomized controlled trials (RCTs) in which adult patients with major depression were randomized to acute treatment with a psychotherapy (PSY), a protocolized antidepressant pharmacotherapy (PHA), their combination (COM), standard treatment in primary or secondary care (STD), or pill placebo, and were then followed up through a maintenance phase. By design, acute phase treatment could be continued into the maintenance phase, switched to another treatment or followed by discretionary treatment. We included 81 RCTs, with 13,722 participants. Sustained response was defined as responding to the acute treatment and subsequently having no depressive relapse through the maintenance phase (mean duration: 42.2±16.2 weeks, range 24-104 weeks). We extracted the data reported at the time point closest to 12 months. COM resulted in more sustained response than PHA, both when these treatments were continued into the maintenance phase (OR=2.52, 95% CI: 1.66-3.85) and when they were followed by discretionary treatment (OR=1.80, 95% CI: 1.21-2.67). The same applied to COM in comparison with STD (OR=2.90, 95% CI: 1.68-5.01 when COM was continued into the maintenance phase; OR=1.97, 95% CI: 1.51-2.58 when COM was followed by discretionary treatment). PSY also kept the patients well more often than PHA, both when these treatments were continued into the maintenance phase (OR=1.53, 95% CI: 1.00-2.35) and when they were followed by discretionary treatment (OR=1.66, 95% CI: 1.13-2.44). The same applied to PSY compared with STD (OR=1.76, 95% CI: 0.97-3.21 when PSY was continued into the maintenance phase; OR=1.83, 95% CI: 1.20-2.78 when PSY was followed by discretionary treatment). Given the average sustained response rate of 29% on STD, the advantages of PSY or COM over PHA or STD translated into risk differences ranging from 12 to 16 percentage points. We conclude that PSY and COM have more enduring effects than PHA. Clinical guidelines on the initial treatment choice for depression may need to be updated accordingly.

Is cognitive therapy enduring or antidepressant medications iatrogenic? Depression as an evolved adaptation

Patients treated to remission with cognitive therapy are less than half as likely to relapse following treatment termination as patients treated to remission with antidepressant medications. What remains unclear is whether cognitive therapy truly is enduring or antidepressant medications iatrogenic in terms of prolonging the life of the underlying episode. Depression is an inherently temporal phenomenon and most episodes will remit spontaneously even in the absence of treatment. There is reason to believe that depression is an adaptation that evolved because it keeps organisms focused on (ruminating about) complex social issues until they can be resolved and that medications work not so much by addressing a nonexistent deficit in neurotransmitters in the synapse as by perturbing underlying regulatory mechanisms to the point that they reassert homeostatic control over those systems. If the latter is true then medications may work to suppress symptoms in a manner that leaves the underlying episode unaddressed and patients at elevated risk of relapse whenever they are taken away. Cognitive therapy is predicated on the notion that people become depressed because they misinterpret life events in a negative fashion and that helping them examine the accuracy of their beliefs will relieve their distress. Such an approach would not work if patients were not capable of thinking clearly (if their "brains were broken") and it is likely that cognitive therapy works by making rumination more efficient so as to facilitate the resolution of the complex social issue(s) that brought the episode about. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Cognitive Behavior Therapy for Depression From an Evolutionary Perspective

Evolutionary medicine attempts to solve a problem with which traditional medicine has struggled historically; how do we distinguish between diseased states and "healthy" responses to disease states? Fever and diarrhea represent classic examples of evolved adaptations that increase the likelihood of survival in response to the presence of pathogens in the body. Whereas, the severe mental disorders like psychotic mania or the schizophrenias may involve true "disease" states best treated pharmacologically, most non-psychotic "disorders" that revolve around negative affects like depression or anxiety are likely adaptations that evolved to serve a function that increased inclusive fitness in our ancestral past. What this likely means is that the proximal mechanisms underlying the non-psychotic "disorders" are "species typical" and neither diseases nor disorders. Rather, they are coordinated "whole body" responses that prepare the individual to respond in a maximally functional fashion to the variety of different challenges that our ancestors faced. A case can be made that depression evolved to facilitate a deliberate cognitive style (rumination) in response to complex (often social) problems. What this further suggests is that those interventions that best facilitate the functions that those adaptations evolved to serve (such as rumination) are likely to be preferred over those like medications that simply anesthetize the distress. We consider the mechanisms that evolved to generate depression and the processes utilized in cognitive behavior therapy to facilitate those functions from an adaptationist evolutionary perspective.

The importance of transdiagnostic symptom level assessment to understanding prognosis for depressed adults: analysis of data from six randomised control trials

BACKGROUND

Depression is commonly perceived as a single underlying disease with a number of potential treatment options. However, patients with major depression differ dramatically in their symptom presentation and comorbidities, e.g. with anxiety disorders. There are also large variations in treatment outcomes and associations of some anxiety comorbidities with poorer prognoses, but limited understanding as to why, and little information to inform the clinical management of depression. There is a need to improve our understanding of depression, incorporating anxiety comorbidity, and consider the association of a wide range of symptoms with treatment outcomes.

METHOD

Individual patient data from six RCTs of depressed patients (total n = 2858) were used to estimate the differential impact symptoms have on outcomes at three post intervention time points using individual items and sum scores. Symptom networks (graphical Gaussian model) were estimated to explore the functional relations among symptoms of depression and anxiety and compare networks for treatment remitters and those with persistent symptoms to identify potential prognostic indicators.

RESULTS

Item-level prediction performed similarly to sum scores when predicting outcomes at 3 to 4 months and 6 to 8 months, but outperformed sum scores for 9 to 12 months. Pessimism emerged as the most important predictive symptom (relative to all other symptoms), across these time points. In the network structure at study entry, symptoms clustered into physical symptoms, cognitive symptoms, and anxiety symptoms. Sadness, pessimism, and indecision acted as bridges between communities, with sadness and failure/worthlessness being the most central (i.e. interconnected) symptoms. Connectivity of networks at study entry did not differ for future remitters vs. those with persistent symptoms.

CONCLUSION

The relative importance of specific symptoms in association with outcomes and the interactions within the network highlight the value of transdiagnostic assessment and formulation of symptoms to both treatment and prognosis. We discuss the potential for complementary statistical approaches to improve our understanding of psychopathology.

Is social support pre-treatment associated with prognosis for adults with depression in primary care?

OBJECTIVE

Depressed patients rate social support as important for prognosis, but evidence for a prognostic effect is lacking. We aimed to test the association between social support and prognosis independent of treatment type, and the severity of depression, and other clinical features indicating a more severe illness.

METHODS

Individual patient data were collated from all six eligible RCTs (n = 2858) of adults seeking treatment for depression in primary care. Participants were randomized to any treatment and completed the same baseline assessment of social support and clinical severity factors. Two-stage random effects meta-analyses were conducted.

RESULTS

Social support was associated with prognosis independent of randomized treatment but effects were smaller when adjusting for depressive symptoms and durations of depression and anxiety, history of antidepressant treatment, and comorbid panic disorder: percentage decrease in depressive symptoms at 3-4 months per z-score increase in social support = -4.14(95%CI: -6.91 to -1.29). Those with a severe lack of social support had considerably worse prognoses than those with no lack of social support: increase in depressive symptoms at 3-4 months = 14.64%(4.25% to 26.06%).

CONCLUSIONS

Overall, large differences in social support pre-treatment were associated with differences in prognostic outcomes. Adding the Social Support scale to clinical assessments may be informative, but after adjusting for routinely assessed clinical prognostic factors the differences in prognosis are unlikely to be of a clinically important magnitude. Future studies might investigate more intensive treatments and more regular clinical reviews to mitigate risks of poor prognosis for those reporting a severe lack of social support.

The contribution of depressive 'disorder characteristics' to determinations of prognosis for adults with depression: an individual patient data meta-analysis

BACKGROUND

This study aimed to investigate general factors associated with prognosis regardless of the type of treatment received, for adults with depression in primary care.

METHODS

We searched Medline, Embase, PsycINFO and Cochrane Central (inception to 12/01/2020) for RCTs that included the most commonly used comprehensive measure of depressive and anxiety disorder symptoms and diagnoses, in primary care depression RCTs (the Revised Clinical Interview Schedule: CIS-R). Two-stage random-effects meta-analyses were conducted.

RESULTS

Twelve (n = 6024) of thirteen eligible studies (n = 6175) provided individual patient data. There was a 31% (95%CI: 25 to 37) difference in depressive symptoms at 3-4 months per standard deviation increase in baseline depressive symptoms. Four additional factors: the duration of anxiety; duration of depression; comorbid panic disorder; and a history of antidepressant treatment were also independently associated with poorer prognosis. There was evidence that the difference in prognosis when these factors were combined could be of clinical importance. Adding these variables improved the amount of variance explained in 3-4 month depressive symptoms from 16% using depressive symptom severity alone to 27%. Risk of bias (assessed with QUIPS) was low in all studies and quality (assessed with GRADE) was high. Sensitivity analyses did not alter our conclusions.

CONCLUSIONS

When adults seek treatment for depression clinicians should routinely assess for the duration of anxiety, duration of depression, comorbid panic disorder, and a history of antidepressant treatment alongside depressive symptom severity. This could provide clinicians and patients with useful and desired information to elucidate prognosis and aid the clinical management of depression.

Mental health and clinical psychological science in the time of COVID-19: Challenges, opportunities, and a call to action

COVID-19 presents significant social, economic, and medical challenges. Because COVID-19 has already begun to precipitate huge increases in mental health problems, clinical psychological science must assert a leadership role in guiding a national response to this secondary crisis. In this article, COVID-19 is conceptualized as a unique, compounding, multidimensional stressor that will create a vast need for intervention and necessitate new paradigms for mental health service delivery and training. Urgent challenge areas across developmental periods are discussed, followed by a review of psychological symptoms that likely will increase in prevalence and require innovative solutions in both science and practice. Implications for new research directions, clinical approaches, and policy issues are discussed to highlight the opportunities for clinical psychological science to emerge as an updated, contemporary field capable of addressing the burden of mental illness and distress in the wake of COVID-19 and beyond. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Mental health and clinical psychological science in the time of COVID-19: Challenges, opportunities, and a call to action

COVID-19 presents significant social, economic, and medical challenges. Because COVID-19 has already begun to precipitate huge increases in mental health problems, clinical psychological science must assert a leadership role in guiding a national response to this secondary crisis. In this article, COVID-19 is conceptualized as a unique, compounding, multidimensional stressor that will create a vast need for intervention and necessitate new paradigms for mental health service delivery and training. Urgent challenge areas across developmental periods are discussed, followed by a review of psychological symptoms that likely will increase in prevalence and require innovative solutions in both science and practice. Implications for new research directions, clinical approaches, and policy issues are discussed to highlight the opportunities for clinical psychological science to emerge as an updated, contemporary field capable of addressing the burden of mental illness and distress in the wake of COVID-19 and beyond. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Evolutionary theory and the treatment of depression: It is all about the squids and the sea bass

According to the analytical rumination hypothesis, depression is an evolved adaptation (like pain or anxiety) that served in our ancestral past to keep people focused on complex interpersonal problems until they could arrive at a resolution (spontaneous remission). If this is true, then those clinical treatments that most facilitate the functions that depression evolved to serve are likely to be more advantageous in the long run than others that simply relieve distress. For example, antidepressant medications may be efficacious in the treatment of depression but only work for so long as they are taken. They may also have an iatrogenic effect that prolongs the duration of the underlying episode. Cognitive and behavioral interventions are as efficacious as medications in terms of reducing acute distress and also appear to have an enduring effect that protects against the return of subsequent symptoms. However, the bulk of the evidence for this effect comes from comparisons to prior medication treatment and it remains unclear whether these psychosocial interventions are truly preventative, or antidepressant medications iatrogenic. A study is described that could resolve this issue and test evolutionary theory with respect to the purported role of rumination in bringing about spontaneous remission.

Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT) through non-specialist providers and telemedicine: a study protocol for a non-inferiority randomized controlled trial

BACKGROUND

Depression and anxiety impact up to 1 in 5 pregnant and postpartum women worldwide. Yet, as few as 20% of these women are treated with frontline interventions such as evidence-based psychological treatments. Major barriers to uptake are the limited number of specialized mental health treatment providers in most settings, and problems with accessing in-person care, such as childcare or transportation. Task sharing of treatment to non-specialist providers with delivery on telemedicine platforms could address such barriers. However, the equivalence of these strategies to specialist and in-person models remains unproven.

METHODS

This study protocol outlines the Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT) randomized trial. SUMMIT is a pragmatic, non-inferiority test of the comparable effectiveness of two types of providers (specialist vs. non-specialist) and delivery modes (telemedicine vs. in-person) of a brief, behavioral activation (BA) treatment for perinatal depressive and anxiety symptoms. Specialists (psychologists, psychiatrists, and social workers with ≥ 5 years of therapy experience) and non-specialists (nurses and midwives with no formal training in mental health care) were trained in the BA protocol, with the latter supervised by a BA expert during treatment delivery. Consenting pregnant and postpartum women with Edinburgh Postnatal Depression Scale (EPDS) score of ≥ 10 (N = 1368) will be randomized to one of four arms (telemedicine specialist, telemedicine non-specialist, in-person specialist, in-person non-specialist), stratified by pregnancy status (antenatal/postnatal) and study site. The primary outcome is participant-reported depressive symptoms (EPDS) at 3 months post-randomization. Secondary outcomes are maternal symptoms of anxiety and trauma symptoms, perceived social support, activation levels and quality of life at 3-, 6-, and 12-month post-randomization, and depressive symptoms at 6- and 12-month post-randomization. Primary analyses are per-protocol and intent-to-treat. The study has successfully continued despite the COVID-19 pandemic, with needed adaptations, including temporary suspension of the in-person arms and ongoing randomization to telemedicine arms.

DISCUSSION

The SUMMIT trial is expected to generate evidence on the non-inferiority of BA delivered by a non-specialist provider compared to specialist and telemedicine compared to in-person. If confirmed, results could pave the way to a dramatic increase in access to treatment for perinatal depression and anxiety.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04153864 . Registered on November 6, 2019.

The efficacy of antidepressant medication and interpersonal psychotherapy for adult acute-phase depression: study protocol of a systematic review and meta-analysis of individual participant data

BACKGROUND

Antidepressant medication and interpersonal psychotherapy (IPT) are both recommended interventions in depression treatment guidelines based on literature reviews and meta-analyses. However, 'conventional' meta-analyses comparing their efficacy are limited by their reliance on reported study-level information and a narrow focus on depression outcome measures assessed at treatment completion. Individual participant data (IPD) meta-analysis, considered the gold standard in evidence synthesis, can improve the quality of the analyses when compared with conventional meta-analysis.

AIMS

We describe the protocol for a systematic review and IPD meta-analysis comparing the efficacy of antidepressants and IPT for adult acute-phase depression across a range of outcome measures, including depressive symptom severity as well as functioning and well-being, at both post-treatment and follow-up (PROSPERO: CRD42020219891).

METHOD

We will conduct a systematic literature search in PubMed, PsycINFO, Embase and the Cochrane Library to identify randomised clinical trials comparing antidepressants and IPT in the acute-phase treatment of adults with depression. We will invite the authors of these studies to share the participant-level data of their trials. One-stage IPD meta-analyses will be conducted using mixed-effects models to assess treatment effects at post-treatment and follow-up for all outcome measures that are assessed in at least two studies.

CONCLUSIONS

This will be the first IPD meta-analysis examining antidepressants versus IPT efficacy. This study has the potential to enhance our knowledge of depression treatment by comparing the short- and long-term effects of two widely used interventions across a range of outcome measures using state-of-the-art statistical techniques.

Adding cognitive therapy to antidepressant medications decreases suicidal ideation

BACKGROUND

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.

METHODS

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.

RESULTS

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.

LIMITATIONS

This is a secondary analysis of a randomized clinical trial designed to treat depression, in which suicidal ideation was assessed using single-item measures.

CONCLUSIONS

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.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT00057577.

Validation of the Health-Related Felt Stigma and Concealment Questionnaire

OBJECTIVE

Stigma is associated with many health conditions, including chronic pain. Research on health-related stigma is limited by the lack of validated instruments that distinguish among various stigma-related constructs. We aimed to develop and validate such a measure for pediatric functional abdominal pain (FAP). Felt stigma (FS) was defined as comprising both perceived and internalized stigma. Stigma concealment (SC) was defined as efforts by stigmatized individuals to prevent others from learning of their condition.

METHODS

Using a theory-driven approach, we adapted items from existing self-report measures of stigma to construct the health-related FS and Concealment Questionnaire (FSC-Q). Patients with FAP (N = 179, ages 11-17) completed the preliminary FSC-Q and health-related measures hypothesized to be associated with stigma. Cognitive interviewing and exploratory factor analysis (EFA) informed the final version of the measure.

RESULTS

EFA identified a 2-factor model comprised of FS and SC. The FS and SC scales exhibited good internal consistency and construct validity. Consistent with study hypotheses, both factors were significantly associated with anxiety, depression, pain catastrophizing, pain threat, physical symptoms, and pain interference/disability. Higher FS was associated with higher mental healthcare utilization. The subset of participants meeting criteria for irritable bowel syndrome (IBS) reported higher FS and SC compared with those without IBS.

CONCLUSION

The FSC-Q may help advance research on health-related stigma in FAP and other chronic health conditions by allowing for assessment of distinct stigma-related constructs.

Digital training for non-specialist health workers to deliver a brief psychological treatment for depression in India: Protocol for a three-arm randomized controlled trial

BACKGROUND

Training non-specialist health workers (NSHWs) at scale is a major barrier to increasing the coverage of depression care in India. This trial will test the effectiveness of two forms of digital training compared to conventional face-to-face training in changing the competence of NSHWs to deliver a brief evidence-based psychological treatment for depression.

METHODS

This protocol is for a three-arm, parallel group randomized controlled trial comparing three ways of training NSHWs to deliver the Healthy Activity Program (HAP), a brief manualized psychotherapy for depression, in primary care. The arms are: digital training (DGT); digital training combined with individualized coaching support (DGT+); and conventional face-to-face training (F2F). The target sample comprises N = 336 government contracted NSHWs in Madhya Pradesh, India. The primary outcome is change of competence to deliver HAP; secondary outcomes include cost-effectiveness of the training programs, change in participants' mental health knowledge, attitudes and behavior, and satisfaction with the training. Assessors blind to participant allocation status will collect outcomes pre- (baseline) and post- (endpoint) training to ascertain differences in outcomes between arms. Training program costs will be collected to calculate incremental costs of achieving one additional unit on the competency measure in the digital compared to face-to-face training programs. Health worker motivation, job satisfaction, and burnout will be collected as exploratory outcome variables.

DISCUSSION

This trial will determine whether digital training is an effective, cost-effective, and scalable approach for building workforce capacity to deliver a brief evidence-based psychological treatment for depression in primary care in a low-resource setting.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04157816.

Effects of an adolescent depression prevention program on maternal criticisms and positive remarks

This study examined effects of an adolescent depression prevention program on maternal criticisms and positive remarks, whether the extent of adolescents' depression accounted for effects, and whether effects of the program on maternal criticisms and positive remarks differed by adolescents' gender. Participants were 298 adolescent (M_age = 14.79, SD = 1.36; 59% female) offspring of mothers with histories of depression; youth were randomized to either a cognitive-behavioral prevention (CBP) program or usual care (UC). At baseline and 9-month postintervention evaluations, mothers were administered the Five-Minute Speech Sample to measure number of criticisms and positive remarks made during an open-ended description of their child and their relationship. Adolescents' depression from pre- through postintervention was assessed with interviews. A hierarchical generalized linear model showed a significant condition-by-gender interaction, indicating that, controlling for baseline criticism, at postintervention mothers of girls in CBP made significantly more criticisms than did mothers of girls in UC, whereas mothers of boys in CBP made fewer criticisms than did mothers of boys in UC. The extent of adolescents' depression from pre- through postintervention partially mediated the relation between intervention condition and mothers' criticisms, for boys but not for girls. Second, controlling for preintervention positive remarks, at postintervention, mothers of youth in CBP made significantly more positive remarks about their child than did mothers of youth in UC, regardless of gender; this relation was not mediated by adolescent depression from pre- through postintervention. We suggest possible explanations for the observed effects of CBP on mothers' criticisms and positive remarks. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Assessing health worker competence to deliver a brief psychological treatment for depression: development and validation of a scalable measure

Increased interest in disseminating and implementing psychological treatments has focused on the need for evidence-based training programs for providers, especially those without specialized training. To evaluate provider-training programs, validated outcome measures are necessary; however, the scalable measurement of training outcomes has been largely overlooked. Current methods of assessing providers' ability to deliver psychological treatments are generally time-consuming and costly, representing a major bottleneck in scaling up mental health care for commonly occurring disorders such as depression. The present study describes the development and initial validation of a scalable measure for assessing provider competence in delivering a brief behavioral activation treatment for depression, called the Healthy Activity Program, adapted for primary care settings. The measure focuses on testing knowledge about the treatment and applied knowledge regarding how to skillfully deliver the treatment, both essential features of competence. The measure was tested on a sample of 531 respondents with a variety of educational levels and professional backgrounds and found to meet the requirements of the Rasch model. Three versions of the measure each of equal difficulty were derived to allow repeat testing of training outcomes over time. A scalable measure of provider competence is an essential first step towards supporting the wider dissemination and implementation of brief psychological interventions for depression, especially in low-resource settings.

Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study

Regular assessment of the effectiveness of behavioral interventions is a potent tool for improving their relevance to patients. However, poor provider and patient adherence characterize most measurement-based care tools. Therefore, a new approach for measuring intervention effects and communicating them to providers in a seamless manner is warranted. This paper provides a brief overview of the available research evidence on novel ways to measure the effects of behavioral treatments, integrating both objective and subjective data. We highlight the importance of analyzing therapeutic conversations through natural language processing. We then suggest a conceptual framework for capitalizing on data captured through directly collected and nondisruptive methodologies to describe the client's characteristics and needs and inform clinical decision-making. We then apply this context in exploring a new tool to integrate the content of therapeutic conversations and patients' self-reports. We present a case study of how both subjective and objective measures of treatment effects were implemented in cognitive-behavioral treatment for depression and anxiety and then utilized in treatment planning, delivery, and termination. In this tool, called Eleos, the patient completes standardized measures of depression and anxiety. The content of the treatment sessions was evaluated using nondisruptive, independent measures of conversation content, fidelity to the treatment model, and the back-and-forth of client-therapist dialogue. Innovative applications of advances in digital health are needed to disseminate empirically supported interventions and measure them in a noncumbersome way. Eleos appears to be a feasible, sustainable, and effective way to assess behavioral health care.

Can loss of agency and oppositional perturbation associated with antidepressant monotherapy and low-fidelity psychological treatment dilute the benefits of guideline-consistent depression treatment at the population level?

Despite major expansions of evidence-based treatments of common mental disorders in recent decades, especially antidepressant medication, the point prevalence of depression has not decreased; instead it probably increased in young adults. We question whether antidepressants (AD)-monotherapy and low-fidelity-to-guideline psychological treatment (PT) might have no effect or even adverse effects in some patients and contexts that dilute the benefits of treatment at the population level, making it harder for population-based studies to detect treatment-driven prevalence reductions. Randomized Clinical Trial (RCT)s have not identified these effects because AD-monotherapy and low-fidelity PT are uncommon in RCTs where treatment protocols are specified and carefully monitored, unlike treatment in real-world settings. Second, RCTs may have missed the bigger picture of ultimate outcomes due to too short follow-ups. We elaborate two mechanisms through which AD-monotherapy and low-fidelity PT could produce adverse effects on long-term illness course. Both mechanisms are speculative and we outline how to test.

Coping strategies and stress among resettled Bhutanese adults in Massachusetts

Stress associated with attempts to integrate into a new culture is directly linked to mental health outcomes among refugees. However, there is a paucity of literature on how refugees cope to reduce their stress. This study assessed the association between coping strategies and perceived stress among resettled Bhutanese adults in Western Massachusetts. A cross-sectional survey was conducted among 225 Bhutanese (men: 113, women: 112) refugees aged 20-65 years residing in Massachusetts. Coping was measured with the 32-item Tobin Coping-Strategies Inventory-Short Form (CSI-SF). The 32-item CSI-SF includes 8 subscales: problem-solving, cognitive-structuring, express-emotions, social-contact, problem-avoidance, wishful thinking, self-criticism, and social-withdrawal, each with 4 items. Four composite constructs were created from subscales, namely, problem-focused engagement (problem solving + cognitive structuring), emotion-focused engagement (express emotions + social contact), problem-focused disengagement (problem avoidance + wishful thinking), and emotion-focused disengagement (self-criticism + social withdrawal). Perceived stress was measured with the 10-item Cohen Perceived Stress Scale. Associations of coping scores with perceived stress score (PSS) were assessed using multiple linear-regression analyses adjusting for sociodemographic, and lifestyle factors. The coping scores of 4 subscales were inversely associated with PSS including problem solving (β = -0.430, p ≤ .0001), cognitive structuring (β = -0.416, p = .0002), express emotions (β = -0.292, p = .004), and social contact (β = -0.448, p ≤ .0001). Two composite constructs of subscales, namely, problem-focused (β = -0.236, p ≤ .0001) and emotion-focused (β = -0.199, p = .0003) engagement coping strategies were inversely associated with PSS. Greater use of problem- or emotion-focused engagement coping strategies was associated with reduced PSS among Bhutanese, suggesting that problem-focused or emotion-focused stress management interventions hold promise for stress reduction among resettled Bhutanese. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The effects of once- versus twice-weekly sessions on psychotherapy outcomes in depressed patients

BACKGROUND

It is unclear what session frequency is most effective in cognitive-behavioural therapy (CBT) and interpersonal psychotherapy (IPT) for depression.

AIMS

Compare the effects of once weekly and twice weekly sessions of CBT and IPT for depression.

METHOD

We conducted a multicentre randomised trial from November 2014 through December 2017. We recruited 200 adults with depression across nine specialised mental health centres in the Netherlands. This study used a 2 × 2 factorial design, randomising patients to once or twice weekly sessions of CBT or IPT over 16-24 weeks, up to a maximum of 20 sessions. Main outcome measures were depression severity, measured with the Beck Depression Inventory-II at baseline, before session 1, and 2 weeks, 1, 2, 3, 4, 5 and 6 months after start of the intervention. Intention-to-treat analyses were conducted.

RESULTS

Compared with patients who received weekly sessions, patients who received twice weekly sessions showed a statistically significant decrease in depressive symptoms (estimated mean difference between weekly and twice weekly sessions at month 6: 3.85 points, difference in effect size d = 0.55), lower attrition rates (n = 16 compared with n = 32) and an increased rate of response (hazard ratio 1.48, 95% CI 1.00-2.18).

CONCLUSIONS

In clinical practice settings, delivery of twice weekly sessions of CBT and IPT for depression is a way to improve depression treatment outcomes.

Harnessing single-session interventions to improve adolescent mental health and well-being in India: Development, adaptation, and pilot testing of online single-session interventions in Indian secondary schools

BACKGROUND

Many evidence-based prevention and intervention approaches for youth mental health exist, but most are time-consuming and expensive to deliver. Innovative approaches are needed to develop and disseminate scalable mental health interventions, especially for youth in low- and middle-income countries. Computerized single-session interventions (SSIs) may be able to overcome many of these implementation barriers, especially if deployed in school settings.

METHODS

Guided by this logic, we designed three computerized SSIs (based on behavioral activation, gratitude, and growth mindset exercises) for delivery in Indian high schools. Then, we conducted focus groups with Indian adolescents and school officials to inform adaptations of the interventions. Finally, we designed a Hybrid Type 1 effectiveness-implementation study to evaluate the interventions.

RESULTS

In this paper, we present the rationale for selecting the interventions, the results of the focus groups, and the design of a Hybrid Type 1 effectiveness-implementation study. Our initial focus group data showed that the interventions were considered acceptable, feasible, and appropriate by both educators and students. We also describe feedback on the interventions which we incorporated to refine the interventions prior to our randomized controlled trial.

DISCUSSION

Computerized SSIs may offer innovative, scalable ways to disseminate evidence-based interventions. By identifying which interventions are most acceptable and effective in this highly scalable format, we may understand which SSIs are best suited for continued development, testing, and, ultimately, widespread dissemination.

Effects of psychological treatment of mental health problems in pregnant women to protect their offspring: randomised controlled trial

BACKGROUND

Perinatal depression and anxiety are associated with unfavourable child outcomes.

AIMS

To assess among women with antenatal depression or anxiety the effectiveness of prenatally initiated cognitive-behavioural therapy (CBT) on mother and child compared with care as usual (CAU). Trial registration: Netherlands Trial Register number NTR2242.

METHOD

Pregnant women (n = 282) who screened positive for symptoms of depression and/or anxiety were randomised to either CBT (n = 140) or CAU (n = 142). The primary outcome was child behavioural and emotional problems at age 18 months, assessed using the Child Behavior Checklist (CBCL). Secondary outcomes were maternal symptoms during and up to 18 months after pregnancy, neonatal outcomes, mother-infant bonding and child cognitive and motor development at age 18 months.

RESULTS

In total, 94 (67%) women in the CBT group and 98 (69%) in the CAU group completed the study. The mean CBCL Total Problems score was non-significantly higher in the CBT group than in the CAU group (mean difference: 1.38 (95% CI -1.82 to 4.57); t = 0.85, P = 0.399). No effects on secondary outcomes were observed except for depression and anxiety, which were higher in the CBT group than in the CAU group at mid-pregnancy. A post hoc analysis of the 98 women with anxiety disorders showed lower infant gestational age at delivery in the CBT than in the CAU group.

CONCLUSIONS

Prenatally initiated CBT did not improve maternal symptoms or child outcomes among non-help-seeking women with antenatal depression or anxiety. Our findings are not in line with present recommendations for universal screening and treatment for antenatal depression or anxiety, and future work may include the relevance of baseline help-seeking.

What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database

Background: Pre-treatment severity is a key indicator of prognosis for those with depression. Knowledge is limited on how best to encompass severity of disorders. A number of non-severity related factors such as social support and life events are also indicators of prognosis. It is not clear whether this holds true after adjusting for pre-treatment severity as a) a depressive symptom scale score, and b) a broader construct encompassing symptom severity and related indicators: "disorder severity". In order to investigate this, data from the individual participants of clinical trials which have measured a breadth of "disorder severity" related factors are needed. Aims: 1) To assess the association between outcomes for adults seeking treatment for depression and the severity of depression pre-treatment, considered both as i) depressive symptom severity only and ii) "disorder severity" which includes depressive symptom severity and comorbid anxiety, chronicity, history of depression, history of previous treatment, functional impairment and health-related quality of life. 2) To determine whether i) social support, ii) life events, iii) alcohol misuse, and iv) demographic factors (sex, age, ethnicity, marital status, employment status, level of educational attainment, and financial wellbeing) are prognostic indicators of outcomes, independent of baseline "disorder severity" and the type of treatment received. Methods: Databases were searched for randomised clinical trials (RCTs) that recruited adults seeking treatment for depression from their general practitioners and used the same diagnostic and screening instrument to measure severity at baseline - the Revised Clinical Interview Schedule; outcome measures could differ between studies. Chief investigators of all studies meeting inclusion criteria were contacted and individual patient data (IPD) were requested. Conclusions: In total 15 RCTs met inclusion criteria. The Dep-GP database will include the 6271 participants from the 13 studies that provided IPD. This protocol outlines how these data will be analysed. Registration: PROSPERO CRD42019129512 (01/04/2019).

Prevention of Recurrence After Recovery From a Major Depressive Episode With Antidepressant Medication Alone or in Combination With Cognitive Behavioral Therapy: Phase 2 of a 2-Phase Randomized Clinical Trial

IMPORTANCE

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.

OBJECTIVE

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.

DESIGN, SETTING, AND PARTICIPANTS

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.

INTERVENTIONS

Maintenance of or withdrawal from treatment with ADM.

MAIN OUTCOMES AND MEASURES

Recurrence of an MDD episode using longitudinal interval follow-up evaluations; sustained recovery across both phases.

RESULTS

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).

CONCLUSIONS AND RELEVANCE

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.

TRIAL REGISTRATION

ClinicalTrial.gov identifier: NCT00057577.