The process and delivery of CBT for depression in adults: a systematic review and network meta-analysis

The efficacy of antenatal Cognitive Behavioural Therapy for antenatal and postnatal depression: A PRISMA based systematic review and meta-analysis

BACKGROUND

Considerable research has assessed the effectiveness of Cognitive Behavioural Therapy (CBT) for perinatal depression, however limited attention has been paid to its effectiveness when delivered during pregnancy. The primary aim of this review was to review evidence of the efficacy of CBT interventions delivered antenatally to treat symptoms of depression in women during the antenatal and postnatal periods. The review's secondary aim was to evaluate potential moderators of treatment outcome.

METHODS

Electronic Databases; CINAHL, PsycINFO, Medline, Scopus, and Web of Science were searched for studies that employed CBT in response to symptoms of depression in pregnant women. Randomized control trials were included if they compared outcomes for pregnant women with outcomes of inactive controls. A systematic review and meta-analysis was conducted on n = 12 eligible studies.

RESULTS

CBT yielded statistically significant, within and between groups' effects on depressive symptoms during the antenatal period. CBT delivered at that time also yielded smaller yet statistically significant within and between groups' effects on depressive symptoms experienced postnatally. CBT was found to be more effective for women of greater age, higher number of weeks gestation, or who were multiparous. The facilitator of treatment, delivery mode, the assessment measures used to evaluate treatment outcome, and symptom severity also moderated treatment outcome.

LIMITATIONS

Significant publication bias and heterogeneity were evident across studies indicating a need to focus future research.

CONCLUSIONS

Overall, findings support the use of CBT delivered antenatally to reduce depression experienced during, and following, pregnancy.

Effectiveness of Cognitive Behavioral Therapy Provided Through a Web Application for Subthreshold Depression, Subthreshold Insomnia, and Subthreshold Panic: Open-Labeled 6-Arm Randomized Clinical Trial Pilot Study

BACKGROUND

A common definition of "subthreshold" is that the diagnostic threshold is not met but the individuals are not asymptomatic. Some symptoms are present, causing significant difficulty in functioning and negatively impacting quality of life. Despite the attention given to subthreshold symptoms and the interventions for subthreshold symptoms being efficient in preventing the transition to psychiatric disease in primary care, reports on specific interventions are insufficient.

OBJECTIVE

This study aimed to verify the effectiveness of internet-delivered cognitive behavioral therapy (ICBT) for subthreshold depression (SD), subthreshold insomnia (SI), and subthreshold panic (SP). Additionally, this study aimed to explore the minimally important change (MIC) of each subthreshold group's effectiveness outcome.

METHODS

Participants aged 18-70 years from internet research monitors were categorized into SD, SI, and SP groups based on screening assessment. They were randomly assigned to intervention or control groups within each subthreshold symptom. The intervention groups worked on 4 weeks of nonguided ICBT ("Mentre"), while the control groups worked on a sham app. The primary outcome was the score change from screening (T1) to 4-week follow-up (T4) using the Center for Epidemiologic Studies Depression Scale (CESD) in the SD group, the Pittsburgh Sleep Quality Index (PSQI) in the SI group, and the Panic and Agoraphobia Scale (PAS) in the SP group. Secondary outcomes were score changes in the Generalized Anxiety Disorder-7 (GAD-7) scale, the Patient Health Questionnaire 9 (PHQ-9), the CESD, the PSQI, and the PAS, except the primary outcome in each group. Secondary outcomes were analyzed using complete-case analysis and repeated-measures ANOVA. Additionally, the MIC in the primary endpoint for each group was also calculated as an exploratory outcome.

RESULTS

The SD, SP, and SI groups contained 846, 597, and 1106 participants, respectively. In the SD group, the difference in the CESD score change from baseline to follow-up between the intervention and control groups was significant (difference=0.52, 95% CI 1.29-4.66, P<.001). In the SI group, the difference in the PSQI score change was also significant (difference=0.53, 95% CI 0.11-0.94, P=.01). However, in the SP group, the difference in the PAS score change was not significant (difference=0.07, 95% CI -2.00 to 2.15, P=.94).

CONCLUSIONS

Our ICBT program Mentre contributes to the improvement of SI and SD. This suggests that nonguided ICBT may be effective in preventing SI and SD from progressing to the full threshold. However, appropriate definitions of subthreshold symptoms are necessary. In particular, it is difficult to define SP, and further research that considers the specific factors of each subthreshold symptom is necessary to accumulate evidence.

TRIAL REGISTRATION

University Hospital Medical Information Network (UMIN) UMIN000051280; https://tinyurl.com/2wyahhe3.

Seltorexant for major depressive disorder

INTRODUCTION

Preclinical and clinical pharmacologic evidence indicates that orexin systems are relevant to sleep-wake cycle regulation and dimensions of reward and cognition, providing the basis for hypothesizing that they may be effective as therapeutics in mental disorders. Due to the limited efficacy and tolerability profiles of existing treatments for Major Depressive Disorder (MDD), investigational compounds in novel treatment classes are needed; seltorexant, an orexin receptor antagonist, is a potential new treatment currently under investigation.

AREAS COVERED

Mechanisms implicated in MDD, including reward and sleep, are first overviewed. Then, the safety, tolerability, and efficacy profiles of seltorexant and the wider context of orexin receptor antagonism for depression are discussed in focus. Preclinical and clinical data are also discussed. PubMed, Medline, Cochrane Library, Embase, Scopus, and Web of Science were systematically searched from inception to 10 October 2024, in accordance with PRISMA guidelines.

EXPERT OPINION

Early clinical evidence suggests that seltorexant is effective in treating MDD, both in individuals diagnosed with insomnia and those not, although greater antidepressant effects are observed in individuals with severe sleep disturbance. Results from large phase III clinical trials are needed to confirm efficacy and safety.

Is early menarche related to depression? A meta-analysis

BACKGROUND

The evidence for an association between early menarche and depression is inconsistent. We therefore performed a meta-analysis to examine this association.

METHODS

The protocol for the current study was registered at the International Prospective Register of Systematic Reviews (PROSPERO) with registration number CRD42023483591. We searched several databases up to 17 June 2024. Random effects models were used to calculate pooled effect sizes.

RESULTS

A total of 22 studies involving 87,798 participants were included. The Newcastle-Ottawa Scale (NOS) scores of the 22 studies ranged from 4 to 8, with a median score of 6. Depression scores and depression incidence were significantly higher in the early menarche group than in the non-early menarche group (Standardized Mean Difference: 0.13, 95 % CI: 0.04, 0.21; OR: 1.37, 95 % CI: 1.23, 1.52). However, moderate heterogeneity was observed (depression scores: I2 = 54 %, p = 0.03; depression incidence: I2 = 61 %, p = 0.001). Subgroup analyses revealed that depression scores were significantly associated with study type (cohort studies: I2 = 57 %, p = 0.071; case-control studies: I2 = 61 %, p = 0.051) and study quality (≥ 6: I2 = 58 %, p = 0.065; < 6: I2 = 62 %, p = 0.052).

CONCLUSIONS

This meta-analysis revealed that early menarche was associated with depression. Parents, schools and health care providers should monitor the emotions of girls who experience menarche at an earlier age.

Process-based therapy vs. routine-CBT for difficult-to-treat mood and anxiety disorders: study protocol for a randomized controlled trial

BACKGROUND

Process-based therapy (PBT) is a new framework to intervention planning, based on the use of ecological momentary assessment (EMA) data and dynamic and idiographic network analyses. Support for its applicability has been reported from a single-case studies. Here, we examine the feasibility and effectiveness of PBT in a larger clinical sample. We have translated a training manual of PBT and modified for delivery of CBT in mental health service. The aim of this study is to test the relative efficacy of PBT compared to traditional CBT delivered in routine practice (r-CBT) for difficult-to-treat mood and anxiety disorders.

METHODS

The study is a randomized controlled trial (RCT) of PBT vs r-CBT for difficult-to-treat unipolar depression and anxiety disorders. In total, 80 patients are recruited at an outpatient clinic and included in two intervention arms. Primary outcome is emotional distress; secondary outcomes include psychological well-being and quality of life, adaptive behavior, psychological flexibility, and reflective functioning. Assessments of outcome variables are conducted before and after therapy and at 6 months follow-up. Weekly patient-rated outcomes are collected for every session to investigate process of change. Outcome assessors, blind to treatment allocation, will perform the observer-based symptom ratings, and adherence with manual will be monitored using self-report.

DISCUSSION

The current study will be the first RCT of PBT in a health care setting. The planned moderator and mediator analyses will clarify the mechanisms of change in psychotherapy and the association between personalized assessment based on dynamic network analysis and treatment effect.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06517589. Registered 24 July 2024.

The impact of acupuncture on the brain function of patients with mild to moderate major depressive disorder: a randomized controlled trial protocol

INTRODUCTION

Major depressive disorder (MDD) is a common mental disease that significantly impact the daily lives of those affected. Acupuncture has shown promising therapeutic effects in the treatment of MDD, but its underlying mechanisms remain unclear. This study aims to evaluate the influence of acupuncture on the brain function of patients with MDD and it's therapeutic effects on MDD.

METHODS

This study plans to recruit 112 participants, who will be randomly allocated to either the acupuncture group or the sham acupuncture group in a 1:1 ratio. Both groups will undergo 8 weeks of treatment, consisting of three sessions per week, with each session lasting for 30 min. A follow-up period of 3 months will be conducted after the treatment. Assessments will be conducted at weeks 0, 8, 12, 16, and 20 in this study. The primary outcome measure will be functional near-infrared spectroscopy (fNIRS) brain imaging, while secondary outcome measures will include Beck Depression Inventory II (BDI-II), Self-Rating Anxiety Scale (SAS), 36-Item Short Form Survey Instrument (SF-36), Traditional Chinese Medicine (TCM) syndrome score scale, and symptom elimination rate.

DISCUSSION

While acupuncture has been confirmed to have a certain degree of therapeutic efficacy in the treatment of MDD, research on the mechanisms underlying acupuncture's treatment of MDD remains limited, particularly with regards to its impact on the brain function of individuals with MDD. This study aims to explore both the clinical effectiveness and treatment mechanisms of acupuncture for MDD, with a specific focus on its influence on brain function. This research endeavors to provide new insights into the potential of acupuncture as a therapeutic approach for the treatment of MDD in the future.

TRIAL REGISTRATION

www.chictr.org.cn , ID: ChiCTR2300076292. Registered on 28 September 2023.

Cost-Effectiveness of Computer-Assisted Cognitive Behavioral Therapy for Depression Among Adults in Primary Care

Importance

Approximately 1 in 5 adults are diagnosed with depression in their lifetime. However, less than half receive help from a health professional, with the treatment gap being worse for individuals with socioeconomic disadvantage. Computer-assisted cognitive behavioral therapy (CCBT) is an effective and convenient strategy to treat depression; however, its cost-effectiveness in a sociodemographically diverse population remains unknown.

Objective

To evaluate the cost-effectiveness of clinician-supported CCBT compared with treatment as usual (TAU) in a primary care population with a substantial number of patients with low income, limited computer or internet access, and lack of college education.

Design, Setting, and Participants

This economic evaluation was a randomized clinical trial-based cost-effectiveness analysis. The trial was conducted at the Departments of Family and Geriatric Medicine and Internal Medicine at the University of Louisville. Enrollment occurred from June 24, 2016, to May 13, 2019. Participants had mild to moderate depression and were followed up for 6 months after treatment completion. The last follow-up assessment was conducted on January 30, 2020. Statistical analysis was performed from August 2023 to August 2024.

Exposure

CCBT intervention was provided for 12 weeks and included 9 modules ranging from behavioral activation and cognitive restructuring to relapse prevention strategies, supported by telephonic sessions with a clinician, in addition to TAU, which included standard clinical management in primary care.

Main Outcomes and Measures

The primary health outcome was quality-adjusted life years (QALYs), estimated using the Short-Form 12 questionnaire (SF-12). The secondary outcome was treatment response, defined as at least 50% improvement in the Patient Health Questionnaire. The intervention cost included sessions with mental health clinicians and the cost of the CCBT software, plus the cost of loaner computer and internet data plan for low-resource households. An incremental cost-effectiveness ratio (ICER) was computed, while adjusting for baseline scores, age, and sex. The cost-effectiveness acceptability curve presented the probability of CCBT being cost-effective for a range of willingness-to-pay values.

Results

Among the 175 primary care patients included in this study, 148 (84.5%) were female; 48 (27.4%) were African American, 2 (1.2%) were American Indian or Alaska Native, 4 (2.5%) were Hispanic, 106 (60.5%) were White, and 15 (8.6%) were multiracial; and the mean (SD) age was 47.03 (13.15) years. CCBT was associated with better quality of life and higher chance of treatment response at the posttreatment and 6-month time points, compared with the TAU group. The ICER for CCBT was $37 295 (95% CI, $22 724-$66 546) per QALY, with a probability of 89.4% of being cost-effective at a willingness-to-pay threshold of $50 000/QALY. The ICER per case of treatment response was $3623 (95% CI, $2617-$5377).

Conclusions and Relevance

In this trial-based economic evaluation, CCBT was found to be cost-effective, compared with TAU, in primary care patients with depression. As this study included individuals with low income and with limited internet access who are underrepresented in cost-effectiveness studies, it has important policy implications for addressing unmet needs in sociodemographically diverse populations.

Enhancing the effectiveness of CBT for patients with unipolar depression by integrating digital interventions into treatment: A pilot randomized controlled trial

OBJECTIVE

Blended cognitive behavioral therapy (bCBT) combines face-to-face therapy with digital elements, such as digital health apps. This pilot study aimed to explore the effectiveness and safety of a novel bCBT application for treating unipolar depression in adults combined with cognitive behavioral therapy (CBT) compared to CBT alone in routine care.

METHODS

Patients (N = 82) were randomly assigned to bCBT (n = 42) or CBT (n = 40) over 12 weeks. bCBT consisted of weekly CBT sessions accompanied by the elona therapy depression module (a bCBT application for unipolar depression) for use between sessions. Standard CBT consisted of weekly CBT sessions. Outcomes (6,12 weeks) were analyzed with linear mixed models.

RESULTS

Improvements in depressive symptoms (BDI-II, PHQ-9) were descriptively larger for the bCBT group. Yet, this difference did not reach statistical significance. bCBT was superior to standard CBT in secondary outcome measures of psychological health (d = .50) and generalized anxiety symptoms (d = -.45). In other secondary outcomes (BAI, PSWQ, GSE, WHOQOL-BREF), improvements were descriptively larger for bCBT compared to CBT.

CONCLUSION

This pilot study provided preliminary evidence that bCBT might be advantageous in comparison to CBT alone in the treatment of depression, but larger RCTs of the bCBT application are needed.

Readiness for treatment predicts depression outcomes in a partial hospital program

Evidence-based interventions vary in effectiveness for individuals with depression, which has a large public health burden. Readiness for change or treatment can be an important individual difference predictor of depression outcomes. To inform public service initiatives targeting readiness for treatment, characterizing readiness across settings and levels of care is key. However, limited data exist on the role of readiness for treatment in acute psychiatric settings and in particular, partial hospital programs which are key points in the continuity of inpatient and outpatient care. The present study assessed readiness for treatment in terms of importance, confidence, and motivation to engage in a partial hospital program and tested whether higher levels of readiness were associated with better treatment outcomes among clients with depression. Participants (N = 192) with major depressive disorder rated their readiness for treatment (Readiness Rulers), depression (Patient Health Questionnaire-9), and global improvement (Clinical Global Impression Scale-Improvement Self-Report) while enrolled in a partial hospital program. Generalized linear regression models assessed the effect of baseline readiness on outcomes at discharge, adjusted for baseline level of the outcome, age, sex, race, and ethnicity. Greater baseline readiness predicted reduced depression and better global improvement at discharge. Higher confidence and motivation to engage in treatment, but not importance, were associated with better depression outcomes. Identifying and addressing readiness for treatment by leveraging public health systems and services (e.g., help lines, family interventions) prior to or upon starting a partial hospital program may be useful to maximize gains in treatment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Do treatments for mental disorders affect relationship satisfaction? A systematic review and meta-analysis

Objective: Psychiatric disorders have been linked to poor social functioning, including deficits in relationship satisfaction. Treatments have shown strong effectiveness in reducing clinical symptoms for a range of disorders, though less is known of the effects disorder-focused treatments have on relationship satisfaction.

Methods: The present study describes a systematic review that was conducted to determine the efficacy of treatments for specific psychiatric disorders in improving relationship satisfaction. Surprisingly, only seventeen studies were identified and included in the review.

Results: We found that a majority of these studies reported modest improvement in relationship satisfaction among people who completed treatment. However, studies were severely hampered by methodological limitations, and all therapy-related improvements could be attributable to placebo effects or the passage of time.

Conclusion: Important gaps in the literature were found that future research should seek to address to maximize treatment outcomes and psychosocial functioning.

Effectiveness of Behavioral and Pharmacologic Interventions for Depressive Symptoms After Spinal Cord Injury: Findings From a Systematic Review

OBJECTIVE

To summarize and evaluate evidence regarding the efficacy of interventions for depressive symptoms in adults living with spinal cord injury (SCI) and comorbid major depressive disorder or significant depressive symptoms to inform the development of clinical practice guidelines.

DATA SOURCES

Articles published since 2013 and available in Medline, The Cochrane Library, Embase, Scopus, CINAHL, or PsycINFO. Databases were searched in June 2022 and updated November 2023.

STUDY SELECTION

Inclusion criteria: age 18 years or older, traumatic SCI, and clinically significant depression (Population), mental health interventions including behavioral, pharmacologic, and complementary and alternative medicine (Intervention), inclusion of a control group (Comparator), with a primary outcome of depression symptom reduction (Outcome). Criteria were applied by multiple reviewers and disagreements were reconciled via unanimous decision among the entire research team. Eight articles of 2780 screened met the selection criteria.

DATA EXTRACTION

Data were extracted independently by multiple reviewers. Two reviewers independently assigned a quality score using the guidelines described by Hawker and associates and independently evaluated the risk of bias of each article using version 2 of the Cochrane risk-of-bias tool.

DATA SYNTHESIS

All studies assessed depressive symptoms during participant recruitment, screening, and/or at a baseline assessment stage. Pharmacotherapy with venlafaxine XR and several behavioral interventions appear promising, including an online mindfulness course and eye movement desensitization and reprocessing therapy. Remote interventions may be effective in reaching individuals who are unable to travel to in-person therapy sessions.

CONCLUSIONS

This systematic review provides valuable information for clinicians who treat individuals with SCI and comorbid major depressive disorder or significant depressive symptoms. It highlights the importance of considering a variety of interventions and individualizing treatment to meet individuals' needs and preferences. Future research should aim to identify effective interventions for treating depressive symptoms in individuals with SCI and optimal delivery methods for these interventions.

Efficacy and safety of Chinese patent medicines combined with antidepressants for treatment of depression in adults: A multiple-treatment meta-analysis

BACKGROUND

Combinations of Chinese patent medicines (CPM) with antidepressants (including selective serotonin reuptake inhibitors (SSRI), selective serotonin-norepinephrine reuptake inhibitors (SNRI), tricyclic antidepressants (TCA), and noradrenergic and specific serotonergic antidepressants (NaSSA)) are frequently utilized for treating depression in adults. However, the efficacy and safety of these combination treatments remain to be established.

METHODS

Systematic search was conducted in seven electronic databases, regulatory websites and international registers of trials from 1994 to 2023 that included adult patients with depressive disorders who received CPM combined with antidepressants. The Multiple-Treatment Meta-Analysis (MTMA) was conducted using a random effects model with Stata/MP17 and R4.3.5 software. Primary outcomes were total efficacy rate, Hamilton Depression Scale (HAMD) score, and Treatment Emergency Symptom Scale (TESS) score. Secondary outcomes included brain-derived neurotrophic factor (BDNF) levels.

RESULTS

A total of 146 randomized controlled trials (13,754 participants: 6929 in intervention and 6825 in control groups) were included. For total effective rate, Multiple-Treatment Meta-Analysis results showed that the overall effect of combined intervention was better compared with antidepressants alone, where Jieyuanshenkeli (JYASKL) presented the optimal option for improving total efficacy (OR = 5.39, 95% CI [2.60, 11.18], SUCRA = 84.50%). In reduding the HAMD, Shuganjieyujiaonang (SGJYJN) was most likely to reduce the HAMD score (SMD = -2.20, 95% CI [-3.06, -1.33], SUCRA = 86.10%), Jieyuanshenkeli (JYASKL),Tianewangbuxindan (TWBXD), Shuyukeli (SYKL), Anshenbuxinwan (ASBXW) combination intervention did not appear to be statistically superior to antidepressants alone. In theTreatment Emergency Symptom Scale (TESS), Wulinjiaonang induced the most significant reduction in TESS score (SMD = -1.98, 95% CI [-3.59, -0.36], SUCRA = 90.40%). Tianmengjiaonang (TMJN) + Antidepressants(AD) (SUCRA = 88.30%) displayed the highest scores in increasing the levels of BDNF, although not statistically significant compared to Antidepressants(AD) alone (SMD = 1.23, 95% CI [0.90, 1.55]).

CONCLUSION

Combinations of CPM and antidepressants showed superior efficacy over antidepressants alone. The optimal combinations were determined as Shuganjieyu Jiaonang (SGJYJN)/SSRIs and Jieyuanshenkeli (JYASKL)/SSRIs. In terms of safety, results showed that combination therapy did not show better TESS efficacy than antidepressants alone.Although some of the combination interventions were not superior than antidepressants alone in reducing HAMD scores,our findings provide a potentially significant alternative option for clinical complementary therapy. However, these results require further validation through larger sample sizes, multicenter randomized controlled trials, and real-world data.

Factors Contributing to Educational Failure Among Secondary School Students in Erbil City

Background and aim Educational failure among secondary school students in Erbil City is influenced by a complex interplay of factors. This study is crucial as it aims to conduct an in-depth investigation into the various factors contributing to educational failure among secondary school students in Erbil City. Specifically, the study seeks to explore how students' attitudes toward school and learning influence their academic performance, including their levels of engagement, motivation, and perceptions of school. Additionally, it aims to examine the impact of teacher-related factors, such as teaching quality, classroom management, and teacher-student relationships, on students' academic success. Furthermore, the study will assess the role of school resources, including the availability of educational materials and facilities, and the influence of extracurricular activities on students' overall academic outcomes. Methods This cross-sectional study was conducted from March 15, 2023, to June 5, 2024, in nine secondary high schools in Erbil City. A total of 280 students participated in the study, using purposive sampling. The questionnaire comprised demographic information and a self-structured questionnaire with 30 items assessing attitude factors, school teacher factors, and school potential and extracurricular activity factors. Statistical analysis was performed using IBM SPSS Statistics for Windows, Version 28 (Released 2021; IBM Corp., Armonk, New York, United States), with frequency and percentage used for qualitative variables and mean and standard deviation for quantitative variables. Results A total of 280 students participated in the study. The overall mean scores were 1.57 ± 0.37 for school potential and extracurricular activity factors, 1.42 ± 0.43 for attitude factors, and 1.18 ± 0.35 for school teacher factors, indicating that school potential and extracurricular activity factors had the most significant impact on academic performance. Among these, support for students with special needs (262 (93.6%)), strict internal school rules (250 (89.3%)), and availability of career counseling services (239 (85.4%)) were reported as major factors. Attitude factors such as attending school being a pleasure (224 (80.0%)) and seeking assistance from teachers (217 (77.5%)) were significant, while school teacher factors had a lesser impact, with maintaining order in classrooms (252 (90.0%)) and marking absent students' names (262 (93.6%)) being reported as minor factors. Conclusions The study showed that school potential and extracurricular activities were the main causes of educational failure, followed by attitude factors. School teacher factors had the least impact. Policymakers and healthcare providers should prioritize targeted interventions to improve school infrastructure, support students with special needs, and enhance career counseling services. Furthermore, efforts should be made to promote positive attitudes toward school and learning and to bolster teacher support and training to better address educational challenges.

A Review of Transdiagnostic Mechanisms in Cognitive Behavior Therapy

Cognitive behavior therapies (CBTs) are the gold standard treatment for many psychiatric conditions. However, relatively little is known about how CBTs work. By characterizing these mechanisms, researchers can ensure CBTs retain their potency across diagnoses and delivery contexts. We review 3 classes of putative mechanisms: CBT-specific skills (eg, cognitive restructuring, behavioral activation), transtheoretical mechanisms (eg, therapeutic alliance, treatment expectancies, self-efficacy beliefs), and psychopathological mechanisms (aversive reactivity, positive affect, attachment style). We point to future research within each class and emphasize the need for more intensive longitudinal designs to capture how each class of mechanisms interacts with the others to improve outcomes.

Association between perceived value of adopting new behaviors and incident disability among Japanese community-dwelling older adults

OBJECTIVES

This longitudinal observational cohort study aimed to clarify the relationship between perceived value (PV) to adopt new behaviors and incident disability in community-dwelling older adults.

METHOD

Participants were 5073 community-dwelling older adults aged ≥65 years in Japan (Mage = 74.0 ± 5.6 years; female = 55.1%). The mean follow-up time was 34.5 months. Baseline data were collected during health checkups in a prospective cohort study. Measurements included engagement in physical activity (PA), cognitive activity (CA), and social activity (SA), PV, health and physical conditions, and demographic characteristics. PV was assessed by asking whether participants thought it was valuable to adopt new behaviors related to PA, CA, and SA. Participants were classified as having higher/lower PV, PA, CA, and SA. Cox proportional hazard models were used to analyze the association between PV and incident disability. PV was examined both as an independent variable and in combination as follows: higher PV and higher PA/CA/SA (high/high); lower PV and higher PA/CA/SA (low/high); higher PV and lower PA/CA/SA (high/low); and lower PV and lower PA/CA/SA (low/low).

RESULTS

Higher PV was significantly associated with a lower hazard ratio (HR) for incident disability. The low/high, high/low, and low/low significantly increased the HR compared to high/high in the analyses of PV & PA and CA. The analysis of PV & SA showed that only low/low increased the HR compared to high/high.

CONCLUSION

Having both higher PV and higher activity engagement may contribute to preventing disability development. Both support for activities and value education in older adults may be needed.

Efficacy of systemic therapy on adults with depressive disorders: A meta-analysis

OBJECTIVE

This meta-analysis evaluates the efficacy of systemic therapy approaches on adult clients with depressive disorders.

METHODS

The illness-specific systematic review updates a previous meta-analysis on the efficacy of systemic therapy on psychiatric disorders in adulthood. It integrates the results of 30 randomized controlled trials (RCTs) comparing systemic psychotherapy for depression with an untreated control group or alternative treatments. Studies were identified through systematic searches in relevant electronic databases and cross-referencing. A random-effects model calculated weighted mean effect sizes for each type of comparison (alternative treatments, control group with no alternative treatment/waiting list) on two outcomes (depressive symptoms change, drop-out rates).

RESULTS

On average, systemic interventions show larger improvements in depressive symptoms compared to no-treatment controls at post-test (g = 1.09) and follow-up (g = 1.23). Changes do not significantly differ when comparing systemic interventions with alternative treatments (post-test g = 0.25; follow-up g = 0.09). Results also vary, in part, by participant age, publication year, and active control condition.

CONCLUSION

This meta-analysis indicates the potential benefits of systemic interventions for adult patients with depression. Future randomized clinical trials in this area should enhance study quality and include relational and other relevant outcome measures.

Relationships among anxiety, depression, and health-related quality of life in adult epilepsy: A network analysis

OBJECTIVE

Comorbid depression and anxiety in patients with epilepsy (PWE) are common and frequently under-treated, thus, causing poor health-related quality of life (HRQoL). However, little is known regarding the interconnections between anxious/depressive symptoms and the dimensions of HRQoL. Therefore, we conducted a network analysis to explore these relationships in detail among Chinese adult PWE.

METHODS

A cohort of adult PWE was consecutively recruited from the First Affiliated Hospital of Chongqing Medical University. HRQoL, depression, and anxiety were measured with Quality of Life in Epilepsy Inventory-31, Neurological Disorders Depression Inventory for Epilepsy, and Generalized Anxiety Disorder 7-Item Scale, respectively. A regularized partial correlation network was constructed to investigate the interconnections between symptoms of anxiety/depression and the dimensions of HRQoL. We calculated expected influence (EI) and bridge expected influence (BEI) values to identify the most influential nodes.

RESULTS

A total of 396 PWE were enrolled in this study, 78.1% of whom had focal onset epilepsy. The prevalence of anxiety and depression was 30.3% and 28.8%, respectively. The symptoms "frustrated" and "uncontrollable worry" had the highest EI values, whereas "emotional well-being", "seizure worry", "difficulty finding pleasure", and "nervousness or anxiety" had the highest BEI values.

CONCLUSION

This study provides new insights into the relationships among anxiety, depression, and HRQoL. Critical central symptoms and bridge symptoms identified in the network might help to quickly identify PWE comorbid anxiety and depression in busy outpatient settings, thereby enabling early intervention and enhancing quality of life.

Psychotherapies in opioid use disorder: toward a step-care model

Opioid use disorder (OUD) is characterized by a lack of control in opioid use, resulting in psychological distress and deficits in interpersonal and social functioning. OUD is often associated with psychiatric comorbidities that increase the severity of the disorder. The consequences of OUD are dramatic in terms of increased morbi-mortality. Specific medications and psychotherapies are essential tools not only in the treatment of OUD but also in the prevention of suicide and overdoses. In our review, we assess the different types of psychotherapies (counseling, motivational interviewing, contingency management, cognitive-behavioral therapy, and dialectical-behavior therapy) that are delivered to opioid users, either associated or un-associated with OUD medications and/or medications for psychiatric disabilities. We describe the application of these therapies first to adult opioid users and then to adolescents. This work led us to propose a stepped-care model of psychotherapies for OUD which provided information to assist clinicians in decision-making regarding the selection of psychotherapeutic strategies according to patients' OUD severity.

Effectiveness of group cognitive behavioral therapy for depression in adults: a systematic review and meta-analysis of delivery by different healthcare professionals

This study addresses the gap in understanding the varied effectiveness of group cognitive behavioral therapy (gCBT) delivered by different professionals. This study aims to address this gap by conducting a systematic review of randomized controlled trials (RCTs) that evaluate gCBT and compare it to inactive controls in adults with a clinical diagnosis of depression. A total of 33 RCTs were included for analysis. In the overall analysis, 'profession of gCBT deliverer' was not a significant moderator in the meta-regression model (p = 0.57). For people without comorbidity, the overall effect size estimate was -0.69 (95% CI, -1.01. to -0.37, p = 0.03). Among gCBT deliverers, psychologists and nurses/psychiatric nurses demonstrated significant effectiveness, with psychologists showing a large effect size of -0.78 (95% CI, -1.25 to -0.30, p < 0.01) and nurses/psychiatric nurses showing a medium effect size of -0.45 (95% CI, -0.85 to -0.05, p = 0.03). The certainty of evidence for both professionals was moderate. These results have significant implications for the delivery of mental healthcare, as nurses/psychiatric nurses may be more accessible and cost-effective than psychologists in some settings. However, further research is necessary to determine the effectiveness of gCBT delivered by a broader range of healthcare professionals for patients with depression and other comorbidities.

Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone App-Led Cognitive Behavioral Therapy for Depression Under Therapist Supervision: Open Trial

BACKGROUND

Major depressive disorder affects approximately 1 in 5 adults during their lifetime and is the leading cause of disability worldwide. Yet, a minority receive adequate treatment due to person-level (eg, geographical distance to providers) and systems-level (eg, shortage of trained providers) barriers. Digital tools could improve this treatment gap by reducing the time and frequency of therapy sessions needed for effective treatment through the provision of flexible, automated support.

OBJECTIVE

This study aimed to examine the feasibility, acceptability, and preliminary clinical effect of Mindset for Depression, a deployment-ready 8-week smartphone-based cognitive behavioral therapy (CBT) supported by brief teletherapy appointments with a therapist.

METHODS

This 8-week, single-arm open trial tested the Mindset for Depression app when combined with 8 brief (16-25 minutes) video conferencing visits with a licensed doctoral-level CBT therapist (n=28 participants). The app offers flexible, accessible psychoeducation, CBT skills practice, and support to patients as well as clinician guidance to promote sustained engagement, monitor safety, and tailor treatment to individual patient needs. To increase accessibility and thus generalizability, all study procedures were conducted remotely. Feasibility and acceptability were assessed via attrition, patient expectations and feedback, and treatment utilization. The primary clinical outcome measure was the clinician-rated Hamilton Depression Rating Scale, administered at pretreatment, midpoint, and posttreatment. Secondary measures of functional impairment and quality of life as well as maintenance of gains (3-month follow-up) were also collected.

RESULTS

Treatment credibility (week 4), expectancy (week 4), and satisfaction (week 8) were moderate to high, and attrition was low (n=2, 7%). Participants self-reported using the app or practicing (either on or off the app) the CBT skills taught in the app for a median of 50 (IQR 30-60; week 4) or 60 (IQR 30-90; week 8) minutes per week; participants accessed the app on an average 36.8 (SD 10.0) days and completed a median of 7 of 8 (IQR 6-8) steps by the week 8 assessment. The app was rated positively across domains of engagement, functionality, aesthetics, and information. Participants' depression severity scores decreased from an average Hamilton Depression Rating Scale score indicating moderate depression (mean 19.1, SD 5.0) at baseline to a week 8 mean score indicating mild depression (mean 10.8, SD 6.1; d=1.47; P<.001). Improvement was also observed for functional impairment and quality of life. Gains were maintained at 3-month follow-up.

CONCLUSIONS

The results show that Mindset for Depression is a feasible and acceptable treatment option for individuals with major depressive disorder. This smartphone-led treatment holds promise to be an efficacious, scalable, and cost-effective treatment option. The next steps include testing Mindset for Depression in a fully powered randomized controlled trial and real-world clinical settings.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05386329; https://clinicaltrials.gov/study/NCT05386329?term=NCT05386329.

A comparison of the effectiveness of cognitive behavioural interventions based on delivery features for elevated symptoms of depression in adolescents: A systematic review

Background

Depression is a public health problem and common amongst adolescents. Cognitive behavioural therapy (CBT) is widely used to treat adolescent depression but existing research does not provide clear conclusions regarding the relative effectiveness of different delivery modalities.

Objectives

The primary aim is to estimate the relative efficacy of different modes of CBT delivery compared with each other and control conditions for reducing depressive symptoms in adolescents. The secondary aim is to compare the different modes of delivery with regard to intervention completion/attrition (a proxy for intervention acceptability).

Search Methods

The Cochrane Depression, Anxiety and Neurosis Clinical Trials Register was searched in April 2020. MEDLINE, PsycInfo, EMBASE, four other electronic databases, the CENTRAL trial registry, Google Scholar and Google were searched in November 2020, together with reference checking, citation searching and hand-searching of two databases.

Selection Criteria

Randomised controlled trials (RCTs) of CBT interventions (irrespective of delivery mode) to reduce symptoms of depression in young people aged 10-19 years with clinically relevant symptoms or diagnosis of depression were included.

Data Collection and Analysis

Screening and data extraction were completed by two authors independently, with discrepancies addressed by a third author. CBT interventions were categorised as follows: group CBT, individual CBT, remote CBT, guided self-help, and unguided self-help. Effect on depressive symptom score was estimated across validated self-report measures using Hedges' g standardised mean difference. Acceptability was estimated based on loss to follow-up as an odds ratio. Treatment rankings were developed using the surface under the cumulative ranking curve (SUCRA). Pairwise meta-analyses were conducted using random effects models where there were two or more head-to-head trials. Network analyses were conducted using random effects models.

Main Results

Sixty-eight studies were included in the review. The mean age of participants ranged from 10 to 19.5 years, and on average 60% of participants were female. The majority of studies were conducted in schools (28) or universities (6); other settings included primary care, clinical settings and the home. The number of CBT sessions ranged from 1 to 16, the frequency of delivery from once every 2 weeks to twice a week and the duration of each session from 20 min to 2 h. The risk of bias was low across all domains for 23 studies, 24 studies had some concerns and the remaining 21 were assessed to be at high risk of bias. Sixty-two RCTs (representing 6435 participants) were included in the pairwise and network meta-analyses for post-intervention depressive symptom score at post-intervention. All pre-specified treatment and control categories were represented by at least one RCT. Although most CBT approaches, except remote CBT, demonstrated superiority over no intervention, no approaches performed clearly better than or equivalent to another. The highest and lowest ranking interventions were guided self-help (SUCRA 83%) and unguided self-help (SUCRA 51%), respectively (very low certainty in treatment ranking). Nineteen RCTs (3260 participants) were included in the pairwise and network meta-analyses for 6 to 12 month follow-up depressive symptom score. Neither guided self-help nor remote CBT were evaluated in the RCTs for this time point. Effects were generally attenuated for 6- to 12-month outcomes compared to posttest. No interventions demonstrated superiority to no intervention, although unguided self-help and group CBT both demonstrated superiority compared to TAU. No CBT approach demonstrated clear superiority over another. The highest and lowest ranking approaches were unguided self-help and individual CBT, respectively. Sixty-two RCTs (7347 participants) were included in the pairwise and network meta-analyses for intervention acceptability. All pre-specified treatment and control categories were represented by at least one RCT. Although point estimates tended to favour no intervention, no active treatments were clearly inferior. No CBT approach demonstrated clear superiority over another. The highest and lowest ranking active interventions were individual CBT and group CBT respectively. Pairwise meta-analytic findings were similar to those of the network meta-analysis for all analyses. There may be age-based subgroup effects on post-intervention depressive symptoms. Using the no intervention control group as the reference, the magnitudes of effects appear to be larger for the oldest age categories compared to the other subgroups for each given comparison. However, they were generally less precise and formal testing only indicated a significant difference for group CBT. Findings were robust to pre-specified sensitivity analyses separating out the type of placebo and excluding cluster-RCTs, as well as an additional analysis excluding studies where we had imputed standard deviations.

Authors' Conclusions

At posttreatment, all active treatments (group CBT, individual CBT, guided self-help, and unguided self-help) except for remote CBT were more effective than no treatment. Guided self-help was the most highly ranked intervention but only evaluated in trials with the oldest adolescents (16-19 years). Moreover, the studies of guided self-help vary in the type and amount of therapist support provided and longer-term results are needed to determine whether effects persist. The magnitude of effects was generally attenuated for 6- to 12-month outcomes. Although unguided self-help was the lowest-ranked active intervention at post-intervention, it was the highest ranked at follow-up. This suggests the need for further research into whether interventions with self-directed elements enable young people to maintain effects by continuing or revisiting the intervention independently, and whether therapist support would improve long-term outcomes. There was no clear evidence that any active treatments were more acceptable to participants than any others. The relative effectiveness of intervention delivery modes must be taken into account in the context of the needs and preferences of individual young people, particularly as the differences between effect sizes were relatively small. Further research into the type and amount of therapist support that is most acceptable to young people and most cost-effective would be particularly useful.

Evidence-Based Nonpharmacological Symptom Management of Palliative Care in Advanced and Metastatic Cancer Patients: A Systematic Review

The aim of this systematic review is to provide reliable, high-quality data with an evidence-based, up-to-date overview of the use of nonpharmacologic interventions in the management of symptoms in advanced cancer patients with metastatic disease. A comprehensive literature search was performed by searching PubMed, EBSCO, Cochrane, and Google Scholar databases. "Nonpharmacologic," "palliative care," and "cancer" were the three main terms combined with the main symptoms of cancer palliative care such as "pain," "fatigue," "nausea and vomiting," "psychosocial distress," "loss of appetite," "dyspnea," "constipation," and "drowsiness," and each symptom was searched separately. Thirteen studies were included in this systematic review with a total of 1975 participants. Three of the studies examined "fatigue," three examined "quality of life," one examined "sleep," three examined "dyspnea," two examined "depression," and one examined "pain." To manage these symptoms, three of the studies included in the systematic review used "patient education," three of the studies used "exercise," three of the studies used "fan therapy," and the remaining studies used "reflexology," "cognitive behavioral therapy," and "occupational therapy." Number of studies done regarding the advanced and metastatic cancer patients and their symptom management through nonpharmacological methods are low, which makes it difficult to draw decisive conclusions.

Association between the perceived value of adopting new behaviors and depressive symptoms among older adults

Early preventive measures against depression have become important with unprecedented global aging. Increase in one's perceived value (PV) may correspond to better mental health outcomes. This cross-sectional observation study aimed to clarify whether the PV of adopting new behaviors is associated with depressive symptoms. The participants were 5266 community-dwelling older adults aged ≥ 65 years. We developed a questionnaire to measure the PV of adopting new behaviors, specifically activities beneficial for preventing depressive symptoms (physical, cognitive, and social activities) in older adults. The questionnaire asked whether adopting the ten selected behaviors was valuable. The scores were added, and the total score ranged from - 20 to 20. The odds ratios (OR) of depressive symptoms were calculated using binomial logistic regression according to the PV score quartiles. Depressive symptoms were reported by 595 (11.3%) participants. After adjusting for potential confounders, higher quartiles of PV scores were significantly associated with lower prevalence of depressive symptoms: vs Q1; Q2 OR 0.76 (95% confidence interval: 0.59-0.97); Q3 0.67 (0.51-0.87); Q4 0.54 (0.40-0.73) (P for trend < .001). Having a higher PV of adopting new behaviors may prevent depressive symptoms among older adults. Healthcare professionals need to pay attention to poor value orientation among older adults.

Evidence Synthesis for Complex Interventions Using Meta-Regression Models

A goal of evidence synthesis for trials of complex interventions is to inform the design or implementation of novel versions of complex interventions by predicting expected outcomes with each intervention version. Conventional aggregate data meta-analyses of studies comparing complex interventions have limited ability to provide such information. We argue that evidence synthesis for trials of complex interventions should forgo aspirations of estimating causal effects and instead model the response surface of study results to 1) summarize the available evidence and 2) predict the average outcomes of future studies or in new settings. We illustrate this modeling approach using data from a systematic review of diabetes quality improvement (QI) interventions involving at least 1 of 12 QI strategy components. We specify a series of meta-regression models to assess the association of specific components with the posttreatment outcome mean and compare the results to conventional meta-analysis approaches. Compared with conventional approaches, modeling the response surface of study results can better reflect the associations between intervention components and study characteristics with the posttreatment outcome mean. Modeling study results using a response surface approach offers a useful and feasible goal for evidence synthesis of complex interventions that rely on aggregate data.

Comparative Effectiveness of Cognitive Behavioral Therapy and Behavioral Therapy in Obesity: A Systematic Review and Network Meta-Analysis

We aimed to evaluate the effects of obesity treatment with behavioral therapy (BT) and cognitive behavioral therapy (CBT) interventions compared with multiple comparators and find effective techniques or combinations of techniques in BT and CBT interventions for weight loss. We systematically searched electronic databases and selected randomized controlled trials using CBT or BT intervention for obesity treatment in overweight adults or adults with obesity without psychological symptoms. Both pairwise meta-analysis and network meta-analysis were performed to comprehensively evaluate the comparative effects between interventions. We classified the techniques used in BT and CBT interventions and compared the treatment effects between techniques. Compared with no treatment as a common comparator, CBT was most effective for weight loss, followed by BT, usual care (UC), and minimal care (MC). CBT was a more effective intervention than BT, but the effect of CBT compared to BT was not remarkable in network estimates. The most used BT techniques were feedback and monitoring, and the most used CBT technique was cognitive restructuring. Our results indicated that CBT and BT are effective interventions for weight loss, and that successful weight loss requires more aggressive interventions such as BT or CBT than MC and UC.

Availability of Internet-Based Cognitive-Behavioral Therapies for Depression: A Systematic Review

We examined the availability and components of internet-based cognitive-behavioral therapies (iCBTs) for depression tested in randomized-controlled trials (RCTs). The objectives of this literature review were to determine the extent to which research-validated iCBTs were available to the public, as well as to determine their therapeutic content. A literature review of RCTs for iCBTs was conducted on July 30, 2021. For each iCBT, interventions were rated by content and compared to commercially available smartphone apps. Our search yielded 80 studies using 41 unique iCBTs. Of these, only 6 (15%) were completely available to the public, more than half were not publicly available (46%), and the remaining 39% were available to the public with some restrictions (e.g., those based on the user's geographical location). When comparing iCBTs evaluated in RCTs to commercially available smartphone apps, we found that iCBTs were more likely to contain psychoeducation, cognitive restructuring, behavioral activation, problem solving, and interpersonal communication components. iCBTs from RCTs contain evidence-based content but few are available to the public. Extending beyond efficacy, attention should be paid to the dissemination of iCBTs.

A systematic review of cognitive behavioral therapy-based interventions for comorbid chronic pain and clinically relevant psychological distress

Objective

Chronic pain frequently co-occurs with clinically relevant psychological distress. A systematic review was conducted to identify the efficacy of cognitive behavioral therapy-based interventions for patients with these comorbid conditions.

Methods

The systematic search was carried out in Medline, PsycINFO, Web of Science, and Scopus up to March 18th, 2023. Four reviewers independently conducted screenings, extraction, and quality assessment.

Results

Twelve randomized controlled trials and one non-randomized controlled trial involving 1,661 participants that examined the efficacy of Cognitive Behavioral Therapy (nine studies), Mindfulness-based Interventions (three studies), Acceptance and Commitment Therapy (one study), and Behavioral Activation Therapy for Depression (one study) were included. Compared to treatment as usual, six out of eight studies of traditional Cognitive Behavioral Therapy reported significant differences in the reduction of depressive symptoms at post-treatment (d from 1.31 to 0.18) and four out of six at follow-up (d from 0.75 to 0.26); similarly, five out of six reported significant differences in the reduction of anxiety symptoms at post-treatment (d from 1.08 to 0.19) and three out of four at follow-up (d from 1.07 to 0.27). Overall, no significant differences between traditional Cognitive Behavioral Therapy and treatment as usual were reported at post-treatment and follow-up in the studies exploring pain intensity and pain catastrophizing.

Conclusion

The available evidence suggests that traditional Cognitive Behavioral Therapy may produce significant benefits for the improvement of depression, anxiety, and quality of life, but not for pain intensity and pain catastrophizing. More evidence is needed to determine the effects of MBI, ACT, and BATD.

Systematic review registration

PROSPERO, CRD42021219921.

Cognitive reappraisal in mHealth interventions to foster mental health in adults: a systematic review and meta-analysis

Background

An increasing number of mHealth interventions aim to contribute to mental healthcare of which interventions that foster cognitive reappraisal may be particularly effective.

Objectives

To evaluate the efficacy of mHealth interventions enhancing cognitive reappraisal to improve mental health in adult populations.

Methods

The literature search (four databases) yielded 30 eligible randomized controlled trials (comprising 3,904 participants). We performed a multi-level meta-analysis to examine differences between intervention and comparator conditions at post-intervention assessment. Moderator analyses were conducted for potential moderator variables (e.g., type of comparators).

Results

Most interventions were CBT-based with other training components in addition to cognitive reappraisal. We found preliminary evidence for a small to medium effect favouring mHealth interventions to enhance cognitive reappraisal over comparators, M(SMD) = 0.34, p = .002. When analysing single symptoms, there was evidence for a small to medium effect of mHealth interventions on anxiety and depressive symptoms, but not for psychological distress and well-being. All analyses showed substantial heterogeneity. Moderator analyses revealed evidence for more favourable effects in studies with passive comparators. There was an overall high risk of bias in most of the studies.

Conclusions

We found preliminary evidence for a small to medium effect of mHealth interventions including a cognitive reappraisal component to improve mental health. However, most of the interventions were complex (i.e., reappraisal was provided alongside other components), which prevents us from examining reappraisal-specific effects beyond general mental health promotion in mHealth. Dismantling studies examining the effects of single intervention components are warranted to corroborate these promising results.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=142149, identifier [CRD42019142149].

Early parenting interventions to prevent internalising problems in children and adolescents: a global systematic review and network meta-analysis

QUESTION

We compared the effectiveness of different types of parenting interventions based on an a priori taxonomy, and the impact of waitlists versus treatment as usual (TAU), in reducing child internalising problems.

STUDY SELECTION AND ANALYSIS

We conducted a systematic review and network meta-analysis of published and unpublished randomised controlled trials (RCTs) until 1 October 2022 that investigated parenting interventions with children younger than 4 years.

EXCLUSION CRITERIA

studies with children born preterm, with intellectual disabilities, or families receiving support for current abuse, neglect, and substance misuse. We assessed the certainty of evidence using the Confidence in Network Meta-Analysis framework. We used random-effects network meta-analysis to estimate standardised mean differences (SMDs) with 95% credible intervals (CrIs).

FINDINGS

Of 20 520 citations identified, 59 RCTs (18 349 participants) were eligible for the network meta-analysis. Parenting interventions focusing on the dyadic relationship (SMD: -0.26, 95% CrI: -0.43 to -0.08) and those with mixed focus (-0.09, -0.17 to -0.02) were more effective in reducing internalising problems than TAU at the first time point available. All interventions were more effective than waitlist, which increased the risk of internalising problems compared with TAU (0.36, 0.19 to 0.52). All effects attenuated at later follow-ups. Most studies were rated as with 'high risk' or 'some concerns' using the Risk of Bias Assessment Tool V.2. There was no strong evidence of effect modification by theoretically informed components or modifiers.

CONCLUSIONS

We found preliminary evidence that relationship-focused and mixed parenting interventions were effective in reducing child internalising problems, and the waitlist comparator increased internalising problems with implications for waiting times between referral and support. Considering the high risk of bias of most studies included, the findings from this meta-analysis should be interpreted with caution. PROSPERO registration number CRD42020172251.

Do Unified Protocol modules exert general or unique effects on anxiety, depression, and transdiagnostic targets?

Several transdiagnostic cognitive-behavior therapies include multiple treatment components. However, it is unclear whether some components are more efficacious than others at reducing symptoms or whether these components uniquely influence their putative mechanism of change. Participants (N = 70; Mage = 33.7; 67.1% female, 74.3% White) with a primary anxiety or depressive disorder were randomized to one of three standard or personalized sequences of core Unified Protocol modules. Using hierarchical linear modeling, we tested (a) whether the average session-to-session change in anxiety and depression differed between modules and (b) whether the average session-to-session change in the putative mechanism of each module differed between modules. All modules led to similar changes in anxiety, but Confronting Physical Sensations led to significantly less change in depression than other modules. There were no significant differences among modules predicting putative mechanisms of change, although there was a trend for Mindful Emotion Awareness to predict greater improvements in mindfulness than Understanding Emotions. Consistent with its transdiagnostic nature, UP modules may exert similar effects on anxiety and putative mechanisms of change, although interoceptive exposures may be less impactful for changing depressive symptoms and the mindfulness module may promote relatively specific improvements in mindfulness.

Online transdiagnostic intervention for emotional, trauma- and stressor-related disorders in the Mexican population: A randomized pilot and feasibility trial

•Mexican individuals received via telehealth the unified protocol for anxiety, depression, and trauma related disorders.•Online unified protocol reduced depression, anxiety, emotional issues, uncertainty intolerance, and psychological distress.•The transdiagnostic unified protocol is well-suited to train therapists for emotional, trauma, and stressor-related disorders.

Data visualisation approaches for component network meta-analysis: visualising the data structure

BACKGROUND

Health and social care interventions are often complex and can be decomposed into multiple components. Multicomponent interventions are often evaluated in randomised controlled trials. Across trials, interventions often have components in common which are given alongside other components which differ across trials. Multicomponent interventions can be synthesised using component NMA (CNMA). CNMA is limited by the structure of the available evidence, but it is not always straightforward to visualise such complex evidence networks. The aim of this paper is to develop tools to visualise the structure of complex evidence networks to support CNMA.

METHODS

We performed a citation review of two key CNMA methods papers to identify existing published CNMA analyses and reviewed how they graphically represent intervention complexity and comparisons across trials. Building on identified shortcomings of existing visualisation approaches, we propose three approaches to standardise visualising the data structure and/or availability of data: CNMA-UpSet plot, CNMA heat map, CNMA-circle plot. We use a motivating example to illustrate these plots.

RESULTS

We identified 34 articles reporting CNMAs. A network diagram was the most common plot type used to visualise the data structure for CNMA (26/34 papers), but was unable to express the complex data structures and large number of components and potential combinations of components associated with CNMA. Therefore, we focused visualisation development around representing the data structure of a CNMA more completely. The CNMA-UpSet plot presents arm-level data and is suitable for networks with large numbers of components or combinations of components. Heat maps can be utilised to inform decisions about which pairwise interactions to consider for inclusion in a CNMA model. The CNMA-circle plot visualises the combinations of components which differ between trial arms and offers flexibility in presenting additional information such as the number of patients experiencing the outcome of interest in each arm.

CONCLUSIONS

As CNMA becomes more widely used for the evaluation of multicomponent interventions, the novel CNMA-specific visualisations presented in this paper, which improve on the limitations of existing visualisations, will be important to aid understanding of the complex data structure and facilitate interpretation of the CNMA results.

Evaluation of Implementation Strategies for Cognitive Behavioral Therapy (CBT), Acceptance and Commitment Therapy (ACT), and Mindfulness-Based Stress Reduction (MBSR): a Systematic Review

BACKGROUND

Improving access to evidence-based psychotherapies (EBPs) is a Veterans Health Administration (VHA) priority. Cognitive behavioral therapy (CBT), acceptance and commitment therapy (ACT), and mindfulness-based stress reduction (MBSR) are effective for chronic pain and several mental health conditions. We synthesized evidence on implementation strategies to increase EBP access and use.

METHODS

We searched MEDLINE, Embase, PsycINFO, and CINAHL from inception until March 2021 for articles on EBP implementation within integrated health systems to treat chronic pain or chronic mental health conditions. Reviewers independently screened articles, extracted results, coded qualitative findings, and rated quality using modified criteria from Newcastle-Ottawa (quantitative results) or Critical Appraisal Skills Programme (qualitative results). We categorized implementation strategies using the Expert Recommendations for Implementing Change (ERIC) framework and classified outcomes using RE-AIM domains (Reach, Effectiveness, Adoption, Implementation, Maintenance).

RESULTS

Twelve articles (reporting results from 10 studies) evaluated CBT (k = 11) and ACT (k = 1) implementation strategies in large integrated healthcare systems. No studies evaluated MBSR implementation. Eight articles evaluated strategies within VHA. Six articles reported on national VHA EBP implementation programs; all involved training/education, facilitation, and audit/feedback. CBT and ACT implementation demonstrated moderate to large improvements in patient symptoms and quality of life. Trainings increased mental health provider self-efficacy in delivering EBPs, improved provider EBP perceptions, and increased provider EBP use during programs, but had unclear impacts on Reach. It was unclear whether external facilitation added benefit. Provider EBP maintenance was modest; barriers included competing professional time demands and patient barriers.

DISCUSSION

Multi-faceted CBT and ACT implementation programs increased provider EBP Adoption but had unclear impacts on Reach. Future implementation efforts should further evaluate Reach, Adoption, and Maintenance; assess the added value of external facilitation; and consider strategies targeting patient barriers. Future work should use implementation frameworks to guide evaluations of barriers and facilitators, processes of change, and outcomes.

REGISTRATION

PROSPERO registration number CRD42021252038.

The Effect of an Adapted Digital Mental Health Intervention for Sickle Cell Disease on Engagement: A Pilot Randomized Controlled Trial

INTRODUCTION

Despite promising outcomes, lack of engagement and poor adherence are barriers to treating mental health using digital CBT, particularly in minority groups. After conducting guided focus groups, a current mental health app was adapted to be more inclusive for minorities living with SCD.

METHODS

Patients between the ages of 16-35 with SCD who reported experiencing anxiety or depression symptoms were eligible for this study. Once enrolled, participants were randomly assigned to receive one of two versions of a mental health app 1) the current version designed for the general population and 2) the adapted version. Baseline measures for depression, anxiety, pain and self-efficacy were completed at the start of the study and again at postintervention (minimum 4 weeks).

RESULTS

Compared to baseline, pain (p = 0.03), self-efficacy (p = 0.007) and depression symptoms (p = 0.016) improved for the group that received the adapted app. Regardless of group assignment, a positive relationship (r = 0.47) was shown between app engagement and a change in depression symptoms (p = 0.042).

DISCUSSION

Target enrollment for this study sought to enroll 40 participants. However, after difficulties locating qualified participants, enrollment criteria were adjusted to expand the population pool. Regardless of these efforts, the sample size for this study was still smaller than anticipated (n = 21). Additionally, irrespective of group approximately 40% of participants did not engage with the app. However, despite a small sample size and poor engagement, participants in the intervention group displayed better outcomes and showed trends for greater app interaction.

CONCLUSION

These promising results should encourage future researchers to continue exploring ideal adaptations for implementing digital CBT in minority populations. Future studies should also consider implementing post-intervention surveys to help identify common factors relating to a lack of engagement.

Integrated therapist and online CBT for depression in primary care (INTERACT): study protocol for a multi-centre randomised controlled trial

BACKGROUND

Cognitive behavioural therapy (CBT) is an effective treatment for depression. Self-directed online CBT interventions have made CBT more accessible at a lower cost. However, adherence is often poor and, in the absence of therapist support, effects are modest and short-term. Delivering CBT online using instant messaging is clinically and cost-effective; however, most existing platforms are limited to instant messaging sessions, without the support of between-session "homework" activities. The INTERACT intervention integrates online CBT materials and 'high-intensity' therapist-led CBT, delivered remotely in real-time. The INTERACT trial will evaluate this novel integration in terms of clinical and cost-effectiveness, and acceptability to therapists and clients.

METHODS

Pragmatic, two parallel-group multi-centre individually randomised controlled trial, with 434 patients recruited from primary care practices in Bristol, London and York. Participants with depression will be identified via General Practitioner record searches and direct referrals.

INCLUSION CRITERIA

aged ≥ 18 years; score ≥ 14 on Beck Depression Inventory (BDI-II); meeting International Classification of Diseases (ICD-10) criteria for depression.

EXCLUSION CRITERIA

alcohol or substance dependency in the past year; bipolar disorder; schizophrenia; psychosis; dementia; currently under psychiatric care for depression (including those referred but not yet seen); cannot complete questionnaires unaided or requires an interpreter; currently receiving CBT/other psychotherapy; received high-intensity CBT in the past four years; participating in another intervention trial; unwilling/unable to receive CBT via computer/laptop/smartphone. Eligible participants will be randomised to integrated CBT or usual care. Integrated CBT utilises the standard Beckian intervention for depression and comprises nine live therapist-led sessions, with (up to) a further three if clinically appropriate. The first session is 60-90 min via videocall, with subsequent 50-min sessions delivered online, using instant messaging. Participants allocated integrated CBT can access integrated online CBT resources (worksheets/information sheets/videos) within and between sessions. Outcome assessments at 3-, 6-, 9- and 12-month post-randomisation. The primary outcome is the Beck Depression Inventory (BDI-II) score at 6 months (as a continuous variable). A nested qualitative study and health economic evaluation will be conducted.

DISCUSSION

If clinically and cost-effective, this model of integrated CBT could be introduced into existing psychological services, increasing access to, and equity of, CBT provision.

TRIAL REGISTRATION

ISRCTN, ISRCTN13112900. Registered on 11/11/2020. Currently recruiting participants. Trial registration data are presented in Table 1.

Network meta-analysis in psychology and educational sciences: A systematic review of their characteristics

Network meta-analysis (NMA) allows the combination of evidence on the effectiveness of several interventions. NMA has mainly been applied in the medical science field, whereas in the domain of psychology and educational sciences its use is less frequent. Consequently, systematic reviews that describe the characteristics of published NMAs are limited to the field of medicine, and nothing is known about the characteristics of NMAs published in the psychology and educational sciences field. However, this information is still relevant for the design of future simulation studies and for detecting good and bad research practices. Thus, this study describes the features of the meta-analytic datasets of NMAs published in the field of psychology and educational sciences, as well as their methodological characteristics, and compares them to those observed in the medical domain. Results show that the number of studies included is larger in NMAs from psychology and educational sciences, the most commonly used effect size is the standardized mean difference (unlike the odds ratio in medicine), the sample size is smaller, more intervention groups are included, and inconsistent effects are observed more often. These results can be used in future simulation studies to generate realistic datasets. Finally, we warn about the poor quality of reporting of some technical aspects of the NMA, such as the statistical model used.

Clinicians' experiences in signposting an online mental health resource to expectant mothers: a qualitative study

BACKGROUND

Poor maternal mental well-being and a lack of secure parent-infant attachment, have been identified as important factors associated with adverse mental health outcomes later in a child's life. Interventions designed to care for maternal mental well-being during pregnancy and early parenthood, are therefore likely to support healthy child development. Mentalization is a skill parents can practice, improving the emotional bond to the child, offering insights into their own and the child's mental states and potentially improving parental mental well-being. Most pregnant women in Denmark schedule antenatal consultations in general practice, potentially offering a solid platform to promote web-based interventions aiming to enhance mentalization skills. Signposting towards online resources has several advantages including high accessibility, ease of distribution and cost-effectiveness. We aimed to explore the attitudes and experiences of clinicians in general practice in signposting women towards a web-intervention to increase parental mentalization skills.

METHODS

The intervention was offered to pregnant women at their primary preventive antenatal consultation in Danish general practice around week eight of pregnancy, and was designed to be incorporated into the following antenatal- and pediatric consultations until the child's second birthday. Semi-structured interviews about clinicians' experiences with signposting the intervention were conducted with 11 general practitioners (GP), three practice midwives (MW) and one practice nurse (NR).

RESULTS

Clinicians wanted to enhance the focus on mental well-being in pregnancy and early childhood during preventive consultations. The main barriers to signposting the web-program were decreasing motivation over time, lack of financial viability and time limitations. Utilizing a psychoeducational web-intervention was generally accepted by clinicians, but ideally not carried out solely in general practice.

CONCLUSION

Signposting web-programs to improve parental mentalization skills can be welcomed by clinicians in general practice but need to be more tailored to suit the everyday workflow of the clinics. Addressing parental mentalization remains largely unchartered territory for pregnant women and clinicians alike, therefore training clinicians on the subject and its presentation should be offered.

TRIAL REGISTRATION

The study is part of a larger project that has been approved by the Research Ethics Committee at the University of Copenhagen, Nov. 2019 (reference number 504-0111/19-5000).

Management of Anxiety and Depression in Adult Survivors of Cancer: ASCO Guideline Update

PURPOSE

To update the American Society of Clinical Oncology guideline on the management of anxiety and depression in adult cancer survivors.

METHODS

A multidisciplinary expert panel convened to update the guideline. A systematic review of evidence published from 2013-2021 was conducted.

RESULTS

The evidence base consisted of 17 systematic reviews ± meta analyses (nine for psychosocial interventions, four for physical exercise, three for mindfulness-based stress reduction [MBSR], and one for pharmacologic interventions), and an additional 44 randomized controlled trials. Psychological, educational, and psychosocial interventions led to improvements in depression and anxiety. Evidence for pharmacologic management of depression and anxiety in cancer survivors was inconsistent. The lack of inclusion of survivors from minoritized groups was noted and identified as an important consideration to provide high-quality care for ethnic minority populations.

RECOMMENDATIONS

It is recommended to use a stepped-care model, that is, provide the most effective and least resource-intensive intervention based on symptom severity. All oncology patients should be offered education regarding depression and anxiety. For patients with moderate symptoms of depression, clinicians should offer cognitive behavior therapy (CBT), behavioral activation (BA), MBSR, structured physical activity, or empirically supported psychosocial interventions. For patients with moderate symptoms of anxiety, clinicians should offer CBT, BA, structured physical activity, acceptance and commitment therapy, or psychosocial interventions. For patients with severe symptoms of depression or anxiety, clinicians should offer cognitive therapy, BA, CBT, MBSR, or interpersonal therapy. Treating clinicians may offer a pharmacologic regimen for depression or anxiety for patients who do not have access to first-line treatment, prefer pharmacotherapy, have previously responded well to pharmacotherapy, or have not improved following first-line psychological or behavioral management.Additional information is available at www.asco.org/survivorship-guidelines.

A smartphone-based serious game for depressive symptoms: Protocol for a pilot randomized controlled trial

Background

Depression is the most prevalent mental disorder, with detrimental effects on the patient's well-being, high disability, and a huge associated societal and economic cost. There are evidence-based treatments, but it is difficult to reach all people in need. Internet-based interventions, and more recently smartphone-based interventions, were explored to overcome barriers to access. Evidence shows them to be effective alternatives to traditional treatments. This paper presents the protocol of a pilot study whose primary aim is to investigate the efficacy of a smartphone-based serious game intervention for patients with mild to moderate depressive symptoms.

Methods

This randomized controlled pilot trial protocol foresees two arms design: 1/ smartphone- based serious game intervention (based on Cognitive Behavior Therapy with particular emphasis on Behavioral Activation and Physical Activity), 2/ waiting list control group. The study is expected to recruit 40 participants (18+), which will be randomly assigned to one of the experimental conditions. The duration of the intervention is two months. The primary outcome measure will be depressive symptomatology. Secondary outcomes will include other variables such as physical activity, resilience, anxiety, depression impairment, and positive and negative affect. Treatment expectation, satisfaction, usability, and game playability will also be measured. The data will be analyzed based on the intention-to-treat and per protocol analyses.

Discussion

The study aims to establish initial evidence for the efficacy of a smartphone-based serious game intervention, to serve as input for a larger-scale randomized control trial. The intervention exploits advanced smartphone capabilities, such as the use of a serious game as delivery mode, with the potential benefit of engagement and treatment adherence, and motion sensors to monitor and stimulate physical activity. As a secondary objective, the study aims to gather initial evidence on the user's expectations, satisfaction, usability and playability of the serious game as a treatment.

Comparing the efficacy of mindfulness-based therapy and cognitive-behavioral therapy for depression in head-to-head randomized controlled trials: A systematic review and meta-analysis of equivalence

BACKGROUND

While Cognitive Behavioral Therapy (CBT) is recommended as first-line treatment for depression, a significant minority do not show an adequate treatment response. Despite evidence for the efficacy of Mindfulness-Based Therapies (MBT) both in treating current depression and preventing relapse, it remains unknown whether MBT and CBT are equivalent in the treatment of current depression.

METHODS

Five databases were searched for randomized controlled trials (RCTs) directly comparing MBT with CBT and including depression as primary or secondary outcome.

RESULTS

When pooling the results of 30 independent RCTs with a total of 2750 participants, MBT and CBT were statistically significantly equivalent at both post-intervention (Hedges's g = -0.009; p < .001) and follow-up (g = -0.033; p = .001). Supplementary Bayesian analyses provided further support for the alternative hypothesis of no difference between MBT and CBT. When exploring possible sources of heterogeneity, the differences at follow-up were smaller between CBT and mindfulness-based cognitive therapy (MBCT) than between CBT and mindfulness-based stress-reduction (MBSR) (Slope = 0.37;p = .022).

CONCLUSION

The currently available evidence suggests that that MBT and CBT are equally efficacious in treating current adult depression. It remains unclear whether the similar effects of the two intervention types are due to different mechanisms or common factors.

Efficacy of Cognitive Behavioral Therapy for Insomnia for the Treatment of Child and Adolescent Anxiety and Depression: A Systematic Review From Randomized Controlled Trials

ABSTRACT

Cognitive behavioral therapy for insomnia (CBT-I) has shown promising results in the adult population. However, there is not enough evidence for children and adolescents. Hence, we evaluated the current evidence of CBT-I in the treatment of anxiety and depression in children and adolescents. Published randomized clinical trials published before June 2020 were searched from PubMed, Cochrane Library of database, clinicaltrials.gov, and Google Scholar. Out of seven included studies, six studies assessed the effect of CBT-I on depression, and five assessed the effect on anxiety. In this review, most studies in this review showed a strong effect of CBT-I on symptoms of depression. Although a positive effect of CBT-I on anxiety was noted, only a small number of studies have considered this management. These findings should be considered preliminary, and further large-scale studies are warranted to further explore this finding further.

Layperson-Facilitated Internet-Delivered Cognitive Behavioral Therapy for Homebound Older Adults With Depression: Protocol for a Randomized Controlled Trial

BACKGROUND

Depression in older adults has serious biological, psychological, and social consequences. Homebound older adults experience a high burden of depression and significant barriers to accessing mental health treatments. Few interventions to address their specific needs have been developed. Existing treatment modalities can be challenging to scale up, are not tailored to unique population concerns, and require significant staffing support. Technology-assisted, layperson-facilitated psychotherapy has the potential to overcome these challenges.

OBJECTIVE

The aim of this study is to assess the efficacy of a layperson-facilitated internet-delivered cognitive behavioral therapy program tailored for homebound older adults. The novel intervention, Empower@Home, was developed based on user-centered design principles and partnerships between researchers, social service agencies, care recipients, and other stakeholders serving low-income homebound older adults.

METHODS

This 2-arm, 20-week pilot randomized controlled trial (RCT) with a waitlist control crossover design aims to enroll 70 community-dwelling older adults with elevated depressive symptoms. The treatment group will receive the 10-week intervention immediately, whereas the waitlist control group will cross over and receive the intervention after 10 weeks. This pilot is part of a multiphase project involving a single-group feasibility study (completed in December 2022). This project consists of a pilot RCT (described in this protocol) and an implementation feasibility study running in parallel with the pilot RCT. The primary clinical outcome of the pilot is the change in depressive symptoms after the intervention and at the 20-week postrandomization follow-up. Additional outcomes include acceptability, adherence, and changes in anxiety, social isolation, and quality of life.

RESULTS

Institutional review board approval was obtained for the proposed trial in April 2022. Recruitment for the pilot RCT began in January 2023 and is anticipated to end in September 2023. On completion of the pilot trial, we will examine the preliminary efficacy of the intervention on depression symptoms and other secondary clinical outcomes in an intention-to-treat analysis.

CONCLUSIONS

Although web-based cognitive behavioral therapy programs are available, most programs have low adherence and very few are tailored for older adults. Our intervention addresses this gap. Older adults, particularly those with mobility difficulties and multiple chronic health conditions, could benefit from internet-based psychotherapy. This approach can serve a pressing need in society while being cost-effective, scalable, and convenient. This pilot RCT builds on a completed single-group feasibility study by determining the preliminary effects of the intervention compared with a control condition. The findings will provide a foundation for a future fully-powered randomized controlled efficacy trial. If our intervention is found to be effective, implications extend to other digital mental health interventions and populations with physical disabilities and access restrictions who face persistent disparities in mental health.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05593276; https://clinicaltrials.gov/ct2/show/NCT05593276.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/44210.

Effect of MBSR, DBT and CBT on the hypertension patients with depression/anxiety: Protocol of a systematic review and Bayesian network meta-analysis

INTRODUCTION

Hypertension, one of the most common chronic diseases worldwide, usually requires lifetime managing blood pressure (BP) with medications. Due to quite large number of hypertension patients co-exist with depression and/or anxiety, and non-cooperated with medical instruction, consequently management of BP is impaired with serious complications, resulting in compromised quality of life. Consequently quality of life of such patients is impaired with serious complications. Therefore, management of depression and/or anxiety is equally important as the treatment of hypertension. Depression and/or anxiety are independent risk factors of hypertension, which is supported by the finding that there is close correlation between hypertension are depression/or anxiety. Psychotherapy (non-drug treatment) maybe useful for hypertensive patients with depression and/or anxiety to improve their negative emotions. We aim to quantify the effective of psychological therapies in the management of hypertension patients with depression or anxiety, by comparing and ranking a network meta-analysis (NMA).

MATERIALS AND METHODS

Literature search for randomized controlled trials (RCTs) will be performed in five electronic databases from inception to December 2021, including PubMed, the Cochrane library, Embase, Web of Science, and China Biology Medicine disc (CBM). The search terms mainly include "hypertension", "mindfulness-based stress reduction" (MBSR), "cognitive behavioral therapy" (CBT) and "dialectical behavior therapy" (DBT). Cochrane Collaboration quality assessment tool will be used for the risk of bias assessment. A Bayesian network meta-analysis will be performed, using WinBUGS 1.4.3, and Stata 14 will be applied to draw the network diagram, while RevMan 5.3.5 will be used to produce funnel plot for assessing the risk of publication bias. Recommended rating, development and grade methodology will also be utilized to assess the quality of evidence.

RESULTS

Effect of MBSR, CBT and DBT will be evaluated by traditional meta-analysis directly and Bayesian network meta-analysis indirectly. Our study will provide the evidence on the efficacy and safety of psychological treatments in the hypertension patients with anxiety. There is no research ethical requirement because this is a systematic review of published literature. The results of this study will be published in a peer-reviewed journal.

TRIAL REGISTRATION

Prospero registration number: CRD42021248566.

Heterogeneity in major depressive disorder: The need for biomarker-based personalized treatments

Major Depressive Disorder (MDD) or depression is a pathological mental condition affecting millions of people worldwide. Identification of objective biological markers of depression can provide for a better diagnostic and intervention criteria; ultimately aiding to reduce its socioeconomic health burden. This review provides a comprehensive insight into the major biomarker candidates that have been implicated in depression neurobiology. The key biomarker categories are covered across all the "omics" levels. At the epigenomic level, DNA-methylation, non-coding RNA and histone-modifications have been discussed in relation to depression. The proteomics system shows great promise with inflammatory markers as well as growth factors and neurobiological alterations within the endocannabinoid system. Characteristic lipids implicated in depression together with the endocrine system are reviewed under the metabolomics section. The chapter also examines the novel biomarkers for depression that have been proposed by studies in the microbiome. Depression affects individuals differentially and explicit biomarkers identified by robust research criteria may pave the way for better diagnosis, intervention, treatment, and prediction of treatment response.

Predicting the Outcomes of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Applications of Artificial Neural Network and Support Vector Machine

PURPOSE

Internet-based cognitive behavioral therapy (ICBT) has been found to be effective for tinnitus management, although there is limited understanding about who will benefit the most from ICBT. Traditional statistical models have largely failed to identify the nonlinear associations and hence find strong predictors of success with ICBT. This study aimed at examining the use of an artificial neural network (ANN) and support vector machine (SVM) to identify variables associated with treatment success in ICBT for tinnitus.

METHOD

The study involved a secondary analysis of data from 228 individuals who had completed ICBT in previous intervention studies. A 13-point reduction in Tinnitus Functional Index (TFI) was defined as a successful outcome. There were 33 predictor variables, including demographic, tinnitus, hearing-related and treatment-related variables, and clinical factors (anxiety, depression, insomnia, hyperacusis, hearing disability, cognitive function, and life satisfaction). Predictive models using ANN and SVM were developed and evaluated for classification accuracy. SHapley Additive exPlanations (SHAP) analysis was used to identify the relative predictor variable importance using the best predictive model for a successful treatment outcome.

RESULTS

The best predictive model was achieved with the ANN with an average area under the receiver operating characteristic value of 0.73 ± 0.03. The SHAP analysis revealed that having a higher education level and a greater baseline tinnitus severity were the most critical factors that influence treatment outcome positively.

CONCLUSIONS

Predictive models such as ANN and SVM help predict ICBT treatment outcomes and identify predictors of outcome. However, further work is needed to examine predictors that were not considered in this study as well as to improve the predictive power of these models.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.21266487.

Parent preferences for adolescent depression treatment: The role of past treatment experience and biological etiological beliefs

BACKGROUND

Parents play a crucial role in facilitating depression treatment for adolescents, yet parental preferences for adolescent treatments are ill-understood. Past treatment experience and belief in a biological model of depression may impact preferences, and warrant investigation.

METHODS

Parents (N = 143) of teens (12-18 years) completed a survey assessing preference for adolescent depression treatments, treatment knowledge, and beliefs about the biological etiology of depression. Details about parents' and adolescents' past mental health concerns and treatment were obtained. Parents indicated degree of preference from 0 (Not at all preferable) - 10 (Highly preferable) for six treatment options (counselling, antidepressant medication, repetitive transcranial magnetic stimulation, electroconvulsive therapy, exercise, no treatment) for three adolescents vignettes depicting varying depression severity (Mild/Moderate, Severe, and Treatment-Resistant).

RESULTS

Mean preference ratings across all vignette severities were high for counselling (range: 8.57-9.38) and exercise (range: 9.04-9.25). Multiple regression revealed parental past experience of psychopharmacological treatment was significantly associated with current preference for adolescent antidepressant medication, with increased helpfulness and milder/fewer adverse events associated with stronger preference. Greater perceived helpfulness of past teen psychopharmacological treatment was significantly associated with greater current parental preference for adolescent antidepressant medication. Strength of biological beliefs and counselling preference were significantly positively associated.

LIMITATIONS

Sample was highly educated, predominately female, and majority treatment-utilizing limiting the generalizability of findings.

CONCLUSIONS

Parents' own past medication experiences and degree of biological etiological beliefs appear to be associated with current teen depression treatment preferences. Counselling and exercise were highly preferred across depression severity.

The effect of cognitive behavior therapy on anxiety and depression during COVID-19 pandemic: a systematic review and meta-analysis

BACKGROUND

The global spread of coronavirus has caused many physical and mental health problems throughout the world. Depression and anxiety are among the issues that people are experiencing abundantly, along with other mental health disorders, during this period. Cognitive behavior therapy (CBT) is one of the approaches that is effective on improving most of the psychological issues including depression and anxiety. The objective of this systematic review and meta-analysis was to assess the effects of CBT on depression and anxiety during COVID-19 pandemic period.

METHODS

English databases such as Cochrane, PubMed, Google Scholar, Web of Science and Persian databases such as SID, MagIran and IranDoc were searched with a time limit of 2019 to 2022. Two researchers independently evaluated the quality of the entered studies based on Cochrane handbook. Subgroup analysis was conducted separately on the basis of being infected with coronavirus, not being infected with coronavirus, and having a history of depression or anxiety before the intervention and internet-based CBT for depression and anxiety. Meta-analysis results were reported using standardized mean difference (SMD) and 95% confidence interval (95% CI). Heterogeneity of studies was analyzed by means of I2 index; and in the case of heterogeneity presence, random effects model was used instead of fixed effects model. Grading of Recommendations Assessment, Development and Evaluation (GRADE) was used for evaluating the quality of evidence.

RESULTS

Totally, 2015 articles were analyzed of which 11 articles entered meta-analysis. The overall results of meta-analysis showed that mean score of anxiety in the group receiving CBT was significantly lower than the control group (SMD: - 0.95, 95% CI - 1.29 to - 0.62; P < 0.00001, I2 = 94%). In addition, mean score of depression in the intervention group was significantly lower than the control group (SMD: - 0.58; 95% CI - 1.00 to - 0.16, P < 0.00001, I2 = 94%). In addition, the results of subgroup meta-analysis showed that internet-based CBT was effective in reducing of depression (SMD - 0.35; 95% CI - 0.50 to - 0.20; P < 0.00001; I2 = 0%) and anxiety (SMD - 0.90; 95%CI - 1.47 to - 0.33; P = 0.002; I2 = 94%). The evidence about the effectiveness of CBT on depression and anxiety compared with control group on the basis of GRADE approach had low quality.

CONCLUSIONS

Meta-analysis results showed that CBT reduced the mean scores of anxiety and depression significantly during COVID-19 pandemic period. Due to the low quality of evidence, conducting more randomized controlled trials with rigorous design is suggested. Prospero registration This systematic review has been registered in Prospero (ID: CRD42021277213).

Effective differentiation between depressed patients and controls using discriminative eye movement features

BACKGROUND

Depression is a common debilitating mental disorder caused by various factors. Identifying and diagnosing depression are challenging because the clinical evaluation of depression is mainly subjective, lacking objective and quantitative indicators. The present study investigated the value and significance of eye movement measurements in distinguishing depressed patients from controls.

METHODS

Ninety-five depressed patients and sixty-nine healthy controls performed three eye movement tests, including fixation stability, free-viewing, and anti-saccade tests, and eleven eye movement indexes were obtained from these tests. The independent t-test was adopted for group comparisons, and multiple logistic regression analysis was employed to identify diagnostic biomarkers. Support vector machine (SVM), quadratic discriminant analysis (QDA), and Bayesian (BYS) algorithms were applied to build the classification models.

RESULTS

Depressed patients exhibited eye movement anomalies, characterized by increased saccade amplitude in the fixation stability test; diminished saccade velocity in the anti-saccade test; and reduced saccade amplitude, shorter scan path length, lower saccade velocity, decreased dynamic range of pupil size, and lower pupil size ratio in the free-viewing test. Four features mentioned above entered the logistic regression equation. The classification accuracies of SVM, QDA, and BYS models reached 86.0%, 81.1%, and 83.5%, respectively.

CONCLUSIONS

Depressed patients exhibited abnormalities across multiple tests of eye movements, assisting in differentiating depressed patients from healthy controls in a cost-effective and non-invasive manner.

Comparative Efficacy of Exercise Training and Conventional Psychotherapies for Adult Depression: A Network Meta-Analysis

Objective

An estimated 3.8% of the global population experiences depression, according to the [2019] WHO report. Evidence supports the efficacy of exercise training (EX) for depression; however, its comparative efficacy to conventional, evidence-supported psychotherapies remains understudied. Therefore, we conducted a network meta-analysis to compare the efficacy of exercise training (EX), behavioral activation therapy (BA), cognitive-behavioral therapy (CBT), and non-directive supportive therapy (NDST).

Methods

Our search was performed in seven relevant databases (inception to March 10, 2020) and targeted randomized trials comparing psychological interventions head-to-head and/or to a treatment as usual (TAU) or waitlist (WL) control for the treatment of adults (18 years or older) with depression. Included trials assessed depression using a validated psychometric tool.

Results

From 28,716 studies, 133 trials with 14,493 patients (mean age of 45.8 years; 71.9% female) were included. All treatment arms significantly outperformed TAU (standard mean difference [SMD] range, -0.49 to -0.95) and WL (SMD range, -0.80 to -1.26) controls. According to surface under the cumulative ranking (SUCRA) probabilities, BA was mostly likely to have the highest efficacy (1.6), followed by CBT (1.9), EX (2.8), and NDST (3.8). Effect size estimates between BA and CBT (SMD = -0.09, 95% CI [-0.50 to 0.31]), BA and EX (-0.22, [-0.68 to 0.24]), and CBT and EX (-0.12, [-0.42 to 0.17]) were very small, suggesting comparable treatment effects of BA, CBT, and EX. With individual comparisons of EX, BA, and CBT to NDST, we found small to moderate effect sizes (0.09 to 0.46), suggesting EX, BA, and CBT may equally outperform NDST.

Conclusions

Findings provide preliminary yet cautionary support for the clinical use of exercise training for adult depression. High study heterogeneity and lack of sound investigations of exercise must be considered. Continued research is needed to position exercise training as an evidence-based therapy.

Oxytocin and the social facilitation of placebo effects

Significant clinical improvement is often observed in patients who receive placebo treatment in randomized double-blind placebo-controlled trials. While a proportion of this "improvement" reflects experimental design limitations (e.g., reliance on subjective outcomes, unbalanced groups, reporting biases), some of it reflects genuine improvement corroborated by physiological change. Converging evidence across diverse medical conditions suggests that clinically-relevant benefits from placebo treatment are associated with the activation of brain reward circuits. In parallel, evidence has accumulated showing that such benefits are facilitated by clinicians that demonstrate warmth and proficiency during interactions with patients. Here, we integrate research on these neural and social aspects of placebo effects with evidence linking oxytocin and social reward to advance a neurobiological account for the social facilitation of placebo effects. This account frames oxytocin as a key mediator of treatment success across a wide-spectrum of interventions that increase social connectedness, thereby providing a biological basis for assessing this fundamental non-specific element of medical care.