Attitudes and Preferences towards Self-help Treatments for Depression in Comparison to Psychotherapy and Antidepressant Medication

Internet-based therapist-supported interpersonal psychotherapy for depression: A randomized controlled trial

BACKGROUND

Depression is a common disorder for which there are several treatments options including different psychological treatments. The aim of this study was to investigate the effects of internet-based interpersonal psychotherapy (IPT) for symptoms of depression in randomized controlled trial.

METHODS

Following recruitment via advertisement a total of 113 participants with mild to moderate symptoms of depression were included and randomized to either a ten-week internet-based IPT with weekly therapist guidance or a waitlist control condition. The primary outcome was symptoms of depression measured weekly with the Montgomery Åsberg Depression Rating Scale (MADRS-S) and at pre- and post-treatment assessment with the Beck's Depression Inventory (BDI-II). Secondary outcomes were self-rated quality of life and symptoms of generalized anxiety disorder. We also measured therapeutic alliance and treatment credibility. Outcomes were evaluated with a latent growth curve model (for MADRS-S) and robust linear regression models (for the other measures). The trial was conducted during the Covid-19 pandemic in the spring of 2021.

RESULTS

Significant differences favoring the treatment group were found on three of the four outcomes: BDI-II, quality of life ratings, and ratings of generalized anxiety. Between-group effect sizes for these outcomes were moderate (BDI-II, quality of life) or small (generalized anxiety). The latent growth curve model did not indicate a significant difference on the weekly MADRS-S ratings. Exploratory analyses did not show an association between therapeutic alliance, treatment credibility and outcome.

LIMITATIONS

Missing data at post-treatment was high in the treatment group (37 %), though the missingness was not significantly related to observed ratings at pre-treatment or estimated trajectories during the treatment. Few participants completed all modules. The Covid-19 pandemic situation may have affected both effects and dropout rates.

CONCLUSIONS

Internet-based IPT can lead to significant improvements, though the reductions in symptoms of depression were not consistent across the two measures used. Completion rates and dropout patterns suggest a need for improved acceptability.

TRIAL REGISTRATION

The trial was preregistered at Clinicaltrials.gov (Identifier: NCT04721678). Registered January 2021.https://clinicaltrials.gov/study/NCT04721678.

Increasing the Therapeutic Dosage by Combining Cognitive Behavior Group Therapy With a Monitored Self-Help Group

Objective: A problem in psychotherapy is the limited availability of psychotherapists. This can not only delay the start of therapy but also curtail the number of sessions and the therapeutic dosage. An option to extend the therapeutic dose without an increase in therapist time may be to combine group psychotherapy with a self-help group. The goal of the present study is to investigate how patients judge this treatment mode and to what degree the contents of a regular group treatment are pursued in a parallel self-help group.Method: Seventy-two psychosomatic inpatients participated in cognitive behavior group therapy and parallel self-help group, which was monitored by the therapist during the regular group therapy sessions. Patients in both groups filled in a questionnaire that asked for the content of the group session, how patients had experienced the interaction, and what they had taken from the group.Results: Patients reported that in the self-help group, they discussed similar topics as in the regular group therapy, like how to deal with anxiety or sadness, how to interact with other people, and how to cope with their mental disorder and problems at work, in the family, or with friends. Patients indicated that there was more relaxed chatting in the self-help group, whereas learning new behavior was reported more frequently for the regular group therapy.Conclusions: In the regular group therapy and the guided self-help group, similar topics were discussed, which suggests that a combination of both can extend the therapeutic process and increase the therapeutic dosage without costs for the therapist or the institution.

Psychosocial factors associated with treatment preference in mental health

BACKGROUND

Studies examining the effects of incorporating patients' preferences into treatment outcomes highlight their impact on crucial aspects such as reduced dropout rates and enhanced effectiveness. Recognizing individuals' rights to participate in decisions about their treatments underscores the importance of studying treatment preferences and the factors influencing these choices.

AIM

This study aims to identify treatment preferences (psychological, pharmacological, or combined) among a sample of patients and to discern the psychosocial and clinical factors influencing these preferences.

METHODS

A total of 2,133 individuals receiving care at a community mental health unit completed assessments on anxious-depressive symptoms, social and occupational adjustment, and their treatment preference. Data analysis was conducted using SPSS, with descriptive statistics, Chi-square tests, and one-way ANOVA applied.

RESULTS

Preferences for treatments were distributed as follows: Combined (49.8%), psychological (33%), and pharmacological (10.6%). Factors such as diagnosis, severity of depressive and anxious symptoms, and functional impact were related to treatment preference with a moderate effect size. Meanwhile, various sociodemographic factors correlated with the selected treatment, though with a weak effect size.

CONCLUSIONS

There is a pronounced preference for combined treatments. The significance of psychological treatments is evident, as four out of five participants favored them in their choices. Addressing these preferences calls for an exploration within the broader context of prescription freedom in mental health.

Psychological therapies for depression in older adults residing in long-term care settings

BACKGROUND

Depression is common amongst older people residing in long-term care (LTC) facilities. Currently, most residents treated for depression are prescribed antidepressant medications, despite the potential availability of psychological therapies that are suitable for older people and a preference amongst many older people for non-pharmacological treatment approaches.

OBJECTIVES

To assess the effect of psychological therapies for depression in older people living in LTC settings, in comparison with treatment as usual, waiting list control, and non-specific attentional control; and to compare the effectiveness of different types of psychological therapies in this setting.

SEARCH METHODS

We searched the Cochrane Common Mental Disorders Group Controlled Trials Register, CENTRAL, MEDLINE, Embase, five other databases, five grey literature sources, and two trial registers. We performed reference checking and citation searching, and contacted study authors to identify additional studies. The latest search was 31 October 2021.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) and cluster-RCTs of any type of psychological therapy for the treatment of depression in adults aged 65 years and over residing in a LTC facility.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened titles/abstracts and full-text manuscripts for inclusion. Two review authors independently performed data extraction and risk of bias assessments using the Cochrane RoB 1 tool. We contacted study authors for additional information where required. Primary outcomes were level of depressive symptomatology and treatment non-acceptability; secondary outcomes included depression remission, quality of life or psychological well-being, and level of anxious symptomatology. We used Review Manager 5 to conduct meta-analyses, using pairwise random-effects models. For continuous data, we calculated standardized mean differences and 95% confidence intervals (CIs), using endpoint data, and for dichotomous data, we used odds ratios and 95% CIs. We used GRADE to assess the certainty of the evidence.

MAIN RESULTS

We included 19 RCTs with 873 participants; 16 parallel group RCTs and three cluster-RCTs. Most studies compared psychological therapy (typically including elements of cognitive behavioural therapy, behavioural therapy, reminiscence therapy, or a combination of these) to treatment as usual or to a condition controlling for the effects of attention. We found very low-certainty evidence that psychological therapies were more effective than non-therapy control conditions in reducing symptoms of depression, with a large effect size at end-of-intervention (SMD -1.04, 95% CI -1.49 to -0.58; 18 RCTs, 644 participants) and at short-term (up to three months) follow-up (SMD -1.03, 95% CI -1.49 to -0.56; 16 RCTs, 512 participants). In addition, very low-certainty evidence from a single study with 82 participants indicated that psychological therapy was associated with a greater reduction in the number of participants presenting with major depressive disorder compared to treatment as usual control, at end-of-intervention and short-term follow-up. However, given the limited data on the effect of psychological therapies on remission of major depressive disorder, caution is advised in interpreting this result. Participants receiving psychological therapy were more likely to drop out of the trial than participants receiving a non-therapy control (odds ratio 3.44, 95% CI 1.19 to 9.93), which may indicate higher treatment non-acceptability. However, analyses were restricted due to limited dropout case data and imprecise reporting, and the finding should be interpreted with caution. There was very low-certainty evidence that psychological therapy was more effective than non-therapy control conditions in improving quality of life and psychological well-being at short-term follow-up, with a medium effect size (SMD 0.51, 95% CI 0.19 to 0.82; 5 RCTs, 170 participants), but the effect size was small at postintervention (SMD 0.40, 95% CI -0.02 to 0.82; 6 RCTs, 195 participants). There was very low-certainty evidence of no effect of psychological therapy on anxiety symptoms postintervention (SMD -0.68, 95% CI -2.50 to 1.14; 2 RCTs, 115 participants), although results lacked precision, and there was insufficient data to determine short-term outcomes.

AUTHORS' CONCLUSIONS

This systematic review suggests that cognitive behavioural therapy, behavioural therapy, and reminiscence therapy may reduce depressive symptoms compared with usual care for LTC residents, but the evidence is very uncertain. Psychological therapies may also improve quality of life and psychological well-being amongst depressed LTC residents in the short term, but may have no effect on symptoms of anxiety in depressed LTC residents, compared to control conditions. However, the evidence for these effects is very uncertain, limiting our confidence in the findings. The evidence could be strengthened by better reporting and higher-quality RCTs of psychological therapies in LTC, including trials with larger samples, reporting results separately for those with and without cognitive impairment and dementia, and longer-term outcomes to determine when effects wane.

Managing mental health in chronic care in general practice: a feasibility study of the Healthy Mind intervention

BACKGROUND AND OBJECTIVE

Mental health issues are common among patients with chronic physical conditions. This study aims to evaluate the feasibility of the Healthy Mind intervention, a general practice-based programme that provides problem-solving therapy (PST) to patients with poor mental well-being and type 2 diabetes (T2D) and/or ischaemic heart disease (IHD).

DESIGN AND SETTING

A one-arm feasibility study was conducted in three general practices in the Central Denmark Region.

INTERVENTION

Eight healthcare providers from the included general practices underwent a two-day course to acquire PST skills. Screening for poor mental health was carried out at the annual chronic care consultation for T2D or IHD, and PST sessions were offered to patients on indication of poor mental health. Nine patients received PST.

METHODS

Semi-structured interviews with eight healthcare providers and six patients were conducted. Data were analysed deductively focusing on appropriateness, acceptability and fidelity of the intervention.

RESULTS

The intervention was considered appropriate for the patient group and the general practice setting. The providers acknowledged PST as a valuable tool for managing psychological issues in general practice, and the patients perceived PST as an effective and tangible treatment. Since practice nurses' schedules were generally better suited for longer consultations, they were often the preferred intervention providers. The intervention was largely delivered as intended. However, the GPs generally expected patients to prefer a more directive approach, which sometimes challenged their role as facilitator and guide.

CONCLUSION

The Healthy Mind intervention was found to be feasible, and the results support proceeding to a full-scale evaluation trial.

The differential effects of psychiatrists' and patients' prior experiences on views about psychiatric electroceutical interventions

The aim of this study is to examine ways in which prior experiences and familiarity with psychiatric electroceutical interventions (PEI) shape psychiatrists' and patients' views about these interventions. We administered a national survey, with an embedded experiment, to psychiatrists (n = 505) and adults diagnosed with depression (n = 1050). We randomly assigned respondents to one of 8 conditions using a full factorial experimental design: 4 PEI modalities [ECT, rTMS, DBS, or adaptive brain implants (ABIs)] by 2 depression severity levels [moderate or severe]. We analyzed the survey data with ANOVA and OLS linear regression models. Patients having experience with any PEI reported more positive affect toward, but also greater perceived risk from, their assigned PEI than did patients with no such experience. Psychiatrists who referred or administered any PEI reported more positive affect toward and greater perceived influence on self and perceived benefit from their assigned PEI than did psychiatrists with no such familiarity. Limitations of our study include that our participants were randomly assigned to a PEI, not necessarily to the one they had experience with. Moreover, our study did not directly ask about the kind of experiences participants had with a given PEI. Overall, our survey data shows that greater experience with PEIs elicits more positive affect in both stakeholder groups. Beyond this, prior PEI experience shapes attitudes towards these interventions in complex ways. Further research linking different types of experience with a given PEI would help better understand factors shaping attitudes about specific PEIs.

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.

Long-Term Efficacy of Internet-Based Cognitive Behavioral Therapy Self-Help Programs for Adults With Depression: Systematic Review and Meta-Analysis of Randomized Controlled Trials

BACKGROUND

Depression is a worldwide mental disorder and a leading cause of disability. Many people with depression do not want to take medication or have the motivation to seek psychotherapy treatment for many reasons. Guided internet-based self-help programs may be a promising solution for addressing these issues. This kind of intervention has proven to be effective in reducing depression symptoms on a short-term scale. However, as treatment often is a long-term rehabilitation process, it is important to examine not only the short-term effects of internet-based cognitive behavioral therapy (iCBT) self-help treatment but also the follow-up or long-term efficacy of this kind of intervention.

OBJECTIVE

This systematic review and meta-analysis aimed to identify studies that examined follow-up data ≥8 weeks after posttreatment measurements and thereby examined the long-term efficacy of iCBT self-help programs with minimal weekly guidance for people with depression. It aimed to analyze the long-term efficacy of iCBT treatments compared to control conditions as well as long-term efficacy within the iCBT treatment conditions. Additionally, it aimed to conduct subgroup analyses according to the follow-up time points for each outcome. Finally, it examined long-term improvements in quality of life.

METHODS

The Cochrane Collaboration Depression, Anxiety, and Neurosis Controlled Trials Register (CCDANCTR), grey literature, reference lists, and correspondence were used to search for published and unpublished randomized controlled trials (RCTs) that reported the long-term or follow-up efficacy of computer-based or iCBT self-help treatments for depression with minimal guidance of up to 10 min/wk. The search took place between 2015 and 2022 (October).

RESULTS

The search resulted in a total of 2809 study abstracts, of which 15 studies (with 17 samples) met all inclusion criteria and were included in the long-term analysis. The results showed that the depression outcomes of all follow-up time points together in the treatment conditions were favored over the control conditions with a medium effect size of 0.43 (n=1689 participants; 9 RCTs; standardized mean difference [SMD] -0.43, 95% CI -0.67 to -0.20; P<.001). The analysis of long-term efficacy within the iCBT treatment conditions showed that the follow-up outcomes of the treatment groups were favored over the posttreatment outcomes with a small effect size of 0.20 (n=2196 participants; 17 RCTs; SMD 0.20, 95% CI 0.07-0.49; P=.003). Findings for improving quality of life also showed that the iCBT conditions were favored over the control conditions with a small effect size of 0.19 (n=1345 participants; 3 RCTs; SMD 0.19, 95% CI 0.08-0.30; P<.001).

CONCLUSIONS

This systematic review and meta-analysis found that iCBT self-help interventions had a superior long-term efficacy for individuals with depressive symptoms compared to control groups. The within-group analysis of iCBT treatment conditions also showed statistically significant improvements in reducing depressive symptoms at follow-up compared to posttreatment measurements.

Treating depression with a smartphone-delivered self-help cognitive behavioral therapy for insomnia: a parallel-group randomized controlled trial

BACKGROUND

Despite its efficacy in treating comorbid insomnia and depression, cognitive behavioral therapy for insomnia (CBT-I) is limited in its accessibility and, in many countries, cultural compatibility. Smartphone-based treatment is a low-cost, convenient alternative modality. This study evaluated a self-help smartphone-based CBT-I in alleviating major depression and insomnia.

METHODS

A parallel-group randomized, waitlist-controlled trial was conducted with 320 adults with major depression and insomnia. Participants were randomized to receive either a 6-week CBT-I via a smartphone application, proACT-S, or waitlist condition. The primary outcomes included depression severity, insomnia severity, and sleep quality. The secondary outcomes included anxiety severity, subjective health, and acceptability of treatment. Assessments were administered at baseline, post-intervention (week 6) follow-up, and week 12 follow-up. The waitlist group received treatment after the week 6 follow-up.

RESULTS

Intention to treat analysis was conducted with multilevel modeling. In all but one model, the interaction between treatment condition and time at week 6 follow-up was significant. Compared with the waitlist group, the treatment group had lower levels of depression [Center for Epidemiologic Studies Depression Scale (CES-D): Cohen's d = 0.86, 95% CI (-10.11 to -5.37)], insomnia [Insomnia Severity Index (ISI): Cohen's d = 1.00, 95% CI (-5.93 to -3.53)], and anxiety [Hospital Anxiety and Depression Scale - Anxiety subscale (HADS-A): Cohen's d = 0.83, 95% CI (-3.75 to -1.96)]. They also had better sleep quality [Pittsburgh Sleep Quality Index (PSQI): Cohen's d = 0.91, 95% CI (-3.34 to -1.83)]. No differences across any measures were found at week 12, after the waitlist control group received the treatment.

CONCLUSION

proACT-S is an efficacious sleep-focused self-help treatment for major depression and insomnia.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT04228146. Retrospectively registered on 14 January 2020. http://www.w3.org/1999/xlink">https://clinicaltrials.gov/ct2/show/NCT04228146.

Efficacy of computer- and/or internet-based cognitive-behavioral guided self-management for depression in adults: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Depression is a worldwide disease. CBT-based self-help treatment allows patients with mild to moderate depression symptoms to improve their depression or to bridge the waiting- or pandemic period until they receive further clinical treatment.

OBJECTIVE

This systematic review and meta-analysis aims to explore the efficacy, acceptability and improvement in quality of life of computer-delivered and/or internet-based CBT self-help interventions with minimal guidance (up to 10 min) for depression. The second aim was to compare the effectiveness of reducing depression symptoms at post-treatment of treatment by the type of minimal guidance: (1) e-mail, (2) telephone calls, (3) e-mail and telephone together, or (4) face-to-face.

METHODS

The Cochrane depression, anxiety, and neurosis review group's specialized register electronic searches, grey literature, reference lists and correspondence were used to search for published and unpublished RCTs that reported efficacy of computer- and/or internet-based CBT self-help treatments for depression with minimal guidance up to 10 min per week. Methodological quality of included studies was evaluated with Cochrane Collaboration tools for assessing risk of bias. The meta-analysis was accomplished using the RevMen software.

RESULTS

In total, 2809 study abstracts were checked for eligibility. Out of these, 19 studies (21 samples) with a total of 3226 participants were included. The results showed that concerning efficacy, the treatment group is superior to the control group with a medium to large effect size of 0.65. Also, treatment groups with combined guidance by e-mail and telephone calls together had greater effects (SMD -0.76) than groups with other types of minimal guidance (guided by e-mail SMD -0.63; guided face to-face SMD - 0.66; guided by telephone calls SMD -0.49). Findings showed also, that iCBT with minimal guidance had small but statistically significant effect size of 0.28 in improving quality of life. Moreover, there were higher drop-out rates in the treatment condition (RR 1.36) than in the control groups.

CONCLUSIONS

The results of this meta-analysis support the efficacy of computer- and/or internet-based CBT self-help programs with minimal weekly guidance up to only 10 min for improving depression symptoms at post-treatment for adults. In addition, the results are pointing towards two practical implications. Firstly, depressed persons can use self-help treatment with minimal guidance at home to improve their symptoms or to bridge the waiting time - or pandemic period - before they receive professional face-to-face treatment. Secondly, it can help clinicians to make the decision about using CBT-based self-help treatments for patients that do not need urgent professional treatment, or to combine it with face-to-face therapy.

Exploring the Credibility of Psilocybin-assisted Therapy and Cognitive-behavioral Therapy for Depression

Depression treatments succeed with many but leave others unimproved, and they can generate concerns about side effects, time, and cost. Psilocybin has generated media attention and empirical support for antidepressant effects, but lay impressions of its effectiveness are unclear. Although perceptions of treatment credibility contribute to outcome, beliefs about the credibility of psilocybin-assisted therapy (PAT) among potential patients remain uninvestigated, especially relative to cognitive-behavioral therapy (CBT), a common, empirically-validated approach. The present study examined credibility ratings for CBT and PAT among individuals reporting depressive symptoms. Participants (N = 803) from Amazon's MTurk platform reported demographics, depressive symptoms, and psychotherapy experience, then read data-based vignettes describing each therapy and rated their credibility. Individuals rated CBT as more credible than PAT. Those with therapy experience rated CBT as more credible than those without. Men and lifetime hallucinogen users rated PAT more credible than women and non-users, but few other predictors accounted for much variance in credibility. Results suggest that potential clients appear cautious about PAT. As continued work examines the effectiveness of psychedelic-assisted interventions, researchers and clinicians must consider patients' beliefs about treatments as potential predictors of outcomes. Additionally, the paradigm used here might have potential for examining credibility of many interventions.

Real-time fMRI neurofeedback compared to cognitive behavioral therapy in a pilot study for the treatment of mild and moderate depression

Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback was found to reduce depressive symptoms. However, no direct comparison of drug-free patients with an active psychotherapy control group is available. The present study compared rt-fMRI neurofeedback with cognitive behavioral therapy, as the standard treatment in patients declining anti-depressants. Twenty adult, drug-free patients with mild or moderate depression were non-randomly assigned either to a course of eight half-hour sessions of neurofeedback targeting the left medial prefrontal cortex (N = 12) or to a 16-session course of cognitive behavioral therapy (N = 8). Montgomery-Asberg Depression Rating Scale was introduced at baseline, mid-treatment, and end-treatment points. In each group, 8 patients each remained in the study to a mid-treatment evaluation and 6 patients each to the study end-point. ANOVA revealed a depression reduction with a significant effect of Time (F(3,6) = 19.0, p < 0.001, η² = 0.76). A trend to greater improvement in the cognitive behavioral therapy group compared to neurofeedback emerged (Group × Time; p = 0.078). Percent signal change in the region of interest between up- and down-regulation conditions was significantly correlated with session number (Pearson's r = 0.85, p < 0.001) indicating a learning effect. As limitations, small sample size could lead to insufficient power and non-random allocation to selection bias. Both neurofeedback and cognitive behavioral therapy improved mild and moderate depression. Neurofeedback was not superior to cognitive behavioral therapy. Noteworthy, the neurofeedback training course was associated with continuous improvement in the self-regulation skill, without plateau. This study delivers data to plan clinical trials comparing neurofeedback with cognitive behavioral interventions.

An evaluation of Anxiety UK's psychological therapy service outcomes

BACKGROUND

Anxiety and depression are highly prevalent. The aim was to examine the effectiveness of Anxiety UK's national psychological therapy service; benchmarking against NHS IAPT data.

METHODS

We examined psychological therapy outcome data for Anxiety UK clients who completed therapy between April 2019 - March 2020 and benchmarked this against NHS Improving Access to Psychological Therapies (IAPT) outcome data for the same period. Anxiety UK clients completed validated measures of anxiety and depression at two time points: the first and last therapy session. Caseness, recovery, reliable improvement and reliable recovery rates were based on IAPT definitions.

RESULTS

957 clients completed at least two psychological therapy sessions with an Anxiety UK Approved Therapist. Recovery, reliable improvement, and reliably recovered rates exceeded IAPT targets. Depression and anxiety reduced from first to last session. Cognitive behavioural therapy produced the greatest change in anxiety over time compared to counselling and hypnotherapy. The more therapy sessions attended, the greater the change in anxiety and depression scores from the first to last session.

LIMITATIONS

For some clients, anxiety and depression levels may have alleviated without therapy. No outcome data were collected following therapy cessation. Therefore, conclusions regarding maintenance and long-term effects of therapy cannot be made.

CONCLUSION

Anxiety UK provide highly effective psychological therapies for anxiety and depression. Flexibility in the number of therapy sessions provided is recommended for NHS services and those of external organisations.

Machine Learning-Based Prediction Models for Depression Symptoms Among Chinese Healthcare Workers During the Early COVID-19 Outbreak in 2020: A Cross-Sectional Study

BACKGROUND

The 2019 novel coronavirus (COVID-19)-related depression symptoms of healthcare workers have received worldwide recognition. Although many studies identified risk exposures associated with depression symptoms among healthcare workers, few have focused on a predictive model using machine learning methods. As a society, governments, and organizations are concerned about the need for immediate interventions and alert systems for healthcare workers who are mentally at-risk. This study aims to develop and validate machine learning-based models for predicting depression symptoms using survey data collected during the COVID-19 outbreak in China.

METHOD

Surveys were conducted of 2,574 healthcare workers in hospitals designated to care for COVID-19 patients between 20 January and 11 February 2020. The patient health questionnaire (PHQ)-9 was used to measure the depression symptoms and quantify the severity, a score of ≥5 on the PHQ-9 represented depression symptoms positive, respectively. Four machine learning approaches were trained (75% of data) and tested (25% of data). Cross-validation with 100 repetitions was applied to the training dataset for hyperparameter tuning. Finally, all models were compared to evaluate their predictive performances and screening utility: decision tree, logistics regression with least absolute shrinkage and selection operator (LASSO), random forest, and gradient-boosting tree.

RESULTS

Important risk predictors identified and ranked by the machine learning models were highly consistent: self-perceived health status factors always occupied the top five most important predictors, followed by worried about infection, working on the frontline, a very high level of uncertainty, having received any form of psychological support material and having COVID-19-like symptoms. The area under the curve [95% CI] of machine learning models were as follows: LASSO model, 0.824 [0.792-0.856]; random forest, 0.828 [0.797-0.859]; gradient-boosting tree, 0.829 [0.798-0.861]; and decision tree, 0.785 [0.752-0.819]. The calibration plot indicated that the LASSO model, random forest, and gradient-boosting tree fit the data well. Decision curve analysis showed that all models obtained net benefits for predicting depression symptoms.

CONCLUSIONS

This study shows that machine learning prediction models are suitable for making predictions about mentally at-risk healthcare workers predictions in a public health emergency setting. The application of multidimensional machine learning models could support hospitals' and healthcare workers' decision-making on possible psychological interventions and proper mental health management.

A Narrative Review of Empirical Literature of Behavioral Activation Treatment for Depression

Grounded in the profound tradition of behaviorism theory and research, behavioral activation (BA) has become a standalone psychotherapy for depression. It is simple, straightforward, and easy to comprehend, with comparable efficacy to traditional CBT, and has developed into an evidence-based guided self-help intervention. The main work in the theoretical models and treatment manuals, as well as empirical evidence of the effectiveness of BA for (comorbid) depression in primary and medical care setting are introduced. With the rise of the third wave of CBT, therapeutic components across diagnoses will be incorporated into BA (e.g., mindfulness). Extensive studies are required to examine the neurobiological reward mechanism of BA for depression, and to explore the feasibility and necessity of e-mental health BA application into the public healthcare system in China.

Mental Health Conditions Among Community College Students: A National Study of Prevalence and Use of Treatment Services

OBJECTIVE

This study estimated the prevalence of self-reported symptoms of mental health problems and treatment utilization in a U.S. national sample of community college students and made comparisons with data from a sample of students at 4-year educational institutions.

METHODS

The study used data for 2016-2019 from the Healthy Minds Study, an annual cross-sectional survey. The sample included 10,089 students from 23 community colleges and 95,711 students from 133 4-year institutions. Outcomes were mental health symptom prevalence based on validated screening tools and rates of service utilization, such as use of therapy and psychotropic medication. Analyses were weighted by using survey nonresponse weights.

RESULTS

Prevalence rates were comparably high in the sample of community college and 4-year students, with just more than 50% of each group meeting criteria for one or more mental health problems. Analyses by age group revealed significantly higher prevalence for community college students ages 18-22 years, relative to their same-age peers at 4-year institutions. Community college students, particularly those from traditionally marginalized backgrounds, were significantly less likely to have used services, compared with students on 4-year campuses. Financial stress was a strong predictor of mental health outcomes, and cost was the most salient treatment barrier in the community college sample.

CONCLUSIONS

This is the largest known study to report on the mental health needs of community college students in the United States. Findings have important implications for campus policies and programs and for future research to advance equity in mental health and other key outcomes, such as college persistence and retention.

Treatment barriers, preferences and histories of individuals with symptoms of body dysmorphic disorder

BACKGROUND

Individuals with mental health concerns face many barriers when accessing psychological treatment. Even when patients overcome these barriers, they often do not receive an evidence-based treatment. Although the current literature highlights these issues clearly across psychological disorders, the research is limited in relation to body dysmorphic disorder (BDD).

AIM

The aim of this study was to examine psychological treatment barriers, treatment delivery preferences and treatment histories of individuals with symptoms of BDD.

METHOD

A total of 122 participants with clinically significant BDD symptoms (94% female; mean age = 34.19 years, SD = 10.86) completed the cross-sectional study.

RESULTS

The most frequently reported barriers to accessing psychological treatment for individuals with BDD symptoms were the cost of treatment (41%) and the belief that the symptoms did not warrant treatment (36%). Although 69% of treatment-seeking participants reported previously receiving cognitive behavioural therapy (CBT) for BDD, only 13% of participants appeared to receive best-practice CBT. The preferred modality of future psychological treatment delivery was face-to-face treatment with a therapist once a week (63%), rather than accelerated or remote treatment approaches.

CONCLUSIONS

The study suggests that there are significant barriers to accessing CBT for BDD. Reducing these barriers, as well as increasing consumer mental health literacy, is required to improve treatment access and treatment outcomes for individuals with BDD.

Guided Self-Help Behavioral Activation Intervention for Geriatric Depression: Protocol for Pilot Randomized Controlled Trial

Background

Aging is a social concern. The increased incidence of depression in older populations in China poses a challenge to the health care system. Older adults who are depressed often suffer from a lack of motivation. Behavioral activation treatment, an evidence-based guided self-help treatment, is effective in reducing anhedonia and amotivation in depression; however, the efficacy of guided self-help behavioral activation in older adults with depression is not yet known.

Objective

The aim of this study is to pilot a self-help guided intervention for the treatment of depression in older adults.

Methods

This study has been designed as a pilot randomized controlled trial with inpatients (n=60; to be randomly allocated 1:1) between the ages of 60 and 70 and who have major depressive disorder. Patients attending clinical psychological clinics at the Mental Health Center of Chongqing will be randomized to either receive guided self-help behavioral activation (intervention) or to be on a 6-week waiting list (control). Participants in the treatment group will receive 6 sessions of guided self-help behavioral activation delivered over the telephone. The waiting list control group will receive the intervention after a period of 6 weeks. Exclusion criteria will be individuals who are at significant risk of harming themselves or others, who have a primary mental health disorder other than depression, or who have an intellectual disability that would hamper their ability to participate in the intervention. Effects of the treatment will be observed using outcomes in 3 domains: (1) clinical outcomes (symptom severity, recovery rate), (2) process variables (patient satisfaction, attendance, dropout), and (3) economic outcomes (cost and resource use). We will also examine mediators of outcomes in terms of patient variables (behavioral activation or inhibition motivation). We hypothesize that guided self-help behavioral activation will have a beneficial effect.

Results

The study was approved by the research ethics committee of the Mental Health Center of Chongqing in November 2019. As of July 2020, recruitment had not yet begun. Data collection is expected to be completed by December 2020. Data analysis is expected to be completed by June 2021. Results will then be disseminated to patients, to the public, to clinicians, and to researchers through publications in journals and presentations at conferences.

Conclusions

This will be the first study in China to investigate guided self-help interventions for patients who are older adults and who are depressed, a group which is currently underrepresented in mental health research. The intervention is modular and adapted from an empirically supported behavioral activation treatment for depression. The generalizability and broad inclusion criteria are strengths.

Trial Registration

Chinese Clinical Trial Register ChiCTR1900026066; http://www.chictr.org.cn/showprojen.aspx?proj=43548

International Registered Report Identifier (IRRID)

PRR1-10.2196/18259

The emotional dance with depression: A longitudinal investigation of OULA® for depression in women

The primary purpose of this pilot study was to evaluate OULA®, a dance fitness program with a strong emphasis on processing emotions through dance, as an intervention for depression in women diagnosed with major or persistent depressive disorders. 53 women were eligible for participation. Women attended OULA® for 12 weeks and then abstained from OULA® during week 13. For the primary outcome, depression severity was measured using the Hamilton Depression Rating Scale (HAM-D), and secondary outcomes were measured using the Beck Anxiety Index (BAI) and the Subjective Happiness Scale (SHS). After the abstinence week, women were offered 3-months of optional additional OULA®. HAM-D, BAI and SHS scores were collected at weeks 2, 4, 5-14 and at the end of the 3-month optional OULA® phase. Results from linear mixed effects repeated models show that during the 12-week intervention period and at week 26, HAM-D scores significantly decrease each week compared to baseline. Further, BAI scores significantly decrease starting at week 5 and through the end of the intervention period and at week 26. Moreover, SHS scores increased significantly for four of the weeks during the intervention period and at week 26. The results from this study suggest that OULA® may be a useful intervention for decreasing depression and anxiety severity in women with depression but may not be helpful for improving subjective happiness.

Psychedelic-assisted psychotherapy for depression: How dire is the need? How could we do it?

Despite the popular support for psychedelics as aids for depression, academics and the public frequently overestimate the efficacy of available medications and psychotherapies. Metaanalyses reveal that antidepressant medications alone help only one in four patients and rarely surpass credible placebos. Their effects, though statistically significant, might not impress depressed patients themselves. Psychotherapies create better outcomes than antidepressant drugs alone; combining the two provides measurable advantages. Nevertheless, the best combinations help only 65% of the clients who complete treatment. The drugs create side-effects and withdrawal surprisingly more severe than professional guidelines imply, too. Psychedelics appear to improve depression through some of the same mechanisms as psychotherapy, as well as some novel ones, suggesting that the combination could work very well. In addition, subjective experiences during the psychedelic sessions covary with improvement. Guiding clients to focus on these targeted thoughts and feelings could improve outcome. These data underscore the serious need for clinical trials of psychedelic-assisted, empirically supported treatment for depression with guided experiences during the psychedelic session. These trials would require important components to maximize their impact, including meaningful preparatory sessions designed to enhance motivation and explain empirically supported approaches, guided administration sessions that focus on oceanic boundlessness, integration sessions that support progress, and follow-up sessions consistent with established research. This combination involves markedly more than a simple pairing of medication and talk therapy, but proper application could have an unparalleled impact on public health.

Dynamic interpersonal therapy for moderate to severe depression: a pilot randomized controlled and feasibility trial

BACKGROUND

Improving Access to Psychological Therapies (IAPT) services treat most patients in England who present to primary care with major depression. Psychodynamic psychotherapy is one of the psychotherapies offered. Dynamic Interpersonal Therapy (DIT) is a psychodynamic and mentalization-based treatment for depression. 16 sessions are delivered over approximately 5 months. Neither DIT's effectiveness relative to low-intensity treatment (LIT), nor the feasibility of randomizing patients to psychodynamic or cognitive-behavioural treatments (CBT) in an IAPT setting has been demonstrated.

METHODS

147 patients were randomized in a 3:2:1 ratio to DIT (n = 73), LIT (control intervention; n = 54) or CBT (n = 20) in four IAPT treatment services in a combined superiority and feasibility design. Patients meeting criteria for major depressive disorder were assessed at baseline, mid-treatment (3 months) and post-treatment (6 months) using the Hamilton Rating Scale for Depression (HRSD-17), Beck Depression Inventory-II (BDI-II) and other self-rated questionnaire measures. Patients receiving DIT were also followed up 6 months post-completion.

RESULTS

The DIT arm showed significantly lower HRSD-17 scores at the 6-month primary end-point compared with LIT (d = 0.70). Significantly more DIT patients (51%) showed clinically significant change on the HRSD-17 compared with LIT (9%). The DIT and CBT arms showed equivalence on most outcomes. Results were similar with the BDI-II. DIT showed benefit across a range of secondary outcomes.

CONCLUSIONS

DIT delivered in a primary care setting is superior to LIT and can be appropriately compared with CBT in future RCTs.

Positive Psychology for Overcoming Symptoms of Depression: A Pilot Study Exploring the Efficacy of a Positive Psychology Self-Help Book versus a CBT Self-Help Book

BACKGROUND

Depression is an extremely common mental health disorder, with prevalence rates rising. Low-intensity interventions are frequently used to help meet the demand for treatment. Bibliotherapy, for example, is often prescribed via books on prescription schemes (for example 'Reading Well' in England) to those with mild to moderate symptomology. Bibliotherapy can effectively reduce symptoms of depression (Naylor et al., 2010). However, the majority of self-help books are based on cognitive behavioural therapy (CBT), which may not be suitable for all patients. Research supports the use of positive psychology interventions for the reduction of depression symptoms (Bolier et al., 2013) and as such self-help books from this perspective should be empirically tested.

AIMS

This study aimed to test the efficacy of 'Positive Psychology for Overcoming Depression' (Akhtar, 2012), a self-help book for depression that is based on the principles of positive psychology, in comparison with a CBT self-help book that is currently prescribed in England as part of the Reading Well books on prescription scheme.

METHOD

Participants (n = 115) who were not receiving treatment, but had symptoms of depression, read the positive psychology or the CBT self-help book for 8 weeks. Depression and well-being were measured at baseline, post-test and 1-month follow-up.

RESULTS

Results suggest that both groups experienced a reduction in depression and an increase in well-being, with no differences noted between the two books.

CONCLUSIONS

Future directions are discussed in terms of dissemination, to those with mild to moderate symptoms of depression, via books on prescription schemes.

Attitudes of palliative care clinical staff toward prolonged grief disorder diagnosis and grief interventions

ABSTRACTObjective:The provision of psychological support to caregivers is an important part of the role of the clinical staff working in palliative care. Staff knowledge and attitudes may determine their openness to referring caregivers to a psychological intervention. We recently developed a self-help intervention for grief and psychological distress among caregivers and were interested in exploring the extent to which staff knowledge and attitudes might affect future implementation. The aims of our study were to: (1) examine the acceptability of self-help psychological intervention for caregivers among palliative care clinical staff; (2) examine potential attitudinal barriers toward prolonged grief disorder (PGD) as a diagnosis and interventions for grief; and (3) bolster staff confidence in skills and knowledge in identifying and managing caregiver psychological distress.

METHOD

An anonymous survey was distributed among clinical staff at two inpatient units and two community health services that assessed the acceptability of self-help interventions for caregivers, attitudes about PGD diagnosis and grief intervention, and staff confidence in skills and knowledge in assessing caregiver psychological distress.

RESULTS

Overall, clinical staff were positively oriented toward self-help for caregivers and intervention for grief. They were also basically confident in their skills and knowledge. While it was positive PGD attitudes that were associated with acceptability of self-help for caregivers, it was both positive and negative PGD attitudes that were associated more specifically with a willingness to refer caregivers to such an intervention.

SIGNIFICANCE OF RESULTS

Our findings are useful in highlighting the issues to be considered in the implementation of a self-help intervention within the healthcare service. Clinical staff seemed positively oriented toward engaging with a psychological intervention for caregivers and likely to act as key allies in implementation.

Salivary Cortisol Levels and Depressive Symptomatology in Consumers and Nonconsumers of Self-Help Books: A Pilot Study

The self-help industry generates billions of dollars yearly in North America. Despite the popularity of this movement, there has been surprisingly little research assessing the characteristics of self-help books consumers, and whether this consumption is associated with physiological and/or psychological markers of stress. The goal of this pilot study was to perform the first psychoneuroendocrine analysis of consumers of self-help books in comparison to nonconsumers. We tested diurnal and reactive salivary cortisol levels, personality, and depressive symptoms in 32 consumers and nonconsumers of self-help books. In an explorative secondary analysis, we also split consumers of self-help books as a function of their preference for problem-focused versus growth-oriented self-help books. The results showed that while consumers of growth-oriented self-help books presented increased cortisol reactivity to a psychosocial stressor compared to other groups, consumers of problem-focused self-help books presented higher depressive symptomatology. The results of this pilot study show that consumers with preference for either problem-focused or growth-oriented self-help books present different physiological and psychological markers of stress when compared to nonconsumers of self-help books. This preliminary study underlines the need for additional research on this issue in order to determine the impact the self-help book industry may have on consumers' stress.