Clinical effectiveness of online computerised cognitive-behavioural therapy without support for depression in primary care: randomised trial

Are cognitive behavioural therapy, cognitive therapy, and behavioural activation for depression effective in primary care? A systematic review and meta-analysis

Cognitive behavioural therapy (CBT) is a recommended first-line treatment for depression. Evidence mainly derives from studies in secondary care, though most treatment occurs in primary care. This review examined efficacy of CBT, cognitive therapy (CT), or behavioural activation (BA) for depression within primary care. Databases were searched for trials up to 23rd July 2024. Risk of bias was assessed using the Cochrane risk-of-bias tool, version 2.0.44 studies were included. CBT, CT, and BA significantly reduced depression symptoms compared to inactive controls (k = 40, g = 0.44, p < .001), but not active comparators (other therapies, medication or exercise) (k = 9, g = -0.06, p = .24). Heterogeneity was significant in studies comparing CBT, CT, or BA to inactive controls, but not in studies using active comparators. Most studies were rated at high risk of bias (36 studies, 81.8 %), predominantly due to use of patient-rated outcome measures in non-blinded studies, lack of ITT analyses, and lack of pre-registering protocols, all of which may result in inflated effect sizes. Although CBT, CT, or BA appears effective for depression in primary care against usual care or waiting list controls, when compared to active comparators no significant difference is seen, likely a result of variability in the quality of the included studies. Large studies of improved quality (including use of blinded observer-rated outcome measures and ITT analyses) may be required to justify guideline recommendations for CBT over other interventions for depression specifically in primary care.

Clinician Knowledge of and Attitudes Toward Guided Self-Help

The current study evaluated knowledge of and attitudes toward guided self-help (GSH) among clinicians who use evidence-based practices to treat one or more of the following: panic disorder, major depressive disorder, bulimia nervosa, binge-eating disorder, and generalized anxiety disorder. A total of 153 of 256 individuals recruited online and at professional conferences were eligible. This study assessed prior experience with and knowledge of GSH, as well as hypothetical use with a mock patient. Less than 20% of clinicians had ever used GSH, and fewer had used it as a stand-alone treatment. Given a mock patient reporting moderate symptoms, clinicians indicated a 53.62% likelihood that they would use GSH. Exploratory analyses indicated that hypothetical use was predicted by prior use of GSH as well as the Openness subscale of the Evidence-Based Practice Attitude Scale. Study findings suggest that clinicians using evidence-based practices do not uniformly know of or endorse the use of GSH. Lack of training in GSH was one of the most frequently endorsed barriers to implementing GSH in clinical practice (n = 99, 64%). These findings have implications for the use of therapy formats that scale evidence-based treatments in the United States.

Heterogeneity of Treatment Effects in Internet- and Mobile-Based Interventions for Depression: A Systematic Review and Meta-Analysis

Importance

While the effects of internet- and mobile-based interventions (IMIs) for depression have been extensively studied, no systematic evidence is available regarding the heterogeneity of treatment effects (HTEs), indicating to what extent patient-by-treatment interactions exist and personalized treatment models might be necessary.

Objective

To investigate the HTEs in IMIs for depression as well as their efficacy and effectiveness.

Data Sources

A systematic search in Embase, MEDLINE, Central, and PsycINFO for randomized clinical trials and supplementary reference searches was conducted on October 13, 2019, and updated March 25, 2022. The search string included various terms related to digital psychotherapy, depression, and randomized clinical trials.

Study Selection

Titles, abstracts, and full texts were reviewed by 2 independent researchers. Studies of all populations with at least 1 intervention group receiving an IMI for depression and at least 1 control group were eligible, if they assessed depression severity as a primary outcome and followed a randomized clinical trial (RCT) design.

Data Extraction and Synthesis

This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines. Risk of bias was evaluated using the Cochrane Risk of Bias Tool. HTE was investigated using logarithmic variance ratios (lnVR) and effect sizes using Hedges g. Three-level bayesian meta-regressions were conducted.

Main Outcomes and Measures

Heterogeneity of treatment effects was the primary outcome of this study; magnitudes of treatment effect sizes were the secondary outcome. Depression severity was measured by different self-report and clinician-rated scales in the included RCTs.

Results

The systematic review of 102 trials included 19 758 participants (mean [SD] age, 39.9 [10.58] years) with moderate depression severity (mean [SD] in Patient Health Questionnaire-9 score, 12.81 [2.93]). No evidence for HTE in IMIs was found (lnVR = -0.02; 95% credible interval [CrI], -0.07 to 0.03). However, HTE was higher in more severe depression levels (β̂ = 0.04; 95% CrI, 0.01 to 0.07). The effect size of IMI was medium (g = -0.56; 95% CrI, -0.46 to -0.66). An interaction effect between guidance and baseline severity was found (β̂ = -0.24, 95% CrI, -0.03 to -0.46).

Conclusions and Relevance

In this systematic review and meta-analysis of RCTs, no evidence for increased patient-by-treatment interaction in IMIs among patients with subthreshold to mild depression was found. Guidance did not increase effect sizes in this subgroup. However, the association of baseline severity with HTE and its interaction with guidance indicates a more sensitive, guided, digital precision approach would benefit individuals with more severe symptoms. Future research in this population is needed to explore personalization strategies and fully exploit the potential of IMI.

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.

Race, Ethnicity, and Other Cultural Background Factors in Trials of Internet-Based Cognitive Behavioral Therapy for Depression: Systematic Review

BACKGROUND

There is a growing interest in developing scalable interventions, including internet-based cognitive behavioral therapy (iCBT), to meet the increasing demand for mental health services. Given the growth in diversity worldwide, it is essential that the clinical trials of iCBT for depression include diverse samples or, at least, report information on the race, ethnicity, or other background indicators of their samples. Unfortunately, the field lacks data on how well diversity is currently reported and represented in the iCBT literature.

OBJECTIVE

Thus, the main objective of this systematic review was to examine the overall reporting of racial and ethnic identities in published clinical trials of iCBT for depression. We also aimed to review the representation of specific racial and ethnic minoritized groups and the inclusion of alternative background indicators such as migration status or country of residence.

METHODS

Studies were included if they were randomized controlled trials in which iCBT was compared to a waiting list, care-as-usual, active control, or another iCBT. The included papers also had to have a focus on acute treatment (eg, 4 weeks to 6 months) of depression, be delivered via the internet on a website or a smartphone app and use guided or unguided self-help. Studies were initially identified from the METAPSY database (n=59) and then extended to include papers up to 2022, with papers retrieved from Embase, PubMed, PsycINFO, and Cochrane (n=3). Risk of bias assessment suggested that reported studies had at least some risk of bias due to use of self-report outcome measures.

RESULTS

A total of 62 iCBT randomized controlled trials representing 17,210 participants are summarized in this study. Out of those 62 papers, only 17 (27%) of the trials reported race, and only 12 (19%) reported ethnicity. Reporting outside of the United States was very poor, with the United States accounting for 15 (88%) out of 17 of studies that reported race and 9 (75%) out of 12 for ethnicity. Out of 3,623 participants whose race was reported in the systematic review, the racial category reported the most was White (n=2716, 74.9%), followed by Asian (n=209, 5.8%) and Black (n=274, 7.6%). Furthermore, only 25 (54%) out of the 46 papers conducted outside of the United States reported other background demographics.

CONCLUSIONS

It is important to note that the underreporting observed in this study does not necessarily indicate an underrepresentation in the actual study population. However, these findings highlight the poor reporting of race and ethnicity in iCBT trials for depression found in the literature. This lack of diversity reporting may have significant implications for the scalability of these interventions.

Assessing Patient Adherence to and Engagement With Digital Interventions for Depression in Clinical Trials: Systematic Literature Review

BACKGROUND

New approaches to the treatment of depression are necessary for patients who do not respond to current treatments or lack access to them because of barriers such as cost, stigma, and provider shortage. Digital interventions for depression are promising; however, low patient engagement could limit their effectiveness.

OBJECTIVE

This systematic literature review (SLR) assessed how participant adherence to and engagement with digital interventions for depression have been measured in the published literature, what levels of adherence and engagement have been reported, and whether higher adherence and increased engagement are linked to increased efficacy.

METHODS

We focused on a participant population of adults (aged ≥18 years) with depression or major depressive disorder as the primary diagnosis and included clinical trials, feasibility studies, and pilot studies of digital interventions for treating depression, such as digital therapeutics. We screened 756 unique records from Ovid MEDLINE, Embase, and Cochrane published between January 1, 2000, and April 15, 2022; extracted data from and appraised the 94 studies meeting the inclusion criteria; and performed a primarily descriptive analysis. Otsuka Pharmaceutical Development & Commercialization, Inc (Princeton, New Jersey, United States) funded this study.

RESULTS

This SLR encompassed results from 20,111 participants in studies using 47 unique web-based interventions (an additional 10 web-based interventions were not described by name), 15 mobile app interventions, 5 app-based interventions that are also accessible via the web, and 1 CD-ROM. Adherence was most often measured as the percentage of participants who completed all available modules. Less than half (44.2%) of the participants completed all the modules; however, the average dose received was 60.7% of the available modules. Although engagement with digital interventions was measured differently in different studies, it was most commonly measured as the number of modules completed, the mean of which was 6.4 (means ranged from 1.0 to 19.7) modules. The mean amount of time participants engaged with the interventions was 3.9 (means ranged from 0.7 to 8.4) hours. Most studies of web-based (34/45, 76%) and app-based (8/9, 89%) interventions found that the intervention group had substantially greater improvement for at least 1 outcome than the control group (eg, care as usual, waitlist, or active control). Of the 14 studies that investigated the relationship between engagement and efficacy, 9 (64%) found that increased engagement with digital interventions was significantly associated with improved participant outcomes. The limitations of this SLR include publication bias, which may overstate engagement and efficacy, and low participant diversity, which reduces the generalizability.

CONCLUSIONS

Patient adherence to and engagement with digital interventions for depression have been reported in the literature using various metrics. Arriving at more standardized ways of reporting adherence and engagement would enable more effective comparisons across different digital interventions, studies, and populations.

The Traumatic Grief Inventory-Clinician Administered: A psychometric evaluation of a new interview for ICD-11 and DSM-5-TR prolonged grief disorder severity and probable caseness

BACKGROUND

There is a need for an interview-based measure to assess Prolonged Grief Disorder (PGD) included in the text revision of the fifth Diagnostic and Statistical Manual for Mental Disorder (DSM-5-TR) and 11th edition of the International Classification of Disease (ICD-11). We evaluated the psychometric properties of the Traumatic Grief Inventory-Clinician Administered (TGI-CA); a new interview measuring DSM-5-TR and ICD-11 PGD severity and probable caseness.

METHODS

In 211 Dutch and 222 German bereaved adults, the: (i) factor structure, (ii) internal consistency, (iii) test-retest reliability, (iv) measurement invariance across subgroups (e.g., differing in language), (v) prevalence of probable caseness, (vi) convergent validity, and (vii) known-groups validity were examined.

RESULTS

Confirmatory factor analyses (CFAs) showed acceptable fit for the unidimensional model for DSM-5-TR and ICD-11 PGD. Omega values indicated good internal consistency. Test-retest reliability was high. Multi-group CFAs demonstrated configural and metric invariance for DSM-5-TR and ICD-11 PGD criteria for all group-comparisons; for some we found support for scalar invariance. Rates of probable caseness for DSM-5-TR PGD were lower than ICD-11 PGD. Optimal agreement in probable caseness was reached when increasing the number of accessory symptoms for ICD-11 PGD from 1+ to 3+. Convergent and known-groups validity was demonstrated for both criteria-sets.

LIMITATIONS

The TGI-CA was developed to assess PGD severity and probable caseness. Clinical diagnostic interviews for PGD are needed.

CONCLUSIONS

The TGI-CA seems a reliable and valid interview for DSM-5-TR and ICD-11 PGD symptomatology. More research in larger and more diverse samples is needed to further test its psychometric properties.

A brief transdiagnostic group (the take control course) compared to individual low-intensity CBT for depression and anxiety: a randomized non-inferiority trial

Few studies have examined brief transdiagnostic groups. The Take Control Course (TCC) was developed for patients with mild to moderate common mental health problems. We examined whether TCC is non-inferior to individual low-intensity cognitive behaviour therapy (CBT) in a single-blind individually randomised parallel non-inferiority trial. The primary outcomes were depression (PHQ9) and anxiety (GAD7) at 6-month follow-up (primary outcome point) and 12-month follow-up. The non-inferiority margin that we set, based on previous trials, corresponds to approximately 3 points on the PHQ9 and approximately 2.5 points on the GAD7. Intention-to-treat (ITT) and per-protocol (PP) analyses of 6-month data of 156 randomised patients indicated that TCC was non-inferior to individual low-intensity CBT on anxiety (ITT Coefficient = 0.24; 95% CI: -1.45 to 1.92; d = 0.04; p = .79), and depression (ITT Coefficient = 0.82; 95% CI: -1.06 to 2.69; d = 0.14; p = .39) outcomes, and functioning (ITT Coefficient = 0.69; 95% CI: -2.56 to 3.94; d = 0.08; p = .68). The findings at 12 months were inconclusive and require further testing. This randomised trial provides preliminary support that TCC is not less effective than short-term individual CBT within Improving Access to Psychological Therapies (IAPT) services.

Influence of Initial Severity of Depression on the Effectiveness of a Multimodal Therapy on Depressive Score, Heart Rate Variability, and Hemodynamic Parameters

Depression is a major cause of disability among populations worldwide. Apart from primary symptoms, depressed patients often have a higher cardiovascular risk profile. Multimodal therapy concepts, including exercise, have emerged as promising approaches that not only improve depressive symptoms but also have a positive impact on cardiovascular risk profile. However, controversies have arisen concerning the influence of baseline severity on the effects of therapy concepts for this demographic. This study assessed whether pretreatment severity moderates psychological and physiological treatment outcomes of a multimodal therapy. A total of 16 patients diagnosed with mild depression (MD) and 14 patients diagnosed with severe depression (SD) took part in a 3-month outpatient multimodal treatment therapy. Before and after the treatment, depression score (Beck Depression Inventory (BDI)), peripheral systolic (pSBP) and diastolic (pDBP) blood pressure, central systolic (cSBP) and diastolic (cDBP) blood pressure, pulse wave velocity (PWV), heart rate (HR), and parasympathetic parameters of heart rate variability (RMSSD) were assessed. Significant time effects were detected for BDI (−20.0 ± 11.6, p > 0.001, η2 = 0.871), pSBP (−4.7 ± 6.8 mmHg, p < 0.001, η2 = 0.322), pDBP (−3.5 ± 6.9 mmHg, p = 0.01, η2 = 0.209), cSBP (−4.8 ± 6.5 mmHg, p < 0.001, η2 = 0.355), cDBP (−3.6 ± 6.8 mmHg, p = 0.008, η2 = 0.226), PWV (−0.13 ± 0.23 m/s, p = 0.008, η2 = 0.229), HR (4.3 ± 8.8 min−1, p = 0.015, η2 = 0.193), RMSSD (−12.2 ± 23.9 ms, p = 0.017, η2 = 0.251), and and SDNN (10.5 ± 17.8 ms, p = 0.005, η2 = 0.330). Significant time × group interaction could be revealed for BDI (p < 0.001, η2 = 0.543), with patients suffering from SD showing stronger reductions. Pretreatment severity of depression has an impact on the effectiveness of a multimodal therapy regarding psychological but not physiological outcomes.

Feasibility, engagement, and preliminary clinical outcomes of a digital biodata-driven intervention for anxiety and depression

Hypothesis

The main hypothesis is that a digital, biodata-driven, and personalized program would exhibit high user retention and engagement, followed by more effective management of their depressive and anxiety symptoms.

Objective

This pilot study explores the feasibility, acceptability, engagement, and potential impact on depressive and anxiety and quality of life outcomes of the 16-week Feel Program. Additionally, it examines potential correlations between engagement and impact on mental health outcomes.

Methods

This single-arm study included 48 adult participants with mild or moderate depressive or anxiety symptoms who joined the 16-week Feel Program, a remote biodata-driven mental health support program created by Feel Therapeutics. The program uses a combination of evidence-based approaches and psychophysiological data. Candidates completed an online demographics and eligibility survey before enrolment. Depressive and anxiety symptoms were measured using the Patient Health Questionnaire and Generalized Anxiety Disorder Scale, respectively. The Satisfaction with Life Scale and the Life Satisfaction Questionnaire were used to assess quality of life. User feedback surveys were employed to evaluate user experience and acceptability.

Results

In total, 31 participants completed the program with an overall retention rate of 65%. Completed participants spent 60 min in the app, completed 13 Mental Health Actions, including 5 Mental Health Exercises and 4.9 emotion logs on a weekly basis. On average, 96% of the completed participants were active and 76.8% of them were engaged with the sensor during the week. Sixty five percent of participants reported very or extremely high satisfaction, while 4 out of 5 were very likely to recommend the program to someone. Additionally, 93.5% of participants presented a decrease in at least one of the depressive or anxiety symptoms, with 51.6 and 45% of participants showing clinically significant improvement, respectively. Finally, our findings suggest increased symptom improvement for participants with higher engagement throughout the program.

Conclusions

The findings suggest that the Feel Program may be feasible, acceptable, and valuable for adults with mild or moderate depressive and/or anxiety symptoms. However, controlled trials with bigger sample size, inclusion of a control group, and more diverse participant profiles are required in order to provide further evidence of clinical efficacy.

Self-guided online therapeutic assessment in substance abuse care: A Conflict Analysis implementation and feasibility case study

"Michael" is a 60-year-old Black male receiving substance abuse treatment at a Veterans Affairs hospital. As part of Michael's care, he participated in an implementation and feasibility trial evaluating Conflict Analysis (CA), a self-guided online therapeutic assessment. CA leverages innovative diagnostic and therapeutic resources to improve client engagement and therapeutic achievement. CA employs narrative formats, encouraging patients to frame experiences within personal vocabulary, and provides personalized feedback automatically extracted from patient responses. CA is self-guided, widely accessible, and has few costs. Paper presents Michael's protocol, associated therapeutic outcome measures, and psychologist's evaluation of CA benefits. Michael completed brief online CA deployment containing a wellness-based personality inventory, four narrative tasks, and an interactive feedback template. Michael completed insight, stress, depression, wellbeing, and perceived diagnostic and therapeutic benefit measures at baseline, post, and three-week follow-up. Interventions took 2.5 h. Attending psychologist reviewed CA protocols and completed diagnostic and therapeutic questionnaires. Michael's record identifies elevated dominance. Protocol highlights Michael's drinking as mechanism to lessen social anxieties, anger, and competitiveness. Results suggest CA encouraged increased motivation to change, treatment engagement, and reduced depression. Psychologist rated benefit at maximum threshold. Implications include improving assessment efficacy, increasing online care opportunities, and expanding CA research.

Traumatic stress, depression, and non-bereavement grief following non-fatal traffic accidents: Symptom patterns and correlates

Non-fatal traffic accidents may give rise to mental health problems, including posttraumatic stress (PTS) and depression. Clinical evidence suggests that victims may also experience grief reactions associated with the sudden changes and losses caused by such accidents. The aim of this study was to examine whether there are unique patterns of symptoms of PTS, depression, and grief among victims of non-fatal traffic accidents. We also investigated associations of emerging symptom patterns with sociodemographic variables and characteristics of the accident, and with transdiagnostic variables, including self-efficacy, difficulties in emotion regulation, and trauma rumination. Participants (N = 328, Mage = 32.6, SDage = 17.5 years, 66% female) completed self-report measures tapping the study variables. Using latent class analysis (including symptoms of PTS, depression, and grief), three classes were identified: a no symptoms class (Class 1; 59.1%), a moderate PTS and grief class (Class 2; 23.1%), and a severe symptoms class (Class 3; 17.7%). Summed symptom scores and functional impairment were lowest in Class 1, higher in Class 2, and highest in Class 3. Psychological variables were similarly ordered with the healthiest scores in Class 1, poorer scores in Class 2, and the worst scores in Class 3. Different sociodemographic and accident related variables differentiated between classes, including age, education, and time since the accident. In a regression including all significant univariate predictors, trauma rumination differentiated Class 2 from Class 1, all three psychological variables differentiated Class 3 from Class 1, and difficulties with emotion regulation and trauma rumination differentiated Class 3 from Class 2. This study demonstrates that most people respond resiliently to non-fatal traffic accident. Yet, approximately one in three victims experiences moderate to severe mental health symptoms. Increasing PTS coincided with similarly increasing grief, indicating that grief may be considered in interventions for victims of traffic accidents. Trauma rumination strongly predicted class membership and appears a critical treatment target to alleviate distress.

Effect of Computer-Assisted Cognitive Behavior Therapy vs Usual Care on Depression Among Adults in Primary Care: A Randomized Clinical Trial

IMPORTANCE

Depression is a common disorder that may go untreated or receive suboptimal care in primary care settings. Computer-assisted cognitive behavior therapy (CCBT) has been proposed as a method for improving access to effective psychotherapy, reducing cost, and increasing the convenience and efficiency of treatment for depression.

OBJECTIVES

To evaluate whether clinician-supported CCBT is more effective than treatment as usual (TAU) in primary care patients with depression and to examine the feasibility and implementation of CCBT in a primary care population with substantial numbers of patients with low income, limited internet access, and low levels of educational attainment.

DESIGN, SETTING, AND PARTICIPANTS

This randomized clinical trial included adult primary care patients from clinical practices at the University of Louisville who scored 10 or greater on the Patient Health Questionnaire-9 (PHQ-9) and were randomly assigned to CCBT or TAU for 12 weeks of active treatment. Follow-up assessments were conducted 3 and 6 months after treatment completion. Enrollment occurred from June 24, 2016, to May 13, 2019. The last follow-up assessment was conducted on January 30, 2020.

INTERVENTIONS

CCBT included use of the 9-lesson computer program Good Days Ahead, along with as many as 12 weekly telephonic support sessions of approximately 20 minutes with a master's level therapist, in addition to TAU, which consisted of the standard clinical management procedures at the primary care sites. TAU was uncontrolled, but use of antidepressants and psychotherapy other than CCBT was recorded.

MAIN OUTCOMES AND MEASURES

The primary outcome measure (PHQ-9) and secondary outcome measures (Automatic Thoughts Questionnaire for negative cognitions, Generalized Anxiety Disorder-7, and the Satisfaction with Life Scale for quality of life) were administered at baseline, 12 weeks, and 3 and 6 months after treatment completion. Satisfaction with treatment was assessed with the Client Satisfaction Questionnaire-8.

RESULTS

The sample of 175 patients was predominately female (147 of 174 [84.5%]) and had a high proportion of individuals who identified as racial and ethnic minority groups (African American, 44 of 162 patients who reported [27.2%]; American Indian or Alaska Native, 2 [1.2%]; Hispanic, 4 [2.5%]; multiracial, 14 [8.6%]). An annual income of less than $30 000 was reported by 88 of 143 patients (61.5%). Overall, 95 patients (54.3%) were randomly assigned to CCBT and 80 (45.7%) to TAU. Dropout rates were 22.1% for CCBT (21 patients) and 30.0% for TAU (24 patients). An intent-to-treat analysis found that CCBT led to significantly greater improvement in PHQ-9 scores than TAU at posttreatment (mean difference, -2.5; 95% CI, -4.5 to -0.8; P = .005) and 3 month (mean difference, -2.3; 95% CI, -4.5 to -0.8; P = .006) and 6 month (mean difference, -3.2; 95% CI, -4.5 to -0.8; P = .007) follow-up points. Posttreatment response and remission rates were also significantly higher for CCBT (response, 58.4% [95% CI, 46.4-70.4%]; remission, 27.3% [95% CI, 16.4%-38.2%]) than TAU (response, 33.1% [95% CI, 20.7%-45.5%]; remission, 12.0% [95% CI, 3.3%- 20.7%]).

CONCLUSIONS AND RELEVANCE

In this randomized clinical trial, CCBT was found to have significantly greater effects on depressive symptoms than TAU in primary care patients with depression. Because the study population included people with lower income and lack of internet access who typically have been underrepresented or not included in earlier investigations of CCBT, results suggest that this form of treatment can be acceptable and useful in diverse primary care settings. Additional studies with larger samples are needed to address implementation procedures that could enhance the effectiveness of CCBT and to examine potential factors associated with treatment outcome.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02700009.

A Latent Class Analysis on Symptoms of Prolonged Grief, Post-Traumatic Stress, and Depression Following the Loss of a Loved One

BACKGROUND

The loss of a significant other can lead to variety of responses, including prolonged grief disorder (PGD), posttraumatic stress disorder (PTSD), and depression. The aim of this study was to replicate and extend previous research that indicated that three subgroups of bereaved individuals can be distinguished based one similar post-loss symptom profiles using latent class analysis (LCA). The second aim was to examine whether sociodemographic and loss-related characteristics as well as the extent of meaning making were related to classes with more pervasive psychopathology.

METHODS

Telephone-based interviews with 433 Dutch and German speaking persons who had lost a significant other at last 6 months earlier were conducted. Self-rated PGD, PTSD, and depression symptoms were assessed. LCA was conducted and correlates of class-membership were examined using the 3step approach.

RESULTS

The LCA resulted in three distinct classes: a no symptoms class (47%), a moderate PGD, low depression/PTSD class (32%), and a high PGD, moderate depression/PTSD class (21%). A multivariate analysis indicated that female gender, a shorter time since loss, an unexpected loss and less meaning made to a loss were significantly associated with membership to the moderate PGD, low depression/PTSD and high PGD, moderate depression/PTSD class compared to membership to the no symptom class. Losing a child or spouse, a shorter time since loss, and having made less meaning to the loss further distinguished between the high PGD, moderate depression/PTSD symptom class and the moderate PGD, low depression/PTSD class.

DISCUSSION

We found that the majority of individuals coped well in response to their loss since the no symptom class was the largest class. Post-loss symptoms could be categorized into classes marked by different intensity of symptoms, rather than qualitatively different symptom patterns. The findings indicate that perceiving the loss as more unexpected, finding less meaning in the loss, and loss-related factors, such as the recentness of a loss and the loss of a partner or child, were related to class membership more consistently than sociodemographic factors.

Examining the Effectiveness of Gamification in Mental Health Apps for Depression: Systematic Review and Meta-analysis

BACKGROUND

Previous research showed that computerized cognitive behavioral therapy can effectively reduce depressive symptoms. Some mental health apps incorporate gamification into their app design, yet it is unclear whether features differ in their effectiveness to reduce depressive symptoms over and above mental health apps without gamification.

OBJECTIVE

The aim of this study was to determine whether mental health apps with gamification elements differ in their effectiveness to reduce depressive symptoms when compared to those that lack these elements.

METHODS

A meta-analysis of studies that examined the effect of app-based therapy, including cognitive behavioral therapy, acceptance and commitment therapy, and mindfulness, on depressive symptoms was performed. A total of 5597 articles were identified via five databases. After screening, 38 studies (n=8110 participants) remained for data extraction. From these studies, 50 total comparisons between postintervention mental health app intervention groups and control groups were included in the meta-analysis.

RESULTS

A random effects model was performed to examine the effect of mental health apps on depressive symptoms compared to controls. The number of gamification elements within the apps was included as a moderator. Results indicated a small to moderate effect size across all mental health apps in which the mental health app intervention effectively reduced depressive symptoms compared to controls (Hedges g=-0.27, 95% CI -0.36 to -0.17; P<.001). The gamification moderator was not a significant predictor of depressive symptoms (β=-0.03, SE=0.03; P=.38), demonstrating no significant difference in effectiveness between mental health apps with and without gamification features. A separate meta-regression also did not show an effect of gamification elements on intervention adherence (β=-1.93, SE=2.28; P=.40).

CONCLUSIONS

The results show that both mental health apps with and without gamification elements were effective in reducing depressive symptoms. There was no significant difference in the effectiveness of mental health apps with gamification elements on depressive symptoms or adherence. This research has important clinical implications for understanding how gamification elements influence the effectiveness of mental health apps on depressive symptoms.

Remote delivery of cognitive behavioral therapy to patients with functional neurological disorders: Promise and challenges

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CBT is a promising treatment for patients with FND.

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Remote delivery of CBT can potentially increase access to care for patients with FND.

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Remote CBT can be integrated into clinical practice using a stepwise approach.

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Remote CBT can be integrated into practice using patient predictive factors.

Functional neurological disorders (FND) are an important source of healthcare utilization and morbidity. While there are no formal guidelines for treating these disorders, cognitive behavioral therapy (CBT) is emerging as a safe and effective treatment. Currently, there is a global shortage of CBT providers, with only a small subset trained in and comfortable with treating patients with FND. We highlight four types of remote CBT delivery to patients with FND to alleviate the access obstacle: workbooks, internet-guided CBT, app-based CBT, and teletherapy. CBT workbooks and teletherapy have been studied in FND, with preliminary studies suggesting efficacy; internet-guided CBT and app-based CBT have not but have been effectively used in patients with psychiatric disorders, particularly depression, anxiety, and post-traumatic disorders. As these disorders are often comorbid and share overlapping neurobiology with FND, internet-guided CBT and app-based CBT represent promising delivery options of CBT for FND. Although remotely-delivered CBT is unlikely to replace in-person CBT and there are technical and logistical challenges to overcome prior to widespread deployment, it holds promise as an adjunct treatment when in-person CBT is inaccessible. We propose a rational approach to future allocation of remote CBT treatment options and highlight important research gaps to bridge beforehand.

A pilot randomized clinical trial of Brief Behavioral Treatment for Insomnia to reduce problematic cannabis use among trauma-exposed young adults

BACKGROUND

Insomnia symptoms may be an important etiological factor for substance use disorders; however, whether improving sleep leads to reductions in problematic substance use among at-risk populations remains unclear.

METHOD

As such, the current pilot study used a randomized controlled design to test the effects of Brief Behavioral Treatment for Insomnia (BBTI) against a waitlist control among a sample of trauma-exposed young adults with elevated insomnia symptoms who regularly use cannabis (N = 56).

RESULTS

Intent-to-treat multilevel modeling analyses indicated that BBTI may be more efficacious than waitlist control in reducing self-reported insomnia symptoms, with large effects three months post-treatment (d = 1.34). Further, our initial evidence suggested that BBTI resulted in reductions in cannabis-related problems with medium to large effects at three months post-treatment (d = 0.75). The current pilot analyses indicated BBTI also reduced cravings to use cannabis to reduce negative emotions in response to trauma cues with a large effect size.

CONCLUSION

This pilot study suggests BBTI may be efficacious not only in improving insomnia symptoms among cannabis users but also in reducing cannabis-related problems and cravings over three months. Future research should replicate these results in a larger, fully powered sample with improved follow-up rates designed to test temporal mediation using multimethod assessments of insomnia symptoms and problematic cannabis use. Overall, BBTI may be a promising intervention for trauma-exposed cannabis users to improve sleep and reduce cannabis-related problems.

Exploring the Role of Persuasive Design in Unguided Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Among Adults: Systematic Review, Meta-analysis, and Meta-regression

BACKGROUND

Internet-delivered cognitive behavioral therapy (ICBT) is an effective treatment that can overcome barriers to mental health care. Various research groups have suggested that unguided ICBT (ie, ICBT without therapist support) and other eHealth interventions can be designed to enhance user engagement and thus outcomes. The persuasive systems design framework captures most design recommendations for eHealth interventions, but there is little empirical evidence that persuasive design is related to clinical outcomes in unguided ICBT.

OBJECTIVE

This study aims to provide an updated meta-analysis of randomized controlled trials of unguided ICBT for depression and anxiety, describe the frequency with which various persuasive design principles are used in such interventions, and use meta-regression to explore whether a greater number of persuasive design elements predicts efficacy in unguided ICBT for depression and anxiety.

METHODS

We conducted a systematic review of 5 databases to identify randomized controlled trials of unguided ICBT for depression and anxiety. We conducted separate random effects meta-analyses and separate meta-regressions for depression and anxiety interventions. Each meta-regression included 2 steps. The first step included, as a predictor, whether each intervention was transdiagnostic. For the meta-regression of ICBT for depression, the first step also included the type of control condition. The number of persuasive design principles identified for each intervention was added as a predictor in the second step to reveal the additional variance in effect sizes explained by persuasive design.

RESULTS

Of the 4471 articles we identified in our search, 46 (1.03%) were eligible for inclusion in our analyses. Our meta-analyses showed effect sizes (Hedges g) ranging from 0.22 to 0.31 for depression interventions, depending on the measures taken to account for bias in the results. We found a mean effect size of 0.45 (95% CI 0.33-0.56) for anxiety interventions, with no evidence that the results were inflated by bias. Included interventions were identified as using between 1 and 13 persuasive design principles, with an average of 4.95 (SD 2.85). The meta-regressions showed that a greater number of persuasive design principles predicted greater efficacy in ICBT for depression (R2 change=0.27; B=0.04; P=.02) but not anxiety (R2 change=0.05; B=0.03; P=.17).

CONCLUSIONS

These findings show wide variability in the use of persuasive design in unguided ICBT for depression and anxiety and provide preliminary support for the proposition that more persuasively designed interventions are more efficacious, at least in the treatment of depression. Further research is needed to clarify the role of persuasive design in ICBT.

Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis

Importance

Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them.

Objective

To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information.

Data Sources

We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019.

Study Selection

Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization.

Data Extraction and Synthesis

We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression.

Main Outcomes and Measures

Patient Health Questionnaire-9 (PHQ-9) scores.

Results

Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, -0.8; 95% CI, -1.4 to -0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9.

Conclusions and Relevance

In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.

Discovering Common Elements of Empirically Supported Self-Help Interventions for Depression in Primary Care: a Systematic Review

BACKGROUND

Although the efficacy of self-help cognitive-behavioral therapy (CBT) for depression has been well established, its feasibility in primary care settings is limited because of time and resource constraints. The goal of this study was to identify common elements of empirically supported (i.e., proven effective in controlled research) self-help CBTs and frameworks for effective use in practice.

METHODS

Randomized controlled trials (RCTs) for self-help CBTs for depression in primary care were systematically identified in Pubmed, PsycINFO, and CENTRAL. The distillation and matching model approach was used to abstract commonly used self-help techniques (practice elements). Study contexts associated with unique combinations of intervention elements were explored, including total human support dose (total face-to-face, telephone, and personalized email contact time recommended by the protocol), effective symptom domain (depression vs. general psychological distress), and severity of depression targeted by the study. Relative contribution to intervention success was estimated for individual elements and human support by conditional probability (CP, proportion of the number of times each element appeared in a successful intervention to the number of times it was used in the interventions identified by the review).

RESULTS

Twenty-one interventions (12 successful) in 20 RCTs and 21 practice elements were identified. Cognitive restructuring, behavioral activation, and homework assignment were elements appearing in > 80% of successful interventions. The dose of human support was positively associated with the proportion of interventions that were successful in a significant linear fashion (CPs: interventions with no support, 0.20; 1-119 min of support, 0.60; 120 min of support, 0.83; p = 0.042). In addition, human support increased the probability of success for most of the extracted elements. Only social support activation, homework assignment, and interpersonal skills were highly successful (CPs ≥ 0.60) when minimal support was provided.

DISCUSSION

These findings suggest that human support is an important component in creating an evidence-informed brief self-help program compatible with primary care settings.

Cognitive therapy compared with CBT for social anxiety disorder in adolescents: a feasibility study

BACKGROUND

Social anxiety disorder (SAD) is common, typically starts in adolescence and has a low natural recovery rate. Existing psychological treatments for adolescent SAD are only moderately effective. It is possible that recovery rates for adolescents could be substantially improved by adapting a psychological therapy that is highly effective among adults with SAD.

OBJECTIVES

To train child and adolescent mental health services (CAMHS) therapists to deliver cognitive therapy for SAD in adolescents (CT-SAD-A) and assess therapist competence. To estimate the costs to the NHS of training therapists to deliver CT-SAD-A and the mean cost per adolescent treated. To examine the feasibility of a randomised controlled trial (RCT) to compare CT-SAD-A with the general form of cognitive-behavioural therapy that is more commonly used.

DESIGN

During the training phase of the study, it became clear that the RCT would not be feasible because of high staff turnover and unfilled posts within CAMHS and changes in the nature of referrals, which meant that few young people with primary SAD were accessing some of the participating services. The study design was altered to comprise the following: a training case series of CT-SAD-A delivered in routine CAMHS, an estimate of the cost to the NHS of training therapists to deliver CT-SAD-A and of the mean cost per adolescent treated, and qualitative interviews with participating young people, parents, therapists and service managers/leads.

SETTING

Five CAMHS teams within Berkshire Healthcare and Oxford Health NHS Foundation Trusts.

PARTICIPANTS

Eight therapists received training in CT-SAD-A. Twelve young people received CT-SAD-A, delivered by six therapists. Six young people, six parents, seven therapists and three managers participated in qualitative interviews.

INTERVENTIONS

Cognitive therapy for social anxiety disorder in adolescents (CT-SAD-A).

MAIN OUTCOME MEASURES

Measured outcomes included social anxiety symptoms and diagnostic status, comorbid symptoms of anxiety and depression, social and general functioning, concentration in class and treatment acceptability. Patient level utilisation of the intervention was collected using clinicians' logs.

RESULTS

Nine out of 12 participants achieved good outcomes across measures (r ≥ 0.60 across social anxiety measures). The estimated cost of delivering CT-SAD-A was £1861 (standard deviation £358) per person. Qualitative interviews indicated that the treatment was acceptable to young people, parents and therapists, but therapists and managers experienced challenges when implementing the training and treatment within the current CAMHS context.

LIMITATIONS

Findings were based on a small, homogeneous sample and there was no comparison arm.

CONCLUSIONS

CT-SAD-A is a promising treatment for young people with SAD, but the current CAMHS context presents challenges for its implementation.

FUTURE WORK

Further work is needed to ensure that CAMHS can incorporate and test CT-SAD-A. Alternatively, CT-SAD-A should be delivered and tested in other settings that are better configured to treat young people whose lives are held back by SAD. The new schools Mental Health Support Teams envisaged in the 2017 Children's Mental Health Green Paper may provide such an opportunity.

FUNDING

The National Institute for Health Research (NIHR) Health Technology Assessment programme. Individual funding was also provided for Cathy Creswell, David M Clark and Eleanor Leigh as follows: NIHR Research Professorship (Cathy Creswell); Wellcome Senior Investigator Award (Anke Ehlers and David M Clark); and the Wellcome Clinical Research Training Fellowship (Eleanor Leigh).

Evidence on Technology-Based Psychological Interventions in Diagnosed Depression: Systematic Review

BACKGROUND

Evidence on technology-based psychological interventions (TBIs) for the treatment of depression is rapidly growing and covers a broad scope of research. Despite extensive research in this field, guideline recommendations are still limited to the general effectiveness of TBIs.

OBJECTIVE

This study aims to structure evidence on TBIs by considering different application areas (eg, TBIs for acute treatment and their implementation in health care, such as stand-alone interventions) and treatment characteristics (eg, therapeutic rationale of TBIs) to provide a comprehensive evidence base and to identify research gaps in TBIs for diagnosed depression. Moreover, the reporting of negative events in the included studies is investigated in this review to enable subsequent safety assessment of the TBIs.

METHODS

Randomized controlled trials on adults diagnosed with unipolar depression receiving any kind of psychotherapeutic treatment, which was at least partly delivered by a technical medium, were eligible for inclusion in our preregistered systematic review. We searched for trials in CENTRAL (Cochrane Central Register of Controlled Trials; until August 2020), MEDLINE, PsycINFO, PSYNDEX, CINAHL; until the end of January 2018), clinical trial registers, and sources of gray literature (until the end of January 2019). Study selection and data extraction were conducted by 2 review authors independently.

RESULTS

Database searches resulted in 15,546 records, of which 241 publications were included, representing 83 completed studies and 60 studies awaiting classification (ie, preregistered studies, study protocols). Almost all completed studies (78/83, 94%) addressed the acute treatment phase, being largely either implemented as stand-alone interventions (66/83, 80%) or blended treatment approaches (12/83, 14%). Studies on TBIs for aftercare (4/83, 5%) and for bridging waiting periods (1/83, 1%) were scarce. Most TBI study arms (n=107) were guided (59/107, 55.1%), delivered via the internet (80/107, 74.8%), and based on cognitive behavioral treatment approaches (88/107, 79.4%). Almost all studies (77/83, 93%) reported information on negative events, considering dropouts from treatment as a negative event. However, reports on negative events were heterogeneous and largely unsystematic.

CONCLUSIONS

Research has given little attention to studies evaluating TBIs for aftercare and for bridging waiting periods in people with depression, even though TBIs are seen as highly promising in these application areas; thus, high quality studies are urgently needed. In addition, the variety of therapeutic rationales on TBIs has barely been represented by identified studies hindering the consideration of patient preferences when planning treatment. Finally, future studies should use specific guidelines to systematically assess and report negative events.

TRIAL REGISTRATION

International Prospective Register of Systematic Reviews (PROSPERO) CRD42016050413; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42016050413.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1136/bmjopen-2018-028042.

Effectiveness and acceptance of technology-based psychological interventions for the acute treatment of unipolar depression: a systematic review and meta-analysis (Preprint)

Background

Evidence on technology-based psychological interventions (TBIs) for the acute treatment of depression is rapidly growing. Despite extensive research in this field, there is a lack of research determining effectiveness and acceptance of TBIs considering different application formats in people with a formally diagnosed depressive disorder.

Objective

The goal of the review was to investigate the effectiveness and acceptance of TBIs in people with diagnosed depression with particular focus on application formats (stand-alone interventions, blended treatments, collaborative and/or stepped care interventions).

Methods

Studies investigating adults with diagnosed unipolar depressive disorders receiving any kind of psychotherapeutic treatment delivered (at least partly) by a technical medium and conducted as randomized controlled trials (RCTs) were eligible for inclusion. We searched CENTRAL (Cochrane Central Register of Controlled Trials; August 2020), MEDLINE, PsycINFO, PSYNDEX, CINAHL (January 2018), clinical trial registers, and sources of grey literature (January 2019). Two independent authors decided about study inclusion and extracted data. We performed random effects meta-analyses to synthesize the data.

Results

Database searches resulted in 15,546 records of which 78 completed studies were included. TBIs delivered as stand-alone interventions showed positive effects on posttreatment depression severity when compared to treatment as usual (SMD –0.44, 95% CI –0.73 to –0.15, k=10; I²=86%), attention placebo (SMD –0.51, 95% CI –0.73 to –0.30; k=12; I²=66%), and waitlist controls (SMD –1.01, 95% CI –1.23 to –0.79; k=19; I²=73%). Superior long-term effects on depression severity were shown when TBIs were compared to treatment as usual (SMD –0.24, 95% CI –0.41 to –0.07; k=6; I²=48%) attention placebo (SMD –0.23, 95% CI –0.40 to –0.07; k=7; I²=21%) and waitlist controls (SMD –0.74, 95% CI –1.31 to –0.18; k=3; I²=79%). TBIs delivered as blended treatments (providing a TBI as an add-on to face-to-face treatment) yielded beneficial effects on posttreatment depression severity (SMD –0.27, 95% CI –0.48 to –0.05; k=8; I²=53%) compared to face-to-face treatments only. Additionally, TBIs delivered within collaborative care trials were more effective in reducing posttreatment (SMD –0.20, 95% CI –0.36 to –0.04; k=2; I²=0%) and long-term (SMD –0.23, 95% CI –0.39 to –0.07; k=2; I²=0%) depression severity than usual care. Dropout rates did not differ between the intervention and control groups in any comparison (all P≥.09).

Conclusions

We found that TBIs are effective not only when delivered as stand-alone interventions but also when they are delivered as blended treatments or in collaborative care trials for people with diagnosed depression. Our results may be useful to inform routine care, since we focused specifically on different application formats, formally diagnosed patients, and the long-term effectiveness of TBIs.

Trial Registration

PROSPERO International Prospective Register of Systematic Reviews CRD42016050413; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42016050413

International Registered Report Identifier (IRRID)

RR2-10.1136/bmjopen-2018-028042

Cost-Utility of Internet-Based Cognitive Behavioral Therapy in Unipolar Depression: A Markov Model Simulation

BACKGROUND AND OBJECTIVE

Unipolar depression is the most common form of depression and demand for treatment, such as psychotherapy, is high. However, waiting times for psychotherapy often considerably exceed their recommended maximum. As a potentially less costly alternative treatment, internet-based cognitive behavior therapy (ICBT) might help reduce waiting times. We therefore analyzed the cost-utility of ICBT compared to face-to-face CBT (FCBT) as an active control treatment, taking differences in waiting time into account.

METHODS

We constructed a Markov model to simulate costs and health outcomes measured in quality-adjusted life years (QALYs) for ICBT and FCBT in Germany. We modeled a time horizon of 3 years using six states (remission, depressed, spontaneous remission, undergoing treatment, treatment finished, death). The societal perspective was adopted. We obtained parameters for transition probabilities, depression-specific QoL, and cost data from the literature. Deterministic and probabilistic sensitivity analyses were conducted. Within a scenario analysis, we simulated different time-to-treatment combinations. Half-cycle correction was applied.

RESULTS

In our simulation, ICBT generated 0.260 QALYs and saved €2536 per patient compared to FCBT. Our deterministic sensitivity analysis suggests that the base-case results were largely unaffected by parameter uncertainty and are therefore robust. Our probabilistic sensitivity analysis suggests that ICBT is highly likely to be more effective (91.5%), less costly (76.0%), and the dominant strategy (69.7%) compared to FCBT. The scenario analysis revealed that the base-case results are robust to variations in time-to-treatment differences.

CONCLUSION

ICBT has a strong potential to balance demand and supply of CBT in unipolar depression by reducing therapist time per patient. It is highly likely to generate more QALYs and reduce health care expenditure. In addition, ICBT may have further positive external effects, such as freeing up capacities for the most severely depressed patients.

Efficacy of Three Low-Intensity, Internet-Based Psychological Interventions for the Treatment of Depression in Primary Care: Randomized Controlled Trial

Background

Primary care is a major access point for the initial treatment of depression, but the management of these patients is far from optimal. The lack of time in primary care is one of the major difficulties for the delivery of evidence-based psychotherapy. During the last decade, research has focused on the development of brief psychotherapy and cost-effective internet-based interventions mostly based on cognitive behavioral therapy (CBT). Very little research has focused on alternative methods of treatment for depression using CBT. Thus, there is a need for research into other therapeutic approaches.

Objective

This study aimed to assess the effectiveness of 3 low-intensity, internet-based psychological interventions (healthy lifestyle psychoeducational program [HLP], focused program on positive affect promotion [PAPP], and brief intervention based on mindfulness [MP]) compared with a control condition (improved treatment as usual [iTAU]).

Methods

A multicenter, 4-arm, parallel randomized controlled trial was conducted between March 2015 and March 2016, with a follow-up of 12 months. In total, 221 adults with mild or moderate major depression were recruited in primary care settings from 3 Spanish regions. Patients were randomly distributed to iTAU (n=57), HLP (n=54), PAPP (n=56), and MP (n=54). All patients received iTAU from their general practitioners. The main outcome was the Spanish version of the Patient Health Questionnaire-9 (PHQ-9) from pretreatment (time 1) to posttreatment (time 2) and up to 6 (time 3) and 12 (time 4) months’ follow-up. Secondary outcomes included the visual analog scale of the EuroQol, the Short-Form Health Survey (SF-12), the Positive and Negative Affect Schedule (PANAS), and the Pemberton Happiness Index (PHI). We conducted regression models to estimate outcome differences along study stages.

Results

A moderate decrease was detected in PHQ-9 scores from HLP (β=–3.05; P=.01) and MP (β=–3.00; P=.01) compared with iTAU at posttreatment. There were significant differences between all intervention groups and iTAU in physical SF-12 scores at 6 months after treatment. Regarding well-being, MP and PAPP reported better PHI results than iTAU at 6 months post treatment. PAPP intervention significantly decreased PANAS negative affect scores compared with iTAU 12 months after treatment.

Conclusions

The low-intensity, internet-based psychological interventions (HLP and MP) for the treatment of depression in primary care are more effective than iTAU at posttreatment. Moreover, all low-intensity psychological interventions are also effective in improving medium- and long-term quality of life. PAPP is effective for improving health-related quality of life, negative affect, and well-being in patients with depression. Nevertheless, it is important to examine possible reasons that could be implicated for PAPP not being effective in reducing depressive symptomatology; in addition, more research is still needed to assess the cost-effectiveness analysis of these interventions.

Trial Registration

ISRCTN Registry ISRCTN82388279; http://www.isrctn.com/ISRCTN82388279

International Registered Report Identifier (IRRID)

RR2-10.1186/s12888-015-0475-0

Artificial Intelligence and Primary Care Research: A Scoping Review

PURPOSE

Rapid increases in technology and data motivate the application of artificial intelligence (AI) to primary care, but no comprehensive review exists to guide these efforts. Our objective was to assess the nature and extent of the body of research on AI for primary care.

METHODS

We performed a scoping review, searching 11 published or gray literature databases with terms pertaining to AI (eg, machine learning, bayes* network) and primary care (eg, general pract*, nurse). We performed title and abstract and then full-text screening using Covidence. Studies had to involve research, include both AI and primary care, and be published in Eng-lish. We extracted data and summarized studies by 7 attributes: purpose(s); author appointment(s); primary care function(s); intended end user(s); health condition(s); geographic location of data source; and AI subfield(s).

RESULTS

Of 5,515 unique documents, 405 met eligibility criteria. The body of research focused on developing or modifying AI methods (66.7%) to support physician diagnostic or treatment recommendations (36.5% and 13.8%), for chronic conditions, using data from higher-income countries. Few studies (14.1%) had even a single author with a primary care appointment. The predominant AI subfields were supervised machine learning (40.0%) and expert systems (22.2%).

CONCLUSIONS

Research on AI for primary care is at an early stage of maturity. For the field to progress, more interdisciplinary research teams with end-user engagement and evaluation studies are needed.

Online psychotherapy: trailblazing digital healthcare

Advances in digital technology have a profound impact on conventional healthcare systems. We examine the trailblazing use of online interventions to enable autonomous psychological care which can greatly enhance individual- and population-level access to services. There is strong evidence supporting online cognitive-behavioural therapy and more engaging programmes are now appearing so as to reduce user 'attrition'. The next generation of autonomous psychotherapy programmes will implement adaptive and personalised responses, moving beyond impersonalised advice on cognitive and behavioural techniques. This will be a more authentic form of psychotherapy that integrates therapy with the actual relationship experiences of the individual user.

Treatment of Depression in Primary Care with Computerized Psychological Therapies: Systematic Reviews

Depression is one of the most important causes of disability due to illness in our environment. The primary care health system receives a high percentage of this consultation about psychological distress. Often this end in a pharmacological overtreatment in patients with mild depression, due to a lack of access to alternative tools for management. To analyze the evidence that exists by now about the effectiveness of computerized psychological therapies, in people with depression in primary care setting. The search process was mainly done through MEDLINE and Cochrane using keywords such as: "depression", "treatment", "primary care", "online", "internet", "computerized", "Cognitive Behavioral Therapy" and delimiting the search by years and types of studies. The Oxman quality scale was used to analyze quality of Systematic Reviews (SR). 11 previous SR were analyzed. Almost all research is experimental and has not been implemented in the public health network except in the United Kingdom, where there is a tradition in the use of the Beating the Blues program. It requires research in our country and development of programs in Spanish, or adaptation of those of other countries, to test the effectiveness in our health system and to study, in turn, the cost-efficiency. But it is proven to be effective in reducing depressive symptoms and must be study as a possible tool to be introduced in the management of depression in non-specialized care.

Evaluation of a temporal causal model for predicting the mood of clients in an online therapy

Background Self-reported client assessments during online treatments enable the development of statistical models for the prediction of client improvement and symptom development. Evaluation of these models is mandatory to ensure their validity. Methods For this purpose, we suggest besides a model evaluation based on study data the use of a simulation analysis. The simulation analysis provides insight into the model performance and enables to analyse reasons for a low predictive accuracy. In this study, we evaluate a temporal causal model (TCM) and show that it does not provide reliable predictions of clients' future mood levels. Results Based on the simulation analysis we investigate the potential reasons for the low predictive performance, for example, noisy measurements and sampling frequency. We conclude that the analysed TCM in its current form is not sufficient to describe the underlying psychological processes. Conclusions The results demonstrate the importance of model evaluation and the benefit of a simulation analysis. The current manuscript provides practical guidance for conducting model evaluation including simulation analysis.

Internet-Delivered Cognitive Behavior Therapy as a Prequel to Face-To-Face Therapy for Depression and Anxiety: A Naturalistic Observation

Background: The UK's Improving Access to Psychological Therapies (IAPT) program is a stepped-care model treating individuals with depression and anxiety disorders. Internet-delivered cognitive behavioral therapy (iCBT) is routinely offered to individuals with mild to moderate symptoms, but its applicability to individuals with severe clinical symptoms and requiring a high-intensity intervention is relatively unknown. The current study sought to investigate the potential impacts of using iCBT as a prequel for patients requiring high-intensity treatment (HIT; face-to-face) for depression and anxiety in IAPT. Methods: The study utilized an open study design. One hundred and twenty-four participants who were on a waiting list for high-intensity, face-to-face psychological treatment were offered iCBT. Psychometric data on symptoms of depression, anxiety, and functioning were collected from participants before starting and on finishing iCBT and at the point of service exit. Therapeutic alliance data were collected from patients and clinicians during treatment. Patient pathway data, such as number of treatment sessions and time in treatment, was also collected and incorporated into the analysis. Results: Significant reductions across primary outcome measures of depression and anxiety, as well as improved functioning, were observed from baseline to iCBT treatment exit, and from iCBT exit to service exit. Analysis of the therapeutic alliance data for patients and clinicians illustrated differences in outcome for those who dropped out and those who completed treatment. Discussion: This study illustrates the potential for using iCBT as a prequel to high-intensity therapy for depression and anxiety disorders and is the first of its kind to do so within IAPT stepped care. The results show that iCBT is a valuable option reducing waiting times and enhancing clinical efficiency. The study contributes to the well-established evidence on online psychological treatments worldwide, but further clinical and service development research is necessary to scale these treatments appropriately.

Trajectories of grief, depression, and posttraumatic stress in disaster-bereaved people

BACKGROUND

Previous latent trajectory studies in adult bereaved people have identified individual differences in reactions postloss. However, prior findings may not reflect the complete picture of distress postloss, because they were focused on depression symptoms following nonviolent death. We examined trajectories of symptom-levels of persistent complex bereavement disorder (PCBD), depression, and posttraumatic stress disorder (PTSD) in a disaster-bereaved sample. We also investigated associations among these trajectories and background and loss-related factors, psychological support, and previous mental health complaints.

METHODS

Latent class growth modeling was used to identify distinct trajectories of PCBD, depression, and PTSD symptoms in people who lost loved ones in a plane disaster in 2014. Participants (N = 172) completed questionnaires for PCBD, depression, and PTSD at 11, 22, 31, and 42 months postdisaster. Associations among class membership and background and loss-related variables, psychological support, and previous mental health complaints were examined using logistic regression analyses.

RESULTS

Two PCBD classes emerged: mild (81.8%) and chronic (18.2%) PCBD. For both depression and PTSD, three classes emerged: mild (85.6% and 85.2%), recovered (8.2% and 4.4%), and chronic trajectory (6.2% and 10.3%). People assigned to the chronic PCBD, depression, or PTSD class were less highly educated than people assigned to the mild/recovered classes.

CONCLUSIONS

This is the first latent trajectory study that offers insights in individual differences in longitudinal symptom profiles of PCBD, depression, and PTSD in bereaved people. We found support for differential trajectories and predictors across the outcomes.

On the Road to Personalized Psychotherapy: A Research Agenda Based on Cognitive Behavior Therapy for Depression

In this conceptual paper, we outline the many challenges on the road to personalized psychotherapy, using the example of cognitive behavior therapy (CBT) for depression. To optimize psychotherapy for the individual patient, we need to find out how therapy works (identification of mechanisms of change) and for whom it works (identification of moderators). To date, psychotherapy research has not resulted in compelling evidence for or against common or specific factors that have been proposed as mechanisms of change. Our central proposition is that we need to combine the "how does it work?"-question with the "for whom does it work?"-question in order to advance the field. We introduce the personalized causal pathway hypothesis that emphasizes the links and distinction between individual patient differences, therapeutic procedures and therapy processes as a paradigm to facilitate und understand the concept of personalized psychotherapy. We review the mechanism of change literature for CBT for depression to see what we have learned so far, and describe preliminary observational evidence supporting the personalized causal pathway hypothesis. We then propose a research agenda to push the ball forward: exploratory studies into the links between individual differences, therapeutic procedures, therapy processes and outcome that constitute a potential causal pathway, making use of experience sampling, network theory, observer ratings of therapy sessions, and moderated mediation analysis; testing and isolation of CBT procedures in experiments; and testing identified causal pathways of change as part of a personalized CBT package against regular CBT, in order to advance the application of personalized psychotherapy.

Developing and Testing a Novel, Computerized Insomnia and Anxiety Intervention to Reduce Safety Aids Among an at-Risk Student Sample: A Randomized Controlled Trial

Anxiety and insomnia disorders are two of the most common and costly mental health conditions. They are frequently comorbid, but current treatments do not target both. To streamline treatment, we developed a computerized intervention targeting a transdiagnostic factor, safety aids (cognitive or behavioral strategies used to cope with distress that paradoxically exacerbate symptoms). We conducted a randomized controlled trial to determine the acceptability and efficacy of this brief one-session intervention. Young adult undergraduates (N = 61) with elevated subclinical anxiety and insomnia were randomized to receive the anxiety-insomnia intervention or a physical health control condition. Participants were followed for 1 month and completed self-report measures. Analyses indicated that participants found the intervention acceptable, credible, and engaging. Analyses revealed the active intervention reduced sleep- and anxiety-related safety aids, with medium to large effect sizes. Findings suggest that targeting safety aids for anxiety and insomnia is acceptable and effective in reducing the target mechanism, safety aids, as well as worry. Future research should replicate these findings within a clinical sample and with a longer-term follow-up.

Use of a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention in a Community Population of Adults With Depression Symptoms: Randomized Controlled Trial

Background

Although internet-based cognitive behavior therapy (iCBT) interventions can reduce depression symptoms, large differences in their effectiveness exist.

Objective

The aim of this study was to evaluate the effectiveness of an iCBT intervention called Thrive, which was designed to enhance engagement when delivered as a fully automated, stand-alone intervention to a rural community population of adults with depression symptoms.

Methods

Using no diagnostic or treatment exclusions, 343 adults with depression symptoms were recruited from communities using an open-access website and randomized 1:1 to the Thrive intervention group or the control group. Using self-reports, participants were evaluated at baseline and 4 and 8 weeks for the primary outcome of depression symptom severity and secondary outcome measures of anxiety symptoms, work and social adjustment, psychological resilience, and suicidal ideation.

Results

Over the 8-week follow-up period, the intervention group (n=181) had significantly lower depression symptom severity than the control group (n=162; P<.001), with a moderate treatment effect size (d=0.63). Moderate to near-moderate effect sizes favoring the intervention group were observed for anxiety symptoms (P<.001; d=0.47), work/social functioning (P<.001; d=0.39), and resilience (P<.001; d=0.55). Although not significant, the intervention group was 45% less likely than the control group to experience increased suicidal ideation (odds ratio 0.55).

Conclusions

These findings suggest that the Thrive intervention was effective in reducing depression and anxiety symptom severity and improving functioning and resilience among a mostly rural community population of US adults. The effect sizes associated with Thrive were generally larger than those of other iCBT interventions delivered as a fully automated, stand-alone intervention.

Trial Registration

ClinicalTrials.gov NCT03244878; https://clinicaltrials.gov/ct2/show/NCT03244878

Patterns, Predictors, and Prognostic Validity of Persistent Complex Bereavement Disorder Symptoms in Recently Bereaved Adults: A Latent Class Analysis

Persistent complex bereavement (PCBD) was entered to DSM-5. No studies have yet examined the nature, prevalence, prognostic validity, and underlying mechanisms of PCBD symptom patterns in recently bereaved people. Knowledge on these issues could improve the early identification and treatment of disturbed grief. Latent class analysis was used to identify subgroups characterized by different PCBD symptom patterns among recently (≤6 months) bereaved adults (n = 476). In a subgroup (n = 251), we assessed associations of class membership with PCBD severity and functional impairment assessed 3 years later. Associations between class membership and sociodemographic and cognitive-behavioral variables were also examined. We identified a resilient (50.0%), separation distress (36.1%), and high PCBD symptoms (13.9%) class. Class membership had prognostic value as evidenced by associations with PCBD severity and functional impairment assessed 3 years later. Deaths of partners/children, unexpectedness of the loss, and maladaptive cognitions and avoidance behaviors were also associated with membership of the pervasive symptom classes.

Patient preferences for a guided self-help programme to prevent relapse in anxiety or depression: A discrete choice experiment

BACKGROUND

Anxiety and depressive disorders are increasingly being viewed as chronic conditions with fluctuating symptom levels. Relapse prevention programmes are needed to increase self-management and prevent relapse. Fine-tuning relapse prevention programmes to the needs of patients may increase uptake and effectiveness.

MATERIALS AND METHODS

A discrete choice experiment (DCE) was conducted amongst patients with a partially or fully remitted anxiety or depressive disorder. Patients were presented 20 choice tasks with two hypothetical treatment scenarios for relapse prevention, plus a "no treatment" option. Each treatment scenario was based on seven attributes of a hypothetical but realistic relapse prevention programme. Attributes considered professional contact frequency, treatment type, delivery mode, programme flexibility, a personal relapse prevention plan, time investment and effectiveness. Choice models were estimated to analyse the data.

RESULTS

A total of 109 patients with a partially or fully remitted anxiety or depressive disorder completed the DCE. Attributes with the strongest impact on choice were high effectiveness, regular contact with a professional, low time investment and the inclusion of a personal prevention plan. A high heterogeneity in preferences was observed, related to both clinical and demographic characteristics: for example, a higher number of previous treatment episodes was related to a preference for a higher frequency of contact with a professional, while younger age was related to a stronger preference for high effectiveness.

CONCLUSIONS

This study using a DCE provides insights into preferences for a relapse prevention programme for anxiety and depressive disorders that can be used to guide the development of such a programme.

Exploring the Relationship Between the Acceptability of an Internet-Based Intervention for Depression in Primary Care and Clinical Outcomes: Secondary Analysis of a Randomized Controlled Trial

Background: Depression is one of the most prevalent psychological disorders worldwide. Although psychotherapy for depression is effective, there are barriers to its implementation in primary care in Spain. The use of the Internet has been shown to be a feasible solution. However, the acceptability of Internet-based interventions has not been studied sufficiently. Objective: To assess the acceptability of an Internet-based intervention (IBI) for depression in primary care, and explore the relationship between expectations and satisfaction and the improvement in the clinical variables in primary care patients receiving this intervention. Furthermore, it offers data about the effects of some sociodemographic characteristics on these acceptability variables and analyzes whether the expectations are related to finalizing the intervention. Methods: Data were based on depressive patients who were participants in a randomized controlled trial. In the present study, we present the data from all the participants in the Internet intervention groups (N = 198). All the participants filled out the expectation and satisfaction scales (six-item scales regarding treatment logic, satisfaction, recommending, usefulness for other disorders, usefulness for the patient, and unpleasantness), the Beck Depression Inventory-II, and the secondary outcome measures: depression and anxiety impairment, and positive and negative affect. Results: Results showed that participants' expectations and satisfaction with the program were both high and differences in expectations and satisfaction depended on some sociodemographic variables (age: older people have higher expectations; sex: women have greater satisfaction). A positive relationship between these variables and intervention efficacy was found: expectations related to "usefulness for the patient" were a statistically related predictor to the results on the BDI-II (Beta = 0.364), and the perception of how logical the treatment is (Beta = 0.528) was associated with change in the clinical variable. Furthermore, the higher the expectations, the higher the improvements exhibited by the patients in all measures evaluated during the ten intervention modules. High expectations were also directly related to finalizing the intervention. Conclusions: This is the first study in Spain to address this issue in the field of IBIs for depression in primary care. The IBI showed high acceptance related to the intervention's efficacy and completion. Research on IBI acceptability could help to implement the treatment offered. Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT01611818.

Cognitive behavioral therapy for primary care depression and anxiety: a secondary meta-analytic review using robust variance estimation in meta-regression

Cognitive-behavioral therapy (CBT) is well supported for treating depressive and anxiety disorders. Trials of CBT for anxiety and depression in primary care have increased over the past decade, yet only one meta-analysis, published in 2015, examined this topic and the scope of that review is relatively narrow. This study conducted a systematic review and meta-analysis of primary care based CBT for depression and anxiety. A search of seven electronic databases, six professional websites, and reference lists from articles meeting inclusion criteria was conducted for studies published between 1900 and November 2018. Fifty-seven eligible studies (including 10,701 participants; 221 effect sizes) of randomized controlled trials were eligible and included for meta-analysis using robust variance estimation in meta-regression. Outcome indicators were depression and anxiety measures. An overall significant treatment effect, d = 0.400, 95% CI (0.235, 0.566), p < 0.001, of CBT for depression and anxiety disorders in primary care was identified. Subgroup analyses indicated significant treatment effect for: (1) depressive (d = 0.425, p < 0.001) and anxiety (d = 0.393, p < 0.01) outcomes, (2) studies conducted inside primary care (d = 0.412, p < 0.001), (3) studies using individual-based CBT (d = 0.412, p < 0.001), (4) studies without primary care physician involvement (d = 0.395, p < 0.001), and (5) studies using both tele-health (d = 0.563, p < 0.001) and in-person CBT (d = 0.363, p < 0.001). The percentage of White participants, treatment composition (CBT only versus CBT + other approaches), and treatment duration were significant moderators. Implications for clinical practice are discussed based on both moderator and subgroup analysis results.

Dissemination of computer-assisted cognitive-behavior therapy for depression in primary care

Computer-assisted cognitive-behavior therapy (CCBT) for depression in primary care will be evaluated in a trial with 240 patients randomly assigned to CCBT or treatment as usual (TAU). The study will disseminate a therapy method found to be effective in psychiatric settings into primary care - a setting in which there have been significant problems in the delivery of adequate, evidence-based treatment for depression. The study will include a high percentage of disadvantaged (low-income) patients - a population that has been largely ignored in previous research in CCBT. There have been no previous studies of CCBT for depression in primary care that have enrolled large numbers of disadvantaged patients. The form of CCBT used in this study is designed to increase access to effective therapy, provide a cost-effective method, and be a sustainable model for wide-spread use in primary care. In order to deliver therapy in a practical manner that can be replicated in other primary care practices, patients with significant symptoms of depression will receive treatment with an empirically supported computer program that builds cognitive-behavior therapy skills. Support for CCBT will be provided by telephone and/or e-mail contact with a care coordinator (CC) instead of face-to-face treatment with a cognitive-behavior therapist. Outcome will be assessed by measuring CCBT completion rate, comprehension of CBT concepts, and satisfaction with treatment, in addition to ratings of depressive symptoms, negative thoughts, and quality of life. The cost-effectiveness analysis and exploration of possible predictors of outcome should help clinicians, health care organizations, and others plan further dissemination of CCBT in primary care.

The effectiveness of four empirically supported psychotherapies for primary care depression and anxiety: A systematic review and meta-analysis

BACKGROUND

Depressive and anxiety disorders are highly prevalent and detrimental in primary care settings. However, there are gaps in the literature concerning effectiveness and generalizability of empirically supported interventions and treatment of both depression and anxiety in primary care settings. The aim of this review is to systematically assess and meta-analyze the effectiveness of brief empirically-supported psychotherapies for treating depression and/or anxiety in primary care.

METHODS

Seven electronic databases, five professional websites and manual search of reference lists were searched through April 2017 for randomized controlled trials (RCTs) of four psychotherapies treating primary care depression and anxiety: cognitive-behavior therapy (CBT), problem-solving therapy (PST), motivational interviewing (MI), and solution-focused brief therapy (SFBT).

RESULTS

From an initial pool of 1140 articles, 179 articles were eligible for full-text review and 65 articles were included for final analysis. Sixty-five articles containing 198 effect sizes reported an overall treatment effect size of d = 0.462, p < 0.001. Single-predictor meta-regression indicated that marital status, treatment modality (individual versus group), and treatment composition were significant moderators. Multiple-predictor meta-regression discovered treatment setting (inside versus outside primary care) significantly moderated treatment effect, b = -0.863, p = 0.039 after controlling for other intervention characteristics.

CONCLUSION

Treatment effects were found for CBT and PST, both for depressive and anxiety disorders. Interventions delivered outside primary care settings were more effective than those within, individual treatment had greater treatment effects compared to group treatment, and both technology-assisted and in-person treatments were found to be effective.

Patient experience of supported computerized CBT in an inner-city IAPT service: a qualitative study

Computerized cognitive behavioural therapy (cCBT) has been developed to address economic and clinical issues around limited access to evidence-based therapy. Supported cCBT (variously termed iCBT or eCBT) has been developed to address issues with the effectiveness of, and engagement with, cCBT. There has been no in-depth qualitative exploration of the patient experience of eCBT within the UK, which might aid improving its effectiveness. The aim of this study was to explore patient experience of eCBT in one inner-city National Health Service (NHS) Improving Access to Psychological Therapies (IAPT) service using a semi-structured interview and Thematic Analysis methodology. Ten patients took part. Six main themes were identified: (1) Being Offered eCBT; (2) How eCBT Compares with Self-help; (3) The Patient's State of Mind; (4) The Relationship with the Supporter; (5) Preferring to Talk; (6) eCBT's Value as a Treatment. Participants in this study indicated a preference for face-to-face talking therapy, but were clear that they could form a therapeutic relationship via asynchronous messaging. They reported clinical benefit from the eCBT programme and online relationship, and acknowledged that accessing this immediately was valuable. Issues around the process of selecting patients for eCBT, including with regard to acknowledging or mitigating any negative emotional effects of eCBT, and how to offer and support users with it, are discussed.

Is self-guided internet-based cognitive behavioural therapy (iCBT) harmful? An individual participant data meta-analysis

BACKGROUND

Little is known about potential harmful effects as a consequence of self-guided internet-based cognitive behaviour therapy (iCBT), such as symptom deterioration rates. Thus, safety concerns remain and hamper the implementation of self-guided iCBT into clinical practice. We aimed to conduct an individual participant data (IPD) meta-analysis to determine the prevalence of clinically significant deterioration (symptom worsening) in adults with depressive symptoms who received self-guided iCBT compared with control conditions. Several socio-demographic, clinical and study-level variables were tested as potential moderators of deterioration.

METHODS

Randomised controlled trials that reported results of self-guided iCBT compared with control conditions in adults with symptoms of depression were selected. Mixed effects models with participants nested within studies were used to examine possible clinically significant deterioration rates.

RESULTS

Thirteen out of 16 eligible trials were included in the present IPD meta-analysis. Of the 3805 participants analysed, 7.2% showed clinically significant deterioration (5.8% and 9.1% of participants in the intervention and control groups, respectively). Participants in self-guided iCBT were less likely to deteriorate (OR 0.62, p < 0.001) compared with control conditions. None of the examined participant- and study-level moderators were significantly associated with deterioration rates.

CONCLUSIONS

Self-guided iCBT has a lower rate of negative outcomes on symptoms than control conditions and could be a first step treatment approach for adult depression as well as an alternative to watchful waiting in general practice.

Supported Internet-Delivered Cognitive Behavior Treatment for Adults with Severe Depressive Symptoms: A Secondary Analysis

BACKGROUND

Depression is a highly prevalent mental health issue that exacts significant economic, societal, personal, and interpersonal costs. Innovative internet-delivered interventions have been designed to increase accessibility to and cost-effectiveness of treatments. These treatments have mainly targeted mild to moderate levels of depression. The increased risk associated with severe depression, particularly of suicidal ideation often results in this population being excluded from research studies. As a result, the effectiveness of internet-delivered cognitive behavioral therapy (iCBT) in more severely depressed cohorts is less researched.

OBJECTIVE

The aim of this study is to examine the effect of iCBT on symptoms of severe depression, comorbid symptoms of anxiety, and levels of work and social functioning.

METHODS

Retrospective consent was provided by participants with elevated scores (>28 severe depression symptoms) on the Beck Depression Inventory (BDI-II) who accessed an iCBT intervention (Space from Depression) with support for up to 8 weeks. Data were collected at baseline, posttreatment, and 3-month follow-up on the primary outcome (BDI-II), and secondary outcomes (the Generalized Anxiety Disorder-7 and the Work and Social Adjustment Scale).

RESULTS

A significant change was observed on all measures between pre- and postmeasurement and maintained at 3-month follow-up. Clinical improvement was observed for participants on the BDI-II from pre- to postmeasurement, and suicidal ideation also reduced from pre- to postmeasurement.

CONCLUSIONS

Users of Space from Depression with symptoms of severe depression were found to have decreased symptoms of depression and anxiety and increased levels of work and social functioning. The intervention also demonstrated its potential to decrease suicidal ideation. Further investigation is required to determine why some individuals improve, and others do not. iCBT may have the potential to be used as an adjunct treatment for severe depression symptoms, but participants may require further treatment if they receive iCBT as a standalone intervention. Although promising, further research incorporating control groups is needed to support the utility of Space from Depression for use in or as an adjunct to treatment for severe depression.

Evaluation of a brief unguided psychological online intervention for depression: A controlled trial including exploratory moderator analyses

BACKGROUND

Psychological online interventions (POIs) reduce depression but we know little about factors influencing their effectiveness. We evaluated a new, brief POI for depression and conducted exploratory moderator analyses.

METHODS

In this online trial (German Clinical Trials Register; DRKS00011045), we allocated participants to treatment as usual (TAU; n = 67) or POI (n = 65). At first, we randomized participants; later we allocated participants based on depression severity in order to counter baseline differences. The unguided POI addressed behavioral activation and depressive thinking in a single module with 25 webpages (including a smartphone application). We did one assessment at baseline and a post-assessment four weeks later.

RESULTS

At post-assessment, depression (p = .586), behavioral activation (p = .332), and dysfunctional attitudes (p = .499) did not differ between groups. When concurrent treatments (medication/psychotherapy) remained constant/decreased, the POI outperformed TAU (p = .031). POI-participants with lower willingness to change (p = .030) or higher education (p = .017) were less likely to worsen (i.e., experience increased depressive symptoms) compared to TAU.

DISCUSSION

The targeted sample size was not reached, measurements were self-reported, and randomization failed. The POI's content may have been too limited. Concurrent treatments, which were more often sought out by TAU participants, diminished group differences and should be considered in future studies. Brief POIs may protect against worsening of depressive symptoms among highly educated participants or those with low willingness to change.

Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: An updated meta-analysis

BACKGROUND

A 2010 meta-analysis of internet-delivered CBT (iCBT) RCTs argued 'computer therapy for the anxiety and depressive disorders was effective, acceptable and practical health care' without data on effectiveness or practicality in routine practice.

METHODS

Databases, reviews and meta-analyses were searched for randomised controlled trials of cCBT or iCBT versus a control group (care as usual, waitlist, information control, psychological placebo, pill placebo, etc.) in people who met diagnostic criteria for major depression, panic disorder, social anxiety disorder or generalised anxiety disorder. Number randomised, superiority of treatment versus control (Hedges'g) on primary outcome measure, length of follow-up, follow up outcome, patient adherence and satisfaction/harm were extracted; risk of bias was assessed. A search for studies on effectiveness of iCBT in clinical practice was conducted.

RESULTS

64 trials were identified. The mean effect size (efficacy) was g = 0.80 (NNT 2.34), and benefit was evident across all four disorders. Improvement was maintained at follow-with good acceptability. Research probity was good, and bias risk low. In addition, nine studies comparing iCBT with traditional face-to-face CBT and three comparing iCBT with bibliotherapy were identified. All three modes of treatment delivery appeared equally beneficial. The results of effectiveness studies were congruent with the results of the efficacy trials.

LIMITATIONS

Studies variably measured changes in quality of life and disability, and the lack of comparisons with medications weakens the field.

CONCLUSIONS

The conclusions drawn in the original meta-analysis are now supported: iCBT for the anxiety and depressive disorders is effective, acceptable and practical health care.

Novel technology as platform for interventions for caregivers and individuals with severe mental health illnesses: A systematic review

BACKGROUND

Severe mental illnesses (SMIs) have been found to be associated with both increases in morbidity-mortality, need for treatment care in patients themselves, and burden for relatives as caregivers. A growing number of web-based and mobile software applications have appeared that aim to address various barriers with respect to access to care. Our objective was to review and summarize recent advancements in such interventions for caregivers of individuals with a SMI.

METHODS

We conducted a systematic search for papers evaluating interactive mobile or web-based software (using no or only minimal support from a professional) specifically aimed at supporting informal caregivers. We also searched for those supporting patients with SMI so as to not to miss any which might include relatives.

RESULTS

Out of a total of 1673 initial hits, we identified 11 articles reporting on 9 different mobile or web-based software programs. The main result is that none of those studies focused on caregivers, and the ones we identified using mobile or web-based applications were just for patients and not their relatives.

LIMITATIONS

Differentiating between online and offline available software might not always have been totally reliable, and we might have therefore missed some studies.

CONCLUSIONS

In summary, the studies provided evidence that remotely accessible interventions for patients with SMI are feasible and acceptable to patients. No such empirically evaluated program was available for informal caregivers such as relatives. Keeping in mind the influential role of those informal caregivers in the process of treatment and self-management, this is highly relevant for public health. Supporting informal caregivers can improve well-being of both caregivers and patients.

Internetbasierte Therapie in der Versorgung von Patienten mit depressiven Störungen: Ein Überblick

Zusammenfassung. Internet- und mobilbasierten Interventionen wird großes Potenzial in der Behandlung von Menschen mit depressiver Symptomatik zugeschrieben. Diese Einschätzung hat sich in den letzten Jahren vor dem Hintergrund mehrerer Programmentwicklungen und einer Vielzahl von Studien zur Wirksamkeitsprüfung der zumeist auf der kognitiven Verhaltenstherapie basierten Angebote etabliert. Ziel der vorliegenden Übersichtsarbeit ist es, zu prüfen, inwieweit sich aus der empirischen Befundlage wissenschaftlich fundierte Empfehlungen für die Versorgungsbereiche Prävention, Primärversorgung, ambulante Psychotherapie, fachärztliche Versorgung sowie die stationäre Behandlung ableiten lassen. Hierfür werden die Ergebnisse ausgewählter Studien, die in den genannten Versorgungsbereichen angesiedelt sind und die Erhebung der Diagnose depressive Störung auf ein Expertenurteil stützen, kritisch bewertet. In der Schlussfolgerung ermöglicht die gegenwärtige Studienlage keine eindeutige Empfehlung zum Einsatz von internetbasierten Behandlungsprogrammen in den genannten Versorgungsbereichen.