European COMPARative Effectiveness research on blended Depression treatment versus treatment-as-usual (E-COMPARED): study protocol for a randomized controlled, non-inferiority trial in eight European countries

Comparison of the Working Alliance in Blended Cognitive Behavioral Therapy and Treatment as Usual for Depression in Europe: Secondary Data Analysis of the E-COMPARED Randomized Controlled Trial

BACKGROUND

Increasing interest has centered on the psychotherapeutic working alliance as a means of understanding clinical change in digital mental health interventions in recent years. However, little is understood about how and to what extent a digital mental health program can have an impact on the working alliance and clinical outcomes in a blended (therapist plus digital program) cognitive behavioral therapy (bCBT) intervention for depression.

OBJECTIVE

This study aimed to test the difference in working alliance scores between bCBT and treatment as usual (TAU), examine the association between working alliance and depression severity scores in both arms, and test for an interaction between system usability and working alliance with regard to the association between working alliance and depression scores in bCBT at 3-month assessments.

METHODS

We conducted a secondary data analysis of the E-COMPARED (European Comparative Effectiveness Research on Blended Depression Treatment versus Treatment-as-usual) trial, which compared bCBT with TAU across 9 European countries. Data were collected in primary care and specialized services between April 2015 and December 2017. Eligible participants aged 18 years or older and diagnosed with major depressive disorder were randomized to either bCBT (n=476) or TAU (n=467). bCBT consisted of 6-20 sessions of bCBT (involving face-to-face sessions with a therapist and an internet-based program). TAU consisted of usual care for depression. The main outcomes were scores of the working alliance (Working Alliance Inventory-Short Revised-Client [WAI-SR-C]) and depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]) at 3 months after randomization. Other variables included system usability scores (System Usability Scale-Client [SUS-C]) at 3 months and baseline demographic information. Data from baseline and 3-month assessments were analyzed using linear regression models that adjusted for a set of baseline variables.

RESULTS

Of the 945 included participants, 644 (68.2%) were female, and the mean age was 38.96 years (IQR 38). bCBT was associated with higher composite WAI-SR-C scores compared to TAU (B=5.67, 95% CI 4.48-6.86). There was an inverse association between WAI-SR-C and PHQ-9 in bCBT (B=-0.12, 95% CI -0.17 to -0.06) and TAU (B=-0.06, 95% CI -0.11 to -0.02), in which as WAI-SR-C scores increased, PHQ-9 scores decreased. Finally, there was a significant interaction between SUS-C and WAI-SR-C with regard to an inverse association between higher WAI-SR-C scores and lower PHQ-9 scores in bCBT (b=-0.030, 95% CI -0.05 to -0.01; P=.005).

CONCLUSIONS

To our knowledge, this is the first study to show that bCBT may enhance the client working alliance when compared to evidence-based routine care for depression that services reported offering. The working alliance in bCBT was also associated with clinical improvements that appear to be enhanced by good program usability. Our findings add further weight to the view that the addition of internet-delivered CBT to face-to-face CBT may positively augment experiences of the working alliance.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02542891, https://clinicaltrials.gov/study/NCT02542891; German Clinical Trials Register DRKS00006866, https://drks.de/search/en/trial/DRKS00006866; Netherlands Trials Register NTR4962, https://www.onderzoekmetmensen.nl/en/trial/25452; ClinicalTrials.Gov NCT02389660, https://clinicaltrials.gov/study/NCT02389660; ClinicalTrials.gov NCT02361684, https://clinicaltrials.gov/study/NCT02361684; ClinicalTrials.gov NCT02449447, https://clinicaltrials.gov/study/NCT02449447; ClinicalTrials.gov NCT02410616, https://clinicaltrials.gov/study/NCT02410616; ISRCTN Registry ISRCTN12388725, https://www.isrctn.com/ISRCTN12388725?q=ISRCTN12388725&filters=&sort=&offset=1&totalResults=1&page=1&pageSize=10; ClinicalTrials.gov NCT02796573, https://classic.clinicaltrials.gov/ct2/show/NCT02796573.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s13063-016-1511-1.

Depression in Central and Eastern Europe: How Much It Costs? Cost of Depression in Romania

OBJECTIVE

The present study aims to estimate the public cost of depression in Romania during a seven-year time span to complement existing papers with data from Central and Eastern Europe and to identify and propose measures that allow efficient use of funds.

METHODS

We used data collected from the National Health Insurance System to analyze the main components of the cost.

FINDINGS

Indirect costs exceed direct costs. Within the direct costs, hospitalization and medicines still have an important share but are decreasing due to the intervention of outpatient services such as psychiatrists and psychotherapists.

CONCLUSION

Since the goal is mental health, it is necessary to act early and quickly to decrease the burden in the long run. Annually, the mean direct cost of depression per patient is EUR 143 (part of it is represented by hospitalization, i.e., EUR 67, and psychotherapy, i.e., EUR 5), the mean cost of sick leaves per patient is EUR 273, and the total cost per patient is EUR 5553. Indirect costs (cost of disability and lost productive years) represent 97.17% of the total cost. An integrated approach to early diagnosis, effective treatment, monitoring, and prevention as well as included economic and social programs are needed to optimize indirect costs.

[Video-based psychotherapy: current framework conditions, developments, and recommendations for practical implementation]

Video-based psychotherapy is a digital way to deliver psychotherapeutic treatment when traditional on-site psychotherapy cannot be provided due to structural barriers, such as those related to the COVID-19 pandemic. The use of this digital approach has proven to be both effective and accepted among therapists and patients. Legal frameworks for German therapists and recommendations for practical implementation are summarized in this article.

Measuring working alliance and technical alliance from the perspective of healthcare professionals working with people with mild intellectual disabilities: adaptation, factor structure and reliability

BACKGROUND

The establishment of a valuable and meaningful working alliance between people with mild intellectual disabilities (IDs) and healthcare professionals is critically important for improving both the quality of life and impact of therapy for people with mild IDs. Measuring the working alliance as a treatment or support component is therefore of utmost relevance. In light of the increased use of eHealth tools, it is also essential to measure the alliance using these tools, which is referred to as technical alliance. There was a lack of validation of these two measurements for healthcare professionals working with people with mild IDs, which this study sought to address.

METHOD

Both the validated Working Alliance Inventory - Short Form - MID (WAI-SF-MID) and Technical Alliance Inventory - Short Form - MID (TAI-SF-MID) for general patient populations were adapted for healthcare professionals working with people with mild IDs. A two-step approach was conducted to systematically adapt both measurements with an expert group of healthcare professionals. Confirmatory factor analysis was conducted to test a three-factor structure for both the WAI-SF-MID (N = 199) and the TAI-SF-MID (N = 139), and internal consistency was determined for both scales.

RESULTS

An acceptable-to-good model fit was found for both the WAI-SF-MID and the TAI-SF-MID; confirmatory factor analysis confirmed a three-factor model for both measurements. Cronbach's alpha and McDonald's omega were excellent for both total scales (≥0.90) and acceptable to good for sub-scales of both versions.

CONCLUSION

Both the WAI-SF-MID and the TAI-SF-MID are promising measurements for determining healthcare professionals' perspective on the (digital) working alliance with people with mild IDs.

Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression

Background

Substance use disorders affect 36 million people globally, but only a small proportion of them receive the necessary treatment. E-health interventions have been developed to address this issue by improving access to substance use treatment. However, concerns about participant engagement and adherence to these interventions remain. This review aimed to evaluate adherence to e-health interventions targeting substance use and identify hypothesized predictors of adherence.

Methods

A systematic review of literature published between 2009 and 2020 was conducted, and data on adherence measures and hypothesized predictors were extracted. Meta-analysis and meta-regression were used to analyze the data. The two adherence measures were (a) the mean proportion of modules completed across the intervention groups and (b) the proportion of participants that completed all modules. Four meta-regression models assessed each covariate including guidance, blended treatment, intervention duration and recruitment strategy.

Results

The overall pooled adherence rate was 0.60 (95%-CI: 0.52-0.67) for the mean proportion of modules completed across 30 intervention arms and 0.47 (95%-CI: 0.35-0.59) for the proportion of participants that completed all modules across 9 intervention arms. Guidance, blended treatment, and recruitment were significant predictors of adherence, while treatment duration was not.

Conclusion

The study suggests that more research is needed to identify predictors of adherence, in order to determine specific aspects that contribute to better exposure to intervention content. Reporting adherence and predictors in future studies can lead to improved meta-analyses and the development of more engaging interventions. Identifying predictors can aid in designing effective interventions for substance use disorders, with important implications for e-health interventions targeting substance use.

E-mental health implementation in inpatient care: Exploring its potential and future challenges

Background

There is a great evidence base today for the effectiveness of e-mental health, or the use of technology in mental healthcare. However, large-scale implementation in mental healthcare organisations is lacking, especially in inpatient specialized mental healthcare settings.

Aim

The current study aimed to gain insights into the factors that promote or hinder the implementation of e-mental health applications on organisational, professional and patient levels in Belgium.

Methods

Four Belgian psychiatric hospitals and psychiatric departments of general hospitals invited their professionals and patients to use Moodbuster, which is a modular web-based platform with a connected smartphone application for monitoring. The platform was used in addition to treatment as usual for three to four months. The professionals and patients completed pre- and post-implementation questionnaires on their reasons to participate or to decline participation and experiences with the Moodbuster platform.

Results

Main reasons for the organisations to participate in the implementation study were a general interest in e-mental health and seeing it is a helpful add-on to regular treatment. The actual use of Moodbuster by professionals and patients proved to be challenging with only 10 professionals and 24 patients participating. Implementation was hindered by technical difficulties and inpatient care specific factors such as lack of structural facilities to use e-mental health and patient-specific factors. Professionals saw value in using e-mental health applications for bridging the transition from inpatient to outpatient care. Twenty-two professionals and 31 patients completed the questionnaire on reasons not to participate. For the patients, lack of motivation because of too severe depressive symptoms was the most important reason not to participate. For professionals, it was lack of time and high workload.

Conclusions

The current implementation study reveals several important barriers to overcome in order to successfully implement e-mental health in inpatient psychiatric care.

Feasibility of Digital Cognitive Behavioral Therapy for Depressed Older Adults With the Moodbuster Platform: Protocol for 2 Pilot Feasibility Studies

Background

Internet-based interventions can be effective in the treatment of depression. However, internet-based interventions for older adults with depression are scarce, and little is known about their feasibility and effectiveness.

Objective

To present the design of 2 studies aiming to assess the feasibility of internet-based cognitive behavioral treatment for older adults with depression. We will assess the feasibility of an online, guided version of the Moodbuster platform among depressed older adults from the general population as well as the feasibility of a blended format (combining integrated face-to-face sessions and internet-based modules) in a specialized mental health care outpatient clinic.

Methods

A single-group, pretest-posttest design will be applied in both settings. The primary outcome of the studies will be feasibility in terms of (1) acceptance and satisfaction (measured with the Client Satisfaction Questionnaire-8), (2) usability (measured with the System Usability Scale), and (3) engagement (measured with the Twente Engagement with eHealth Technologies Scale). Secondary outcomes include (1) the severity of depressive symptoms (measured with the 8-item Patient Health Questionnaire depression scale), (2) participant and therapist experience with the digital technology (measured with qualitative interviews), (3) the working alliance between patients and practitioners (from both perspectives; measured with the Working Alliance Inventory–Short Revised questionnaire), (4) the technical alliance between patients and the platform (measured with the Working Alliance Inventory for Online Interventions–Short Form questionnaire), and (5) uptake, in terms of attempted and completed modules. A total of 30 older adults with mild to moderate depressive symptoms (Geriatric Depression Scale 15 score between 5 and 11) will be recruited from the general population. A total of 15 older adults with moderate to severe depressive symptoms (Geriatric Depression Scale 15 score between 8 and 15) will be recruited from a specialized mental health care outpatient clinic. A mixed methods approach combining quantitative and qualitative analyses will be adopted. Both the primary and secondary outcomes will be further explored with individual semistructured interviews and synthesized descriptively. Descriptive statistics (reported as means and SDs) will be used to examine the primary and secondary outcome measures. Within-group depression severity will be analyzed using a 2-tailed, paired-sample t test to investigate differences between time points. The interviews will be recorded and analyzed using thematic analysis.

Results

The studies were funded in October 2019. Recruitment started in September 2022.

Conclusions

The results of these pilot studies will show whether this platform is feasible for use by the older adult population in a blended, guided format in the 2 settings and will represent the first exploration of the size of the effect of Moodbuster in terms of decreased depressive symptoms.

International Registered Report Identifier (IRRID)

PRR1-10.2196/41445

Practitioners' experience of the working alliance in a blended cognitive-behavioural therapy intervention for depression: qualitative study of barriers and facilitators

BACKGROUND

Digital technologies have been widely acknowledged as a potentially useful resource for increasing mental healthcare access. The working alliance is a key influence on outcomes in conventional psychotherapy, but little is known about therapists' experiences of forming an effective working alliance in blended interventions that involve in-person psychotherapy and a digital programme.

AIMS

To investigate psychological well-being practitioners' (PWPs') experiences of the working alliance in a trial of blended cognitive-behavioural therapy (b-CBT) for depression. Trial registration ISRCTN12388725.

METHOD

Semi-structured qualitative interviews were conducted with 13 PWPs who delivered b-CBT in a two-arm, non-inferiority randomised controlled trial investigating the effectiveness of b-CBT compared with face-to-face CBT. Thematic analysis was used to analyse the data.

RESULTS

Participants reported four facilitating factors when building and maintaining a working alliance in b-CBT: having more time to deliver treatment, access to a wider toolkit, capacity to tailor components of b-CBT and receiving appropriate training and support. Participants also identified four barriers to building and maintaining a working alliance: time and resource constraints, usability challenges, limited flexibility to tailor the digital programme to patients' needs and lack of confidence in delivering b-CBT.

CONCLUSIONS

Our study is the first specifically to investigate practitioners' perceived facilitators and barriers to forming a working alliance in b-CBT for depression. Findings suggest that PWPs' experiences of the working alliance can be improved by: accounting for the time required to deliver b-CBT in service workflows to reduce time pressures; increasing opportunities to tailor the digital programme through offering transdiagnostic tools and adaptable features; and providing appropriate b-CBT training and technical support.

Das Beste aus zwei Welten: Eine systematische Übersicht zu Faktoren der Implementierung einer “Blended Therapy” (Gemischte Therapie) in der Psychotherapeutischen Routineversorgung

<b><i>Ziel:</i></b> Diese Arbeit gibt einen Überblick über bisherige wissenschaftliche Empfehlungen zur Implementierung der blended therapy, d.h. der Kombination von Therapien in Präsenz und via digitaler Medien. Die Empfehlungen um­fassen die Themen: (1) wahrgenommene Barrieren von Psychotherapeut*innen, (2) Format der blended therapy und (3) Indikationen für Patient*innen. In diesem Rahmen werden Faktoren aufgezeigt, die Akteur*innen im Gesundheitssystem als Orientierung dienen können, welche Determinanten bei der Implementierung in die Routineversorgung zu berücksichtigen sind. <b><i>Methodik:</i></b> Die systematische Suche erfolgte in den Datenbanken PsycArticles, PsycInfo, PSYNDEX und PubMed. <b><i>Ergebnisse:</i></b> Die Publikationen umfassen vier quantitative, neun qualitative sowie drei Mixed-Methods-Studien. Die bisherigen Arbeiten kommen zu dem Ergebnis, dass Psychotherapeut*innen frühzeitig in den Implementierungsprozess einbezogen und langfristige supportive Maßnahmen für die Umstrukturierung der bisherigen Arbeitsroutine geschaffen werden sollten. Das Format der blended therapy sollte nicht standardisiert angewandt, sondern vielmehr individuell an die Patient*innen angepasst werden. Hinsichtlich möglicher Indikationen werden verschiedene Einflussfaktoren der Patient*innen diskutiert, die bisher jedoch nur unzureichend untersucht wurden. <b><i>Diskussion:</i></b> Bisherige Studien weisen größtenteils homogene Charakteristika und Ergebnisse auf. Forschungslücken bestehen hinsichtlich der Frage, inwieweit sich die Ergebnisse auf andere Therapieschulen, Berufsgruppen und Störungsbilder übertragen lassen. <b><i>Schlussfolgerung:</i></b> Das Review veranschaulicht, dass es wichtiger Vorarbeit hinsichtlich der Anwendungsunterstützung für Psychotherapeut*innen sowie weiterer Forschungsaktivität bedarf, um die Implementierung von blended therapy im Sinne einer möglichen Verbesserung der psychotherapeutischen Versorgung voranzutreiben.

A systematic quality rating of available mobile health apps for borderline personality disorder

BACKGROUND

Mobile health apps (MHAs) may offer a mean to overcome treatment barriers in Borderline Personality Disorder (BPD) mental health care. However, MHAs for BPD on the market lack transparency and quality assessment.

METHODS

European app stores were systematically searched, and two independent trained reviewers extracted relevant MHAs. Employed methods and privacy and security details documentation of included MHAs were extracted. MHAs were then assessed and rated using the German version of the standardized Mobile Application Rating Scale (MARS-G). Mean values and standard deviations of all subscales (engagement, functionality, aesthetics, information, and therapeutic gain) and correlations with user ratings were calculated.

RESULTS

Of 2977 identified MHAs, 16 were included, showing average quality across the four main subscales (M = 3.25, SD = 0.68). Shortcomings were observed with regard to engagement (M = 2.87, SD = 0.99), potential therapeutic gain (M = 2.67, SD = 0.83), existing evidence base (25.0% of included MHAs were tested empirically), and documented privacy and security details. No significant correlations were found between user ratings and the overall total score of the MARS-G or MARS-G main subscales.

CONCLUSIONS

Available MHAs for BPD vary in quality and evidence on their efficacy, effectiveness, and possible adverse events is scarce. More substantial efforts to ensure the quality of MHAs available for patients and a focus on transparency, particularly regarding privacy and security documentation, are necessary.

Component analysis of a synchronous and asynchronous blended care CBT intervention for symptoms of depression and anxiety: Pragmatic retrospective study

BACKGROUND

Depression and anxiety are leading causes of disability worldwide. Though effective treatments exist, depression and anxiety remain undertreated. Blended care psychotherapy, combining the scalability of online interventions with the personalization and engagement of a live therapist, is a promising approach for increasing access to evidence-based care.

OBJECTIVES

To evaluate the effectiveness and individual contribution of two components - i) digital tools and ii) video-based therapist-led sessions - in a blended care CBT-based intervention under real world conditions.

METHODS

A retrospective cohort design was used to analyze N = 1372 US-based individuals who enrolled in blended care psychotherapy. Of these, at baseline, 761 participants had depression symptoms in the clinical range (based on PHQ-9), and 1254 had anxiety symptoms in the clinical range (based on GAD-7). Participants had access to the program as a mental health benefit offered by their employer. The CBT-based blended care psychotherapy program consisted of regular video sessions with therapists, complemented by digital lessons and digital exercises assigned by the clinician and completed in between sessions. Depression and anxiety levels and clients' treatment engagement were tracked throughout treatment. A 3-level individual growth curve model incorporating time-varying covariates was utilized to examine symptom trajectories of PHQ-9 scores (for those with clinical range of depression at baseline) and GAD-7 scores (for those with clinical range of anxiety at baseline).

RESULTS

On average, individuals exhibited a significant decline in depression and anxiety symptoms during the initial weeks of treatment (P < .001), and a continued decline over subsequent weeks at a slower rate (P < .001). Engaging in a therapy session in a week was associated with lower GAD-7 (b = -0.81) and PHQ-9 (b = -1.01) scores in the same week, as well as lower GAD-7 (b = -0.58) and PHQ-9 (b = -0.58) scores the following week (all P < .01). Similarly, engaging with digital lessons was independently associated with lower GAD-7 (b = -0.19) and PHQ-9 (b = -0.18) scores during the same week, and lower GAD-7 (b = -0.25) and PHQ-9 (b = -0.27) the following week (all P < .01).

CONCLUSIONS

Therapist-led video sessions and digital lessons had separate contributions to improvements in symptoms of depression and anxiety over the course of treatment. Future research should investigate whether clients' characteristics are related to differential effects of therapist-led and digital components of care.

Effect of Sleep Disturbance Symptoms on Treatment Outcome in Blended Cognitive Behavioral Therapy for Depression (E-COMPARED Study): Secondary Analysis

BACKGROUND

Sleep disturbance symptoms are common in major depressive disorder (MDD) and have been found to hamper the treatment effect of conventional face-to-face psychological treatments such as cognitive behavioral therapy. To increase the dissemination of evidence-based treatment, blended cognitive behavioral therapy (bCBT) consisting of web-based and face-to-face treatment is on the rise for patients with MDD. To date, no study has examined whether sleep disturbance symptoms have an impact on bCBT treatment outcomes and whether it affects bCBT and treatment-as-usual (TAU) equally.

OBJECTIVE

The objectives of this study are to investigate whether baseline sleep disturbance symptoms have an impact on treatment outcomes independent of treatment modality and whether sleep disturbance symptoms impact bCBT and TAU in routine care equally.

METHODS

The study was based on data from the E-COMPARED (European Comparative Effectiveness Research on Blended Depression Treatment Versus Treatment-as-Usual) study, a 2-arm, multisite, parallel randomized controlled, noninferiority trial. A total of 943 outpatients with MDD were randomized to either bCBT (476/943, 50.5%) or TAU consisting of routine clinical MDD treatment (467/943, 49.5%). The primary outcome of this study was the change in depression symptom severity at the 12-month follow-up. The secondary outcomes were the change in depression symptom severity at the 3- and 6-month follow-up and MDD diagnoses at the 12-month follow-up, assessed using the Patient Health Questionnaire-9 and Mini-International Neuropsychiatric Interview, respectively. Mixed effects models were used to examine the association of sleep disturbance symptoms with treatment outcome and treatment modality over time.

RESULTS

Of the 943 patients recruited for the study, 558 (59.2%) completed the 12-month follow-up assessment. In the total sample, baseline sleep disturbance symptoms did not significantly affect change in depressive symptom severity at the 12-month follow-up (β=.16, 95% CI -0.04 to 0.36). However, baseline sleep disturbance symptoms were negatively associated with treatment outcome for bCBT (β=.49, 95% CI 0.22-0.76) but not for TAU (β=-.23, 95% CI -0.50 to 0.05) at the 12-month follow-up, even when adjusting for baseline depression symptom severity. The same result was seen for the effect of sleep disturbance symptoms on the presence of depression measured with Mini-International Neuropsychiatric Interview at the 12-month follow-up. However, for both treatment formats, baseline sleep disturbance symptoms were not associated with depression symptom severity at either the 3- (β=.06, 95% CI -0.11 to 0.23) or 6-month (β=.09, 95% CI -0.10 to 0.28) follow-up.

CONCLUSIONS

Baseline sleep disturbance symptoms may have a negative impact on long-term treatment outcomes in bCBT for MDD. This effect was not observed for TAU. These findings suggest that special attention to sleep disturbance symptoms might be warranted when MDD is treated with bCBT. Future studies should investigate the effect of implementing modules specifically targeting sleep disturbance symptoms in bCBT for MDD to improve long-term prognosis.

Clinical Effectiveness of Blended CBT Compared vs Face-to-Face CBT for adult depression: a Randomised Controlled Non-Inferiority Trial (Preprint)

Background

Internet-based cognitive behavioral therapy (iCBT) has been demonstrated to be cost- and clinically effective. There is a need, however, for increased therapist contact for some patient groups. Combining iCBT with traditional face-to-face (FtF) consultations in a blended format may produce a new treatment format (B-CBT) with multiple benefits from both traditional CBT and iCBT, such as individual adaptation, lower costs than traditional therapy, wide geographical and temporal availability, and possibly lower threshold to implementation.

Objective

The primary aim of this study is to compare directly the clinical effectiveness of B-CBT with FtF-CBT for adult major depressive disorder.

Methods

A 2-arm randomized controlled noninferiority trial compared B-CBT for adult depression with treatment as usual (TAU). The trial was researcher blinded (unblinded for participants and clinicians). B-CBT comprised 6 sessions of FtF-CBT alternated with 6-8 web-based CBT self-help modules. TAU comprised 12 sessions of FtF-CBT. All participants were aged 18 or older and met the diagnostic criteria for major depressive disorder and were recruited via a national iCBT clinic. The primary outcome was change in depression severity on the 9-item Patient Health Questionnaire (PHQ-9). Secondary analyses included client satisfaction (8-item Client Satisfaction Questionnaire [CSQ-8]), patient expectancy (Credibility and Expectancy Questionnaire [CEQ]), and working (Working Alliance Inventory [WAI] and Technical Alliance Inventory [TAI]). The primary outcome was analyzed by a mixed effects model including all available data from baseline, weekly measures, 3-, 6, and 12-month follow-up.

Results

A total of 76 individuals were randomized, with 38 allocated to each treatment group. Age ranged from 18 to 71 years (SD 13.96) with 56 (74%) females. Attrition rate was 20% (n=15), which was less in the FtF-CBT group (n=6, 16%) than in the B-CBT group (n=9, 24%). As many as 53 (70%) completed 9 or more sessions almost equally distributed between the groups (nFtF-CBT=27, 71%; nB-CBT=26, 68%). PHQ-9 reduced 11.38 points in the FtF-CBT group and 8.10 in the B-CBT group. At 6 months, the mean difference was a mere 0.17 points. The primary analyses confirmed large and significant within-group reductions in both groups (FtF-CBT: β=–.03; standard error [SE] 0.00; P<.001 and B-CBT: β=–.02; SE 0.00; P<.001). A small but significant interaction effect was observed between groups (β=.01; SE 0.00; P=.03). Employment status influenced the outcome differently between groups, where the B-CBT group was seen to profit more from not being full-time employed than the FtF group.

Conclusions

With large within-group effects in both treatment arms, the study demonstrated feasibility of B-CBT in Denmark. At 6 months’ follow-up, there appeared to be no difference between the 2 treatment formats, with a small but nonsignificant difference at 12 months. The study seems to demonstrate that B-CBT is capable of producing treatment effects that are close to FtF-CBT and that completion rates and satisfaction rates were comparable between groups. However, the study was limited by small sample size and should be interpreted with caution.

Trial Registration

ClinicalTrials.gov NCT02796573; https://clinicaltrials.gov/ct2/show/NCT02796573

International Registered Report Identifier (IRRID)

RR2-10.1186/s12888-016-1140-y

A Data-Driven Clustering Method for Discovering Profiles in the Dynamics of Major Depressive Disorder Using a Smartphone-Based Ecological Momentary Assessment of Mood

BACKGROUND

Although major depressive disorder (MDD) is characterized by a pervasive negative mood, research indicates that the mood of depressed patients is rarely entirely stagnant. It is often dynamic, distinguished by highs and lows, and it is highly responsive to external and internal regulatory processes. Mood dynamics can be defined as a combination of mood variability (the magnitude of the mood changes) and emotional inertia (the speed of mood shifts). The purpose of this study is to explore various distinctive profiles in real-time monitored mood dynamics among MDD patients in routine mental healthcare.

METHODS

Ecological momentary assessment (EMA) data were collected as part of the cross-European E-COMPARED trial, in which approximately half of the patients were randomly assigned to receive the blended Cognitive Behavioral Therapy (bCBT). In this study a subsample of the bCBT group was included (n = 287). As part of bCBT, patients were prompted to rate their current mood (on a 1-10 scale) using a smartphone-based EMA application. During the first week of treatment, the patients were prompted to rate their mood on three separate occasions during the day. Latent profile analyses were subsequently applied to identify distinct profiles based on average mood, mood variability, and emotional inertia across the monitoring period.

RESULTS

Overall, four profiles were identified, which we labeled as: (1) "very negative and least variable mood" (n = 14) (2) "negative and moderate variable mood" (n = 204), (3) "positive and moderate variable mood" (n = 41), and (4) "negative and highest variable mood" (n = 28). The degree of emotional inertia was virtually identical across the profiles.

CONCLUSIONS

The real-time monitoring conducted in the present study provides some preliminary indications of different patterns of both average mood and mood variability among MDD patients in treatment in mental health settings. Such varying patterns were not found for emotional inertia.

An Adjunctive Internet-Based Intervention to Enhance Treatment for Depression in Adults: Randomized Controlled Trial

BACKGROUND

Internet-based interventions promise to enhance the accessibility of mental health care for a greater number of people and in more remote places. Their effectiveness has been shown for the prevention and treatment of various mental disorders. However, their potential when delivered as add-on to conventional treatment (ie, blended care) is less clear.

OBJECTIVE

The aim of this study is to study the effectiveness of an internet intervention (ASCENSO) implemented in addition to face-to-face treatment as usual (TAU) for depression.

METHODS

A 2-arm, parallel-group, randomized controlled trial was conducted in an outpatient private mental health care center in Chile. In all, 167 adults, diagnosed with major depressive disorder, without severe comorbidities, and with internet access, were included. Eighty-four participants were assigned to the intervention group and received medical and psychological TAU from the mental health center plus access to the ASCENSO online platform. The control group (n=83) received only TAU. The ASCENSO platform includes psycho-educational information, depressive symptom monitoring and feedback, and managing emergencies based on the principles of cognitive behavioral therapy. Emergency management was mental health provider-assisted. TAU includes access to primary care physicians and psychiatrists, to a brief individual psychotherapy, and to medication when needed. The baseline questionnaires were administered in person, and 6- and 9-months assessments were conducted online. Depression symptoms and quality of life were measured by self-administered questionnaires, and treatment adherence was determined via the Mental Health Center's internal records. The usage of ASCENSO was assessed by server logs. Reduction on depressive symptomatology was considered as the primary outcome of the intervention and quality of life as a secondary outcome.

RESULTS

Of the 84 participants in the intervention group, 5 participants (6%) never accessed the online platform. Of the remaining 79 participants who accessed ASCENSO, 1 (1%, 1/79) did not answer any of the symptom questionnaire, and most participants (72/79, 91%) answered the monitoring questionnaires irregularly. The ASCENSO intervention implemented in addition to face-to-face care did not improve the outcome of the usual care delivered at the mental health center, either in terms of reduction of depressive symptoms (F_2,6087= 0.48; P=.62) or in the improvement of quality of life (EQ-5D-3L: F_2,7678=0.24; P=.79 and EQ-VAS: F_2,6670= 0.13; P=.88). In contrast, for the primary (F_2,850=78.25; P<.001) and secondary outcomes (EQ-5D-3L: F_2,1067=37.87; EQ-VAS: F_2,4390= 51.69; P<.001) in both groups, there was an improvement from baseline to 6 months (P<.001), but there was no change at 9 months. In addition, no effects on adherence to or use of TAU were found. Finally, the dropout rate for the face-to-face treatment component was 54% (45/84) for the intervention group versus 39% (32/83) for the control group (P=.07).

CONCLUSIONS

The fact that the adjunctive access to ASCENSO did not improve outcome could be due to both the rather high effectiveness of TAU and to patients' limited use of the online platform.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03093467; https://clinicaltrials.gov/ct2/show/NCT03093467.

Internet and Face-to-face Cognitive Behavioral Therapy for Postnatal Depression Compared With Treatment as Usual: Randomized Controlled Trial of MumMoodBooster

BACKGROUND

Previous research has confirmed that symptoms of postnatal depression (PND) can be ameliorated through internet-delivered psychological interventions. Advantages of internet-delivered treatment include anonymity, convenience, and catering to women who are unable to access face-to-face (FTF) treatments. To date, no research has examined the efficacy of such interventions compared directly with FTF treatments in women clinically diagnosed with PND.

OBJECTIVE

This study aims to compare the efficacy of one of the first web-based cognitive behavioral therapy (CBT) interventions (internet CBT+coach calls) for PND (MumMoodBooster [MMB]) with FTF-CBT in a randomized controlled trial (RCT).

METHODS

In this study, 116 postnatal women with a Diagnostic and Statistical Manual for Mental Disorders, Fourth Edition (DSM-IV) diagnosis of major or minor depression were randomized to MMB (39/116, 33.6%), FTF-CBT (39/116, 33.6%), or a treatment-as-usual (TAU) control condition (38/116, 32.8%). Diagnostic status was determined at baseline and at 21-week follow-up using the Structured Clinical Interview for the DSM-IV. Severity of anxiety and depressive symptoms was evaluated using the Depression Anxiety Stress Scales and the revised Beck Depression Inventory at baseline, 12-week follow-up (after treatment), and 21-week follow-up.

RESULTS

Of the 116 participants, 107 (92.2%) had a diagnosis of major depression at baseline. Rates of remission from a major or minor depressive episode at 21 weeks in both the FTF-CBT and MMB groups were superior to that of the TAU group (56.6% and 47.7% less likely to be depressed, respectively) and they were not significantly different from each other. Although remission rates differed between TAU and FTF-CBT, growth models showed that, in terms of symptom reduction across time, the FTF-CBT treatment was not significantly better than TAU. By comparison, MMB was statistically superior to both TAU and FTF-CBT in reducing symptoms of depression, anxiety, and stress from baseline to the 21-week follow-up (large and moderate effect sizes). Thus, after 21 weeks, the average symptom scores for depression and anxiety of women receiving MMB were approximately half those of women in both the TAU and FTF-CBT groups.

CONCLUSIONS

In this RCT, MMB was at least as effective as FTF-CBT in achieving remission from a diagnosed PND episode. MMB was superior to TAU and FTF-CBT in encouraging and maintaining reduction of symptom severity over the 21-week follow-up for depressed postnatal women. These findings replicate results of prior studies on MMB that showed clinically significant improvements in depressive symptoms, and they provide direct empirical support that internet-delivered treatment for depressed postnatal women is a viable alternative to FTF treatment. The generalizability of the results needs to be examined in future research, as RCTs of internet-based versus FTF treatments necessarily involve a subset of people who are willing to undertake either modality of treatment.

TRIAL REGISTRATION

Australia and New Zealand Clinical Trials Registry (ANZCTR) ACTRN12613000881730; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=364683&isReview=true.

Examining the Theoretical Framework of Behavioral Activation for Major Depressive Disorder: Smartphone-Based Ecological Momentary Assessment Study

BACKGROUND

Behavioral activation (BA), either as a stand-alone treatment or as part of cognitive behavioral therapy, has been shown to be effective for treating depression. The theoretical underpinnings of BA derive from Lewinsohn et al's theory of depression. The central premise of BA is that having patients engage in more pleasant activities leads to them experiencing more pleasure and elevates their mood, which, in turn, leads to further (behavioral) activation. However, there is a dearth of empirical evidence about the theoretical framework of BA.

OBJECTIVE

This study aims to examine the assumed (temporal) associations of the 3 constructs in the theoretical framework of BA.

METHODS

Data were collected as part of the "European Comparative Effectiveness Research on Internet-based Depression Treatment versus treatment-as-usual" trial among patients who were randomly assigned to receive blended cognitive behavioral therapy (bCBT). As part of bCBT, patients completed weekly assessments of their level of engagement in pleasant activities, the pleasure they experienced as a result of these activities, and their mood over the course of the treatment using a smartphone-based ecological momentary assessment (EMA) application. Longitudinal cross-lagged and cross-sectional associations of 240 patients were examined using random intercept cross-lagged panel models.

RESULTS

The analyses did not reveal any statistically significant cross-lagged coefficients (all P>.05). Statistically significant cross-sectional positive associations between activities, pleasure, and mood levels were identified. Moreover, the levels of engagement in activities, pleasure, and mood slightly increased over the duration of the treatment. In addition, mood seemed to carry over, over time, while both levels of engagement in activities and pleasurable experiences did not.

CONCLUSIONS

The results were partially in accordance with the theoretical framework of BA, insofar as the analyses revealed cross-sectional relationships between levels of engagement in activities, pleasurable experiences deriving from these activities, and enhanced mood. However, given that no statistically significant temporal relationships were revealed, no conclusions could be drawn about potential causality. A shorter measurement interval (eg, daily rather than weekly EMA reports) might be more attuned to detecting potential underlying temporal pathways. Future research should use an EMA methodology to further investigate temporal associations, based on theory and how treatments are presented to patients.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT02542891, https://clinicaltrials.gov/ct2/show/NCT02542891; German Clinical Trials Register, DRKS00006866, https://tinyurl.com/ybja3xz7; Netherlands Trials Register, NTR4962, https://www.trialregister.nl/trial/4838; ClinicalTrials.Gov, NCT02389660, https://clinicaltrials.gov/ct2/show/NCT02389660; ClinicalTrials.gov, NCT02361684, https://clinicaltrials.gov/ct2/show/NCT02361684; ClinicalTrials.gov, NCT02449447, https://clinicaltrials.gov/ct2/show/NCT02449447; ClinicalTrials.gov, NCT02410616, https://clinicaltrials.gov/ct2/show/NCT02410616; ISRCTN registry, ISRCTN12388725, https://www.isrctn.com/ISRCTN12388725.

The 9-year clinical course of depressive and anxiety disorders: New NESDA findings

BACKGROUND

In longitudinal research, switching between diagnoses should be considered when examining patients with depression and anxiety. We investigated course trajectories of affective disorders over a nine-year period, comparing a categorical approach using diagnoses to a dimensional approach using symptom severity.

METHOD

Patients with a current depressive and/or anxiety disorder at baseline (N = 1701) were selected from the Netherlands Study of Depression and Anxiety (NESDA). Using psychiatric diagnoses, we described 'consistently recovered,' 'intermittently recovered,' 'intermittently recurrent', and 'consistently chronic' at two-, four-, six-, and nine-year follow-up. Additionally, latent class growth analysis (LCGA) using depressive, anxiety, fear, and worry symptom severity scores was used to identify distinct classes.

RESULTS

Considering the categorical approach, 8.5% were chronic, 32.9% were intermittently recurrent, 37.6% were intermittently recovered, and 21.0% remained consistently recovered from any affective disorder at nine-year follow-up. In the dimensional approach, 66.6% were chronic, 25.9% showed partial recovery, and 7.6% had recovered.

LIMITATIONS

30.6% of patients were lost to follow-up. Diagnoses were rated by the interviewer and questionnaires were completed by the participant.

CONCLUSIONS

Using diagnoses alone as discrete categories to describe clinical course fails to fully capture the persistence of affective symptoms that were observed when using a dimensional approach. The enduring, fluctuating presence of subthreshold affective symptoms likely predisposes patients to frequent relapse. The commonness of subthreshold symptoms and their adverse impact on long-term prognoses deserve continuous clinical attention in mental health care as well further research.

E-Health Practices and Technologies: A Systematic Review from 2014 to 2019

E-health can be defined as a set of technologies applied with the help of the internet, in which healthcare services are provided to improve quality of life and facilitate healthcare delivery. As there is a lack of similar studies on the topic, this analysis uses a systematic literature review of articles published from 2014 to 2019 to identify the most common e-health practices used worldwide, as well as the main services provided, diseases treated, and the associated technologies that assist in e-health practices. Some of the key results were the identification of the four most common practices used (mhealth or mobile health; telehealth or telemedicine; technology; and others) and the most widely used technologies associated with e-health (IoT, cloud computing, Big Data, security, and systems).

Does it blend? Exploring therapist fidelity in blended CBT for anxiety disorders

Blended cognitive-behavioural therapy (bCBT) combines face-to-face CBT (FtFCBT) and Internet-based CBT (iCBT) into one integrated treatment protocol, opening up new ways to deliver therapy, increase cost-effectiveness and resolve scarcity of therapist availability. When traditional therapy is transformed into a new format, there is a need to evaluate whether principles of the new protocol are consistently applied. This study aimed to explore therapist fidelity to bCBT protocols for anxiety disorders in specialised mental health care and to assess whether fidelity is related to patient characteristics. Adult patients (N = 44) received bCBT within a randomised controlled trial. Ratio of FtF to online sessions, session frequency and therapist adherence to instructions were assessed. Overall therapist fidelity with regard to ratio of blending, session frequency and instructions was high. Correlations were found between patients' share of online sessions and both session frequency (r = 0.373, p = .013), as well as patient computer experience (r = 0.314, p = .038). Adherence to instructions in FtF sessions was based on a subset of patients (n = 23) and should therefore be interpreted with caution. The blended approach was generally delivered as intended, indicating that the format is feasible in specialised mental health.

Implementing Digital Trainings within Medical Rehabilitations: Improvement of Mental Health and Synergetic Outcomes with Healthcare Service

The need for new technologies in healthcare services has been stressed. However, little is known about the effectiveness of digital interventions integrated in psychosomatic rehabilitation processes. Data from 724 patients from psychosomatic rehabilitation clinics were analyzed with regard to the effectiveness of digital trainings indicated by a change in symptoms related to depression, anxiety, stress, and loneliness from pre– to post–rehabilitation. Rehabilitation satisfaction was examined in association with reaching rehabilitation goals and satisfaction with communication. A mixed repeated measures analyses of covariance, analyses of covariance, and hierarchical stepwise regression analyses were performed. Results indicated a superior effectiveness for the intervention group receiving all offered digital treatments in addition to the regular face-to-face rehabilitation program with regard to symptoms of depression (F (2674) = 3.93, p < 0.05, η_p² = 0.01), anxiety (F (2678) = 3.68, p < 0.05, η_p² = 0.01) post-rehabilitation, with large effect sizes for both depression (d = 1.28) and anxiety (d = 1.08). In addition, rehabilitation satisfaction was positively associated with reaching rehabilitation goals and perceived communication with healthcare workers. Digital interventions appeared effective in supporting mental health of psychosomatic rehabilitation patients’ post-rehabilitation. These findings support the inclusion of multidisciplinary and interdisciplinary digital and face-to-face treatment programs and call for more implementations of new technologies in a context of complexity to improve health and healthcare service.

Discovering different profiles in the dynamics of depression based on real-time monitoring of mood: a first exploration

BACKGROUND

Although depression is typically characterized by a persistent depressed mood, mood dynamics do seem to vary across a depressed population. Heterogeneity of mood variability (magnitude of changes) and emotional inertia (speed at which mood shifts) is seen in clinical practice. However, studies investigating the heterogeneity of these mood dynamics are still scarce. The aim of the present study is to explore different distinctive profiles in real-time monitored mood dynamics among depressed persons.

METHODS

After completing baseline measures, mildly-to-moderately depressed persons (n = 37) were prompted to rate their current mood (1-10 scale) on their smartphones, 3 times a day for 7 consecutive days. Latent profile analyses were applied to identify profiles based on average mood, variability of mood and emotional inertia as reported by the participants.

RESULTS

Two profiles were identified in this sample. The overwhelming majority of the sample belonged to profile 1 (n = 31). Persons in profile 1 were characterized by a mood just above the cutoff for positive mood (M = 6.27), with smaller mood shifts (lower variability [SD = 1.05]) than those in profile 2 (n = 6), who displayed an overall negative mood (M = 4.72) and larger mood shifts (higher variability [SD = 1.95]) but at similar speed (emotional inertia) (AC = 0.19, AC = 0.26, respectively).

CONCLUSIONS

The present study provides preliminary indications for patterns of average mood and mood variability, but not emotional inertia, among mildly-to-moderately depressed persons.

Differential Effects of Psychological Interventions in Online and Face-to-Face Settings on DSM-5 and ICD-11 Maladaptive Trait Domains: An Exploratory Pilot Study

While mental health treatments have proven to be effective for a range of mental health problems, there is comparably little research on its effects on personality disorders or difficulty (PD). New dimensional conceptualizations of PD such as the ICD-11 PD model enable the cost- and time-effective dimensional assessment of severity and style of PD. Furthermore, they constitute a promising tool to investigate PD, not only as a treatment endpoint but also as a predictive or influencing factor for mental health treatments. In this study, we investigated the effects in two different mental health treatment settings [online (N = 38); face-to-face and blended [FTF/blended] (N = 35)] on the reduction of maladaptive personality traits as well as the interaction between maladaptive personality patterns and the response on primary endpoints (i.e., mental distress). Results indicate that both treatment settings have comparable within-group effects on the reduction of distress symptoms, while the treatment in the FTF/blended setting seems to have a stronger impact on the reduction of maladaptive traits. Further, reduction of maladaptive trait expressions was a reliable predictor of treatment response in the FTF/blended setting while explaining less variance in the online setting. Beyond the promising findings on the utility of maladaptive trait change as an outcome measure, we discuss possible applications as an information source for treatment decisions.

A Mobile Intervention to Promote Low-Risk Drinking Habits in Young Adults: Protocol for a Randomized Controlled Trial

BACKGROUND

Young adults' drinking habits commonly exceed recommendations for low-risk drinking, which may have a negative effect on their mental, social, and physical health. As smartphones are highly accessible to young adults, mobile apps could be used to support young adults to develop low-risk drinking habits and improve their general health.

OBJECTIVE

The objective of this study is to evaluate the effectiveness of Boozebuster, a self-guided mobile app based on healthy lifestyle-related components that aim to develop and maintain low-risk drinking habits among young adults.

METHODS

This two-arm, parallel-group randomized controlled trial will investigate whether a 6-week self-guided mobile intervention (Boozebuster) targeting drinking behavior is more effective than a minimal intervention consisting of an educational website on alcohol use and its consequences for young adults. We will recruit 506 young adults (aged 18-30 years) from the Netherlands via an open recruitment strategy by using an open access website. All outcomes will be self-assessed through questionnaires. The primary outcome is the quantity and frequency of alcohol consumption in standard drinks (10 g ethanol per standard drink) per month (timeline follow-back [TLFB]). Secondary outcomes include binge-drinking sessions per month, alcohol-related problem severity (Rutgers Alcohol Problem Index), cannabis use frequency and quantity in grams (TLFB), depressive symptoms (Center for Epidemiological Studies Depression Scale), perceived stress (Perceived Stress Scale), engagement (Twente Engagement with eHealth Technologies Scale), readiness to change (Readiness to Change Questionnaire), mental well-being (Warwick-Edinburgh Mental Wellbeing Scale), trauma and COVID-19-related trauma (Short-Form Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders, 5th Edition), impulsivity (Urgency, Premeditation, Perseverance, Sensation Seeking, Positive Urgency Impulsive Behavior Scale), study or work performance (Individual Work Performance Questionnaire), and treatment adherence. Baseline (T0), 6-week postbaseline (T1), and 3-month postbaseline (T2) assessments will be conducted and analyzed on the basis of the intention-to-treat principle using multilevel mixed modeling analyses.

RESULTS

Recruitment began in September 2020. We received 933 registrations via our study information website; 506 participants have completed the T0 assessment, 336 participants have completed the T1 assessment, and 308 participants have completed the T2 assessment as of May 2021. The study is still in progress, and results will be reported in 2021 and 2022.

CONCLUSIONS

Self-guided mobile interventions based on a lifestyle approach might be an attractive approach for young adults due to their preference on self-reliance, healthy living, and increased perceived anonymity. Such interventions are yet understudied, and it is known that interventions addressing solely problem drinking are less appealing to young adults. We hypothesize that the Boozebuster mobile app will effectively reduce drinking levels compared to an alcohol educational website (control condition). If effective, our intervention could be an inexpensive and scalable public health intervention to improve drinking habits in young adults.

TRIAL REGISTRATION

Netherlands Trial Register NL8828; https://www.trialregister.nl/trial/8828.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/29750.

The working alliance in blended versus face-to-face cognitive therapy for depression: A secondary analysis of a randomized controlled trial

INTRODUCTION

We explored the working alliance as measured by both clients and therapists. The working alliance has been known to predict the outcome of psychotherapy and is often considered an important common factor. This study raised the question of how to conceptualize the working alliance in the blended format.

METHODS

This was an exploratory study derived from a randomized controlled trial comparing bCBT and face-to-face cognitive behavioural therapy (ftf CBT) on depression. The change in depressive symptoms was measured with the Patient Health Questionnaire (PHQ-9) and the working alliance was measured using the Working Alliance Inventory.

ANALYSES

Correlation coefficients were calculated for the working alliance as reported by clients and therapists, working alliance was then examined at item and dimension level (task, bond, goal). Linear regression models were applied to investigate the predictive value of the working alliance on treatment outcome. Interaction between the level of working alliance and treatment condition was also considered.

RESULTS

Client and therapist working alliance ratings correlated at r = 0.44 and clients rated the working alliance higher than therapists (x̄ _clients  = 48.6, x̄ _therapists  = 44.6). ftf CBT and bCBT had comparable joint working alliance ratings (x̄ _ftf  = 46.4, x̄ _bCBT  = 46.8). Items had little deviation apart from item 4 with high positive values. The level of working alliance from the total sample did not significantly predict outcome based on the client's perspective. Contrarily, seen from the therapist's perspective, it did (b = 0.00, p = .044). Using the mean from these predictors as a composite variable, was also significant (b = 0.00, p = .039, R² _adj  = 0.07). There was no significant interaction with treatment condition.

DISCUSSION

Clients and therapists may lay emphasis on different aspects of the working alliance. The finding that therapist-rated working alliance was better than client working alliance at predicting outcome went against common findings; this pattern may be specific to bCBT.

CONCLUSION

Clients rated the working alliance slightly higher than therapists on average. Clients and therapists as well as treatment conditions had different profiles on dimension deviations. Therapist ratings of the working alliance appeared to better predict treatment outcome than client ratings. Joint working alliance predicted outcome using client and therapist composite means. The working alliance was equally strong in ftf CBT and bCBT. The absence of interaction with treatment condition indicated that the working alliance was equally predictive of outcome in ftf CBT as in bCBT.

Clinical and Cost-Effectiveness of PSYCHOnlineTHERAPY: Study Protocol of a Multicenter Blended Outpatient Psychotherapy Cluster Randomized Controlled Trial for Patients With Depressive and Anxiety Disorders

Introduction: Internet- and mobile-based interventions (IMIs) and their integration into routine psychotherapy (i.e., blended therapy) can offer a means of complementing psychotherapy in a flexible and resource optimized way. Objective: The present study will evaluate the non-inferiority, cost-effectiveness, and safety of two versions of integrated blended psychotherapy for depression and anxiety compared to standard cognitive behavioral therapy (CBT). Methods: A three-armed multicenter cluster-randomized controlled non-inferiority trial will be conducted comparing two implementations of blended psychotherapy (PSYCHOnlineTHERAPYfix/flex) compared to CBT. Seventy-five outpatient psychotherapists with a CBT-license will be randomized in a 1:1:1 ratio. Each of them is asked to include 12 patients on average with depressive or anxiety disorders resulting in a total sample size of N = 900. All patients receive up to a maximum of 16 psychotherapy sessions, either as routine CBT or alternating with Online self-help sessions (fix: 8/8; flex: 0-16). Assessments will be conducted at patient study inclusion (pre-treatment) and 6, 12, 18, and 24 weeks and 12 months post-inclusion. The primary outcome is depression and anxiety severity at 18 weeks post-inclusion (post-treatment) using the Patient Health Questionnaire Anxiety and Depression Scale. Secondary outcomes are depression and anxiety remission, treatment response, health-related quality of life, patient satisfaction, working alliance, psychotherapy adherence, and patient safety. Additionally, several potential moderators and mediators including patient characteristics and attitudes toward the interventions will be examined, complemented by ecological day-to-day digital behavior variables via passive smartphone sensing as part of an integrated smart-sensing sub-study. Data-analysis will be performed on an intention-to-treat basis with additional per-protocol analyses. In addition, cost-effectiveness and cost-utility analyses will be conducted from a societal and a public health care perspective. Additionally, qualitative interviews on acceptance, feasibility, and optimization potential will be conducted and analyzed. Discussion: PSYCHOnlineTHERAPY will provide evidence on blended psychotherapy in one of the largest ever conducted psychotherapy trials. If shown to be non-inferior and cost-effective, PSYCHOnlineTHERAPY has the potential to innovate psychotherapy in the near future by extending the ways of conducting psychotherapy. The rigorous health care services approach will facilitate a timely implementation of blended psychotherapy into standard care. Trial Registration: The trial is registered in the German Clinical Trials Register (DRKS00023973; date of registration: December 28th 2020).

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.

BLEND-A: blending internet treatment into conventional face-to-face treatment for alcohol use disorder - a study protocol

BACKGROUND

A major challenge to psychological treatment for alcohol use disorder (AUD) is patient non-compliance. A promising new treatment approach that is hypothesized to increase patient compliance is blended treatment, consisting of face-to-face contact with a therapist combined with modules delivered over the internet within the same protocol. While this treatment concept has been developed and proven effective for a variety of mental disorders, it has not yet been examined for AUD.

AIMS

The study described in this protocol aims to examine and evaluate patient compliance with blended AUD treatment as well as the clinical and cost effectiveness of such treatment compared to face-to-face treatment only.

METHODS

The study design is a pragmatic, stepped-wedge cluster randomized controlled trial. The included outpatient institutions (planned number of patients: n = 1800) will be randomized in clusters to implement either blended AUD treatment or face-to-face treatment only, i.e. treatment as usual (TAU). Both treatment approaches consist of motivational interviewing and cognitive behavioral therapy. Data on sociodemographics, treatment (e.g. intensity, duration), type of treatment conclusion (compliance vs. dropout), alcohol consumption, addiction severity, consequences of drinking, and quality of life, will be collected at treatment entry, at treatment conclusion, and 6 months after treatment conclusion. The primary outcome is compliance at treatment conclusion, and the secondary outcomes include alcohol consumption and quality of life at six-months follow-up. Data will be analyzed with an Intention-to-treat approach by means of generalized linear mixed models with a random effect for cluster and fixed effect for each step. Also, analyses evaluating cost-effectiveness will be conducted.

DISCUSSION

Blended treatment may increase treatment compliance and thus improve treatment outcomes due to increased flexibility of the treatment course. Since this study is conducted within an implementation framework it can easily be scaled up, and when successful, blended treatment has the potential to become an alternative offer in many outpatient clinics nationwide and internationally.

TRIAL REGISTRATION

Clinicaltrials.gov .: NCT04535258 , retrospectively registered 01.09.20.

Blended transdiagnostic group CBT for emotional disorders: A feasibility trial protocol

INTRODUCTION

Emotional disorders (anxiety and depressive disorders) are a relevant public health concern associated with high prevalence, high costs, and important disability. Therefore, research priorities include designing and testing cost-effective interventions to reach everyone in need. Internet-delivered interventions for emotional disorders are effective and can help to disseminate and implement evidence-based treatments. However, although these treatments are generally effective, not all patients benefit from this treatment format equally. Blended treatments are a new form of intervention that combines the strengths of face-to-face and Internet approaches. Nevertheless, research on blended interventions has focused primarily on individual therapy, and less attention has been paid to the potential of using this format in group psychotherapy. This study aims to analyze the feasibility of blended transdiagnostic group CBT for emotional disorders. The current article describes the study protocol for this trial.

METHOD AND ANALYSIS

A one-armed pilot trial will be conducted. Participants will be 30 adults suffering from DSM-5 anxiety and/or depressive disorders. The treatment consists of a blended transdiagnostic group intervention delivered during a period of 24 weeks. Groups of 6 to 10 patients will attend a total of eight 2-hour, face-to-face sessions, alternated with the use of an online platform where they will find the contents of the treatment protocol. The intervention has four core components: present-focused awareness, cognitive flexibility, identification and modification of behavioral and cognitive patterns of emotional avoidance, and interoceptive and situational exposure. These components are delivered in 16 modules. Assessments will be performed at baseline, during the treatment, at post-treatment, and at 3-month follow-up. Clinical and treatment acceptability outcomes will be included. Quantitative and qualitative data (participants' views about blended group psychotherapy) will be analyzed.

ETHICS AND DISSEMINATION

The trial has received ethical approval from the Ethics Committee of Universitat Jaume I (September 2019) and will be conducted in accordance with the study protocol, the Declaration of Helsinki, and good clinical practice. The results of this study will be disseminated by presentation at conferences and will be submitted for publication in a peer-reviewed journal.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04008576. Registered 05 July 2019, https://clinicaltrials.gov/ct2/show/NCT04008576.

The BEACON study: protocol for a cohort study as part of an evaluation of the effectiveness of smartphone-assisted problem-solving therapy in men who present with intentional self-harm to emergency departments in Ontario

BACKGROUND

Patients who present to emergency departments after intentional self-harm are at an increased risk of dying by suicide. This applies particularly to men, who represent nearly two-thirds of those who die by suicide in Ontario. One way of potentially addressing this gap is to offer a course of blended problem-solving therapy, comprised of a brief course of evidence-based psychotherapy for individuals at risk for suicide, facilitated by the use of a patient-facing smartphone application and a clinician-facing "dashboard." This approach has the potential to combine the benefits of face-to-face therapy and technology to create a novel intervention.

METHODS

This is a cohort study nested within a larger pragmatic multicentre pre- and post-design cluster randomised trial. Suicidal ideation assessed by the Beck Scale for Suicide Ideation is the primary outcome variable. Secondary outcome measures include depression (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder 7-item scale), post-traumatic stress disorder (Primary Care PTSD Screen), health-related quality of life (EuroQol 5-dimension 5-level questionnaire), meaning in life (Experienced Meaning in Life Scale), perceived social supports (Multidimensional Scale of Perceived Social Support), alcohol use (Alcohol Use Disorders Identification Test), drug use (Drug Abuse Screening Test Short Form 10), problem-solving skills (Social Problem-Solving Inventory-Revised Short Form), and self-reported healthcare costs, as well as health service use measured using Ontario administrative health data. A process evaluation will also be conducted following study completion.

DISCUSSION

The cohort study will test whether better adherence to the intervention results in better outcomes. The value of the cohort study design is that we can examine in more detail certain subgroups or other variables that are not available in the larger cluster randomised trial. This trial will aim to improve standards by informing best practice in management of men who self-harm and present to hospitals in Ontario.

TRIAL REGISTRATION

ClinicalTrials.gov , NCT03473535 . Registered on March 22, 2018.

Improving adherence to an online intervention for low mood with a virtual coach: study protocol of a pilot randomized controlled trial

Background

Internet-based cognitive-behavioral therapy (iCBT) is more effective when it is guided by human support than when it is unguided. This may be attributable to higher adherence rates that result from a positive effect of the accompanying support on motivation and on engagement with the intervention. This protocol presents the design of a pilot randomized controlled trial that aims to start bridging the gap between guided and unguided interventions. It will test an intervention that includes automated support delivered by an embodied conversational agent (ECA) in the form of a virtual coach.

Methods/design

The study will employ a pilot two-armed randomized controlled trial design. The primary outcomes of the trial will be (1) the effectiveness of iCBT, as supported by a virtual coach, in terms of improved intervention adherence in comparison with unguided iCBT, and (2) the feasibility of a future, larger-scale trial in terms of recruitment, acceptability, and sample size calculation. Secondary aims will be to assess the virtual coach’s effect on motivation, users’ perceptions of the virtual coach, and general feasibility of the intervention as supported by a virtual coach. We will recruit N = 70 participants from the general population who wish to learn how they can improve their mood by using Moodbuster Lite, a 4-week cognitive-behavioral therapy course. Candidates with symptoms of moderate to severe depression will be excluded from study participation. Included participants will be randomized in a 1:1 ratio to either (1) Moodbuster Lite with automated support delivered by a virtual coach or (2) Moodbuster Lite without automated support. Assessments will be taken at baseline and post-study 4 weeks later.

Discussion

The study will assess the preliminary effectiveness of a virtual coach in improving adherence and will determine the feasibility of a larger-scale RCT. It could represent a significant step in bridging the gap between guided and unguided iCBT interventions.

Trial registration

Netherlands Trial Register (NTR) NL8110. Registered on 23 October 2019.

Towards a conceptual framework of the working alliance in a blended low-intensity cognitive behavioural therapy intervention for depression in primary mental health care: a qualitative study

OBJECTIVES

To examine and adapt a conceptual framework of the working alliance (WA) in the context of a low-intensity blended (psychological well-being practitioner (PWP) plus computerised program) cognitive behavioural therapy intervention (b-CBT) for depression.

DESIGN

Patient involvement was enlisted to collaboratively shape the design of the project from the onset, before data collection. In-depth semi-structured interviews were carried out with participants who experienced b-CBT as part of the E-compared trial. A thematic analysis was conducted using a constant comparative method informed by grounded theory.

SETTING

Recruitment was carried out in four psychological primary care services across the UK.

PARTICIPANTS

Nineteen trial participants with major depressive disorder who completed at least one computerised program and face-to-face session with a PWP in the b-CBT arm were recruited to the study.

RESULTS

Qualitative interviews that were guided by WA theory and patient involvement, revealed four themes: (1) a healthcare provider (PWP and computerised program) with good interpersonal competencies for building a working relationship with the client ('bond'); (2) collaborative efforts between the client and the provider to appropriately identify what the client hopes to achieve through therapy ('goals'); (3) the selection of acceptable therapeutic activities that address client goals and the availability of responsive support ('task') and (4) the promotion of active engagement and autonomous problem solving ('usability heuristics'). Participants described how the PWP and computerised program uniquely and collectively contributed to different WA needs.

CONCLUSIONS

This study is the first to offer a preliminary conceptual framework of WA in b-CBT for depression, and how such demands can be addressed through blended PWP-computerised program delivery. These findings can be used to promote WA in technological design and clinical practice, thereby promoting engagement to b-CBT interventions and effective deployment of practitioner and program resources.

TRIAL REGISTRATION NUMBER

ISRCTN12388725.

Advantages and disadvantages of online and blended therapy: Replication and extension of findings on psychotherapists' appraisals

Therapists hold a key role for the uptake of digital mental health interventions (DMHI) within regular care services but have demonstrated cautious attitudes towards such interventions. It is relevant to explore in detail what factors may positively influence therapists' perception when considering DMHI implementation within routine care. We recently assessed therapist views towards Internet-based and blended treatment in Austria (low implementation level). The present study aims at testing the reliability of previous findings, and moreover, it compares therapists' appraisals to a country with advanced DMHI implementation (Sweden). An online survey was conducted February through June of 2019. Respondents were recruited via email and social media. The survey assessed first-hand experience with Internet-based treatment (IT) and blended treatment (BT). To start, the survey presented a short informational video to half of the respondents, then assessed therapists' views on 17 advantages and 13 disadvantages of IT and BT on 6-point Likert scales. In total N = 300 therapists responded to the invitation, of which N = 165 provided full survey data (Germany 114/220, 52%; Sweden 51/80, 64%). German therapists rated the advantages of IT and BT as neutral (IT, M = 3.6; BT, M = 3.8) and to some extent agreed with disadvantages of IT (IT, M = 4.5; BT, M = 3.5). In comparison, Swedish therapists rated significantly greater advantages (IT, M = 4.6; BT, M = 4.5) and less disadvantages (IT, M = 3.2; BT, M = 2.8). Effect sizes ranged from d = 0.89 to d = 1.83; all P's < .001. Those with first-hand experience with DMHI reported more positive appraisals in both countries. No significant effect was found for exposure to the short informational video. The German sample represented essential characteristics of current German therapists; in comparison Swedish respondents skewed towards younger less experienced therapists (P's < .001). Those confounders accounted for a small non-significant proportion of variance (0.1-4.7%). We found that therapists considered blended treatment to have less disadvantages than Internet treatment, and that first-hand experience with DMHI, but not exposure to an acceptance facilitating video clip, predicted greater acceptability on individual level. The responses among German therapists closely resembled findings from our preceding study in Austria, indicating that reliable results can be achieved in small survey studies if sample and population parameters correspond. Swedish therapists held significantly more favorable attitudes towards both interventions. The comparison between countries, however, is limited by a number of potential confounding variables.

Immediate and long-term effectiveness of adding an Internet intervention for depression to routine outpatient psychotherapy: Subgroup analysis of the EVIDENT trial

OBJECTIVE

To examine immediate and long-term effectiveness of an adjunctive Internet intervention for depression in a large sample of patients undergoing routine psychotherapy.

METHOD

The current study evaluated a subgroup of patients from the Evident trial, a randomized investigation of a 12-week minimally guided Internet intervention (Deprexis) for the treatment of mild to moderate depression. 340 adults (mean age = 43.3 years; 71.7 % female) of the original sample received routine outpatient psychotherapy during the trial period, resulting in a standard psychotherapy group (n = 174) and an augmented therapy group (n = 166). Outcomes were assessed at baseline, post-treatment and 6-month follow-up.

RESULTS

Intention-to-treat analyses indicated that combined treatment led to a greater reduction in symptoms of depression (effect size d = 0.32; p = .002), improved therapeutic progress (d = 0.36; p = .003), and higher mental health-related quality of life (d = 0.34; p = .004). There was no intervention effect on physical health-related quality of life. The same pattern was found at 6-month follow-up, and adjunctive treatment also resulted in increased rates of clinical improvement. Treatment success was independent from therapeutic orientation of combined face-to-face therapy.

CONCLUSION

Results indicate that the adjunctive use of the investigated intervention can produce additional and lasting effects in routine outpatient psychotherapy for mild to moderate levels of depression. The study adds to the ongoing evidence on augmented effects of blended treatment. Future studies should investigate different types of blends in diverse populations by means of change-sensitive assessment strategies.

Working Alliance Inventory for Online Interventions-Short Form (WAI-TECH-SF): The Role of the Therapeutic Alliance between Patient and Online Program in Therapeutic Outcomes

Background: Therapeutic alliance (TA) between the patient and therapist has been related to positive therapeutic outcomes. Because Internet-based interventions are increasingly being implemented, a tool is needed to measure the TA with Internet-based self-guided programs. The Working Alliance Inventory for online interventions (WAI-TECH-SF) was adapted based on the WAI Short Form (Hatcher & Gillaspy, 2006). The objectives of this study were: (1) to analyse the psychometric properties of the WAI-TECH-SF; (2) to explore the differences in the WAI-TECH-SF scores according to different categories of the sample; and (3) to analyse whether the WAI-TECH-SF can predict therapeutic outcomes and satisfaction with the treatment. Methods: 193 patients diagnosed with depression were included and received blended Cognitive-Behavioural Therapy. Measures of preferences, satisfaction, and credibility about the treatment, TA with the online program, depressive symptoms, and satisfaction with the treatment were administered. Results: An exploratory factor analysis revealed a one-dimensional structure with adequate internal consistency. Linear regression analyses showed that the WAI-TECH-SF predicted changes in depressive symptoms and satisfaction with the treatment. Conclusions: WAI-TECH-SF is a reliable questionnaire to assess the TA between the patient and the online program, which is associated with positive therapeutic outcomes and satisfaction with the treatment.

Barriers and Facilitators for Referrals of Primary Care Patients to Blended Internet-Based Psychotherapy for Depression: Mixed Methods Study of General Practitioners' Views

BACKGROUND

Major depressive disorder (MDD) is highly prevalent and often managed by general practitioners (GPs). GPs mostly prescribe medication and show low referral rates to psychotherapy. Many patients remain untreated. Blended psychotherapy (bPT) combines internet-based interventions with face-to-face psychotherapy and could increase treatment access and availability. Effectively implementing bPT in routine care requires an understanding of professional users' perspectives and behavior.

OBJECTIVE

This study aims to identify barriers and facilitators perceived by GPs in referring patients to bPT. Explanations for variations in referral rates were examined.

METHODS

Semistructured interviews were conducted with 12 of 110 GPs participating in a German randomized controlled trial (RCT) to investigate barriers to and facilitators for referrals to bPT for MDD (10 web-based modules, app-based assessments, and 6 face-to-face sessions). The interview guide was based on the theoretical domains framework. The interviews were audio recorded and transcribed verbatim, and the qualitative content was analyzed by 2 independent coders (intercoder agreement, k=0.71). A follow-up survey with 12 interviewed GPs enabled the validation of emergent themes. The differences in the barriers and facilitators identified between groups with different characteristics (eg, GPs with high or low referral rates) were described. Correlations between referrals and characteristics, self-rated competences, and experiences managing depression of the RCT-GPs (n=76) were conducted.

RESULTS

GPs referred few patients to bPT, although varied in their referral rates, and interviewees referred more than twice as many patients as RCT-GPs (interview-GPs: mean 6.34, SD 9.42; RCT-GPs: mean 2.65, SD 3.92). A negative correlation was found between GPs' referrals and their self-rated pharmacotherapeutic competence, r(73)=-0.31, P<.001. The qualitative findings revealed a total of 19 barriers (B) and 29 facilitators (F), at the levels of GP (B=4 and F=11), patient (B=11 and F=9), GP practice (B=1 and F=3), and sociopolitical circumstances (B=3 and F=6). Key barriers stated by all interviewed GPs included "little knowledge about internet-based interventions" and "patients' lack of familiarity with technology/internet/media" (number of statements, each k=22). Key facilitators were "perceived patient suitability, e.g. well-educated, young" (k=22) and "no conflict with GP's role" (k=16). The follow-up survey showed a very high agreement rate of at least 75% for 71% (34/48) of the identified themes. Descriptive findings indicated differences between GPs with low and high referral rates in terms of which and how many barriers (low: mean 9.75, SD 1.83; high: mean 10.50, SD 2.38) and facilitators (low: mean 18.25, SD 4.13; high: mean 21.00; SD 3.92) they mentioned.

CONCLUSIONS

This study provides insights into factors influencing GPs' referrals to bPT as gatekeepers to depression care. Barriers and facilitators should be considered when designing implementation strategies to enhance referral rates. The findings should be interpreted with care because of the small and self-selected sample and low response rates.

Adherence to Blended or Face-to-Face Smoking Cessation Treatment and Predictors of Adherence: Randomized Controlled Trial

BACKGROUND

Blended face-to-face and web-based treatment is a promising way to deliver smoking cessation treatment. Since adherence has been shown to be an indicator of treatment acceptability and a determinant for effectiveness, we explored and compared adherence and predictors of adherence to blended and face-to-face alone smoking cessation treatments with similar content and intensity.

OBJECTIVE

The objectives of this study were (1) to compare adherence to a blended smoking cessation treatment with adherence to a face-to-face treatment; (2) to compare adherence within the blended treatment to its face-to-face mode and web mode; and (3) to determine baseline predictors of adherence to both treatments as well as (4) the predictors to both modes of the blended treatment.

METHODS

We calculated the total duration of treatment exposure for patients (N=292) of a Dutch outpatient smoking cessation clinic who were randomly assigned either to the blended smoking cessation treatment (n=130) or to a face-to-face treatment with identical components (n=162). For both treatments (blended and face-to-face) and for the two modes of delivery within the blended treatment (face-to-face vs web mode), adherence levels (ie, treatment time) were compared and the predictors of adherence were identified within 33 demographic, smoking-related, and health-related patient characteristics.

RESULTS

We found no significant difference in adherence between the blended and the face-to-face treatments. Participants in the blended treatment group spent an average of 246 minutes in treatment (median 106.7% of intended treatment time, IQR 150%-355%) and participants in the face-to-face group spent 238 minutes (median 103.3% of intended treatment time, IQR 150%-330%). Within the blended group, adherence to the face-to-face mode was twice as high as that to the web mode. Participants in the blended group spent an average of 198 minutes (SD 120) in face-to-face mode (152% of the intended treatment time) and 75 minutes (SD 53) in web mode (75% of the intended treatment time). Higher age was the only characteristic consistently found to uniquely predict higher adherence in both the blended and face-to-face groups. For the face-to-face group, more social support for smoking cessation was also predictive of higher adherence. The variability in adherence explained by these predictors was rather low (blended R2=0.049; face-to-face R2=0.076). Within the blended group, living without children predicted higher adherence to the face-to-face mode (R2=0.034), independent of age. Higher adherence to the web mode of the blended treatment was predicted by a combination of an extrinsic motivation to quit, a less negative attitude toward quitting, and less health complaints (R2=0.164).

CONCLUSIONS

This study represents one of the first attempts to thoroughly compare adherence and predictors of adherence of a blended smoking cessation treatment to an equivalent face-to-face treatment. Interestingly, although the overall adherence to both treatments appeared to be high, adherence within the blended treatment was much higher for the face-to-face mode than for the web mode. This supports the idea that in blended treatment, one mode of delivery can compensate for the weaknesses of the other. Higher age was found to be a common predictor of adherence to the treatments. The low variance in adherence predicted by the characteristics examined in this study suggests that other variables such as provider-related health system factors and time-varying patient characteristics should be explored in future research.

TRIAL REGISTRATION

Netherlands Trial Register NTR5113; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5113.

Coach-Facilitated Web-Based Therapy Compared With Information About Web-Based Resources in Patients Referred to Secondary Mental Health Care for Depression: Randomized Controlled Trial

Background

Depression is a common mental disorder with a high social burden and significant impact on suicidality and quality of life. Treatment is often limited to drug therapies because of long waiting times to see psychological therapists face to face, despite several guidelines recommending that psychological treatments should be first-line interventions for mild to moderate depression.

Objective

We aimed to evaluate, among patients on a waitlist to receive secondary mental health care services for depression, how effective coach-guided web-based therapy (The Journal) is, compared with an information-only waitlist control group, in reducing depression symptoms after 12 weeks.

Methods

We conducted a randomized controlled trial with 2 parallel arms and a process evaluation, which included interviews with study participants. Participants assigned to the intervention group received 12 weeks of web-based therapy guided by a coach who had a background in social work. Patients in the control group receive a leaflet of mental health resources they could access. The primary outcome measure was a change in depression scores, as measured by the Patient-Health Questionnaire (PHQ-9).

Results

A total of 95 participants were enrolled (intervention, n=47; control, n=48). The mean change in PHQ-9 scores from baseline to week 12 was −3.6 (SD 6.6) in the intervention group and −3.1 (SD 6.2) in the control group, which was not a statistically significant difference with a two-sided alpha of .05 (t₉₁=−0.37; P=.72, 95% CI −3.1 to 2.2). At 12 weeks, participants in the intervention group reported higher health-related quality of life (mean EuroQol 5 dimensions visual analogue scale [EQ-5D-VAS] score 66.8, SD 18.0) compared with the control group (mean EQ-5D VAS score 55.9, SD 19.2; t₈₄=−2.73; P=.01). There were no statistically significant differences between the two groups in health service use following their initial consultation with a psychiatrist. The process evaluation showed that participants in the intervention group completed a mean of 5.0 (SD 2.3) lessons in The Journal and 8.8 (SD 3.1) sessions with the coach. Most participants (29/47, 62%) in the intervention group who completed the full dose of the intervention, by finishing 6 or more lessons in The Journal, were more likely to have a clinically important reduction in depressive symptoms at 12 weeks compared with the control group (Χ²₁=6.3; P=.01, Φ=0.37). Participants who completed the interviews reported that the role played by the coach was a major factor in adherence to the study intervention.

Conclusions

The results demonstrate that the use of guided web-based therapy for the treatment of depression is not more effective than information-only waitlist control. However, it showed that the coach has the potential to increase adherence and engagement with web-based depression treatment protocols. Further research is needed on what makes the coach effective.

Trial Registration

ClinicalTrials.gov: NCT02423733; https://clinicaltrials.gov/ct2/show/NCT02423733

Patients' User Experience of a Blended Face-to-Face and Web-Based Smoking Cessation Treatment: Qualitative Study

Background

Blended web-based and face-to-face (F2F) treatment is a promising electronic health service because the strengths of one mode of delivery should compensate for the weaknesses of the other.

Objective

The aim of this study was to explore this compensation by examining patients’ user experience (UX) in a blended smoking cessation treatment (BSCT) in routine care.

Methods

Data on patients’ UX were collected through in-depth interviews (n=10) at an outpatient smoking cessation clinic in the Netherlands. A content analysis of the semantic domains was used to analyze patients’ UX. To describe the UX, the Hassenzahl UX model was applied, examining 4 of the 5 key elements of UX from a user’s perspective: (1) patients’ standards and expectations, (2) apparent character (pragmatic and hedonic attributes), (3) usage situation, and (4) consequences (appeal, emotions, and behavior).

Results

BSCT appeared to be a mostly positively experienced service. Patients had a positive-pragmatic standard and neutral-open expectation toward BSCT at the treatment start. The pragmatic attributes of the F2F sessions were mostly perceived as positive, whereas the pragmatic attributes of the web sessions were perceived as both positive and negative. For the hedonic attributes, there seemed to be a difference between the F2F and web sessions. Specifically, the hedonic attributes of the web sessions were experienced as mostly negative, whereas those of the F2F sessions were experienced as mostly positive. For the usage situation, the physical and social contexts were experienced positively, whereas the task and technical contexts were experienced negatively. Nevertheless, the consequential appeal of BSCT was positive. However, the consequential emotions and behavior varied, ultimately resulting in diverse combinations of consequential appeal, emotions, and behavior (positive, negative, and mixed).

Conclusions

This study provided insights into the UX of a blended treatment, and the results support the expectation that in a blended treatment, the strengths of one mode of delivery may compensate for the weaknesses of the other. However, in this certain setting, this is mainly achieved in only one way: F2F sessions compensated for the weaknesses of the web sessions. As a practical conclusion, this may mean that the web sessions, supported by the strengths of the F2F sessions, offer an interesting approach for further improving the blended treatment. Our theoretical findings reflect the relevance of the aspects of hedonism, such as fun, joy, or happiness in the UX, which were not mentioned in relation to the web sessions and were only scarcely mentioned in relation to the F2F sessions. Future research should further investigate the role of hedonistic aspects in a blended treatment and whether increased enjoyment of a blended treatment could increase treatment adherence and, ultimately, effectiveness.

Usability, Acceptability, and Effectiveness of Web-Based Conversational Agents to Facilitate Problem Solving in Older Adults: Controlled Study

Background

The usability and effectiveness of conversational agents (chatbots) that deliver psychological therapies is under-researched.

Objective

This study aimed to compare the system usability, acceptability, and effectiveness in older adults of 2 Web-based conversational agents that differ in theoretical orientation and approach.

Methods

In a randomized study, 112 older adults were allocated to 1 of the following 2 fully automated interventions: Manage Your Life Online (MYLO; ie, a chatbot that mimics a therapist using a method of levels approach) and ELIZA (a chatbot that mimics a therapist using a humanistic counseling approach). The primary outcome was problem distress and resolution, with secondary outcome measures of system usability and clinical outcome.

Results

MYLO participants spent significantly longer interacting with the conversational agent. Posthoc tests indicated that MYLO participants had significantly lower problem distress at follow-up. There were no differences between MYLO and ELIZA in terms of problem resolution. MYLO was rated as significantly more helpful and likely to be used again. System usability of both the conversational agents was associated with helpfulness of the agents and the willingness of the participants to reuse. Adherence was high. A total of 12% (7/59) of the MYLO group did not carry out their conversation with the chatbot.

Conclusions

Controlled studies of chatbots need to be conducted in clinical populations across different age groups. The potential integration of chatbots into psychological care in routine services is discussed.

Adherence to e-mental health among youth: Considerations for intervention development and research design

E-mental health programmes have great potential to provide young people with access to mental health support. However, it is commonly reported that adherence to these programmes is low. Low adherence can be problematic, particularly if young people do not receive the full benefits of a programme. In a research trial setting, non-adherence to treatment recommendations can prevent researchers from drawing strong conclusions about effectiveness. Although adherence has been recognised as an issue in need of attention, many of the reviews available are focused on adults and lack clear direction towards what strategies to employ. This paper presents a broad review of the adherence literature, focusing on factors associated with improving adherence to e-mental health among youth. Our view on the key elements to improve adherence identified from the existing literature are presented, and key recommendations for e-mental health intervention design are provided. These include: developing and communicating adherence guidelines based on individuals’ needs and symptom severity, including customisable features to provide a tailored experience and promote a sense of agency, including engagement checks and adopting a user-centred approach by utilising strategies such as co-design. This paper provides guidance to intervention designers and researchers by outlining recommendations and considerations for intervention development and research design.

Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis

BACKGROUND

The System Usability Scale (SUS) is used to measure usability of internet-based Cognitive Behavioural Therapy (iCBT). However, whether the SUS is a valid instrument to measure usability in this context is unclear. The aim of this study is to assess the factor structure of the SUS, measuring usability of iCBT for depression in a sample of professionals. In addition, the psychometric properties (reliability, convergent validity) of the SUS were tested.

METHODS

A sample of 242 professionals using iCBT for depression from 6 European countries completed the SUS. Confirmatory Factor Analysis (CFA) was conducted to test whether a one-factor, two-factor, tone-model or bi-direct model would fit the data best. Reliability was assessed using complementary statistical indices (e.g. omega). To assess convergent validity, the SUS total score was correlated with an adapted Client Satisfaction Questionnaire (CSQ-3).

RESULTS

CFA supported the one-factor, two-factor and tone-model, but the bi-factor model fitted the data best (Comparative Fit Index = 0.992, Tucker Lewis Index = 0.985, Root Mean Square Error of Approximation = 0.055, Standardized Root Mean Square Residual = 0.042 (respectively χ²_diff (9) = 69.82, p < 0.001; χ²_diff (8) ₌ 33.04, p < 0.001). Reliability of the SUS was good (ω = 0.91). The total SUS score correlated moderately with the CSQ-3 (CSQ1 r_s = .49, p < 0.001; CSQ2 r_s = .46, p < 0.001; CSQ3 r_s = .38, p < 0.001), indicating convergent validity.

CONCLUSIONS

Although the SUS seems to have a multidimensional structure, the best model showed that the total sumscore of the SUS appears to be a valid and interpretable measure to assess the usability of internet-based interventions when used by professionals in mental healthcare.

Using the Personalized Advantage Index for Individual Treatment Allocation to Blended Treatment or Treatment as Usual for Depression in Secondary Care

A variety of effective psychotherapies for depression are available, but patients who suffer from depression vary in their treatment response. Combining face-to-face therapies with internet-based elements in the sense of blended treatment is a new approach to treatment for depression. The goal of this study was to answer the following research questions: (1) What are the most important predictors determining optimal treatment allocation to treatment as usual or blended treatment? and (2) Would model-determined treatment allocation using this predictive information and the personalized advantage index (PAI)-approach result in better treatment outcomes? Bayesian model averaging (BMA) was applied to the data of a randomized controlled trial (RCT) comparing the efficacy of treatment as usual and blended treatment in depressive outpatients. Pre-treatment symptomatology and treatment expectancy predicted outcomes irrespective of treatment condition, whereas different prescriptive predictors were found. A PAI of 2.33 PHQ-9 points was found, meaning that patients who would have received the treatment that is optimal for them would have had a post-treatment PHQ-9 score that is two points lower than if they had received the treatment that is suboptimal for them. For 29% of the sample, the PAI was five or greater, which means that a substantial difference between the two treatments was predicted. The use of the PAI approach for clinical practice must be further confirmed in prospective research; the current study supports the identification of specific interventions favorable for specific patients.

Added value or added burden? A qualitative investigation of blending internet self-help with face-to-face cognitive behaviour therapy for depression

Objectives: Numerous studies and reviews have explored the value of adding therapist support to internet self-help for improving client adherence and outcomes. This study is different as it explores the value of adding internet self-help to face-to-face therapy, from the perspective of practitioners who used both. This study explores practitioners' experiences of whether-and how-internet self-help blended with face-to-face therapy may confer an added value or become an added burden to their routine practice. Methods: Using a structured topic guide, we collected narrative data via 3 focus groups and 1 telephone interview from 11 practitioners across two sites in England. We carried out a thematic analysis within two domains, "value vs. burden". Results: Practitioners reported that internet self-help can confer added value to face-to-face therapy by: fostering client engagement with face-to-face sessions; making therapy ubiquitous beyond sessions; and preventing therapeutic drift between sessions. Conversely, internet self-help can add burden to face-to-face therapy when it is experienced as disruptive, overwhelming and time-consuming. Conclusions: Recognizing and mitigating factors that can turn internet self-help from an added value to an added burden will help practitioners adopt and make the most out of blended therapy.

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.

Working Alliance in Blended Versus Face-to-Face Cognitive Behavioral Treatment for Patients with Depression in Specialized Mental Health Care

This study investigates working alliance in blended cognitive behavioral therapy (bCBT) for depressed adults in specialized mental health care. Patients were randomly allocated to bCBT (n = 47) or face-to-face CBT (n = 45). After 10 weeks of treatment, both patients and therapists in the two groups rated the therapeutic alliance on the Working Alliance Inventory Short-Form Revised (WAI-SR; Task, Bond, Goal, and composite scores). No between-group differences were found in relation to either patient or therapist alliance ratings, which were high in both groups. In the full sample, a moderate positive association was found between patient and therapist ratings on Task (ρ = 0.41, 95% CI 0.20; 0.59), but no significant associations emerged on other components or composite scores. At 30 weeks, within-and between-group associations between alliance and changes in depression severity (QIDS, Quick Inventory of Depressive Symptomatology) were analyzed with linear mixed models. The analyses revealed an association between depression over time, patient-rated alliance, and group (p < 0.001). In face-to-face CBT, but not in bCBT, lower depression scores were associated with higher alliance ratings. The online component in bCBT may have led patients to evaluate the working alliance differently from patients receiving face-to-face CBT only.

Internet Interventions for Mental Health: Current State of Research, Lessons Learned and Future Directions

This article gives an overview of current research on internet interventions in the field of mental health. As a result of COVID-19, the implementation of internet interventions has been given a boost in the mental health sectors of several countries all over the world. With regard to these developments, a definition of internet interventions is provided and the current state of research on different formats, treatment contents, and settings of internet interventions is discussed. Current research on the therapeutic alliance in internet interventions and possible negative effects is also described. The review closes with lessons learned from the past decades of research on internet interventions along with possible implications and future directions.

Why Uptake of Blended Internet-Based Interventions for Depression Is Challenging: A Qualitative Study on Therapists' Perspectives

(1) Background: Blended cognitive behavioral therapy (bCBT; online and face-to-face sessions) seems a promising alternative alongside regular face-to-face CBT depression treatment in specialized mental health care organizations. Therapists are key in the uptake of bCBT. This study focuses on therapists' perspectives on usability, satisfaction, and factors that promote or hinder the use of bCBT in routine practice; (2) Methods: Three focus groups (n = 8, n = 7, n = 6) and semi-structured in-depth interviews (n = 15) were held throughout the Netherlands. Beforehand, the participating therapists (n = 36) completed online questionnaires on usability and satisfaction. Interviews were analyzed by thematic analysis; (3) Results: Therapists found the usability sufficient and were generally satisfied with providing bCBT. The thematic analysis showed three main themes on promoting and hindering factors: (1) therapists' needs regarding bCBT uptake, (2) therapists' role in motivating patients for bCBT, and (3) therapists' experiences with bCBT; (4) Conclusions: Overall, therapists were positive; bCBT can be offered by all CBT-trained therapists and future higher uptake is expected. Especially the pre-set structure of bCBT was found beneficial for both therapists and patients. Nevertheless, therapists did not experience promised time-savings-rather, the opposite. Besides, there are still teething problems and therapeutic shortcomings that need improvement in order to motivate therapists to use bCBT.

Evaluating the Efficacy of Internet-Delivered Cognitive Behavioral Therapy Blended With Synchronous Chat Sessions to Treat Adolescent Depression: Randomized Controlled Trial

Background

Depression is a common and serious problem among adolescents, but few seek or have access to therapy. Internet-delivered cognitive behavioral therapies (ICBTs), developed to increase treatment access, show promise in reducing depression. The inclusion of coach support in treatment is desired and may be needed.

Objective

The aim of this study was to determine the efficacy of an ICBT protocol blended with weekly real-time therapist sessions via chat; blended treatment, for adolescent depression, including major depressive episode (MDE). The protocol has previously been evaluated in a controlled study.

Methods

In a two-arm randomized controlled trial, adolescents 15 to 19 years of age were recruited through a community setting at the national level in Sweden (n=70) and allocated to either 8 weeks of treatment or to minimal attention control. Depression was assessed at baseline, at posttreatment, and at 12 months following treatment (in the intervention group). The primary outcome was self-reported depression level as measured with the Beck Depression Inventory II at posttreatment. The intervention was offered without the need for parental consent.

Results

Over two weeks, 162 adolescents registered and completed the baseline screening. Eligible participants (n=70) were on average 17.5 years of age (SD 1.15), female (96%, 67/70), suffered from MDE (76%, 53/70), had no previous treatment experience (64%, 45/70), and reported guardian(s) to be aware about their depression state (71%, 50/70). The average intervention completion was 74% (11.8 of 16 modules and sessions). Following the treatment, ICBT participants demonstrated a significant decrease in depression symptoms compared with controls (P<.001), corresponding to a large between-group effect (intention-to-treat analysis: d=0.86, 95% CI 0.37-1.35; of completer analysis: d=0.99, 95% CI 0.48-1.51). A significant between-group effect was observed in the secondary depression outcome (P=.003); clinically significant improvement was found in 46% (16/35) of ICBT participants compared with 11% (4/35) in the control group (P=.001).

Conclusions

The results are in line with our previous study, further demonstrating that adolescents with depression can successfully be engaged in and experience significant improvement following ICBT blended with therapist chat sessions. Findings on participants’ age and baseline depression severity are of interest in relation to used study methods.

Trial Registration

ClinicalTrials.gov NCT02363205; https://clinicaltrials.gov/ct2/show/NCT02363205