Online Self-Help as an Add-On to Inpatient Psychotherapy: Efficacy of a New Blended Treatment Approach

The long shadow of early-change patterns: a 3-year follow-up after the use of a web-based intervention for mild to moderate depressive symptoms

Web-based interventions can be effective in treating depressive symptoms. Patients with risk not responding to treatment have been identified by early change patterns. This study aims to examine whether early changes are superior to baseline parameters in predicting long-term outcome. In a randomized clinical trial with 409 individuals experiencing mild to moderate depressive symptoms using the web-based intervention deprexis, three latent classes were identified (early response after registration, early response after screening and early deterioration) based on early change in the first four weeks of the intervention. Baseline variables and these classes were included in a Stepwise Cox Proportional Hazard Multiple Regression to identify predictors associated with the onset of remission over 36-months. Early change class was a significant predictor of remission over 36 months. Compared to early deterioration after screening, both early response after registration and after screening were associated with a higher likelihood of remission. In sensitivity and secondary analyses, only change class consistently emerged as a predictor of long-term outcome. Early improvement in depression symptoms predicted long-term outcome and those showing early improvement had a higher likelihood of long-term remission. These findings suggest that early changes might be a robust predictor for long-term outcome beyond baseline parameters.

Patient Engagement with Conversational Agents in Health Applications 2016-2022: A Systematic Review and Meta-Analysis

Clinicians and patients seeking electronic health applications face challenges in selecting effective solutions due to a high market failure rate. Conversational agent applications ("chatbots") show promise in increasing healthcare user engagement by creating bonds between the applications and users. It is unclear if chatbots improve patient adherence or if past trends to include chatbots in electronic health applications were due to technology hype dynamics and competitive pressure to innovate. We conducted a systematic literature review using Preferred Reporting Items for Systematic reviews and Meta-Analyses methodology on health chatbot randomized control trials. The goal of this review was to identify if user engagement indicators are published in eHealth chatbot studies. A meta-analysis examined patient clinical trial retention of chatbot apps. The results showed no chatbot arm patient retention effect. The small number of studies suggests a need for ongoing eHealth chatbot research, especially given the claims regarding their effectiveness made outside the scientific literatures.

[Blended care: state of research and possibilities for implementation]

BACKGROUND

Psychotherapy is effective in treating mental disorders; however, not all patients benefit to the same extent and treatment gains are not always maintained. Blended care (BC) has the potential to improve psychotherapeutic care by combining traditional psychotherapy with online contents.

OBJECTIVE

To explore the potential of BC for psychotherapeutic care and investigate its implementation possibilities.

MATERIAL AND METHODS

Presentation of the effectiveness of various BC modalities, attitudes of users and decision-makers, and discussion of recommendations for its implementation.

RESULTS

Indications for the effectiveness of BC in different modalities has been shown in several studies. Both therapists and patients prefer BC over a purely online intervention and want customizable contents; however, it remains unclear for which patients BC is a particularly suitable treatment option.

CONCLUSION

Various combinations of BC have the potential to be an effective and financially viable treatment option. Successful implementation requires better education about BC and the provision of the necessary infrastructure.

Attrition in Conversational Agent-Delivered Mental Health Interventions: Systematic Review and Meta-Analysis

BACKGROUND

Conversational agents (CAs) or chatbots are computer programs that mimic human conversation. They have the potential to improve access to mental health interventions through automated, scalable, and personalized delivery of psychotherapeutic content. However, digital health interventions, including those delivered by CAs, often have high attrition rates. Identifying the factors associated with attrition is critical to improving future clinical trials.

OBJECTIVE

This review aims to estimate the overall and differential rates of attrition in CA-delivered mental health interventions (CA interventions), evaluate the impact of study design and intervention-related aspects on attrition, and describe study design features aimed at reducing or mitigating study attrition.

METHODS

We searched PubMed, Embase (Ovid), PsycINFO (Ovid), Cochrane Central Register of Controlled Trials, and Web of Science, and conducted a gray literature search on Google Scholar in June 2022. We included randomized controlled trials that compared CA interventions against control groups and excluded studies that lasted for 1 session only and used Wizard of Oz interventions. We also assessed the risk of bias in the included studies using the Cochrane Risk of Bias Tool 2.0. Random-effects proportional meta-analysis was applied to calculate the pooled dropout rates in the intervention groups. Random-effects meta-analysis was used to compare the attrition rate in the intervention groups with that in the control groups. We used a narrative review to summarize the findings.

RESULTS

The systematic search retrieved 4566 records from peer-reviewed databases and citation searches, of which 41 (0.90%) randomized controlled trials met the inclusion criteria. The meta-analytic overall attrition rate in the intervention group was 21.84% (95% CI 16.74%-27.36%; I2=94%). Short-term studies that lasted ≤8 weeks showed a lower attrition rate (18.05%, 95% CI 9.91%- 27.76%; I2=94.6%) than long-term studies that lasted >8 weeks (26.59%, 95% CI 20.09%-33.63%; I2=93.89%). Intervention group participants were more likely to attrit than control group participants for short-term (log odds ratio 1.22, 95% CI 0.99-1.50; I2=21.89%) and long-term studies (log odds ratio 1.33, 95% CI 1.08-1.65; I2=49.43%). Intervention-related characteristics associated with higher attrition include stand-alone CA interventions without human support, not having a symptom tracker feature, no visual representation of the CA, and comparing CA interventions with waitlist controls. No participant-level factor reliably predicted attrition.

CONCLUSIONS

Our results indicated that approximately one-fifth of the participants will drop out from CA interventions in short-term studies. High heterogeneities made it difficult to generalize the findings. Our results suggested that future CA interventions should adopt a blended design with human support, use symptom tracking, compare CA intervention groups against active controls rather than waitlist controls, and include a visual representation of the CA to reduce the attrition rate.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42022341415; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022341415.

Feasibility, Adherence, and Effectiveness of Blended Psychotherapy for Severe Mental Illnesses: Scoping Review

BACKGROUND

Blended psychotherapy (bPT) combines face-to-face psychotherapy with digital interventions to enhance the effectiveness of mental health treatment. The feasibility and effectiveness of bPT have been demonstrated for various mental health issues, although primarily for patients with higher levels of functioning.

OBJECTIVE

This scoping review aims to investigate the feasibility, adherence, and effectiveness of bPT for the treatment of patients with severe mental illnesses (SMIs).

METHODS

Following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, we conducted searches in PubMed, MEDLINE, Embase, PsycINFO, and PsycArticles for studies published until March 23, 2023.

RESULTS

Out of 587 screened papers, we incorporated 25 studies encompassing 23 bPT interventions, involving a total of 2554 patients with SMI. The intervention formats and research designs exhibited significant variation. Our findings offer preliminary evidence supporting the feasibility of bPT for SMI, although there is limited research on adherence. Nevertheless, the summarized studies indicated promising attrition rates, spanning from 0% to 37%, implying a potential beneficial impact of bPT on adherence to SMI treatment. The quantity of evidence on the effects of bPT for SMI was limited and challenging to generalize. Among the 15 controlled trials, 4 concluded that bPT interventions were effective compared with controls. However, it is noteworthy that 2 of these studies used the same study population, and the control groups exhibited significant variations.

CONCLUSIONS

Overall, our review suggests that while bPT appears promising as a treatment method, further research is necessary to establish its effectiveness for SMI. We discuss considerations for clinical implementation, directions, and future research.

Blended-ALMAMAR app for inpatient mental health care for refugees: study protocol for a multicenter implementation study within the I-REACH consortium (Internet based REfugee mentAl healtH Care)

BACKGROUND

Refugees are at high risk for developing mental illnesses. Due to language and cultural barriers, there is need for specifically adapted therapeutic procedures for refugees in inpatient mental health care settings. Internet-based applications in refugee mother tongues have the potential to improve the outcomes of mental health care for this vulnerable population. The key research question of the present implementation study is whether the newly developed "blended ALMAMAR" app for Arabic and Farsi speaking refugees in Germany is used and accepted by patients and professionals in routine inpatient mental health care (blended care).

METHODS

We present the design of an observational, prospective multicenter implementation study in eight psychiatric hospitals. We plan to recruit 100 Farsi or Arabic speaking refugees receiving in-patient treatment due to depression, anxiety disorder, posttraumatic stress disorder or substance use disorders. These patients will get access to the "blended ALMAMAR" app during their inpatient stay in a blended-care approach. We will assess the usage (e.g., duration and frequency of use of the app) as well as subjective acceptability and usability of the intervention. To identify sociodemographic and clinical factors associated with "blended ALMAMAR" usage, we will also perform clinical and questionnaire assessments.

DISCUSSION

The newly developed "blended ALMAMAR" app may help to close communication gaps for the hard-to reach and vulnerable group of refugees in inpatient mental health care. It is the first blended-care intervention that addresses severely mentally ill refugees in an inpatient psychiatric setting in Germany.

TRIAL REGISTRATION

The trial was registered in the German Clinical Trials Register on November 11, 2021 (DRKS00025972) and adapted on November 14, 2023.

Digital Health Applications in the Area of Mental Health

BACKGROUND

The introduction of digital health applications (DiGA) is a fundamental innovation in Germany. In the field of mental health, numerous applications are already available whose efficacy has been tested in clinical trials. We investigated whether, and to what extent, the use of DiGA can be recommended on the basis of the available evidence.

METHODS

In this scoping review, we summarize the evidence supporting the use of DiGA in the mental health field through an examination of relevant publications that were retrieved by a systematic literature search. We provide an annotated tabular listing and discuss the current advantages of, and obstacles to, the care of mentally ill patients with the aid of DiGA.

RESULTS

We identified 17 DiGA for use in depression, anxiety disorders, addiction disorders, sleep disorders, stress/burnout, vaginismus, and chronic pain. These DiGA have been evaluated to date in 3 meta-analyses, 39 randomized controlled trials (RCTs), and two single-armed intervention trials. 23 of the 36 published trials were carried out with the direct participation of the manufacturers. 29 of the 39 RCTs were not blinded or contained no information regarding blinding. Active controls were used in 6 of the 39 RCTs. The reported effect sizes, with the exclusion of pre-post analyses, ranged from 0.16 to 1.79.

CONCLUSION

Most of the published studies display a high risk of bias, both because of the manufacturers' participation and because of methodological deficiencies. DiGA are an increasingly important therapeutic modality in psychiatry. The available evidence indicates that treatment effects are indeed present, but prospective comparisons with established treatments are still entirely lacking.

Application and Extension of the Alcohol Recovery Narratives Conceptual Framework

Recovery narratives are personal stories of health problems and recovery. A systematic review proposed a conceptual framework characterising alcohol misuse recovery narratives, consisting of eight principal dimensions, each with types and subtypes. The current study aims to apply and extend this preliminary conceptual framework. Semi-structured interviews were conducted to collect alcohol misuse recovery narratives from adult participants. A two-stage inductive and deductive thematic analysis approach was used to assess the relevance of the dimensions and types included in the preliminary conceptual framework and identify new components. The sample consisted of 11 participants from diverse socioeconomic backgrounds who had previously displayed varying degrees of alcohol misuse. All conceptual framework dimensions (genre, identity, recovery setting, drinking trajectories, drinking behaviours and traits, stages, spirituality and religion, and recovery experience) were present in the collected narratives. Three dimensions were extended by adding types and subtypes. Whilst the existing conceptual framework fitted the collected narratives, a new dimension describing the alcohol environment was required to fully characterise narratives. Types included in the alcohol environment dimension were policy and practice and social dynamics. The extended framework could guide the production of resources enabling clinicians to engage with narratives shared by their clients.

Challenges With the Use of Digital Sham: Systematic Review and Recommendations

BACKGROUND

Digital therapeutics (DTx) are software-based products that prevent, manage, or treat a medical condition and are delivered through a smartphone app, web application, or wearable device. Clinical trials assessing DTx pose challenges, foremost among which is designing appropriate digital shams (or digital placebos), which should ideally mimic DTx (in terms of design, components, and duration of treatment) while omitting the active principle or component.

OBJECTIVE

The objective of our review was to understand how digital shams are being used in clinical research on DTx in neuroscience, which is the most common therapy area for DTx.

METHODS

We conducted a systematic literature review of DTx in neuroscience (including neurodevelopmental, neurodegenerative, and psychiatric disorders) with a focus on controlled clinical trials involving digital shams. Studies were identified from trial registries (ClinicalTrials.gov, the European Union Clinical Trials Register, and Trial Trove) and through structured searches in MEDLINE and Embase (both via the Embase website) and were limited to articles in English published from 2010 onward. These were supplemented by keyword-based searches in PubMed, Google, and Google Scholar and bibliographic searches. Studies assessing DTx in neuroscience (including neurodevelopmental, neurodegenerative, and psychiatric disorders) were included. Details related to the publication, DTx, comparator, patient population, and outcomes were extracted and analyzed.

RESULTS

Our search criteria identified 461 neuroscience studies involving 213 unique DTx. Most DTx were extended reality based (86/213, 40.4%) or mobile device based (56/213, 26.3%); 313 were comparative, of which 68 (21.7%) used shams. The most common therapeutic areas assessed in these studies were stroke (42/213, 19.7%), depression (32/213, 15%), and anxiety (24/213, 11.3%). The most common treatments were cognitive behavioral therapy or behavioral therapy (67/213, 32.4%), physical rehabilitation (60/213, 28.2%), and cognitive training (41/213, 19.2%). We identified the following important issues related to the use of digital shams in neuroscience: shams were not validated before use in studies, they varied widely in design (from being nearly identical to the DTx to using different software programs altogether), and the level of patient engagement or satisfaction with the sham and the impact of the sham on study outcomes were infrequently reported.

CONCLUSIONS

Digital shams are critical for the clinical development of DTx in neuroscience. Given the importance of sham controls in evaluating DTx efficacy, we provide recommendations on the key information that should be reported in a well-designed DTx trial and propose an algorithm to allow the correct interpretation of DTx study results. Sham-controlled studies should be routinely used in DTx trials-in early-phase studies-to help identify DTx active components and-in late-phase studies-to confirm the efficacy of DTx. The use of shams early in development will ensure that the appropriate sham control is used in later confirmatory trials.

Effectiveness of an Internet-Based Self-Guided Program to Treat Depression in a Sample of Brazilian Users: Randomized Controlled Trial

BACKGROUND

Depression is undertreated in Brazil. Deprexis is a self-guided internet-based program used to treat depressive symptoms based on empirically supported integrative and cognitive behavioral therapy. Evidence from a meta-analysis supports Deprexis' efficacy in German-speaking countries and the United States, but no study has been conducted using this program in countries with low literacy rates and large social disparities. Furthermore, few studies have investigated whether internet-based interventions ameliorate the psychological processes that might underlie depressive symptomatology, such as low perceived self-efficacy.

OBJECTIVE

The main objective of this study was to replicate in Brazil previously reported effects of Deprexis on depressive symptom reduction. Therefore, the main research question was whether Deprexis is effective in reducing depressive symptoms and the general psychological state in Brazilian users with moderate and severe depression in comparison with a control group that does not receive access to Deprexis. A secondary research question was whether the use of Deprexis affects perceptions of self-efficacy.

METHODS

We interviewed 312 participants recruited over the internet and randomized 189 participants with moderate to severe depression (according to the Patient Health Questionnaire-9 and a semistructured interview) to an intervention condition (treatment as usual plus immediate access to Deprexis for 90 days, n=94) or to a control condition (treatment as usual and delayed access to Deprexis, after 8 weeks, n=95).

RESULTS

Participants from the immediate access group logged in at Deprexis an average of 14.81 (SD 12.16) times. The intention-to-treat analysis using a linear mixed model showed that participants who received Deprexis improved significantly more than participants assigned to the delayed access control group on the primary depression self-assessment measure (Patient Health Questionnaire-9; Cohen d=0.80; P<.001) and secondary outcomes, such as general psychological state measure (Clinical Outcome in Routine Evaluation-Outcome Measurement; Cohen d=0.82; P<.001) and the perceived self-efficacy measure (Cohen d=0.63; P<.001). The intention-to-treat analyses showed that 21% (20/94) of the participants achieved remission compared with 7% (7/95) in the control group (P<.001). The deterioration rates were lower in the immediate access control group. The dropout rate was high, but no differences in demographic and clinical variables were found. Participants reported a medium to high level of satisfaction with Deprexis.

CONCLUSIONS

These results replicate previous findings by showing that Deprexis can facilitate symptomatic improvement over 3 months in depressed samples of Brazilian users. From a public health perspective, this is important information to expand the reach of internet-based interventions for those who really need them, especially in countries with less access to mental health care. This extends previous research by showing significant effects on perceived self-efficacy.

TRIAL REGISTRATION

Registro Brasileiro de Ensaios Clíncos (ReBec) RBR-6kk3bx UTN U1111-1212-8998; https://ensaiosclinicos.gov.br/rg/RBR-6kk3bx/.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1590/1516-4446-2019-0582.

Does an Internet-Based Emotion Regulation Intervention Provide Added Value for Acute Psychiatric Inpatient Care? Protocol for a Randomized Controlled Pilot Trial

BACKGROUND

There is a lack of studies on internet-based interventions in inpatient settings. This is especially true for studies of internet-based interventions in acute psychiatric inpatient care. Internet-based interventions in this specific setting may provide benefits such as patient empowerment and overall improved treatment outcomes. However, there may also be specific barriers to their implementation that are unique due to the complexity of acute psychiatric inpatient care.

OBJECTIVE

The aim of this study is to examine the feasibility and preliminary evidence for effectiveness of a web-based emotion regulation intervention provided as an add-on to acute psychiatric inpatient care.

METHODS

The goal is to randomly allocate 60 patients with a range of different diagnoses in a 1:1 ratio to either treatment as usual (TAU), which consists of acute psychiatric inpatient treatment, or to the intervention group, which will receive TAU plus access to a web-based intervention that focuses on reduction of emotion regulation difficulties and improvement of emotion regulation skills. The primary outcome is symptom severity, assessed with the short form of the Brief Symptom Inventory at baseline, after 4 weeks, after 8 weeks, and at hospital discharge. Secondary outcomes include 2 emotion regulation parameters, intervention use, usability, patient satisfaction, and reasons for patient loss to follow-up.

RESULTS

Participant recruitment started in August 2021 and as of March 2023 was ongoing. First publication of study results is expected in 2024.

CONCLUSIONS

This study protocol describes a study that intends to examine a web-based emotion regulation intervention in acute psychiatric inpatient care. The study will provide information on the feasibility of the intervention and possible effects on symptom severity and emotion regulation. The results will provide new insights on blended treatment, in this case the combination of a web-based intervention and face-to-face psychiatric treatment, in an understudied patient group and setting.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04990674; https://clinicaltrials.gov/ct2/show/NCT04990674.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/47656.

Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms

Introduction

Personalization is a much-discussed approach to improve adherence and outcomes for Digital Mental Health interventions (DMHIs). Yet, major questions remain open, such as (1) what personalization is, (2) how prevalent it is in practice, and (3) what benefits it truly has.

Methods

We address this gap by performing a systematic literature review identifying all empirical studies on DMHIs targeting depressive symptoms in adults from 2015 to September 2022. The search in Pubmed, SCOPUS and Psycinfo led to the inclusion of 138 articles, describing 94 distinct DMHIs provided to an overall sample of approximately 24,300 individuals.

Results

Our investigation results in the conceptualization of personalization as purposefully designed variation between individuals in an intervention's therapeutic elements or its structure. We propose to further differentiate personalization by what is personalized (i.e., intervention content, content order, level of guidance or communication) and the underlying mechanism [i.e., user choice, provider choice, decision rules, and machine-learning (ML) based approaches]. Applying this concept, we identified personalization in 66% of the interventions for depressive symptoms, with personalized intervention content (32% of interventions) and communication with the user (30%) being particularly popular. Personalization via decision rules (48%) and user choice (36%) were the most used mechanisms, while the utilization of ML was rare (3%). Two-thirds of personalized interventions only tailored one dimension of the intervention.

Discussion

We conclude that future interventions could provide even more personalized experiences and especially benefit from using ML models. Finally, empirical evidence for personalization was scarce and inconclusive, making further evidence for the benefits of personalization highly needed.

Systematic Review Registration

Identifier: CRD42022357408.

CBT-informed psychological interventions for adult patients with anxiety and depression symptoms: A narrative review of digital treatment options

BACKGROUND

Across a range of age, educational and clinical characteristics, adults experiencing depression and anxiety already use digital technology to manage their symptoms. Although several reviews and meta-analyses indicated feasibility and efficacy for adults with depression and anxiety, digital treatments are poorly accessed and disseminated. This review illustrates potentials and limitations of interventions that specifically leveraged unique features of digital technology and were grounded in the principles of Cognitive Behavioral Therapy (CBT).

METHODS

This systematic review followed the PRISMA guidelines. An electronic database search was conducted in October 2021. Peer-reviewed, English-language studies were included if i) they reported data from RCTs for adults aged 18+ who engaged with CBT-informed digital interventions targeting primarily depression and anxiety; ii) they used at least PHQ-9 or GAD-7 as standardized and validated assessment self-report measures for depression and anxiety.

RESULTS

Findings from 35 RCTs examining 33 interventions (25 internet-based, 6 mobile-based, a2 mobile/web) are discussed. The quality of the evidence differed widely as many small-scale RCTs reported only short-term feasibility and preliminary efficacy. Effects of CBT-informed digital interventions were substantially larger when compared to waitlist than active control conditions. Greater therapeutic benefits were observed for interventions that offered clinical assistance or were used in combination with other treatments.

CONCLUSIONS

CBT-informed digital interventions have accumulated enough scientific evidence to be positioned today as: i) a low-intensity tool for those with subclinical levels of symptoms; ii) a first step in a stepped-care approach to service delivery iii) a low-cost, easily accessible option for targeted preventive programs.

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.

Erste Erfahrungen mit einer Selbstmanagement-App in der stationären Suchtbehandlung

Zusammenfassung: Zielsetzung: Um die Möglichkeiten smartphonebasierter Interventionen für die stationäre Entwöhnungstherapie in einer Rehabilitationsklinik zu nutzen, wurde die MeinSalus-App entwickelt. Ziel der Studie ist es, (1) die Akzeptanz (Nutzungsabsicht) der App bei Patienten sowie beim therapeutischen Personal zu untersuchen, (2) Prädiktoren der Akzeptanz auf der Grundlage eines erweiterten UTAUT (Unified Theory of Acceptance and Use of Technology-)Modells zu bestimmen und (3) Aufschlüsse über das Nutzungsverhalten zu bekommen. Methodik: 193 von 282 stationären Patienten (68,4 %) sowie 18 von 34 Therapeuten (52,9 %) beantworteten Fragebögen zur Akzeptanz (Nutzungsabsicht) der App und deren einzelnen Funktionen, zu UTAUT- und mHealth-bezogenen Variablen sowie zu ihrem Nutzungsverhalten. Ergebnisse: Die mittlere Nutzungsabsicht (Range 1–5) für die App insgesamt lag für Patienten bei 4.65 ( SD = 0.83) und für Therapeuten bei 4.07 ( SD = 0.62). Alter, mobile Internetnutzung, erwarteter Nutzen sowie Vorbehalte gegenüber der App erwiesen sich als signifikante Prädiktoren der Akzeptanz. Beim Nutzungsverhalten ergab sich ein differenziertes Bild für die unterschiedlichen Funktionen. Schlussfolgerungen: Es zeigte sich sowohl in der Patientenstichprobe als auch beim teilnehmenden therapeutischen Personal eine hohe Akzeptanz der App, was auf eine akzeptable Grundlage für eine Implementierung in der stationären Suchtbehandlung hindeutet. Studien zu Effekten der App sollten sich anschließen.

Brief App-Based Cognitive Behavioral Therapy for Anxiety Symptoms in Psychiatric Inpatients: Feasibility Randomized Controlled Trial

Background

Psychiatric inpatients often have limited access to psychotherapeutic education or skills for managing anxiety, a common transdiagnostic concern in severe and acute mental illness. COVID-19–related restrictions further limited access to therapy groups on inpatient psychiatric units. App-based interventions may improve access, but evidence supporting the feasibility of their use, acceptability, and effectiveness in psychiatric inpatient settings is limited. MindShift CBT is a free app based on cognitive behavioral therapy principles with evidence for alleviating anxiety symptoms in the outpatient setting.

Objective

We aimed to recruit 24 participants from an acute general psychiatric inpatient ward to a 1-month randomized control study assessing the feasibility and acceptability of providing patients with severe and acute mental illness access to the MindShift CBT app for help with managing anxiety symptoms.

Methods

Recruitment, data collection, analysis, and interpretation were completed collaboratively by clinician and peer researchers. Inpatients were randomized to two conditions: treatment as usual (TAU) versus TAU plus use of the MindShift CBT app over 6 days. We collected demographic and quantitative data on acceptability and usability of the intervention. Symptoms of depression, anxiety, and psychological distress were measured in pre- and poststudy surveys for preliminary signals of efficacy. We conducted individual semistructured interviews with participants in the MindShift CBT app group at the end of their trial period, which were interpreted using a standardized protocol for thematic analysis.

Results

Over 4 weeks, 33 inpatients were referred to the study, 24 consented to participate, 20 were randomized, and 11 completed the study. Of the 9 randomized participants who did not complete the study, 7 were withdrawn because they were discharged or transferred prior to study completion, with a similar distribution among both conditions. Among the enrolled patients, 65% (13/20) were admitted for a psychotic disorder and no patient was admitted primarily for an anxiety disorder. The average length of stay was 20 days (SD 4.4; range 3-21) and 35% (7/20) of patients were involuntarily admitted to hospital. Small sample sizes limited accurate interpretation of the efficacy data. Themes emerging from qualitative interviews included acceptability and usability of the app, and patient agency associated with voluntary participation in research while admitted to hospital.

Conclusions

Our study benefitted from collaboration between peer and clinician researchers. Due to rapid patient turnover in the acute inpatient setting, additional flexibility in recruitment and enrollment is needed to determine the efficacy of using app-based psychotherapy on an acute psychiatric ward. Despite the limited sample size, our study suggests that similar interventions may be feasible and acceptable for acutely unwell inpatients. Further study is needed to compare the efficacy of psychotherapeutic apps with existing standards of care in this setting.

Trial Registration

ClinicalTrials.gov NCT04841603; https://clinicaltrials.gov/ct2/show/NCT04841603

E-Mental-Health aftercare for children and adolescents after partial or full inpatient psychiatric hospitalization: study protocol of the randomized controlled DigiPuR trial

Background

During reintegration to daily school life following psychiatric hospitalization, children and adolescents are confronted with various challenges and are at risk for rehospitalization. Tailored post-discharge services could support a successful readjustment and accompany the high-risk transition period after discharge. The study DigiPuR (“Digital gestützte Psychotherapie und Reintegration,” digitally supported psychotherapy and reintegration) aims to establish and to evaluate an innovative digital aftercare program to alleviate challenges during reintegration and improve cross-sectoral care.

Methods

DigiPuR is a randomized controlled trial comparing a digital aftercare service with regular aftercare (TAU) (planned N = 150, 25 children/adolescents, 25 parents, and 25 teachers in each group). In the intervention group, direct communication via secure and regular video calls until 8 weeks after discharge and a secure messenger system between the hospital, family, and school, as well as, if needed, external support systems, are established. A longitudinal pre-post-follow-up assessment at admission, discharge, and 8, 24, and 36 weeks after discharge takes place supplemented by a daily smartphone-based ambulatory assessment from a triadic perspective of patients, parents, and teachers. Primary outcomes include whether participants in the intervention group have fewer readmissions and higher treatment satisfaction and health-related quality of life as well as lower symptom severity than participants in the control group.

Discussion

The present study is essential to address the cross-sectoral challenges associated with reintegration into daily (school) life following child and adolescent psychiatric hospitalization and to determine possible needed adaptations in partial or full inpatient settings. If applicability and efficacy of the aftercare service can be demonstrated, integration into regular care will be sought.

Trial registration

ClinicalTrials.govNCT04986228. Registered on August 2, 2021

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-022-06508-1.

How Effective is a Web-Based Mental Health Intervention (Deprexis) in the Treatment of Moderate and Major Depressive Disorders when started during Routine Psychiatric Inpatient Treatment as an Adjunct Therapy? A Pragmatic Parallel-Group Randomized Controlled Trial

BACKGROUND

Internet-based self-help-programs like deprexis have been increasingly shown to reduce depressive symptoms if added to distinct, primarily outpatient-treatment-settings. There is limited information about the effectiveness of deprexis if started at routine psychiatric hospital inpatient treatment of moderate-to-severe major depressive disorder (MDD).

SUBJECTS AND METHODS

To examine, sixty-nine adult MDD-inpatients were randomly assigned to a 12-week-period of treatment-as-usual (TAU, N=33) or TAU plus guided deprexis (TAU-PLUS, N=36). The study was planned as a pragmatic approach considering psychiatric routine conditions, particularly, offering an instant and flexible discharge management when the patients felt stabilized enough for primary/secondary care. Therefore, there was no fixed time frame for the inpatient treatment duration. Post-discharge, patients were followed by structured telephone interviews up to study-endpoint, i. e., 12 weeks after deprexis-initiation. Primary (Beck-Depression-Inventory-II, BDI-II) and secondary outcome-measures (Hamilton-Depression-Scale, Clinical-Global-Impression-Severity, WHO-Well-Being-Index, Helping-Alliance-Questionnaire) were carried out at study entry and every 2 weeks. Furthermore, the working alliance with deprexis as well as the inpatient treatment duration, the daily activity and the utilization of post-hospital care after discharge were determined.

RESULTS

At week 12, modified ITT-analyses showed significant between-group differences of BDI-II scores in favor of the TAU-PLUS-patients (p=.03) corresponding to a medium effect size (d=-.73, 95% CI -1.4 to .06). TAU-PLUS-patients showed greater daily activity (p=.04, d=.70, 95% CI -.03 to 1.38) and had been discharged significantly earlier from inpatient treatment (p=.003). Post-discharge, the TAU-PLUS-group reported a lower rate of post-hospital care (p=.01) and re-admissions (p=.04). Secondary outcome-measures including the alliance with the therapists were not significantly different between the groups at study-endpoint. The patients´ working-alliance with deprexis significantly predicted MDD-improvement and wellbeing. Both groups (TAU and TAU plus deprexis) were comparable with regard to the prescribed antidepressant medication. Unfortunately, detailed data on the amount and actual duration of the psychotherapeutic and special therapeutic individual and group settings of the TAU were not collected CONCLUSION: TAU plus deprexis was superior to TAU in improving subjective depression-severity (BDI-II) and daily activity in patients having sought psychiatric inpatient MDD-treatment before. This beneficial effect appeared 12 weeks after inpatient deprexis-initiation, i. e. when the vast majority of patients were back in primary/secondary care. Adjunctive deprexis was associated with earlier discharges and a significant advantage for post-hospital stabilization. In this regard, it could be promising to include deprexis into inpatient treatment conditions, thereby also preparing its continuing outpatient use. We found no evidence that deprexis interfered negatively with the alliance between the patients and their therapists.

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.

Blending Internet-based and tele group treatment: Acceptability, effects, and mechanisms of change of cognitive behavioral treatment for depression

The current COV-19 pandemic increases the need for remote treatment. Among several provision strategies, tele groups have been tested as an efficient option. Still, the number of studies is comparably low, with a clear lack of studies investigating supposed treatment mechanisms. Sixty-one mildly to moderately depressed participants from Salzburg, Bavaria, and Upper Austria were randomized to the intervention or a waiting list control group (RCT). The seven-week treatment comprised preparatory online modules, followed by personalized feedback and a subsequent tele group session. Large treatment effects were observed for depression (CES-D: d = 0.99, p < .001; PHQ-9: d = 0.87, p = .002), together with large effects for cognitive behavioral skills (cognitive style, and behavioral activation, d = 0.88-0.97). Changes in skills mediated treatment outcomes for CES-D and PHQ-9, suggesting comparable mechanisms as in face-to-face therapy. Two typical moderators, therapeutic alliance, and group cohesion, however, failed to predict outcome (p = .289), or only exhibited statistical tendencies (p = .049 to .071). Client satisfaction, system usability, and treatment adherence were high. Blending Internet-based and tele group interventions offers additional options for low-threshold care that is less dependent on population density, commuting distances, or constraints due to the current COV-19 crisis. Results indicate that the blended intervention is clinically effective by fostering core CBT skills. While findings suggest the notion that working alliance and group cohesion can be established online, their relevancy for outcomes of blended treatment needs to be further investigated.

Care models for mental health in a population of patients affected by COVID-19

Objective

Emergency psychological interventions are needed in patients with COVID-19. During the pandemic, psychological counseling services have been provided using online platforms to address adverse psychological impacts and symptoms in patients and the general population. We investigated the effects of telepsychotherapy on emotional well-being and psychological distress in patients affected by COVID-19.

Methods

Forty-five Sicilian patients who had contracted COVID-19 joined “Telecovid Sicilia” from March to June 2020. Participants completed self-assessment questionnaires and psychological testing to measure levels of anxiety, presence of depressive symptoms, and altered circadian rhythm with consequent sleep disorders and psychological distress. Individual telepsychotherapy services were provided for 1 hour, twice a week, for 16 sessions in total.

Results

We enrolled 45 patients (42.2% women). We found significant changes between baseline and the end of follow-up in all outcome measures, especially depression (χ2 (1) = 30.1; effect size [ES] = 0.82), anxiety (χ2 (1) = 37.4; ES = 0.91), and paranoid ideation (χ2 (1) = 5.6; ES = 0.35). The proportion of participants with sleep disorders decreased to 84.1% after intervention (χ2 (1) = 58.6; ES = 1.14).

Conclusion

A telepsychotherapeutic approach showed promising effects on psychological symptoms, with significantly reduced patient anxiety and depression.

Characteristics of alcohol recovery narratives: Systematic review and narrative synthesis

BACKGROUND AND AIMS

Narratives of recovery from alcohol misuse have been analysed in a range of research studies. This paper aims to produce a conceptual framework describing the characteristics of alcohol misuse recovery narratives that are in the research literature, to inform the development of research, policy, and practice.

METHODS

Systematic review was conducted following PRISMA guidelines. Electronic searches of databases (Ovid MEDLINE, EMBASE, CINHAL, PsychInfo, AMED and SCOPUS), grey literature, and citation searches for included studies were conducted. Alcohol recovery narratives were defined as "first-person lived experience accounts, which includes elements of adversity, struggle, strength, success, and survival related to alcohol misuse, and refer to events or actions over a period of time". Frameworks were synthesised using a three-stage process. Sub-group analyses were conducted on studies presenting analyses of narratives with specific genders, ages, sexualities, ethnicities, and dual diagnosis. The review was prospectively registered (PROSPERO CRD42021235176).

RESULTS

32 studies were included (29 qualitative, 3 mixed-methods, 1055 participants, age range 17-82years, 52.6% male, 46.4% female). Most were conducted in the United States (n = 15) and Europe (n = 11). No included studies analysed recovery narratives from lower income countries. Treatment settings included Alcoholic Anonymous (n = 12 studies), other formal treatment, and 'natural recovery'. Eight principle narrative dimensions were identified (genre, identity, recovery setting, drinking trajectory, drinking behaviours, stages, spirituality and religion, and recovery experience) each with types and subtypes. All dimensions were present in most subgroups. Shame was a prominent theme for female narrators, lack of sense of belonging and spirituality were prominent for LGBTQ+ narrators, and alienation and inequality were prominent for indigenous narrators.

CONCLUSIONS

Review provides characteristics of alcohol recovery narratives, with implications for both research and healthcare practice. It demonstrated knowledge gaps in relation to alcohol recovery narratives of people living in lower income countries, or those who recovered outside of mainstream services.

PROTOCOL REGISTRATION

Prospero registration number: CRD42020164185.

["iFightDepression" in inpatient treatment : Evaluation of a web-based, therapist-guided self-management program on a specialized ward for affective disorders]

BACKGROUND

E‑mental health mainly plays a role in the outpatient treatment of patients with depressive disorders. The goal of this study was to implement and evaluate the web-based, therapist-guided self-management tool "iFightDepression" (iFD) to clarify if there is a benefit for inpatient use.

MATERIAL AND METHODS

In this study 78 inpatients with affective disorders (ICD-10 F32.0‑3, F33.0-3) or dysthymia (F34) were recruited. The intervention duration with the iFD tool went from admission until discharge, therapeutic support was granted by the ward staff. Symptom severity, intervention expectations and experience with therapy were processed in an online questionnaire before the intervention (T0) while intervention satisfaction was captured after the intervention shortly before discharge (T1) in a paper-pencil questionnaire.

RESULTS

Out of 78 participating inpatients 42 used the iFD tool at least once. Moderate to high levels of expectation regarding the iFD tool and mildly above-average level of satisfaction after the intervention were observed. Of the active users 67% indicated they would continue to use the iFD tool after discharge. The main reasons for not using the iFD tool were short duration of stay, severity of disease and lack of digital literacy.

CONCLUSION

An implementation of the iFD tool is feasible on principle. Active users gave positive feedback concerning the intervention and most participants claimed to continue using the iFD tool after discharge; however, low usage rates among study participants (42/78, 54%) showed barriers of implementation that have to be addressed and underline the importance of adaptations regarding the use of the intervention in a clinical setting.

Chatbot-Delivered Psychotherapy for Adults With Depressive and Anxiety Symptoms: A Systematic Review and Meta-Regression

Although psychotherapy is a well-established treatment for depression and anxiety, chatbot-delivered psychotherapy is an emerging field that has yet to be explored in depth. This review aims to (a) examine the effectiveness of chatbot-delivered psychotherapy in improving depressive symptoms among adults with depression or anxiety, and (b) evaluate the preferred features for the design of chatbot-delivered psychotherapy. Eight electronic databases were searched for relevant randomized controlled trials. Meta-analysis and random effects meta-regression was conducted using Comprehensive Meta-Analysis 3.0 software. Overall effect was measured using Hedges's g and determined using z statistics at significance level p < .05. Assessment of heterogeneity was done using χ² and I² tests. A meta-analysis of 11 trials revealed that chatbot-delivered psychotherapy significantly improved depressive symptoms (g = 0.54, 95% confidence interval [-0.66, -0.42], p < .001). Although no significant subgroup differences were detected, results revealed larger effect sizes for samples of clinically diagnosed anxiety or depression, chatbots with an embodiment, a combination of types of input and output formats, less than 10 sessions, problem-solving therapy, off-line platforms, and in different regions of the United States than their counterparts. Meta-regression did not identify significant covariates that had an impact on depressive symptoms. Chatbot-delivered psychotherapy can be adopted in health care institutions as an alternative treatment for depression and anxiety. More high-quality trials are warranted to confirm the effectiveness of chatbot-delivered psychotherapy on depressive symptoms. PROSPERO registration number: CRD42020153332.

Online therapy: an added value for inpatient routine care? Perspectives from mental health care professionals

Internet-delivered interventions can be effective in treating mental disorders. However, their rate of use in German psychiatric inpatient routine care is low. The current study aimed to investigate the attitude of mental health care professionals working in inpatient care regarding internet-delivered interventions, including presumed benefits, barriers and facilitators. In total, 176 health professionals from ten inpatient psychiatric hospitals throughout Germany were surveyed on site. The professionals' attitude towards internet-delivered interventions in inpatient care was assessed by an adapted version of the 'Attitude toward Telemedicine in Psychiatry and Psychotherapy' (ATTiP) questionnaire. To identify benefits, barriers and facilitators, we developed open-response questions that were based on the 'Unified Theory of Acceptance and Use of Technology' (UTAUT) and analyzed by a qualitative content analysis. Professionals reported little experience or knowledge about internet-delivered interventions. Their attitude towards internet-delivered interventions in psychiatric inpatient care was rather indifferent. The most frequently mentioned potential benefits were an optimised treatment structure and patient empowerment; the most frequently anticipated barriers were too severe symptoms of patients, the feared neglect of face-to-face contacts and insufficient technical equipment; and the most frequently mentioned facilitators were high usability of the internet-based intervention, a sufficient functional level of the patient and further education of staff. For successful implementation in the inpatient sector, internet-delivered interventions must be adapted to the special needs of severely mentally ill patients and to the hospital management systems and workflow. In addition, technical preconditions (internet access, devices) must be met. Last, further education of mental health care professionals is needed.

Adding an app-based intervention to the Cognitive Behavioral Analysis System of Psychotherapy (CBASP): Proof-of-Concept in Routine Outpatient Psychotherapy Treatment (Preprint)

Background

The Cognitive Behavioral Analysis System of Psychotherapy (CBASP) is an empirically supported psychotherapeutic treatment developed specifically for persistent depressive disorder. However, given the high rates of nonresponse and relapse, there is a need for optimization. Studies suggest that outcomes can be improved by increasing the treatment dose via, for example, the continuous web-based application of therapy strategies between sessions. The strong emphasis in CBASP on the therapeutic relationship, combined with limited therapeutic availabilities, encourages the addition of web-based interventions to face-to-face therapy in terms of blended therapy.

Objective

The aim of this study was to test an app-based intervention called CBASPath, which was designed to be used as a blended therapy tool. CBASPath offers 8 sequential modules with app-based exercises to facilitate additional engagement with the therapy content and a separate exercise to conduct situational analyses within the app at any time.

Methods

CBASPath was tested in an open pilot study as part of routine outpatient CBASP treatment. Participating patients were asked to report their use patterns and blended use (integrated use of the app as part of therapy sessions) at 3 assessment points over the 6-month test period and rate the usability and quality of and their satisfaction with CBASPath.

Results

The results of the pilot trial showed that 93% (12/13) of participants used CBASPath as a blended tool during their therapy and maintained this throughout the study period. Overall, they reported good usability and quality ratings along with high user satisfaction. All participants showed favorable engagement with CBASPath; however, the frequency of use differed widely among the participants and assessment points. Situational analysis was used by all participants, and the number of completed modules ranged from 1 to 7. All participants reported blended use, although the frequency of integration in the face-to-face sessions varied widely.

Conclusions

Our findings suggest that the digital augmentation of complex and highly interactive CBASP therapy in the form of blended therapy with CBASPath is feasible in routine outpatient care. Therapeutic guidance might contribute to high adherence and increase patient self-management. A few adjustments, such as saving entries directly in the app, could facilitate higher user engagement. A randomized controlled trial is now needed to investigate the efficacy and added value of this blended approach. In the long term, CBASPath could help optimize persistent depressive disorder treatment and reduce relapse by intensifying therapy and providing long-term patient support through the app.

A blended rational emotive occupational health coaching for job-stress among teachers of children with special education needs

BACKGROUND/OBJECTIVES

Heightened stress tends to undermine both teachers' efficacy and students' outcomes. Managing job stress in teachers of children with special education needs is continually recommended due to the increased demands for the teachers to adapt curriculum content, learning materials and learning environments for learning. This study investigated the efficacy of blended Rational Emotive Occupational Health Coaching in reducing occupational stress among teachers of children with special needs in Abia State, Nigeria.

METHOD

The current study adopted a group-randomized waitlist control trial design with pretest, post-test and follow-up assessments. Participants (N = 83) included teachers of children with special education needs in inclusive and specialized schools. The bREOHC group was exposed to intersession face-to-face and online REOC program weekly for twelve (12) weeks. Data were collected using Single Item Stress Questionnaire (SISQ), Teachers' Stress Inventory and Participants' Satisfaction questionnaire (PSQ). Data collected at baseline; post-test as well as follow-up 1 and 2 evaluations were analyzed using mean, standard deviation, t-test statistics, repeated measures ANOVA and bar charts.

RESULTS

Results revealed that the mean perceived stress, stress symptoms and the total teachers' stress score of the bREOHC group at post-test and follow up assessments reduced significantly, compared to the waitlisted group. Participants also reported high level of satisfaction with the therapy and procedures.

CONCLUSION

From the findings of this study, we conclude that blended REOHC is efficacious in occupational stress management among teachers of children with special education needs.

Stress in teachers of children with neuro-developmental disorders: Effect of blended rational emotive behavioral therapy

BACKGROUND/OBJECTIVES

Neuro-developmental disorders impose a wide range of learning barriers on learners, increasing stress among their teachers. Evidence attests to the heightened stress among teachers teaching children with such conditions. This study tested the efficacy of blended Rational Emotive Behavior Therapy in reducing job stress among teachers of children with neuro-developmental disorders in Abia State, Nigeria.

METHOD

The current study adopted a group-randomized waitlist control trial design with pretest, post-test, and follow-up assessments. Participants (N = 83) included teachers of children with neuro-developmental disorders in inclusive and specialized schools. The blended Rational Emotive Behavior Therapy group participated in a 2 h intersession face-to-face and online Rational Emotive Behavior Therapy (REBT) program weekly for 12 weeks. Data were collected using the Single Item Stress Questionnaire, Teachers' Stress Inventory, and Participants' Satisfaction questionnaire. The waitlisted group also received a blended Rational Emotive Behavior Therapy intervention after all data collection. Data collected at baseline; post-test as well as follow-up 1 and 2 evaluations were analyzed using mean, standard deviation, t-test statistics, repeated measures analysis of variance, and charts.

RESULTS

Results revealed that the mean perceived stress, stress symptoms, and the total teachers' stress score of the blended Rational Emotive Behavior Therapy group at post-test and follow-up assessments reduced significantly, compared to the waitlisted group. Participants also reported a high level of satisfaction with the therapy and procedures.

CONCLUSION

From the findings of this study, we conclude that blended Rational Emotive Behaviour Therapy is efficacious in occupational stress management among teachers of children with neuro-developmental disorders.

Blended Care in In-Patient Acute Psychiatric Care. The Example of a Group Training for Social Competences in Adults-A Pretest-Posttest Feasibility Study

INTRODUCTION

Deficits in social skills can be an important modulating factor in the development and progress of various mental disorders. However, limited resources in inpatient care often impede effective social skills training. This study investigates the feasibility of a blended group training for social skills (SST) in an inpatient psychiatric setting. Methods and Analysis: For this one-group pretest-posttest trial, inpatients with a diagnosed mental disorder were recruited. Participation in the blended SST lasted four weeks and took place within usual inpatient psychiatric care. The blended intervention comprised four face-to-face group sessions and three complementary online modules within four weeks. Assessments took place before (t1) and after (t2) the training. Feasibility outcomes (use, acceptance, satisfaction, implementability into usual psychiatric inpatient care) and effectiveness outcomes regarding social skills were assessed.

RESULTS

N = 15 participants were recruited. Most patients completed all questionnaires (93%) and all modules of the blended SST concept (60%). All participants (100%) would recommend the blended intervention to a friend. Regarding social skills, exploratory analyses revealed a non-significant medium-sized effect (Cohen's d = 0.5 95%CI 0.3 to 1.25, p = 0.08).

DISCUSSION

This trial shows that a blended care SST is feasible for the use in acute psychiatric inpatient care setting. Although the wards were acute, with high turnover and change of inpatients, 60% of participants were treated per protocol over four weeks. Overall, the evidence on blended care concepts in psychiatric care settings is extremely poor to date. Hence, this trial should encourage intensified blended inpatient psychiatric care research.

Evaluation des webbasierten PaarBalance®-Partnerschaftsprograms bei beratungsbegleitendem Einsatz

<b><i>Hintergrund:</i></b> Beziehungsprobleme gehen mit psychischen und physischen Problemen einher. Auch wenn effektive Behandlungsmöglichkeiten existieren, suchen viele Paare spät oder keine professionelle Hilfe. Die Kombination eines Online-Programms mit einer Paarberatung kann helfen, Barrieren wie hohe Kosten, lange Anfahrtswege oder Wartezeiten zu reduzieren und den Zugang zu effektiver Beratung zu erleichtern. <b><i>Methoden:</i></b> Die Studie prüfte die Wirksamkeit des PaarBalance®-Online-Programms zur Verbesserung der Beziehungszufriedenheit in Kombination mit einer niederfrequenten Face-to-Face-Paarberatung in einem unkontrollierten Prä-post-Design. In diesem naturalistischen, an die Routinepraxis der Beratenden (<i>n</i> = 8) angelehnten Design erhielten die 92 Teilnehmenden, welche über die Beratungsstellen oder über Zeitungsartikel rekrutiert wurden, während eines 15-wöchigen Interventionszeitraums neben wenigen Beratungsterminen einen Zugang zum Online-Programm. Gemessen wurde die Auswirkung des kombinierten Unterstützungsangebots auf Beziehungszufriedenheit, Depressivität und Angst zu drei Messzeitpunkten (Prä, Post nach 15 Wochen und Follow-up nach 12 Wochen). Die Daten wurden mit hierarchisch linearen Modellen analysiert. <b><i>Ergebnisse:</i></b> Die Beziehungszufriedenheit verbesserte sich signifikant während der Interventionsphase (Cohens <i>d</i> = 0,29) und blieb während der Follow-up-Phase stabil. Für Depression und Angst zeigten sich keine signifikanten Veränderungen. <b><i>Schlussfolgerungen:</i></b> Die Ergebnisse weisen darauf hin, dass das PaarBalance®-Programm in Kombination mit einer niederfrequenten Paarberatung ein effektives Mittel zur Verbesserung der Beziehungszufriedenheit darstellen könnte. Zukünftige kontrollierte Studien sind nötig, um die Wirksamkeit dieses Modells abschließend zu klären.

[All in the mix? Blended psychotherapy as an example of digitalization in psychotherapy]

Hintergrund

Über die letzten Jahrzehnte wurden verschiedene Ansätze zur Digitalisierung der Psychotherapie (PT) entwickelt. Eine Behandlungsform stellt die Kombination von „Face-to-face“-PT und Online-Interventionen, die „Blended-PT“, dar. Während das Forschungsinteresse zu Blended-PT in den letzten Jahren zugenommen hat, wurde die praktische Anwendung von Blended-PT im deutschsprachigen Raum bisher weniger stark umgesetzt. Auch bedingt durch die globale, durch die „coronavirus disease 2019“ (COVID-19) ausgelöste Pandemie gewinnen Blended-PT und andere Online-Ansätze zunehmend an Bedeutung.

Ziel der Arbeit

Ein Überblick zum Thema und zu verschiedenen Formen von Blended-PT wird gegeben. Im Weiteren wird auf die Wirksamkeit, die Sicht der Patient:innen und Therapeut:innen sowie auf das Thema der Implementierung eingegangen.

Material und Methoden

Narrative Übersicht der Literatur zum Thema Blended-PT; auf Basis einer umfassenden Suche werden wichtige Überlegungen und Befunde eingeordnet und beschrieben.

Ergebnisse

Der Begriff der Blended-PT wird bisher uneinheitlich verwendet. In Anlehnung an Blended-Learning-Ansätze können „blends“ auf verschiedenen Ebenen stattfinden. Es kann zwischen ergänzenden und transformierenden Blends unterschieden werden. In transformierenden Blends verändert das Format die Face-to-face-PT grundlegend. Zu einigen Blended-PT-Formen gibt es bereits Wirksamkeitsbelege, zu anderen besteht dringender Forschungsbedarf. Im Vergleich zu Face-to-face-PT und reiner Online-Therapie könnte die Blended-PT verschiedene Vorteile bieten.

Schlussfolgerung

Das Interesse an Blended-PT wächst aufseiten von Patient:innen und Therapeut:innen. Um evidenzbasierte Blended-PT erfolgreich anbieten zu können, bedarf es der engen Zusammenarbeit zwischen Wissenschaft, Institutionen, Therapeut:innen und Kostenträgern im Gesundheitssystem.

Blinding in randomised clinical trials of psychological interventions: a retrospective study of published trial reports

OBJECTIVES

To study the extent of blinding in randomised clinical trials of psychological interventions and the interpretative considerations if randomised clinical trials are not blinded.

DESIGN

Retrospective study of trial reports published in six high impact factor journals within the field of psychiatry in 2017 and 2018.

SETTING

Trial reports published in World Psychiatry, JAMA Psychiatry, Lancet Psychiatry, American Journal of Psychiatry, British Journal of Psychiatry, or Psychotherapy and Psychosomatics.

MAIN OUTCOME MEASURES

Blinding status of participants, treatment providers, outcome assessors, data managers, the data safety and monitoring committee, statisticians and conclusion makers, if trialists rejected the null hypothesis on the primary outcome measure, and if trialists discussed the potential bias risk from lack of blinding in the published trial report.

RESULTS

63 randomised clinical trials of psychological interventions were identified. None (0%; 95% CI 0% to 5.75%) of the trials reported blinding of all possible key persons. 37 (58.7%; 95% CI 46.42% to 70.04%) trials reported blinding of outcome assessors. Two (3.2%; 95% CI 0.87% to 10.86%) trials reported blinding of participants. Two (3.2%; 95% CI 0.87% to 10.86%) trials reported blinding of data managers. Three (4.8%; 95% CI 1.63% to 13.09%) trials reported blinding of statisticians. None of the trials reported blinding of treatment providers, the data safety and monitoring committee, and conclusion makers. 45 (71.4%; 95% CI 59.30% to 81.10%) trials rejected the null hypothesis on the primary outcome(s). 13 (20.7%; 95% CI 12.48% to 32.17%) trials discussed the potential bias risk from lack of blinding in the published trial report.

CONCLUSIONS

Blinding of key persons involved in randomised clinical trials of psychological interventions is rarely sufficiently documented. The possible interpretative limitations are only rarely considered. There is a need of randomised clinical trials of psychological interventions with documented blinding attempts of all possible key persons.

Results of the Optimune trial: A randomized controlled trial evaluating a novel Internet intervention for breast cancer survivors

INTRODUCTION

After the acute treatment phase, breast cancer patients often experience low quality of life and impaired mental health, which could potentially be improved by offering cognitive behavioural therapy (CBT) and addressing exercise and dietary habits. However, CBT and other behavioural interventions are rarely available beyond the acute treatment phase. Internet-based interventions could bridge such treatment gaps, given their flexibility and scalability. In this randomized controlled trial (RCT), we investigated the effects of such an intervention ("Optimune") over three months.

METHODS

This RCT included 363 female breast cancer survivors (age range = 30-70), recruited from the community, who had completed the active treatment phase. Inclusion criteria were: breast cancer diagnosis less than 5 years ago and acute treatment completion at least 1 month ago. Participants were randomly assigned to (1) an intervention group (n = 181), in which they received care as usual (CAU) plus 12-month access to Optimune immediately after randomization, or (2) a control group (n = 182), in which they received CAU and Optimune after a delay of 3 months. Primary endpoints were quality of life (QoL), physical activity, and dietary habits at three months. We hypothesized that intervention group participants would report better QoL, more physical activity, and improved dietary habits after 3 months.

RESULTS

Intention-to-treat (ITT) analyses revealed significant effects on QoL (d = 0.27, 95% CI: 0.07-0.48) and dietary habits (d = 0.36, 95% CI: 0.15-0.56), but the effect on physical exercise was not significant (d = 0.30; 95% CI: 0.10-0.51).

DISCUSSION

These findings suggest the effectiveness of Optimune, a new CBT-based Internet intervention for breast cancer survivors, in facilitating improvements in quality of life and dietary habits. Efforts to disseminate this intervention more broadly may be warranted.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03643640. Registered August 23rd 2018, https://clinicaltrials.gov/ct2/show/NCT03643640.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

TRIAL REGISTRATION

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

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1136/bmjopen-2018-028042.

Who seeks Internet-based interventions for depression in Brazil?

Abstract Specific psychological treatments for depressive disorders delivered on the Internet have shown effectiveness and presented advantages over face-to-face treatments (potentially less expensive, flexible schedules, available in remote areas). This paper aims to describe the characteristics of those who sought help from an online self-guided intervention for depression and to explore hypotheses about predictors of enrollment to the program. Based on a sample of 282 of individuals who filled in screening questionnaires, we verified that the respondents were mainly female, were on average 34.36 years old, were primarily recruited through Facebook, had been previously diagnosed by mental health professionals, presented moderate self-efficacy perception, and had moderately severe symptoms of depression. Respondents who reported comorbid conditions were more likely to attend enrollment interviews, and being in treatment or not did not influence attendance. Such characterization may provide strategies to reach more people and to optimize the design of interventions targeting help-seeking depressed individuals in Brazil.

Interventions to improve return to work in depressed people

BACKGROUND

Work disability such as sickness absence is common in people with depression.

OBJECTIVES

To evaluate the effectiveness of interventions aimed at reducing work disability in employees with depressive disorders.

SEARCH METHODS

We searched CENTRAL (The Cochrane Library), MEDLINE, Embase, CINAHL, and PsycINFO until April 4th 2020.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) and cluster-RCTs of work-directed and clinical interventions for depressed people that included days of sickness absence or being off work as an outcome. We also analysed the effects on depression and work functioning.

DATA COLLECTION AND ANALYSIS

Two review authors independently extracted the data and rated the certainty of the evidence using GRADE. We used standardised mean differences (SMDs) or risk ratios (RR) with 95% confidence intervals (CI) to pool study results in studies we judged to be sufficiently similar.  MAIN RESULTS: In this update, we added 23 new studies. In total, we included 45 studies with 88 study arms, involving 12,109 participants with either a major depressive disorder or a high level of depressive symptoms. Risk of bias The most common types of bias risk were detection bias (27 studies) and attrition bias (22 studies), both for the outcome of sickness absence. Work-directed interventions Work-directed interventions combined with clinical interventions A combination of a work-directed intervention and a clinical intervention probably reduces days of sickness absence within the first year of follow-up (SMD -0.25, 95% CI -0.38 to -0.12; 9 studies; moderate-certainty evidence). This translates back to 0.5 fewer (95% CI -0.7 to -0.2) sick leave days in the past two weeks or 25 fewer days during one year (95% CI -37.5 to -11.8). The intervention does not lead to fewer persons being off work beyond one year follow-up (RR 0.96, 95% CI 0.85 to 1.09; 2 studies, high-certainty evidence). The intervention may reduce depressive symptoms (SMD -0.25, 95% CI -0.49 to -0.01; 8 studies, low-certainty evidence) and probably has a small effect on work functioning (SMD -0.19, 95% CI -0.42 to 0.06; 5 studies, moderate-certainty evidence) within the first year of follow-up.  Stand alone work-directed interventions A specific work-directed intervention alone may increase the number of sickness absence days compared with work-directed care as usual (SMD 0.39, 95% CI 0.04 to 0.74; 2 studies, low-certainty evidence) but probably does not lead to more people being off work within the first year of follow-up (RR 0.93, 95% CI 0.77 to 1.11; 1 study, moderate-certainty evidence) or beyond (RR 1.00, 95% CI 0.82 to 1.22; 2 studies, moderate-certainty evidence). There is probably no effect on depressive symptoms (SMD -0.10, 95% -0.30 CI to 0.10; 4 studies, moderate-certainty evidence) within the first year of follow-up and there may be no effect on depressive symptoms beyond that time (SMD 0.18, 95% CI -0.13 to 0.49; 1 study, low-certainty evidence). The intervention may also not lead to better work functioning (SMD -0.32, 95% CI -0.90 to 0.26; 1 study, low-certainty evidence) within the first year of follow-up.   Psychological interventions A psychological intervention, either face-to-face, or an E-mental health intervention, with or without professional guidance, may reduce the number of sickness absence days, compared with care as usual (SMD -0.15, 95% CI -0.28 to -0.03; 9 studies, low-certainty evidence). It may also reduce depressive symptoms (SMD -0.30, 95% CI -0.45 to -0.15, 8 studies, low-certainty evidence). We are uncertain whether these psychological interventions improve work ability (SMD -0.15 95% CI -0.46 to 0.57; 1 study; very low-certainty evidence). Psychological intervention combined with antidepressant medication Two studies compared the effect of a psychological intervention combined with antidepressants to antidepressants alone. One study combined psychodynamic therapy with tricyclic antidepressant (TCA) medication and another combined telephone-administered cognitive behavioural therapy (CBT) with a selective serotonin reuptake inhibitor (SSRI). We are uncertain if this intervention reduces the number of sickness absence days (SMD -0.38, 95% CI -0.99 to 0.24; 2 studies, very low-certainty evidence) but found that there may be no effect on depressive symptoms (SMD -0.19, 95% CI -0.50 to 0.12; 2 studies, low-certainty evidence). Antidepressant medication only Three studies compared the effectiveness of SSRI to selective norepinephrine reuptake inhibitor (SNRI) medication on reducing sickness absence and yielded highly inconsistent results. Improved care Overall, interventions to improve care did not lead to fewer days of sickness absence, compared to care as usual (SMD -0.05, 95% CI -0.16 to 0.06; 7 studies, moderate-certainty evidence). However, in studies with a low risk of bias, the intervention probably leads to fewer days of sickness absence in the first year of follow-up (SMD -0.20, 95% CI -0.35 to -0.05; 2 studies; moderate-certainty evidence). Improved care probably leads to fewer depressive symptoms (SMD -0.21, 95% CI -0.35 to -0.07; 7 studies, moderate-certainty evidence) but may possibly lead to a decrease in work-functioning (SMD 0.5, 95% CI 0.34 to 0.66; 1 study; moderate-certainty evidence). Exercise Supervised strength exercise may reduce sickness absence, compared to relaxation (SMD -1.11; 95% CI -1.68 to -0.54; one study, low-certainty evidence). However, aerobic exercise probably is not more effective than relaxation or stretching (SMD -0.06; 95% CI -0.36 to 0.24; 2 studies, moderate-certainty evidence). Both studies found no differences between the two conditions in depressive symptoms.

AUTHORS' CONCLUSIONS

A combination of a work-directed intervention and a clinical intervention probably reduces the number of sickness absence days, but at the end of one year or longer follow-up, this does not lead to more people in the intervention group being at work. The intervention may also reduce depressive symptoms and probably increases work functioning more than care as usual. Specific work-directed interventions may not be more effective than usual work-directed care alone. Psychological interventions may reduce the number of sickness absence days, compared with care as usual. Interventions to improve clinical care probably lead to lower sickness absence and lower levels of depression, compared with care as usual. There was no evidence of a difference in effect on sickness absence of one antidepressant medication compared to another. Further research is needed to assess which combination of work-directed and clinical interventions works best.

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

Background

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

Objective

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

Methods

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

Results

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

Conclusions

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

Trial Registration

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

International Registered Report Identifier (IRRID)

RR2-10.1136/bmjopen-2018-028042

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.

Feasibility, effectiveness and safety of the self-management intervention deprexis in routine medical care: Results of an uncontrolled observational study

INTRODUCTION

Numerous RCTs have demonstrated the effectiveness of internet-based self-management interventions (SMIs) in the treatment of depressive symptoms. These studíes often recruit outside routine clinical practice. For the present study, we investigated the feasibility, effectiveness and safety of an SMI (deprexis) in routine medical care using a non-interventional design.

METHODS

A total of 104 patients with a depressive disorder (60.58% female, mean age 45.82 yrs) were recruited in 25 outpatient practices in Germany (mostly psychiatric practices, n = 16). They received 12 week access to the SMI in addition to their usual care (76.0% took concomitant antidepressant medication). Guidance could optionally be offered by the treating physician. The effectiveness of the intervention was assessed using the clinician-rated short version of the Montgomery Asberg-Depression Scale (svMADRS) and the Patient Health Questionnaire (PHQ-9), a self-rating for depressive symptoms. Outcomes were assessed at baseline as well as at weeks 3, 6, 9 and 12.

RESULTS

Most patients reported using the intervention at least once (n = 87, 83.6%), among these users the mean number of sessions was 18.05 (SD = 11.33). Only a minority of patients received the guided version of the intervention (n = 7, 8.0%). The severity of depressive symptoms decreased significantly over the observation period from 29.72 (SD = 10.03) to 15.73 (SD = 9.74) for the svMADRS (Cohen's d = 1.42, 95% CI 0.08-2.76) and from 15.20 (SD = 5.03) to 8.77 (SD = 5.03) for the PHQ-9 (d = 1.29, 95% CI 0.60-1.97).

DISCUSSION

The size of the pre-post effect on depressive symptoms observed in this study is comparable to the pre-post effect size reported in an RCT using the same intervention in patients suffering from depressive symptoms of the same severity. Limitations of this study include the lack of a control group and the fact that the recruitment rate was far lower than expected.

CONCLUSION

This non-interventional study conducted in outpatient practices confirms results from numerous RCTs. Taken together, these data show that deprexis can be used effectively and safely in the routine care of depressed outpatients.

Blended Care-Cognitive Behavioral Therapy for Depression and Anxiety in Real-World Settings: Pragmatic Retrospective Study

Background

The past few decades saw considerable advances in research and dissemination of evidence-based psychotherapies, yet available treatment resources are not able to meet the high need for care for individuals suffering from depression or anxiety. Blended care psychotherapy, which combines the strengths of therapist-led and internet interventions, can narrow this gap and be clinically effective and efficient, but has rarely been evaluated outside of controlled research settings.

Objective

This study evaluated the effectiveness of a blended care intervention (video-based cognitive behavior therapy and internet intervention) under real-world conditions.

Methods

This is a pragmatic retrospective cohort analysis of 385 participants with clinical range depression and/or anxiety symptoms at baseline, measured using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), who enrolled in blended care psychotherapy treatment. Participants resided in the United States and had access to the blended care intervention as a mental health benefit offered through their employers. Levels of depression and anxiety were tracked throughout treatment. Hierarchical linear modeling was used to examine the change in symptoms over time. The effects of age, gender, and providers on participants’ symptom change trajectories were also evaluated. Paired sample t-tests were also conducted, and rates of positive clinical change and clinically significant improvement were calculated.

Results

The average depression and anxiety symptoms at 6 weeks after the start of treatment were 5.94 and 6.57, respectively. There were significant linear effects of time on both symptoms of depression and anxiety (β=–.49, P<.001 and β=–.64, P<.001). The quadratic effect was also significant for both symptoms of depression and anxiety (β=.04, P<.001 for both), suggesting a decelerated decrease in symptoms over time. Approximately 73% (n=283) of all 385 participants demonstrated reliable improvement, and 83% (n=319) recovered on either the PHQ-9 or GAD-7 measures. Large effect sizes were observed on both symptoms of depression (Cohen d=1.08) and of anxiety (d=1.33).

Conclusions

Video blended care cognitive behavioral therapy interventions can be effective and efficient in treating symptoms of depression and anxiety in real-world conditions. Future research should investigate the differential and interactive contribution of the therapist-led and digital components of care to patient outcomes to optimize care.

Digital interventions in adult mental healthcare settings: recent evidence and future directions

PURPOSE OF REVIEW

Internet and mobile-based interventions (IMI) can be used as online delivered forms of psychotherapeutic mental health treatments. These interventions can be an effective as well as time and cost-efficient treatment with the potential to scale up mental healthcare. In this review, we map implementation possibilities into routine mental healthcare settings and provide the most recent evidence.

RECENT FINDINGS

Fourteen articles on digital mental healthcare approaches published in the last 18 months were included. Despite the limited number, the studies provide evidence for the effectiveness of IMI in treating inpatients and outpatients with various disorders in different mental healthcare settings. IMI were investigated as stand-alone interventions, in combination with other treatment forms (blended-care), or as aftercare.

SUMMARY

Although there is encouraging evidence for the effectiveness of IMI in mental healthcare settings, several limitations have to be considered. The small number of studies conducted within the healthcare system, especially with inpatient samples, calls for more collaboration between researchers and clinical practitioners to unravel barriers and develop efficient protocols for the integration into routine care. Nonetheless, IMI are a promising tool for the endeavour of closing the treatment gap and should, therefore, be further explored in varying settings.

Therapeutic Alliance in Technology-Based Interventions for the Treatment of Depression: Systematic Review

Background

There is growing evidence that technology-based interventions (TBIs) are effective for the treatment of depression. As TBIs are gaining acceptance, a question arises whether good therapeutic alliance, considered a key aspect of psychotherapy, can be established without or with minimal face-to-face contact or rather changes if blended concepts are applied. While therapeutic alliance has been studied extensively in the context of face-to-face therapy, only few studies have reviewed evidence on alliance ratings in TBIs.

Objective

The purpose of this study was to examine therapeutic alliance in technology-based psychological interventions for the treatment of depression.

Methods

We searched Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, PsycINFO, PSYNDEX, CINAHL, clinical trial registers, and sources of grey literature for randomized controlled trials on TBIs in the treatment of adults with unipolar depression. All publications were selected according to prespecified criteria. Data were extracted by two independent reviewers.

Results

A total of eight out of 98 studies (9.5%) included in the review on TBIs for depression considered therapeutic alliance as part of their evaluation. The available data covered eight different treatment conditions, including four stand-alone treatments (face-to-face psychotherapy, email, telephone, and internet program) and four combined treatments (face-to-face psychotherapy plus a smartphone app and an internet program combined with face-to-face psychotherapy, treatment as usual, or email/telephone). On average, patients rated the alliance positively across all groups. Importantly, no relevant group differences regarding therapeutic alliance sum scores were found in any of the studies. Five studies investigated the relationship between patients’ alliance ratings and treatment outcome, revealing mixed results.

Conclusions

Our results suggest that it is possible to establish a positive therapeutic alliance across a variety of different TBIs for depression, but this is based on a small number of studies. Future research needs to determine on what basis therapeutic alliance is formed in settings that do not allow for additional nonverbal cues, perhaps with adapted instruments to measure therapeutic alliance.

Trial Registration

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

International Registered Report Identifier (IRRID)

RR2-10.1136/bmjopen-2018-028042

Effectiveness of an internet-based self-guided program to treat depression in a sample of Brazilian users: a study protocol

Although psychological treatments for depressive disorders are available, they are often expensive or inaccessible for many. Web-based interventions that require minimal or no contact with therapists have been shown effective. To the best of our knowledge, no study using this treatment format has been conducted in Brazil. The Deprexis program was designed using empirically established principles of cognitive-behavioral therapy to reduce depressive symptoms. The objective of this study was to evaluate the effectiveness of Deprexis in Brazil. This randomized controlled trial will include 128 Brazilians with clinically significant depression symptoms or who have been diagnosed with depressive disorder (major depressive disorder or dysthymia), recruited over the internet (Brazilian forums, social networks, or e-mail lists). Individuals with other psychiatric diagnoses that require significant attention (e.g., bipolar disorder, psychosis) will not be included in the trial. Participants will be randomly assigned to 1) treatment as usual plus immediate access to Deprexis or 2) treatment as usual plus delayed access to Deprexis (after 8 weeks). Participants will be able to obtain other treatment types in addition to the online intervention. If found effective, this web-based intervention would increase the evidence-based care options for depression treatment in Brazil. RBR-6kk3bx, UTN U1111-1212-8998.

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.

Effectiveness of a tailored, integrative Internet intervention (deprexis) for depression: Updated meta-analysis

Digitally delivered interventions for depression vary in many aspects, including their therapeutic orientation, depth of content, interactivity, individual tailoring, inclusion of multimedia, cost, and effectiveness. However, their effectiveness is rarely examined in intervention-specific meta-analyses. An earlier meta-analysis of eight randomized controlled trials (RCT) demonstrated the effectiveness of a tailored, integrative digital intervention (deprexis), which is delivered via the Internet. This updated meta-analysis of twelve deprexis-specific RCT with a total of N = 2901 participants confirmed the effectiveness of deprexis for depression reduction at post-intervention (g = 0.51, 95% CI: 0.40-0.62, I2 = 26%). Results were analogous when study quality, screening and randomization procedure were taken into account. Clinician guidance, developer-involvement, setting (community vs. clinical), and initial symptom severity did not have statistically significant effects on the effect size, and there was no evidence of publication bias. Thus, these findings demonstrate that deprexis can facilitate clinically relevant reduction of depressive symptoms over 8-12 weeks across a broad range of initial symptom severity, and that the intervention can be combined with other forms of depression treatment. There is now a need to study the intervention's implementation in routine care settings as well as its long-term effectiveness and cost-effectiveness in diverse cultural and linguistic settings.

Protocol for the Optimune trial: a randomized controlled trial evaluating a novel Internet intervention for breast cancer survivors

INTRODUCTION

Depression and fatigue are common in breast cancer survivors, and their presence is associated with personal suffering and worse prognosis. While many women receive short-term psychological support in the acute treatment phase, this is rarely available in subsequent phases. Internet interventions for breast cancer survivors could provide additional psychological support, as they are easily accessible and may be effective. However, no trial has yet examined the effectiveness of an Internet intervention that provides cognitive behavioural therapy techniques plus lifestyle advice for this population. This trial aims to test whether Optimune, a novel Internet intervention we developed for that purpose, leads to improvements in quality of life and relevant lifestyle habits over the course of 3 to 6 months.

METHODS

This randomized controlled trial (RCT) will include 360 female breast cancer survivors who have completed the active tumour eradication phase. Participants will be recruited from various settings, including web-based advertisements and Internet forums in German-speaking countries. The main inclusion criteria are a breast cancer diagnosis less than 5 years ago and completion of acute treatment at least 1 month ago, as verified by discharge letter from an oncology treatment centre. Participants will be randomly assigned to either (1) a control group, in which they receive care as usual (CAU) and are given access to Optimune after a delay of 3 months (CAU/wait list control), or (2) a treatment group that may also use CAU and will receive 12-month access to Optimune immediately after randomization. The three primary endpoints are quality of life, physical activity and diet quality, assessed with the World Health Organization Quality of Life Questionnaire, the International Physical Activity Questionnaire and the Food Quality Questionnaire, at 3 months post-baseline; secondary outcomes include cancer-related fatigue, emotional stress, depression, anxiety, fear of progression, insomnia, usefulness of the programme and negative treatment effects. Online assessments are conducted at baseline (T0), 3 months (T1) and 6 months (T2).

DISCUSSION

Results of this RCT are expected to extend the body of knowledge with regard to the effectiveness of CBT-based Internet interventions for female breast cancer survivors.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03643640. Registered on 23 August 2018.

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.

Cost and Effectiveness of Blended Versus Standard Cognitive Behavioral Therapy for Outpatients With Depression in Routine Specialized Mental Health Care: Pilot Randomized Controlled Trial

BACKGROUND

Cognitive behavioral therapy (CBT) is an effective treatment, but access is often restricted due to costs and limited availability of trained therapists. Blending online and face-to-face CBT for depression might improve cost-effectiveness and treatment availability.

OBJECTIVE

This pilot study aimed to examine the costs and effectiveness of blended CBT compared with standard CBT for depressed patients in specialized mental health care to guide further research and development of blended CBT.

METHODS

Patients were randomly allocated to blended CBT (n=53) or standard CBT (n=49). Blended CBT consisted of 10 weekly face-to-face sessions and 9 Web-based sessions. Standard CBT consisted of 15 to 20 weekly face-to-face sessions. At baseline and 10, 20, and 30 weeks after start of treatment, self-assessed depression severity, quality-adjusted life-years (QALYs), and costs were measured. Clinicians, blinded to treatment allocation, assessed psychopathology at all time points. Data were analyzed using linear mixed models. Uncertainty intervals around cost and effect estimates were estimated with 5000 Monte Carlo simulations.

RESULTS

Blended CBT treatment duration was mean 19.0 (SD 12.6) weeks versus mean 33.2 (SD 23.0) weeks in standard CBT (P<.001). No significant differences were found between groups for depressive episodes (risk difference [RD] 0.06, 95% CI -0.05 to 0.19), response to treatment (RD 0.03, 95% CI -0.10 to 0.15), and QALYs (mean difference 0.01, 95% CI -0.03 to 0.04). Mean societal costs for blended CBT were €1183 higher than standard CBT. This difference was not significant (95% CI -399 to 2765). Blended CBT had a probability of being cost-effective compared with standard CBT of 0.02 per extra QALY and 0.37 for an additional treatment response, at a ceiling ratio of €25,000. For health care providers, mean costs for blended CBT were €176 lower than standard CBT. This difference was not significant (95% CI -659 to 343). At €0 per additional unit of effect, the probability of blended CBT being cost-effective compared with standard CBT was 0.75. The probability increased to 0.88 at a ceiling ratio of €5000 for an added treatment response, and to 0.85 at €10,000 per QALY gained. For avoiding new depressive episodes, blended CBT was deemed not cost-effective compared with standard CBT because the increase in costs was associated with negative effects.

CONCLUSIONS

This pilot study shows that blended CBT might be a promising way to engage depressed patients in specialized mental health care. Compared with standard CBT, blended CBT was not considered cost-effective from a societal perspective but had an acceptable probability of being cost-effective from the health care provider perspective. Results should be carefully interpreted due to the small sample size. Further research in larger replication studies focused on optimizing the clinical effects of blended CBT and its budget impact is warranted.

TRIAL REGISTRATION

Netherlands Trial Register NTR4650; https://www.trialregister.nl/trial/4408.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12888-014-0290-z.