Efficacy of an online intervention for treatment of depressive disorders: a three-arm randomized controlled trial comparing guided and unguided self-help with waitlist control (Preprint)

Evaluation of the internet-based intervention "Selfapy" in participants with unipolar depression and the impact on quality of life: a randomized, parallel group study

PURPOSE

Depressive disorders cause a major burden of disease worldwide and often lead to a loss of social functioning. Patients suffering from depressive disorders report a lower quality of life (QOL) than people without a history of mental health issues. Internet-based interventions (IBIs) based on cognitive behavioral therapy (CBT) are effective in reducing symptom severity but data on their impact on quality of life in clinically depressed patients so far is scarce.

METHODS

Selfapy is a CBT-based IBI for depressive disorders. 401 participants (332 female, mean age 37 (SD = 11) with a diagnosis of major depressive disorder (MDD) or dysthymia were enrolled in a randomized, parallel, three-arm trial comparing a therapist-guided Selfapy intervention with an unguided Selfapy intervention and a waiting list control. QOL was measured using the WHOQOL-BREF at baseline, post-treatment (12 weeks) and at 24-week follow-up. The effects of the interventions on QOL were calculated using linear mixed effects models.

RESULTS

At post-treatment (12 weeks) the guided and unguided intervention groups reported an increase in QOL on physical and psychological health domains compared to controls (significant group*time interaction). The gain in QOL was maintained over the follow-up period only for psychological health. QOL decreased in the social relationships and environment domains over the course of treatment and during the follow-up treatment for all participants. There were no differences between the guided and the unguided intervention.

CONCLUSION

Selfapy proved to positively affect psychological and physical QOL in a sample of participants suffering from depressive disorders and can therefore be considered an effective and highly scalable therapeutic tool. The pattern of results might partly be attributable to effects of the COVID-19 pandemic and public health measures that coincided with the trial.

TRIAL REGISTRATION

German Clinical Trials Register (DRKS): DRKS00017191. Registered June 14th, 2019, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00017191 .

Nudges and Prompts Increase Engagement in Self-Guided Digital Health Treatment for Depression and Anxiety: Results From a 3-Arm Randomized Controlled Trial

BACKGROUND

Accessible and effective approaches to mental health treatment are important because of common barriers such as cost, stigma, and provider shortage. The effectiveness of self-guided treatment is well established, and its use has intensified because of the COVID-19 pandemic. Engagement remains important as dose-response relationships have been observed. Platforms such as Facebook (Meta Platform, Inc), LinkedIn (Microsoft Corp), and X Corp (formerly known as Twitter, Inc) use principles of behavioral economics to increase engagement. We hypothesized that similar concepts would increase engagement in self-guided digital health.

OBJECTIVE

This 3-arm randomized controlled trial aimed to test whether members of 2 digital self-health courses for anxiety and depression would engage with behavioral nudges and prompts. Our primary hypothesis was that members would click on 2 features: tips and a to-do checklist. Our secondary hypothesis was that members would prefer to engage with directive tips in arm 2 versus social proof and present bias tips in arm 3. Our tertiary hypothesis was that rotating tips and a to-do checklist would increase completion rates. The results of this study will form a baseline for future artificial intelligence-directed research.

METHODS

Overall, 13,224 new members registered between November 2021 and May 2022 for Evolution Health's self-guided treatment courses for anxiety and depression. The control arm featured a member home page without nudges or prompts. Arm 2 featured a home page with a tip-of-the-day section. Arm 3 featured a home page with a tip-of-the-day section and a to-do checklist. The research protocol for this study was published in JMIR Research Protocols on August 15, 2022.

RESULTS

Arm 3 had significantly younger members (F2,4564=40.97; P<.001) and significantly more female members (χ24=92.2; P<.001) than the other 2 arms. Control arm members (1788/13,224, 13.52%) completed an average of 1.5 course components. Arm 2 members (865/13,224, 6.54%) clicked on 5% of tips and completed an average of 1.8 course components. Arm 3 members (1914/13,224, 14.47%) clicked on 5% of tips, completed 2.7 of 8 to-do checklist items, and completed an average of 2.11 course components. Completion rates in arm 2 were greater than those in arm 1 (z score=3.37; P<.001), and completion rates in arm 3 were greater than those in arm 1 (z score=12.23; P<.001). Engagement in all 8 components in arm 3 was higher than that in arm 2 (z score=1.31; P<.001).

CONCLUSIONS

Members engaged with behavioral nudges and prompts. The results of this study may be important because efficacy is related to increased engagement. Due to its novel approach, the outcomes of this study should be interpreted with caution and used as a guideline for future research in this nascent field.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/37231.

[Efficacy of internet-based interventions for depression available in Germany-A systematic review and meta-analysis]

BACKGROUND

Internet-based interventions (IBIs) for the treatment of depression have been found to have positive effects in international meta-analyses; however, it is unclear whether these effects also extend to IBIs specifically available in Germany. The aim of this meta-analysis was to estimate the immediate effects and the long-term effects of IBIs available in Germany free of charge or available on prescription and covered by the public health insurances as so-called digital health applications (DiGAs) and to compare the efficacy of DiGAs and freely available IBIs.

METHOD

A systematic literature search and random-effects meta-analysis were performed (preregistration: INPLASY202250070). Randomized controlled trials (RCTs) of IBIs freely available in Germany or as DiGA in adults with elevated depressive symptoms were compared with active and inactive controls available at the time of the survey in May 2022.

RESULTS

A total of six interventions were identified: COGITO, deprexis, iFightDepression, moodgym, Novego, and Selfapy. The pooled effect size of a total of 28 studies with 13,413 participants corresponded to an effect of Cohen's d = 0.42, (95% confidence interval, CI: 0.31-0.54, I2 = 81%). The analysis of long-term effects showed a smaller effect size of d = 0.29, (95% CI: 0.21-0.37, I2 = 22%, N = 10). Subgroup analyses indicated a possible superiority of the three interventions listed in the DiGA directory (d = 0.56, 95% CI: 0.38-0.74, I2 = 83%, N = 15) compared to the three freely available IBIs (d = 0.24, 95% CI: 0.14-0.33, I2 = 44%, N = 13, p = 0.002).

CONCLUSION

The IBIs for depressive disorders available in Germany are effective and can therefore be used in the treatment of people with a depressive disorder; however, it is possible that not all interventions are equally effective.

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.

Improving mental well-being in psychocardiology-a feasibility trial for a non-blended web application as a brief metacognitive-based intervention in cardiovascular disease patients

Background

Many patients with cardiovascular disease also show a high comorbidity of mental disorders, especially such as anxiety and depression. This is, in turn, associated with a decrease in the quality of life. Psychocardiological treatment options are currently limited. Hence, there is a need for novel and accessible psychological help. Recently, we demonstrated that a brief face-to-face metacognitive therapy (MCT) based intervention is promising in treating anxiety and depression. Here, we aim to translate the face-to-face approach into digital application and explore the feasibility of this approach.

Methods

We translated a validated brief psychocardiological intervention into a novel non-blended web app. The data of 18 patients suffering from various cardiac conditions but without diagnosed mental illness were analyzed after using the web app over a two-week period in a feasibility trial. The aim was whether a non-blended web app based MCT approach is feasible in the group of cardiovascular patients with cardiovascular disease.

Results

Overall, patients were able to use the web app and rated it as satisfactory and beneficial. In addition, there was first indication that using the app improved the cardiac patients' subjectively perceived health and reduced their anxiety. Therefore, the approach seems feasible for a future randomized controlled trial.

Conclusion

Applying a metacognitive-based brief intervention via a non-blended web app seems to show good acceptance and feasibility in a small target group of patients with CVD. Future studies should further develop, improve and validate digital psychotherapy approaches, especially in patient groups with a lack of access to standard psychotherapeutic care.

Therapists' experiences with providing guided internet-delivered cognitive behavioral therapy for patients with mild and moderate depression: a thematic analysis

Introduction

Guided internet-delivered therapy has shown promising results for patients with mild and moderate depressive disorder, but several challenges with the format have been reported. The aim of this qualitative study was to investigate therapists' experiences providing guided internet-delivered cognitive behavioral therapy for patients with mild and moderate depression.

Material and methods

Twelve therapists were interviewed, and the interviews were analyzed using reflexive thematic analysis.

Results and conclusion

Three themes were created: (1) For the right person, at the right time. This theme is about therapists' experiences appointing patients to the program. It is challenging to predict which patients will benefit from it, and it is not the right option for all patients. (2) It is not like chatting on Facebook. The second theme was about the experiences with demands on clinics, therapists and patients that must be considered. The internet-delivered treatment should not be viewed as a simple treatment option, and the value of having contact with the patients during treatment was emphasized. (3) It is like a railroad, but without the switches. This theme was about the experiences with how the treatment content was conveyed to the patients, how the therapists expressed concerns with the usability of the program and the reported need for more possibilities in tailoring treatment for each patient.

The effect of video visitation on intensive care unit patients and family members outcomes during the COVID-19 pandemic: A randomised controlled trial

OBJECTIVE

To investigate the effect of video visitation on intensive care patients' and family members' outcomes during the COVID-19 pandemic.

DESIGN

This is a randomised controlled trial.

SETTING

An adult intensive care unit in a tertiary hospital in Beijing, China.

METHODS

A total of 121 adults, who were >18 years of age, conscious, able to communicate verbally, and admitted to the intensive care unit for over 24 hours were randomised into the intervention (video visitation) (n = 65) and control (n = 56) Groups. A total of 98 family members participated. Patient primary outcomes included anxiety and depression, measured using the Hospital Anxiety and Depression Scale. Secondary outcomes included patient delirium and family anxiety assessed using the Confusion Assessment Method scale and Self-Rating Anxiety Scale, respectively; and patient and family satisfaction, measured using a questionnaire routinely used in the hospital.

RESULTS

There were no statistically significant differences between the groups in patients' anxiety (t = 1.328, p = 0.187) and depression scores (t = 1.569, p = 0.119); and no statistically significant differences in delirium incidence between the groups (7.7 % vs 7.1 %, p > 0.05). There were no significant differences in changes in family members' anxiety scores (t = 0.496, p = 0.621). A statistically significant difference in satisfaction was found between the two group patients (86.1 % vs 57.2 % of patients were satisfied with using video visitation, p < 0.05), and the result of family members' satisfaction was also statistically significant (88 % vs 62.5 % of family members were satisfied with using video visitation, p < 0.05).

CONCLUSION

Video visitation did not seem to influence anxiety, but the use of video visitation can improve the patient and their family members' satisfaction. Future research is needed to determine the feasibility of embedding video visitation into routine practice, and the optimal frequency and length of video visitation in relation to patients' and family members' outcomes.

IMPLICATIONS FOR CLINICAL PRACTICE

Video visitation improved patient and family members' satisfaction. Therefore, clinicians should consider using video visitation when face to face visit is restricted. Video visVitation did not reduce patient anxiety significantly in this study maybe because the average length of intensive care stay was too short. Future research is needed on its effect on long term intensive care patients.

Guided Internet-Delivered Treatment for Depression: Scoping Review

BACKGROUND

Studies on guided internet-delivered treatment have demonstrated promising results for patients with depressive disorder.

OBJECTIVE

The aim of this study was to provide an overview of this research area and identify potential gaps in the research.

METHODS

In this scoping review, web-based databases were used to identify research papers published between 2010 and 2022 where guided internet-delivered treatment was administered to participants with depressive disorders, a standardized rating scale of depressive symptoms was used as the primary outcome measure, and the treatment was compared with a control condition.

RESULTS

A total of 111 studies were included, and an overview of the studies was provided. Several gaps in the research were identified regarding the design of the studies, treatments delivered, participant representation, and treatment completion.

CONCLUSIONS

This review provides a comprehensive overview of the research area, and several research gaps were identified. The use of other designs and active control conditions is recommended. Future studies should provide access to treatment manuals, and more replications should be conducted. Researchers should aim to include underrepresented populations and provide reports of comorbidities. Definitions of adequate dosage, reports of completion rates, and reasons for treatment dropout are recommended for future studies.

Testing Behavioral Nudges and Prompts in Digital Courses for Self-Guided Treatment of Depression and Anxiety, Protocol for 3-Arm Randomized Controlled Trial (Preprint)

Background

Despite showing strong evidence of positive outcomes, a common problem in the field of digital health is poor engagement and adherence. Non–health care, for-profit digital ventures, such as Facebook, LinkedIn, and Twitter, conduct behavioral experiments to increase user engagement. To our knowledge, digital health organizations have not published similar types of experiments in ad libitum environments, and there are limited published data indicating whether nudges and prompts can be leveraged to increase engagement with digital health interventions.

Objective

The main objective of our 3-arm randomized controlled trial is to test whether registered members in two well-established digital health courses for anxiety and depression will engage with four different types of nudges and prompts, and whether engaging with nudges and prompts increases engagement within the courses.

Methods

New members who register for the self-guided anxiety and depression courses on the Evolution Health platform will be randomized into 1 of 3 arms. The first control arm will feature a member home page without any behavioral nudges or prompts. The second arm will feature a member home page with a Tip-of-the-Day section containing directive content. Arm 3 will feature a member home page with a Tip-of-the-Day section containing social proof and present bias content. The third arm will also feature a to-do item checklist.

Results

The experiment was designed in August 2021 and was launched in November 2021. Initially, we will measure engagement with the tips and the to-do checklist by calculating the frequency of use by age and gender. If members do engage, we will then, according to age and gender, examine whether nudges and prompts result in higher course completion rates and whether specific types of prompts and nudges are more popular than others.

Conclusions

Our 3-arm randomized controlled trial will be the first to compare four distinct types of behavioral prompts and nudges in two self-guided digital health courses that were designed to treat mental health issues. We expect the results to generate insights into which types of behavioral prompts and nudges work best in the population. If they are shown to increase engagement, the insights will then be used to apply prompts and nudges to the platform’s addiction-focused courses. Based on the results of the experiment, the insights will be applied to using artificial intelligence to train the platform to recognize different usage patterns and provide specific engagement recommendations to stratified users.

International Registered Report Identifier (IRRID)

DERR1-10.2196/37231