The Therapeutic Alliance in Digital Mental Health Interventions for Serious Mental Illnesses: Narrative Review

The role of human involvement and support in digital mental health interventions for people with schizophrenia spectrum disorders: a critical review

PURPOSE OF REVIEW

Schizophrenia spectrum disorders (SDD) are characterized by a complex array of psychosis symptoms, and typically require ongoing and long-term support, including pharmacological and nonpharmacological management. Digital mental health interventions (DMHIs) have been suggested as a novel therapeutic approach to enable low-cost, scalable improvements in quality of care for adults living with SSD. However, the types and role of human involvement and support within DMHIs is currently unknown.

RECENT FINDINGS

Several recent systematic reviews and meta-analyses have investigated the potential efficacy of DMHIs for people with SSD, with scant yet emerging systematic evidence on the effects of human support within DMHIs on mental health outcomes. Further, several recent individual studies examined the efficacy of DMHIs with human support among people with SSD and provided valuable insights into the potential key elements of such support on outcomes relevant to this population.

SUMMARY

The current critical review provides the first narrative synthesis of available evidence to guide clinicians and intervention develops in designing DMHIs with adequate human support that may enhance long-term outcomes of people living with SSD.

How to engage patients in computerized cognitive training: a cognitive rehabilitation expert's perspective

PURPOSE

The relationship between a patient and their therapist plays a crucial role in patient engagement. While Computerized Cognitive Training (CCT) may assist in preserving cognitive skills in cases of aging, dementia or acquired brain injuries, its effectiveness has not been definitively proven. Improving user engagement, acceptance, and software usability could aid in addressing this issue. The present study aims to identify potential obstacles and facilitators by examining the perspectives of rehabilitation professionals on the current usage of CCT software.

METHODS

Semi-structured interviews were conducted with 16 rehabilitation professionals, familiar with a CCT software. The data were transcribed and followed by an independent iterative thematic analysis.

RESULTS

Two major themes were identified: (1) facilitating factors and (2) difficulties related to use. The main obstacles were difficulties related to the computerized nature of the exercises, technology use, understanding the software and general learning difficulties. The main facilitators were the ecological and novel nature of the exercises, and the adaptability of the difficulty levels.

CONCLUSION

The complexity of the CCT presents challenges for its usage by rehabilitation professionals, which in turn can impede patient utilization as well. To address this issue and promote sustainable use of the software, providing instruction delivery to facilitate learning and understanding of the CCT is essential. Additionally, creating a standardized foundation that therapists can refer to for guidance may also aid in optimizing the software's usage. It is recommended to utilize a model for CCT acceptability and acceptance in developing these solutions to enhance patient engagement.

An Artificial Intelligence-Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial

BACKGROUND

Self-management is endorsed in clinical practice guidelines for the care of musculoskeletal pain. In a randomized clinical trial, we tested the effectiveness of an artificial intelligence-based self-management app (selfBACK) as an adjunct to usual care for patients with low back and neck pain referred to specialist care.

OBJECTIVE

This study is a process evaluation aiming to explore patients' engagement and experiences with the selfBACK app and specialist health care practitioners' views on adopting digital self-management tools in their clinical practice.

METHODS

App usage analytics in the first 12 weeks were used to explore patients' engagement with the SELFBACK app. Among the 99 patients allocated to the SELFBACK interventions, a purposive sample of 11 patients (aged 27-75 years, 8 female) was selected for semistructured individual interviews based on app usage. Two focus group interviews were conducted with specialist health care practitioners (n=9). Interviews were analyzed using thematic analysis.

RESULTS

Nearly one-third of patients never accessed the app, and one-third were low users. Three themes were identified from interviews with patients and health care practitioners: (1) overall impression of the app, where patients discussed the interface and content of the app, reported on usability issues, and described their app usage; (2) perceived value of the app, where patients and health care practitioners described the primary value of the app and its potential to supplement usual care; and (3) suggestions for future use, where patients and health care practitioners addressed aspects they believed would determine acceptance.

CONCLUSIONS

Although the app's uptake was relatively low, both patients and health care practitioners had a positive opinion about adopting an app-based self-management intervention for low back and neck pain as an add-on to usual care. Both described that the app could reassure patients by providing trustworthy information, thus empowering them to take actions on their own. Factors influencing app acceptance and engagement, such as content relevance, tailoring, trust, and usability properties, were identified.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04463043; https://clinicaltrials.gov/study/NCT04463043.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

TRIAL REGISTRATION

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

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

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

Effects of a Serious Game for Adolescent Mental Health on Cognitive Vulnerability: Pilot Usability Study

Background

Adolescent mental health is of utmost importance. E-mental health interventions, and serious games in particular, are appealing to adolescents and can have beneficial effects on their mental health. A serious game aimed at improving cognitive vulnerability (ie, beliefs or attitudes), which can predispose an individual to mental health problems, can contribute to the prevention of these problems in adolescents.

Objective

This study aimed to assess the feasibility of the prototype of a serious game called "Silver."

Methods

The prototype of the serious game was developed using a user-centered participatory design. The prototype of Silver focused on 1 aspect of a serious game for improving cognitive vulnerability in adolescents, that is, the recognition and identification of cognitive distortions. Through the game, players were required to identify and classify the character's thoughts as helpful or unhelpful. Upon successful advancement to the next level, the task becomes more challenging, as players must also identify specific types of cognitive distortions. A pre- and posttest uncontrolled design was used to evaluate the game, with a 1-week intervention phase in which participants were asked to play the game. Participants aged 12-16 years were recruited in schools. The outcomes of interest were the recognition of cognitive distortions and presence of participants' cognitive distortions. The game was also evaluated on its effects, content, and usefulness.

Results

A total of 630 adolescents played Silver and completed the assessments. Adolescents were significantly better at recognizing cognitive distortions at the pretest (mean 13.09, SD 4.08) compared to the posttest (mean 13.82, SD 5.09; t629=-4.00, P<.001). Furthermore, their cognitive distortions decreased significantly at the posttest (mean 38.73, SD 12.79) compared to the pretest (mean 41.43, SD 10.90; t629=7.98, P<.001). Participants also indicated that the game helped them recognize cognitive distortions. Many participants considered the game appealing (294/610, 48.2%) but boring (317/610, 52%) and preferred a more comprehensive game (299/610, 49%).

Conclusions

Findings from this study suggest that a serious game may be an effective tool for improving cognitive vulnerability in adolescents. The development of such a serious game, based on the prototype, is recommended. It may be an important and innovative tool for the universal prevention of mental health problems in adolescents. Future research on the effects of the game is warranted.

From Consensus Statement to Pills to Pixels: New Innovations in Attention-Deficit/Hyperactivity Disorder Care

Objectives: This review aims to present recent innovations and advancements in attention-deficit/hyperactivity disorder (ADHD) care, encompassing international consensus statement, new medication formulations, digital therapeutics, and neurostimulation devices. Methods: A comprehensive literature search of relevant articles published in the past five years was conducted, emphasizing the evidence base, efficacy, safety, and practical implications of these advancements. Results: The World Federation of ADHD Consensus Statement offers an updated diagnostic and treatment framework rooted in global scientific evidence. There are several newer ADHD medication formulations, including a nonstimulant (Viloxazine extended release) and the first transdermal amphetamine patch approved to treat ADHD. These options offer some unique benefits to personalize treatment based on symptom profile, lifestyle, preferences, and response. Digital tools offer additional means to restructure environments for individuals with ADHD, reducing impairment and reliance on others. In addition, digital therapeutics enhance access, affordability, personalization, and feasibility of ADHD care, complementing or augmenting existing interventions. Trigeminal nerve stimulation emerges as a well-tolerated nonpharmacological, device-based treatment for pediatric ADHD, with initial trials indicating effect sizes comparable to nonstimulant medications. Conclusions: These innovations in ADHD care represent clinically significant new treatment options and opportunities for personalized care. Health care professionals should integrate these developments into clinical practice, mindful of individual patient and family needs and preferences. Future research should assess long-term outcomes, cost-effectiveness, and acceptability of these innovations.

Effects of Serious Games in Older Adults With Mild Cognitive Impairment

OBJECTIVE

The rising prevalence of mild cognitive impairment (MCI) has spurred interest in innovative cognitive rehabilitation approaches, including serious games. This review summarizes randomized clinical trials (RCTs) exploring the impact of serious games on MCI patients.

METHODS

We conducted a comprehensive data search using key terms such as "gamification," "digital therapy," "cognition," "mild cognitive impairment," and "Alzheimer's disease." We exclusively considered published RCTs, excluding animal studies and basic research.

RESULTS

We identified eight RCTs. Four RCTs examined the effects of serious games using cognitive training for MCI patients. Notably, one study found that non-specific training (Nintendo Wii) significantly enhanced cognitive function and quality of life compared to cognition-specific computer training (CoTras). Among the remaining three RCTs, one specifically demonstrated that personalized serious game-based cognitive training yielded superior cognitive outcomes and reduced depressive symptoms. One RCT focused on serious games incorporating physical exercise, highlighting the effectiveness of kinetic-based exergaming in enhancing overall cognition. Three RCT focused on combined cognitive training and physical exercise. A double-blind RCT revealed that progressive resistance training or standalone physical exercise outperformed the combined approach in improving executive function and global cognition. Two additional RCTs reported positive outcomes, including improvements in cognitive function and electroencephalogram patterns associated with game-based interventions.

CONCLUSION

Serious games, whether focusing on cognitive training, physical exercise, or a combination of both, have potential to improve cognitive and functional outcomes in individuals with MCI. Further research and standardization of protocols are needed to better understand the full potential of serious games in MCI.

Perspective of patients with first-episode psychosis, their relatives, and mental health professionals on the design and usability of an app in clinical practice

AIM

Therapeutic non-compliance remains the main difficulty for people with psychotic disorders, standing around 50% in people with schizophrenia. Lack of treatment adherence, either partial or total, to medication has economic and clinical consequences. E-health technologies may be a promising therapeutic tool to improve adherence, with the subsequent reduction in clinical and economic burden. Our aims were to know the preferences on how technologies in mental health treatment should be for use in clinical practice, and to learn about the opinion and preferences on the use of technologies in mental health treatment from the perspectives of patients with FEP, their relatives, and mental health professionals.

METHODS

Forty-one patients with a diagnosis of first-episode psychosis (FEP), 18 relatives and 49 mental health professionals were included in the study. They completed an online survey related to the use, availability and user-skill of online platforms and apps created by a group of experts in psychosis and in the use of technologies. Data were summarized in frequencies, percentages, and means, and Chi-square tests were used to calculate differences between-groups.

RESULTS

An app directed to people with psychosis would be well received by users if it contains psychoeducational material, offers reminders for scheduled visits and treatment and allows online consultations.

CONCLUSIONS

Co-creating an app with users, their families and mental health professionals allows incorporating their preferences to increase its use, improve outpatient care and creating an app that is viable in clinical practice.

Digital psychiatry in Nigeria: A scoping review

Background

Mental healthcare workforce shortage in Nigeria poses a major obstacle to mental health services scale-up. Digital psychiatry may provide a veritable platform to bridge treatment gaps.

Aim

To provide an overview of quantity and range of peer-reviewed publications on digital psychiatry in Nigeria.

Setting

A comprehensive literature search encompassed all original, peer-reviewed research articles on digital psychiatry in Nigeria. PubMed, Google Scholar, and a direct exploration of relevant journal article reference lists were utilised. Inclusion criteria covered peer-reviewed original articles conducted in Nigeria between January 2013 and January 2023, regardless of quality. Exclusions comprised case reports, reviews, dissertations, and abstracts.

Methods

Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines were adhered to, while methodological framework of Arksey and O'Malley was used to describe the review.

Results

Fourteen studies meeting inclusion criteria exhibited two primary research areas: implementation and intervention. Most studies focused on intervention strategies, showcasing efficacy of digital devices in enhancing outcomes in depression and clinic appointments. Implementation studies indicated favorable acceptance by both clients and healthcare practitioners.

Conclusion

Digital technology seems acceptable to Nigerian patients and clinicians. Policies to operationalise provision of digital healthcare services will have positive impact in addressing unmet mental health needs. Finally, the quality of the evidence from majority of studies has to be enhanced, and additional studies are required to uncover gaps in some regions of the country.

Contribution

This research demonstrates that, despite some drawbacks, digital methods of providing mental healthcare are practical in Nigeria.

Using off-the-shelf solutions as assistive technology to support the self-management of academic tasks for autistic university students

Having the skills to self-manage the demands of academic life in third-level education is critical to the successful completion of courses taken there. Independent study behavior is an aspect of university life that pervades all topics but one that requires the self-management of time in relation to study goals. Individuals with additional educational needs, such as autism, often have difficulty self-managing independent study. This may result in students failing to meet the standards required for successful course completion. The current study (n = 2) used a range bound changing criterion design to evaluate the effects of a behavioral intervention that included assistive technology in the form of a smartphone and wearable smartwatch. The intervention aimed to increase the duration of independent study behavior among university students with autism. The intervention combined self-management (goal setting, self-monitoring, self-recording) together with assistive tech. to prompt engagement in, and recording of, independent study behavior. Findings showed the intervention to be effective at increasing independent study duration for autistic adults attending third-level education.

The meaning that people with severe mental illnesses ascribe to e-health in encounters with healthcare professionals - A repeat interview study

This study sought to explore the meaning that people with severe mental illnesses attribute to e-health solutions regarding user involvement and encounters with healthcare professionals. A qualitative design with a social phenomenological approach was applied, and data were collected via repeat interviews. Using a purposive sampling strategy, eight people with severe mental illness were interviewed two times between August 2021 to May 2022, at three different treatment sites in southern Denmark. To be included, participants needed to be 18-65 years of age, diagnosed with severe mental illness (schizophrenia, bipolar disorder, or depression), and using an e-health solution in collaboration with a health professional. The interviews lasted between 20 and 70 min and were audio recorded and then transcribed. The data were analysed with Braun and Clarke's 6-step thematic analysis. Participants experienced the use of an e-health solution as helpful for structuring their everyday lives, and e-health used together with healthcare professionals was considered to have a positive impact on the collaboration. The participants experienced feeling involved and in control when e-health solutions were used, which engaged them in their treatment. Furthermore, the participants found it important to have had some in-person meetings with healthcare professionals to build trust before the e-health solutions could be implemented successfully. E-health solutions used in collaboration with a trusted healthcare professional whom the participants had met in person tended to affect treatment engagement positively.

Understanding Public Perceptions of Virtual Reality Psychological Therapy Using the Attitudes Towards Virtual Reality Therapy (AVRT) Scale: Mixed Methods Development Study

BACKGROUND

Virtual reality (VR) psychological therapy has the potential to increase access to evidence-based mental health interventions by automating their delivery while maintaining outcomes. However, it is unclear whether these more automated therapies are acceptable to potential users of mental health services.

OBJECTIVE

The main aim of this study was to develop a new, validated questionnaire to measure public perceptions of VR therapy (VRT) guided by a virtual coach. We also aimed to explore these perceptions in depth and test how aspects such as familiarity with VR and mental health are associated with these perceptions, using both quantitative and qualitative approaches.

METHODS

We used a cross-sectional mixed methods design and conducted an exploratory factor analysis of a questionnaire that we developed, the Attitudes Towards Virtual Reality Therapy (AVRT) Scale, and a qualitative content analysis of the data collected through free-text responses during completion of the questionnaire.

RESULTS

We received 295 responses and identified 4 factors within the AVRT Scale, including attitudes toward VRT, expectation of presence, preference for VRT, and cost-effectiveness. We found that being more familiar with VR was correlated with more positive attitudes toward VRT (factor 1), a higher expectation of presence (factor 2), a preference for VRT over face-to-face therapy (factor 3), and a belief that VRT is cost-effective (factor 4). Qualitative data supported the factors we identified and indicated that VRT is acceptable when delivered at home and guided by a virtual coach.

CONCLUSIONS

This study is the first to validate a scale to explore attitudes toward VRT guided by a virtual coach. Our findings indicate that people are willing to try VRT, particularly because it offers increased access and choice, and that as VR becomes ubiquitous, they will also have positive attitudes toward VRT. Future research should further validate the AVRT Scale.

What digital health technology types are used in mental health prevention and intervention? Review of systematic reviews for systematization of technologies

Digital health technology has been widely applied to mental health interventions worldwide. Using digital phenotyping to identify an individual's mental health status has become particularly important. However, many technologies other than digital phenotyping are expected to become more prevalent in the future. The systematization of these technologies is necessary to accurately identify trends in mental health interventions. However, no consensus on the technical classification of digital health technologies for mental health interventions has emerged. Thus, we conducted a review of systematic review articles on the application of digital health technologies in mental health while attempting to systematize the technology using the Delphi method. To identify technologies used in digital phenotyping and other digital technologies, we included 4 systematic review articles that met the inclusion criteria, and an additional 8 review articles, using a snowballing approach, were incorporated into the comprehensive review. Based on the review results, experts from various disciplines participated in the Delphi process and agreed on the following 11 technical categories for mental health interventions: heart rate estimation, exercise or physical activity, sleep estimation, contactless heart rate/pulse wave estimation, voice and emotion analysis, self-care/cognitive behavioral therapy/mindfulness, dietary management, psychological safety, communication robots, avatar/metaverse devices, and brain wave devices. The categories we defined intentionally included technologies that are expected to become widely used in the future. Therefore, we believe these 11 categories are socially implementable and useful for mental health interventions.

An exploration of patient experiences of transitioning to a remote day programme following inpatient treatment in an adult eating disorder service

WHAT IS KNOWN ON THE SUBJECT?: Traditionally, treatment for eating disorders (EDs) has been provided on an inpatient or outpatient basis, but more recently other levels of treatment provision to include, day care (DC) and community outreach programmes, have been developed. There is limited research exploring the experience of patients who have transitioned from inpatient ED treatment to a remote DC treatment. This lack of knowledge can impact mental health nurses' understanding of what that experience is like for patients and hence may influence the efficacy of collaboration and inclusion between patients and nurses. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: This research addresses this dearth of knowledge and adds to our understanding of patients' experiences of attending a remote DC programme following a period of inpatient treatment for an ED. This is an important study for nurses and other mental health professionals working with people in ED treatment, as it highlights the specific challenges and anxieties of transitioning from inpatient to a remote DC programme and the individualized supports advisable during this process. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: This research provides a basis on which nurses can understand and address the challenges experienced by patients after transitioning to a less intensive supportive ED programme. The understanding of these experiences will enhance the therapeutic alliance between the nurse and patient, which will in turn support the patient in increasing agency as they progress through their recovery. This research provides a foundation on which to develop specific supports that need to be in place to help patients manage the anxieties they experience as they transition to a less intense and remote treatment. Findings from these lived experiences can be used to support the development of similar DC programmes for EDs in other settings.

ABSTRACT

INTRODUCTION: Day care (DC) treatment for people with an eating disorder (ED) provides for an easier transition from hospital to home, along with a treatment milieu where patients can maintain occupational and social functioning and allow for the transfer of newly acquired skills to everyday life.

AIM

To explore patients' experiences of attending a remote day programme following intense inpatient treatment in an adult ED service.

METHOD

A qualitative descriptive methodology informed the study. In-depth semi-structured interviews were conducted with 10 consenting patients. A thematic analysis framework was used to guide the process of data analysis.

RESULTS

Three themes reflected participants' experiences: 'Moving On: Preparing for Change', 'Navigating a New Support System' and 'Increasing Agency'.

DISCUSSION

An underlying issue for participants was an ongoing but changing experience of anxiety. While anticipatory anxiety is evident in preparing for discharge, this is replaced with a real-time anxiety as they endeavour to negotiate an effective support network.

IMPLICATIONS FOR PRACTICE

The findings from this study provide a basis on which mental health nurses can develop timely and effective treatment and support systems with patients who are transitioning from a high support inpatient ED programme to a less intensive ED remote DC programme.

Therapeutic games to reduce anxiety and depression in young people: A systematic review and exploratory meta-analysis of their use and effectiveness

OBJECTIVE

The development of serious games for mental wellbeing is a topic of growing interest. The increase in acceptance of games as a mainstream entertainment medium combined with the immersive qualities of games provides opportunities for meaningful support and intervention in mental wellbeing.

METHOD

We conducted a systematic review and exploratory meta-analysis to examine if aspects of the interventions influenced outcomes as measured via overall effect sizes. We employed a multilevel meta-analytic approach to accommodate the interdependency of effect sizes (18 effect sizes from 14 studies, with 2027 participants).

RESULTS

Overall, the main effect for gaming interventions on any outcome variable was small to medium sized, d = .35 (confidence interval [.23, 47], p < .001). Results revealed that the only significant moderator was the nature of the intervention. Specifically, only interventions that included a rational emotional behavioural focus significantly predicted an improvement in depression and/or anxiety in participants.

CONCLUSION

The findings reveal promising effects for therapeutic games for mental health, but replications are needed, alongside the addressing of methodological and procedural concerns.

Self-Guided Digital Intervention for Depression in Adolescents: Feasibility and Preliminary Efficacy Study

BACKGROUND

Depression in adolescents is a large and growing problem; however, access to effective mental health care continues to be a challenge. Digitally based interventions may serve to bridge this access gap for adolescents in need of care. Digital interventions that deliver components of cognitive behavioral therapy (CBT) have been shown to reduce symptoms of depression, and virtual reality (VR) may be a promising adjunctive component. However, research on these types of treatments in adolescents and young adults is limited.

OBJECTIVE

This study aims to evaluate the feasibility, acceptability, and preliminary efficacy of Spark (v1.0), a 5-week, self-guided, CBT-based digital program using a mobile app and VR experiences to target symptoms of depression in adolescents.

METHODS

A single-arm, open-label study of the Spark program was conducted with a community sample of 30 adolescents and young adults aged 12 to 21 years with self-reported moderate to severe depression symptoms. Participants completed a weekly depression assessment (Patient Health Questionnaire-8) in the app during the 5-week intervention period as well as web-based baseline, postintervention, and 1-month follow-up self-report assessments. The participants also completed a qualitative postintervention interview. For participants aged <18 years, caregivers completed assessments at baseline and postintervention time points. Feasibility outcomes included recruitment rate (the proportion of participants who enrolled in the study divided by the total number of participants screened for eligibility) and retention rate (the proportion of participants who completed postintervention assessments divided by the total number of participants who received the intervention). Acceptability outcomes included engagement with the program and quantitative and qualitative feedback about the program. Preliminary efficacy was evaluated based on the Patient Health Questionnaire-8.

RESULTS

The study recruitment (31/66, 47%) and retention (29/30, 97%) rates were high. Participants provided higher ratings for the ease of use of the Spark program (8.76 out of 10) and their enjoyment of both the mobile app (7.00 out of 10) and VR components (7.48 out of 10) of the program, whereas they provided lower ratings for the program's ability to improve mood (4.38 out of 10) or fit into their daily routines (5.69 out of 10). We observed a clinically and statistically significant reduction in depression scores at postintervention (mean difference 5.36; P<.001) and 1-month follow-up (mean difference 6.44; P<.001) time points.

CONCLUSIONS

The Spark program was found to be a feasible and acceptable way to deliver a self-guided CBT-focused intervention to adolescents and young adults with symptoms of depression. Preliminary data also indicated that the Spark program reduced the symptoms of depression in adolescents and young adults. Future studies should evaluate the efficacy of this intervention in an adequately powered randomized controlled trial.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04165681; https://classic.clinicaltrials.gov/ct2/show/NCT04165681.

German Version of the Mobile Agnew Relationship Measure: Translation and Validation Study

BACKGROUND

The mobile Agnew Relationship Measure (mARM) is a self-report questionnaire for the evaluation of digital mental health interventions and their interactions with users. With the global increase in digital mental health intervention research, translated measures are required to conduct research with local populations.

OBJECTIVE

The aim of this study was to translate and validate the original English version of the mARM into a German version (mARM-G).

METHODS

A total of 2 native German speakers who spoke English as their second language conducted forward translation of the original items. This version was then back translated by 2 native German speakers with a fluent knowledge of English. An independent bilingual reviewer then compared these drafts and created a final German version. The mARM-G was validated by 15 experts in the field of mobile app development and 15 nonexperts for content validity and face validity; 144 participants were recruited to conduct reliability testing as well as confirmatory factor analysis.

RESULTS

The content validity index of the mARM-G was 0.90 (expert ratings) and 0.79 (nonexperts). The face validity index was 0.89 (experts) and 0.86 (nonexperts). Internal consistency for the entire scale was Cronbach α=.91. Confirmatory factor analysis results were as follows: the chi-square statistic to df ratio was 1.66. Comparative Fit Index was 0.87 and the Tucker-Lewis Index was 0.86. The root mean square error of approximation was 0.07.

CONCLUSIONS

The mARM-G is a valid and reliable tool that can be used for future studies in German-speaking countries.

Exploring user experiences of a text message-delivered intervention among individuals on opioid use disorder treatment in Kenya: A qualitative study

Opioid use disorder causes significant burden of disease and treatment comprises pharmacotherapy and psychosocial treatment. Cognitive behavioral therapy is an effective psychosocial intervention used in substance use disorders treatment and can be delivered using digital approach. There is limited use of digital treatment among individuals with opioid use disorder in Kenya. This study aimed to describe the experiences and feedback from participants with opioid use disorder enrolled in a text-message intervention in Kenya. Qualitative data was collected from participants in the intervention arm of a feasibility trial testing a text-message intervention based on cognitive behavioral therapy. Data was collected using open-ended questions in a questionnaire and structured in-depth interviews amongst those who received the intervention. Framework method was applied for analysis. Twenty-four participants (83.3% males) were enrolled with a mean age of 32.5 years (SD9.5). Five themes were identified namely: (1) Gain of cognitive behavioral therapy skills which included: identification and change of substance use patterns; drug refusal skills; coping with craving and self-efficacy; (2) Therapeutic alliance which included: development of a bond and agreement on treatment goals; (3) Feedback on intervention components and delivery such as: frequency, and duration of the text message intervention; (4) Challenges experienced during the intervention such as: technical problems with phones; and barriers related to intervention delivery; (5) Recommendations for improvement of intervention in future implementations. The findings demonstrated participants' satisfaction with intervention, gain of skills to change substance use patterns, highlighted challenges experienced and suggestions on improving the intervention among individuals with opioid use disorder. The feedback and recommendations provided by the participants can guide implementation of such interventions to allow acceptability, effectiveness and sustainability. Trial registration: This study was part of a randomized feasibility trial. Clinical trial registration: Pan African Clinical Trial Registry: Registration number: PACTR202201736072847. Date of registration: 10th January 2022.

The now and future of ChatGPT and GPT in psychiatry

ChatGPT has sparked extensive discussions within the healthcare community since its November 2022 release. However, potential applications in the field of psychiatry have received limited attention. Deep learning has proven beneficial to psychiatry, and GPT is a powerful deep learning-based language model with immense potential for this field. Despite the convenience of ChatGPT, this advanced chatbot currently has limited practical applications in psychiatry. It may be used to support psychiatrists in routine tasks such as completing medical records, facilitating communications between clinicians and with patients, polishing academic writings and presentations, and programming and performing analyses for research. The current training and application of ChatGPT require using appropriate prompts to maximize appropriate outputs and minimize deleterious inaccuracies and phantom errors. Moreover, future GPT advances that incorporate empathy, emotion recognition, personality assessment, and detection of mental health warning signs are essential for its effective integration into psychiatric care. In the near future, developing a fully-automated psychotherapy system trained for expert communication (such as psychotherapy verbatim) is conceivable by building on foundational GPT technology. This dream system should integrate practical 'real world' inputs and friendly AI user and patient interfaces via clinically validated algorithms, voice comprehension/generation modules, and emotion discrimination algorithms based on facial expressions and physiological inputs from wearable devices. In addition to the technology challenges, we believe it is critical to establish generally accepted ethical standards for applying ChatGPT-related tools in all mental healthcare environments, including telemedicine and academic/training settings.

Harnessing Artificial Intelligence: Strategies for Mental Health Nurses in Optimizing Psychiatric Patient Care

This narrative review explores the transformative impact of Artificial Intelligence (AI) on mental health nursing, particularly in enhancing psychiatric patient care. AI technologies present new strategies for early detection, risk assessment, and improving treatment adherence in mental health. They also facilitate remote patient monitoring, bridge geographical gaps, and support clinical decision-making. The evolution of virtual mental health assistants and AI-enhanced therapeutic interventions are also discussed. These technological advancements reshape the nurse-patient interactions while ensuring personalized, efficient, and high-quality care. The review also addresses AI's ethical and responsible use in mental health nursing, emphasizing patient privacy, data security, and the balance between human interaction and AI tools. As AI applications in mental health care continue to evolve, this review encourages continued innovation while advocating for responsible implementation, thereby optimally leveraging the potential of AI in mental health nursing.

Who benefits from guided internet-based interventions? A systematic review of predictors and moderators of treatment outcome

To our knowledge, no systematic review has been conducted on predictors or moderators of treatment outcome across diagnoses in guided internet-based interventions (IBIs) for adults. To identify who benefits from this specific format and therein inform future research on improving patient-treatment fit, we aimed to aggregate results of relevant studies. 2100 articles, identified by searching the databases PsycInfo, Ovid Medline, and Pubmed and through snowballing, were screened in April/May 2021 and October 2022. Risk of bias and intra- and interrater reliability were assessed. Variables were grouped by predictor category, then synthesized using vote counting based on direction of effect. N = 60 articles were included in the review. Grouping resulted in 88 predictors/moderators, of which adherence, baseline symptoms, education, age, and gender were most frequently assessed. Better adherence, treatment credibility, and working alliance emerged as conclusive predictors/moderators for better outcome, whereas higher baseline scores predicted more reliable change but higher post-treatment symptoms. Results of all other predictors/moderators were inconclusive or lacked data. Our review highlights that it is currently difficult to predict, across diagnoses, who will benefit from guided IBIs. Further rigorous research is needed to identify predictors and moderators based on a sufficient number of studies. PROSPERO registration: CRD42021242305.

Digital Therapeutics as a New Therapeutic Modality: A Review from the Perspective of Clinical Pharmacology

The promise of transforming digital technologies into treatments is what drives the development of digital therapeutics (DTx), generally known as software applications embedded within accessible technologies-such as smartphones-to treat, manage, or prevent a pathological condition. Whereas DTx solutions that successfully demonstrate effectiveness and safety could drastically improve the life of patients in multiple therapeutic areas, there is a general consensus that generating therapeutic evidence for DTx presents challenges and open questions. We believe there are three main areas where the application of clinical pharmacology principles from the drug development field could benefit DTx development: the characterization of the mechanism of action, the optimization of the intervention, and, finally, its dosing. We reviewed DTx studies to explore how the field is approaching these topics and to better characterize the challenges associated with them. This leads us to emphasize the role that the application of clinical pharmacology principles could play in the development of DTx and to advocate for a development approach that merges such principles from development of traditional therapeutics with important considerations from the highly attractive and fast-paced world of digital solutions.

Predicting smoking cessation, reduction and relapse six months after using the Stop-Tabac app for smartphones: a machine learning analysis

BACKGROUND

An analysis of predictors of smoking behaviour among users of smoking cessation apps can provide useful information beyond what is already known about predictors in other contexts. Therefore, the aim of the present study was to identify the best predictors of smoking cessation, smoking reduction and relapse six months after starting to use the smartphone app Stop-Tabac.

METHOD

Secondary analysis of 5293 daily smokers from Switzerland and France who participated in a randomised trial testing the effectiveness of this app in 2020, with follow-up at one and six months. Machine learning algorithms were used to analyse the data. The analyses for smoking cessation included only the 1407 participants who responded after six months; the analysis for smoking reduction included only the 673 smokers at 6-month follow-up; and the analysis for relapse at 6 months included only the 502 individuals who had quit smoking after one month.

RESULTS

Smoking cessation after 6 months was predicted by the following factors (in this order): tobacco dependence, motivation to quit smoking, frequency of app use and its perceived usefulness, and nicotine medication use. Among those who were still smoking at follow-up, reduction in cigarettes/day was predicted by tobacco dependence, nicotine medication use, frequency of app use and its perceived usefulness, and e-cigarette use. Among those who had quit smoking after one month, relapse after six months was predicted by intention to quit, frequency of app use, perceived usefulness of the app, level of dependence and nicotine medication use.

CONCLUSION

Using machine learning algorithms, we identified independent predictors of smoking cessation, smoking reduction and relapse. Studies on the predictors of smoking behavior among users of smoking cessation apps may provide useful insights for the future development of these apps and future experimental studies.

CLINICAL TRIAL REGISTRATION

ISRCTN Registry: ISRCTN11318024, 17 May 2018. http://www.isrctn.com/ISRCTN11318024 .

Waiting for a digital therapist: three challenges on the path to psychotherapy delivered by artificial intelligence

Growing demand for broadly accessible mental health care, together with the rapid development of new technologies, trigger discussions about the feasibility of psychotherapeutic interventions based on interactions with Conversational Artificial Intelligence (CAI). Many authors argue that while currently available CAI can be a useful supplement for human-delivered psychotherapy, it is not yet capable of delivering fully fledged psychotherapy on its own. The goal of this paper is to investigate what are the most important obstacles on our way to developing CAI systems capable of delivering psychotherapy in the future. To this end, we formulate and discuss three challenges central to this quest. Firstly, we might not be able to develop effective AI-based psychotherapy unless we deepen our understanding of what makes human-delivered psychotherapy effective. Secondly, assuming that it requires building a therapeutic relationship, it is not clear whether psychotherapy can be delivered by non-human agents. Thirdly, conducting psychotherapy might be a problem too complicated for narrow AI, i.e., AI proficient in dealing with only relatively simple and well-delineated tasks. If this is the case, we should not expect CAI to be capable of delivering fully-fledged psychotherapy until the so-called "general" or "human-like" AI is developed. While we believe that all these challenges can ultimately be overcome, we think that being mindful of them is crucial to ensure well-balanced and steady progress on our path to AI-based psychotherapy.

Clinicians' and Users' Views and Experiences of a Tele-Mental Health Service Implemented Alongside the Public Mental Health System during the COVID-19 Pandemic

A tele-mental health model called Head to Health was implemented in the state of Victoria, Australia to address the crisis caused by the COVID-19 pandemic. It was a free centralized intake service that adopted a targeted approach with several novel elements, such as stepped care and telehealth. This study examines the views and experiences of clinicians and service users of the tele-mental health service in the Gippsland region of Victoria during the COVID-19 pandemic. Data from clinicians were obtained via an online 10-item open-ended survey instrument and from service users through semi-structured interviews. Data were obtained from 66 participants, including 47 clinician surveys and 19 service user interviews. Six categories emerged from the data. They were: 'Conditions where use of tele-mental health is appropriate', 'Conditions where tele-mental health may not be useful', 'Advantages of tele-mental health', 'Challenges in using tele-mental health', 'Client outcomes with tele-mental health', and 'Recommendations for future use'. This is one of a few studies where clinicians' and service users' views and experiences have been explored together to provide a nuanced understanding of perspectives on the efficacy of tele-mental health when it was implemented alongside public mental health services.

Meta-analysis of the efficacy of digital therapies in children with attention-deficit hyperactivity disorder

Background

Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that commonly occurs in childhood. The aim of this meta-analysis was to summarize the available evidence for the efficacy of digital therapeutics in children and adolescents with ADHD.

Methods

We searched the MEDLINE, EMBASE, Cochrane Library (Cochrane Database of Systematic Reviews), and Web of Science (science and social science citation index) databases for relevant studies and used Stata 15.0 software to carry out the meta-analysis.

Results

A total of 31 studies involving 2169 participants (1665 boys and 504 girls) aged 4-17 years old were included in the final analysis. The meta-analysis results showed that digital interventions improved the symptoms of inattention with an effect value of -0.20 (95% confidence interval [CI] -0.36, -0.04) and decreased the continuous performance task (CPT) reaction time (effect, -0.40, 95% CI -0.73, -0.07) in ADHD patients. The score for impulsive hyperactivity was slightly decreased (effect, -0.07, 95% CI -0.23, 0.09). Moreover, executive function was improved (effect, 0.71, 95% CI 0.37, 1.04). The capability of working memory appeared to be increased (effect, 0.48, 95% CI 0.21, 0.76) between the two groups. Visual appraisal of the sensitivity analysis suggested the absence of heterogeneity, and no obvious publication bias was detected.

Discussion

Based on the existing literature evidence, we conclude that digital therapy can be a promising therapeutic strategy for ADHD patients.

A systematic review and meta-analysis of digital interventions targeted at individuals with borderline personality disorder (BPD), emotionally unstable personality disorder (EUPD), and related symptoms

OBJECTIVES

The present review investigates the impact of digital interventions for individuals with features of borderline personality disorder (BPD)/emotional unstable personality disorder (EUPD) as digital interventions show promise as therapeutic tools in underserved groups. BPD/EUPD features are identified as clinically relevant, yet previous reviews on the use of digital interventions fail to include subthreshold symptomatology.

METHODS

Five online databases were searched for terminology in three categories: BPD/EUPD and related symptoms, mental-health interventions, and digital technology. Additionally, four relevant journals and two trial registers were searched for additional papers meeting the inclusion criteria.

RESULTS

Twelve articles met all inclusion criteria. Meta-analyses revealed statistically significant differences in symptom measures between intervention and control groups at postintervention and decreases in BPD/EUPD symptomatology and well-being from pre- to postintervention. Service users' engagement, satisfaction, and acceptability of interventions were high. Results support the previous literature on the value of using digital interventions in populations with BPD/EUPD.

CONCLUSION

Overall, it was identified that digital interventions show promise for successful implementation with this population.

Utilization of digital prenatal services and management of depression and anxiety during pregnancy: A retrospective observational study

Introduction

We examined how utilization of Maven, a digital healthcare platform that provides virtual prenatal services, is associated with improvements in perceived management of anxiety and depression during pregnancy, and how medical knowledge and support may influence this association.

Materials and Methods

In this retrospective study we used adjusted logistic regression to examine the relationship between digital platform use in pregnancy and perceived mental health management, and how perceived management of mental health is affected by user-reported improvements in medical knowledge and feeling supported by the platform. Effects were evaluated separately among users with and without a mental health condition. Demographics, medical history, and mental health management were self-reported.

Results

Of 5,659 users, 705 (12.5%) reported that Maven helped them manage anxiety and/or depression in the prenatal period. In adjusted models, users who read more articles, sent more messages to care advocates, or had more appointments with providers were more likely to report improved management of mental health in a dose-response manner (e.g., articles read: Q2 aOR 1.31 (95% CI 1.01–1.70), Q3 aOR 1.68 (95% CI 1.30–2.17), Q4 1.99 (95% CI 1.54–2.59)). Improvements in medical knowledge and high perceived support were both associated with better perceived mental health management. Results were similar in users with and without a mental health condition.

Discussion

These results suggest that access to a diverse set of digital resources provides multiple pathways to managing depression and anxiety during pregnancy for those with and without a diagnosed mental health condition.

"I miss not being able to offer my couples a box of tissues…": Couples' and Therapists' perspectives on the therapeutic Alliance with the transition to online couple therapy

The purpose of this study is to advance theory concerning the experiences of couples and therapists involved in online couple therapy and the meanings they assign to them, with a particular focus on the therapeutic alliance. Using constructivist grounded theory methodology, in-depth semi-structured online interviews were conducted with 36 individuals, including 18 couples who had participated in online couple therapy via videoconference. Additionally, 15 couple and family therapists were interviewed in four online focus groups. Our analysis indicates three dimensions that impact the formation of the therapeutic alliance in online couple therapy: (1) emotional closeness, as a conduit for establishing physical or emotional space; (2) limited care, due to the therapist's difficulty providing comfort and security; and (3) body language, as reflected in the lack of physical presence and the close inspection of the face, at two opposite ends of a continuum. We discuss our findings through the lens of the closeness-distance dynamic, which posits that therapists' ability to regulate themselves depends on their clients' emotional needs. We conclude with implications for clinical practice.

Application of artificial intelligence tools in diagnosis and treatmentof mental disorders

Introduction: Artificial intelligence research is increasing its application in mental health services. Machine learning, deep learning, semantic analysis in the form of transcriptions of patients' statements enable early diagnosis of psychotic disorders, ADHD, anorexia nervosa. Of great importance are the so-called digital therapists. This paper aims to show the use of AI tools in diagnosing, treating, the benefits and limitations associated with mental disorders. Material and methodS: This literature review was conducted by searching scientific articles from 2015 to 2022. The basis were PubMED, OpenKnowledge, Web of Science, using the following keywords: artificial intelligence, digital therapy, psychiatry, machine learning. Results: A review indicates the widespread use of AI tools in screening for mental disorders. These tools advance the clinical diagnosis medical specialists make up for several years. They impact solving medical staff shortages, lack of access to medical facilities and leveling patient resistance to treatment. The benefits are ultra-fast analysis of large sets of information, effective screening of people in need of specialized psychiatric care, reduction of doctors' duties and maximization of their work efficiency. During the current COVID 19 pandemic, robots in the form of digital psychotherapists are playing a special role. Conclusions: The need for further research, testing and clarification of regulations related to the use of AI tools is indicated. Ethical and social problems need to be resolved. The tools should not form the basis of autonomous therapy without the supervision of highly trained professionals. Human beings should be at the center of analysis just as their health and well-being. Keywords: artificial intelligence, digital therapy, psychiatry, machine learning

User engagement in mobile apps for people with schizophrenia: A scoping review

Over the past decade, there has been an increase in the number of mobile apps designed for mental health proposes and mHealth has been perceived as a promising approach to help people with schizophrenia to manage their condition. However, adoption rates are relatively low and long-term user engagement is a major issue. The aim of this study is to identify and better understand what strategies and factors may influence user engagement and facilitate prolonged use of apps for people with schizophrenia to better manage their illness. A scoping review was conducted in accordance with the Arksey and O'Malley scoping review framework and following PRISMA ScR guidelines. The sources consisted of searching four electronic databases. Rayyan software was used for this study selection process and a narrative approach was used to synthesize the extracted data. A total of 28 studies which met the inclusion criteria were identified. The engagement strategies included push notifications, message prompts, personalization, application customization, goal setting, game-like features, use of different multimedia formats, social connectedness, support (peers and professionals), reliability of content and quality of feedback received. Some demographic factors may influence adherence such as age, gender, education level and socioeconomic status. Other factors also may play a role impacting engagement: health status, data privacy and security, involvement in design process, incentives for participation, app usage fitting in the user routines, initial training, and constant technical support. Included studies present high heterogeneity in outcome measures and thresholds criteria to assess engagement. Understanding what influences engagement and how to measure it is essential to enhance the design of mobile apps and deliver scalable solutions to help people with schizophrenia better manage their illness in their real-world uptake.

Clinical and Information Services Needed by Telemental Health Providers

Purpose: To identify clinical and informational services that telemental health (TMH) providers need to be more successful in their practice. Methods: In February-March 2021, 472 TMH providers completed a cross-sectional survey. Providers indicated the degree to which they need clinical (e.g., build therapeutic alliances) and informational (e.g., learn about regulatory changes) services. Independent samples t-tests were conducted to examine differences in needs according to when telemedicine was adopted. Results: TMH providers neutrally-to-somewhat agreed they could benefit from clinical (M = 3.24; standard deviation [SD] = 0.78) and informational (M = 3.66; SD = 0.82) services. Prepandemic TMH providers reported a greater need for services that help them cultivate relationships with patients, monitor health conditions, and to remain updated about reimbursement processes. Conclusion: All TMH providers could benefit from information about the latest trends and best practices in telemedicine. Prepandemic providers could benefit most from policy-related updates and patient-engagement services.

User experiences of an American-adapted moderated online social media platform for first-episode psychosis: Qualitative analysis

Objectives

The current study sought to qualitatively characterize the experiences of American users in a recent open trial of the Horyzons digital platform.

Methods

In total, 20 users on Horyzons USA completed semistructured interviews 12 weeks after their orientation to the platform and addressed questions related to (1) the platform, (2) their online therapist, and (3) the peer workers and community space. A hybrid inductive-deductive coding strategy was used to conduct a thematic analysis of the data (NCT04673851).

Results

The authors identified seven prominent themes that mapped onto the three components of self-determination theory. Features of the platform itself as well as inter- and intra-personal factors supported the autonomous use of Horyzons. Users also reflected that their perceived competence in social settings and in managing mental health was increased by the familiarity, privacy, and perceived safety of the platform and an emphasis on personalized therapeutic content. The behaviors or traits of online therapists as perceived by users and regular contact with peers and peer support specialists satisfied users' need for relatedness and promoted confidence in social settings. Users also described aspects of Horyzons USA that challenged their satisfaction of autonomy, competence, and relatedness, highlighting potential areas for future iterations of the platform's content and interface.

Conclusions

Horyzons USA is a promising digital tool that provides young adults with psychosis with the means to access tailored therapy material on demand and a supportive digital community to aid in the recovery process.

Metacognitive Reflection and Insight Therapy (MERIT) Delivered Virtually During the COVID-19 Pandemic: An Illustration of Two Cases

Alternative platform offerings for psychotherapy have become a necessity in the age of the novel coronavirus (COVID-19) pandemic. The current study describes the virtual adaptation of Metacognitive Reflection and Insight Therapy (MERIT) for people with psychosis. MERIT is a recovery-oriented psychotherapy that has shown promise in increasing metacognition and allowing individuals to make meaning of their psychiatric challenges and direct their own recovery efforts. MERIT delivery requires the assumption that metacognitive reflection is an intersubjective act where individuals make meaning with others instead of in isolation. As such, considering the current COVID-19 pandemic, research is needed to understand how intersubjectivity and the therapeutic alliance may differ in a virtual environment rather than in-person. The present study addresses this question by illustrating two case examples of MERIT's adaptation to a virtual delivery telehealth format. Moreover, this study expands on Lysaker and colleagues' (2020) investigation of virtual adaptations of MERIT by exploring how MERIT is adapted in a virtual environment, how intersubjectivity changes in a virtual environment, and, what opportunities virtual platforms allow for metacognitive reflection. Overall, we found that MERIT can be successfully delivered in a virtual telehealth platform. We discuss opportunities and considerations for MERIT and other psychotherapy virtual delivery.

To chat or bot to chat: Ethical issues with using chatbots in mental health

This paper presents a critical review of key ethical issues raised by the emergence of mental health chatbots. Chatbots use varying degrees of artificial intelligence and are increasingly deployed in many different domains including mental health. The technology may sometimes be beneficial, such as when it promotes access to mental health information and services. Yet, chatbots raise a variety of ethical concerns that are often magnified in people experiencing mental ill-health. These ethical challenges need to be appreciated and addressed throughout the technology pipeline. After identifying and examining four important ethical issues by means of a recognised ethical framework comprised of five key principles, the paper offers recommendations to guide chatbot designers, purveyers, researchers and mental health practitioners in the ethical creation and deployment of chatbots for mental health.

Evaluating Conversational Agents for Mental Health: Scoping Review of Outcomes and Outcome Measurement Instruments (Preprint)

BACKGROUND

Rapid proliferation of mental health interventions delivered through conversational agents (CAs) calls for high-quality evidence to support their implementation and adoption. Selecting appropriate outcomes, instruments for measuring outcomes, and assessment methods are crucial for ensuring that interventions are evaluated effectively and with a high level of quality.

OBJECTIVE

We aimed to identify the types of outcomes, outcome measurement instruments, and assessment methods used to assess the clinical, user experience, and technical outcomes in studies that evaluated the effectiveness of CA interventions for mental health.

METHODS

We undertook a scoping review of the relevant literature to review the types of outcomes, outcome measurement instruments, and assessment methods in studies that evaluated the effectiveness of CA interventions for mental health. We performed a comprehensive search of electronic databases, including PubMed, Cochrane Central Register of Controlled Trials, Embase (Ovid), PsychINFO, and Web of Science, as well as Google Scholar and Google. We included experimental studies evaluating CA mental health interventions. The screening and data extraction were performed independently by 2 review authors in parallel. Descriptive and thematic analyses of the findings were performed.

RESULTS

We included 32 studies that targeted the promotion of mental well-being (17/32, 53%) and the treatment and monitoring of mental health symptoms (21/32, 66%). The studies reported 203 outcome measurement instruments used to measure clinical outcomes (123/203, 60.6%), user experience outcomes (75/203, 36.9%), technical outcomes (2/203, 1.0%), and other outcomes (3/203, 1.5%). Most of the outcome measurement instruments were used in only 1 study (150/203, 73.9%) and were self-reported questionnaires (170/203, 83.7%), and most were delivered electronically via survey platforms (61/203, 30.0%). No validity evidence was cited for more than half of the outcome measurement instruments (107/203, 52.7%), which were largely created or adapted for the study in which they were used (95/107, 88.8%).

CONCLUSIONS

The diversity of outcomes and the choice of outcome measurement instruments employed in studies on CAs for mental health point to the need for an established minimum core outcome set and greater use of validated instruments. Future studies should also capitalize on the affordances made available by CAs and smartphones to streamline the evaluation and reduce participants' input burden inherent to self-reporting.

A Digital Mental Health Intervention (Inuka) for Common Mental Health Disorders in Zimbabwean Adults in Response to the COVID-19 Pandemic: Feasibility and Acceptability Pilot Study

BACKGROUND

Common mental health disorders (CMDs) are leading causes of disability globally. The ongoing COVID-19 pandemic has further exacerbated the burden of CMDs. COVID-19 containment measures, including lockdowns, have disrupted access to in-person mental health care. It is therefore imperative to explore the utility of digital mental health interventions to bridge the treatment gap. Mobile health technologies are effective tools for increasing access to treatment at a lower cost. This study explores the utility of Inuka, a chat-based app hinged on the Friendship Bench problem-solving therapy intervention. The Inuka app offers double anonymity, and clients can book or cancel a session at their convenience. Inuka services can be accessed either through a mobile app or the web.

OBJECTIVE

We aimed to explore the feasibility of conducting a future clinical trial. Additionally, we evaluated the feasibility, acceptability, appropriateness, scalability, and preliminary effectiveness of Inuka.

METHODS

Data were collected using concurrent mixed methods. We used a pragmatic quasiexperimental design to compare the feasibility, acceptability, and preliminary clinical effectiveness of Inuka (experimental group) and WhatsApp chat-based counseling (control). Participants received 6 problem-solving therapy sessions delivered by lay counselors. A reduction in CMDs was the primary clinical outcome. The secondary outcomes were health-related quality of life (HRQoL), disability and functioning, and social support. Quantitative outcomes were analyzed using descriptive and bivariate statistics. Finally, we used administrative data and semistructured interviews to gather data on acceptability and feasibility; this was analyzed using thematic analysis.

RESULTS

Altogether, 258 participants were screened over 6 months, with 202 assessed for eligibility, and 176 participants were included in the study (recruitment ratio of 29 participants/month). The participants' mean age was 24.4 (SD 5.3) years, and most participants were female and had tertiary education. The mean daily smartphone usage was 8 (SD 3.5) hours. Eighty-three users signed up and completed at least one session. The average completion rate was 3 out of 4 sessions. Inuka was deemed feasible and acceptable in the local context, with connectivity challenges, app instability, expensive mobile data, and power outages cited as potential barriers to scale up. Generally, there was a decline in CMDs (F_2,73=2.63; P=.08), depression (F_2,73=7.67; P<.001), and anxiety (F_2,73=2.95; P=.06) and a corresponding increase in HRQoL (F_2,73=7.287; P<.001) in both groups.

CONCLUSIONS

Study outcomes showed that it is feasible to run a future large-scale randomized clinical trial (RCT) and lend support to the feasibility and acceptability of Inuka, including evidence of preliminary effectiveness. The app's double anonymity and structured support were the most salient features. There is a great need for iterative app updates before scaling up. Finally, a large-scale hybrid RCT with a longer follow-up to evaluate the clinical implementation and cost-effectiveness of the app is needed.

A systematic review of the literature on telepsychiatry for bipolar disorder

OBJECTIVE

Bipolar (BP) disorder is a highly morbid disorder that is often misdiagnosed or undiagnosed and affects a large number of adults and children. Due to the coronavirus disease 2019 public health emergency stay at home orders, most outpatient mental health care was provided via telepsychiatry, and the many benefits of virtual care ensure that this will continue as an ongoing practice. The main aim of this review was to investigate what is currently known about the use of telepsychiatry services in the diagnosis and treatment of BP disorder across the lifespan.

METHOD

A systematic literature review assessing the use of telepsychiatry in BP disorder was conducted in PubMed, PsychINFO, and Medline.

RESULTS

Six articles were included in the final review. All included articles assessed populations aged 17 years or older. The literature indicates that BP disorder was addressed in telepsychiatry services at a similar rate as in-person services, reliable diagnoses can be made using remote interviews, satisfaction rates are comparable to in-person services, telepsychiatry services are able to reach and impact patients with BP disorder, are sustainable, and patient outcomes can improve using a telepsychiatry intervention.

CONCLUSIONS

Given the morbidity of BP disorder, the research addressing the telepsychiatry diagnosis and treatment of BP disorder is sparse, with only emerging evidence of its reliability, effectiveness, and acceptance. There is no research assessing the safety and efficacy of telepsychiatry in pediatric populations with BP disorder. Given the morbidity associated with BP disorder at any age, further research is needed to determine how to safely and effectively incorporate telepsychiatry into clinical care for BP adult and pediatric patients.

Comparable reliability and acceptability of telepsychiatry and face-to-face psychiatric assessments in the emergency room setting

OBJECTIVE

This study aims to compare the reliability and acceptability of psychiatric interviews using telepsychiatry and face-to-face modalities in the emergency room setting.

METHODS

In this prospective observational feasibility study, psychiatric patients (n = 38) who presented in emergency rooms between April and June 2020, went through face-to-face and videoconference telepsychiatry interviews in a non-randomised varying order. Interviewers and a senior psychiatry resident who observed both interviews determined diagnosis, recommended disposition and indication for involuntary admission. Patients and psychiatrists completed acceptability post-assessment surveys.

RESULTS

Agreement between raters on recommended disposition and indication for involuntary admission as measured by Cohen's kappa was 'strong' to 'almost perfect' (0.84/0.81, 0.95/0.87 and 0.89/0.94 for face-to-face vs. telepsychiatry, observer vs. face-to-face and observer vs. telepsychiatry, respectively). Partial agreement between the raters on diagnosis was 'strong' (Cohen's kappa of 0.81, 0.85 and 0.85 for face-to-face vs. telepsychiatry, observer vs. face-to-face and observer vs. telepsychiatry, respectively).Psychiatrists' and patients' satisfaction rates, and psychiatrists' perceived certainty rates, were comparably high in both face-to-face and telepsychiatry groups.

CONCLUSIONS

Telepsychiatry is a reliable and acceptable alternative to face-to-face psychiatric assessments in the emergency room setting. Implementing telepsychiatry may improve the quality and accessibility of mental health services.Key pointsTelepsychiatry and face-to-face psychiatric assessments in the emergency room setting have comparable reliability.Patients and providers report a comparable high level of satisfaction with telepsychiatry and face-to-face modalities in the emergency room setting.Providers report a comparable level of perceived certainty in their clinical decisions based on telepsychiatry and face-to-face psychiatric assessments in the emergency room setting.

Potential and Pitfalls of Mobile Mental Health Apps in Traditional Treatment: An Umbrella Review

While the rapid growth of mobile mental health applications has offered an avenue of support unbridled by physical distance, time, and cost, the digitalization of traditional interventions has also triggered doubts surrounding their effectiveness and safety. Given the need for a more comprehensive and up-to-date understanding of mobile mental health apps in traditional treatment, this umbrella review provides a holistic summary of their key potential and pitfalls. A total of 36 reviews published between 2014 and 2022—including systematic reviews, meta-analyses, scoping reviews, and literature reviews—were identified from the Cochrane library, Medline (via PubMed Central), and Scopus databases. The majority of results supported the key potential of apps in helping to (1) provide timely support, (2) ease the costs of mental healthcare, (3) combat stigma in help-seeking, and (4) enhance therapeutic outcomes. Our results also identified common themes of apps’ pitfalls (i.e., challenges faced by app users), including (1) user engagement issues, (2) safety issues in emergencies, (3) privacy and confidentiality breaches, and (4) the utilization of non-evidence-based approaches. We synthesize the potential and pitfalls of mental health apps provided by the reviews and outline critical avenues for future research.

Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians

BACKGROUND

Remote measurement technologies, such as smartphones and wearable devices, can improve treatment outcomes for depression through enhanced illness characterization and monitoring. However, little is known about digital outcomes that are clinically meaningful to patients and clinicians. Moreover, if these technologies are to be successfully implemented within treatment, stakeholders' views on the barriers to and facilitators of their implementation in treatment must be considered.

OBJECTIVE

This study aims to identify clinically meaningful targets for digital health research in depression and explore attitudes toward their implementation in psychological services.

METHODS

A grounded theory approach was used on qualitative data from 3 focus groups of patients with a current diagnosis of depression and clinicians with >6 months of experience with delivering psychotherapy (N=22).

RESULTS

Emerging themes on clinical targets fell into the following two main categories: promoters and markers of change. The former are behaviors that participants engage in to promote mental health, and the latter signal a change in mood. These themes were further subdivided into external changes (changes in behavior) or internal changes (changes in thoughts or feelings) and mapped with potential digital sensors. The following six implementation acceptability themes emerged: technology-related factors, information and data management, emotional support, cognitive support, increased self-awareness, and clinical utility.

CONCLUSIONS

The promoters versus markers of change differentiation have implications for a causal model of digital phenotyping in depression, which this paper presents. Internal versus external subdivisions are helpful in determining which factors are more susceptible to being measured by using active versus passive methods. The implications for implementation within psychotherapy are discussed with regard to treatment effectiveness, service provision, and patient and clinician experience.

Attitudes toward innovative mental health treatment approaches in Germany: E-mental health and home treatment

E-mental health and home treatment are treatment approaches that have proven to be effective, but are only slowly implemented in the German health care system. This paper explores the attitudes toward these innovative treatment approaches. Data was collected in two large, non-clinical samples representative of the German population in spring 2020 (N = 2,503) and winter 2020/2021 (N = 2,519). Statistical associations between variables were examined using two-tailed tests. Binary and multinomial logistic regressions were performed to predict attitudes toward online-based treatment concepts and home treatment approaches. Only few (<20%) people preferred online-based treatment approaches, while a larger proportion (~50%) could imagine being treated at home. Overall, younger subjects were more open to online-therapy approaches, while people with lower education preferred more often a traditional therapy setting. Acceptance of online-therapy did not raise significantly during the first months of the COVID-19 pandemic. When different online-based treatment options were available, the probability of accepting home treatment significantly increased with increasing levels of therapeutic support. Further promotion of acceptance for online-therapy and home treatment seems to be necessary. In the future, more information on innovative treatment approaches should be actively provided.

Participants' experiences of AVATAR therapy for distressing voices: a thematic qualitative evaluation

BACKGROUND

AVATAR therapy is an innovative therapy designed to support people with distressing voices. Voice hearers co-create a digital representation of their voice and engage in dialogue with it. Although it has been successfully tested in a powered randomised controlled trial (ISRCTN65314790), the participants' experience of this therapy has not been yet evaluated. We aimed to explore enablers and barriers to engagement with the therapy and potential for real-world impact on distressing voices.

METHODS

Thirty per cent of those who completed AVATAR therapy (15 people in total) and 5 who dropped out from therapy within the main AVATAR RCT were invited to participate in a semi-structured interview, which was audio-recorded and subsequently transcribed.

RESULTS

Fourteen therapy completers (28% of the full sample) and one person who dropped out of therapy after 1 active session, were interviewed. Thematic analysis was used to explore the interviews. A total of 1276 references were coded, and five overarching themes identified: AVATAR therapy set-up; voice embodiment and associated emotions; working in a safe space (supported by the therapist); learning new ways of relating to the voices; impact of therapy on everyday life. Overall, the therapy set-up, with its digital components and its distinctive features as compared with common face-to-face talking therapies, was satisfactory. The inclusion of technology was well accepted as both a means to deliver the therapy and a tool to create a digital representation of the person's distressing voice. The co-creation of the avatar and the enactment of the relationship between the person and the voice were perceived as a very helpful process to promote the therapeutical dialogue. Participants reported engaging well with the therapist and feeling supported and identified specific learnt strategies to deal with the voices and how they have had an impact on everyday life.

CONCLUSIONS

AVATAR therapy is acceptable and provides benefit for participants with psychosis. Our results highlighted the enablers and challenges of working dialogically with distressing voices using a digital representation and dealing with highly demanding emotional, cognitive, and relational processes linked to the experience. Our analysis also identified the core strategies learnt by participants and how these were generalised to their daily life resulting into a positive change in different domains, and in particular broader social relationships.

A Group-Facilitated, Internet-Based Intervention to Promote Mental Health and Well-Being in a Vulnerable Population of University Students: Randomized Controlled Trial of the Be Well Plan Program

BACKGROUND

A growing literature supports the use of internet-based interventions to improve mental health outcomes. However, most programs target specific symptoms or participant groups and are not tailored to facilitate improvements in mental health and well-being or do not allow for needs and preferences of individual participants. The Be Well Plan, a 5-week group-facilitated, internet-based mental health and well-being group intervention addresses these gaps, allowing participants to select a range of activities that they can tailor to their specific characteristics, needs, and preferences.

OBJECTIVE

This study aims to test whether the Be Well Plan program was effective in improving primary outcomes of mental well-being, resilience, anxiety, and depression compared to a waitlist control group during the COVID-19 pandemic; secondary outcomes included self-efficacy, a sense of control, and cognitive flexibility. The study further seeks to examine participants' engagement and satisfaction with the program.

METHODS

A randomized controlled trial (RCT) was conducted with 2 parallel arms, an intervention and a waitlist control group. The intervention involved 5 weekly 2-hour sessions, which were facilitated in group format using Zoom videoconferencing software. University students were recruited via social media posts, lectures, emails, flyers, and posters.

RESULTS

Using an intentional randomization 2:1 allocation strategy, we recruited 215 participants to the trial (n=126, 58.6%, intervention group; n=89, 41.4%, waitlist control group). Of the 126 participants assigned to the intervention group, 75 (59.5%) commenced the program and were included in modified intention-to-treat (mITT) analyses. mITT intervention participants attended, on average, 3.41 sessions (SD 1.56, median 4); 55 (73.3%) attended at least 4 sessions, and 25 (33.3%) attended all 5 sessions. Of the 49 intervention group participants who completed the postintervention assessment, 47 (95.9%) were either very satisfied (n=31, 66%) or satisfied (n=16, 34%). The mITT analysis for well-being (F_1,162=9.65, P=.002, Cohen d=0.48) and resilience (F_1,162=7.85, P=.006, Cohen d=0.44) showed significant time × group interaction effects, suggesting that both groups improved over time, but the Be Well Plan (intervention) group showed significantly greater improvement compared to the waitlist control group. A similar pattern of results was observed for depression and anxiety (Cohen d=0.32 and 0.37, respectively), as well as the secondary outcomes (self-efficacy, Cohen d=0.50; sense of control, Cohen d=0.42; cognitive flexibility, Cohen d=0.65). Larger effect sizes were observed in the completer analyses. Reliable change analysis showed that the majority of mITT participants (58/75, 77.3%) demonstrated a significant reliable improvement in at least 1 of the primary outcomes.

CONCLUSIONS

The Be Well Plan program was effective in improving mental health and well-being, including mental well-being, resilience, depression, and anxiety. Participant satisfaction scores and attendance indicated a high degree of engagement and satisfaction with the program.

TRIAL REGISTRATION

Australian New Zealand Clinical Trial Registry ACTRN12621000180819; https://tinyurl.com/2p8da5sk.

Human-Computer Interaction in Digital Mental Health

Human-computer interaction (HCI) has contributed to the design and development of some efficient, user-friendly, cost-effective, and adaptable digital mental health solutions. But HCI has not been well-combined into technological developments resulting in quality and safety concerns. Digital platforms and artificial intelligence (AI) have a good potential to improve prediction, identification, coordination, and treatment by mental health care and suicide prevention services. AI is driving web-based and smartphone apps; mostly it is used for self-help and guided cognitive behavioral therapy (CBT) for anxiety and depression. Interactive AI may help real-time screening and treatment in outdated, strained or lacking mental healthcare systems. The barriers for using AI in mental healthcare include accessibility, efficacy, reliability, usability, safety, security, ethics, suitable education and training, and socio-cultural adaptability. Apps, real-time machine learning algorithms, immersive technologies, and digital phenotyping are notable prospects. Generally, there is a need for faster and better human factors in combination with machine interaction and automation, higher levels of effectiveness evaluation and the application of blended, hybrid or stepped care in an adjunct approach. HCI modeling may assist in the design and development of usable applications, and to effectively recognize, acknowledge, and address the inequities of mental health care and suicide prevention and assist in the digital therapeutic alliance.

Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis

BACKGROUND

Symptoms of anxiety are common in pregnancy, with severe symptoms associated with negative outcomes for women and babies. Low-level psychological therapy is recommended for women with mild to moderate anxiety, with the aim of preventing an escalation of symptoms and providing coping strategies. Remotely delivered interventions have been suggested to improve access to treatment and support and provide a cost-effective, flexible, and timely solution.

OBJECTIVE

This study identifies and evaluates remotely delivered, digital, or web-based interventions to support women with symptoms of anxiety during pregnancy.

METHODS

This mixed methods systematic review followed a convergent segregated approach to synthesize qualitative and quantitative data. The ACM Digital Library, Allied and Complementary Medicine Database, Applied Social Sciences Index and Abstracts, Centre for Reviews and Dissemination database, the Cochrane Central Register of Controlled Trials, the Cochrane Library, CINAHL, Embase, Health Technology Assessment Library, IEEE Xplore, Joanna Briggs Institute, Maternity and Infant Care, MEDLINE, PsycINFO, and the Social Science Citation Index were searched in October 2020. Quantitative or qualitative primary research that included pregnant women and evaluated remotely delivered interventions reporting measures of anxiety, fear, stress, distress, women's views, and opinions were included.

RESULTS

Overall, 3 qualitative studies and 14 quantitative studies were included. Populations included a general antenatal population and pregnant women having anxiety and depression, fear of childbirth, insomnia, and preterm labor. Interventions included cognitive behavioral therapy, problem solving, mindfulness, and educational designs. Most interventions were delivered via web-based platforms, and 62% (8/13) included direct contact from trained therapists or coaches. A meta-analysis of the quantitative data found internet-based cognitive behavioral therapy and facilitated interventions showed a beneficial effect in relation to the reduction of anxiety scores (standardized mean difference -0.49, 95% CI -0.75 to -0.22; standardized mean difference -0.48, 95% CI -0.75 to -0.22). Due to limitations in the amount of available data and study quality, the findings should be interpreted with caution. Synthesized findings found some evidence to suggest that interventions are more effective when women maintain regular participation which may be enhanced by providing regular contact with therapists or peer support, appropriate targeting of interventions involving components of relaxation and cognitive-based skills, and providing sufficient sessions to develop new skills without being too time consuming.

CONCLUSIONS

There is limited evidence to suggest that women who are pregnant may benefit from remotely delivered interventions. Components of interventions that may improve the effectiveness and acceptability of remotely delivered interventions included providing web-based contact with a therapist, health care professional, or peer community. Women may be more motivated to complete interventions that are perceived as relevant or tailored to their needs. Remote interventions may also provide women with greater anonymity to help them feel more confident in disclosing their symptoms.

Digital interventions in mental health: evidence syntheses and economic modelling

BACKGROUND

Economic evaluations provide evidence on whether or not digital interventions offer value for money, based on their costs and outcomes relative to the costs and outcomes of alternatives.

OBJECTIVES

(1) Evaluate and summarise published economic studies about digital interventions across different technologies, therapies, comparators and mental health conditions; (2) synthesise clinical evidence about digital interventions for an exemplar mental health condition; (3) construct an economic model for the same exemplar mental health condition using the previously synthesised clinical evidence; and (4) consult with stakeholders about how they understand and assess the value of digital interventions.

METHODS

We completed four work packages: (1) a systematic review and quality assessment of economic studies about digital interventions; (2) a systematic review and network meta-analysis of randomised controlled trials on digital interventions for generalised anxiety disorder; (3) an economic model and value-of-information analysis on digital interventions for generalised anxiety disorder; and (4) a series of knowledge exchange face-to-face and digital seminars with stakeholders.

RESULTS

In work package 1, we reviewed 76 economic evaluations: 11 economic models and 65 within-trial analyses. Although the results of the studies are not directly comparable because they used different methods, the overall picture suggests that digital interventions are likely to be cost-effective, compared with no intervention and non-therapeutic controls, whereas the value of digital interventions compared with face-to-face therapy or printed manuals is unclear. In work package 2, we carried out two network meta-analyses of 20 randomised controlled trials of digital interventions for generalised anxiety disorder with a total of 2350 participants. The results were used to inform our economic model, but when considered on their own they were inconclusive because of the very wide confidence intervals. In work package 3, our decision-analytic model found that digital interventions for generalised anxiety disorder were associated with lower net monetary benefit than medication and face-to-face therapy, but greater net monetary benefit than non-therapeutic controls and no intervention. Value for money was driven by clinical outcomes rather than by intervention costs, and a value-of-information analysis suggested that uncertainty in the treatment effect had the greatest value (£12.9B). In work package 4, stakeholders identified several areas of benefits and costs of digital interventions that are important to them, including safety, sustainability and reducing waiting times. Four factors may influence their decisions to use digital interventions, other than costs and outcomes: increasing patient choice, reaching underserved populations, enabling continuous care and accepting the 'inevitability of going digital'.

LIMITATIONS

There was substantial uncertainty around effect estimates of digital interventions compared with alternatives. This uncertainty was driven by the small number of studies informing most comparisons, the small samples in some of these studies and the studies' high risk of bias.

CONCLUSIONS

Digital interventions may offer good value for money as an alternative to 'doing nothing' or 'doing something non-therapeutic' (e.g. monitoring or having a general discussion), but their added value compared with medication, face-to-face therapy and printed manuals is uncertain. Clinical outcomes rather than intervention costs drive 'value for money'.

FUTURE WORK

There is a need to develop digital interventions that are more effective, rather than just cheaper, than their alternatives.

STUDY REGISTRATION

This study is registered as PROSPERO CRD42018105837.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 26, No. 1. See the NIHR Journals Library website for further project information.

Recommender systems for mental health apps: advantages and ethical challenges

Recommender systems assist users in receiving preferred or relevant services and information. Using such technology could be instrumental in addressing the lack of relevance digital mental health apps have to the user, a leading cause of low engagement. However, the use of recommender systems for digital mental health apps, particularly those driven by personal data and artificial intelligence, presents a range of ethical considerations. This paper focuses on considerations particular to the juncture of recommender systems and digital mental health technologies. While separate bodies of work have focused on these two areas, to our knowledge, the intersection presented in this paper has not yet been examined. This paper identifies and discusses a set of advantages and ethical concerns related to incorporating recommender systems into the digital mental health (DMH) ecosystem. Advantages of incorporating recommender systems into DMH apps are identified as (1) a reduction in choice overload, (2) improvement to the digital therapeutic alliance, and (3) increased access to personal data & self-management. Ethical challenges identified are (1) lack of explainability, (2) complexities pertaining to the privacy/personalization trade-off and recommendation quality, and (3) the control of app usage history data. These novel considerations will provide a greater understanding of how DMH apps can effectively and ethically implement recommender systems.

Delivery of Distance Counselling to Survivors of Sexual Violence: A Scoping Review of Promising and Best Practices

Distance counselling holds immense potential for improving access to trauma supports for survivors of sexual violence (SV), and particularly for under-served groups who disproportionately experience violence and myriad barriers to accessing in-person supports. And yet, the evidence-base for the practice and delivery of distance counselling remains under-developed. In the context of COVID-19, where telehealth applications have undergone a rapid uptake, we undertook a scoping review of existing evidence of therapeutic and organizational practices related to the real-time (synchronous) delivery of distance counselling to survivors of SV. We based our scoping review methods on Arksey and O’Malley framework and in accordance with the guidance on scoping reviews from the Joanna Briggs Institute (JBI) and PRISMA reporting guidelines for scoping reviews. A comprehensive search of MEDLINE, Embase, PsycINFO, CINAHL, Web of Science, and Sociological Abstracts was undertaken in October 2020, and again in March 2022. Searching, reviewing, appraisal, and data extraction was undertaken by two reviewers. In total, 1094 records were identified that resulted in 20 studies included. Descriptions, findings, and recommendations were gleaned and synthesized into potential practices using inductive thematic analysis. While many studies have an appreciative orientation to distance counselling, these benefits tend to be framed as non-universal, and conditional on survivor safety, flexibility, anonymity, survivor choice, strong and inclusive technology, and a supported workforce.

Despite the limited evidence-base, we present several clusters of findings that, taken together, can be used to support current COVID-19 distance counselling initiatives with survivors, as well as guide the future development of best practices.