The Perceived Benefits of Digital Interventions for Behavioral Health: Qualitative Interview Study

The development of an augmented reality application for exercise prescription within paediatric oncology: App design and protocol of a pilot study

Background: Children and young people with cancer face barriers when engaging with exercise, such as treatment-related side effects, psychosocial burdens and lack of individualised provisions. Digital health tools, such as smartphone applications, have emerged as a promising driver to support healthcare provisions in exercise prescription among patients. It is vital to explore how such technologies can be developed more effectively in order to strengthen the evidence supporting their use and for more appropriate implementation within healthcare. This study aims to explore user experiences, preferences and suggested improvements from healthy children and young people aged 9-21 years. Methods: An augmented reality (AR) application was specifically developed for children and young people aged 9-21 years undergoing cancer treatment and a protocol for a pilot study was designed. The target sample of this pilot study is 90 healthy children and young people aged 9-21 years. Practical 30-min workshops will be conducted encouraging participants to engage with the smartphone app. Focus groups will explore participant experiences, preferences, and suggested improvements. Data will be analysed deductively with apriori themes derived from the semi-structured interviews. Discussion: Obtaining user experiences, preferences and suggested improvements is especially important for the development of novel apps, such as those prescribing exercise and using algorithms and augmented reality software. Results from this study will directly influence the development of an augmented reality application, which will also be applied within a long-term trial in paediatric oncology.

The effectiveness of digital interventions for self-management of chronic pain in employment settings: a systematic review

INTRODUCTION

Chronic pain affects over a quarter of the workforce with high economic burden for individuals, employers and healthcare services. Access to work-related advice for people with chronic pain is variable. This systematic review aims to explore the effectiveness of workplace-delivered digital interventions for the self-management of chronic pain.

SOURCE OF DATA

MEDLINE, EMBASE, CINAHL, PsycINFO, the Cochrane Library, JBI, Open Science Framework, Epistemonikos and Google Scholar. Articles published between January 2001 and December 2023 were included. Searches were conducted between October 2023 and December 2023.

AREAS OF AGREEMENT

Workplace-delivered digital interventions to support self-management of chronic pain at work may improve pain and health-related quality of life in vocationally active adults. Delivering interventions outside of clinical services, through the workplace setting, may help to reduce inequity in access to work-related advice for people with chronic pain, and ultimately reduce the burden on individuals, employers and healthcare services. Interventions include mobile apps and web-based programmes.

AREAS OF CONTROVERSY

Studies were moderate-to-low quality. Most studies focused on exercise, few considered other aspects of pain self-management. Given the limited evidence in the current literature, consensus on best intervention format and delivery is lacking.

GROWING POINTS

More high-quality studies are needed given the heterogeneity in study design, interventions and outcome measures.

AREAS TIMELY FOR DEVELOPING RESEARCH

No interventions included advice on work-related adjustments or support. Few studies included work-related outcomes, despite the known impact of pain on work and work on health.

The Use of Noncommercial Parent-Focused mHealth Interventions for Behavioral Problems in Youth: Systematic Review

BACKGROUND

The rates of substance use among adolescents are alarmingly high, and current treatment options lack integration of parent-focused interventions, despite evidence that effective parenting practices can mediate treatment outcomes for adolescents involved in substance use. Accessibility and other barriers to parental interventions may be mitigated through mobile health (mHealth); however, few mHealth platforms target substance use behaviors for adolescents through the implementation of behavioral parent training strategies.

OBJECTIVE

This study seeks to review current mHealth platforms within empirical literature that are designed to increase effective parenting through behavioral parent training techniques. Because of the paucity of mHealth modalities that use parenting strategies to target substance use in adolescents, the objective was expanded to include mHealth platforms addressing behavior problems among youth, given that parent-targeted treatments for these clinical presentations overlap with those for adolescent substance use. Overall, the systematic review was conducted to inform the development of mHealth apps for parents of youth involved in substance use, improve accessibility, and better align with parental needs.

METHODS

This systematic review was conducted using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method to select relevant articles across several databases. Each study was assessed for relevance and inclusion. Each study was reviewed for demographics, delivery medium, intervention status as stand-alone treatment or as an enhancement to treatment, mobile device used, mental health condition targeted, intervention type, underlying intervention theory, behavior change theory applied in design, behavior change techniques, parent training techniques, youth outcomes, parent outcomes, visual design, content, and features.

RESULTS

Overall, 11 studies were included. Nearly all studies (9/11, 82%) predominantly sampled female caregivers. Most of the studies (6/11, 55%) integrated social learning theory. Only a few of the studies (2/11, 18%) discussed the embedded behavior change theories, whereas all the studies (11/11, 100%) used at least one behavior change technique to encourage change in parental behaviors. Many of the studies (7/11, 64%) tailored design features to the end user. Of the various behavioral parent training techniques, nearly all studies (10/11, 91%) included the skill of strengthening the parent-child relationship. A preliminary evaluation of treatment outcomes suggests a positive impact of parent-targeted mHealth interventions. When reported, the effect sizes for treatment ranged from Cohen d=0.38 to Cohen d=1.58 for youth and from Cohen d=0.13 to Cohen d=2.59 for parents.

CONCLUSIONS

Although features and techniques were referenced, only a few of the studies provided specific information related to behavior change theory (2/11, 18%), visual design (2/11, 18%), and the translation of parent-targeted interventions to mHealth platforms. Such information would be useful for the development of mHealth apps. Preliminary outcomes for youth and parents are encouraging, but future studies should consider conducting a meta-analysis as the body of studies grows to determine aggregate statistical findings.

E-Health Family Interventions for Parents of Children With Autism Aged 0-6 Years: A Scoping Review

OBJECTIVE

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with onset in infancy. Early intervention is critical to improve the prognosis for these children. E-health interventions have tremendous potential. This review aimed to determine the status and effectiveness of family interventions for parents of children aged 0-6 years with ASD in the context of e-health.

METHODS

The review methodology was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. PubMed, Web of Science, and China National Knowledge Infrastructure were searched from inception to June 2022. The searches were limited to children with ASD of the age range between 0 and 6 years. We collated the available information and used descriptive statistics to analyze the synthesized data.

RESULTS

Our initial search identified 3,672 articles, of which 30 studies met the inclusion criteria. The 30 articles selected were released between 2012 and 2022. All articles are in English. Most articles reviewed were from high-income countries (27/30, 90.0%), especially from the United States (16/30, 53.3%). Four major themes emerged from the 30 studies that matched the inclusion criteria, as follows: 1) type of e-health interventions, 2) duration of interventions, 3) clinical aspects of e-health interventions, and 4) evidence for intervention effectiveness, looking into the positive, negative, and mixed findings of previous studies.

CONCLUSION

These findings suggest that a wide variety of e-health interventions may actually help support both children with ASD aged 0-6 years and their parents.

Outcomes of Best-Practice Guided Digital Mental Health Interventions for Youth and Young Adults with Emerging Symptoms: Part II. A Systematic Review of User Experience Outcomes

Although many young people demonstrate resilience and strength, research and clinical evidence highlight an upward trend in mental health concerns among those aged 12 to 25 years. Youth-specific digital mental health interventions (DMHIs) aim to address this trend by providing timely access to mental health support for young people (12-25 years). However, there is a considerable gap in understanding young people user experiences with digital interventions. This review, co-designed with Australia's leading mental health organization Beyond Blue, utilizes a systematic methodology to synthesize evidence on user experience in youth-oriented digital mental health interventions that are fully or partially guided. Five relevant online databases were searched for articles published from 2018 to 2023, yielding 22,482 articles for screening and 22 studies were included in the present analysis. User experience outcomes relating to satisfaction and engagement were assessed for each included intervention, with experience indicators relating to usefulness, usability, value, credibility, and desirability being examined. Elements associated with positive/negative outcomes were extracted. Elements shown to positively influence user experience included peer engagement, modern app-based delivery, asynchronous support, and personalized content. In contrast, users disliked static content, homework/log-keeping, the requirement for multiple devices, and social media integration. Asynchronous interventions showed high satisfaction but faced engagement issues, with combined asynchronous/synchronous interventions reporting better completion rates. DMHIs offer a promising platform for youth mental health support and has the potential to dramatically increase the reach of interventions through the adoption of technological and user experience best practices. While young people respond positively to many aspects of intervention modernization, such as interactive, app-based design, other concepts, such as social media integration, they need to be adopted by the field more cautiously to ensure trust and engagement.Trial Registration CRD42023405812.

Effective Communication Supported by an App for Pregnant Women: Quantitative Longitudinal Study

BACKGROUND

In the medical field of obstetrics, communication plays a crucial role, and pregnant women, in particular, can benefit from interventions improving their self-reported communication behavior. Effective communication behavior can be understood as the correct transmission of information without misunderstanding, confusion, or losses. Although effective communication can be trained by patient education, there is limited research testing this systematically with an app-based digital intervention. Thus, little is known about the success of such a digital intervention in the form of a web-app, potential behavioral barriers for engagement, as well as the processes by which such a web-app might improve self-reported communication behavior.

OBJECTIVE

This study fills this research gap by applying a web-app aiming at improving pregnant women's communication behavior in clinical care. The goals of this study were to (1) uncover the potential risk factors for early dropout from the web-app and (2) investigate the social-cognitive factors that predict self-reported communication behavior after having used the web-app.

METHODS

In this study, 1187 pregnant women were recruited. They all started to use a theory-based web-app focusing on intention, planning, self-efficacy, and outcome expectancy to improve communication behavior. Mechanisms of behavior change as a result of exposure to the web-app were explored using stepwise regression and path analysis. Moreover, determinants of dropout were tested using logistic regression.

RESULTS

We found that dropout was associated with younger age (P=.014). Mechanisms of behavior change were consistent with the predictions of the health action process approach. The stepwise regression analysis revealed that action planning was the best predictor for successful behavioral change over the course of the app-based digital intervention (β=.331; P<.001). The path analyses proved that self-efficacy beliefs affected the intention to communicate effectively, which in turn, elicited action planning and thereby improved communication behavior (β=.017; comparative fit index=0.994; Tucker-Lewis index=0.971; root mean square error of approximation=0.055).

CONCLUSIONS

Our findings can guide the development and improvement of apps addressing communication behavior in the following ways in obstetric care. First, such tools would enable action planning to improve communication behavior, as action planning is the key predictor of behavior change. Second, younger women need more attention to keep them from dropping out. However, future research should build upon the gained insights by conducting similar internet interventions in related fields of clinical care. The focus should be on processes of behavior change and strategies to minimize dropout rates, as well as replicating the findings with patient safety measures.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT03855735; https://classic.clinicaltrials.gov/ct2/show/NCT03855735.

Therapist perspectives on telehealth-based virtual reality exposure therapy

Virtual reality (VR) can enhance mental health care. In particular, the effectiveness of VR-based exposure therapy (VRET) has been well-demonstrated for treatment of anxiety disorders. However, most applications of VRET remain localized to clinic spaces. We aimed to explore mental health therapists' perceptions of telehealth-based VRET (tele-VRET) by conducting semi-structured, qualitative interviews with 18 telemental health therapists between October and December 2022. Interview topics included telehealth experiences, exposure therapy over telehealth, previous experiences with VR, and perspectives on tele-VRET. Therapists described how telehealth reduced barriers (88.9%, 16/18), enhanced therapy (61.1%, 11/18), and improved access to clients (38.9%, 7/18), but entailed problems with technology (61.1%, 11/18), uncontrolled settings (55.6%, 10/18), and communication difficulties (50%, 9/18). Therapists adapted exposure therapy to telehealth by using online resources (66.7%, 12/18), preparing client expectations (55.6%, 10/18), and adjusting workflows (27.8%, 5/18). Most therapists had used VR before (72.2%, 13/18) and had positive impressions of VR (55.6%, 10/18), but none had used VR clinically. In response to tele-VRET, therapists requested interactive session activities (77.8%, 14/18) and customizable interventions components (55.6%, 10/18). Concerns about tele-VRET included risks with certain clients (77.8%, 14/18), costs (50%, 9/18), side effects and privacy (22.2%, 4/18), and inappropriateness for specific forms of exposure therapy (16.7%, 3/18). These results reveal how combining telehealth and VRET may expand therapeutic options for mental healthcare providers and can help inform collaborative development of immersive health technologies.

Digital health interventions for suicide prevention among LGBTQ: A narrative review

Background

Suicidal thoughts and behaviors (STBs) are prevalent within the Lesbian, Gay, Bisexual, Transgender, and Queers (LGBTQ) community, often exacerbated by challenges in accessing care and the perceived stigma and discrimination tied to disclosing one's identity. Digital health interventions that offer psychosocial self-help present a promising platform to reach individuals at risk of STBs, especially those who may not engage with conventional health services. This review aimed to assess the role of digital-based intervention in reducing STBs among LGBTQ individuals.

Methods

We conducted a systematic literature search from three databases, PsycINFO, PubMed, and CINHAL, from 1st Jan 1990 to 31st December 2023. The review encompassed studies investigating the feasibility, acceptability, and impact of digital interventions on STBs, employing randomized control trials (RCTs), pseudo-RCTs, observational pre-posttest designs, and qualitative studies. Potential bias was evaluated using the McGill Mixed Methods Appraisal Tool (MMAT).

Results

Five non-overlapping studies were included, reporting data from 777 participants. The studies featured diverse types of digital interventions, including videos, online writing, and mobile applications. The studies included three RCTs, and two qualitative studies. Across most of these studies, notable enhancements or reductions in the proportion of participants reporting STBs were observed post-intervention, alongside improvements in help-seeking intentions. The findings underscored that the applications used in the studies were engaging, acceptable, and deemed feasible in effectively addressing suicide prevention among the LGBTQ community.

Conclusion

Overall, digital interventions were found to be feasible and acceptable in suicide prevention among LGBTQ communities, demonstrating preliminary efficacy in increasing help-seeking behavior when experiencing suicidal thoughts and in reducing STBs. Therefore, advocating for widespread promotion and dissemination of digital health interventions is crucial, particularly in low- and middle-income countries (LMICs) with limited access to health services and heightened barriers to obtaining such services. Further research using fully powered RCT is imperative to assess the efficacy of these interventions.

How effective are digital/e-health interventions for supporting prisoners with mental ill-health? An integrative review

PURPOSE

There has been a move towards the implementation of digital/e-health interventions for some time. Digital/e-health interventions have demonstrable efficacy in increasing individual empowerment, providing timely access to psychological interventions for those experiencing mental ill-health and improving outcomes for those using them. This study aims to determine the efficacy of digital/e-health interventions for individuals detained in prison who experience mental ill-health.

DESIGN/METHODOLOGY/APPROACH

A systematic search of five academic databases - CINAHL, ASSIA, PsycINFO, Embase and Medline - was completed in December 2020 and updated in February 2022. The review was guided by the Whittemore and Knafl (2005) framework for integrative reviews. A total of 6,255 studies were returned and screened by title and abstract. A full-text screening of nine (n = 9) studies was conducted.

FINDINGS

No study met the inclusion criteria for the clinical efficacy of digital/e-health interventions in a prison setting. Subsequently, a review of the literature that made it to the full-text review stage was conducted, and gaps in the literature were identified to inform policy, practice and future research.

ORIGINALITY/VALUE

To the best of the authors' knowledge, this is the first integrative review conducted on the efficacy of digital/e-health interventions for mental ill-health in prison settings.

Mental health service users' experiences of telehealth interventions facilitated during the COVID-19 pandemic and their relevance to nursing: An integrative review

WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: Service users report telehealth interventions to be useful in terms of access and convenience however, a preference for face-to-face interventions remains. Nurses are using telehealth interventions in clinical practice however, further research is necessary in this area as the evidence of their involvement is limited. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: This paper highlights the use of telehealth interventions should augment rather than replace face-to-face care provision.

ABSTRACT

INTRODUCTION: The Covid-19 pandemic saw the swift implementation of physical and social distancing that impacted the way in which mental health services were facilitated. Consequently, telehealth/e-health interventions are increasing in use.

AIM

This integrative review aims to explore existing literature regarding mental health service users' experiences of telehealth interventions facilitated through the COVID-19 pandemic, to determine the visibility of nursing involvement in the facilitation of telehealth interventions and to use these experiences to inform nursing practice.

METHOD

A methodical search of eight (n = 8) academic databases was undertaken using CINAHL, SCOPUS, EMBASE, PsycINFO, Web of Science, Cochrane, MEDLINE and Academic Search Complete between January 2020 and January 2022.

RESULTS

A total of 5133 papers were screened by title and abstract of which (n = 77) progressed for full-text screening. Five (n = 5) papers met the inclusion criteria for this review and results were mapped onto the four meta-paradigms of nursing: person; where the findings discuss the acceptability of telehealth interventions; environment; where the findings highlight barriers and facilitators to the use of telehealth interventions; health; where the findings discuss staff time and logistical issues relating to telehealth interventions and nursing; where the findings centre around the therapeutic relationship.

DISCUSSION

This review highlights there is a paucity of direct evidence relating to nursing involvement in the facilitation of telehealth interventions. However, there are benefits to the use of telehealth interventions that include increased access to services, less perceived stigma and increased engagement which are relevant to nursing practice. A lack of individual contact and concerns relating to infrastructure indicates a fondness for face-to-face interventions remains high.

IMPLICATIONS FOR PRACTICE

There is a need for further research on the role of the nurse in the facilitation of telehealth interventions, specific interventions used and outcomes of such interventions.

Effects and Mechanisms of a Web- and Mobile-Based Acceptance and Commitment Therapy Intervention for Anxiety and Depression Symptoms in Nurses: Fully Decentralized Randomized Controlled Trial

BACKGROUND

Acceptance and commitment therapy (ACT) is a promising intervention for improving mental health. However, there is limited evidence on its effectiveness for nurses, particularly in web- and mobile-based intervention forms, in mitigating anxiety and depression symptoms.

OBJECTIVE

In this study, we aimed to examine the effect and underlying psychological mechanisms of a web- and mobile-based ACT intervention on nurses' anxiety and depression symptoms.

METHODS

In this fully decentralized randomized controlled trial, nurses were recruited nationwide across China through advertisements and posters. They were randomly assigned to either the 5-week fully automated intervention or the waiting group. Primary outcomes (anxiety and depression symptoms); secondary outcomes (sleep quality, burnout, and work performance); and mediators (psychological flexibility, cognitive defusion, mindfulness, and values) were assessed using the Wenjuanxing platform. Data collectors were blinded to the group assignments throughout the study period.

RESULTS

A total of 145 nurses with anxiety or depression symptoms were randomly assigned to either the intervention group (n=72, 49.7%) or the control group (n=73, 50.3%); 97.2% (n=141) were female. During the study, 36 (24.8%) nurses were lost to follow-up, and 53 (73.6%) completed the entire intervention. Nurses in the intervention group showed significant improvement in anxiety (d=0.67, 95% CI 0.33-1.00) and depression symptoms (d=0.58, 95% CI 0.25-0.91), and the effects were sustained for 3 months after the intervention (anxiety: d=0.55, 95% CI 0.22-0.89; depression: d=0.66, 95% CI 0.33-1.00). Changes in psychological flexibility, cognitive defusion, and values mediated the effect of the intervention on anxiety and depression symptoms, while mindfulness did not have a mediating effect.

CONCLUSIONS

The web- and mobile-based ACT intervention used in this study significantly improved nurses' anxiety and depression symptoms by improving psychological flexibility, cognitive defusion, and values. The results provide new ideas for hospital administrators to prevent and intervene in nurses' psychological issues.

TRIAL REGISTRATION

Chinese Clinical Trial Register ChiCTR2200059218; https://tinyurl.com/4mb4t5y9.

Home Visitation Program Staff Attitudes and Intentions Towards Using Digital Technology to Educate Families About Preventing Early Childhood Obesity: A Qualitative Study

INTRODUCTION

Home visitation programs that reach families of young children offer a unique opportunity for large-scale early childhood obesity prevention efforts. The objective of this qualitative research was to determine stakeholder attitudes, subjective norms, perceived ease of use and usefulness, behavioral control, and behavioral intentions towards utilizing technology in a home visitation program targeting early childhood obesity prevention.

METHODS

Staff from the Florida Maternal, Infant, and Early Childhood Home Visiting Program (n = 27) were interviewed individually by a trained research assistant using a semi-structured script based on constructs from the Technology Acceptance Model and Theory of Planned Behavior. Demographic and technology use information were collected. Interviews were recorded and transcribed verbatim, with data extracted and coded by two trained researchers using a theoretical thematic analysis approach.

RESULTS

Most of the home visiting staff (78%) were white and non-Hispanic and employed for an average of 5 years with the program. Most staff (85%) indicated they were currently using videoconferencing for home visits. Themes and subthemes emerged, including positive attitudes towards technology as a flexible and time-efficient program alternative for childhood obesity prevention with recommendations to keep content short, at a low literacy level, and available in more than one language for ease of use. Participants recommended developing training tutorials to improve program implementation. Internet access and potential social disconnect were cited as concerns for using technology.

DISCUSSION

Overall, home visitation staff had positive attitudes and intentions for using technology in home visiting programs with families for early childhood obesity prevention.

Preventing alcohol use post-bariatric surgery: patient perspectives on a technology-based approach

BACKGROUND

Nearly two-thirds of patients engage in alcohol use after bariatric surgery, while a substantial number meet criteria for alcohol use disorder after their procedure. Given that pre-surgical education may not be sufficient, alternative methods of preventing post-surgical drinking are needed. We sought feedback on a proposed technology-based intervention to reduce alcohol use for individuals who have undergone bariatric surgery.

METHODS

Twenty patients who consumed alcohol post-surgery completed qualitative interviews where they provided opinions on sample intervention content, delivery method, timing, and other aspects of a two-session web-based intervention followed by tailored text messaging for 6 months. Interviews were recorded, transcribed, and coded using thematic analysis principles.

RESULTS

Participants strongly endorsed using technology to deliver an alcohol intervention, citing the interactivity and personal tailoring available in the proposed software. Education about the effects of post-surgical drinking and learning new coping strategies for social situations were the two most salient themes to emerge from questions about intervention content. Throughout the interviews, participants strongly highlighted the importance of measuring patient readiness to change alcohol use and matching intervention content to such motivation levels. Respondents felt that text messages could extend what they had learned, but also requested additional non-alcohol content (e.g., recipes, exercise tips). Most participants agreed that an online forum consisting of peers and professionals with whom they could ask questions and interact would be useful.

CONCLUSION

Web- and text message-based interventions may be an acceptable approach to prevent alcohol use post-bariatric surgery.

User Engagement Clusters of an 8-Week Digital Mental Health Intervention Guided by a Relational Agent (Woebot): Exploratory Study

BACKGROUND

With the proliferation of digital mental health interventions (DMHIs) guided by relational agents, little is known about the behavioral, cognitive, and affective engagement components associated with symptom improvement over time. Obtaining a better understanding could lend clues about recommended use for particular subgroups of the population, the potency of different intervention components, and the mechanisms underlying the intervention's success.

OBJECTIVE

This exploratory study applied clustering techniques to a range of engagement indicators, which were mapped to the intervention's active components and the connect, attend, participate, and enact (CAPE) model, to examine the prevalence and characterization of each identified cluster among users of a relational agent-guided DMHI.

METHODS

We invited adults aged 18 years or older who were interested in using digital support to help with mood management or stress reduction through social media to participate in an 8-week DMHI guided by a natural language processing-supported relational agent, Woebot. Users completed assessments of affective and cognitive engagement, working alliance as measured by goal and task working alliance subscale scores, and enactment (ie, application of therapeutic recommendations in real-world settings). The app passively collected data on behavioral engagement (ie, utilization). We applied agglomerative hierarchical clustering analysis to the engagement indicators to identify the number of clusters that provided the best fit to the data collected, characterized the clusters, and then examined associations with baseline demographic and clinical characteristics as well as mental health outcomes at week 8.

RESULTS

Exploratory analyses (n=202) supported 3 clusters: (1) "typical utilizers" (n=81, 40%), who had intermediate levels of behavioral engagement; (2) "early utilizers" (n=58, 29%), who had the nominally highest levels of behavioral engagement in week 1; and (3) "efficient engagers" (n=63, 31%), who had significantly higher levels of affective and cognitive engagement but the lowest level of behavioral engagement. With respect to mental health baseline and outcome measures, efficient engagers had significantly higher levels of baseline resilience (P<.001) and greater declines in depressive symptoms (P=.01) and stress (P=.01) from baseline to week 8 compared to typical utilizers. Significant differences across clusters were found by age, gender identity, race and ethnicity, sexual orientation, education, and insurance coverage. The main analytic findings remained robust in sensitivity analyses.

CONCLUSIONS

There were 3 distinct engagement clusters found, each with distinct baseline demographic and clinical traits and mental health outcomes. Additional research is needed to inform fine-grained recommendations regarding optimal engagement and to determine the best sequence of particular intervention components with known potency. The findings represent an important first step in disentangling the complex interplay between different affective, cognitive, and behavioral engagement indicators and outcomes associated with use of a DMHI incorporating a natural language processing-supported relational agent.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05672745; https://classic.clinicaltrials.gov/ct2/show/NCT05672745.

Therapist perspectives on telehealth-based virtual reality exposure therapy

Virtual reality (VR) can enhance mental health care. In particular, the effectiveness of VR-based exposure therapy (VRET) has been well-demonstrated for treatment of anxiety disorders. However, most applications of VRET remain localized to clinic spaces. We aimed to explore mental health therapists' perceptions of telehealth-based VRET (tele-VRET) by conducting semi-structured, qualitative interviews with 18 telemental health therapists between October and December 2022. Interview topics included telehealth experiences, exposure therapy over telehealth, perceptions of VR in therapy, and perspectives on tele-VRET. Therapists described how telehealth reduced barriers (88.9%, 16/18), enhanced therapy (61.1%, 11/18), and improved access to clients (38.9%, 7/18), but entailed problems with technology (61.1%, 11/18), uncontrolled settings (55.6%, 10/18), and communication di culties (50%, 9/18). Therapists adapted exposure therapy to telehealth by using online resources (66.7%, 12/18), preparing client expectations (55.6%, 10/18), and adjusting workflows (27.8%, 5/18). Most therapists had used VR before (72.2%, 13/18) and had positive impressions (55.6%, 10/18), but none had used VR clinically. In response to tele-VRET, therapists requested interactive session activities (77.8%, 14/18) and customizable interventions components (55.6%, 10/18). Concerns about tele-VRET included risks with certain clients (77.8%, 14/18), costs (50%, 9/18), side effects and privacy (22.2%, 4/18), and inappropriateness for specific forms of exposure therapy (16.7%, 3/18). These results show how designing for telehealth may extend VRET and can help inform collaborative development of health technologies.

Development of the Support self-guided, web application for adults living with type 1 diabetes in Canada by a multi-disciplinary team using a people-oriented approach based on the Behaviour Change Wheel

Background

Diabetes self-management education and support (DSME/S) are central in type 1 diabetes (T1D) where individuals are responsible for 95% of care. In-person DSME/S programs have been proven clinically effective (e.g. optimizing glycemic management, improving diabetes-related behaviors) but are limited by a lack of accessibility and long-term follow-up. Self-guided digital tools such as web applications (web apps) can be an alternative for delivering DSME/S.

Objective

This article describes the development of Support, a behavioral theory-based, self-guided, web application for adults living with T1D in the province of Quebec, Canada.

Methods

A multi-disciplinary team developed Support. Patient partners first proposed its focus, learning topics, and expressed barriers to using digital tools for DSME/S. These barriers were analyzed based on the Behaviour Change Wheel. A group of healthcare professionals (HCPs) drafted the evidence-based learning content which was reviewed by external HCPs and by patient partners.

Results

Support is a bilingual (English and French) web app accessible at any time via the Internet. It has four learning paths focusing on hypoglycemia and based on the user's method of diabetes treatment. Learning modules are divided into six categories with a maximum of three learning levels. It contains features such as a discussion forum, videos, and quizzes to ensure interactivity, provide social support, and maintain the motivation and long-term engagement of users.

Conclusions

To the best of the authors' knowledge, Support is the first self-guided evidence-based web app for adults living with T1D. It is currently under study to evaluate its feasibility and clinical impacts.

Evaluation of Support, a self-guided online type 1 diabetes self-management education and support web application-a mixed methods study

Background

Type 1 diabetes requires making numerous daily decisions to maintain normoglycemia. Support is an evidence-based self-guided web application for type 1 diabetes diabetes self-management.

Objective

Evaluate users' satisfaction with Support and investigate changes in self-reported frequency of-, fear of- hypoglycemia, and diabetes-related self-efficacy.

Methods

Adults from a Quebec type 1 diabetes registry used Support. Data was collected through online surveys or extracted from the registry at 0, 6, and 12 months (number of episodes and fear of hypoglycemia). At 6 months, participants reported satisfaction with Support and diabetes-related self-efficacy. A sub-group of 16 users was interviewed about their experience. Transcripts were analyzed using inductive and deductive approaches.

Results

In total, 207 accounts were created (35% men, 96% White, mean age and diabetes duration: 49.3 ± 13.8 and 25.2 ± 14.7 years). At 6 months, the median [Q1; Q3] satisfaction was 40/49 [35; 45] with a mean decrease in hypoglycemia frequency of 0.43 episodes over 3 days (95% CI: -0.86; 0.00, p = 0.051) and of -1.98 score for fear (95% CI: -3.76; -0.20, p = 0.030). Half of the participants reported increased diabetes-related self-efficacy.

Conclusions

Participants reported a high level of satisfaction with Support. Its use has the potential to facilitate hypoglycemia management and increase diabetes-related self-efficacy.

Trial registration

This study is registered on ClinicalTrials.gov NCT04233138.

Barriers and Considerations in the Design and Implementation of Digital Behavioral Interventions: Qualitative Analysis

Background

Digital behavioral interventions have become increasingly popular for their ability to support patient diagnosis and treatment, chronic disease self-management, behavior change, and adherence to recommended care. However, digital intervention development is impeded by challenges such as limited technical skills, limited access to developers, and cost. The purpose of this study is to elicit in-depth qualitative feedback from intervention developers who have interest in digital behavioral interventions but lack programming skills regarding the barriers they experience and key considerations in the design and implementation of digital interventions.

Objective

This study aims to understand barriers in the design and implementation of digital behavioral interventions, as well as to identify key considerations for researchers who are developing these interventions.

Methods

We conducted semistructured qualitative interviews with 18 researchers who had experience either designing (but not coding) digital behavioral interventions or running research studies with them. Participants were a convenience sample of users of the Computerized Intervention Authoring System platform, an existing no-code development platform for building digital intervention content, and were recruited through either direct email solicitation or snowball sampling. All interviews were conducted and recorded over videoconference between February and April 2020. Recordings from interviews were transcribed and thematically analyzed by multiple coders.

Results

Interviews were completed with 18 participants and lasted between 24 and 65 (mean 46.9, SD 11.3) minutes. Interviewees were predominantly female (17/18, 94%) and represented different job roles, ranging from researcher to project/study staff. Three key barriers in the development of digital behavior interventions were identified during interviews: lack of cross-disciplinary understanding; variability in recipients’ technology access, infrastructure, and literacy; and the idea that evidence-based in-person interactions do not translate directly to digital interactions. Interviewees identified several key considerations that interventionists learned to prioritize, which have the potential to overcome these barriers and lead to successful interventions.

Conclusions

Barriers in the development of digital behavioral interventions are often created by a lack of cross-disciplinary understanding, which can lead to difficulties conceptualizing interventions, unrealistic expectations in terms of cost, and confusion about the development process. Moreover, concerns about research study participant characteristics and access to technology, as well as the translation of in-person interventions to digital, are apparent. Appropriate training in how to work with software development teams may help future digital behavior intervention creators overcome these barriers and may lead to new, exciting innovations in this space.