Barriers to the uptake of computerized cognitive behavioural therapy: a systematic review of the quantitative and qualitative evidence

Sociodemographic, Health, and Lifestyle-Related Characteristics Associated With the Commencement and Completion of a Web-Based Lifestyle Educational Program for People With Multiple Sclerosis: Randomized Controlled Trial

BACKGROUND

Digital health interventions increase access to multiple sclerosis (MS)-related knowledge for people living with MS; however, our understanding of factors associated with engagement in web-based learning is limited.

OBJECTIVE

This study aims to examine associations between participant sociodemographic, health, and lifestyle-related characteristics and the commencement and completion of the Multiple Sclerosis Online Course (MSOC) in a randomized controlled trial (RCT).

METHODS

An intervention course was developed based on the Overcoming MS Program-an evidence-based lifestyle modification program for MS, and a standard care course was developed based on international MS website information. An RCT was conducted to compare the effectiveness of the intervention course versus the standard care course in improving health outcomes in people living with MS. Participant data were collected from a baseline survey. Associations between baseline participant characteristics and MSOC commencement and completion, respectively, were assessed using multivariate log-binomial regression.

RESULTS

Overall, 1893 participants enrolled in the RCT, and 45.27% (n=857) completed the baseline survey: 23.5% (n=444) in the intervention course and 21.8% (n=413) in the standard care course. Of these 857 participants, 631 (73.6%) commenced the standard care course or intervention course, and 49.1% (218/444) and 54.2% (224/413) completed the intervention course and standard care course, respectively. University education, partnered relationship status, and higher mental and physical quality of life were associated with 19%, 12%, 20%, and 22% higher rates of course commencement, respectively. Clinically significant fatigue was associated with a 10% reduction in the likelihood of commencement. Strongest associations with intervention course completion included middle and older adulthood, male sex, fatigue, and preexisting adherence to a diet program, with 96%, 27%, 24%, and 19% higher rates of completion observed, respectively, whereas higher self-efficacy was associated with up to 35% lower intervention course completion. Associations with standard care course completion included practicing meditation (20% higher completion), whereas employment was associated with 22% lower completion.

CONCLUSIONS

Sociodemographic and clinical factors, as well as lifestyle-related factors, were important factors in MSOC commencement and completion. These data may help guide the design and enhancement of digital health interventions tailored for people living with MS.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12621001605886; https://tinyurl.com/2vyve9p9.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12883-023-03298-0.

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.

Association between expectations and clinical outcomes in online v. face-to-face therapy - an individual participant data meta-analysis

BACKGROUND

Online treatments are increasing in number and are currently available for a wide range of clinical problems. To date little is known about the role of treatment expectations and other placebo-like mechanisms in online settings compared to traditional face-to-face treatment. To address this knowledge gap, we analyzed individual participant data from randomized clinical trials that compared online and face-to-face psychological interventions.

METHODS

MEDLINE (Ovid) and PsycINFO (Ovid) were last searched on 2 February 2021. Randomized clinical trials of therapist guided online v. face-to-face psychological interventions for psychiatric or somatic conditions using a randomized controlled design were included. Titles, abstracts, and full texts of studies were independently screened by multiple observers. The Preferred Reporting Items for Systematic Reviews and Meta-analyses guideline was followed. Authors of the matching trials were contacted for individual participant data. Ratings from the Credibility and Expectancy Questionnaire and the primary outcome measure from each trial were used to estimate the association between expectation ratings and treatment outcomes in online v. face-to-face interventions, using a mixed-effects model.

RESULTS

Of 7045 screened studies, 62 full-text articles were retrieved whereof six studies fulfilled the criteria and provided individual participant data (n = 491). Overall, CEQ ratings predicted clinical outcomes (β = 0.27) at end of treatment with no moderating effect of treatment modality (online v. face-to-face).

CONCLUSIONS

Online treatment appears to be equally susceptible to expectancy effects as face-to-face therapy. This furthers our understanding of the importance of placebo-like factors in online treatment and may aid the improvement of healthcare in online settings.

Efficacy of non-pharmacological interventions for sleep quality in Parkinson's disease: a systematic review and network meta-analysis

Background

Sleep disorders are one of the most common non-motor symptoms in PD. It can cause a notable decrease in quality of life and functioning in PD patients, as well as place a huge burden on both patients and caregivers. Currently, there are numerous non-pharmacological interventions available to improve sleep quality in PD, with disagreement as to which intervention is most effective. This network meta-analysis was performed to compare and rank non-pharmacological interventions to explore their efficacy in improving sleep quality in PD and to select the best interventions, with a view to providing references and bases for the development of clinical treatments and care programs.

Methods

The PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science, China National Knowledge Infrastructure (CNKI), and Wanfang databases were searched from inception to December 6, 2023. Two authors independently screened all studies, extracted the data, and evaluated risk of bias of included studies. STATA software version 17.0 was used to conduct the network meta-analysis.

Results

Our network meta-analysis included 29 studies involving 1,477 participants and 16 non-pharmacological interventions. Although most nonpharmacological interventions showed non-significant effects, the surface under the cumulative ranking curve (SUCRA) values indicated that the best non-pharmacological intervention for sleep disorders was massage therapy (97.3%), followed by music therapy (94.2%), and Treadmill training (85.7%).

Conclusion

Massage therapy can be considered as an effective therapy for improving sleep quality in patients with PD. Due to limited quantity and quality of the included studies, more high quality studies are required to verify the conclusions of this network meta-analysis.

Systematic review registration

identifier CRD42023429339, PROSPERO (york.ac.uk).

Patient and Therapist Perceptions of a Publicly Funded Internet-Based Cognitive Behavioral Therapy (iCBT) Program for Ontario Adults During the COVID-19 Pandemic: Qualitative Study

BACKGROUND

To address the anticipated rise in mental health symptoms experienced at the population level during the COVID-19 pandemic, the Ontario government provided 2 therapist-assisted internet-delivered cognitive behavioral therapy (iCBT) programs to adults free of charge at the point of service.

OBJECTIVE

The study aims to explore the facilitators of and barriers to implementing iCBT at the population level in Ontario, Canada, from the perspective of patients and therapists to better understand how therapist-assisted iCBT programs can be effectively implemented at the population level and inform strategies for enhancing service delivery and integration into the health care system.

METHODS

Using a convenience sampling methodology, semistructured interviews were conducted with 10 therapists who delivered iCBT and 20 patients who received iCBT through either of the publicly funded programs to explore their perspectives of the program. Interview data were analyzed using inductive thematic analysis to generate themes.

RESULTS

Six salient themes were identified. Facilitators included the therapist-assisted nature of the program; the ease of registration and the lack of cost; and the feasibility of completing the psychoeducational modules given the online and self-paced nature of the program. Barriers included challenges with the online remote modality for developing the therapeutic alliance; the program's generalized nature, which limited customization to individual needs; and a lack of formal integration between the iCBT program and the health care system.

CONCLUSIONS

Although the program was generally well-received by patients and therapists due to its accessibility and feasibility, the digital format of the program presented both benefits and unique challenges. Strategies for improving the quality of service delivery include opportunities for synchronous communication between therapists and patients, options for increased customization, and the formal integration of iCBT into a broader stepped-care model that centralizes patient referrals between care providers and promotes continuity of care.

Internet-based cognitive behaviour therapy for the prevention, treatment and relapse prevention of eating disorders: A systematic review and meta-analysis

Eating disorders (EDs) are undertreated worldwide. In the UK the lag between recognition of symptoms and treatment ranges from about 15 months to in excess of 2 years. Internet-based cognitive behaviour therapy (ICBT) could be a viable alternative to face-to-face cognitive behaviour therapy (CBT) that avoids the negative impacts of delayed interventions. Based on evidence from randomised controlled trials (RCTs), this systematic review investigated the efficacy of minimally guided self-help ICBT, without face-to-face therapy, for the prevention, treatment and relapse prevention of all types of EDs in adults. The electronic databases MEDLINE, PsychINFO, CENTRAL, Scopus, and Web of Science were searched between 1991 and 2021. Inclusion criteria specified RCTs with ICBT versus inactive comparison groups. The Cochrane Risk of Bias Tool-2 was used for quality assessments. Qualitative synthesis and meta-analyses were conducted. Findings typically showed medium significant beneficial effect sizes for prevention studies ranging from (-0.31 [95% CI: -0.57, -0.06] to -0.47 [95% CI: -0.82, -0.11]) and generally large effect sizes for the treatment studies ranging from (-0.30 [95% CI: -0.57, -0.03] to -1.11 [95% CI: -1.47, -0.75]). Relapse prevention studies yielded mainly small non-significant beneficial effects with significant effect sizes of (-0.29 [95% CI: -0.56, -0.03] and -0.43 [95% CI: -0.70, -0.16]). Only the treatment studies reached clinical significance and cognitive symptoms improved more than behavioural symptoms. ICBT appears to be efficacious for the prevention, treatment and relapse prevention of eating disorders with treatment interventions being the most beneficial. However, the evidence base is very small, particularly for treatment and relapse prevention, indicating the need for more high-quality RCTs.

Virtual agents among participants with methamphetamine use disorders: Acceptability and usability study

INTRODUCTION

While the potential future role of virtual agents (VAs) in treating addiction is promising, participants' attitudes toward the use of VAs in psychotherapy remain insufficiently investigated. This lack of investigation could pose barriers to the adoption of VA-led psychotherapy for people with substance use disorders (SUD). This research aims to explore the acceptability and usability of VAs for people with methamphetamine use disorder.

METHODS

Following a single session of psychotherapy led by VAs through the Echo-app, a group of 49 individuals actively seeking treatment for current DSM-V substance dependence (with a mean age of 39.06 ± 8.02) completed self-administered questionnaires and participated in focus group interviews. These questionnaires aimed to investigate participants' preference regarding the type of psychotherapy and their willingness to engage in VA-led psychotherapy, taking into account their diverse psychological needs.

RESULTS

Quantitative data were subjected to analysis through both descriptive and inferential statistical methods. Interestingly, participants exhibited a significantly higher acceptability for traditional face-to-face psychotherapy compared to email-based psychotherapy (p = 0.042), but there was no statistically significant difference between their acceptance of traditional psychotherapy and VA-led psychotherapy (p = 0.059). The questionnaire outcomes indicated participants' willingness to engage in VA-led psychotherapy for purposes such as relapse prevention intervention, addressing emotional issues, managing somatic experiences, and facilitating social and family functional recovery. Furthermore, the participants' attitudes toward VA-led psychotherapy were predicted by factors including the need for anxiety-focused psychotherapy (p = 0.027; OR [95%CI] = 0.14[0.03,0.80]), the presence of chronic somatic diseases (p = 0.017; OR [95%CI] = 13.58[1.59,116.03]), and marital status (p = 0.031; OR [95%CI] = 5.02[1.16,21.79]).

DISCUSSION

Through the interviews, the study uncovered the factors that either supported or hindered participants' experiences with VA-led psychotherapy, while also gathering suggestions for future improvements. This research highlights the willingness and practicality of individuals with SUD in embracing VA-led psychotherapy. The findings are anticipated to contribute to the refinement of VA-led tools to better align with the preferences and needs of the users.

Acceptability and usability of a WeChat-based intervention for depression in China: A mixed-methods study

Background

As research on the use of mobile technology to deliver mental health support grows, the research from China is still very limited. How to design an acceptable and usable mobile mental health service model suitable for China's social and cultural environment remains to be studied.

Objective

To understand the acceptability and usability of a WeChat-based intervention among Chinese patients with depression, and to provide insights to promote future development of user-centered mobile mental health services design.

Methods

The research team developed a multi-theoretical intervention that includes seven modules: recovery lessons, recovery journal, coaching sessions, mindfulness, personalized support, regular assessments and feedback collection. Forty-two patients diagnosed with depressive disorder were recruited, with a mixed sample of patients who were using an antidepressant medication (n = 29) and patients who were not using an antidepressant medication (n = 13). A single-arm mixed-methods study was conducted to understand engagement, satisfaction, usability and potential clinical effectiveness of the intervention.

Results

There was a retention rate of 83.33% - 22 participants who used an antidepressant medication and 13 participants who did not use an antidepressant medication completed the final assessments. The median (upper quartile-lower quartile) of the completed 60 recovery journals and 7 coaching sessions was 56 (59-46) and 6 (7-4) times, respectively. Participants' satisfaction regarding their recovery progress, and on perceived helpfulness on different modules were high. The overall score of the user version of the Mobile Application Rating Scale was 4.23 (SD 0.44, range 1-5), indicating high acceptability and usability. Qualitative feedback identified three key themes: an efficient access to professional help, a personalized source of social support, and a facilitator of cognitive and behavioral change.

Conclusions

This study demonstrated that a WeChat-based intervention for depression was acceptable, and has the potential to promote personal recovery. More studies are needed to understand the efficacy and implementation of this model in real world.

Dropout or Drop-In Experiences in an Internet-Delivered Intervention to Prevent Depression and Enhance Subjective Well-Being During the Perinatal Period: Qualitative Study

Background

The perinatal period is a vulnerable time when women are at increased risk of depression. "Mamma Mia" is a universal preventive internet-delivered intervention offered to pregnant women, with the primary goals of preventing the onset or worsening of depression and enhancing subjective well-being during the perinatal period. However, treatment dropout from internet-delivered interventions is often reported.

Objective

The study aim was to acquire an understanding of the different experiences among participants who dropped out of the Mamma Mia intervention during pregnancy, compared to participants who dropped out during the postpartum follow-up phase.

Methods

A total of 16 women from a larger randomized controlled trial (Mamma Mia) participated in individual semistructured interviews following a strengths, weaknesses, opportunities, and threats format. Of the 16 participants included, 8 (50%) women dropped out early from the intervention during pregnancy (pregnancy group), whereas 8 (50%) women dropped out later, after giving birth (postpartum follow-up group). Data were analyzed using the framework approach.

Results

The results showed that there were differences between the groups. In general, more participants in the postpartum follow-up group reported that the program was user-friendly. They became more aware of their own thoughts and feelings and perceived that the program had provided them with more new knowledge and practical information than participants in the pregnancy group. Participants in both groups suggested several opportunities for improving the program.

Conclusions

There were differences between women who dropped out of the intervention during pregnancy and the postpartum follow-up phase. The reported differences between groups should be further examined.

Use of tailoring features and reasons for dropout in a guided internet-based transdiagnostic individually-tailored cognitive behavioral therapy for symptoms of depression and/or anxiety in college students

Transdiagnostic individually-tailored digital interventions reduce symptoms of depression and anxiety in adults with moderate effects. However, research into these approaches for college students is scarce and contradicting. In addition, the exact reasons for intervention dropout in this target group are not well known, and the use of individually-tailored intervention features, such as optional modules, has not yet been explored. The current study aimed to (1) investigate reasons for dropout from a guided internet-based transdiagnostic individually-tailored intervention for college students assessed in a randomized controlled trial (RCT) and (2) evaluate whether participants used tailoring features intended for their baseline symptoms. A sample of college students with mild to moderate depression and/or anxiety symptoms (n = 48) in the Netherlands (partially) followed a guided internet-based transdiagnostic individually-tailored intervention. We contacted those who did not complete the entire intervention (n = 29) by phone to report the reasons for intervention dropout. Further, we descriptively explored the use of tailoring features (i.e., depression versus anxiety trajectory) and optional modules of the intervention in the whole sample. We identified a range of person- and intervention-related reasons for intervention dropout, most commonly busy schedules, needs for different kinds of help, or absence of personal contact. Furthermore, only less than half of the participants used the individually-tailoring features to address the symptoms they reported as predominant. In conclusion, digital interventions clear about the content and targeted symptoms, tested in user research could prevent dropout and create reasonable expectations of the intervention. Participants would benefit from additional guidance when using tailoring features of digital interventions, as they often do not choose the tailoring features targeting their baseline symptoms.

Exploring reasons for usage discontinuation in an internet-delivered stress recovery intervention: A qualitative study

Internet-delivered cognitive behavioral therapy (ICBT) interventions can be as effective as traditional face-to-face therapy for various mental health conditions. However, a significant challenge these online interventions face is the high rate of people who start but then stop using the program. This early discontinuation can be seen as incomplete treatment and can reduce the potential benefits for users. By exploring why people stop using ICBT programs, we can better understand how to address this problem. This study aimed to examine the experiences of healthcare workers who had stopped using a therapist-guided internet-delivered stress recovery program to gain deeper insights into usage attrition. We conducted semi-structured interviews with twelve participants who were female healthcare workers ranging in age from 24 to 68 years (M = 44.67, SD = 11.80). Telephone interviews were conducted and the data were transcribed and analyzed using thematic analysis. Qualitative data analysis revealed that most participants had multiple reasons for discontinuing the program. They identified both barriers and facilitators to using the program, which could be categorized as either personal or program related. Personal aspects included life circumstances, personal characteristics, and psychological responses to the program. Program-related aspects encompassed technical factors, program content, and the level of support provided. The findings of this study can enhance our understanding of why people stop using guided internet-delivered programs. We discuss the practical and research implications, with the ultimate aim of improving the design and efficacy of internet interventions.

A Guided, Internet-Based Stress Management Intervention for University Students With High Levels of Stress: Feasibility and Acceptability Study

BACKGROUND

Transitioning to adulthood and challenges in university life can result in increased stress levels among university students. Chronic and severe stress is associated with deleterious psychological and physiological effects. Digital interventions could succeed in approaching and helping university students who might be at risk; however, the experiences of students with internet-based stress management interventions are insufficiently understood.

OBJECTIVE

This study aims to explore the feasibility; acceptability; and changes in perceived stress, depressive symptoms, and quality of life from baseline to posttest assessment of a 5-session, internet-based stress management intervention guided by an e-coach, developed for university students experiencing high levels of stress.

METHODS

A single-arm study was conducted. Students were recruited from different channels, mainly from a web survey. Students were eligible if they (1) scored ≥20 on the Perceived Stress Scale-10, (2) were aged ≥18 years, and (3) were studying at one of the participating universities. Feasibility and acceptability of the intervention were investigated using several indications, including satisfaction (Client Satisfaction Questionnaire-8) and usability (System Usability Scale-10). We also investigated the indicators of intervention adherence using use metrics (eg, the number of completed sessions). Our secondary goal was to explore the changes in perceived stress (Perceived Stress Scale-10), depressive symptoms (Patient Health Questionnaire-9), and quality of life (EQ-5D-5L scale) from baseline to posttest assessment. In addition, we conducted semistructured interviews with intervention completers and noncompleters to understand user experiences in depth. For all primary outcomes, descriptive statistics were calculated. Changes from baseline to posttest assessment were examined using 2-tailed paired sample t tests or the Wilcoxon signed rank test. Qualitative data were analyzed using thematic analysis.

RESULTS

Of 436 eligible students, 307 (70.4%) students started using the intervention. Overall, 25.7% (79/307) completed the core sessions (ie, sessions 1-3) and posttest assessment. A substantial proportion of the students (228/307, 74.3%) did not complete the core sessions or the posttest assessment. Students who completed the core sessions reported high satisfaction (mean 25.78, SD 3.30) and high usability of the intervention (mean 86.01, SD 10.25). Moreover, this group showed large reductions in perceived stress (Cohen d=0.80) and moderate improvements in depression score (Cohen d=0.47) and quality of life (Cohen d=-0.35) from baseline to posttest assessment. Qualitative findings highlight that several personal and intervention-related factors play a role in user experience.

CONCLUSIONS

The internet-based stress management intervention seems to be feasible, acceptable, and possibly effective for some university students with elevated stress levels. However, given the high dropout rate and qualitative findings, several adjustments in the content and features of the intervention are needed to maximize the user experience and the impact of the intervention.

TRIAL REGISTRATION

Netherlands Trial Register 8686; https://onderzoekmetmensen.nl/nl/trial/20889.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1016/j.invent.2021.100369.

Changes in stress, burnout, and resilience associated with an 8-week intervention with relational agent "Woebot"

Background

Research investigating the potential for digital mental health interventions with integrated relational agents to improve mental health outcomes is in its infancy. By delivering evidence-based mental health interventions through tailored, empathic conversations, relational agents have the potential to help individuals manage their stress and mood, and increase positive mental health.

Aims

The aims of this study were twofold: 1) to assess whether a smartphone app delivering mental health support through a relational agent, Woebot, is associated with changes in stress, burnout, and resilience over 8 weeks, and 2) to identify demographic and clinical factors associated with changes in these outcomes.

Method

This exploratory, non-randomized, single-armed, open-labeled trial was conducted from May to July 2022. A total of 256 adults (mean age 39 ± 13.35; 72 % females) recruited through social media advertising enrolled in the study. Participants completed an 8-week intervention period during which they were invited to use a smartphone app called Woebot-LIFE that delivers cognitive behavioral therapy through a relational agent called "Woebot". Participant-reported measures of stress, burnout, and resilience were collected at Baseline, and Week 8. Changes in these outcomes during the study period were assessed. Bivariate and stepwise multiple regression modeling was used to identify sociodemographic and clinical factors associated with observed changes over the 8-week study period.

Results

Exposure to Woebot-LIFE was associated with significant reductions in perceived stress and burnout and significantly increased resilience over the 8-week study period. A greater reduction in stress was observed among those with clinically elevated mood symptoms (i.e., Patient Health Questionnaire-8 or Generalized Anxiety Disorder 7-item scores ≥10) at baseline compared to those without; however, the differences in the improvements in resilience scores and burnout between the two groups were not statistically significant. Although a difference in the magnitude of change in stress was observed for participants with and without clinically elevated mood symptoms at baseline, significant improvements in stress, burnout, and resilience over the 8-week study period were observed for both groups. Bivariate analyses showed that race, insurance type, and baseline level of resilience were associated with changes in each of the outcomes, though baseline resilience was the only factor that remained significantly associated with changes in the outcomes in the stepwise multiple regression analyses.

Conclusion

Results of this single-arm, exploratory study suggest that conversational agent-guided mental health interventions such as Woebot-LIFE may be associated with reduced stress and burnout and increased resilience in both clinical and non-clinical populations.

Efficacy of a Brief Blended Cognitive Behavioral Therapy Program for the Treatment of Depression and Anxiety in University Students: Uncontrolled Intervention Study

BACKGROUND

Blended cognitive behavioral therapy (bCBT)-the combination of cognitive behavioral therapy and digital mental health applications-has been increasingly used to treat depression and anxiety disorders. As a resource-efficient treatment approach, bCBT appears promising for addressing the growing need for mental health care services, for example, as an early intervention before the chronification of symptoms. However, further research on the efficacy and feasibility of integrated bCBT interventions is needed.

OBJECTIVE

This study aimed to evaluate the efficacy of a novel bCBT program comprising short (25 min), weekly face-to-face therapy sessions combined with a smartphone-based digital health app for treating mild to moderate symptoms of depression or anxiety.

METHODS

This prospective uncontrolled trial comprised 2 measurement points (before and after treatment) and 2 intervention groups. We recruited university students with mild to moderate symptoms of depression or anxiety. On the basis of the primary symptoms, participants were assigned to either a depression intervention group (n=67 completers) or an anxiety intervention group (n=33 completers). Participants in each group received 6 weekly individual psychotherapy sessions via videoconference and completed modules tailored to their respective symptoms in the smartphone-based digital health app.

RESULTS

The depression group displayed medium to large improvements in the symptoms of depression (Cohen d=-0.70 to -0.90; P<.001). The anxiety group experienced significant improvements in the symptoms of generalized anxiety assessed with the Generalized Anxiety Disorder-7 scale with a large effect size (Cohen d=-0.80; P<.001) but not in symptoms of anxiety assessed with the Beck Anxiety Inventory (Cohen d=-0.35; P=.06). In addition, both groups experienced significant improvements in their perceived self-efficacy (Cohen d=0.50; P<.001 in the depression group and Cohen d=0.71; P<.001 in the anxiety group) and quality of life related to psychological health (Cohen d=0.87; P<.001 in the depression group and Cohen d=0.40; P=.03 in the anxiety group). Work and social adjustment of patients improved significantly in the depression group (Cohen d=-0.49; P<.001) but not in the anxiety group (Cohen d=-0.06; P=.72). Patients' mental health literacy improved in the anxiety group (Cohen d=0.45; P=.02) but not in the depression group (Cohen d=0.21; P=.10). Patient satisfaction with the bCBT program and ratings of the usability of the digital app were high in both treatment groups.

CONCLUSIONS

This study provides preliminary evidence for the feasibility and efficacy of a novel brief bCBT intervention. The intervention effects were generalized across a broad spectrum of patient-reported outcomes. Hence, the newly developed bCBT intervention appears promising for treating mild to moderate depression and anxiety in young adults.

A cognitive-behavioural therapy programme for managing depression and anxiety in long-term physical health conditions: mixed-methods real-world evaluation of the COMPASS programme

BACKGROUND

Mental health comorbidities are common in physical long-term health conditions.

AIMS

We evaluate the effectiveness of COMPASS, a therapist-supported, digital cognitive-behavioural therapy programme specifically designed to treat anxiety/depression in the context of long-term conditions. We also investigate patient experiences of the programme.

METHOD

We utilised a mixed-methods, non-randomised design. We analysed pre-post data from 76 patients with long-term conditions who were receiving psychological treatment (COMPASS) via local NHS services, using paired sample t-tests and Cohen's d, with depression, anxiety, distress and functional impairment self-report scales. Qualitative interviews explored patients' experiences of using COMPASS. Twenty-one semi-structured interviews were completed and underwent inductive thematic analysis.

RESULTS

Patients who received COMPASS had significantly reduced depression (-2.47, 95% CI -3.7 to -1.3, P < 0.001; Cohen's d = -0.376), anxiety (-2.30, 95% CI -3.6 to -1.2, P < 0.001; Cohen's d = -0.420) and psychological distress (-4.87, 95% CI -7.0 to -2.7, P < 0.001; Cohen's d = -0.422) and significantly improved functional impairment (-3.00, 95% CI -4.8 to -1.2, P ≤ 0.001; Cohen's d = -0.282). Effect sizes were larger when analyses included only patients with clinically significant baseline symptoms: depression (-4.02, 95% CI -5.6 to -2.5, P < 0.001; Cohen's d = -0.701), anxiety (-3.60, 95% CI -5.3 to -1.9, P < 0.001; Cohen's d = -0.739), psychological distress (-5.58, 95% CI -7.9 to -3.2, P < 0.001; Cohen's d = -0.523), functional impairment (-3.28, 95% CI -5.4 to -1.1, P ≤ 0.001; Cohen's d = -0.355). Qualitative analysis yielded two meta-themes: engagement and integration of mental and physical health.

CONCLUSIONS

Results suggest that COMPASS is effective in NHS settings, and is acceptable to patients. Content tailored to long-term conditions, therapist support and clear delivery strategies should be prioritised to aid intervention implementation.

A Novel and Integrated Digitally Supported System of Care for Depression and Anxiety: Findings From an Open Trial

BACKGROUND

The global burden of anxiety and depression has created an urgent need for scalable approaches to increase access to evidence-based mental health care. The Screening and Treatment for Anxiety and Depression (STAND) system of care was developed to meet this need through the use of internet-connected devices for assessment and provision of treatment. STAND triages to level of care (monitoring only, digital therapy with coaches, digital therapy assisted by clinicians in training, and clinical care) and then continuously monitors symptoms to adapt level of care. Triaging and adaptation are based on symptom severity and suicide risk scores obtained from computerized adaptive testing administered remotely.

OBJECTIVE

This article discusses how the STAND system of care improves upon current clinical paradigms, and presents preliminary data on feasibility, acceptability, and effectiveness of STAND in a sample of US-based university students.

METHODS

US-based university students were recruited and enrolled in an open trial of the STAND system of care. Participants were triaged based on initial symptom severity derived from a computerized adaptive test and monitored over 40 weeks on anxiety, depression, and suicide risk to inform treatment adaptation and evaluate preliminary effectiveness.

RESULTS

Nearly 5000 students were screened and 516 received care. Depression and anxiety severity scores improved across all tiers (P<.001 in all cases). Suicide risk severity improved in the highest tier (ie, clinical care; P<.001). Acceptability and feasibility were demonstrated.

CONCLUSIONS

STAND is a feasible and acceptable model of care that can reach large numbers of individuals. STAND showed preliminary effectiveness on all primary outcome measures. Current directions to improve STAND are described.

Telepsychiatry in an Era of Digital Mental Health Startups

PURPOSE OF REVIEW

Telepsychiatry practiced by psychiatrists is evidence-based, regulated, private, and effective in diverse settings. The use of telemedicine has grown since the COVID-19 pandemic as people routinely obtain more healthcare services online. At the same time, there has been a rapid increase in the number of digital mental health startups that offer various services including online therapy and access to prescription medications. These digital mental health firms advertise directly to the consumer primarily through digital advertising. The purpose of this narrative review is to contrast traditional telepsychiatry and the digital mental health market related to online therapy.

RECENT FINDINGS

In contrast to standard telepsychiatry, most of the digital mental health startups are unregulated, have unproven efficacy, and raise concerns related to self-diagnosis, self-medicating, and inappropriate prescribing. The role of digital mental health firms for people with serious mental illness has not been determined. There are inadequate privacy controls for the digital mental health firms, including for online therapy. We live in an age where there is widespread admiration for technology entrepreneurs and increasing emphasis on the role of the patient as a consumer. Yet, the business practices of digital mental health startups may compromise patient safety for profits. There is a need to address issues with the digital mental health startups and to educate patients about the differences between standard medical care and digital mental health products.

Efficacy of Web-Based, Guided Self-help Cognitive Behavioral Therapy-Enhanced for Binge Eating Disorder: Randomized Controlled Trial

BACKGROUND

Owing to the gap between treatment supply and demand, there are long waiting periods for patients with binge eating disorder, and there is an urgent need to increase their access to specialized treatment. Guided self-help cognitive behavioral therapy-enhanced (CBT-E) may have great advantages for patients if its efficacy can be established.

OBJECTIVE

The aim of this study was to examine the efficacy of guided self-help CBT-E compared with that of a delayed-treatment control condition.

METHODS

A single-blind 2-arm randomized controlled trial was designed to evaluate guided self-help CBT-E according to an intention-to-treat analysis. A total of 180 patients were randomly assigned to guided self-help CBT-E (n=90, 50%) or the delayed-treatment control condition (n=90, 50%) for which guided self-help CBT-E was provided after the initial 12-week delay. The primary outcome was reduction in binges. The secondary outcome was full recovery at the end of treatment, as measured using the Eating Disorder Examination during the last 4 weeks of treatment. A linear mixed model analysis was performed to compare treatment outcomes at the end of treatment. A second linear mixed model analysis was performed to measure between- and within-group effects for up to 24 weeks of follow-up. The Eating Disorder Examination-Questionnaire and clinical impairment assessment were conducted before and after treatment and during follow-up. In addition, dropout rates were assessed in both conditions.

RESULTS

During the last 4 weeks of treatment, objective binges reduced from an average of 19 (SD 16) to 3 (SD 5) binges, and 40% (36/90) showed full recovery in the guided self-help CBT-E group. Between-group effect size (Cohen d) was 1.0 for objective binges. At follow-up, after both groups received treatment, there was no longer a difference between the groups. Of the 180 participants, 142 (78.9%) completed treatment. The overall treatment dropout appeared to be associated with gender, level of education, and number of objective binges at baseline but not with treatment condition.

CONCLUSIONS

This is the first study to investigate the efficacy of guided self-help CBT-E. Guided self-help CBT-E appeared to be an efficacious treatment. This study's findings underscore the international guidelines recommending this type of treatment for binge eating disorder.

TRIAL REGISTRATION

Netherlands Trial Registry (NTR) NL7994; https://trialsearch.who.int/Trial2.aspx?TrialID=NL7994.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12888-020-02604-1.

Validation of the Attitudes Towards Psychological Online Interventions Questionnaire Among Black Americans: Cross-cultural Confirmatory Factor Analysis

BACKGROUND

Acceptability of digital mental health interventions is a significant predictor of treatment-seeking behavior and engagement. However, acceptability has been conceptualized and operationalized in various ways, which decreases measurement precision and leads to heterogeneous conclusions about acceptability. Standardized self-report measures of acceptability have been developed, which have the potential to ameliorate these problems, but none have demonstrated evidence for validation among Black communities, which limits our understanding of attitudes toward these interventions among racially minoritized groups with well-documented barriers to mental health treatment.

OBJECTIVE

This study aims to examine the psychometric validity and reliability of one of the first and most widely used measures of acceptability, the Attitudes Towards Psychological Online Interventions Questionnaire, among a Black American sample.

METHODS

Participants (N=254) were recruited from a large southeastern university and the surrounding metropolitan area and completed the self-report measure via a web-based survey. A confirmatory factor analysis using mean and variance adjusted weighted least squares estimation was conducted to examine the validity of the underlying hierarchical 4-factor structure proposed by the original authors of the scale. An alternative, hierarchical 2-factor structure model and bifactor model were examined for comparative fit.

RESULTS

The findings indicated that the bifactor model demonstrated a superior fit (comparative fit index=0.96, Tucker-Lewis index=0.94, standardized root mean squared residual=0.03, and root mean square error of approximation=0.09) compared with both 2- and 4-factor hierarchical structure models.

CONCLUSIONS

The findings suggest that, within a Black American sample, there may be greater utility in interpreting the Attitudes Towards Psychological Online Interventions Questionnaire subscales as attitudinal constructs that are distinct from the global acceptability factor. The theoretical and practical implications for culturally responsive measurements were explored.

Working alliance in low-intensity internet-based cognitive behavioral therapy for depression in primary care in Spain: A qualitative study

Introduction

Psychotherapies delivered via the Internet have been promoted as an alternative for improving access to psychological treatments. A conceptual working alliance model of blended (i.e., traditional face-to-face consultation combined with Internet-delivered psychotherapy) cognitive-behavioral therapy (b-CBT) for depression has been developed in the UK. However, little is known about how this important therapeutic process, namely the working alliance (WA), is developed and maintained in Internet-delivered cognitive-behavioral therapy without face-to-face consultation (i-CBT). The aim of this study was to evaluate the validity of the WA model of b-CBT in Spanish patients with depression receiving i-CBT.

Methods

Forty-one patients suffering from mild-moderate depression were interviewed to assess their experiences of an i-CBT program. Interviews were conducted with participants who received a self-guided application (n = 9), and low-intensity support (n = 10). Three group interviews were also conducted with patients who either did not start the program (n = 8) or did not complete it (n = 6), and with patients who did complete it (n = 8).

Results

Qualitative thematic content analysis was performed using the constant comparative method, which revealed four main themes: "bond," "goals," "task," and "usability heuristics," all consistent with the existing literature. However, a new subcategory emerged, called "anonymity," which may highlight the social stigma that mental illness still has in the Spanish context.

Conclusion

Results suggest that the development and maintenance of the WA through i-CBT could offer a better experience of the therapeutic process and improve the clinical impact.

Clinical Trial Registration

Clinicaltrials.gov, identifier: NCT01611818.

Improving Children's Sleep Habits Using an Interactive Smartphone App: Community-Based Intervention Study

BACKGROUND

Sleep problems are quite common among young children and are often a challenge for parents and a hinderance to children's development. Although behavioral therapy has proven effective in reducing sleep problems in children, a lack of access to professionals who can provide effective support is a major barrier for many caregivers. Therefore, pediatric sleep experts have begun developing apps and web-based services for caregivers. Despite the substantial influence of cultural and familial factors on children's sleep, little effort has gone into developing cultural or family-tailored interventions.

OBJECTIVE

This study aimed to examine the effectiveness of the interactive smartphone app "Nenne Navi," which provides culturally and family-tailored suggestions for improving sleep habits in young Japanese children through community-based long-term trials. The study also aimed to investigate the association between app-driven improvements in sleep and mental development in children.

METHODS

This study adopted a community-based approach to recruit individuals from the Higashi-Osaka city (Japan) who met ≥1 of the following eligibility criteria for sleep problems: sleeping after 10 PM, getting <9 hours of nighttime sleep, and experiencing frequent nighttime awakenings. A total of 87 Japanese caregivers with young children (mean 19.50, SD 0.70 months) were recruited and assigned to the app use group (intervention group) or the video-only group (control group). Both groups received educational video content regarding sleep health literacy. The caregivers in the intervention group used the app, which provides family-tailored suggestions, once per month for 1 year.

RESULTS

A total of 92% (33/36) of the caregivers in the app use group completed 1 year of the intervention. The participants' overall evaluation of the app was positive. The wake-up time was advanced (base mean 8:06 AM; post mean 7:48 AM; F_1,65=6.769; P=.01 and sleep onset latency was decreased (base mean 34.45 minutes; post mean 20.05 minutes; F_1,65=23.219; P<.001) significantly in the app use group at the 13th month compared with the video-only group. Moreover, multiple regression analysis showed that decreased social jetlag (β=-0.302; P=.03) and increased sleep onset latency SD (β=.426; P=.02) in children predicted a significant enhancement in the development of social relationships with adults. At 6 months after the completion of the app use, all the caregivers reported continuation of the new lifestyle.

CONCLUSIONS

The present findings suggest that the app "Nenne Navi" has high continuity in community use and can improve sleep habits in young Japanese children and that interventions for sleep habits of young children may lead to the enhancement of children's social development. Future studies must focus on the effectiveness of the app in other regions with different regional characteristics and neuroscientific investigations on how changes in sleep impact brain development.

Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort

BACKGROUND

Digital mental health (DMH) programs can be effective in treating and preventing mental health problems. However, community engagement with these programs can be poor. Understanding the barriers and enablers of DMH program use may assist in identifying ways to increase the uptake of these programs, which have the potential to provide broad-scale prevention and treatment in the community.

OBJECTIVE

In this study, we aimed to identify and compare factors that may influence participation in DMH programs in practice and research trials, identify any respondent characteristics that are associated with these factors, and assess the relationship between intentions to use DMH programs and actual uptake.

METHODS

Australian adults aged ≥18 years were recruited from market research panels to participate in the study. The sample was representative of the Australian adult population based on age, gender, and location. Participants completed a cross-sectional web-based survey assessing demographic characteristics, mental health symptom measures, attitudes and use of DMH programs in practice and in research studies, and the factors influencing their use in both settings.

RESULTS

Across both research and practice, trust in the organization delivering the service or trial was the top-ranked factor influencing participation, followed by anonymity or privacy and adequate information. There was little variation in rankings across demographic groups, including intentions to use DMH programs or mental health status. Intentions to use DMH programs were a strong predictor of both current (odds ratio 2.50, 99% CI 1.41-4.43; P<.001) and past (odds ratio 2.98, 99% CI 1.71-5.19; P<.001) use behaviors.

CONCLUSIONS

Efforts to increase the uptake of DMH programs or participation in research trials should focus on clearly communicating the following to users: the legitimacy of the organization delivering the program, security and use of participant data, and effectiveness of DMH programs.

Entertain Me Well: An Entertaining, Tailorable, Online Platform Delivering CBT for Depression

Depression prevalence is high, impacting approximately 20% of Americans during their lifetime, and on the rise due to stress and loss associated with the COVID-19 pandemic. Despite the high prevalence of depression, unacceptable treatment access disparities persist. When depression goes untreated, it leads to substantial negative impacts in multiple life domains. Cognitive behavioral therapy (CBT), the gold-standard psychosocial treatment for depression, remains largely unavailable to individuals living with depression, particularly individuals who are members of underrepresented groups in our society. Digital mental health interventions (DMHI) have led to important advances in extending the reach of CBT for depression; however, they are underutilized and treatment engagement remains low. We sought to address some of the current gaps in DMHI by developing an online platform for delivering CBT for depression that is entertaining, simple and straightforward, and tailorable. First, this article introduces our online platform, Entertain Me Well (EMW) and its key innovations, including the use of an engaging, character-driven storyline presented as "episodes" within each session, as well as customizable content that allows for tailoring of text, images, and examples to create content most relevant to the target client population, context, or setting. Next, we describe two EMW depression treatment programs that have been tailored: one for delivery in the rural church setting, called Raising Our Spirits Together, and one tailored for delivery in dialysis centers, called Doing Better on Dialysis. Finally, we discuss future directions for the EMW platform, including the ability to create programs for other common mental health and health conditions, the development of additional character-driven storylines with greater treatment personalization, translation of content in multiple languages, and the use of additional technological innovation, such as artificial intelligence like natural language processing, to enhance platform interactivity.

A mobile-based aftercare intervention to increase self-esteem in inpatients diagnosed with depression: A randomized controlled trial

OBJECTIVE

In this randomized controlled trial, we investigated the effectiveness, side effects and user satisfaction of the self-help smartphone app "MCT & More" among inpatients with a diagnosis of depression after their discharge from a psychiatric hospital over a period of 4 weeks.

METHODS

A total of 159 inpatients were recruited in four German psychiatric hospitals three days before hospital discharge (intervention group: n = 79; treatment as usual: n = 80). Based on the vulnerability model (low self-esteem contributes to depression), self-esteem represented the primary outcome, quality of life and depressive symptoms the secondary outcomes.

RESULTS

Intention-to-treat analyzes showed no statistical significance for the primary and secondary outcome parameters, except for the subscale self-competence in favor of the intervention group (with a small effect size of d = 0.35), in the context of an exploratory approach (post hoc). The more positive the attitude toward mobile-based interventions and the more positive the treatment expectations, the more frequently the app was used (r = .35, p = .008; r = .34, p = .009).

CONCLUSION

Further symptom reduction could not be obtained. However, the results suggest that an effect on improvement in self-competence could be achieved by low-threshold aftercare programs. Future studies should include long-term assessments to examine the impact of mobile-based aftercare on relapse.Trial registration: DRKS00022559.

Social Group Identification as a Predictor of Pretreatment Suicidal Ideation and Intent in those Receiving cCBT: Evidence from a Scottish Primary Care Sample

Suicidal ideation and intent are strongly linked with suicidal attempts and completions; however, no study to date has explored the predictors of ideation and intent within a sample receiving computerized cognitive behavioral therapy (cCBT) as an intervention for mild to moderate depression. The current study investigates the impact of social group identification and socioeconomic deprivation, together with a number of important clinical and demographic factors, on suicidal ideation and intent within a Scottish primary care sample. Participants (N = 1062) were recruited from referrals to a cCBT program, "Beating the Blues" (BtB), over a 33-month period. Participants completed three versions of the group identifications scale (GIS), one for each of three groups: family, community, and a social group of choice. Single-item questions on suicidal ideation and intent were delivered through the BtB program, and demographic and clinical information were collected on commencing BtB. More severe psychological distress, fewer group identifications, younger age, and being male, all significantly predicted the presence of suicidal ideations, however only greater severity of psychological distress was associated with more serious suicidal intent. These results provide valuable insight into factors associated with suicidal ideation and intent within a clinical population from a psychosocial, psychopharmacological, and demographic perspective.

A meta-analytic review of randomized clinical trials of online treatments for anxiety: Inclusion/exclusion criteria, uptake, adherence, dropout, and clinical outcomes

Over the last decade there has been rapid growth in the number of clinical trials examining internet-delivered interventions for anxiety. While there have been numerous analyses of treatment efficacy, few studies have examined treatment engagement. The current meta-analysis examined participant eligibility, uptake, adherence, and drop-out in clinical trials of internet-delivered treatments for anxiety. This meta-analysis used random effects models to obtain estimates of participant inclusion, uptake, adherence, drop-out, and within-group treatment effect size. Moderator analyses examined the effects of anxiety disorder type, treatment type, and level of clinician guidance. After screening, 140 trials with 199 treatment arms (N = 11,021) were included. An average of 46% (95% CI 42, 50) of interested people were included in the clinical trials. In the active treatment arms, 98% (95% CI 97, 99) of participants began treatment, 81% (95% CI 78, 85) of the assigned treatments were completed, 21% (95% CI 18, 23) of individuals dropped out at post-treatment based on questionnaire non-completion, and an overall within-group effect size of g = 1.03 (95% CI 0.94, 1.13) was obtained. Several moderators of interest were significant (e.g., clinical guidance, anxiety disorder type), and there was substantial heterogeneity in estimates. In conclusion, a large number of inclusion and exclusion criteria have been used in trials of internet-delivered treatments for anxiety. Once recruited into a trial, however, most people appear to begin, adhere, and complete internet-delivered treatment for anxiety. Further research exploring various eligibility criteria and their impact on engagement and efficacy is warranted.

Predicting early dropout in online versus face-to-face guided self-help: A machine learning approach

BACKGROUND

Early dropout hinders the effective adoption of brief psychological interventions and is associated with poor treatment outcomes. This study examined if attendance and depression treatment outcomes could be improved by matching patients to either face-to-face or computerized low-intensity psychological interventions.

METHODS

Archival clinical records were analysed for 85,664 patients who accessed face-to-face or computerized guided self-help (GSH). The primary outcome was early dropout (attending ≤3 sessions). Supervised machine learning analyses were applied in a training sample (n = 55,529). The trained algorithm was cross-validated in an independent test sample (n = 30,135). The clinical utility of the model was evaluated using logistic regression, chi-square tests, and sensitivity analyses in a balanced subsample.

RESULTS

Patients who received their model-indicated treatment modality were 12% more likely to receive an adequate dose of treatment OR = 1.12 (95% CI = 1.02 to 1.24), p = .02, and the strength of this effect was larger in the balanced subsample (OR = 2.10, 95% CI = 1.65 to 2.68, p < .001). Patients had better treatment outcomes when matched to their model-indicated treatment modality.

CONCLUSIONS

Machine learning approaches may enable services to optimally match patients to the treatment modality that maximizes attendance.

Erste Erfahrungen mit einer Selbstmanagement-App in der stationären Suchtbehandlung

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

A randomized controlled trial of a multi-modal palliative care intervention to promote advance care planning and psychological well-being among adults with advanced cancer: study protocol

Background

Up to half of adults with advanced cancer report anxiety or depression symptoms, which can cause avoidance of future planning. We present a study protocol for an innovative, remotely-delivered, acceptance-based, multi-modal palliative care intervention that addresses advance care planning (ACP) and unmet psychological needs commonly experienced by adults with metastatic cancer.

Methods

A two-armed, prospective randomized controlled trial (RCT) randomizes 240 adults with Stage IV (and select Stage III) solid tumor cancer who report moderate to high anxiety or depression symptoms to either the multi-modal intervention or usual care. The intervention comprises five weekly two-hour group sessions (plus a booster session one month later) delivered via video conferencing, with online self-paced modules and check-ins completed between the group sessions. Intervention content is based on Acceptance and Commitment Therapy (ACT), an acceptance, mindfulness, and values-based model. Participants are recruited from a network of community cancer care clinics, with group sessions led by the network’s oncology clinical social workers. Participants are assessed at baseline, mid-intervention, post-intervention, and 2-month follow-up. The primary outcome is ACP completion; secondary outcomes include anxiety and depression symptoms, fear of dying, and sense of life meaning. Relationships between anxiety/depression symptoms and ACP will be evaluated cross-sectionally and longitudinally and theory-based putative mediators will be examined.

Discussion

Among adults with advanced cancer in community oncology settings, this RCT will provide evidence regarding the efficacy of the group ACT intervention on ACP and psychosocial outcomes as well as examine the relationship between ACP and anxiety/ depression symptoms. This trial aims to advance palliative care science and inform clinical practice.

Trial Registration

Clinicaltrials.gov NCT04773639 on February 26, 2021.

Predictors of Adherence to Cancer-Related mHealth Apps in Cancer Patients Undergoing Oncological or Follow-Up Treatment-A Scoping Review

mHealth interventions in cancer care are being increasingly applied in various settings. Nevertheless, there is a phenomenon wherein individuals show different usage patterns, which could affect the effectiveness of the intervention. In general, it is important to know the predictors of app adherence and usage patterns to improve the design and content (i.e., tailoring). The aim of this scoping review was to provide an overview of predictors of adherence to cancer-related mHealth apps in cancer patients. A systematic literature search was conducted in March 2021 in the electronic databases PubMed, CINAHL, and PsychINFO without limitation in year, focusing on cancer patients undergoing oncological or follow-up treatment using mHealth apps. The initial database search yielded a total of N = 8035 records. After title, abstract, and full-text screening, 10 articles met inclusion criteria. Studies were published between 2013 and 2020. Studies focused on children and adolescents (2/10) as well as adults (8/10). The predictors identified could be categorized into sociodemographic variables, cancer-related factors and others. This study provides an initial insight into relevant predictors of app adherence in cancer patients. However, no clear predictor of increased app adherence was found. Further research of usage patterns is therefore needed so that mHealth interventions can be tailored during development.

A randomized controlled trial to pilot the efficacy of a computer-based intervention with elements of virtual reality and limited therapist assistance for the treatment of post-traumatic stress disorder

Although well-established therapies exist for post-traumatic stress disorder (PTSD), barriers to seek mental health care are high. Technology-based interventions may play a role in improving the reach of efforts to treat, especially when therapist availability is low. The goal of the current randomized controlled trial was to pilot the efficacy of a computer-based trauma intervention with elements of virtual reality (VR; 3MR system) and limited therapist involvement for the treatment of PTSD in a childhood sexual abuse (CSA) and war veteran sample and to compare this to "treatment as usual" (TAU). TAU consisted of evidence-based approaches such as imaginal exposure, EMDR, or narrative exposure therapy. A total of 44 patients with PTSD were included and randomly assigned to 12 sessions of 3MR intervention or TAU (completer n 3MR = 12, TAU = 18). Several measures (PCL-5, BDI-II, OQ-45-2, and the M.I.N.I. 5.0.0.) were administered to measure symptoms of PTSD and depression and scores of overall well-being at pre, post, and a three-month follow-up measurement. Analyses suggest that symptoms of PTSD and depression in the 3MR condition decreased, and overall well-being increased between pre and post measurements. Results did not indicate any clear differences between the treatment conditions over time which suggests that treatment gains of the 3MR intervention seem no less than those of TAU. Finally, both treatment conditions produced similar remission rates of PTSD and depression. Therefore, the 3MR intervention could possibly constitute an appropriate treatment alternative. The small sample size as well as evident drop-out rates in the 3MR condition (45%) do warrant further research. The procedures of this study were approved by the Medical Ethical Research Committee (MERC) of the Erasmus Medical Center in Rotterdam (MEC-NL46279.078.13) and pre-registered via ClinicalTrials.gov (Protocol Record CI1-12-S028-1).

Study protocol: A randomized controlled trial of Raising Our Spirits Together, an entertaining, group-based technology-assisted cognitive behavioral therapy for depression, tailored for rural adults and delivery by clergy

This paper presents a methodological description of a randomized controlled trial (RCT) testing the effect of Raising Our Spirits Together (ROST), a technology-assisted cognitive behavioral therapy (T-CBT) for depression, tailored for the rural context and for delivery by clergy, compared to an enhanced control condition. Depression is among the most common mental health conditions; yet the majority of adults with depression do not receive needed treatment due to limited access to mental health professionals, treatment-associated costs, distance to care, and stigma. These barriers are particularly salient in rural areas of the United States. T-CBT with human support is an accessible and effective treatment for depression; however, currently available T-CBTs have poor completion rates due to the lack of tailoring and other features to support engagement. ROST is a T-CBT specifically tailored for the rural setting and delivery by clergy, who are preferred, informal providers. ROST also presents core CBT content in a simple, jargon-free manner that supports multiple learning preferences. ROST is delivered virtually in a small group format across 8 weekly sessions via videoconferencing software consistent with other clergy-based programs, such as Bible studies or self-help groups. In this study, adults with depressive symptoms recruited from two rural Michigan counties will be randomized to receive ROST versus an enhanced control condition (N = 84). Depressive symptoms post-treatment and at 3 months follow-up according to the Patient Health Questionnaire (PHQ-9) will be the primary outcome. Findings will determine whether ROST is effective for improving depression symptoms in underserved, under resourced rural communities.

A novel smartphone-based intervention targeting sleep difficulties in individuals experiencing psychosis: A feasibility and acceptability evaluation

OBJECTIVES

Cognitive Behavioural Therapy (CBT) is an effective psychological intervention for sleep difficulties and has been used successfully in individuals with psychosis. However, access is restricted due to lack of resources and staff training. Delivering CBT for sleep problems using smartphone technology may facilitate wider access. This study aimed to evaluate the feasibility, acceptability and potential usefulness of a guided, smartphone-based CBT intervention targeting sleep disturbance for individuals with psychosis.

DESIGN

Participants with psychosis spectrum diagnoses were recruited to a single-arm, uncontrolled study and engaged with the seven-module programme via smartphone app for six weeks with therapist support.

METHOD

Feasibility was assessed by rates of referral, recruitment and completion. Acceptability was assessed by app usage, a satisfaction questionnaire and qualitative analysis of participants' semi-structured interview. Pre- and post-intervention assessment of sleep, psychotic experiences, mood, well-being and functioning was conducted. Mean change confidence intervals were calculated and reported as an indication of usefulness.

RESULTS

Fourteen individuals consented to participation, and eleven completed the post-intervention assessment. On average, each participant engaged with 5.6 of 7 available modules. Qualitative feedback indicated the intervention was considered helpful and would be recommended to others. Suggested improvements to app design were provided by participants. Potential treatment benefits were observed for sleep difficulties, and all outcomes considered, except frequency of hallucinatory experiences.

CONCLUSIONS

It is feasible and acceptable to deliver therapist-guided CBT for sleep problems by smartphone app for individuals with psychosis. This method provides a low-intensity, accessible intervention, which could be offered more routinely. Further research to determine treatment efficacy is warranted.

Digital prevention of depression for farmers? A qualitative study on participants' experiences regarding determinants of acceptance and satisfaction with a tailored guided internet intervention program

Introduction

Farmers, forest workers and gardeners have a higher risk of developing depression compared to other occupational populations. As part of the German pilot project "With us in balance", the potential of six guided internet- and mobile-based interventions (IMIs) to prevent depression among their insurants is examined. The IMI program is tailored to various risk factors of depression, individual symptoms, and needs. Although IMIs have been shown to be effective in reducing depressive symptoms, there is little qualitative research about the acceptance of digital preventive IMIs. The aim of this qualitative study is to gain insights into participants' experiences with the guided IMIs by focusing on determinants for acceptance and satisfaction.

Methods

Semi-structured interviews were conducted with 22/171 (13 %) intervention group (IG) participants of a randomized controlled trial. The interview guide was developed based on theoretical models of user acceptance (Unified Theory of Acceptance and Use of Technology) and patient satisfaction (evaluation model, discrepancy theory). The interviews were evaluated independently by two coders performing a deductive-inductive content analysis and attaining a substantial level of agreement (K = 0.73).

Results

The qualitative analysis revealed 71 determinants for acceptance and satisfaction across ten dimensions: performance expectancy, organisation, e-coach, usability, training content and structure, training usage, training outcome, financing, social influence, and behavioural intention. The most frequently identified drivers for the IMI use include "location independence", "positive relationship to the e-coach" (each n = 19, 86 %), "personal e-coach guidance", "expertise of the e-coach", "target group specific adaptation" (each n = 18, 82 %), "flexibility", "high willingness for renewed participation" (each n = 17, 77 %), "fast and easy availability", "training of health enhancing attitudes and behaviours" and "content with figurative expressions" (each n = 16, 73 %).

Discussion

The qualitative findings predominantly suggest the acceptance of and satisfaction with the IMI program for the prevention of depression in famers and related lines of work. Many identified positive drivers are related to the e-coach guidance, which emphasizes its importance in the preventive setting from the perspective of the participants. Nevertheless, some negative aspects have been identified which help to understand potential weaknesses of the IMI program. Participants indicated different needs in terms of IMI content and usage, which points towards the potential benefit of individualisation. The possibility of being able to use IMIs anonymously, flexibly and independently of location might be highly relevant for this specific target group.

Predictors of Dropout in a Digital Intervention for the Prevention and Treatment of Depression in Patients With Chronic Back Pain: Secondary Analysis of Two Randomized Controlled Trials

Background

Depression is a common comorbid condition in individuals with chronic back pain (CBP), leading to poorer treatment outcomes and increased medical complications. Digital interventions have demonstrated efficacy in the prevention and treatment of depression; however, high dropout rates are a major challenge, particularly in clinical settings.

Objective

This study aims to identify the predictors of dropout in a digital intervention for the treatment and prevention of depression in patients with comorbid CBP. We assessed which participant characteristics may be associated with dropout and whether intervention usage data could help improve the identification of individuals at risk of dropout early on in treatment.

Methods

Data were collected from 2 large-scale randomized controlled trials in which 253 patients with a diagnosis of CBP and major depressive disorder or subclinical depressive symptoms received a digital intervention for depression. In the first analysis, participants’ baseline characteristics were examined as potential predictors of dropout. In the second analysis, we assessed the extent to which dropout could be predicted from a combination of participants’ baseline characteristics and intervention usage variables following the completion of the first module. Dropout was defined as completing <6 modules. Analyses were conducted using logistic regression.

Results

From participants’ baseline characteristics, lower level of education (odds ratio [OR] 3.33, 95% CI 1.51-7.32) and both lower and higher age (a quadratic effect; age: OR 0.62, 95% CI 0.47-0.82, and age²: OR 1.55, 95% CI 1.18-2.04) were significantly associated with a higher risk of dropout. In the analysis that aimed to predict dropout following completion of the first module, lower and higher age (age: OR 0.60, 95% CI 0.42-0.85; age²: OR 1.59, 95% CI 1.13-2.23), medium versus high social support (OR 3.03, 95% CI 1.25-7.33), and a higher number of days to module completion (OR 1.05, 95% CI 1.02-1.08) predicted a higher risk of dropout, whereas a self-reported negative event in the previous week was associated with a lower risk of dropout (OR 0.24, 95% CI 0.08-0.69). A model that combined baseline characteristics and intervention usage data generated the most accurate predictions (area under the receiver operating curve [AUC]=0.72) and was significantly more accurate than models based on baseline characteristics only (AUC=0.70) or intervention usage data only (AUC=0.61). We found no significant influence of pain, disability, or depression severity on dropout.

Conclusions

Dropout can be predicted by participant baseline variables, and the inclusion of intervention usage variables may improve the prediction of dropout early on in treatment. Being able to identify individuals at high risk of dropout from digital health interventions could provide intervention developers and supporting clinicians with the ability to intervene early and prevent dropout from occurring.

Toward a digital citizen lab for capturing data about alternative ways of self-managing chronic pain: An attitudinal user study

Background

Myriad psychosocial and cultural factors influence personal ways of coping with chronic pain (CP). Mobile health (mHealth) apps facilitate creation of citizen laboratories outside clinical frameworks. However, issues of safety, privacy and technostress must be addressed. This attitudinal user study aimed to assess whether persons with persistent pain (PwPP) would be open to sharing qualitative and quantitative data about their self-management of CP via mHealth platforms.

Methods

In March 2020, we invited PwPPs, their personal or medical caregivers, or those interested in the development of an app for researching alternative ways of self-managing CP to complete an anonymous survey. We formulated an attitudinal survey within the theoretical framework of stress to estimate whether the novelty, unpredictability, and risks of data-sharing via mHealth apps concerned users. Descriptive statistics (% Part/Group) were used to interpret the survey, and open comments were reflectively analyzed to identify emerging themes.

Results

Of 202 responses (June 2021), 127 identified as PwPPs (average age 43.86 ± 14.97; 100/127 female), and listed several primary and secondary CP diagnoses. In almost 90% of PwPPs, physical and emotional wellbeing were affected by CP. More than 90% of PwPPs used alternative therapies (acupuncture, homeopathy, massage therapy, etc.). Attitude toward mHealth apps were positive even though nearly half of PwPPs were unfamiliar with them. More than 72% of respondents were open to using a health-related app as a research tool for data collection in real life situations. Comprehensive data collection (especially about psychosocial factors) was the most important requirement. More respondents (especially medical professionals) were concerned about health hazards of misinformation communicated via health-related information and communication systems (maximum 80%) than about privacy (maximum 40%). Qualitative analyses revealed several promises and impediments to creation of data-sharing platforms for CP.

Conclusions

This study shows a general willingness among PwPPs to become partners in studying alternative pain management. Despite a generally positive attitude toward the concept of sharing complex personal data to advance research, heterogeneity of attitudes shaped by personal experiences must be considered. Our study underlines the need for any digital strategy for CP research to be person-centered and flexible.

[Effectiveness of the Internet-Based, Job-Related Aftercare GSA-Online Following Inpatient Psychosomatic Rehabilitation: Results of a Randomized Controlled Trial]

PURPOSE

In order to sustain the treatment results of medical rehabilitation in the long term and to support the transfer of learned strategies into everyday life, outpatient aftercare is often indicated. This is especially true for psychosomatic rehabilitation patients with occupational stress, for whom reintegration into working life is a particular challenge. Since access to care services close to home is limited, internet-based aftercare interventions offer the possibility of timely and flexible aftercare tailored to the patient's needs. In a randomized controlled trial, the internet-based job-related aftercare GSA-Online proved to be effective across indications with regard to job-related and health-related outcome criteria. The aim of the present study is to examine these outcome criteria in a subsample of patients undergoing inpatient psychosomatic rehabilitation.

METHODS

Occupationally stressed rehabilitation inpatients were assigned to the intervention (IG) or control group (CG) by means of cluster randomization after meeting the inclusion criteria and participating an inpatient vocational stress management training. After discharge from rehabilitation, patients in the IG were given access to GSA-Online for twelve weeks. In the intervention, maladaptive social interactions in the workplace were identified with the help of self-written blog posts and addressed with the help of therapeutic comments. The active CG received access to selected online information on health-promoting behaviors. Target measures included subjective prognosis of gainful employment (SPE), depressiveness (PHQ-9), and anxiety (GAD-7). Self-report measures were assessed at the end of aftercare and at follow-up (twelve months after the end of rehabilitation). Missing values were replaced using multiple imputation.

RESULTS

Ninety-one percent of the IG (N=89) and 70% of the CG (N=106) logged on to the website at least once. There were no group differences in the subjective prognosis of gainful employment at the end of aftercare but a trend toward more optimistic scores in the IG at follow-up. Significantly lower psychological distress was observed in the IG, especially with regard to anxiety (at both measuring points) but also with regard to depressive symptoms (follow-up) and experience of stress (end of intervention).

CONCLUSION

In the subsample of psychosomatic rehabilitation, the internet-based, job-related aftercare GSA-Online led to a significant reduction in psychological symptoms. Regarding the subjective prognosis of gainful employment, there was at least a trend in favor of IG. A larger sample is needed to more closely examine the results of this exploratory evaluation. Additionally measures to increase adherence in the IG should be explored.

The Impact of Mobile Technology-Delivered Interventions on Youth Well-being: Systematic Review and 3-Level Meta-analysis

BACKGROUND

Rates of mental health problems among youth are high and rising, whereas treatment seeking in this population remains low. Technology-delivered interventions (TDIs) appear to be promising avenues for broadening the reach of evidence-based interventions for youth well-being. However, to date, meta-analytic reviews on youth samples have primarily been limited to computer and internet interventions, whereas meta-analytic evidence on mobile TDIs (mTDIs), largely comprising mobile apps for smartphones and tablets, have primarily focused on adult samples.

OBJECTIVE

This study aimed to evaluate the effectiveness of mTDIs for a broad range of well-being outcomes in unselected, at-risk, and clinical samples of youth.

METHODS

The systematic review used 5 major search strategies to identify 80 studies evaluating 83 wellness- and mental health-focused mTDIs for 19,748 youth (mean age 2.93-26.25 years). We conducted a 3-level meta-analysis on the full sample and a subsample of the 38 highest-quality studies.

RESULTS

Analyses demonstrated significant benefits of mTDIs for youth both at posttest (g=0.27) and follow-up (range 1.21-43.14 weeks; g=0.26) for a variety of psychosocial outcomes, including general well-being and distress, symptoms of diverse psychological disorders, psychosocial strategies and skills, and health-related symptoms and behaviors. Effects were significantly moderated by the type of comparison group (strongest for no intervention, followed by inert placebo or information-only, and only marginal for clinical comparison) but only among the higher-quality studies. With respect to youth characteristics, neither gender nor pre-existing mental health risk level (not selected for risk, at-risk, or clinical) moderated effect sizes; however, effects increased with the age of youth in the higher-quality studies. In terms of intervention features, mTDIs in these research studies were effective regardless of whether they included various technological features (eg, tailoring, social elements, or gamification) or support features (eg, orientation, reminders, or coaching), although the use of mTDIs in a research context likely differs in important ways from their use when taken up through self-motivation, parent direction, peer suggestion, or clinician referral. Only mTDIs with a clear prescription for frequent use (ie, at least once per week) showed significant effects, although this effect was evident only in the higher-quality subsample. Moderation analyses did not detect statistically significant differences in effect sizes based on the prescribed duration of mTDI use (weeks or sessions), and reporting issues in primary studies limited the analysis of completed duration, thereby calling for improved methodology, assessment, and reporting to clarify true effects.

CONCLUSIONS

Overall, this study's findings demonstrate that youth can experience broad and durable benefits of mTDIs, delivered in a variety of ways, and suggest directions for future research and development of mTDIs for youth, particularly in more naturalistic and ecologically valid settings.

A Web-Based Stress Management Intervention for University Students in Indonesia (Rileks): Feasibility Study Using a Pretest-Posttest Design

Background

University students are susceptible to excessive stress. A web-based stress management intervention holds promise to improve stress but is still at a novel stage in Indonesia.

Objective

The aim of this paper was to report the feasibility of the intervention we developed—Rileks—among university students in Indonesia in terms of acceptability and usability, and to propose recommendations for future improvements.

Methods

A single-group pretest and posttest design was used. Participants with scores of 15 or higher on the stress subscale of the 42-item Depression Anxiety Stress Scales were given access to the intervention (N=68). The main outcome measures were the 8-item Client Satisfaction Questionnaire (CSQ-8) score, the System Usability Scale (SUS) score, and intervention uptake. Participants’ experience in each session was evaluated using closed- and open-ended questions for future improvements. Descriptive statistics were used to examine primary outcome and qualitative session evaluations. Participants’ responses to each topic of the open questions were summarized.

Results

The intervention was evaluated as being satisfactory (CSQ-8 mean score 21.89, SD 8.72; range 8-32). However, the intervention’s usability was still below expectation (SUS mean score 62.8, SD 14.74; range 0-100). The core modules were completed by 10 out of 68 participants (15%), and the study dropout rate was 63% (43/68) at postassessment. In general, the module content was rated positively, with some notes for improvement covering content and technical aspects.

Conclusions

This study indicates that Rileks is potentially feasible for Indonesian university students. In order to be optimally applied in such a context and before scaling up web-based interventions in Indonesia, in general, further development and refinement are needed.

International Registered Report Identifier (IRRID)

RR2-10.2196/11493

Acceptance of E-mental health interventions and its determinants among psychotherapists-in-training during the first phase of COVID-19

BACKGROUND

Although E-mental health (EMH) interventions have been shown to be effective in the treatment of mental health problems and empirical knowledge regarding EMH acceptance for different occupations in health care is established, little is known regarding EMH and psychotherapists-in-training. This seems particularly relevant as psychotherapists-in-training will shape the future health care system since they are as being the next generation of psychotherapists. With social distancing measures in place, COVID-19 has led to an increased demand for EMH, which is broadening the way psychological treatments are delivered.

OBJECTIVE

The present study aims to assess the acceptance of EMH and its determinants among psychotherapists-in-training of different EMH modalities and to retrospectively compare current acceptance with pre-COVID-19 times.

METHODS

Altogether, 29 training institutions in Switzerland and 232 training institutions in Germany were contacted, resulting in a sample of N = 216 psychotherapists-in-training (88.4 % female) who filled out the self-administered web-based questionnaire in summer 2020. The acceptance of EMH was assessed considering several different modalities (e.g., videoconference, guided self-help programs) as well as further possible predictors of EMH acceptance based on the Unified Theory of Acceptance and Use of Technology. Acceptance scores were categorized as low, moderate or high based on prior research and predicted using multiple regression.

RESULTS

Acceptance of EMH was moderate (M = 3.40, SD = 1.11) and increased significantly (t(215) = 12.03, p < .01; d = 0.88) compared to pre-COVID-19 (M = 2.67, SD = 1.11); however, acceptance varied significantly between modalities (F(2.6, 561.7) = 62.93, p < .01, partial η² = 0.23), with videoconferencing being the most accepted and unguided programs the least. Stepwise regression including three of 14 variables (R² = 0.55, F (14, 201) = 17.68, p < .001) identified performance expectancy, social influence and concerns about the therapeutic alliance as significant determinants of EMH acceptance.

DISCUSSION

Acceptance by psychotherapists-in-training was moderate and in line with prior research and comparable with other clinicians' acceptance scores. Performance expectancy, social influence and concerns about the therapeutic alliance were predictive of EMH acceptance, indicating their significance in the implementation of EMH in health care.

CONCLUSION

These findings underline the importance of the aforementioned determinants of EMH acceptance and the need for further studies investigating EMH acceptance in order to derive adequate educational programs and to facilitate dissemination among psychotherapists-in-training.

Feasibility of a Digital Therapeutic Program for Cancer Patients During Active Treatment: Analysis of Engagement, Retention and Quality of Life (Preprint)

Background

Increasing evidence shows that lifestyle interventions can improve the symptoms, quality of life (QoL), and even overall survival of patients with cancer. Digital therapeutics (DTx) can help implement behavioral modifications and empower patients through education, lifestyle support, and remote symptom monitoring.

Objective

We aimed to test the feasibility of a DTx program for patients with cancer, as measured by engagement, retention, and acceptability. In addition, we explored the effects of the program on cancer-related QoL.

Methods

We conducted a 4-week single-arm trial in Iceland, where DTx was delivered through a smartphone app. The intervention consisted of patient education about mindfulness, sleep, stress, and nutrition; lifestyle coaching; and the completion of daily missions for tracking physical activity and exercise, reporting patient-reported outcomes (PROs), practicing mindfulness, and logging healthy food intake. Information on program engagement and retention, step goal attainment, as well as PROs were collected throughout the study. QoL was measured using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire C30 at baseline and follow-up.

Results

In total, 30 patients with cancer undergoing active therapy were enrolled, and 29 registered in the app (23 female, 18 with breast cancer; mean age 52.6, SD 11.5 years). Overall, 97% (28/29) of participants were active in 3 of the 4 weeks and completed the pre- and postprogram questionnaires. The weekly active days (median) were 6.8 (IQR 5.8-6.8), and 72% (21/29) of participants were active at least 5 days a week. Users interacted with the app on average 7.7 (SD 1.9) times per day. On week 1, all 29 participants used the step counter and logged an average of 20,306 steps; 21 (72%) participants reached their step goals of at least 3000 steps per day. On week 4, of the 28 active users, 27 (96%) were still logging their steps, with 19 (68%) reaching their step goals. Of the 28 participants who completed the satisfaction questionnaire, 25 (89%) were likely to recommend the program, 23 (82%) said the program helped them deal with the disease, and 24 (86%) said it helped them remember their medication. QoL assessment showed that the average global health status, functioning, and symptom burden remained stable from baseline to follow-up. In all, 50% (14/28) of participants reported less pain, and the average pain score decreased from 31 (SD 20.1) to 22.6 (SD 23.2; P=.16). There was no significant change in PROs on the quality of sleep, energy, and stress levels from the first to the last week.

Conclusions

The high retention, engagement, and acceptability found in this study demonstrate that multidisciplinary DTx is feasible for patients with cancer. A longer, full-scale randomized controlled trial is currently being planned to evaluate the efficacy of the intervention.

Delivering Mindfulness-Based Interventions for Insomnia, Pain, and Dysfunctional Eating Through a Text Messaging App: Three Randomized Controlled Trials Investigating the Effectiveness and Mediating Mechanisms

Background

Although text messaging has the potential to be the core intervention modality, it is often used as an adjunct only. To improve health and alleviate the distress related to insomnia, pain, and dysregulated eating of people living in urban areas, text messaging–based mindfulness-based interventions were designed and evaluated in 3 randomized controlled trials.

Objective

This study investigated the effectiveness and mediating mechanisms of text messaging–based mindfulness-based interventions for people with distress related to insomnia, pain, or dysregulated eating.

Methods

In these trials, 333, 235, and 351 participants were recruited online and randomized to intervention and wait-list control conditions for insomnia, pain, and dysregulated eating, respectively. Participants experienced 21 days of intervention through WhatsApp Messenger. Participants completed pre-, post-, 1-month follow-up, and 3-month follow-up self-report questionnaires online. The retention rates at postmeasurements were 83.2% (139/167), 77.1% (91/118), and 72.9% (129/177) for intervention groups of insomnia, pain, and dysregulated eating, respectively. Participants’ queries were answered by a study technician. Primary outcomes included insomnia severity, presleep arousal, pain intensity, pain acceptance, and eating behaviors. Secondary outcomes included mindfulness, depression, anxiety, mental well-being, and functional impairments. Mindfulness, dysfunctional beliefs and attitudes about sleep, pain catastrophizing, and reactivity to food cues were hypothesized to mediate the relationship between the intervention and outcomes.

Results

For all 3 studies, the intervention groups showed significant improvement on most outcomes at 1-month follow-up compared to their respective wait-list control groups; some primary outcomes (eg, insomnia, pain, dysregulated eating indicators) and secondary outcomes (eg, depression, anxiety symptoms) were sustained at 3-month follow-up. Medium-to-large effect sizes were found at postassessments in most outcomes in all studies. In the intervention for insomnia, mediation analyses showed that dysfunctional beliefs and attitudes about sleep mediated the effect of the intervention on all primary outcomes and most secondary outcomes at both 1-month and 3-month follow-ups, whereas mindfulness mediated the intervention effect on presleep arousal at 1-month and 3-month follow-ups. In the intervention for pain, pain catastrophizing mediated the effect of intervention on pain intensity and functioning at both 1-month and 3-month follow-ups, whereas mindfulness only mediated the effect of intervention on anxiety and depressive symptoms. In the intervention for dysregulated eating, power of food mediated the effect of intervention on both uncontrolled and emotional eating at both 1-month and 3-month follow-ups and mindfulness was found to mediate the effect on depressive symptoms at both 1-month and 3-month follow-ups.

Conclusions

These 3 studies converged and provided empirical evidence that mindfulness-based interventions delivered through text messaging are effective in improving distress related to sleep, pain, and dysregulated eating. Text messaging has the potential to be a core intervention modality to improve various common health outcomes for people living a fast-paced lifestyle.

Trial Registration

Clinical Research and Biostatistics Clinical Trials Registry CUHK_CCRB00559; https://tinyurl.com/24rkwarz

Evaluating the Therapeutic Alliance With a Free-Text CBT Conversational Agent (Wysa): A Mixed-Methods Study

The present study aims to examine whether users perceive a therapeutic alliance with an AI conversational agent (Wysa) and observe changes in the t‘herapeutic alliance over a brief time period. A sample of users who screened positively on the PHQ-4 for anxiety or depression symptoms (N = 1,205) of the digital mental health application (app) Wysa were administered the WAI-SR within 5 days of installing the app and gave a second assessment on the same measure after 3 days (N = 226). The anonymised transcripts of user's conversations with Wysa were also examined through content analysis for unprompted elements of bonding between the user and Wysa (N = 950). Within 5 days of initial app use, the mean WAI-SR score was 3.64 (SD 0.81) and the mean bond subscale score was 3.98 (SD 0.94). Three days later, the mean WAI-SR score increased to 3.75 (SD 0.80) and the mean bond subscale score increased to 4.05 (SD 0.91). There was no significant difference in the alliance scores between Assessment 1 and Assessment 2.These mean bond subscale scores were found to be comparable to the scores obtained in recent literature on traditional, outpatient-individual CBT, internet CBT and group CBT. Content analysis of the transcripts of user conversations with the CA (Wysa) also revealed elements of bonding such as gratitude, self-disclosed impact, and personification. The user's therapeutic alliance scores improved over time and were comparable to ratings from previous studies on alliance in human-delivered face-to-face psychotherapy with clinical populations. This study provides critical support for the utilization of digital mental health services, based on the evidence of the establishment of an alliance.

Rates and Predictors of Deterioration in a Trial of Internet-Delivered Cognitive Behavioral Therapy for Reducing Suicidal Thoughts

OBJECTIVE

It is necessary for suicide prevention interventions to demonstrate safety. One important aspect of safety is evidence that deterioration rates are low. No studies have examined deterioration of suicidal ideation in the context of an internet-based cognitive behavioral therapy (CBT) intervention to reduce suicidal ideation. A secondary analysis of the outcomes of an online trial was conducted to determine rates of deterioration in a CBT intervention called Living with Deadly Thoughts, relative to an attention control condition, and to identify factors associated with deterioration.

METHOD

The randomized controlled trial included 418 adults with suicidal ideation at baseline (77% females, mean age 40.6 years). Deterioration was defined in two ways: a reliable increase in Suicidal Ideation Attributes Scale (SIDAS score) of ≥6.0 units; or triggering the safety protocol during the trial as determined by high levels of suicidality. Analyses were repeated with multiply imputed data. Predictors of deterioration were identified using logistic regression analysis.

RESULTS

30 (14%) participants in the control group and 15 (7%) in the intervention group met criteria for reliable deterioration (Fisher's exact p = 0.027). In a fully adjusted logistic regression model, greater initial severity of suicidal thinking was associated with lower odds of deterioration, while intervention condition, demographics, psychological factors and mental health factors had no significant association with deterioration.

CONCLUSIONS

Participation in an online suicide prevention intervention was associated with lower prevalence of reliable deterioration than participation in an attention-control intervention, providing further evidence that internet-based CBT interventions do not cause harm.HighlightsFirst study to assess deterioration in an internet suicide prevention interventionRates of reliable deterioration were higher in control (14%) than intervention (7%)No psychological or demographic factors were robustly associated with deteriorationFindings provide further evidence that internet based CBT programs are not harmful.

Measuring Adherence Within a Self-Guided Online Intervention for Depression and Anxiety: Secondary Analyses of a Randomized Controlled Trial

BACKGROUND

Self-guided online interventions offer users the ability to participate in an intervention at their own pace and address some traditional service barriers (eg, attending in-person appointments, cost). However, these interventions suffer from high dropout rates, and current literature provides little guidance for defining and measuring online intervention adherence as it relates to clinical outcomes.

OBJECTIVE

This study aims to develop and test multiple measures of adherence to a specific self-guided online intervention, as guided by best practices from the literature.

METHODS

We conducted secondary analyses on data from a randomized controlled trial of an 8-week online cognitive behavioral program that targets depression and anxiety in college students. We defined multiple behavioral and attitudinal adherence measures at varying levels of effort (ie, low, moderate, and high). Linear regressions were run with adherence terms predicting improvement in the primary outcome measure, the 21-item Depression, Anxiety, and Stress Scale (DASS-21).

RESULTS

Of the 947 participants, 747 initiated any activity and 449 provided posttest data. Results from the intent-to-treat sample indicated that high level of effort for behavioral adherence significantly predicted symptom change (F4,746=17.18, P<.001; and β=-.26, P=.04). Moderate level of effort for attitudinal adherence also significantly predicted symptom change (F4,746=17.25, P<.001; and β=-.36, P=.03). Results differed in the initiators-only sample, such that none of the adherence measures significantly predicted symptom change (P=.09-.27).

CONCLUSIONS

Our findings highlight the differential results of dose-response models testing adherence measures in predicting clinical outcomes. We summarize recommendations that might provide helpful guidance to future researchers and intervention developers aiming to investigate online intervention adherence.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04361045; https://clinicaltrials.gov/ct2/show/NCT04361045.

Factors associated with treatment uptake, completion, and subsequent symptom improvement in a national digital mental health service

Digital mental health services (DMHS) have proven effectiveness and play an important role within the broader mental health system by reducing barriers to evidence-based care. However, improved understanding of the factors associated with successful treatment uptake, treatment completion and positive clinical outcomes will facilitate efforts to maximise outcomes. Previous studies have demonstrated that patient age is positively associated, and initial symptom severity negatively associated with treatment uptake and treatment completion rates in both DMHS and other mental health services. The current study sought to extend these findings by examining the effect of other patient characteristics, in particular, self-reported psychosocial difficulties, using data from a large-scale national DMHS. Using a prospective uncontrolled observational cohort study design, we collected self-reported demographic, psychosocial and clinical data from 15,882 patients who accessed the MindSpot Clinic, Australia, between 1 January and 31 December 2019. Using a series of univariate regression models and multivariate classification algorithms we found that older age, higher educational attainment, and being in a relationship were all positively associated with uptake, completion and significant symptom improvement, while higher initial symptom severity was negatively associated with those outcomes. In addition, self-reported psychosocial difficulties had a significant negative impact on uptake, completion, and symptom improvement. Consistent with previous literature, the presence of these characteristics in isolation or in combination have a significant impact on treatment uptake, completion, and symptomatic improvement. Individual and multiple psychosocial difficulties are associated with reduced capacity to participate in treatment and hence an increased treatment burden. Identifying patients with lower capacity to complete treatment, modifications to treatments and the provision of supports to reduce treatment burden may promote greater engagement and completion of treatments offered by digital mental health services.

Individual differences associated with treatment adherence and transfer effects following gamified web-based cognitive control training for repetitive negative thinking

Recent research suggests beneficial effects of cognitive control training (CCT) on repetitive negative thinking (RNT), a key risk factor for internalizing symptomatology. However, relatively little is known regarding predictors of adherence to internet-delivered CCT as well as moderators of treatment effects for this intervention. Answering these questions could improve efficiency of clinical implementation of CCT as an eHealth intervention. The current pre-registered single-arm trial set-out to address these questions using a web-based gamified CCT procedure based on the adaptive Paced Auditory Serial Addition Task. Participants (N = 382) entered the internet-based study, where we observed considerable drop-out during the assessment phase and the first training sessions. Emotional stability and resilience emerged as predictors for deciding not to commence the intervention. Drop-out throughout the course of CCT was explained by age, emotion regulation-, and personality factors. We used latent profile analysis, a probabilistic modeling approach, to identify clusters of participants (User Profiles) based on indicators of baseline cognitive- and emotional functioning, training progress, and user experience. We obtained three User Profiles, reflecting low-, moderate-, and high-risk status. Effortful control, emotion regulation, internalizing symptomatology, resilience, and emotional stability played a central role in these User Profiles. Interestingly, User Profile predicted training related cognitive gains, as well as effects of CCT on anxiety- and stress symptoms, and reappraisal. Our findings suggest that CCT is most effective for the moderate- and high-risk groups. In addition, the high-risk group would likely benefit from a more intensive training procedure or repeated administration of the training procedure over time to foster long-term retention of training related gains.