Preliminary Results From a Randomized Controlled Study for an App-Based Cognitive Behavioral Therapy Program for Depression and Anxiety in Cancer Patients

The effect of psychologically informed practice with behavioural graded activity in cancer survivors: systematic review and meta-analysis

PURPOSE

This systematic review and meta-analysis aimed to determine the effectiveness of psychologically informed practice (PIP) with behavioural graded activity (BGA) compared to (1) waitlist controls (WLC), (2) other interventions (OI), (3) PIP alone or (4) BGA alone in cancer patients and survivors (CPaS).

METHODS

PubMed, Web of Science and Embase were screened for randomised controlled trials encompassing BGA + PIP in CPaS. Effect sizes were inventoried for outcomes regarding physical activity (PA), quality of life (QoL) and debilitating symptoms (DS), which were assessed at four time points: post-intervention (PI), follow-up F1 (1 to 3 months), F2 (4 to 6 months) and F3 (> 6 months). The quality of the evidence was classified by the GRADE approach.

RESULTS

Thirty-three studies were found eligible, comprising 4330 participants. Significant effects with low heterogeneity of PIP + BGA comparing to WLC were found for anxiety (SMD - 1.29 [-1.71; - 0.86]), depression (SMD - 0.79 [- 1.10; - 0.48]), functional impairment (SMD - 0.72 [- 0.95; - 0.50]), PA (self-reported: (SMD - 0.58 [- 0.84; - 0.32]) and objectively measured: (SMD - 0.51 [- 0.90; - 0.13])) and social impairment (SMD - 0.33 [- 0.58; - 0.08]). When comparing PIP + BGA to OI, fatigue (SMD - 0.35 [- 0.51; - 0.20]) and PA (SMD - 0.26 [- 0.41; - 0.11]) at PI, and fatigue (SMD - 0.34 [- 0.58; - 0.10]) at F1 were found significant with low heterogeneity. No significant effects were observed in the meta-analyses of studies comparing PIP + BGA to BGA or PIP alone.

CONCLUSIONS

PIP with BGA has a favourable effect on DS, PA and QoL in CPaS when compared to non-behavioural interventions such as WLC, usual care and education. However, further research is needed on 'how' and 'when' PIP + BGA should be provided in cancer rehabilitation.

IMPLICATIONS FOR CANCER SURVIVORS

PIP + BGA has the potential to facilitate CPaS to reach the recommended amount of PA and reduce DS.

The Impact of Chronic Diseases on Mental Health: An Overview and Recommendations for Care Programs

PURPOSE OF REVIEW

The current achievement of medical advancement is noteworthy; however, the occurrence of chronic diseases is increasing day by day, with a significant percentage of affected people are suffering from a mental health crisis. This article aims to present a thorough yet brief review of methods that can be employed to build the emotional wellness of chronic patients.

RECENT FINDINGS

The mental health care strategies include resilience-building, coping skills training, professional counseling, and lifestyle adaptations. Additionally, the article highlights the efficacy of several modern interventions, such as mindfulness-based therapies, cognitive behavioral therapy, eye movement desensitization, and recovery from stress therapy. The global burden of chronic illness emphasizes the pressing need to mitigate mental health problems among chronic patients. By providing actionable insights, our study clears the path for targeted interventions and holistic approaches for chronic disease patients. Moreover, the article suggests to policymakers and clinicians the need for collaboration and multifaceted interventions.

Mapping the Evidence on the Impact of mHealth Interventions on Patient-Reported Outcomes in Patients With Breast Cancer: A Systematic Review

PURPOSE

To comprehensively synthesize the existing evidence concerning mHealth interventions for patients with breast cancer (BC).

DESIGN

On July 30, 2023, we searched PubMed, PsycINFO, and Google Scholar for articles using the following inclusion criteria: evaluation of mHealth interventions in patients with cancer, at least 30 participants with BC, randomized control trials or prospective pre-post studies, determinants of health (patient-reported outcomes [PROs] and quality of life [QoL]) as primary outcomes, interventions lasting at least 8 weeks, publication after January 2015. Publications were excluded if they evaluated telehealth or used web-based software for desktop devices only. The quality of the included studies was analyzed with the Cochrane Collaboration Risk of Bias Tool and the Methodological Index for Non-Randomized Studies.

RESULTS

We included 30 studies (20 focused on BC), encompassing 5,691 patients with cancer (median 113, IQR, 135.5). Among these, 3,606 had BC (median 99, IQR, 75). All studies contained multiple interventions, including physical activity, tailored information for self-management of the disease, and symptom tracker. Interventions showed better results on self-efficacy (3/3), QoL (10/14), and physical activity (5/7). Lifestyle programs (3/3), expert consulting (4/4), and tailored information (10/11) yielded the best results. Apps with interactive support had a higher rate of positive findings, while interventions targeted to survivors showed worse results. mHealth tools were not available to the public in most of the studies (17/30).

CONCLUSION

mHealth interventions yielded heterogeneous results on different outcomes. Identifying lack of evidence on clinical scenarios (eg, patients undergoing systemic therapy other than chemotherapy) could aid in refining strategic planning for forthcoming research endeavors within this field.

Digital Therapeutic (Mika) Targeting Distress in Patients With Cancer: Results From a Nationwide Waitlist Randomized Controlled Trial

BACKGROUND

Distress is highly prevalent among patients with cancer, but supportive care needs often go unmet. Digital therapeutics hold the potential to overcome barriers in cancer care and improve health outcomes.

OBJECTIVE

This study conducted a randomized controlled trial to investigate the efficacy of Mika, an app-based digital therapeutic designed to reduce distress across the cancer trajectory.

METHODS

This nationwide waitlist randomized controlled trial in Germany enrolled patients with cancer across all tumor entities diagnosed within the last 5 years. Participants were randomized into the intervention (Mika plus usual care) and control (usual care alone) groups. The participants completed web-based assessments at baseline and at 2, 6, and 12 weeks. The primary outcome was the change in distress from baseline to week 12, as measured by the National Comprehensive Cancer Network Distress Thermometer. Secondary outcomes included depression, anxiety (Hospital Anxiety and Depression Scale), fatigue (Functional Assessment of Chronic Illness Therapy-Fatigue), and quality of life (Clinical Global Impression-Improvement Scale). Intention-to-treat and per-protocol analyses were performed. Analyses of covariance were used to test for outcome changes over time between the groups, controlling for baseline.

RESULTS

A total of 218 patients (intervention: n=99 and control: n=119) were included in the intention-to-treat analysis. Compared with the control group, the intervention group reported greater reductions in distress (P=.03; ηp²=0.02), depression (P<.001; ηp²=0.07), anxiety (P=.03; ηp²=0.02), and fatigue (P=.04; ηp²=0.02). Per-protocol analyses revealed more pronounced treatment effects, with the exception of fatigue. No group difference was found for quality of life.

CONCLUSIONS

Mika effectively diminished distress in patients with cancer. As a digital therapeutic solution, Mika offers accessible, tailored psychosocial and self-management support to address the unmet needs in cancer care.

TRIAL REGISTRATION

German Clinical Trials Register (DRKS) DRKS00026038; https://drks.de/search/en/trial/DRKS00026038.

Cognitive reappraisal in mHealth interventions to foster mental health in adults: a systematic review and meta-analysis

Background

An increasing number of mHealth interventions aim to contribute to mental healthcare of which interventions that foster cognitive reappraisal may be particularly effective.

Objectives

To evaluate the efficacy of mHealth interventions enhancing cognitive reappraisal to improve mental health in adult populations.

Methods

The literature search (four databases) yielded 30 eligible randomized controlled trials (comprising 3,904 participants). We performed a multi-level meta-analysis to examine differences between intervention and comparator conditions at post-intervention assessment. Moderator analyses were conducted for potential moderator variables (e.g., type of comparators).

Results

Most interventions were CBT-based with other training components in addition to cognitive reappraisal. We found preliminary evidence for a small to medium effect favouring mHealth interventions to enhance cognitive reappraisal over comparators, M(SMD) = 0.34, p = .002. When analysing single symptoms, there was evidence for a small to medium effect of mHealth interventions on anxiety and depressive symptoms, but not for psychological distress and well-being. All analyses showed substantial heterogeneity. Moderator analyses revealed evidence for more favourable effects in studies with passive comparators. There was an overall high risk of bias in most of the studies.

Conclusions

We found preliminary evidence for a small to medium effect of mHealth interventions including a cognitive reappraisal component to improve mental health. However, most of the interventions were complex (i.e., reappraisal was provided alongside other components), which prevents us from examining reappraisal-specific effects beyond general mental health promotion in mHealth. Dismantling studies examining the effects of single intervention components are warranted to corroborate these promising results.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=142149, identifier [CRD42019142149].

Efficacy, Safety, and Evaluation Criteria of mHealth Interventions for Depression: Systematic Review

BACKGROUND

Depression is a significant public health issue that can lead to considerable disability and reduced quality of life. With the rise of technology, mobile health (mHealth) interventions, particularly smartphone apps, are emerging as a promising approach for addressing depression. However, the lack of standardized evaluation tools and evidence-based principles for these interventions remains a concern.

OBJECTIVE

In this systematic review and meta-analysis, we aimed to evaluate the efficacy and safety of mHealth interventions for depression and identify the criteria and evaluation tools used for their assessment.

METHODS

A systematic review and meta-analysis of the literature was carried out following the recommendations of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Studies that recruited adult patients exhibiting elevated depressive symptoms or those diagnosed with depressive disorders and aimed to assess the effectiveness or safety of mHealth interventions were eligible for consideration. The primary outcome of interest was the reduction of depressive symptoms, and only randomized controlled trials (RCTs) were included in the analysis. The risk of bias in the original RCTs was assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials.

RESULTS

A total of 29 RCTs were included in the analysis after a comprehensive search of electronic databases and manual searches. The efficacy of mHealth interventions in reducing depressive symptoms was assessed using a random effects meta-analysis. In total, 20 RCTs had an unclear risk of bias and 9 were assessed as having a high risk of bias. The most common element in mHealth interventions was psychoeducation, followed by goal setting and gamification strategies. The meta-analysis revealed a significant effect for mHealth interventions in reducing depressive symptoms compared with nonactive control (Hedges g=-0.62, 95% CI -0.87 to -0.37, I2=87%). Hybrid interventions that combined mHealth with face-to-face sessions were found to be the most effective. Three studies compared mHealth interventions with active controls and reported overall positive results. Safety analyses showed that most studies did not report any study-related adverse events.

CONCLUSIONS

This review suggests that mHealth interventions can be effective in reducing depressive symptoms, with hybrid interventions achieving the best results. However, the high level of heterogeneity in the characteristics and components of mHealth interventions indicates the need for personalized approaches that consider individual differences, preferences, and needs. It is also important to prioritize evidence-based principles and standardized evaluation tools for mHealth interventions to ensure their efficacy and safety in the treatment of depression. Overall, the findings of this study support the use of mHealth interventions as a viable method for delivering mental health care.

TRIAL REGISTRATION

PROSPERO CRD42022304684; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=304684.

The effect of internet-delivered cognitive behavioral therapy for depression and anxiety on quality of life: A meta-analysis of randomized controlled trials

Although numerous studies have examined the effects of internet-delivered cognitive behavioral therapy (iCBT) for depression and anxiety on quality of life, no meta-analysis has yet been conducted to integrate the results of these studies. We conducted systematic searches in PubMed, Cochrane, and PsycInfo, which included terms for treatment type, modality of delivery, condition, and main outcome. We included studies that met the following inclusion criteria: (a) randomized controlled trials, (b) patients allocated to some form of the control condition, (c) patients receiving some type of treatment of anxiety and/or depression involving Internet-delivered Cognitive Behavioral Therapy, (d) use of a validated outcome measure assessing the level of quality of life, (e) conducted with adult participants diagnosed with anxiety disorder and/or unipolar depression, (f) papers written in English. We analyzed 40 randomized controlled trials with a total of 4289 participants that met inclusion criteria. The pooled between-group effect size for the quality of life overall score was small (g = 0.35, 95 % CI: 0.26-0.44, p = .0001), favoring iCBT over the control conditions. Regarding the distinct quality of life domains measured by the World Health Organization Quality of Life Assessment, a statistically significant difference between iCBT and control conditions was found only for the physical health domain (g = 0.56, 95 % CI: 0.06-1.07, p = .029), in favor of iCBT. In both cases, heterogeneity was moderate. While the effect on the quality of life is small (the overall quality of life score) to moderate (the physical health domain score), we conclude that iCBT for depression and anxiety may be a promising approach for improving the quality of life of patients.

Internet-based and mobile-based cognitive behavioral therapy for chronic diseases: a systematic review and meta-analysis

Positive adjustment to chronic diseases reduces psychiatric comorbidity and enhances quality of life. Very little is known about the benefit of internet-based and mobile-based Cognitive Behavioral Therapy (IM-CBT) on physical outcomes and its reciprocal interactions with psychiatric outcomes, the active therapeutic elements, and effect moderators among people with major chronic medical conditions. In this systematic review and meta-analysis (PROSPERO: CRD42022265738), CINAHL of Systematic Reviews, MEDLINE, PsycINFO, PubMed, Web of Science are systematically searched up to 1 June 2022, for randomized controlled trials (RCTs) comparing IM-CBT against non-CBT control condition(s) among people with chronic disease(s). Primary outcomes include improvements in psychiatric symptoms (depressive, anxiety, PTSD symptoms, general psychological distress) from baseline to post-intervention and follow-ups. Secondary outcomes include improvements in physical distress (physical symptoms, functional impairment, self-rated ill health, objective physiological dysfunction). Among 44 RCTs (5077 patients with seven different chronic diseases), IM-CBT improves depressive symptoms, anxiety symptoms, and general psychological distress at post-intervention and across follow-ups, and improves physical distress and functional impairment at post-intervention. Preliminary evidence suggests that behavioral modification and problem-solving could be necessary components to reduce psychiatric symptoms in IM-CBT, whereas cognitive restructuring, psychoeducation, and mindfulness elements relate to reduced physical distress. IM-CBT shows stronger benefits in chronic pain, cancer, arthritis, and cardiovascular disease, relative to other conditions. Changes in psychiatric symptoms and physical distress prospectively predict each other over time. IM-CBT is an effective intervention for comprehensive symptom management among people with chronic diseases.

The role of digital health in supporting cancer patients' mental health and psychological well-being for a better quality of life: A systematic literature review

BACKGROUND

This work aims to evaluate the role of digital health in supporting the mental and psychological well-being of patients with cancer and identify the associated challenges of use and implementation.

METHODS

Eligibility criteria: We included peer-reviewed studies (quantitative/qualitative) published between January 2011 and July 2022, that are written in English using technology to support cancer patients' mental health. We excluded opinion papers, editorials, and commentaries.

INFORMATION SOURCES

The systematic review was conducted across ProQuest CENTRAL, Scopus, PubMed, PsycInfo, Web Of Science, and IEEE Xplore. The study selection followed the Preferred Reporting Items for Systematic Reviews, meta-Analysis Reviews, and meta-Analysis guidelines (PRISMA). Risk of bias: All screening steps followed a consensus between the authors to minimize bias or discrepancy. Synthesis of the results: Data were extracted following the Six-factor Model of Psychological Well-being (SMPW). The technology challenges are summarized following the Systems Engineering Initiative for Patient Safety model (SEIPS), focusing on design, impact on processes, and outcomes.

RESULTS

We included 25 studies satisfying our inclusion criteria. The studies had little interest in minorities and sociodemographic factors' assessment within their results. The review showed that mental health and psychological well-being tools cover many applications. In addition to allowing personal growth, digital health can help cancer patients gain more autonomy and self-acceptance. Moreover, these health technologies can aid in mastering the environment, shaping social relationships, and pursuing life goals. Many challenges were identified related to the environment, organization, users, and tasks.

DISCUSSION

Digital health applications for cancer care cover a broad spectrum of mental health interventions. Challenges warrant analyzing the needs and usability. Lessons learned during COVID-19 may help refine technology interventions for mental health in cancer care. More interest in minorities is needed when designing technologies for patients to ensure more access to equitable care.

A Scoping Review and a Taxonomy to Assess the Impact of Mobile Apps on Cancer Care Management

Mobile Health (mHealth) has a great potential to enhance the self-management of cancer patients and survivors. Our study aimed to perform a scoping review to evaluate the impact and trends of mobile application-based interventions on adherence and their effects on health outcomes among the cancer population. In addition, we aimed to develop a taxonomy of mobile-app-based interventions to assist app developers and healthcare researchers in creating future mHealth cancer care solutions. Relevant articles were screened from the online databases PubMed, EMBASE, and Scopus, spanning the time period from 1 January 2016 to 31 December 2022. Of the 4135 articles initially identified, 55 were finally selected for the review. In the selected studies, breast cancer was the focus of 20 studies (36%), while mixed cancers were the subject of 23 studies (42%). The studies revealed that the usage rate of mHealth was over 80% in 41 of the 55 studies, with factors such as guided supervision, personalized suggestions, theoretical intervention foundations, and wearable technology enhancing adherence and efficacy. However, cancer progression, technical challenges, and unfamiliarity with devices were common factors that led to dropouts. We also proposed a taxonomy based on diverse theoretical foundations of mHealth interventions, delivery methods, psycho-educational programs, and social platforms. We suggest that future research should investigate, improve, and verify this taxonomy classification to enhance the design and efficacy of mHealth interventions.

Effect of Mobile Phone App-Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

Most patients with cancer experience psychological or physical distress, which can adversely affect their quality of life (QOL). Smartphone app interventions are increasingly being used to improve QOL and psychological outcomes in patients with cancer. However, there is insufficient evidence regarding the effect of this type of intervention, with conflicting results in the literature.

OBJECTIVE

In this systematic review and meta-analysis, we investigated the effectiveness of mobile phone app interventions on QOL and psychological outcomes in adult patients with cancer, with a special focus on intervention duration, type of cancer, intervention theory, treatment strategy, and intervention delivery format.

METHODS

We conducted a literature search of PubMed, Web of Science, the Cochrane Library, Embase, Scopus, China National Knowledge Infrastructure, and WanFang to identify studies involving apps that focused on cancer survivors and QOL or psychological symptoms published from inception to October 30, 2022. We selected only randomized controlled trials that met the inclusion criteria and performed systematic review and meta-analysis. The standardized mean difference (SMD) with a 95% CI was pooled when needed. Sensitivity and subgroup analyses were also conducted.

RESULTS

In total, 30 randomized controlled trials with a total of 5353 participants were included in this meta-analysis. Compared with routine care, app interventions might improve QOL (SMD=0.39, 95% CI 0.27-0.51; P<.001); enhance self-efficacy (SMD=0.15, 95% CI 0.02-0.29; P=.03); and alleviate anxiety (SMD=-0.64, 95% CI -0.73 to -0.56; P<.001), depression (SMD=-0.33, 95% CI -0.58 to -0.08; P=.009), and distress (SMD=-0.34, 95% CI -0.61 to -0.08; P=.01). Short-term (duration of ≤3 months), physician-patient interaction (2-way communication using a smartphone app), and cognitive behavioral therapy interventions might be the most effective for improving QOL and alleviating adverse psychological effects.

CONCLUSIONS

Our study showed that interventions using mobile health apps might improve QOL and self-efficacy as well as alleviate anxiety, depression, and distress in adult cancer survivors. However, these results should be interpreted with caution because of the heterogeneity of the interventions and the study design. More rigorous trials are warranted to confirm the suitable duration and validate the different intervention theories as well as address methodological flaws in previous studies.

TRIAL REGISTRATION

PROSPERO CRD42022370599; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=370599.

Cognitive behavioral therapy for anxiety and depression in cancer survivors: a meta-analysis

This study aimed to investigate the effects of cognitive behavioral therapy (CBT) on anxiety and depression in cancer survivors. The PubMed, Embase, PsycINFO, and Cochrane Library databases were searched. Randomized controlled trials that evaluated the effects of CBT in cancer survivors were included. The standardized mean difference (SMD) was used as an effect size indicator. Fifteen studies were included. For the depression score, the pooled results of the random effects model were as follows: pre-treatment versus post-treatment, SMD (95% confidence interval [CI]) = 0.88 (0.46, 1.29), P < 0.001; pre-treatment versus 3-month follow-up, 0.83 (0.09, 1.76), P = 0.08; pre-treatment versus 6-month follow-up, 0.92 (0.27, 1.58), P = 0.006; and pre-treatment versus 12-month follow-up, 0.21 (- 0.28, 0.70), P = 0.40. For the anxiety score, the pooled results of the random effects model were as follows: pre-treatment versus post-treatment, 0.97 (0.58, 1.36), P < 0.001; pre-treatment versus 3-month follow-up, 1.45 (- 0.82, 3.72), P = 0.21; and pre-treatment versus 6-month follow-up, 1.00 (0.17, 1.83), P = 0.02). The pooled result of the fixed effects model for the comparison between pre-treatment and the 12-month follow-up was 0.10 (- 0.16, 0.35; P = 0.45). The subgroup analysis revealed that the geographical location, treatment time and treatment form were not sources of significant heterogeneity. CBT significantly improved the depression and anxiety scores of the cancer survivors; such improvement was maintained until the 6-month follow-up. These findings support recommendations for the use of CBT in survivors of cancer.

Effectiveness and Minimum Effective Dose of App-Based Mobile Health Interventions for Anxiety and Depression Symptom Reduction: Systematic Review and Meta-Analysis

BACKGROUND

Mobile health (mHealth) apps offer new opportunities to deliver psychological treatments for mental illness in an accessible, private format. The results of several previous systematic reviews support the use of app-based mHealth interventions for anxiety and depression symptom management. However, it remains unclear how much or how long the minimum treatment "dose" is for an mHealth intervention to be effective. Just-in-time adaptive intervention (JITAI) has been introduced in the mHealth domain to facilitate behavior changes and is positioned to guide the design of mHealth interventions with enhanced adherence and effectiveness.

OBJECTIVE

Inspired by the JITAI framework, we conducted a systematic review and meta-analysis to evaluate the dose effectiveness of app-based mHealth interventions for anxiety and depression symptom reduction.

METHODS

We conducted a literature search on 7 databases (ie, Ovid MEDLINE, Embase, PsycInfo, Scopus, Cochrane Library (eg, CENTRAL), ScienceDirect, and ClinicalTrials, for publications from January 2012 to April 2020. We included randomized controlled trials (RCTs) evaluating app-based mHealth interventions for anxiety and depression. The study selection and data extraction process followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We estimated the pooled effect size using Hedge g and appraised study quality using the revised Cochrane risk-of-bias tool for RCTs.

RESULTS

We included 15 studies involving 2627 participants for 18 app-based mHealth interventions. Participants in the intervention groups showed a significant effect on anxiety (Hedge g=-.10, 95% CI -0.14 to -0.06, I2=0%) but not on depression (Hedge g=-.08, 95% CI -0.23 to 0.07, I2=4%). Interventions of at least 7 weeks' duration had larger effect sizes on anxiety symptom reduction.

CONCLUSIONS

There is inconclusive evidence for clinical use of app-based mHealth interventions for anxiety and depression at the current stage due to the small to nonsignificant effects of the interventions and study quality concerns. The recommended dose of mHealth interventions and the sustainability of intervention effectiveness remain unclear and require further investigation.

Effect of telehealth interventions on anxiety and depression in cancer patients: A systematic review and meta-analysis of randomized controlled trials

INTRODUCTION

Cancer patients not only experience a variety of problems associated with the treatment of their disease but also a range of psychological problems such as anxiety and depression, which may lead to reduced adherence to treatment and a lower quality of life for cancer patients. Telehealth interventions are widely used for cancer patients, and their effectiveness in improving anxiety and depression in cancer patients is variable and still contradictory.

METHODS

Embase, Pubmed, Web of Science, PsycINFO, CINAHL Complete, and the Cochrane Central Register of Controlled Trials were searched from inception to 19 April 2022. Data synthesis was conducted using STATA 15.0, and scores for anxiety and depression were calculated using standardized mean differences and 95% confidence intervals.

RESULTS

A total of 13125 cancer patients from 68 randomized controlled trials were included in the systematic evaluation. The meta-analysis showed that the telehealth intervention had a significant effect on anxiety (standardized mean differences = -0.40, 95% confidence intervals: -0.6 to 0.2, p < 0.001) and depression (standardized mean differences = -0.48, 95% confidence intervals: -0.67 to 0.28, p < 0.001) in patients with cancer.

DISCUSSION

Telehealth interventions significantly improved anxiety and depression levels in cancer patients compared to traditional care interventions. Breast cancer patients most often received telehealth interventions; electronic device-based and application-based telehealth interventions were more effective than online interventions; short-term interventions were more effective than medium-term and long-term interventions, and different outcome measurement tools led to different intervention outcomes. More high-quality research is needed to explore the effects of telehealth interventions.

A Pilot Study Testing the Efficacy of dCBT in Patients With Cancer Experiencing Sleep Problems

Objective

This pilot study aimed to evaluate the efficacy of a digital cognitive behavioral therapy (dCBT) in patients with cancer experiencing sleep problems.

Methods

A total of 57 participants aged 25–65 years (6M/51F with a mean of 42.80 years and a standard deviation of 14.15 years) were randomly assigned to three groups—21 participants to a dCBT program (HARUToday Sleep), 20 participants to an app-based attentional control program (HARUCard Sleep), and 16 participants to a waitlist control group—and evaluated offline before and after the program completion. Of the 57 participants, there were a total of 45 study completers, 15 participants in each group. The dependent variables were sleep quality scores, measured by the Pittsburgh Sleep Quality Index (PSQI) and health-related quality of life scores, measured using the Short-Form 36 (SF-36), and attentional bias scores from a dot-probe computer task.

Results

For both the intention-to-treat (N = 57) and study-completers analyses (N = 45, 15 for each group), a significant increase supported by a large effect size was found in the quality of sleep score of the HARUToday Sleep group compared to both the app-based attentional control and the waitlist control group. However, no significant changes were found in the quality of life and attentional bias scores.

Conclusion

Our results suggest that the HARUToday Sleep app has the potential to serve as an intervention module to enhance the sleep quality of patients with cancer experiencing sleep problems.

Pilot Randomized Control Trial of an App-Based CBT Program for Reducing Anxiety in Individuals with ASD without Intellectual Disability

This study developed and tested the effectiveness of an app-based cognitive behavioral therapy (CBT) program in alleviating anxiety among adolescents and adults with autism without co-occurring intellectual disability. Thirty participants from 15 to 35 years old were randomly assigned to either the intervention or waitlist control group, and self- and caregiver proxy report questionnaires were administered, accompanied by direct behavior observation before and after the intervention period. There was a significant decrease in anxiety level, an increase in positive affect, and a decline in stereotypic behaviors, hyperactivity, noncompliance, and inappropriate speech in proxy reports for the intervention group, compared to the control group. A significant rise in passive response in the direct observation was also seen in the intervention group.

Web-based mindfulness and skills-based distress reduction for patients with cancer: study protocol of the multicentre, randomised, controlled confirmatory intervention trial Reduct

INTRODUCTION

Many patients with cancer experience severe psychological distress, but as a result of various barriers, few of them receive psycho-oncological support. E-mental health interventions try to overcome some of these barriers and the limitation of healthcare offers, enabling patients with cancer to better cope with psychological distress. In the proposed trial, we aim to assess the efficacy and cost-effectiveness of the manualised e-mental health intervention Make It Training- Mindfulness-Based and Skills-Based Distress Reduction in Oncology. Make It Training is a self-guided and web-based psycho-oncological intervention, which includes elements of cognitive behavioural therapy, mindfulness-based stress reduction and acceptance and commitment therapy. The training supports the patients over a period of 4 months. We expect the Make It Training to be superior to treatment as usual optimised (TAU-O) in terms of reducing distress after completing the intervention (T1, primary endpoint).

METHODS AND ANALYSIS

The study comprises a multicentre, prospective, randomised controlled confirmatory interventional trial with two parallel arms. The proposed trial incorporates four distinct measurement time points: the baseline assessment before randomisation, a post-treatment assessment and 3 and 6 month follow-up assessments. We will include patients who have received a cancer diagnosis in the past 12 months, are in a curative treatment setting, are 18-65 years old, have given informed consent and experience high perceived psychological distress (Hospital Anxiety and Depression Scale ≥13) for at least 1 week. Patients will be randomised into two groups (Make It vs TAU-O). The aim is to allocate 600 patients with cancer and include 556 into the intention to treat analysis. The primary endpoint, distress, will be analysed using a baseline-adjusted ANCOVA for distress measurement once the intervention (T1) has been completed, with study arm as a binary factor, baseline as continuous measurement and study centre as an additional categorical covariate.

ETHICS AND DISSEMINATION

The Ethics Committee of the Medical Faculty Essen has approved the study (21-10076-BO). Results will be published in peer-reviewed journals, conference presentations, the project website, and among self-help organisations.

TRIAL REGISTRATION NUMBER

German Clinical Trial Register (DRKS); DRKS-ID: DRKS00025213.

Human Support in App-Based Cognitive Behavioral Therapies for Emotional Disorders: Scoping Review

BACKGROUND

Smartphone app-based therapies offer clear promise for reducing the gap in available mental health care for people at risk for or people with mental illness. To this end, as smartphone ownership has become widespread, app-based therapies have become increasingly common. However, the research on app-based therapies is lagging behind. In particular, although experts suggest that human support may be critical for increasing engagement and effectiveness, we have little systematic knowledge about the role that human support plays in app-based therapy. It is critical to address these open questions to optimally design and scale these interventions.

OBJECTIVE

The purpose of this study is to provide a scoping review of the use of human support or coaching in app-based cognitive behavioral therapy for emotional disorders, identify critical knowledge gaps, and offer recommendations for future research. Cognitive behavioral therapy is the most well-researched treatment for a wide range of concerns and is understood to be particularly well suited to digital implementations, given its structured, skill-based approach.

METHODS

We conducted systematic searches of 3 databases (PubMed, PsycINFO, and Embase). Broadly, eligible articles described a cognitive behavioral intervention delivered via smartphone app whose primary target was an emotional disorder or problem and included some level of human involvement or support (coaching). All records were reviewed by 2 authors. Information regarding the qualifications and training of coaches, stated purpose and content of the coaching, method and frequency of communication with users, and relationship between coaching and outcomes was recorded.

RESULTS

Of the 2940 titles returned by the searches, 64 (2.18%) were eligible for inclusion. This review found significant heterogeneity across all of the dimensions of coaching considered as well as considerable missing information in the published articles. Moreover, few studies had qualitatively or quantitatively evaluated how the level of coaching impacts treatment engagement or outcomes. Although users tend to self-report that coaching improves their engagement and outcomes, there is limited and mixed supporting quantitative evidence at present.

CONCLUSIONS

Digital mental health is a young but rapidly expanding field with great potential to improve the reach of evidence-based care. Researchers across the reviewed articles offered numerous approaches to encouraging and guiding users. However, with the relative infancy of these treatment approaches, this review found that the field has yet to develop standards or consensus for implementing coaching protocols, let alone those for measuring and reporting on the impact. We conclude that coaching remains a significant hole in the growing digital mental health literature and lay out recommendations for future data collection, reporting, experimentation, and analysis.

Impact of Smartphone App-Based Psychological Interventions for Reducing Depressive Symptoms in People With Depression: Systematic Literature Review and Meta-analysis of Randomized Controlled Trials

Background

Depression is a serious, disabling mental disorder that severely affects quality of life. Patients with depression often do not receive adequate treatment. App-based psychotherapy is considered to have great potential to treat depression owing to its reach and easy accessibility.

Objective

We aim to analyze the impact of app-based psychological interventions for reducing depressive symptoms in people with depression.

Methods

We conducted a systematic literature review and meta-analysis. We searched Medline, Embase, PsycINFO, Web of Science, and Cochrane Central Register of Controlled Trials from inception to December 23, 2020. We selected randomized controlled trials to examine the impact of app-based psychological interventions for reducing depressive symptoms in people with depression. Study selection, data extraction, and critical appraisal (using the Cochrane Risk of Bias tool for randomized studies and the ROBINS-I tool for nonrandomized studies) were conducted independently by 2 reviewers. Where possible, we pooled data using random effects meta-analyses to obtain estimates of the effect size of the intervention. We conducted post hoc meta-regression analyses to explore the factors associated with intervention success.

Results

After screening 3468 unique references retrieved from bibliographic searches and assessing the eligibility of 79 full texts, we identified 12 trials (2859 participants) evaluating 14 different interventions. Of 14 trials, 7 (58%) were conducted in the United States; 3 (25%) trials, in Asia (Japan, South Korea, and China); 1 (8%) trial, in Australia; and 1 (8%) trial, in Germany. Of the 12 trials, 5 (42%) trials presented a low risk of bias. The mean duration of the interventions was 6.6 (SD 2.8) weeks. Two-thirds of the interventions were based on cognitive behavioral therapy alone or included it in combination with cognitive control therapy, positive psychology, brief behavioral activation, or mindfulness- and acceptance-based therapy. With no evidence of publication bias, a pooled analysis of 83% (10/12) of the trials and 86% (12/14) of the interventions showed that app-based interventions, compared with a control group receiving usual care or minimal intervention, produced a moderate reduction in depressive symptoms (standardized mean difference [SMD] −0.51, 95% CI −0.69 to −0.33; 2018/2859, 70.58% of the participants; I²=70%). Our meta-regression analyses indicated that there was a greater reduction in symptoms of depression (P=.04) in trials that included participants with moderate to severe depression (SMD −0.67, 95% CI −0.79 to −0.55), compared with trials with participants exhibiting mild to moderate depression (SMD −0.15, 95% CI −0.43 to −0.12).

Conclusions

App-based interventions targeted at people with depression produce moderate reductions in the symptoms of depression. More methodologically robust trials are needed to confirm our findings, determine which intervention features are associated with greater improvements, and identify those populations most likely to benefit from this type of intervention.

Trial Registration

PROSPERO CRD42019145689; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=145689

Evaluating an engaging and coach-assisted online cognitive behavioral therapy for depression among adolescent and young adult cancer survivors: A pilot feasibility trial

OBJECTIVES

Technology-assisted Cognitive Behavioral Therapy (tCBT) has significant potentials to provide engaging and accessible depression treatment for adolescents and young adults (AYAs) coping with cancer. This study evaluated the feasibility and preliminary efficacy of an engaging and tailorable tCBT - Mind Your Total Health (MYTH) - for AYA cancer survivors' depression.

METHODS

Seventeen AYAs diagnosed with cancer were randomly assigned to either the intervention (MYTH) or control group. The intervention group (n = 10) received eight weekly 30-35 minutes coach-assisted tCBT (MYTH), while the control group (n = 7) received active control, BeatingtheBlues (BtB).

RESULTS

Eight out of ten participants in the MYTH group completed at least six out of eight sessions, suggesting strong feasibility (80% completion rate) among AYAs with cancer. Efficacy outcomes indicated that participants in the MYTH group reported significant pre- and post-treatment reduction in depression, t(9) = 5.25, p < 0.001, and anxiety, t(9)=5.07, p < 0.001. Notably, participants in the MYTH group reported significantly lower post-treatment depression than participants in the BtB group, t(15) = 2.40, p < 0.05. The between-group difference reflected a significant between-group treatment effect size, d = 1.12, p < 0.05.

DISCUSSION

This engaging, tailorable, and coach-assisted tCBT intervention is promising in alleviating depression and anxiety among AYA cancer survivors. Future research needs to include larger sample size and a more diverse patient population.

The efficacy of web or mobile-based interventions to alleviate emotional symptoms in people with advanced cancer: a systematic review and meta-analysis

PURPOSE

This review aims to critically evaluate the efficacy of web or mobile-based (WMB) interventions impacting emotional symptoms in patients with advanced cancer.

METHOD

Articles published from 1991 to 2019 were identified using PubMed, PsycINFO, CINAHL, and Scopus. Only interventions involving adults with advanced cancer using a WMB intervention to manage emotional symptoms were included. Risk of bias was assessed using ROBINS-I and ROB2 tools. Studies that reported mean symptom scores were pooled using a random-effects model, and standardized mean difference (SMD) and 95% CIs were calculated.

RESULTS

Twenty-three of the 1177 screened studies met the inclusion criteria, and a total sample of 2558 patients were included. The sample was 57% female, and 33% had advanced cancer with mean age of 57.15 years. Thirteen studies evaluated anxiety, nineteen evaluated depression, and eleven evaluated distress. Intervention components included general information, tracking, communication, multimedia choice, interactive online activities, tailoring/feedback, symptom management support content, and self-monitoring. Overall pooled results showed that WMB interventions' effects on decreasing anxiety (SMD - 0.20, - 0.45 to 0.05, I² = 72%), depression (SMD - 0.10, - 0.30 to 0.11, I² = 73%), and distress (SMD - 0.20, - 0.47 to 0.06, I² = 60%) were not significant for randomized controlled trials (RCTs). In contrast, WMB interventions significantly decreased symptoms of anxiety (p = .002) in a sub-group analysis of non-RCTs.

CONCLUSION

This meta-analysis demonstrated that WMB interventions were not efficacious in alleviating emotional symptoms in adults with advanced cancer. Considering the diversity of interventions, the efficacy of WMB interventions and its impacts on emotional symptoms should be further explored.

A Systematic Review of the Effectiveness, Content, and Usage Patterns of Mobile Mental Health Interventions on Smartphone Platforms for Anxiety Symptoms

"This systematic review aims to examine the content, usage pattern and efficacy of mobile mental health interventions in reducing anxiety symptoms. A search of 10 electronic databases returned 44 408 studies in total and 27 studies met the inclusion criteria, including 4460 participants in total. The rate of attrition was 27% (SD = 22) among the participants who initiated the app use. The rate of significant reductions in measures of anxiety symptoms was 87% from within-subjects pretest to posttest assessments, yet this rate dropped to 46% when compared to a waitlist/control group. A vast majority of the studies used cognitive and/or behavioral interventions (N = 26, 96%), a few studies included professional support (N = 11, 41%), a structured form of delivering the interventions (N = 8, 30%) or tailored it to users’ needs (N = 6, 22%). Few studies reported the actual time spent on the app per week (N = 4, M = 63.76, SD = 62.17). The mobile mental health interventions were effective in reducing anxiety symptoms, yet this effectiveness eroded compared to control groups. There is a need to develop consistent ways of reporting the usage patterns and testing evidence-based interventions other than cognitive behavioral treatments."

Can mHealth interventions improve quality of life of cancer patients? A systematic review and meta-analysis

mHealth can be used to deliver interventions to optimize Health-related quality of life (HRQoL) of cancer patients. In this systematic-review and meta-analysis, we explored the possible impact of health interventions delivered via mHealth tools on HRQoL of cancer patients. The systematic literature search was performed on July 20, 2019, to identify studies that evaluated the impact of mHealth intervention on HRQoL of cancer patients. We identified 25 studies (17 randomized controlled trials and 8 pre-post design studies; 957 patients) that evaluated mHealth interventions. The most commonly studied mHealth interventions included physical activity/ fitness interventions (9 studies), cognitive behavioral therapy (6 studies), mindfulness/ stress management (3 studies). In the majority of studies, mHealth interventions were associated with an improved HRQoL of cancer patients. The meta-analysis of the identified studies supported the positive effect of mHealth interventions for HRQoL of cancer patients. mHealth interventions are promising for improving HRQoL of cancer patients.

Effectiveness of an app-based cognitive behavioral therapy program for postpartum depression in primary care: A randomized controlled trial

OBJECTIVE

The objective of this study was to examine the effect of mobile phone applications (App) based cognitive behavioral therapy (CBT) on postpartum depression.

METHOD

A non-blinded parallel-group randomized controlled trial was conducted. The study population consisted of women attended to three health care centers in Kerman, Iran. Participants were recruited between September and November 2018, and randomized 1:1 to either the intervention group (mobile application access) or control group (no mobile application access). All participants completed the Edinburgh Postnatal Depression Scale (EPDS) at the baseline and 2 months after baseline. Data were analyzed using inferential statistics including chi-square, independent sample t-test, paired t-test and linear regression.

RESULTS

A total of 75 women with an average age of 27 years participated in this study. Before the intervention, there was no statistically significant difference between the EPDS score between the two groups (p > 0.001). However, in the intervention group, the average EPDS score after intervention was 8.18 and in the control group was 15.05, which was statistically significant (p < 0.001).

CONCLUSION

These findings provide proof that providing a CBT program using a mobile application can lead to clinically important improvements in outcomes for mothers who suffer from postpartum depression.