Smartphone-Based Psychotherapeutic Micro-Interventions to Improve Mood in a Real-World Setting

Characterizing phenotypes and clinical and health utilization associations of young people with chronic pain: latent class analysis using the electronic Persistent Pain Outcomes Collaboration database

ABSTRACT

Using the Australiasian electronic Persistent Pain Outcomes Collaboration, a binational pain registry collecting standardized clinical data from paediatric ePPOC (PaedsePPOC) and adult pain services (AdultePPOC), we explored and characterized nationally representative chronic pain phenotypes and associations with clinical and sociodemographic factors, health care utilization, and medicine use of young people. Young people ≥15.0 and <25.0 years captured in PaedePPOC and AdultePPOC Australian data registry were included. Data from 68 adult and 12 paediatric pain services for a 5-year period January 2018 to December 2022 (first episode, including treatment information) were analysed. Unsupervised latent class analysis was applied to explore the existence of distinct pain phenotypes, with separate models for both services. A 3-phenotype model was selected from both paediatric and adult ePPOC data, with 693 and 3518 young people included, respectively (at least one valid indicator variable). Indicator variables for paediatric models were as follows: pain severity, functional disability (quasisurrogate "pain interference"), pain count, pain duration, pain-related worry (quasisurrogate "catastrophizing"), and emotional functioning; and, for adult models: pain severity, pain interference, pain catastrophizing, emotional functioning, and pain self-efficacy. From both services, 3 similar phenotypes emerged ("low," "moderate," "high"), characterized by an increasing symptom-severity gradient in multidimensional pain-related variables, showing meaningful differences across clinical and sociodemographic factors, health service utilization, and medicines use. Derived phenotypes point to the need for novel care models that differentially respond to the needs of distinct groups of young people, providing timely, targeted, age-appropriate care. To effectively scale such care, digital technologies can be leveraged to augment phenotype-informed clinical care.

Perceptions and effectiveness of episodic future thinking as digital micro-interventions based on mobile health technology

Objective

Delay discounting denotes the tendency for humans to favor short-term immediate benefits over long-term future benefits. Episodic future thinking (EFT) is an intervention that addresses this tendency by having a person mentally "pre-experience" a future event to increase the perceived value of future benefits. This study explores the feasibility of using mobile health (mHealth) technology to deliver EFT micro-interventions. Micro-interventions are small, focused interventions aiming to achieve goals while matching users' often limited willingness or capacity to engage with interventions. We aim to explore whether EFT delivered as digital micro-interventions can reduce delay discounting, the users' perceptions, and if there are differences between regular EFT and goal-oriented EFT (gEFT), a variant where goals are embedded into future events.

Method

A randomized study was conducted with 208 participants allocated to either gEFT, EFT, or a control group for a 21-day study.

Results

Results indicate intervention groups when combined achieved a significant reduction of Δ log k = - .80 in delay discounting (p = .017 ) compared to the control. When split into gEFT and EFT separately only the reduction of Δ log k = .96 in EFT delay discounting was significant (p = .045 ). We further explore and discuss thematic user perceptions.

Conclusions

Overall, user perceptions indicate gEFT may be slightly better for use in micro-interventions. However, perceptions also indicate that audio-based EFT micro-interventions were not always preferable to users, with findings suggesting that future EFT micro-interventions should be delivered using different forms of multimedia based on user preference and context and supported by other micro-interventions to maintain interest.

Inside the mindful moment: The effects of brief mindfulness practice on large-scale network organization and intimate partner aggression

Mindfulness can produce neuroplastic changes that support adaptive cognitive and emotional functioning. Recently interest in single-exercise mindfulness instruction has grown considerably because of the advent of mobile health technology. Accordingly, the current study sought to extend neural models of mindfulness by investigating transient states of mindfulness during single-dose exposure to focused attention meditation. Specifically, we examined the ability of a brief mindfulness induction to attenuate intimate partner aggression via adaptive changes to intrinsic functional brain networks. We employed a dual-regression approach to examine a large-scale functional network organization in 50 intimate partner dyads (total n = 100) while they received either mindfulness (n = 50) or relaxation (n = 50) instruction. Mindfulness instruction reduced coherence within the Default Mode Network and increased functional connectivity within the Frontoparietal Control and Salience Networks. Additionally, mindfulness decoupled primary visual and attention-linked networks. Yet, this induction was unable to elicit changes in subsequent intimate partner aggression, and such aggression was broadly unassociated with any of our network indices. These findings suggest that minimal doses of focused attention-based mindfulness can promote transient changes in large-scale brain networks that have uncertain implications for aggressive behavior.

A short-form drama series created for the digital media environment: A randomised controlled trial exploring effects on girls' body satisfaction, acceptance of appearance diversity, and appearance-related internalised racism

'Edutainment' micro-interventions are a scalable public health strategy that can challenge media-related body image pressures and race- and weight- based stigma. This study evaluated the impact of viewing a brief, theoretically-informed, short-form drama episode on Black and non-Black adolescent girls' body image, acceptance of diversity of appearance (assessed by acceptance of an individual in a larger body and a Black individual), and appearance-related internalised racism (among Black girls only). The fictional drama depicted characters of diverse body sizes and race/ethnicities, with each episode focusing on a risk or protective factor for body image concerns among adolescent girls (e.g., appearance-related teasing and conversations). Participants (N = 686; 50.4 % Black, 49.6 % non-Black) aged 13-18 (Mage = 15.72 years) were randomly allocated to view either the first episode of this series (focused on social media's unrealistic appearance ideals and strategies to resist pressures) or a non-body-image-related control video. Findings revealed no significant differences in body satisfaction between conditions but significant improvements in the acceptance of appearance diversity among all girls who viewed the body image episode. Black girls who viewed this episode experienced significant improvements to appearance-related internalised racism. Edutainment micro-interventions constitute a promising avenue for promoting acceptance of appearance diversity and reducing appearance-related internalised racism.

Smartphone-Based Psychotherapeutic Interventions in Blended Care of Cancer Survivors: Nested Randomized Clinical Trial

BACKGROUND

Cancer is related to not only physical but also mental suffering. Notably, body image disturbances are highly relevant to cancer-related changes often persisting beyond recovery from cancer. Scalable and low-barrier interventions that can be blended with face-to-face psychotherapy for cancer survivors are highly warranted.

OBJECTIVE

The aim of the study is to investigate whether smartphone-based bodily interventions are more effective to improve the mood of patients with cancer than smartphone-based fairy tale interventions (control intervention).

METHODS

We recruited patients with cancer in 2 Swiss hospitals and conducted daily, fully automated smartphone-based interventions 6 times a week for 5 consecutive weeks, blended with weekly face-to-face group body psychotherapy. We applied 2 types of smartphone-based interventions using a within-subject design, randomly assigning patients daily to either bodily interventions or fairy tales. Each intervention type was presented 3 times a week. For this secondary analysis, 3-level mixed models were estimated with mood assessed by the 3 Multidimensional Mood Questionnaire subscales for good-bad mood, wakefulness, and calmness as key indicators. In addition, the effects on experience of presence, vitality, and burden assessed with visual analog scales were investigated.

RESULTS

Based on the data from s=732 interventions performed by 36 participants, good-bad mood improved (β=.27; 95% CI 0.062-0.483), and participants became calmer (β=.98; 95% CI 0.740-1.211) following smartphone-based interventions. Wakefulness did not significantly change from pre- to postsmartphone-based intervention (β=.17; 95% CI -0.081 to 0.412). This was true for both intervention types. There was no interaction effect of intervention type with change in good-bad mood (β=-.01; 95% CI -0.439 to 0.417), calmness (β=.22; 95% CI -0.228 to 0.728), or wakefulness (β=.14; 95% CI -0.354 to 0.644). Experience of presence (β=.34; 95% CI 0.271-0.417) and vitality (β=.35; 95% CI 0.268-0.426) increased from pre- to postsmartphone-based intervention, while experience of burden decreased (β=-0.40; 95% CI -0.481 to 0.311). Again, these effects were present for both intervention types. There were no significant interaction effects of intervention type with pre- to postintervention changes in experience of presence (β=.14; 95% CI -0.104 to 0.384), experience of vitality (β=.06; 95% CI -0.152 to 0.265), and experience of burden (β=-.16; 95% CI -0.358 to 0.017).

CONCLUSIONS

Our results suggest that both smartphone-based audio-guided bodily interventions and fairy tales have the potential to improve the mood of cancer survivors.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03707548; https://clinicaltrials.gov/study/NCT03707548.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s40359-019-0357-1.

Reliability of self-reported dispositional mindfulness scales and their association with working memory performance and functional connectivity

We systematically investigated the link between trait mindfulness scores and functional connectivity (FC) features or behavioral data, to emphasize the importance of the reliability of self-report mindfulness scores. Sixty healthy young male participants underwent two functional MRI runs with three mindfulness or mind-wandering task blocks with an N-back task (NBT) block. The data from 49 participants (age: 23.3 ± 2.8) for whom two sets of the self-reported Mindfulness Attention Awareness Scale (MAAS) and NBT performance were available were analyzed. We divided participants into two groups based on the consistency level of their MAAS scores (i.e., a "consistent" and an "inconsistent" group). Then, the association between the MAAS scores and FC features or NBT performance was investigated using linear regression analysis with p-value correction and bootstrapping. Meaningful associations (a) between MAAS and NBT accuracy (slope = 0.41, CI = [0.10, 0.73], corrected p < 0.05), (b) between MAAS and the FC edges in the frontoparietal network, and (c) between the FC edges and NBT performance were only observed in the consistent group (n = 26). Our findings demonstrate the importance of appropriate screening mechanisms for self-report-based dispositional mindfulness scores when trait mindfulness scores are combined with neuronal features and behavioral data.

Within-day bidirectional associations between physical activity and affect: A real-time ambulatory study in persons with and without depressive and anxiety disorders

BACKGROUND

Ambulatory assessments offer opportunities to study physical activity level (PAL) and affect at the group and person-level. We examined bidirectional associations between PAL and affect in a 3-h timeframe and evaluated whether associations differ between people with and without current or remitted depression/anxiety.

METHODS

Two-week ecological momentary assessment (EMA) and actigraphy data of 359 participants with current (n = 93), remitted (n = 176), or no (n = 90) Composite International Diagnostic Interview depression/anxiety diagnoses were obtained from the Netherlands Study of Depression and Anxiety. Positive affect (PA) and negative affect (NA) were assessed by EMA 5 times per day. Average PAL between EMA assessments were calculated from actigraphy data.

RESULTS

At the group-level, higher PAL was associated with subsequent higher PA (b = 0.109, p < .001) and lower NA (b = -0.043, p < .001), while higher PA (b = 0.066, p < .001) and lower NA (b = -0.053, p < .001) were associated with subsequent higher PAL. The association between higher PAL and subsequent lower NA was stronger for current depression/anxiety patients than controls (p = .01). At the person-level, analyses revealed heterogeneity in bidirectional associations.

CONCLUSIONS

Higher PAL may improve affect, especially among depression/anxiety patients. As the relationships vary at the person-level, ambulatory assessments may help identify who would benefit from behavioral interventions.

Finding My Way from clinical trial to open access dissemination: comparison of uptake, adherence, and psychosocial outcomes of an online program for cancer-related distress

PURPOSE

Few digital psycho-oncology programs have been adopted into routine practice; how these programs are used after trial completion remains unexplored. To address this, the present study transitioned our evidence-based 6-module CBT-based program, Finding My Way, into open access (OA) after completion of the RCT, and compared uptake, usage, and psychosocial outcomes to the earlier RCT.

METHODS

Recruitment was passive, via promotion through (1) media and social media releases, (2) public lectures, (3) radio interviews and podcasts, and (4) clinician-initiated referral. Measures included number of enrolled users, number of modules completed, and pre- and optional post-measures of distress and quality of life (QOL).

RESULTS

Uptake was lower in OA (n = 120; 63% of RCT). Usage was markedly lower: 1.5 modules were completed on average (vs 3.7 in RCT), and only 13% completed a 'therapeutic dose' of 4 + modules (vs. 50% in RCT). Research attrition was high; n = 13 completed post-measures. OA users were more sociodemographically and clinically diverse than RCT users, had higher baseline distress (OA M_pre = 36.7, SD = 26.5; RCT M_pre = 26.5, SD = 21.7), and reported larger pre-post reductions than their RCT counterparts (OA M_post = 23.9, SD = 20.7; RCT M_post = 21.2, SD = 21.2). Moderate improvements in mental QOL occurred during OA (M_pre = 37.3, SD = 12.6; M_post = 44.5, SD = 12.1), broadly replicating RCT findings.

CONCLUSION

Findings that OA users were more medically and sociodemographically diverse and distressed at baseline than their RCT counterparts, and - despite having lower usage of the program - achieved larger changes from baseline to post-program, will help to shape future intervention design, tailoring, and dissemination.

Insomnia as an Unmet Need in Chronic Hematologic Cancer Patients: A study design of a randomized controlled trial evaluating a consumer-based meditation app for treatment of sleep disturbance (Preprint)

Background

To address the need for long-term, accessible, nonpharmacologic interventions targeting sleep in patients with chronic hematological cancer, we propose the first randomized controlled trial to determine the effects of a consumer-based mobile meditation app, Calm, on sleep disturbance in this population.

Objective

This study aims to test the efficacy of daily meditation delivered via Calm compared with a health education podcast control group in improving the primary outcome of self-reported sleep disturbance, as well as secondary sleep outcomes, including sleep impairment and sleep efficiency; test the efficacy of daily meditation delivered via Calm compared with a health education podcast control group on inflammatory markers, fatigue, and emotional distress; and explore free-living use during a 12-week follow-up period and the sustained effects of Calm in patients with chronic hematological cancer.

Methods

In a double-blinded randomized controlled trial, we will recruit 276 patients with chronic hematological cancer to an 8-week app-based wellness intervention—the active, daily, app-based meditation intervention or the health education podcast app control group, followed by a 12-week follow-up period. Participants will be asked to use their assigned app for at least 10 minutes per day during the 8-week intervention period; complete web-based surveys assessing self-reported sleep disturbance, fatigue, and emotional distress at baseline, 8 weeks, and 20 weeks; complete sleep diaries and wear an actigraphy device during the 8-week intervention period and at 20 weeks; and complete blood draws to assess inflammatory markers (tumor necrosis factor-α, interleukin-6, interleukin-8, and C-reactive protein) at baseline, 8 weeks, and 20 weeks.

Results

This project was funded by the National Institutes of Health National Cancer Institute (R01CA262041). The projects began in April 2022, and study recruitment is scheduled to begin in October 2022, with a total project duration of 5 years. We anticipate that we will be able to achieve our enrollment goal of 276 patients with chronic hematological cancers within the allotted project time frame.

Conclusions

This research will contribute to broader public health efforts by providing researchers and clinicians with an evidence-based commercial product to improve sleep in the long term in an underserved and understudied cancer population with a high incidence of sleep disturbance.

Trial Registration

ClinicalTrials.gov NCT05294991; https://clinicaltrials.gov/ct2/show/NCT05294991

International Registered Report Identifier (IRRID)

PRR1-10.2196/39007

Intervening on psychopathology networks: Evaluating intervention targets through simulations

Identifying the different influences of symptoms in dynamic psychopathology models may hold promise for increasing treatment efficacy in clinical applications. Dynamic psychopathology models study the behavioral patterns of symptom networks, where symptoms mutually enforce each other. Interventions could be tailored to specific symptoms that are most effective at lowering symptom activity or that hinder the further development of psychopathology. Simulating interventions in psychopathology network models fits in a novel tradition where symptom-specific perturbations are used as in silico interventions. Here, we present the NodeIdentifyR algorithm (NIRA) to identify the projected most efficient, symptom-specific intervention target in a network model (i.e., the Ising model). We implemented NIRA in a freely available R package. The technique studies the projected effects of symptom-specific interventions by simulating data while symptom parameters (i.e., thresholds) are systematically altered. The projected effect of these interventions is defined in terms of the expected change in overall symptom activity across simulations. With this algorithm, it is possible to study (1) whether symptoms differ in their projected influence on the behavior of the symptom network and, if so, (2) which symptom has the largest projected effect in lowering or increasing overall symptom activation. As an illustration, we apply the algorithm to an empirical dataset containing Post-Traumatic Stress Disorder symptom assessments of participants who experienced the Wenchuan earthquake in 2008. The most important limitations of the method are discussed, as well as recommendations for future research, such as shifting towards modeling individual processes to validate these types of simulation-based intervention methods.

Mobile Apps That Promote Emotion Regulation, Positive Mental Health, and Well-being in the General Population: Systematic Review and Meta-analysis

BACKGROUND

Among the general public, there appears to be a growing need and interest in receiving digital mental health and well-being support. In response to this, mental health apps (MHapps) are becoming available for monitoring, managing, and promoting positive mental health and well-being. Thus far, evidence supports favorable outcomes when users engage with MHapps, yet there is a relative paucity of reviews on apps that support positive mental health and well-being.

OBJECTIVE

We aimed to systematically review the available research on MHapps that promote emotion regulation, positive mental health, and well-being in the general population aged 18-45 years. More specifically, the review aimed at providing a systematic description of the theoretical background and features of MHapps while evaluating any potential effectiveness.

METHODS

A comprehensive literature search of key databases, including MEDLINE (via Ovid), EMBASE (via Ovid), PsycINFO (via Ovid), Web of Science, and the Cochrane Register of Controlled Trials (CENTRAL), was performed until January 2021. Studies were included if they described standalone mental health and well-being apps for adults without a formal mental health diagnosis. The quality of all studies was assessed against the Mixed Methods Appraisal Tool. In addition, the Cochrane Risk-of-Bias tool (RoB-2) was used to assess randomized control trials (RCTs). Data were extracted using a modified extraction form from the Cochrane Handbook of Systematic Reviews. A narrative synthesis and meta-analysis were then undertaken to address the review aims.

RESULTS

In total, 3156 abstracts were identified. Of these, 52 publications describing 48 MHapps met the inclusion criteria. Together, the studies evaluated interventions across 15 countries. Thirty-nine RCTs were identified suggesting some support for the role of individual MHapps in improving and promoting mental health and well-being. Regarding the pooled effect, MHapps, when compared to controls, showed a small effect for reducing mental health symptoms (k=19, Hedges g=-0.24, 95% CI -0.34 to -0.14; P<.001) and improving well-being (k=13, g=0.17, 95% CI 0.05-0.29, P=.004), and a medium effect for emotion regulation (k=6, g=0.49, 95% CI 0.23-0.74, P<.001). There is also a wide knowledge base of creative and innovative ways to engage users in techniques such as mood monitoring and guided exercises. Studies were generally assessed to contribute unclear or a high risk of bias, or to be of medium to low methodological quality.

CONCLUSIONS

The emerging evidence for MHapps that promote positive mental health and well-being suggests promising outcomes. Despite a wide range of MHapps, few apps specifically promote emotion regulation. However, our findings may position emotion regulation as an important mechanism for inclusion in future MHapps. A fair proportion of the included studies were pilot or feasibility trials (k=17, 33%), and full-scale RCTs reported high attrition rates and nondiverse samples. Given the number and pace at which MHapps are being released, further robust research is warranted to inform the development and testing of evidence-based programs.

A Casual Video Game With Psychological Well-being Concepts for Young Adolescents: Protocol for an Acceptability and Feasibility Study

Background

Many face-to-face and digital therapeutic supports are designed for adolescents experiencing high levels of psychological distress. However, promoting psychological well-being among adolescents is often neglected despite significant short-term and long-term benefits.

Objective

This research has 3 main objectives: (1) to assess the acceptability of Match Emoji, a casual video game with psychological well-being concepts among 13-15-year-old students in a New Zealand secondary school; (2) to identify the feasibility of the research process; and (3) to explore the preliminary well-being and therapeutic potential of Match Emoji.

Methods

Approximately 40 participants aged 13-15 years from a local secondary college in Wellington, New Zealand, will be invited to download and play Match Emoji 3-4 times a week for 5-15 minutes over a 2-week period. Participants will complete 4 assessments at baseline, postintervention, and 3 weeks later to assess psychological well-being and therapeutic changes. Statistical analysis will be used to synthesize data from interviews and triangulated with assessment changes and game analytics. This synthesis will help to assess the acceptability and feasibility of the Match Emoji.

Results

The key outputs from the project will include the acceptability, feasibility, and therapeutic potential of Match Emoji. It is anticipated that participants will have finished playing the recommended game play regimen by August 2021 with analysis of results completed by October 2021.

Conclusions

Data from the study are expected to inform future research on Match Emoji including a randomized controlled trial and further adjustments to the design and development of the game.

International Registered Report Identifier (IRRID)

PRR1-10.2196/31588

Ecological momentary interventions for mental health: A scoping review

BACKGROUND

The development of mobile computing technology has enabled the delivery of psychological interventions while people go about their everyday lives. The original visions of the potential of these "ecological momentary interventions" were presented over a decade ago, and the widespread adoption of smartphones in the intervening years has led to a variety of research studies exploring the feasibility of these aspirations. However, there is a dearth of research describing the different dimensions, characteristics, and features of these interventions, as constructed.

OBJECTIVE

To provide an overview of the definitions given for "ecological momentary interventions" in the treatment of common mental health disorders, and describe the set of technological and interaction possibilities which have been used in the design of these interventions.

METHODS

A systematic search identified relevant literature published between 2009 and 2020 in the PubMed, PsycInfo, and ACM Guide to the Computing Literature databases. Following screening, data were extracted from eligible articles using a standardized extraction worksheet. Selected articles were then thematically categorized.

RESULTS

The search identified 583 articles of which 64 met the inclusion criteria. The interventions target a range of mental health problems, with diverse aims, intervention designs and evaluation approaches. The studies employed a variety of features for intervention delivery, but recent research is overwhelmingly comprised of studies based on smartphone apps (30 of 42 papers that described an intervention). Twenty two studies employed sensors for the collection of data in order to provide just-in-time support or predict psychological states.

CONCLUSIONS

With the shift towards smartphone apps, the vision for EMIs has begun to be realised. Recent years have seen increased exploration of the use of sensors and machine learning, but the role of humans in the delivery of EMI is also varied. The variety of capabilities exhibited by EMIs motivates development of a more precise vocabulary for capturing both automatic and human tailoring of these interventions.

The effectiveness of brief animated films as a scalable micro-intervention to improve children's body image: A randomised controlled trial

Creating media to counteract the plethora of media and advertising that perpetuates negative body image is a scalable public health strategy that can be achieved through innovative micro-interventions. This study examined the immediate and short-term (one-week follow-up) impact of viewing brief, evidence-informed animated films on young people's body image, media literacy, and self-efficacy in addressing appearance teasing. The animations were co-created through a partnership among academics, a personal care brand's social mission, and a children's television channel. Participants aged 7-14 (N = 1329, 49 % girls) were randomised into one of three viewing conditions: Appearance Teasing & Bullying, Media & Celebrities, or a non-appearance-related animation. Contrary to predictions, all three animations were comparably effective at eliciting intervention effects. For girls and boys aged 7-10, all three animations immediately improved state body satisfaction (+boys aged 11-14; Cohen's ds = .60-.71) and led to sustained improvements in trait media literacy (+girls aged 11-14; ds = .38-.61), sensitivity to appearance teasing (+boys aged 11-14; ds = .35-.48), and willingness to ignore appearance teasing (7-10 years only; ds = .34-.74) at one-week follow-up. Findings indicate that children's media is an effective medium for developing micro-interventions.

A brief positive psychological intervention prior to a potentially stressful task facilitates more challenge-like cardiovascular reactivity in high trait anxious individuals

When confronted with stress, anxious individuals tend to evaluate the demands of an upcoming encounter as higher than the available resources, thus, indicating threat evaluations. Conversely, evaluating available resources as higher than the demands signals challenge. Both types of evaluations have been related to specific cardiovascular response patterns with higher cardiac output relative to peripheral resistance indicating challenge and higher peripheral resistance relative to cardiac output signaling threat. The aim of this research was to evaluate whether a brief positive psychological exercise (best possible selves intervention) prior to a potentially stress‐evoking task shifted the cardiovascular profile in trait anxious individuals from a threat to a challenge type. We randomly assigned 74 participants to either a best possible selves or a control exercise prior to performing a sing a song stress task and assessed their level of trait anxiety. Cardiac output (CO) and total peripheral resistance (TPR) were continuously recorded through baseline, preparation, stress task, and recovery, respectively, as well as self‐reported affect. Trait anxiety was related to higher CO in the best possible selves group and lower CO in the control group. While high trait anxious individuals in the control group showed increasing TPR reactivity, they exhibited a nonsignificant change in the best possible selves group. Moreover, in the latter group a stress‐related decrease in positive affect in high trait anxious participants was prevented. Findings suggest that concentrating on strengths and positive assets prior to a potentially stressful encounter could trigger a more adaptive coping in trait anxious individuals.

According to the biopsychosocial model anxious individuals may evaluate motivated performance tasks as threatening, resulting in stronger vascular than cardiac responding. We found that a positive writing exercise (best possible selves‐intervention) prior to a laboratory stress task led to a more challenge‐type response profile (i.e., higher cardiac output relative to peripheral resistance) in trait anxious individuals, suggesting that positive psychological micro‐interventions could foster more adaptive coping.

Digital Micro Interventions for Behavioral and Mental Health Gains: Core Components and Conceptualization of Digital Micro Intervention Care

Although many people access publicly available digital behavioral and mental health interventions, most do not invest as much effort in these interventions as hoped or intended by intervention developers, and ongoing engagement is often low. Thus, the impact of such interventions is minimized by a misalignment between intervention design and user behavior. Digital micro interventions are highly focused interventions delivered in the context of a person’s daily life with little burden on the individual. We propose that these interventions have the potential to disruptively expand the reach of beneficial therapeutics by lowering the bar for entry to an intervention and the effort needed for purposeful engagement. This paper provides a conceptualization of digital micro interventions, their component parts, and principles guiding their use as building blocks of a larger therapeutic process (ie, digital micro intervention care). The model represented provides a structure that could improve the design, delivery, and research on digital micro interventions and ultimately improve behavioral and mental health care and care delivery.

Personalized prediction of smartphone-based psychotherapeutic micro-intervention success using machine learning

BACKGROUND

Tailoring healthcare to patients' individual needs is a central goal of precision medicine. Combining smartphone-based interventions with machine learning approaches may help attaining this goal. The aim of our study was to explore the predictability of the success of smartphone-based psychotherapeutic micro-interventions in eliciting mood changes using machine learning.

METHODS

Participants conducted daily smartphone-based psychotherapeutic micro-interventions, guided by short video clips, for 13 consecutive days. Participants chose one of four intervention techniques used in psychotherapeutic approaches. Mood changes were assessed using the Multidimensional Mood State Questionnaire. Micro-intervention success was predicted using random forest (RF) tree-based mixed-effects logistic regression models. Data from 27 participants were used, totaling 324 micro-interventions, randomly split 100 times into training and test samples, using within-subject and between-subject sampling.

RESULTS

Mood improved from pre- to post-intervention in 137 sessions (initial success-rate: 42.3%). The RF approach resulted in predictions of micro-intervention success significantly better than the initial success-rate within and between subjects (positive predictive value: 0.732 (95%-CI: 0.607; 0.820) and 0.698 (95%-CI: 0.564; 0.805), respectively). Prediction quality was highest using the RF approach within subjects (rand accuracy: 0.75 (95%-CI: 0.641; 0.840), Matthew's correlation coefficient: 0.483 (95%-CI: 0.323; 0.723)).

LIMITATIONS

The RF approach does not allow firm conclusions about the exact contribution of each factor to the algorithm's predictions. We included a limited number of predictors and did not compare whether predictability differed between psychotherapeutic techniques.

CONCLUSIONS

Our findings may pave the way for translation and encourage scrutinizing personalized prediction in the psychotherapeutic context to improve treatment efficacy.

A clinical trial of group-based body psychotherapy to improve bodily disturbances in post-treatment cancer patients in combination with randomized controlled smartphone-triggered bodily interventions (KPTK): study protocol

BACKGROUND

Disturbances in bodily well-being represent one key source of suffering and impairment related to cancer. There is growing evidence that body psychotherapy (BPT) is efficacious for the treatment of various mental disorders. However, with regard to cancer patients, evidence is scarce. The aims of this project are to evaluate whether bodily disturbances in post-treatment cancer patients can be improved by group BPT, and to estimate the efficacy of intermittent smartphone-triggered bodily interventions.

METHODS

The project is a bi-center study with two participating centers in Switzerland, applying a pre-post convergent parallel design of a weekly group BPT using a waiting-period comparator, including a nested RCT during the group BPT phase. During the BPT phase, either a smartphone-triggered bodily intervention or a smartphone-triggered control intervention is provided at random over 5 consecutive weeks, on 6 days weekly. Patients who had received curatively intended treatment for any malignant neoplasm (treatment being completed ≥3 months) and are suffering from bodily disturbances are screened to assess eligibility. Sample size estimation is based on an a priori power analysis. We plan to include a total of N = 88 subjects, aiming at at least 52 completers. Patients are surveyed three times (baseline assessment (T0), pre- (T1) and post-intervention assessment (T2)), and on a daily basis along BPT during five consecutive weeks. The primary outcome, bodily disturbances, is assessed using the 'Body Image Scale'(BIS). For the secondary outcomes standardized questionnaires are used to assess changes in experience of presence and vitality, mood, body mindfulness, somatic symptoms and somatic symptom disorder, quality of life, anxiety, and depression including suicidal tendency, vitality and mental health, as well as group cohesion. Using semi standardized interviews (at T0 and T2), we aim to explore the relation of BPT with bodily disturbances and body image in post-treatment cancer patients, as well as the acceptance and burden of the intervention.

DISCUSSION

The proposed study has strong potential benefits for cancer patients, as it may pave the way for new therapeutic approaches to treat bodily disturbances, which persist despite curative tumor therapy. These may considerably improve patients' biopsychosocial well-being and quality of life.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03707548 (registered 9 October 2018; retrospectively registered).

Cognitive performance of breast cancer survivors in daily life: Role of fatigue and depressed mood

OBJECTIVE

Cancer and its treatment are associated with long-term cognitive deficits. However, most studies of cancer patients have used traditional, office-based cognitive evaluations instead of assessing patients in their daily lives. Recent research in cognitive aging suggests that variability in performance may be a sensitive indicator of cognitive decline. Using ecological momentary assessment (EMA), we examined cognitive variability among breast cancer survivors and evaluated whether ratings of fatigue and depressed mood were associated with cognition.

METHODS

Participants were 47 women (M age = 53.3 years) who completed treatment for early stage breast cancer 6 to 36 months previously. Smartphones were preloaded with cognitive tests measuring processing speed, executive functioning, and memory, as well as rating scales for fatigue and depressed mood. Participants were prompted five times per day over a 14-day period to complete EMA cognitive tasks and fatigue and depressed mood ratings.

RESULTS

Cognitive variability was observed across all three EMA cognitive tasks. Processing speed responses were slower at times that women rated themselves as more fatigued than their average (P < .001). Ratings of depressed mood were not associated with cognition.

CONCLUSIONS

This study is the first to report cognitive variability in the daily lives of women treated for breast cancer. Performance was worse on a measure of processing speed at times when a woman rated her fatigue as greater than her own average. The ability to identify moments when cognition is most vulnerable may allow for personalized interventions to be applied at times when they are most needed.

Computer-Assisted Cognitive-Behavior Therapy and Mobile Apps for Depression and Anxiety

PURPOSE OF REVIEW

We reviewed research on computer-assisted cognitive-behavior therapy (CCBT) and mobile applications with the goals of assessing the effectiveness of these newer methods of delivering or augmenting treatment and making recommendations on the clinical use of computer tools in psychotherapy of depression and anxiety.

RECENT FINDINGS

Research on CCBT has found solid evidence for efficacy when the use of a therapeutic computer program is supported by a clinician or other helping professionals. Lower levels of efficacy or ineffectiveness typically have been found when computer programs are used as stand-alone treatments. A large number of mobile apps have been created that claim to be useful for depression and/or anxiety. However, considerable caution is warranted in evaluating mobile apps and recommending them to patients. Research on mobile apps is still in an early stage of development. A number of well-established CCBT programs have been studied in multiple randomized, controlled trials and have been found to be effective. Such programs appear to have adequate quality, security, and efficacy to be used in clinical practice. Mobile apps offer easy portability and immediate access to coping strategies and may be useful for augmenting treatment. But clinicians need to select apps with integrity and reliable content for clinical use.

Toward Game-Based Digital Mental Health Interventions: Player Habits and Preferences

Background

Designers of digital interventions for mental health often leverage interactions from games because the intrinsic motivation that results from game-based interventions may increase participation and translate into improved treatment efficacy. However, there are outstanding questions about the suitability (eg, are desktop or mobile interventions more appropriate?) and intervention potential (eg, do people with depression activate enough to play?) of games for mental health.

Objective

In this paper, we aimed to describe the presently unknown relationship between gaming activity and indicators of well-being so that designers make informed choices when designing game-based interventions for mental health.

Methods

We gathered validated scales of well-being (Beck’s Depression Inventory [BDI-II], Patient Health Questionnaire [PHQ-9], trait anxiety [TA], and basic psychological needs satisfaction [BPNS]), play importance (control over game behavior: control; gamer identity: identity), and play behavior (play frequency, platform preferences, and genre preferences) in a Web-based survey (N=491).

Results

The majority of our participants played games a few times a week (45.3%, 222/490) or daily (34.3%, 168/490). In terms of depression, play frequency was associated with PHQ-9 (P=.003); PHQ-9 scores were higher for those who played daily than for those who played a few times a week or less. Similarly, for BDI-II (P=.01), scores were higher for those who played daily than for those who played once a week or less. Genre preferences were not associated with PHQ-9 (P=.32) or BDI-II (P=.68); however, platform preference (ie, mobile, desktop, or console) was associated with PHQ-9 (P=.04); desktop-only players had higher PHQ-9 scores than those who used all platforms. Platform preference was not associated with BDI-II (P=.18). In terms of anxiety, TA was not associated with frequency (P=.23), platform preference (P=.07), or genre preference (P=.99). In terms of needs satisfaction, BPNS was not associated with frequency (P=.25) or genre preference (P=.53), but it was associated with platform preference (P=.01); desktop-only players had lower needs satisfaction than those who used all platforms. As expected, play frequency was associated with identity (P<.001) and control (P<.001); those who played more had identified more as a gamer and had less control over their gameplay. Genre preference was associated with identity (P<.001) and control (P<.001); those who played most common genres had higher control over their play and identified most as gamers. Platform preference was not associated with control (P=.80), but was with identity (P=.001); those who played on all devices identified more as a gamer than those who played on mobiles or consoles only.

Conclusions

Our results suggest that games are a suitable approach for mental health interventions as they are played broadly by people across a range of indicators of mental health. We further unpack the platform preferences and genre preferences of players with varying levels of well-being.