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Objectives Numerous studies have focused on the ways to cultivate self-compassion (SC). Most of the SC interventions were typically lengthy and did not capture momentary fluctuations in SC after each exercise in the intervention. Therefore, we explored the impact of repeated self-compassionate writing as an ecological momentary intervention (EMI). Method Seventy-five participants completed a 3-week study with signals sent twice daily, resulting in 1,980 observations collected. During the 1-week control period, participants were asked to report their experiences of negative events, momentary SC, and momentary stress. In the subsequent 1-week intervention period, they engaged in SC writing whenever they experienced negative events. Trait SC and weekly stress were also evaluated before and after the intervention, including a 1-week follow-up period. Results Multilevel modeling showed a slight significant increase in momentary SC and a reduction in momentary stress. However, the slope did not differ significantly between the intervention and control periods. Moreover, there were no significant changes in trait SC nor in weekly stress, although the weekly stress levels showed a decreasing trend with a small effect size from pre to post intervention. Conclusions This study provided preliminary evidence of the feasibility and utility of EMI in cultivating SC using repeated self-compassionate writing. Although the effect sizes were small, the study highlighted possible approaches to increase the effectiveness of the intervention. Preregistration This study is not preregistered.

Background/Hypothesis Digital interventions targeting transdiagnostic mechanisms in daily life may be a promising translational strategy for prevention and early intervention of psychotic and other severe mental disorders. We aimed to investigate the feasibility and initial signals of efficacy of a transdiagnostic, compassion-focused, hybrid ecological momentary intervention for improving resilience (ie, EMIcompass) in youth with early mental health problems. Study Design In an exploratory, assessor-blind randomized controlled trial, youth aged 14–25 with current distress, broad at-risk mental state, or first episode of severe mental disorder were randomly allocated to experimental (EMIcompass+treatment as usual [TAU]) or control condition (TAU). Data on primary (stress reactivity) and secondary candidate mechanisms as well as candidate primary (psychological distress) and secondary outcomes were collected. Study Results Criteria for the feasibility of trial methodology and intervention delivery were met (n = 92 randomized participants). No serious adverse events were observed. Initial outcome signals were evident for reduced momentary stress reactivity (stress×time×condition, B = −0.10 95%CI −0.16–−0.03, d = −0.10), aberrant salience (condition, B = −0.38, 95%CI −0.57–−0.18, d = −0.56) as well as enhanced momentary resilience (condition, B = 0.55, 95%CI 0.18–0.92, d = 0.33) and quality of life (condition, B = 0.82, 95%CI 0.10–1.55, d = 0.60) across post-intervention and 4-week follow-up. No outcome signals were observed for self-reported psychological distress (condition, B = 0.57, 95%CI −1.59–2.72, d = 0.09), but there was suggestive evidence of reduced observer-rated symptoms at the 4-week follow-up (B = −1.41, 95%CI −2.85–0.02, d = −0.41). Conclusions Our findings provide evidence of feasibility and initial signals that EMIcompass may reduce stress reactivity and improve quality of life. A definitive trial is now warranted.

Ecological momentary assessment (EMA) and ecological momentary intervention (EMI) are alternative approaches to retrospective self-reports and face-to-face treatments, and they make it possible to repeatedly assess patients in naturalistic settings and extend psychological support into real life. The increase in smartphone applications and the availability of low-cost wearable biosensors have further improved the potential of EMA and EMI, which, however, have not yet been applied in clinical practice. Here, we conducted a systematic review, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, to explore the state of the art of technology-based EMA and EMI for major depressive disorder (MDD). A total of 33 articles were included (EMA = 26; EMI = 7). First, we provide a detailed analysis of the included studies from technical (sampling methods, duration, prompts), clinical (fields of application, adherence rates, dropouts, intervention effectiveness), and technological (adopted devices) perspectives. Then, we identify the advantages of using information and communications technologies (ICTs) to extend the potential of these approaches to the understanding, assessment, and intervention in depression. Furthermore, we point out the relevant issues that still need to be addressed within this field, and we discuss how EMA and EMI could benefit from the use of sensors and biosensors, along with recent advances in machine learning for affective modelling.

Low uptake rates of traditional gambling treatments highlight the need for innovative treatment modalities. Smartphone apps can provide unprecedented access to real-time ecological momentary interventions (EMIs) delivered in people's everyday lives. This study aims to examine the acceptability, feasibility, and preliminary effectiveness of GamblingLess: Curb Your Urge, the first smartphone app-delivered EMI that aims to prevent gambling episodes by reducing craving intensity in people seeking help for gambling problems. This study was a single-arm, 5-week acceptability and feasibility trial (1-week baseline and 4-week intervention periods) involving ecological momentary assessments (EMAs) delivered 3 times daily. The EMAs measured gambling episodes, cravings, and self-efficacy. Web-based evaluations at baseline, postintervention, and 1-month follow-up measured gambling outcomes (severity, cravings, frequency, expenditure, and self-efficacy) and the intervention's perceived helpfulness, relevance, burden, satisfaction, and impact in relation to gambling cravings. A total of 36 participants, of whom 22/36 (61%) were male and 34/36 (94%) were problem gamblers, completed the baseline measures, with 61% (22/36) completing the postintervention evaluation and 58% (21/36) completing the follow-up evaluation. The intervention was considered acceptable, as participants perceived all intervention content to be above average in helpfulness and the EMA to be highly relevant but somewhat burdensome. Participants reported that they were satisfied with the intervention and that the intervention improved their knowledge, attitudes, awareness, behavior change, intention to change, and help-seeking behavior for gambling cravings. Regarding the intervention's feasibility, compliance rates for the EMA (51%) and EMI (15%) were low; however, the intervention was used 166 times, including 59 uses within 60 minutes of EMA completion and 107 on-demand uses. Regarding the intervention's preliminary effectiveness, descriptive EMA data showed that, compared with the baseline period, 71% and 72% reductions in the average number of gambling episodes and craving occurrences were reported in the intervention period, respectively. In addition, clustered paired-sample two-tailed t tests revealed a significant 5.4% reduction in real-time craving intensity (P=.01) immediately after intervention use, which increased to 10.5% (P=.01), where use was recommended based on craving occurrence. At the group level, significant medium-to-large reductions were observed in mean gambling symptom severity (P=.01 and .003), cravings (P=.03 and .02), frequency (P=.01 and .004), and expenditure (P=.04 and .003) at postintervention and follow-up; moreover, increased mean gambling self-efficacy and craving self-efficacy (P=.01 and .01) were observed at postintervention and increased gambling self-efficacy (P=.04) was observed at follow-up. At the individual level, over a quarter of participants (6/22, 27% to 10/21, 48%) could be categorized as recovered or improved regarding their gambling symptom severity and cravings. The results support the acceptability, feasibility, and preliminary effectiveness of this app-delivered EMI for preventing gambling episodes through craving management in people with gambling problems, which has implications for extending the reach of evidence-based treatment to moments of vulnerability in people's everyday lives.

Mental health problems are highly prevalent, and there is need for the self-management of (mental) health. Ecological momentary interventions (EMIs) can be used to deliver interventions in the daily life of individuals using mobile devices. The aim of this study was to systematically assess and meta-analyze the effect of EMI on 3 highly prevalent mental health outcomes (anxiety, depression, and perceived stress) and positive psychological outcomes (eg, acceptance). PsycINFO and Web of Science were searched for relevant publications, and the last search was done in September 2015. Three concepts were used to find publications: (1) mental health, (2) mobile phones, and (3) interventions. A total of 33 studies (using either a within- or between-subject design) including 43 samples that received an EMI were identified (n=1301), and relevant study characteristics were coded using a standardized form. Quality assessment was done with the Cochrane Collaboration tool. Most of the EMIs focused on a clinical sample, used an active intervention (that offered exercises), and in over half of the studies, additional support by a mental health professional (MHP) was given. The EMI lasted on average 7.48 weeks (SD=6.46), with 2.80 training episodes per day (SD=2.12) and 108.25 total training episodes (SD=123.00). Overall, 27 studies were included in the meta-analysis, and after removing 6 outliers, a medium effect was found on mental health in the within-subject analyses (n=1008), with g=0.57 and 95% CI (0.45-0.70). This effect did not differ as function of outcome type (ie, anxiety, depression, perceived stress, acceptance, relaxation, and quality of life). The only moderator for which the effect varied significantly was additional support by an MHP (MHP-supported EMI, g=0.73, 95% CI: 0.57-0.88; stand-alone EMI, g=0.45, 95% CI: 0.22-0.69; stand-alone EMI with access to care as usual, g=0.38, 95% CI: 0.11-0.64). In the between-subject studies, 13 studies were included, and a small to medium effect was found (g=0.40, 95% CI: 0.22-0.57). Yet, these between-subject analyses were at risk for publication bias and were not suited for moderator analyses. Furthermore, the overall quality of the studies was relatively low. Results showed that there was a small to medium effect of EMIs on mental health and positive psychological well-being and that the effect was not different between outcome types. Moreover, the effect was larger with additional support by an MHP. Future randomized controlled trials are needed to further strengthen the results and to determine potential moderator variables. Overall, EMIs offer great potential for providing easy and cost-effective interventions to improve mental health and increase positive psychological well-being.

Objectives Ecological momentary interventions (EMI) are digital mobile health interventions administered in an individual's daily life to improve mental health by tailoring intervention components to person and context. Experience sampling via ecological momentary assessments (EMA) furthermore provides dynamic contextual information on an individual's mental health state. We propose a personalized data‐driven generic framework to select and evaluate EMI based on EMA. Methods We analyze EMA/EMI time‐series from 10 individuals, published in a previous study. The EMA consist of multivariate psychological Likert scales. The EMI are mental health trainings presented on a smartphone. We model EMA as linear dynamical systems (DS) and EMI as perturbations. Using concepts from network control theory, we propose and evaluate three personalized data‐driven intervention delivery strategies. Moreover, we study putative change mechanisms in response to interventions. Results We identify promising intervention delivery strategies that outperform empirical strategies in simulation. We pinpoint interventions with a high positive impact on the network, at low energetic costs. Although mechanisms differ between individuals ‐ demanding personalized solutions ‐ the proposed strategies are generic and applicable to various real‐world settings. Conclusions Combined with knowledge from mental health experts, DS and control algorithms may provide powerful data‐driven and personalized intervention delivery and evaluation strategies.

Healthy behaviors are crucial for maintaining a person's health and well-being. The effects of health behavior interventions are mediated by individual and contextual factors that vary over time. Recently emerging smartphone-based ecological momentary interventions (EMIs) can use real-time user reports (ecological momentary assessments [EMAs]) to trigger appropriate support when needed in daily life. This systematic review aims to assess the characteristics of smartphone-delivered EMIs using self-reported EMAs in relation to their effects on health behaviors, user engagement, and user perspectives. We searched MEDLINE, Embase, PsycINFO, and CINAHL in June 2019 and updated the search in March 2020. We included experimental studies that incorporated EMIs based on EMAs delivered through smartphone apps to promote health behaviors in any health domain. Studies were independently screened. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. We performed a narrative synthesis of intervention effects, user perspectives and engagement, and intervention design and characteristics. Quality appraisal was conducted for all included studies. We included 19 papers describing 17 unique studies and comprising 652 participants. Most studies were quasi-experimental (13/17, 76%), had small sample sizes, and great heterogeneity in intervention designs and measurements. EMIs were most popular in the mental health domain (8/17, 47%), followed by substance abuse (3/17, 18%), diet, weight loss, physical activity (4/17, 24%), and smoking (2/17, 12%). Of the 17 studies, the 4 (24%) included randomized controlled trials reported nonstatistically significant effects on health behaviors, and 4 (24%) quasi-experimental studies reported statistically significant pre-post improvements in self-reported primary outcomes, namely depressive (P<.001) and psychotic symptoms (P=.03), drinking frequency (P<.001), and eating patterns (P=.01). EMA was commonly used to capture subjective experiences as well as behaviors, whereas sensors were rarely used. Generally, users perceived EMIs to be helpful. Common suggestions for improvement included enhancing personalization, multimedia and interactive capabilities (eg, voice recording), and lowering the EMA reporting burden. EMI and EMA components were rarely reported and were not described in a standardized manner across studies, hampering progress in this field. A reporting checklist was developed to facilitate the interpretation and comparison of findings and enhance the transparency and replicability of future studies using EMAs and EMIs. The use of smartphone-delivered EMIs using self-reported EMAs to promote behavior change is an emerging area of research, with few studies evaluating efficacy. Such interventions could present an opportunity to enhance health but need further assessment in larger participant cohorts and well-designed evaluations following reporting checklists. Future research should explore combining self-reported EMAs of subjective experiences with objective data passively collected via sensors to promote personalization while minimizing user burden, as well as explore different EMA data collection methods (eg, chatbots). PROSPERO CRD42019138739; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=138739.

Appearance anxiety for social media users (AASMU) is emotional distress linked to social media use (SMU), negatively affecting mental and physical health. However, little is known about the dynamic relationship between AASMU and SMU, and effective interventions. Study 1 used Ecological Momentary Assessment (EMA) with 206 participants completing daily surveys for 20 days. Dynamic structural equation modeling (DSEM) revealed that AASMU tended to persist from 1 day to the next (  = 1.45) and that higher levels of AASMU and SMU often occurred together on the same day (  = 2.57). A higher level of self-compassion (SC) or a healthier lifestyle moderated this relationship, providing resilience against SMU's negative effects (  = -0.40 or -0.41). Study 2 utilized an ecological momentary intervention (EMI) with 200 participants, where the intervention group read SC statements daily. Results showed a significant reduction in both the mean level (  = -0.05) and intra-individual variability of AASMU in the intervention group (  = -0.11), suggesting SC-based EMI is an effective approach to reducing AASMU.

A novel transdiagnostic blended Ecological Momentary Intervention (EMI) for improving self-esteem in youth who experienced childhood adversity has shown beneficial effects. However, evidence on the cost-effectiveness of SELFIE and EMIs overall is lacking. In this RCT-based economic evaluation, participants aged 12-26 years with low self-esteem (<26 on the Rosenberg Self-Esteem Scale [RSES]) and experienced childhood adversity were recruited from specialized mental health services and the general population and randomly allocated to CAU (control condition) or CAU + SELFIE (experimental condition). The Trimbos/iMTA Questionnaire for Costs Associated with Psychiatric Illness (TiC-P), the RSES, and EQ-5D-5L were assessed at baseline, post-intervention, and 6-, 18-, and 24-month follow-up. Incremental cost-effectiveness (ICER) and cost-utility (ICUR) ratios, and acceptability curves, were generated. Sensitivity and subgroup analyses assessed robustness. From a societal perspective, the ICER presented €1,219 per improved point of self-esteem, and the ICUR presented €53,986 per QALY gained. The probability of cost-effectiveness was 26% at a willingness-to-pay (WTP) threshold of €20,000/QALY and 49% at €50,000/QALY. At €50,000/QALY, the probability of cost-effectiveness was 77% from a healthcare perspective (ICUR €15,671/QALY gained) and 87% for participants recruited from specialized mental health services (ICUR €-14,567/QALY gained). At the societal level, the SELFIE intervention exceeded the WTP threshold. Tests for robustness showed higher probabilities of cost-effectiveness from a healthcare perspective, likely reflecting the absence of educational productivity loss costs in the societal perspective, and in youth recruited from specialized mental health services. The innovative field of blended EMIs yields encouraging first results, urging more cost-effectiveness research.

Objectives In recent years, a smartphone-based ecological momentary assessment (EMA) approach for assessing awake bruxism (AB) has attracted growing interest, both in clinical and research settings. The present study was designed to investigate subjects’ experience using an EMA-based smartphone application to detect factors that could hamper or facilitate its use for clinical and research purposes. Materials and methods Thirty-two patients with temporomandibular disorders (TMDs) pain (14 males, 18 females; mean age 28.3 ± 12.1 years) were recruited at the Orofacial Pain Unit of the University of Siena, Siena, Italy. They were monitored for one week to collect data on their AB behaviors. Time investment, feelings, encountered difficulties, and reasons for not using the app were assessed in a diary with 5-point Likert scales. Descriptive analysis of quantitative data was assessed, and content analysis of textual data was performed. Results Quantitative data showed a good experience with the app (median of 4). The main motivation to use the EMA-based smartphone application was to gain insight into their own AB behaviours. The most negative experience was the short time window available to answer to the alert. Conclusion The EMA-based smartphone application was well accepted for multiple day evaluation. Clinical relevance These results open up important clinical scenarios for AB evaluation as well as the possibility to carry out large-scale studies on general population samples and/or on selected subpopulations.