Self-help Smartphone Applications for Alcohol Use, PTSD, Anxiety, and Depression: Addressing the New Research-Practice Gap

Predictors of adherence to a publicly available self-guided digital mental health intervention

Low adherence to self-guided digital mental health interventions (DMHIs) have raised concerns about their real-world effectiveness. Naturalistic data from self-guided DMHIs are often not available, hindering our ability to assess adherence among real-world users. This study aimed to analyze 3 years of user data from the public launch of an empirically supported 12-session self-guided DMHI, to assess overall program adherence rates and explore predictors of adherence. Data from 984 registered users were analyzed. Results showed that only 14.8% of users completed all 12 modules and 68.6% completed less than half of the modules. Users who were younger, had milder depression, had never seen a mental health provider, and who rejected signing-up for weekly program emails completed significantly more modules. Results add to concerns about the generalizability of controlled research on DMHIs due to lower adherence outside of research trials. This study highlights the potential of user data in identifying key factors that may be related to adherence. By examining adherence patterns among different sub-sets of users, we can pinpoint and focus on individuals who may adhere and benefit more from self-guided programs. Findings could also have implications for guiding intervention personalization for individuals who struggle to complete DMHIs.

Self-reported alcohol consumption during participation in a text messaging-based online drinking moderation platform

BACKGROUND

Many individuals with excessive alcohol consumption desire moderation but do not seek formalized treatment. Commercially available, technology-assisted options are flexible and highly accessible, yet often not empirically validated.

METHODS

Individuals desiring alcohol moderation (age 21+) self-selected to use Sunnyside®, a web application with tailored and adaptive text messaging. The evaluable dataset included 46,411 members who completed a baseline assessment, enrolled in the program, and tracked their drinking at least once. An adaptive and customizable weekly plan was generated from typical drinking patterns, goals, and weekly reported progress. Personalized daily messages included reminders for real-time drink tracking, plans, and available interactive messaging with peer coaches. Generalized mixed-effect growth models characterized change in drinks per week and daily drinking for 12 weeks after enrollment. Models allowed for nonlinear change and individual variability across members and weeks.

RESULTS

A majority (64.3%) of members reported typically drinking 7 of 7 days per week at baseline. During tracking, drinks per week decreased most in the initial weeks and slowed thereafter, with an overall 33% reduction in weekly drink counts. More severe alcohol-use patterns and concern over drinking at baseline were associated with greater relative benefit.

CONCLUSIONS

Drinking patterns appeared amenable to change during 12 weeks of daily drink tracking with Sunnyside®, a tailored web program to reduce drinking and improve overall wellness. Overall, the findings of this naturalistic study, one of the first of its kind, supplement data from randomized clinical trials and support the use of adaptive, technology-assisted tools for alcohol moderation.

The Impact of User Engagement With Exposure Components on Posttraumatic Stress Symptoms in an mHealth Mobile App: Secondary Analysis of a Randomized Controlled Trial

Background

Mobile mental health apps are a cost-effective option for managing mental health problems, such as posttraumatic stress disorder (PTSD). The efficacy of mobile health (mHealth) apps depends on engagement with the app, but few studies have examined how users engage with different features of mHealth apps for PTSD.

Objective

This study aims to examine the relationship between app engagement indices and PTSD symptom reduction using data from an unblinded pilot randomized controlled trial of "Renew" (Vertical Design), an exposure-based app for PTSD with and without coaching support. Because exposure is an effective approach for treating PTSD, we expected that engagement with exposure activities would be positively related to symptom reduction, over and above overall app usage.

Methods

Participants were veterans (N=69) with clinically significant PTSD symptoms who were recruited online using Facebook advertisements and invited to use the Renew app as often as they wanted over a 6-week period. Participants completed screening and assessments online but provided informed consent, toured the app, and completed feedback interviews via telephone. We assessed users' self-reported PTSD symptoms before and after a 6-week intervention period and collected app usage data using a research-instrumented dashboard. To examine overall app engagement, we used data on the total time spent in the app, the number of log-in days, and the number of points that the user gained in the app. To examine engagement with exposure components, we used data on total time spent completing exposure activities (both in vivo and imaginal), the number of in vivo exposure activities completed, and the number of characters written in response to imaginal exposure prompts. We used hierarchical regression analyses to test the effect of engagement indices on change in PTSD symptoms.

Results

Usage varied widely. Participants spent an average of 166.09 (SD 156.52) minutes using Renew, over an average of 14.7 (SD 10.71) mean log-in days. Engagement with the exposure components of the app was positively associated with PTSD symptom reduction (F6,62=2.31; P=.04). Moreover, this relationship remained significant when controlling for overall engagement with the app (ΔF3,62=4.42; P=.007). The number of characters written during imaginal exposure (β=.37; P=.009) and the amount of time spent completing exposure activities (β=.36; P=.03) were significant contributors to the model.

Conclusions

To our knowledge, this is the first study to show a relationship between symptom improvement and engagement with the active therapeutic components of an mHealth app (ie, exposure) for PTSD. This relationship held when controlling for overall app use, which suggests that it was engagement with exposure, specifically, that was associated with symptom change. Future work to identify ways of promoting greater engagement with self-guided exposure may help improve the effectiveness of mHealth apps for PTSD.

Guidelines to Establish an Equitable Mobile Health Ecosystem

Mobile health (mHealth)-that is, use of mobile devices, such as mobile phones, monitoring devices, personal digital assistants, and other wireless devices, in medical care-is a promising approach to the provision of support services. mHealth may aid in facilitating monitoring of mental health conditions, offering peer support, providing psychoeducation (i.e., information about mental health conditions), and delivering evidence-based practices. However, some groups may fail to benefit from mHealth despite a high need for mental health services, including people from racially and ethnically disadvantaged groups, rural residents, individuals who are socioeconomically disadvantaged, and people with disabilities. A well-designed mHealth ecosystem that considers multiple elements of design, development, and implementation can afford disadvantaged populations the opportunity to address inequities and facilitate access to and uptake of mHealth. This article proposes inclusion of the following principles and standards in the development of an mHealth ecosystem of equity: use a human-centered design, reduce bias in machine-learning analytical techniques, promote inclusivity via mHealth design features, facilitate informed decision making in technology selection, embrace adaptive technology, promote digital literacy through mHealth by teaching patients how to use the technology, and facilitate access to mHealth to improve health outcomes.

Effectiveness of a Virtual-Reality-Based Self-Help Intervention for Lowering the Psychological Burden during the COVID-19 Pandemic: Results from a Randomized Controlled Trial in Iran

BACKGROUND

The COVID-19 pandemic. In this framework, digital self-help interventions have the potential to provide flexible and scalable solutions for delivering evidence-based treatments that do not necessitate face-to-face meetings.

OBJECTIVE

as part of a multicentric project, the purpose of the current randomized controlled trial was to evaluate the efficacy of a Virtual-Reality-based self-help intervention (namely, COVID Feel Good) in lowering the psychological distress experienced during the COVID-19 pandemic in Iran.

METHODS

60 participants were randomly assigned to the experimental (COVID Feel Good intervention group) or the control (no-treatment control group) condition. At the beginning of the intervention (Day 0), at the end of the intervention (Day 7), and after a 2-week follow-up (Day 21), measurements of depressive and anxiety levels, general distress, perceived levels of stress, hopelessness (primary outcome measures), perceived interpersonal closeness with the social world, and fear of COVID-19 (secondary outcome measure) were collected. The protocol consists of two integrated parts: the first part includes a relaxing 10-min three-hundred-sixty-degree (360°) video, while the second one includes social tasks with specified objectives.

RESULTS

In terms of the primary outcomes, participants in the COVID Feel Good intervention group improved in depression, stress, anxiety, and perceived stress but not hopelessness. Secondary outcome results showed an improvement in perceived social connectedness and a substantial decrease in fear of COVID-19.

CONCLUSIONS

these findings on the efficacy of COVID Feel Good training add to the growing body of evidence demonstrating the feasibility of digital self-help interventions in promoting well-being during this unique period.

Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages

Digital tools can support individuals managing mental health concerns, but delivering sufficiently engaging content is challenging. This paper seeks to clarify how individuals with mental health concerns can contribute content to improve push-based mental health messaging tools. We recruited crowdworkers with mental health symptoms to evaluate and revise expert-composed content for an automated messaging tool, and to generate new topics and messages. A second wave of crowdworkers evaluated expert and crowdsourced content. Crowdworkers generated topics for messages that had not been prioritized by experts, including self-care, positive thinking, inspiration, relaxation, and reassurance. Peer evaluators rated messages written by experts and peers similarly. Our findings also suggest the importance of personalization, particularly when content adaptation occurs over time as users interact with example messages. These findings demonstrate the potential of crowdsourcing for generating diverse and engaging content for push-based tools, and suggest the need to support users in meaningful content customization.

Computerized Relational Agent to Deliver Alcohol Brief Intervention and Referral to Treatment in Primary Care: a Randomized Clinical Trial

BACKGROUND

Alcohol screening and brief intervention have demonstrated efficacy but limited effectiveness and implementation in real-world primary care settings.

OBJECTIVE

To evaluate the effectiveness of a computerized Relational Agent programmed to provide alcohol screening, brief intervention, and referral to treatment. We hypothesized that participants in the experimental condition would report greater reductions in their drinking and higher rates of brief intervention and referrals to specialty care compared to those in treatment as usual (TAU).

DESIGN

This was a Hybrid I implementation design and stratified RCT. Participants were randomized to TAU or Relational Agent + TAU and assessed at baseline and 3-month follow-up.

PARTICIPANTS

A total of 178 veteran participants were recruited by referral from primary care staff after a positive alcohol screen, or via letter sent do patients screening positive during recent visit.

INTERVENTION(S)

TAU involved yearly reminders to screen alcohol use and provide brief intervention and treatment referrals, as needed. The Relational Agent added an automated brief intervention, a 1-month follow-up Relational Agent visit, and referral to treatment if needed.

MAIN MEASURES

We measured average drinks per day, drinking days per week, number of brief interventions, and number of referrals over 3 months.

KEY RESULTS

Participants decreased their drinking in both study conditions, with no significant between-group differences on primary alcohol measures. However, Relational Agent + TAU participants evidenced greater improvements regarding negative alcohol-related consequences over 3 months, and were significantly more likely to receive a brief intervention and referral to specialty care.

CONCLUSIONS

The Relational Agent successfully provided brief intervention and referred many more patients to specialty care and was able to intervene with patients with less severe drinking without increasing primary care burden.

TRIAL REGISTRATION

clinicaltrials.gov , NCT02030288, https://clinicaltrials.gov/ct2/home.

A Virtual Reality-Based Self-Help Intervention for Dealing with the Psychological Distress Associated with the COVID-19 Lockdown: An Effectiveness Study with a Two-Week Follow-Up

The aim of this study is to investigate the effectiveness of a novel self-administered at-home daily virtual reality (VR)-based intervention (COVID Feel Good) for reducing the psychological burden experienced during the COVID-19 lockdown in Italy. A total of 40 individuals who had experienced at least two months of strict social distancing measures followed COVID Feel Good between June and July 2020 for one week. Primary outcome measures were depression, anxiety, and stress symptoms, perceived stress levels, and hopelessness. Secondary outcomes were the experienced social connectedness and the level of fear experienced during the COVID-19 pandemic. Linear mixed-effects models were fitted to evaluate the effectiveness of the intervention. Additionally, we also performed a clinical change analysis on primary outcome measures. As concerning primary outcome measures, participants exhibited improvements from baseline to post-intervention for depression levels, stress levels, general distress, and perceived stress (all p < 0.05) but not for the perceived hopelessness (p = 0.110). Results for the secondary outcomes indicated an increase in social connectedness from T0 to T1 (p = 0.033) but not a significant reduction in the perceived fear of coronavirus (p = 0.412). Among these study variables, these significant improvements were maintained from post-intervention to the 2-week follow-up (p > 0.05). Results indicated that the intervention was associated with good clinical outcomes, low-to-no risks for the treatment, and no adverse effects or risks. Globally, evidence suggests a beneficial effect of the proposed protocol and its current availability in 12 different languages makes COVID Feel Good a free choice for helping individuals worldwide to cope with the psychological distress associated with the COVID-19 crisis, although large scale trials are needed to evaluate its efficacy.

Interventions to Improve Post-Detoxification Treatment Engagement and Alcohol Recovery: Systematic Review of Intervention Types and Effectiveness

AIMS

Most inpatient alcohol detoxification patients do not seek treatment post-discharge, which increases the risk of relapse and re-hospitalization. To date, there have been no efforts to synthesize the evidence supporting the broad range of available interventions for this critical transition. The current study is a systematic review and evaluation of interventions designed to promote treatment engagement and recovery following alcohol detoxification.

METHODS

The initial literature search yielded 6419 articles, published since 1999, from PubMed, CINAHL, PsycINFO, Psychology & Behavioral Sciences Collection and PsycARTICLES databases, 49 of which were eligible for full review. Data extraction included in-depth evaluation of intervention types, study and research design features, reported outcomes and study quality/bias indicators. All articles were coded by independent raters and final results were obtained through consensus.

RESULTS

Interventions included medical/medication, psychological/psychosocial, technological, mutual-help and combined approaches. On average, medical/medication interventions were less, and psychological/psychosocial and technological interventions were more likely to demonstrate efficacy with respect to treatment engagement and recovery. There was significant variability in study quality/bias but no significant differences across intervention types. Studies differed considerably across measured outcomes, internal and external validity, in/exclusion criteria and documentation of co-occurring psychiatric disorders.

CONCLUSION

Over half of studies reviewed reported empirical support for the intervention(s) evaluated. Although findings slightly favor non-medical interventions, the variability in study design and quality/bias requires more rigorous follow-up research. Recommendations from this review may guide future implementation and intervention development, which are critically needed to improve post-detoxification care and outcomes for patients with alcohol use disorder.

Differential alcohol treatment response by gender following use of VetChange

OBJECTIVE

Proportionally more women use online alcohol interventions but also report less robust treatment outcomes compared to men. Less is known about outcome disparities among veteran women, who are a growing demographic nationally. The current study examined gender differences among returning veteran men and women who used VetChange, a web-based intervention for hazardous drinking and posttraumatic stress symptoms (PTSS).

METHOD

Using data from a nationwide implementation study of returning combat veterans (n = 222), we performed hierarchical linear modeling to examine gender differences in alcohol and PTSS outcomes over six months following VetChange registration. Additional analyses examined gender differences in proportional changes in hazardous drinking and at each assessment point.

RESULTS

Returning veterans reported significant decreases in alcohol use and PTSS over time, yet men evidenced significantly greater reduction in average weekly drinks and drinks per drinking day compared to women. Follow up analyses indicated that women were significantly less likely than men to achieve low-risk drinking by one month post-registration. Proportional change in alcohol use yielded marginal and non-significant trends that were, nonetheless, consistent with the overall pattern of gender differences.

CONCLUSION

These results contribute to emerging literature suggesting that women use online alcohol use interventions at proportionately higher rates than do men, but do not reduce their drinking as much as men. There are a number of potential content changes that could improve outcomes for returning veteran women using online interventions, and data-driven adaptations based on stakeholder input are recommended.

Gamification as an approach to improve resilience and reduce attrition in mobile mental health interventions: A randomized controlled trial

Forty percent of all general-practitioner appointments are related to mental illness, although less than 35% of individuals have access to therapy and psychological care, indicating a pressing need for accessible and affordable therapy tools. The ubiquity of smartphones offers a delivery platform for such tools. Previous research suggests that gamification-turning intervention content into a game format-could increase engagement with prevention and early-stage mobile interventions. This study aimed to explore the effects of a gamified mobile mental health intervention on improvements in resilience, in comparison with active and inactive control conditions. Differences between conditions on changes in personal growth, anxiety and psychological wellbeing, as well as differences in attrition rates, were also assessed. The eQuoo app was developed and published on all leading mobile platforms. The app educates users about psychological concepts including emotional bids, generalization, and reciprocity through psychoeducation, storytelling, and gamification. In total, 358 participants completed in a 5-week, 3-armed (eQuoo, "treatment as usual" cognitive behavioral therapy journal app, no-intervention waitlist) randomized controlled trial. Relevant scales were administered to all participants on days 1, 17, and 35. Repeated-measures ANOVA revealed statistically significant increases in resilience in the test group compared with both control groups over 5 weeks. The app also significantly increased personal growth, positive relations with others, and anxiety. With 90% adherence, eQuoo retained 21% more participants than the control or waitlist groups. Intervention delivered via eQuoo significantly raised mental well-being and decreased self-reported anxiety while enhancing adherence in comparison with the control conditions. Mobile apps using gamification can be a valuable and effective platform for well-being and mental health interventions and may enhance motivation and reduce attrition. Future research should measure eQuoo's effect on anxiety with a more sensitive tool and examine the impact of eQuoo on a clinical population.

Android and iPhone Mobile Apps for Psychosocial Wellness and Stress Management: Systematic Search in App Stores and Literature Review

BACKGROUND

In an oversaturated market of publicly available mobile apps for psychosocial self-care and stress management, health care providers, patients, and consumers interested in mental health-related apps may wonder which, if any, are efficacious. Readily available metrics for consumers include user popularity and media buzz rather than scientific evidence.

OBJECTIVE

This systematic review aimed to (1) examine the breadth of therapeutic contents and features of psychosocial wellness and stress management apps available to self-help seekers for public download and (2) determine which of these apps have original research support.

METHODS

First, we conducted a systematic review of publicly available apps on the iPhone App Store (Apple Inc) and Android Google Play (Google LLC) platforms using conventional self-help-seeking search terms related to wellness and stress. The results were limited to English-language apps available for free download. In total, 2 reviewers independently evaluated all apps and discussed the findings to reach 100% consensus regarding inclusion. Second, a literature review was conducted on the included apps to identify supporting studies with original data collection.

RESULTS

We screened 3287 apps and found 1009 psychosocial wellness and stress management apps. Content varied widely. The most common evidence-based strategy was mindfulness-meditation, followed by positive psychology and goal setting. Most apps were intended to be used as self-help interventions, with only 1.09% (11/1009) involving an electronic therapist and 1.88% (19/1009) designed as a supplement to in-person psychotherapy. Only 4.66% (47/1009) of apps targeted individuals with psychological disorders, and less than 1% of apps (6/1009, 0.59%) targeted individuals with other chronic illnesses. Approximately 2% (21/1009, 2.08%) were supported by original research publications, with a total of 25 efficacy studies and 10 feasibility studies. The Headspace mindfulness app had the most evidence, including 8 efficacy studies. Most other scientifically backed apps were supported by a single feasibility or efficacy study.

CONCLUSIONS

Only 2.08% (21/1009) of publicly available psychosocial wellness and stress management mobile apps discoverable to self-help seekers have published, peer-reviewed evidence of feasibility and/or efficacy. Clinicians and investigators may use these findings to help patients and families navigate the volume of emerging digital health interventions for stress management and wellness.