'Help for trauma from the app stores?' A systematic review and standardised rating of apps for Post-Traumatic Stress Disorder (PTSD)

Efficacy of digital mental health interventions for PTSD symptoms: A systematic review of meta-analyses

BACKGROUND

The present systematic review aimed to synthesize the results of meta-analyses which examine the effects of digital mental health interventions (DMHIs) on post-traumatic stress disorder (PTSD) symptoms, and investigate whether intervention characteristics (i.e., technique, timeframe, and therapeutic guidance) and methodological characteristics including outcome measures and sample inclusion criteria (age, gender, socioeconomic status, country, comorbidity) moderate the efficacy of digital interventions.

METHODS

A systematic search of various sources (ECSCOhost PsycInfo, PubMed, Web of Science, Scopus, EBSCOhost ERIC, Google Scholar, ProQuest Dissertations & Theses) including five peer-reviewed journals was conducted to identify relevant meta-analyses up to December 2023, and 11 meta-analyses were included in the final review.

RESULTS

Overall, our review elucidates that DMHIs are appropriate for alleviating PTSD symptoms in adults, with more consistent evidence supporting the efficacy of cognitive behavioral therapy (CBT)-based, compared to non-CBT-based, interventions when compared to control conditions. However, we found inconclusive evidence that the efficacy of DMHIs varied according to intervention timeframe, therapeutic guidance, or sample characteristics.

LIMITATIONS

A relatively limited number of different populations was sampled across meta-analyses. Further, while our review focused on PTSD symptoms to indicate the efficacy of digital interventions, other indices of effectiveness were not examined.

CONCLUSION

Our findings indicate the clinical utility of DMHIs for managing PTSD symptoms particularly when CBT-based intervention techniques are employed.

Digital-Based Interventions for Complex Post-Traumatic Stress Disorder: A Systematic Literature Review

Research has shown that complex post-traumatic stress disorder (cPTSD) differs from post-traumatic stress disorder (PTSD) on core symptoms relating to the individual's sense of self, and this has driven the need for treatment approaches to address these specific features of cPTSD. The COVID-19 pandemic has led to the increased use of digital-based interventions (DBIs) to treat mental illnesses, including trauma-related disorders. However, while evidence for the use of DBIs for PTSD has previously been synthesized, the current review is the first synthesis of research on the use of DBIs for cPTSD. A systematic search of Scopus, PsychINFO, and EBSCOhost was conducted, using search terms targeting "cPTSD" and "DBIs," to identify research on the use of DBIs to treat cPTSD symptoms. Ten papers were identified, which provided preliminary evidence for the efficacy of DBIs to reduce cPTSD symptoms. Further, DBIs were reported as acceptable by individuals with a history of complex trauma. The paper also provides insight into the therapeutic approaches adopted, digital modalities utilized, safety measures included, and whether/to what degree support was provided. While DBIs show promise for treating cPTSD, there is substantial room for advancement of the empirical evidence base for these approaches. Both clinical and research-based recommendations are provided separately.

Participants' experiences of a counsellor-supported PTSD Coach intervention in a resource-constrained setting

We explored participants' experiences of a counsellor-supported PTSD Coach mobile application intervention (PTSD Coach-CS) in a randomised controlled trial. PTSD Coach-CS participants, who received the intervention and self-completed a custom-designed questionnaire at intervention completion were included (n = 25; female = 20; ages 19-59; isiXhosa = 22). This questionnaire comprised questions regarding the feasibility, acceptability and potential impact of the PTSD Coach-CS intervention, and general psychological support in our setting. Data were analysed using Braun and Clarke's thematic analysis. Three main themes emerged. (i) Participants' largely positive experiences of treatment procedures included the safe space created by the counsellor support in combination with the PTSD Coach application, allowing them to learn about and understand their lived experiences, and to accept their PTSD diagnoses. (ii) Positive perceptions of the PTSD Coach application, yet raising important concerns (e.g., lack of family involvement) for future consideration. (iii) Intervention-specific and systemic treatment barriers (e.g., stigma) providing important information to inform and increase the usefulness of the PTSD Coach-CS intervention. The findings suggest that the PTSD Coach-CS intervention may help address the need for access to suitable care for South African adults with PTSD. Some contextual barriers must be considered in further intervention implementation.

Don't judge a book or health app by its cover: User ratings and downloads are not linked to quality

OBJECTIVE

To analyse the relationship between health app quality with user ratings and the number of downloads of corresponding health apps.

MATERIALS AND METHODS

Utilising a dataset of 881 Android-based health apps, assessed via the 300-point objective Organisation for the Review of Care and Health Applications (ORCHA) assessment tool, we explored whether subjective user-level indicators of quality (user ratings and downloads) correlate with objective quality scores in the domains of user experience, data privacy and professional/clinical assurance. For this purpose, we applied spearman correlation and multiple linear regression models.

RESULTS

For user experience, professional/clinical assurance and data privacy scores, all models had very low adjusted R squared values (< .02). Suggesting that there is no meaningful link between subjective user ratings or the number of health app downloads and objective quality measures. Spearman correlations suggested that prior downloads only had a very weak positive correlation with user experience scores (Spearman = .084, p = .012) and data privacy scores (Spearman = .088, p = .009). There was a very weak negative correlation between downloads and professional/clinical assurance score (Spearman = -.081, p = .016). Additionally, user ratings demonstrated a very weak correlation with no statistically significant correlations observed between user ratings and the scores (all p > 0.05). For ORCHA scores multiple linear regression had adjusted R-squared = -.002.

CONCLUSION

This study highlights that widely available proxies which users may perceive to signify the quality of health apps, namely user ratings and downloads, are inaccurate predictors for estimating quality. This indicates the need for wider use of quality assurance methodologies which can accurately determine the quality, safety, and compliance of health apps. Findings suggest more should be done to enable users to recognise high-quality health apps, including digital health literacy training and the provision of nationally endorsed "libraries".

[Apps for tinnitus? A systematic review on quality, intervention components, and behavior change techniques]

BACKGROUND

Various smartphone applications (apps) for people with tinnitus are available and promise tinnitus relief. Yet, it is difficult for people suffering from tinnitus and healthcare professionals to estimate their quality, potential, or risks. The current study aims to generate an overview of available tinnitus apps in the German language and to offer orientation for research and healthcare providers.

METHOD

The most prominent stores were searched systematically (November 2020-April 2021; Google Play Store and Apple App Store). Apps specifically developed for tinnitus were evaluated by two independent raters using multiple approaches: a) a quality screening was performed using the German version of the Mobile App Rating Scale (MARS-G), b) intervention components were assessed using a newly developed list of categories, and c) implemented strategies for active tinnitus management were analyzed using behavior change techniques (BCTs).

RESULTS

The search yielded 1073 apps, of which 21 apps were analyzed. The apps' overall quality as assessed by MARS‑G was average (M = 3.37, SD = 039). A lot of apps offered sounds (n = 18) and information (n = 9) or assessed tinnitus characteristics (n = 13). Out of 93 BCTs, 24 were identified at least once. Only one app was evaluated in non-randomized trials.

CONCLUSION

Although a variety of apps are available, most of them focus on a few intervention components (e.g., sounds or information). Therefore, apps do not exploit their potential to impart important evidence-based content for tinnitus management. The app evaluation using multiple approaches points out potential for improvement.

A counsellor-supported 'PTSD Coach' intervention versus enhanced Treatment-as-Usual in a resource-constrained setting: A randomised controlled trial

To widen treatment access for posttraumatic stress disorder (PTSD) in resource-constrained South Africa, we evaluated the feasibility and effectiveness of a counsellor-supported PTSD Coach mobile application (app) (PTSD Coach-CS) intervention on PTSD and associated sequelae in a community sample. Participants (female = 89%; black = 77%; aged 19-61) with PTSD were randomised to PTSD Coach-CS (n = 32) or enhanced Treatment-as-Usual (n = 30), and assessed with the Clinician-Administered PTSD Scale (CAPS-5), PTSD Checklist (PCL-5) and Depression, Anxiety and Stress Scale-21 items, at pre- to post-treatment and follow-up (1 and 3 months). We also collected data on user experiences of the PTSD Coach app with self-administered surveys. We conducted an intent-to-treat analysis and linear mixed models. A significant (group × time) effect for the CAPS-5 (F3.136 = 3.33, p = 0.02) indicated a greater reduction in PTSD symptom severity over time for the intervention group with a significant between-group effect size detected at 3-month follow-up. Significant between-group effect sizes were detected in self-reported stress symptom reduction in the intervention group at post-treatment and 3-month follow-up. Participants perceived the app as helpful and were satisfied with the app. Findings suggest PTSD Coach-CS as a suitable low-cost intervention and potential treatment alternative for adults with PTSD in a resource-constrained country. Replication in larger samples is needed to fully support effectiveness. Pan African Trial Registry: PACTR202108755066871.

Crises in the Anthropocene

2022 was a year of crises, not just one but multiple intersecting crises that caused traumatic stress in billions of people worldwide. COVID-19 is still not over. New wars have started, and the climate change impact is bigger than ever. Will the Anthropocene be an era of continued crises? This past year the European Journal of Psychotraumatology (EJPT) has again tried to contribute to how to prevent or treat the consequences of these major crises as well as other events and we will continue to do so the year to come. For instance, we will have special issues or collections addressing these big issues, such as climate change and traumatic stress, or early intervention after trauma or in times of conflict. In this editorial, we also present the past year's excellent journal metrics regarding reach, impact, and quality and the ESTSS EJPT award finalists for best paper of 2022 and look forward to 2023.

2022 was a year of multiple intersecting crises causing traumatic stress to billions of people around the world.

European Journal of Psychotraumatology (EJPT) aims to contribute to how to understand, prevent or treat the consequences of these major crises.

EJPT's editorial team again achieved excellent journal metrics regarding reach, impact, and quality in 2022.

Quality of Digital Health Interventions Across Different Health Care Domains: Secondary Data Analysis Study

BACKGROUND

There are more than 350,000 digital health interventions (DHIs) in the app stores. To ensure that they are effective and safe to use, they should be assessed for compliance with best practice standards.

OBJECTIVE

The objective of this paper was to examine and compare the compliance of DHIs with best practice standards and adherence to user experience (UX), professional and clinical assurance (PCA), and data privacy (DP).

METHODS

We collected assessment data from 1574 DHIs using the Organisation for the Review of Care and Health Apps Baseline Review (OBR) assessment tool. As part of the assessment, each DHI received a score out of 100 for each of the abovementioned areas (ie, UX, PCA, and DP). These 3 OBR scores are combined to make up the overall ORCHA score (a proxy for quality). Inferential statistics, probability distributions, Kruskal-Wallis, Wilcoxon rank sum test, Cliff delta, and Dunn tests were used to conduct the data analysis.

RESULTS

We found that 57.3% (902/1574) of the DHIs had an Organisation for the Review of Care and Health Apps (ORCHA) score below the threshold of 65. The overall median OBR score (ORCHA score) for all DHIs was 61.5 (IQR 51.0-73.0) out of 100. A total of 46.2% (12/26) of DHI's health care domains had a median equal to or above the ORCHA threshold score of 65. For the 3 assessment areas (UX, DP, and PCA), DHIs scored the highest for the UX assessment 75.2 (IQR 70.0-79.6), followed by DP 65.1 (IQR 55.0-73.4) and PCA 49.6 (IQR 31.9-76.1). UX scores had the least variance (SD 13.9), while PCA scores had the most (SD 24.8). Respiratory and urology DHIs were consistently highly ranked in the National Institute for Health and Care Excellence Evidence Standards Framework tiers B and C based on their ORCHA score.

CONCLUSIONS

There is a high level of variability in the ORCHA scores of DHIs across different health care domains. This suggests that there is an urgent need to improve compliance with best practices in some health care areas. Possible explanations for the observed differences might include varied market maturity and commercial interests within the different health care domains. More investment to support the development of higher-quality DHIs in areas such as ophthalmology, allergy, women's health, sexual health, and dental care may be needed.

Association Between the Characteristics of mHealth Apps and User Input During Development and Testing: Secondary Analysis of App Assessment Data

BACKGROUND

User involvement is increasingly acknowledged as a central part of health care innovation. However, meaningful user involvement during the development and testing of mobile health apps is often not fully realized.

OBJECTIVE

This study aims to examine in which areas user input is most prevalent and whether there is an association between user inclusion and compliance with best practices for mobile health apps.

METHODS

A secondary analysis was conducted on an assessment data set of 1595 health apps. The data set contained information on whether the apps had been developed or tested with user input and whether they followed best practices across several domains. Background information was also available regarding the apps' country of origin, targeted condition areas, subjective user ratings, download numbers, and risk (as per the National Institute for Health and Care Excellence Evidence Standards Framework [ESF]). Descriptive statistics, Mann-Whitney U tests, and Pearson chi-square analyses were applied to the data.

RESULTS

User involvement was reported by 8.71% (139/1595) of apps for only the development phase, by 33.67% (537/1595) of apps for only the testing phase, by 21.88% (349/1595) of apps for both phases, and by 35.74% (570/1595) of apps for neither phase. The highest percentage of health apps with reported user input during development was observed in Denmark (19/24, 79%); in the condition areas of diabetes (38/79, 48%), cardiology (15/32, 47%), pain management (20/43, 47%), and oncology (25/54, 46%); and for high app risk (ESF tier 3a; 105/263, 39.9%). The highest percentage of health apps with reported user input during testing was observed in Belgium (10/11, 91%), Sweden (29/34, 85%), and France (13/16, 81%); in the condition areas of neurodiversity (42/52, 81%), respiratory health (58/76, 76%), cardiology (23/32, 72%), and diabetes (56/79, 71%); and for high app risk (ESF tier 3a; 176/263, 66.9%). Notably, apps that reported seeking user input during testing demonstrated significantly more downloads than those that did not (P=.008), and user inclusion was associated with better compliance with best practices in clinical assurance, data privacy, risk management, and user experience.

CONCLUSIONS

The countries and condition areas in which the highest percentage of health apps with user involvement were observed tended to be those with higher digital maturity in health care and more funding availability, respectively. This suggests that there may be a trade-off between developers' willingness or ability to involve users and the need to meet challenges arising from infrastructure limitations and financial constraints. Moreover, the finding of a positive association between user inclusion and compliance with best practices indicates that, where no other guidance is available, users may benefit from prioritizing health apps developed with user input as the latter may be a proxy for broader app quality.

Stress Management Apps: Systematic Search and Multidimensional Assessment of Quality and Characteristics

BACKGROUND

Chronic stress poses risks for physical and mental well-being. Stress management interventions have been shown to be effective, and stress management apps (SMAs) might help to transfer strategies into everyday life.

OBJECTIVE

This review aims to provide a comprehensive overview of the quality and characteristics of SMAs to give potential users or health professionals a guideline when searching for SMAs in common app stores.

METHODS

SMAs were identified with a systematic search in the European Google Play Store and Apple App Store. SMAs were screened and checked according to the inclusion criteria. General characteristics and quality were assessed by 2 independent raters using the German Mobile Application Rating Scale (MARS-G). The MARS-G assesses quality (range 1 to 5) on the following four dimensions: (1) engagement, (2) functionality, (3) esthetics, and (4) information. In addition, the theory-based stress management strategies, evidence base, long-term availability, and common characteristics of the 5 top-rated SMAs were assessed and derived.

RESULTS

Of 2044 identified apps, 121 SMAs were included. Frequently implemented strategies (also in the 5 top-rated SMAs) were psychoeducation, breathing, and mindfulness, as well as the use of monitoring and reminder functions. Of the 121 SMAs, 111 (91.7%) provided a privacy policy, but only 44 (36.4%) required an active confirmation of informed consent. Data sharing with third parties was disclosed in only 14.0% (17/121) of the SMAs. The average quality of the included apps was above the cutoff score of 3.5 (mean 3.59, SD 0.50). The MARS-G dimensions yielded values above this cutoff score (functionality: mean 4.14, SD 0.47; esthetics: mean 3.76, SD 0.73) and below this score (information: mean 3.42, SD 0.46; engagement: mean 3.05, SD 0.78). Most theory-based stress management strategies were regenerative stress management strategies. The evidence base for 9.1% (11/121) of the SMAs could be identified, indicating significant group differences in several variables (eg, stress or depressive symptoms) in favor of SMAs. Moreover, 38.0% (46/121) of the SMAs were no longer available after a 2-year period.

CONCLUSIONS

The moderate information quality, scarce evidence base, constraints in data privacy and security features, and high volatility of SMAs pose challenges for users, health professionals, and researchers. However, owing to the scalability of SMAs and the few but promising results regarding their effectiveness, they have a high potential to reach and help a broad audience. For a holistic stress management approach, SMAs could benefit from a broader repertoire of strategies, such as more instrumental and mental stress management strategies. The common characteristics of SMAs with top-rated quality can be used as guidance for potential users and health professionals, but owing to the high volatility of SMAs, enhanced evaluation frameworks are needed.

Dr. Smartphone, can you support my trauma? An informatics analysis study of App Store apps for trauma- and stressor-related disorders

Background

Psychological trauma is prevalent in developed countries, with prevalence rates and treatment needs exceeding health system capacity. As telemedicine and out-of-patient care are promoted, there has been an expansion of digital apps to compliment therapeutic stages in psychological trauma. To date there are no reviews that have compared these apps and their clinical utility. This study aims to identify the availability of trauma- and stressor-related mhealth apps, assess their functionality, and review their therapeutic abilities.

Methodology

The authors conducted a systematic search using an iPhone 13 Pro in the Australian IOS App Store to extract trauma- and stressor-related apps that resulted from the search criteria. A cross-adaptation of the Mobile App Rating Scale (MARS) and the Comprehensive App Evaluation Model (CAEM) were used as a framework to produce the mTrauma App Evaluation Conceptual Model and Informatics Framework. App content descriptors were analysed based on their general characteristics, usability, therapeutic focus, clinical utility, data integration. Following an applicability in concordance with psychological trauma-informed delivery.

Results

A total of 234 apps resulting from the search strategy were screened, with 81 apps that met the inclusion criteria. The majority of apps were marketed to 4+ to 17+ years of age, categorised as 'health and fitness', with the highest target markets observed for adolescents, children, parents, clinicians, and clients. A total of 43 apps (53.1%) contained a trauma-informed specified section, and 37 (45.7%) incorporated a section useful to support trauma-related symptoms. A significant number of apps there was an absence of therapeutic utility (in 32 apps (39.5%)). Most apps were supporting post-traumatic stress disorder-informed, cognitive behavioural therapy and eye movement desensitisation and reprocessing. Provision of psychoeducation, courses, guided sessions, trainings, self-reflection/journaling, symptom management and progress tracking were highly present.

Conclusions

Trauma-informed mobile apps are available in the App Store, expanding in its target market reach and usability, with an increase of creative psychotherapies being introduced alongside conventional modalities. However, based on the app descriptors, the scarcity of evidenced-based testimonials and therapeutic applicability remains questionable for clinical validity. Although mhealth tools are marketed as trauma-related, current available apps employ a multifunctional approach to general psychological symptomatology, through to associated comorbid conditions and emphasizes on passive activity. For higher uptake on user engagement, clinical application and validity, trauma-apps require curated specification to fulfil its role as complimentary psychological treatment.

The development of a smartphone app to enhance post-traumatic stress disorder treatment in high-risk workers

Objective

Post-traumatic stress disorder (PTSD) is highly prevalent in certain populations. However, evidence indicates that many individuals do not respond to treatment. Digital supports hold promise for increasing service provision and engagement but there is a lack of evidence on blended care options and still less research guiding the development of such tools. This study details the development and overarching framework used to build a smartphone app to support PTSD treatment.

Methods

The app was developed in line with the Integrate, Design, Assess, and Share (IDEAS) framework for the development of digital health interventions and involved clinicians (n=3), frontline worker clients (n=5) and trauma-exposed frontline workers (n=19). Integrated iterative rounds of testing were conducted via in-depth interviews, surveys, prototype testing and workshops, alongside app and content development.

Results

Clinicians and frontline workers both expressed a clear preference for the app to augment but not replace face-to-face therapy, with the aim of increasing between-session support, and facilitating homework completion. Content was adapted for app delivery from manualised therapy (trauma-focused cognitive behavioural therapy (CBT). Prototype versions of the app were well received, with both clinicians and clients reporting the app was easy to use, understandable, appropriate and highly recommendable. System Usability Scale (SUS) scores were on average in the excellent range (82/100).

Conclusions

This is one of the first studies to document the development of a blended care app designed specifically to augment clinical care for PTSD, and the first within a frontline worker population. Through a systematic framework with active end user consultation, a highly usable app was built to undergo subsequent evaluation.

Design, development and randomised controlled trial protocol of a smartphone-delivered version of 'SOLAR' for emergency service workers to manage stress and trauma

IntroductionEmergency service workers are routinely exposed to stress and trauma, and there is a need to address mental health symptoms early to prevent chronic impairment and/or psychiatric disorder. Digital health innovations mean that face-to-face psychosocial interventions can now be delivered remotely, which is particularly appealing to populations who have strong preferences for digital delivery, such as emergency service workers. This two phase study aims to first adapt the Skills fOr Life Adjustment and Resilience (SOLAR) programme into a smartphone application ('app'), and then evaluate the effectiveness of this new app.

METHODS AND ANALYSES

First, focus groups and codesign activities with mental health professionals and emergency service workers will be conducted to develop and test the prototype smartphone version of SOLAR (ie, SOLAR-m). Second, a multicentre randomised controlled trial will investigate the effectiveness of the new app, compared with an active control app, in reducing symptoms of anxiety and depression (primary outcome), as well as other indicators of mental health and work performance. Firefighters from one of the largest urban fire and rescue services in Australia who are currently experiencing distress will be invited to participate. After screening and baseline assessment, 240 will be randomised to receive either SOLAR-m or the control app for 5 weeks, with measurements pre, post and 3-month follow-up. Analyses will be conducted within an intention-to-treat framework using mixed modelling.

ETHICS AND DISSEMINATION

The current trial has received ethics approval from the University of Melbourne Human Research Ethics Committee (2021-20632-18826-5). Study results will be disseminated through peer-reviewed journals and conferences, with a focus on how to expand the new app to other trauma-affected populations if proven effective.

TRIAL REGISTRATION NUMBER

ANZCTRN12621001141831.

The Effects of an Exposure-Based Mobile App on Symptoms of Posttraumatic Stress Disorder in Veterans: Pilot Randomized Controlled Trial

BACKGROUND

Barriers to accessing in-person care can prevent veterans with posttraumatic stress disorder (PTSD) from receiving trauma-focused treatments such as exposure therapy. Mobile apps may help to address unmet need for services by offering tools for users to self-manage PTSD symptoms. Renew is a mobile mental health app that focuses on exposure therapy and incorporates a social support function designed to promote user engagement.

OBJECTIVE

We examined the preliminary efficacy of Renew with and without support from a research staff member compared with waitlist among 93 veterans with clinically significant PTSD symptoms. We also examined the impact of study staff support on participant engagement with the app.

METHODS

In a pilot randomized controlled trial, we compared Renew with and without support from a research staff member (active use condition) with waitlist (delayed use condition) over 6 weeks. Participants were recruited through online advertisements. The Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) was used to measure PTSD symptoms at pre, post, and 6-week follow-up. Usage data were collected to assess engagement with Renew.

RESULTS

Results indicated a small effect size (d=-0.39) favoring those in the active use conditions relative to the delayed use condition, but the between-group difference was not significant (P=.29). There were no differences on indices of app engagement between the 2 active use conditions. Exploratory analyses found that the number of support persons users added to the app, but not the number of support messages received, was positively correlated with app engagement.

CONCLUSIONS

Findings suggest Renew may hold promise as a self-management tool to reduce PTSD symptoms in veterans. Involving friends and family in mobile mental health apps may help bolster engagement with no additional cost to public health systems.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04155736; https://clinicaltrials.gov/ct2/show/NCT04155736.

Mobile Apps for the Management of Gastrointestinal Diseases: Systematic Search and Evaluation Within App Stores

Background

Gastrointestinal diseases are associated with substantial cost in health care. In times of the COVID-19 pandemic and further digitalization of gastrointestinal tract health care, mobile health apps could complement routine health care. Many gastrointestinal health care apps are already available in the app stores, but the quality, data protection, and reliability often remain unclear.

Objective

This systematic review aimed to evaluate the quality characteristics as well as the privacy and security measures of mobile health apps for the management of gastrointestinal diseases.

Methods

A web crawler systematically searched for mobile health apps with a focus on gastrointestinal diseases. The identified mobile health apps were evaluated using the Mobile Application Rating Scale (MARS). Furthermore, app characteristics, data protection, and security measures were collected. Classic user star rating was correlated with overall mobile health app quality.

Results

The overall quality of the mobile health apps (N=109) was moderate (mean 2.90, SD 0.52; on a scale ranging from 1 to 5). The quality of the subscales ranged from low (mean 1.89, SD 0.66) to good (mean 4.08, SD 0.57). The security of data transfer was ensured only by 11 (10.1%) mobile health apps. None of the mobile health apps had an evidence base. The user star rating did not correlate with the MARS overall score or with the individual subdimensions of the MARS (all P>.05).

Conclusions

Mobile health apps might have a positive impact on diagnosis, therapy, and patient guidance in gastroenterology in the future. We conclude that, to date, data security and proof of efficacy are not yet given in currently available mobile health apps.

Development and validation of the Turkish version of the Mobile App Rating Scale - MARS-TR

BACKGROUND

The number of mobile health apps (MHAs) is growing rapidly. MHAs have great potential to improve health and health care. However, the quality of available MHAs remains unknown due to the lack of quality assessment regulations and standards for MHAs. The Mobile Application Rating Scale (MARS) is the most widely used instrument to assess the quality of MHAs, and available in English, Italian, Spanish, German, French, Arabic and Japanese. However, the scale is currently not available in the Turkish language.

OBJECTIVE

This study aimed to cross-culturally adapt the MARS into Turkish and evaluate the validity and reliability of the scale.

METHODS

The MARS was translated and adapted into Turkish according to the international guidelines. A total of 52 pregnancy tracking apps were evaluated by two independent raters. Internal consistency (Cronbach's alpha), inter-rater reliability (Intraclass Correlation Coefficient [ICC]), convergent validity and concurrent validity were explored. Regarding convergent validity, MARS-TR scores were compared with the ENLIGHT scale.

RESULTS

The MARS-TR was highly aligned with the original MARS. The MARS-TR showed excellent internal consistency (Cronbach's alpha of 0.95 for both raters) and excellent inter-rater reliability (ICC = 0.94; SEM = 0.02), with a smallest detectable change (95 % confidence level) of 0.05 points for the total score. Cronbach's alphas for the subscales ranged from 0.76 to 0.94 for the two raters. Correlations between the MARS-TR and ENLIGHT demonstrated adequate convergent validity (P < 0.05). No ceiling or floor effects were observed.

CONCLUSION

The results provide evidence that the Turkish version of MARS is a valid and reliable tool for researchers and experts to assess the quality of MHAs in Turkey.

A systematic quality rating of available mobile health apps for borderline personality disorder

BACKGROUND

Mobile health apps (MHAs) may offer a mean to overcome treatment barriers in Borderline Personality Disorder (BPD) mental health care. However, MHAs for BPD on the market lack transparency and quality assessment.

METHODS

European app stores were systematically searched, and two independent trained reviewers extracted relevant MHAs. Employed methods and privacy and security details documentation of included MHAs were extracted. MHAs were then assessed and rated using the German version of the standardized Mobile Application Rating Scale (MARS-G). Mean values and standard deviations of all subscales (engagement, functionality, aesthetics, information, and therapeutic gain) and correlations with user ratings were calculated.

RESULTS

Of 2977 identified MHAs, 16 were included, showing average quality across the four main subscales (M = 3.25, SD = 0.68). Shortcomings were observed with regard to engagement (M = 2.87, SD = 0.99), potential therapeutic gain (M = 2.67, SD = 0.83), existing evidence base (25.0% of included MHAs were tested empirically), and documented privacy and security details. No significant correlations were found between user ratings and the overall total score of the MARS-G or MARS-G main subscales.

CONCLUSIONS

Available MHAs for BPD vary in quality and evidence on their efficacy, effectiveness, and possible adverse events is scarce. More substantial efforts to ensure the quality of MHAs available for patients and a focus on transparency, particularly regarding privacy and security documentation, are necessary.

Standardized evaluation of the quality and persuasiveness of mobile health applications for diabetes management

This study evaluates diabetes self-management mobile health applications available from European app stores with respect to quality, concordance with recommended self-management tasks and implementation of persuasive system design principles. The European Play Store and Apple App Store were systematically searched and relevant apps were tested. Two raters independently assessed app quality using the Mobile Application Rating Scale and conducted a content analysis of provided persuasive system design principles and self-management tasks. A total of 2,269 mobile health applications were identified and 120 could be included in the evaluation. The overall quality was rated as moderate M = 3.20 (SD = 0.39, min = 2.31, max = 4.62), with shortcomings in the subcategories of engagement (M = 2.80, SD = 0.67) and information quality (M = 2.26, SD = 0.48). Scientific evidence is available for 8% of the apps. The reviewed apps implemented a median of three persuasive system design principles (range 0-15) and targeted a median of 4.5 (range 1-8) self-management tasks, however, with a lack of information about psychosocial coping strategies. Most available diabetes self-management apps lack a scientific evidence base. Persuasive system design features are underrepresented and may form a promising tool to improve app quality. Furthermore, the interaction of physical and behavioral health should be improved in existing diabetes self-management mobile health applications.

Diagnostic Performance of an App-Based Symptom Checker in Mental Disorders: Comparative Study in Psychotherapy Outpatients

BACKGROUND

Digital technologies have become a common starting point for health-related information-seeking. Web- or app-based symptom checkers aim to provide rapid and accurate condition suggestions and triage advice but have not yet been investigated for mental disorders in routine health care settings.

OBJECTIVE

This study aims to test the diagnostic performance of a widely available symptom checker in the context of formal diagnosis of mental disorders when compared with therapists' diagnoses based on structured clinical interviews.

METHODS

Adult patients from an outpatient psychotherapy clinic used the app-based symptom checker Ada-check your health (ADA; Ada Health GmbH) at intake. Accuracy was assessed as the agreement of the first and 1 of the first 5 condition suggestions of ADA with at least one of the interview-based therapist diagnoses. In addition, sensitivity, specificity, and interrater reliabilities (Gwet first-order agreement coefficient [AC1]) were calculated for the 3 most prevalent disorder categories. Self-reported usability (assessed using the System Usability Scale) and acceptance of ADA (assessed using an adapted feedback questionnaire) were evaluated.

RESULTS

A total of 49 patients (30/49, 61% women; mean age 33.41, SD 12.79 years) were included in this study. Across all patients, the interview-based diagnoses matched ADA's first condition suggestion in 51% (25/49; 95% CI 37.5-64.4) of cases and 1 of the first 5 condition suggestions in 69% (34/49; 95% CI 55.4-80.6) of cases. Within the main disorder categories, the accuracy of ADA's first condition suggestion was 0.82 for somatoform and associated disorders, 0.65 for affective disorders, and 0.53 for anxiety disorders. Interrater reliabilities ranged from low (AC1=0.15 for anxiety disorders) to good (AC1=0.76 for somatoform and associated disorders). The usability of ADA was rated as high in the System Usability Scale (mean 81.51, SD 11.82, score range 0-100). Approximately 71% (35/49) of participants would have preferred a face-to-face over an app-based diagnostic.

CONCLUSIONS

Overall, our findings suggest that a widely available symptom checker used in the formal diagnosis of mental disorders could provide clinicians with a list of condition suggestions with moderate-to-good accuracy. However, diagnostic performance was heterogeneous between disorder categories and included low interrater reliability. Although symptom checkers have some potential to complement the diagnostic process as a screening tool, the diagnostic performance should be tested in larger samples and in comparison with further diagnostic instruments.

COVID-19 pandemic: the impact on Canada’s intensive care units

The COVID-19 pandemic has exposed the precarious demand-capacity balance in Canadian hospitals, including critical care where there is an urgent need for trained health care professionals to dramatically increase ICU capacity.

The impact of the pandemic on ICUs varied significantly across the country with provinces that implemented public health measures later and relaxed them sooner being impacted more severely. Pediatric ICUs routinely admitted adult patients. Non-ICU areas were converted to ICUs and staff were redeployed from other essential service areas. Faced with a lack of critical care capacity, triage plans for ICU admission were developed and nearly implemented in some provinces.

Twenty eight percent of patients in Canadian ICUs who required mechanical ventilation died. Surviving patients have required prolonged ICU admission, hospitalization and extensive ongoing rehabilitation. Family members of patients were not permitted to visit, resulting in additional psychological stresses to patients, families, and healthcare teams. ICU professionals also experienced extreme psychological stresses from caring for such large numbers of critically ill patients, often in sub-standard conditions. This resulted in large numbers of health workers leaving their professions.

This pandemic is not yet over, and it is likely that new pandemics will follow. A review and recommendations for the future are provided.

Sexual assault as a public health problem and other developments in psychotraumatology

A recent scandal in the Netherlands painfully underscored that sexual harassment and abuse are unfortunately still happening around the world, even after decades of advocacy on this issue and five years of #MeToo. To make progress in prevention and treatment we argue that we should address sexual violence from a public health perspective. Fruthermore, looking back on the past year, the COVID-19 pandemic was the dominant and potentially traumatic stressor affecting large populations around the world. Another big topic was that of the impact of climate change, we are only beginning to realize its impact on stress across the globe. The European Journal of Psychotraumatology (EJPT), with its increasing global readership and scientific and social impact, is focusing on the traumatic stress aspects of these and many other events. Relatedly, neurobiological aspects are an important and growing focus of the journal in that they help us better understand the mechanisms behind the development of trauma-related disorders and their treatment. In this editorial, we present recent trends, new Open Science developments, journal metrics, the plans and themes for next year and the ESTSS EJPT award winners for best paper of 2021.

HIGHLIGHTS

Next years' research focus should be on sexual violence from a public health lens, climate change, and neurobiologal aspects of trauma-related disorders. The European Journal of Psychotraumatology (EJPT) calls or papers on these issues.

Evaluation of Android and Apple Store Depression Applications Based on Mobile Application Rating Scale

There are a large number of mobile applications that allow the monitoring of health status. The quality of the applications is only evaluated by users and not by standard criteria. This study aimed to examine depression-related applications in major mobile application stores and to analyze them using the rating scale tool Mobile Application Rating Scale (MARS). A search of digital applications for the control of symptoms and behavioral changes in depression was carried out in the two reference mobile operating systems, Apple (App Store) and Android (Play Store), by means of two reviewers with a blind methodology between September and October 2019 in stores from Spain and the United Kingdom. Eighteen applications from the Android Play Store and twelve from the App Store were included in this study. The quality of the applications was evaluated using the MARS scale from 1 (inadequate) to 5 (excellent). The average score of the applications based on the MARS was 3.67 ± 0.53. The sections with the highest scores were “Functionality” (4.51) and “Esthetics” (3.98) and the lowest “Application Subjective quality” (2.86) and “Information” (3.08). Mobile Health applications for the treatment of depression have great potential to influence the health status of users; however, applications come to the digital market without health control.

"Help in a Heartbeat?": A Systematic Evaluation of Mobile Health Applications (Apps) for Coronary Heart Disease

For patients with coronary heart disease (CHD) lifestyle changes and disease management are key aspects of treatment that could be facilitated by mobile health applications (MHA). However, the quality and functions of MHA for CHD are largely unknown, since reviews are missing. Therefore, this study assessed the general characteristics, quality, and functions of MHA for CHD. Hereby, the Google Play and Apple App stores were systematically searched using a web crawler. The general characteristics and quality of MHA were rated with the Mobile Application Rating Scale (MARS) by two independent raters. From 3078 identified MHA, 38 met the pre-defined criteria and were included in the assessment. Most MHA were affiliated with commercial companies (52.63%) and lacked an evidence-base. An overall average quality of MHA (M = 3.38, SD = 0.36) was found with deficiencies in information quality and engagement. The most common functions were provision of information and CHD risk score calculators. Further functions included reminders (e.g., for medication or exercises), feedback, and health management support. Most MHA (81.58%) had one or two functions and MHA with more features had mostly higher MARS ratings. In summary, this review demonstrated that a number of potentially helpful MHA for patients with CHD are commercially available. However, there is a lack of scientific evidence documenting their usability and clinical potential. Since it is difficult for patients and healthcare providers to find suitable and high-quality MHA, databases with professionally reviewed MHA are required.

Mobile-based interventions for common mental disorders in youth: a systematic evaluation of pediatric health apps

BACKGROUND

The access to empirically-supported treatments for common mental disorders in children and adolescents is often limited. Mental health apps might extend service supplies, as they are deemed to be cost-efficient, scalable and appealing for youth. However, little is known about the quality of available apps. Therefore, we aimed to systematically evaluate current mobile-based interventions for pediatric anxiety, depression and posttraumatic stress disorder (PTSD).

METHODS

Systematic searches were conducted in Google Play Store and Apple App Store to identify relevant apps. To be eligible for inclusion, apps needed to be: (1) designed to target either anxiety, depression or PTSD in youth (0-18 years); (2) developed for children, adolescents or caregivers; (3) provided in English or German; (4) operative after download. The quality of eligible apps was assessed with two standardized rating systems (i.e., Mobile App Rating Scale (MARS) and ENLIGHT) independently by two reviewers.

RESULTS

Overall, the searches revealed 3806 apps, with 15 mental health apps (0.39%) fulfilling our inclusion criteria. The mean overall scores suggested a moderate app quality (MARS: M = 3.59, SD = 0.50; ENLIGHT: M = 3.22, SD = 0.73). Moreover, only one app was evaluated in an RCT. The correlation of both rating scales was high (r = .936; p < .001), whereas no significant correlations were found between rating scales and user ratings (p > .05).

CONCLUSIONS

Our results point to a rather poor overall app quality, and indicate an absence of scientific-driven development and lack of methodologically sound evaluation of apps. Thus, future high-quality research is required, both in terms of theoretically informed intervention development and assessment of mental health apps in RCTs. Furthermore, institutionalized best-practices that provide central information on different aspects of apps (e.g., effectiveness, safety, and data security) for patients, caregivers, stakeholders and mental health professionals are urgently needed.

A Systematic Evaluation of Mobile Health Applications for the Prevention of Suicidal Behavior or Non-suicidal Self-injury

People with suicidal ideation and non-suicidal self-injury (NSSI) behavior face numerous barriers to help-seeking, which worsened during the COVID-19 pandemic. Mobile health applications (MHA) are discussed as one solution to improve healthcare. However, the commercial app markets are growing unregulated and rapidly, leading to an inscrutable market. This study evaluates the quality, features, functions, and prevention strategies of MHA for people with suicidal ideation and NSSI. An automatic search engine identified MHA for suicidal behavior and NSSI in the European commercial app stores. MHA quality and general characteristics were assessed using the Mobile Application Rating Scale (MARS). MHA of high quality (top 25%) were examined in detail and checked for consistency with established suicide prevention strategies. Of 10,274 identified apps, 179 MHA met the predefined inclusion criteria. Average MHA quality was moderate (M = 3.56, SD = 0.40). Most MHA provided emergency contact, but lacked security features. High-quality MHA were broadly consistent with the best-practice guidelines. The search revealed apps containing potentially harmful and triggering content, and no randomized controlled trial of any included MHA was found. Despite a large heterogeneity in the quality of MHA, high-quality MHA for suicidal behavior and NSSI are available in European commercial app stores. However, a lack of a scientific evidence base poses potential threats to users.

The Refugee and Immigrant Core Stressors Toolkit (RICST): Understanding the Multifaceted Needs of Refugee and Immigrant Youth and Families Through a Four Core Stressors Framework

Research indicates that refugee and immigrant youth commonly face four core stressors during resettlement in a new country and culture: trauma, acculturative stress, resettlement stress, and isolation. This Four Core Stressors framework can be used to educate providers about these populations’ unique needs and support assessment of relevant socioecological factors influencing health. To facilitate education, training, and dissemination of this framework and complement existing provider resources, we developed the Refugee & Immigrant Core Stressors Toolkit (RICST), a free, web-based toolkit that provides an overview of the Four Core Stressors framework, assessment questions across the four domains, scaffolding to identify needs and points of triage, and recommended interventions. Public hosting of the RICST via REDCap began in March 2018. In addition to the toolkit, users are prompted to provide location of service delivery, intended purpose of use, and interface feedback. Between March 2018 and October 2020, the RICST was used over 2300 times across 6 continents. Most providers used the toolkit to learn more about the needs of refugee and immigrant youth in general, and several noted that it is a valuable educational tool for staff unfamiliar with these populations. Open-ended qualitative feedback indicated high usability. Amidst historically high levels of forced displacement, tools to support provider effectiveness in working with these populations are increasingly needed. The RICST shows promise as an educational, assessment, and treatment-planning tool for providers working with refugee and immigrant families globally. Future directions include location-specific resource mapping and culture-specific intervention strategies.

Medical Device Regulation Efforts for mHealth Apps during the COVID-19 Pandemic—An Experience Report of Corona Check and Corona Health

Within the healthcare environment, mobile health (mHealth) applications (apps) are becoming more and more important. The number of new mHealth apps has risen steadily in the last years. Especially the COVID-19 pandemic has led to an enormous amount of app releases. In most countries, mHealth applications have to be compliant with several regulatory aspects to be declared a “medical app”. However, the latest applicable medical device regulation (MDR) does not provide more details on the requirements for mHealth applications. When developing a medical app, it is essential that all contributors in an interdisciplinary team—especially software engineers—are aware of the specific regulatory requirements beforehand. The development process, however, should not be stalled due to integration of the MDR. Therefore, a developing framework that includes these aspects is required to facilitate a reliable and quick development process. The paper at hand introduces the creation of such a framework on the basis of the Corona Health and Corona Check apps. The relevant regulatory guidelines are listed and summarized as a guidance for medical app developments during the pandemic and beyond. In particular, the important stages and challenges faced that emerged during the entire development process are highlighted.

Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis

Background

Physical inactivity is a major contributor to the development and persistence of chronic diseases. Mobile health apps that foster physical activity have the potential to assist in behavior change. However, the quality of the mobile health apps available in app stores is hard to assess for making informed decisions by end users and health care providers.

Objective

This study aimed at systematically reviewing and analyzing the content and quality of physical activity apps available in the 2 major app stores (Google Play and App Store) by using the German version of the Mobile App Rating Scale (MARS-G). Moreover, the privacy and security measures were assessed.

Methods

A web crawler was used to systematically search for apps promoting physical activity in the Google Play store and App Store. Two independent raters used the MARS-G to assess app quality. Further, app characteristics, content and functions, and privacy and security measures were assessed. The correlation between user star ratings and MARS was calculated. Exploratory regression analysis was conducted to determine relevant predictors for the overall quality of physical activity apps.

Results

Of the 2231 identified apps, 312 met the inclusion criteria. The results indicated that the overall quality was moderate (mean 3.60 [SD 0.59], range 1-4.75). The scores of the subscales, that is, information (mean 3.24 [SD 0.56], range 1.17-4.4), engagement (mean 3.19 [SD 0.82], range 1.2-5), aesthetics (mean 3.65 [SD 0.79], range 1-5), and functionality (mean 4.35 [SD 0.58], range 1.88-5) were obtained. An efficacy study could not be identified for any of the included apps. The features of data security and privacy were mainly not applied. Average user ratings showed significant small correlations with the MARS ratings (r=0.22, 95% CI 0.08-0.35; P<.001). The amount of content and number of functions were predictive of the overall quality of these physical activity apps, whereas app store and price were not.

Conclusions

Apps for physical activity showed a broad range of quality ratings, with moderate overall quality ratings. Given the present privacy, security, and evidence concerns inherent to most rated apps, their medical use is questionable. There is a need for open-source databases of expert quality ratings to foster informed health care decisions by users and health care providers.

Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps

BACKGROUND

Simulation study results suggest that COVID-19 contact tracing apps have the potential to achieve pandemic control. Concordantly, high app adoption rates were a stipulated prerequisite for success. Early studies on potential adoption were encouraging. Several factors predicting adoption rates were investigated, especially pertaining to user characteristics. Since then, several countries have released COVID-19 contact tracing apps.

OBJECTIVE

This study's primary aim is to investigate the quality characteristics of national European COVID-19 contact tracing apps, thereby shifting attention from user to app characteristics. The secondary aim is to investigate associations between app quality and adoption. Finally, app features contributing to higher app quality were identified.

METHODS

Eligible COVID-19 contact tracing apps were those released by national health authorities of European Union member states, former member states, and countries of the European Free Trade Association, all countries with comparable legal standards concerning personal data protection and app use voluntariness. The Mobile App Rating Scale was used to assess app quality. An interdisciplinary team, consisting of two health and two human-computer interaction scientists, independently conducted Mobile App Rating Scale ratings. To investigate associations between app quality and adoption rates and infection rates, Bayesian linear regression analyses were conducted.

RESULTS

We discovered 21 national COVID-19 contact tracing apps, all demonstrating high quality overall and high-level functionality, aesthetics, and information quality. However, the average app adoption rate of 22.9% (SD 12.5%) was below the level recommended by simulation studies. Lower levels of engagement-oriented app design were detected, with substantial variations between apps. By regression analyses, the best-case adoption rate was calculated by assuming apps achieve the highest ratings. The mean best-case adoption rates for engagement and overall app quality were 39.5% and 43.6%, respectively. Higher adoption rates were associated with lower cumulative infection rates. Overall, we identified 5 feature categories (symptom assessment and monitoring, regularly updated information, individualization, tracing, and communication) and 14 individual features that contributed to higher app quality. These 14 features were a symptom checker, a symptom diary, statistics on COVID-19, app use, public health instructions and restrictions, information of burden on health care system, assigning personal data, regional updates, control over tracing activity, contact diary, venue check-in, chats, helplines, and app-sharing capacity.

CONCLUSIONS

European national health authorities have generally released high quality COVID-19 contact tracing apps, with regard to functionality, aesthetics, and information quality. However, the app's engagement-oriented design generally was of lower quality, even though regression analyses results identify engagement as a promising optimization target to increase adoption rates. Associations between higher app adoption and lower infection rates are consistent with simulation study results, albeit acknowledging that app use might be part of a broader set of protective attitudes and behaviors for self and others. Various features were identified that could guide further engagement-enhancing app development.

A review on post-traumatic stress disorder (PTSD): "Symptoms, Therapies and Recent Case Studies"

Post-traumatic stress disorder (PTSD), previously known as battle fatigue syndrome or shell shock, is a severe mental disturbance condition that is normally triggered by the experience of some frightening/scary events or trauma where a person undergoes some serious physical or mental harm or threatened. PTSD is a long-life effect of the continuous occurrence of traumatic conditions which, leading the production of feelings of helplessness, intense fear, and horror in the person. There are various examples of events that can cause PTSD, such as physical, mental, or sexual assault at home or working place by others, unexpected death of a loved one, an accidental event, war, or some kind of natural disaster. Treatment of PTSD includes the removal or reduction of these emotional feelings or symptoms with the aim to improve the daily life functioning of a person. Problems which are needed to be considered in case of PTSD like ongoing trauma, abusive or bad relationships. Various drugs which are used for the treatment of PTSD include selective serotonin reuptake inhibitors (SSRIs) (citalopram, fluvoxamine, fluoxetine, etc.); tricyclic antidepressants (amitriptyline and isocarboxazid); mood stabilizers (Divalproex and lamotrigine); atypical antipsychotics (aripiprazole and quetiapine), etc. In this review, we have covered the different risk factors, case studies related to various treatment options with different age group peoples in PTSD and their effects on them. We have also covered the symptoms and associated disorders which can play a key role in the development of PTSD.

Systematic evaluation of content and quality of English and German pain apps in European app stores

BACKGROUND AND OBJECTIVE

Pain spans a broad spectrum of diseases and types that are highly prevalent and cause substantial disease burden for individuals and society. Up to 40% of people affected by pain receive no or inadequate treatment. Providing a scalable, time-, and location-independent way for pain diagnostic, management, prevention and treatment mobile health applications (MHA) might be a promising approach to improve health care for pain. However, the commercial app market is rapidly growing and unregulated, resulting in an opaque market. Studies investigating the content, privacy and security features, quality and scientific evidence of the available apps are highly needed, to guide patients and clinicians to high quality MHA.Contributing to this challenge, the present study investigates the content, quality, and privacy features of pain apps available in the European app stores.

METHODS

An automated search engine was used to identify pain apps in the European Google Play and Apple App store. Pain apps were screened and checked for systematic criteria (pain-relatedness, functionality, availability, independent usability, English or German). Content, quality and privacy features were assessed by two independent reviewers using the German Mobile Application Rating Scale (MARS-G). The MARS-G assesses quality on four objectives (engagement, functionality, aesthetics, information quality) and two subjective scales (perceived impact, subjective quality).

RESULTS

Out of 1034 identified pain apps 218 were included. Pain apps covered eight different pain types. Content included basic information, advice, assessment and tracking, and stand-alone interventions. The overall quality of the pain apps was average M = 3.13 (SD = 0.56, min = 1, max = 4.69). The effectiveness of less than 1% of the included pain apps was evaluated in a randomized controlled trial. Major problems with data privacy were present: 59% provided no imprint, 70% had no visible privacy policy.

CONCLUSION

A multitude of pain apps is available. Most MHA lack scientific evaluation and have serious privacy issues, posing a potential threat to users. Further research on evidence and improvements privacy and security are needed. Overall, the potential of pain apps is not exploited.

Low-Intensity Interventions and EMDR Therapy

Unlike high-intensity treatment, in which clients have face-to-face contact with a mental health specialist, clients in low-intensity treatment have limited or no contact with a specialist. Instead, their treatment is usually provided through self-help procedures, which are delivered via (guided) computer programs, books, or “mHealth" apps. Other treatments sometimes considered low-intensity are brief treatments, group therapy, and interventions delivered by nonspecialists. Advantages include effectiveness, accessibility, efficiency, and affordability. Concerns related to safety, engagement, and adherence to self-help programs may be addressed by (asynchronous) therapist guidance. This article describes low-intensity treatments and their relevance for eye movement desensitization and reprocessing (EMDR) therapy. Hundreds of randomized controlled trials (RCTs) have found self-help interventions to be efficacious, with many producing the same level of results as the traditional face-to-face procedure. Guided self-help cognitive behavioral therapy is recommended for the treatment of posttraumatic stress disorder in the guidelines of both the National Institute for Health and Care Excellence and International Society of Traumatic Stress Studies. Only three self-help-EMDR RCTs have been conducted. This author advocates for reconceptualizing EMDR group therapy as “guided self-help-EMDR therapy,” because it is a highly manualized, heavily scripted treatment in which the client works independently on their own material. In this respect, it offers an excellent template for the future development of efficacious low-intensity EMDR interventions. Developing safe, easy-to-use, affordable, and readily available low-intensity interventions will make effective EMDR treatment available to many millions of people around the world.

Evidence Synthesis of Digital Interventions to Mitigate the Negative Impact of the COVID-19 Pandemic on Public Mental Health: Rapid Meta-review

Background

Accumulating evidence suggests the COVID-19 pandemic has negative effects on public mental health. Digital interventions that have been developed and evaluated in recent years may be used to mitigate the negative consequences of the pandemic. However, evidence-based recommendations on the use of existing telemedicine and internet-based (eHealth) and app-based mobile health (mHealth) interventions are lacking.

Objective

The aim of this study was to investigate the theoretical and empirical base, user perspective, safety, effectiveness, and cost-effectiveness of digital interventions related to public mental health provision (ie, mental health promotion, prevention, and treatment of mental disorders) that may help to reduce the consequences of the COVID-19 pandemic.

Methods

A rapid meta-review was conducted. The MEDLINE, PsycINFO, and CENTRAL databases were searched on May 11, 2020. Study inclusion criteria were broad and considered systematic reviews and meta-analyses that investigated digital tools for health promotion, prevention, or treatment of mental health conditions and determinants likely affected by the COVID-19 pandemic.

Results

Overall, 815 peer-reviewed systematic reviews and meta-analyses were identified, of which 83 met the inclusion criteria. Our findings suggest that there is good evidence on the usability, safety, acceptance/satisfaction, and effectiveness of eHealth interventions. Evidence on mHealth apps is promising, especially if social components (eg, blended care) and strategies to promote adherence are incorporated. Although most digital interventions focus on the prevention or treatment of mental disorders, there is some evidence on mental health promotion. However, evidence on process quality, cost-effectiveness, and long-term effects is very limited.

Conclusions

There is evidence that digital interventions are particularly suited to mitigating psychosocial consequences at the population level. In times of physical distancing, quarantine, and restrictions on social contacts, decision makers should develop digital strategies for continued mental health care and invest time and efforts in the development and implementation of mental health promotion and prevention programs.

Social isolation, mental health, and use of digital interventions in youth during the COVID-19 pandemic: A nationally representative survey

Background

Public health measures to curb SARS-CoV-2 transmission rates may have negative psychosocial consequences in youth. Digital interventions may help to mitigate these effects. We investigated the associations between social isolation, COVID-19-related cognitive preoccupation, worries, and anxiety, objective social risk indicators, and psychological distress, as well as use of, and attitude toward, mobile health (mHealth) interventions in youth.

Methods

Data were collected as part of the “Mental Health And Innovation During COVID-19 Survey”—a cross-sectional panel study including a representative sample of individuals aged 16–25 years (N = 666; M_age = 21.3; assessment period: May 5, 2020 to May 16, 2020).

Results

Overall, 38% of youth met criteria for moderate or severe psychological distress. Social isolation worries and anxiety, and objective risk indicators were associated with psychological distress, with evidence of dose–response relationships for some of these associations. For instance, psychological distress was progressively more likely to occur as levels of social isolation increased (reporting “never” as reference group: “occasionally”: adjusted odds ratio [aOR] 9.1, 95% confidence interval [CI] 4.3–19.1, p < 0.001; “often”: aOR 22.2, CI 9.8–50.2, p < 0.001; “very often”: aOR 42.3, CI 14.1–126.8, p < 0.001). There was evidence that psychological distress, worries, and anxiety were associated with a positive attitude toward using mHealth interventions, whereas psychological distress, worries, and anxiety were associated with actual use.

Conclusions

Public health measures during pandemics may be associated with poor mental health outcomes in youth. Evidence-based digital interventions may help mitigate the negative psychosocial impact without risk of viral infection given there is an objective need and subjective demand.

Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores

Background

Through the increasingly aging population, the health care system is confronted with various challenges such as expanding health care costs. To manage these challenges, mobile apps may represent a cost-effective and low-threshold approach to support older adults.

Objective

This systematic review aimed to evaluate the quality, characteristics, as well as privacy and security measures of mobile apps for older adults in the European commercial app stores.

Methods

In the European Google Play and App Store, a web crawler systematically searched for mobile apps for older adults. The identified mobile apps were evaluated by two independent reviewers using the German version of the Mobile Application Rating Scale. A correlation between the user star rating and overall rating was calculated. An exploratory regression analysis was conducted to determine whether the obligation to pay fees predicted overall quality.

Results

In total, 83 of 1217 identified mobile apps were included in the analysis. Generally, the mobile apps for older adults were of moderate quality (mean 3.22 [SD 0.68]). Four mobile apps (5%) were evidence-based; 49% (41/83) had no security measures. The user star rating correlated significantly positively with the overall rating (r=.30, P=.01). Obligation to pay fees could not predict overall quality.

Conclusions

There is an extensive quality range within mobile apps for older adults, indicating deficits in terms of information quality, data protection, and security precautions, as well as a lack of evidence-based approaches. Central databases are needed to identify high-quality mobile apps.

Using EMDR Therapy to Treat Clients Remotely

During the COVID-19 pandemic, eye movement desensitization and reprocessing (EMDR) therapists have been faced with the choice of either abruptly terminating therapy with their clients or moving to working remotely, usually by videoconferencing. This poses particular challenges to therapists who may have never worked online. The standard EMDR protocol can be effectively delivered remotely when therapists are aware of how to make necessary adaptations. Based on clinical and supervision practice, this article describes ways in which EMDR therapists can adapt their ways of working in order to work effectively with clients remotely. This ensures that clients can still benefit from this effective and evidence-based treatment during a global health crisis. It suggests a number of ways in which bilateral stimulation can be achieved remotely, as well as discussing special considerations which arise with online therapeutic work. It considers adaptations which need to be made at each stage of EMDR therapy. It uses case examples from children and adults to illustrate how these adaptations work in real life. The case examples discussed in this article are illustrative of the techniques and adaptations necessary for remote EMDR and therefore reflect composites rather than individuals.

A Self-Help App for Syrian Refugees With Posttraumatic Stress (Sanadak): Randomized Controlled Trial

Background

Syrian refugees residing in Germany often develop posttraumatic stress as a result of the Syrian civil war, their escape, and postmigration stressors. At the same time, there is a lack of adequate treatment options. The smartphone-based app Sanadak was developed to provide cognitive behavioral therapy–based self-help in the Arabic language for Syrian refugees with posttraumatic stress.

Objective

The aim of this study was to evaluate the effectiveness and cost-effectiveness of the app.

Methods

In a randomized controlled trial, eligible individuals were randomly allocated to the intervention group (IG; app use) or control group (CG; psychoeducational reading material). Data were collected during structured face-to-face interviews at 3 assessments (preintervention/baseline, postintervention/after 4 weeks, follow-up/after 4 months). Using adjusted mixed-effects linear regression models, changes in posttraumatic stress and secondary outcomes were investigated as intention-to-treat (ITT) and per-protocol (PP) analysis. Cost-effectiveness was evaluated based on adjusted mean total costs, quality-adjusted life years (QALYs), and cost-effectiveness acceptability curves using the net benefit approach.

Results

Of 170 screened individuals (aged 18 to 65 years), 133 were eligible and randomized to the IG (n=65) and CG (n=68). Although there was a pre-post reduction in posttraumatic stress, ITT showed no significant differences between the IG and CG after 4 weeks (Posttraumatic Diagnostic Scale for DSM-5, Diff –0.90, 95% CI –0.24 to 0.47; P=.52) and after 4 months (Diff –0.39, 95% CI –3.24 to 2.46; P=.79). The same was true for PP. Regarding secondary outcomes, ITT indicated a treatment effect for self-stigma: after 4 weeks (Self-Stigma of Mental Illness Scale/SSMIS–stereotype agreement: d=0.86, 95% CI 0.46 to 1.25; stereotype application: d=0.60, 95% CI 0.22 to 0.99) and after 4 months (d=0.52, 95% CI 0.12 to 0.92; d=0.50, 95% CI 0.10 to 0.90), the IG showed significantly lower values in self-stigma than the CG. ITT showed no significant group differences in total costs and QALYs. The probability of cost-effectiveness was 81% for a willingness-to-pay of €0 per additional QALY but decreased with increasing willingness-to-pay.

Conclusions

Sanadak was not more effective in reducing mild to moderate posttraumatic stress in Syrian refugees than the control condition nor was it likely to be cost-effective. Therefore, Sanadak is not suitable as a standalone treatment. However, as the app usability was very good, no harms detected, and stigma significantly reduced, Sanadak has potential as a bridging aid within a stepped and collaborative care approach.

Trial Registration

German Clinical Trials Register DRKS00013782; https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00013782

International Registered Report Identifier (IRRID)

RR2-10.1186/s12888-019-2110-y

Study protocol for a network meta-analysis of digital-technology-based psychotherapies for PTSD in adults

INTRODUCTION

Studies on various types of digital-technology-based psychotherapies (DTPs) have indicated that they are effective for post-traumatic stress disorder (PTSD) symptom relief among adults. The intervention efficacy or effectiveness hierarchy, however, is still not clear. Therefore, we propose to conduct a network meta-analysis to assess the relative effectiveness of various types of DTPs. We aim to establish the differential effectiveness of these therapies in terms of symptom reduction and provide high-quality evidence for treating PTSD.

METHODS AND ANALYSES

We will search Embase, CINAHL, MEDLINE, HealthSTAR, the Cochrane Library, PsycINFO, PubMed, the Chinese Biomedical Literature Database, clinical trials (eg, ClinicalTrials.gov) and other academic platforms for relevant studies, mainly in English and Chinese (as we plan to conduct a trial on PTSD patients in Wuhan, China, based on the results of this network meta-analysis), from inception to October 2020. Randomised controlled trials (RCTs) and meta-analyses investigating the effectiveness of any DTPs for PTSD patients for any controlled condition will be included. The number of intervention sessions and the research duration are unlimited; the effects for different durations will be tested via sensitivity analysis. For this project, the primary measure of outcome will be PTSD symptoms at the end of treatment using raw scores for one widely used PTSD scale, PCL-5. Secondary outcome measures will include (1) dropout rate; (2) effectiveness at longest follow-up, but not more than 12 months and (3) patients' functional recovery ratio (such as the return-to-work ratio or percentage of sick leave). Bayesian network meta-analysis will be conducted for all relative outcome measures. We will perform subgroup analysis and sensitivity analysis to see whether the results are influenced by study characteristics. The Grading of Recommendations, Assessments, Development, and Evaluation framework will be adopted to evaluate the quality of evidence contributing to network estimates of the primary outcome.

ETHICS AND DISSEMINATION

The researchers of the primary trials already have had ethical approval for the data used in our study. We will present the results of this meta-analysis at academic conferences and publish them in peer-reviewed journals.

PROSPERO REGISTRATION NUMBER

CRD42020173253.

Stay Present with Your Phone: A Systematic Review and Standardized Rating of Mindfulness Apps in European App Stores

BACKGROUND

Mindfulness-based interventions show positive effects on physical and mental health. For a better integration of mindfulness techniques in daily life, the use of apps may be promising. However, only a few studies have examined the quality of mindfulness apps using a validated standardized instrument. This review aims to evaluate the content, quality, and privacy features of mindfulness-focused apps from European commercial app stores.

METHODS

An automated search engine (webcrawler) was used to identify mindfulness-focused apps in the European Apple App- and Google Play store. Content, quality, and privacy features were evaluated by two independent reviewers using the Mobile Application Rating Scale (MARS). The MARS assesses the subscales engagement, functionality, aesthetics, and information quality.

RESULTS

Out of 605 identified apps, 192 met the inclusion criteria. The overall quality was moderate (M = 3.66, SD = 0.48). Seven apps were tested in a randomized controlled trial (RCT). Most of the apps showed a lack of data security and no privacy policy. The five apps with the highest ratings are from a credible source, include a privacy policy, and are also based on standardized mindfulness and behavior change techniques.

CONCLUSIONS

The plethora of often low-quality apps in commercial app stores makes it difficult for users to identify a suitable app. Above that, the lack of scientific verification of effectiveness and shortcomings in privacy protection and security poses potential risks. So far, the potential of mindfulness-focused apps is not exploited in commercial app stores.

Validation of the Mobile Application Rating Scale (MARS)

BACKGROUND

Mobile health apps (MHA) have the potential to improve health care. The commercial MHA market is rapidly growing, but the content and quality of available MHA are unknown. Instruments for the assessment of the quality and content of MHA are highly needed. The Mobile Application Rating Scale (MARS) is one of the most widely used tools to evaluate the quality of MHA. Only few validation studies investigated its metric quality. No study has evaluated the construct validity and concurrent validity.

OBJECTIVE

This study evaluates the construct validity, concurrent validity, reliability, and objectivity, of the MARS.

METHODS

Data was pooled from 15 international app quality reviews to evaluate the metric properties of the MARS. The MARS measures app quality across four dimensions: engagement, functionality, aesthetics and information quality. Construct validity was evaluated by assessing related competing confirmatory models by confirmatory factor analysis (CFA). Non-centrality (RMSEA), incremental (CFI, TLI) and residual (SRMR) fit indices were used to evaluate the goodness of fit. As a measure of concurrent validity, the correlations to another quality assessment tool (ENLIGHT) were investigated. Reliability was determined using Omega. Objectivity was assessed by intra-class correlation.

RESULTS

In total, MARS ratings from 1,299 MHA covering 15 different health domains were included. Confirmatory factor analysis confirmed a bifactor model with a general factor and a factor for each dimension (RMSEA = 0.074, TLI = 0.922, CFI = 0.940, SRMR = 0.059). Reliability was good to excellent (Omega 0.79 to 0.93). Objectivity was high (ICC = 0.82). MARS correlated with ENLIGHT (ps<.05).

CONCLUSION

The metric evaluation of the MARS demonstrated its suitability for the quality assessment. As such, the MARS could be used to make the quality of MHA transparent to health care stakeholders and patients. Future studies could extend the present findings by investigating the re-test reliability and predictive validity of the MARS.

Psych-APP-Therapie: Smartphonebasierte Interventionen in der Psychotherapie – Eine systematische Übersichtsarbeit

<b><i>Hintergrund:</i></b> Technologiebasierte Interventionen haben in der Psychotherapie an Bedeutung gewonnen. Ein versorgungsrelevanter Ansatz sind Mental Health Apps. Ziel dieser systematischen Übersichtsarbeit ist es (1) international eva­luierte Apps zu den Störungsbildern Depressionen, Angststörungen und Essstörungen zu identifizieren, (2) deren Verfügbarkeit in deutschen App-Stores sowie (3) in deutscher Sprache zu prüfen und (4) ihre Effektivitätsergebnisse aus randomisiert-kontrollierten (Pilot-)Studien (RCTs) darzustellen. <b><i>Methode:</i></b> Die Übersichtsarbeit wurde in Anlehnung an das PRISMA Statement durchgeführt und ausgewertet. Eine systematische Recherche (2007–2018) der Datenbanken PubMed, PsychINFO sowie PSYNDEX wurde durchgeführt. Zudem fand eine Beurteilung der methodischen Qualität sowie der Effektivitätsergebnisse der (Pilot-)RCTs statt. <b><i>Ergebnisse:</i></b> Es wurden 2’571 Abstracts identifiziert und 47 Publikationen eingeschlossen (<i>N</i> = 32 unterschiedliche Apps; <i>N</i> = 24 [Pilot-]RCTs). Die Qualität der (Pilot-)RCTs ist überwiegend als gut bis moderat einzustufen. Die Ergebnisse waren heterogen (keine bis große Effekte [Cohens <i>d</i>] zwischen den Gruppen: –0,01; KI [–0,36; 0,34] bis 1,49; KI [1,00; 1,99]). Vier Apps mit einer Evaluation durch (Pilot-)RCTs sind in den deutschen App-Stores verfügbar – eine in deutscher Sprache. <b><i>Schlussfolgerungen:</i></b> Es liegt international eine Vielzahl von ersten App-Evaluationen zu den Störungsbildern vor, die Verfügbarkeit ausreichend evalu­ierter deutschsprachiger Apps in den deutschen App-Stores ist aber extrem limitiert. Englischsprachige, bereits evalu­ierte Apps könnten in das Deutsche übersetzt und – genauso wie schon verfügbare, aber nicht evaluierte deutschsprachige Apps – in RCTs inkl. Katamnesedaten evaluiert werden. So könnten smartphonebasierte Interventionen im Rahmen des “Digitalen-Versorgungs-Gesetzes” als ergänzendes Element in der Psychotherapie an Bedeutung gewinnen.

Self-administered EMDR therapy: potential solution for expanding the availability of psychotherapy for PTSD or unregulated recipe for disaster?

BACKGROUND

Post-traumatic stress disorder (PTSD) carries a high disease burden worldwide, yet significant barriers exist to providing and accessing treatment for PTSD, particularly in refugee populations and in low- and middle-income countries. There is emerging evidence that self-administered psychological therapies, such as those accessed via online and mobile applications, are efficacious for many mental illnesses and increase access to treatment. Online and mobile applications offering self-help tools for eye movement desensitisation reprocessing (EMDR) therapy, an internationally recommended treatment for PTSD, are already widely distributed to the public.

AIMS

To present a commentary evaluating the potential benefits and risks of self-administered EMDR therapy: first, by conducting a search for existing peer-reviewed evidence relating to self-administered EMDR therapy; second, by presenting existing evidence for other self-help psychotherapies and evaluating what additional insight this could provide into the potential efficacy, safety, tolerability and accessibility of self-administered EMDR therapy; and, third, by describing the conflicting views of EMDR experts on the topic.

METHOD

A search was conducted for articles related to internet, mobile, book or computerised self-help EMDR therapy. The following databases were searched systematically: Medline, PsycInfo, EMBASE, AMED, CINAHL, Psychology and Behavioural Sciences, Cochrane Database and the EMDR Library.

RESULTS

Only one small primary research study was found relating to self-administered EMDR therapy. The results indicated significantly reduced symptoms of PTSD, depression, anxiety, distress and disability between pre-treatment and 3 month follow-up. No serious adverse events were reported. However, substantial methodological issues were discovered.

CONCLUSIONS

There is evidence that self-administered psychotherapies, in general, can be safe, effective and highly accessible. However, controversies persist regarding the safety and potential efficacy of self-administered EMDR therapy, and more robust research is needed. It is vital that methods are found to improve worldwide access to effective PTSD treatment, particularly given the current scale of migration to flee civil unrest.

Treating Psychological Trauma in the Midst of COVID-19: The Role of Smartphone Apps

With the COVID-19 pandemic confronting health systems worldwide, medical practitioners are treating a myriad of physical symptoms that have, sadly, killed many thousands of people. There are signs that the public is also experiencing psychological trauma as they attempt to navigate their way through the COVID-19 restrictions impinging on many aspects of society. With unprecedented demand for health professionals' time, people who are unable to access face-to-face assistance are turning to smartphone apps to help them deal with symptoms of trauma. However, the evidence for smartphone apps to treat trauma is limited, and clinicians need to be aware of the limitations and unresolved issues involved in using mental health apps.

Treating posttraumatic stress disorder remotely with cognitive therapy for PTSD

Delivering trauma-focused cognitive behavioural therapy to patients with PTSD during the COVID-19 pandemic poses challenges. The therapist cannot meet with the patient in person to guide them through trauma-focused work and other treatment components, and patients are restricted in carrying out treatment-related activities and behavioural experiments that involve contact with other people. Whilst online trauma-focused CBT treatments for PTSD have been developed, which overcome some of these barriers in that they can be delivered remotely, they are not yet routinely available in clinical services in countries, such as the UK. Cognitive therapy for PTSD (CT-PTSD) is a trauma-focused cognitive behavioural therapy that is acceptable to patients, leads to high rates of recovery and is recommended as a first-line treatment for the disorder by international clinical practice guidelines. Here we describe how to deliver CT-PTSD remotely so that patients presenting with PTSD during the COVID-19 pandemic can still benefit from this evidence-based treatment.