Technological prescription: evaluation of the effectiveness of mobile applications to improve depression and anxiety. Systematic review

Effectiveness of El Buen Consejo Movil (EBCM; the mobile Sound Advice), to Reduce Symptoms of Depression, Anxiety, Loneliness, and Social Isolation among Users in the Dominican Republic

The availability of mental health services in the Dominican Republic is limited and mental health needs have increased since the onset of the COVID-19 pandemic. Mobile mental health apps may be a feasible response to this increased demand for services, but few have been tested in Spanish speaking low- and middle-income countries. The objective of this study was to evaluate the effectiveness of a mobile app, El Buen Consejo Movil (EBCM) to reduce symptoms of anxiety, depression, social isolation and loneliness. Of the twenty-seven participants who screened eligible to use EBCM, twenty participants logged in and used the app (users). The PHQ-9 results were clinically and statistically significant. A decrease in PHQ-9 score was sustained in 75% of users over 12 weeks. Results of the pre and post NIH Toolbox Adult Social Relationship Scales indicated that there was a statistically significant difference in score (p = .011). Our study is one of the few studies to trial a mobile app in a Spanish speaking Caribbean LMIC. The EBCM app was a useful and effective resource to support the therapeutic process for participants with symptoms of depression.

Determining the impact of mobile-based self-care applications on reducing anxiety in healthcare providers: a systematic review

BACKGROUND

Healthcare providers (HCP) face various stressful conditions in hospitals that result in the development of anxiety disorders. However, due to heavy workloads, they often miss the opportunity for self-care. Any effort to diminish this problem improves the quality of Healthcare providers and enhances patient safety. various applications have been developed to empower Healthcare providers and reduce their anxiety, but these applications do not meet all their individual and professional needs. The objective of this study was to investigate the impact of mobile-based self-care applications on reducing anxiety in healthcare providers.

METHODS

In this study, keywords such as anxiety, self-care, healthcare providers, and mobile health were used to search PubMed, Scopus, and Web of Science for papers published in the recent ten years (2014-2024). We used the PRISMA diagram to report the results. Ten out of 2515 retrieved articles that addressed the effect of mobile-based self-care applications on Healthcare providers' anxiety were included for analysis. Data were extracted using a data collection form designed based on the research objective. We used this form to collect data including the author's name, publication year, country, study type, intervention duration, study objectives, platform used, Modules presented in technologies, Methods of reducing anxiety, questionnaire details, and Effectiveness assessment. Data collected from the studies were analyzed by SPSS-21 using frequency and percentage.

RESULTS

Based on the results, studies were conducted in nine different countries, and the intervention duration and strategies for reducing anxiety using self-care applications ranged from two weeks to four months. The impact of mobile health applications, their content, and intervention strategies on reducing anxiety were positive. The anxiety-reduction strategies were varied among applications. Anxiety reduction strategies in this study included mindfulness, cognitive-behavioral therapy, physical activities, breathing exercises, dietary regimes, and nature exploration through virtual reality. Cognitive-behavioral therapy and mindfulness constituted the most frequently applied reduction techniques across the studies to reduce anxiety in Healthcare providers.Furthermore, the findings revealed the effectiveness of interventions in reducing other mental disorders such as anxiety, stress, depression, drug abuse, and psychotropic drug use of Healthcare providers.

CONCLUSION

The use of mobile health applications with practical strategies is effective in reducing anxiety and can also reduce other anxiety disorders in Healthcare professional.

Technological Advances in Treating Anxiety Disorders

There has been tremendous interest in utilizing digital interventions to assist in the treatment of anxiety disorders. Anxiety disorders are widely prevalent and often characterized by avoidance, intolerance of uncertainty, interpersonal concerns, and worry. Digital mental health interventions, given their flexibility, may be particularly suited to this population. The authors review the literature on the use of videoconference, virtual reality, website self-help, and mobile applications in the treatment of anxiety disorders. Empirical evidence, advantages, and disadvantages of each format are considered. Additionally, we identify clinical and social challenges unique to the use of these technologies for intervention purposes.

Effect of a novel telehealth device for dietary cognitive behavioral intervention in overweight or obesity care

Obesity has become a major public health issue which relate to numerous physical problems and highly comorbid with depression and anxiety. Recently, some studies of technology-based interventions for weight reduction emerged to overcome the barriers from time, cost and distance. Mood component and eating behavior related to obesity are less discussed so far with technology-based intervention though. This pilot study was aimed to investigate the effect of telehealth assisted intervention on weight reduction, mood status, and eating behavior change under a smartphone application (app) with novel 3D food picture recognition and incorporated with cognitive behavioral training programs. Adult aged 30-60 years old with overweight were recruited and randomly assigned to control-first group and intervention-first group. In period 1, control-first group had regular life and intervention-first group underwent app intervention; in period 2, two groups went crossover. Body composition and psychological/behavioral questionnaires were collected at baseline, end of period 1, and end of period 2. Nonparametric statistics was performed for data analyzing. A total of 20 participants were enrolled. In control-first group, there were statistically significant reduction in body weight (- 0.55 kg, p = 0.02) and change of body weight percentage (- 0.6%, p = 0.02) after App use. In intervention-first group, the fat percentage decreased by 0.4% after App use in period 1, and increased by 0.05% in period 2. The integrated crossover data revealed that subjects of App group had significant improvements in mindful eating behavior. This pilot study showed the effectiveness in using CogniNU app for weight control and eating behavior. The difference of short-term and long-term effectiveness of technology-based weight control intervention deserves more investigation in the future.Clinical Trial Registration: ISRCTN16082909.

Comparing Professional and Consumer Ratings of Mental Health Apps: Mixed Methods Study

Background

As the number of mental health apps has grown, increasing efforts have been focused on establishing quality tailored reviews. These reviews prioritize clinician and academic views rather than the views of those who use them, particularly those with lived experiences of mental health problems. Given that the COVID-19 pandemic has increased reliance on web-based and mobile mental health support, understanding the views of those with mental health conditions is of increasing importance.

Objective

This study aimed to understand the opinions of people with mental health problems on mental health apps and how they differ from established ratings by professionals.

Methods

A mixed methods study was conducted using a web-based survey administered between December 2020 and April 2021, assessing 11 mental health apps. We recruited individuals who had experienced mental health problems to download and use 3 apps for 3 days and complete a survey. The survey consisted of the One Mind PsyberGuide Consumer Review Questionnaire and 2 items from the Mobile App Rating Scale (star and recommendation ratings from 1 to 5). The consumer review questionnaire contained a series of open-ended questions, which were thematically analyzed and using a predefined protocol, converted into binary (positive or negative) ratings, and compared with app ratings by professionals and star ratings from app stores.

Results

We found low agreement between the participants’ and professionals’ ratings. More than half of the app ratings showed disagreement between participants and professionals (198/372, 53.2%). Compared with participants, professionals gave the apps higher star ratings (3.58 vs 4.56) and were more likely to recommend the apps to others (3.44 vs 4.39). Participants’ star ratings were weakly positively correlated with app store ratings (r=0.32, P=.01). Thematic analysis found 11 themes, including issues of user experience, ease of use and interactivity, privacy concerns, customization, and integration with daily life. Participants particularly valued certain aspects of mental health apps, which appear to be overlooked by professional reviewers. These included functions such as the ability to track and measure mental health and providing general mental health education. The cost of apps was among the most important factors for participants. Although this is already considered by professionals, this information is not always easily accessible.

Conclusions

As reviews on app stores and by professionals differ from those by people with lived experiences of mental health problems, these alone are not sufficient to provide people with mental health problems with the information they desire when choosing a mental health app. App rating measures must include the perspectives of mental health service users to ensure ratings represent their priorities. Additional work should be done to incorporate the features most important to mental health service users into mental health apps.

Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials

Mobile phone-based interventions have been proposed as a means for reducing the burden of disease associated with mental illness. While numerous randomized controlled trials and meta-analyses have investigated this possibility, evidence remains unclear. We conducted a systematic meta-review of meta-analyses examining mobile phone-based interventions tested in randomized controlled trials. We synthesized results from 14 meta-analyses representing 145 randomized controlled trials and 47,940 participants. We identified 34 effect sizes representing unique pairings of participants, intervention, comparisons, and outcome (PICO) and graded the strength of the evidence as using umbrella review methodology. We failed to find convincing evidence of efficacy (i.e., n > 1000, p < 10^-6, I ² < 50%, absence of publication bias); publication bias was rarely assessed for the representative effect sizes. Eight effect sizes provided highly suggestive evidence (i.e., n > 1000, p < 10^-6), including smartphone interventions outperforming inactive controls on measures of psychological symptoms and quality of life (ds = 0.32 to 0.47) and text message-based interventions outperforming non-specific controls and active controls for smoking cessation (ds = 0.31 and 0.19, respectively). The magnitude of effects and strength of evidence tended to diminish as comparison conditions became more rigorous (i.e., inactive to active, non-specific to specific). Four effect sizes provided suggestive evidence, 14 effect sizes provided weak evidence, and eight effect sizes were non-significant. Despite substantial heterogeneity, no moderators were identified. Adverse effects were not reported. Taken together, results support the potential of mobile phone-based interventions and highlight key directions to guide providers, policy makers, clinical trialists, and meta-analysts working in this area.