scholarly journals Apps With Maps—Anxiety and Depression Mobile Apps With Evidence-Based Frameworks: Systematic Search of Major App Stores

10.2196/16525 ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. e16525 ◽  
Author(s):  
Jamie M Marshall ◽  
Debra A Dunstan ◽  
Warren Bartik
Keyword(s):  
Mental Health ◽  
Dialectical Behavior Therapy ◽  
Behavioral Therapy ◽  
Therapeutic Interventions ◽  
Anxiety And Depression ◽  
Future Research ◽  
Evidence Based ◽  
Health Apps ◽  
App Store ◽  
Published Evidence

Background Mobile mental health apps have become ubiquitous tools to assist people in managing symptoms of anxiety and depression. However, due to the lack of research and expert input that has accompanied the development of most apps, concerns have been raised by clinicians, researchers, and government authorities about their efficacy. Objective This review aimed to estimate the proportion of mental health apps offering comprehensive therapeutic treatments for anxiety and/or depression available in the app stores that have been developed using evidence-based frameworks. It also aimed to estimate the proportions of specific frameworks being used in an effort to understand which frameworks are having the most influence on app developers in this area. Methods A systematic review of the Apple App Store and Google Play store was performed to identify apps offering comprehensive therapeutic interventions that targeted anxiety and/or depression. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist was adapted to guide this approach. Results Of the 293 apps shortlisted as offering a therapeutic treatment for anxiety and/or depression, 162 (55.3%) mentioned an evidence-based framework in their app store descriptions. Of the 293 apps, 88 (30.0%) claimed to use cognitive behavioral therapy techniques, 46 (15.7%) claimed to use mindfulness, 27 (9.2%) claimed to use positive psychology, 10 (3.4%) claimed to use dialectical behavior therapy, 5 (1.7%) claimed to use acceptance and commitment therapy, and 20 (6.8%) claimed to use other techniques. Of the 162 apps that claimed to use a theoretical framework, only 10 (6.2%) had published evidence for their efficacy. Conclusions The current proportion of apps developed using evidence-based frameworks is unacceptably low, and those without tested frameworks may be ineffective, or worse, pose a risk of harm to users. Future research should establish what other factors work in conjunction with evidence-based frameworks to produce efficacious mental health apps.

scholarly journals Apps With Maps—Anxiety and Depression Mobile Apps With Evidence-Based Frameworks: Systematic Search of Major App Stores (Preprint)

2019 ◽  
Author(s):  
Jamie M Marshall ◽  
Debra A Dunstan ◽  
Warren Bartik
Keyword(s):  
Mental Health ◽  
Dialectical Behavior Therapy ◽  
Behavioral Therapy ◽  
Therapeutic Interventions ◽  
Anxiety And Depression ◽  
Future Research ◽  
Evidence Based ◽  
Health Apps ◽  
App Store ◽  
Published Evidence

BACKGROUND Mobile mental health apps have become ubiquitous tools to assist people in managing symptoms of anxiety and depression. However, due to the lack of research and expert input that has accompanied the development of most apps, concerns have been raised by clinicians, researchers, and government authorities about their efficacy. OBJECTIVE This review aimed to estimate the proportion of mental health apps offering comprehensive therapeutic treatments for anxiety and/or depression available in the app stores that have been developed using evidence-based frameworks. It also aimed to estimate the proportions of specific frameworks being used in an effort to understand which frameworks are having the most influence on app developers in this area. METHODS A systematic review of the Apple App Store and Google Play store was performed to identify apps offering comprehensive therapeutic interventions that targeted anxiety and/or depression. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist was adapted to guide this approach. RESULTS Of the 293 apps shortlisted as offering a therapeutic treatment for anxiety and/or depression, 162 (55.3%) mentioned an evidence-based framework in their app store descriptions. Of the 293 apps, 88 (30.0%) claimed to use cognitive behavioral therapy techniques, 46 (15.7%) claimed to use mindfulness, 27 (9.2%) claimed to use positive psychology, 10 (3.4%) claimed to use dialectical behavior therapy, 5 (1.7%) claimed to use acceptance and commitment therapy, and 20 (6.8%) claimed to use other techniques. Of the 162 apps that claimed to use a theoretical framework, only 10 (6.2%) had published evidence for their efficacy. CONCLUSIONS The current proportion of apps developed using evidence-based frameworks is unacceptably low, and those without tested frameworks may be ineffective, or worse, pose a risk of harm to users. Future research should establish what other factors work in conjunction with evidence-based frameworks to produce efficacious mental health apps.

The effects of mobile apps on stress, anxiety, and depression: overview of systematic reviews

2020 ◽  
pp. 1-11
Author(s):  
Fatemeh Khademian ◽  
Azam Aslani ◽  
Peivand Bastani
Keyword(s):  
Mental Health ◽  
Systematic Reviews ◽  
Behavioral Activation ◽  
Behavioral Therapy ◽  
Mobile Apps ◽  
Conclusive Evidence ◽  
Anxiety And Depression ◽  
Health Apps ◽  
Acceptance And Commitment ◽  
Overview Of Systematic Reviews

Abstract Objectives Despite a large number of mobile apps in the field of mental health, it is difficult to find a useful and reliable one, mainly due to the fact that the effectiveness of many apps has not been assessed scientifically. The present study aimed to assess the effects of mental health apps on managing the symptoms of stress, anxiety, and depression. Methods A comprehensive literature search was conducted in PubMed, Scopus, EMBASE, Cochrane, and Web of Science databases for the papers published from 2000 to 2019. Studies were included if they reviewed articles or mobile apps for their effectiveness in stress, anxiety, and depression. The reviews that had considered mobile apps or web-based mobile applications as an intervention or part of intervention were included, as well. Results A total of 4,999 peer-reviewed articles were identified, out of which nine systematic reviews met the inclusion criteria. Seven systematic reviews measured depression outcomes, three measured stress, and five systematic reviews measured anxiety symptoms. The applications that used behavior change strategies, such as Cognitive Behavioral Therapy, Acceptance and Commitment Therapy, and Behavioral Activation, reported significant effects on depression, anxiety, and stress. Conclusion It seems that mental health apps can be promising media for reducing depressive symptoms. This field is an emerging area of mobile health, and further research should be done in future in order to reach conclusive evidence.

scholarly journals Self-guided cognitive behavioral therapy apps: Can they help? Systematic assessment of features, functionality, and congruence with evidence (Preprint)

2021 ◽  
Author(s):  
Laura Martinengo ◽  
Anne-Claire Stona ◽  
Konstadina Griva ◽  
Paola Dazzan ◽  
Carmine Maria Pariante ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Management ◽  
Data Security ◽  
Suicide Risk ◽  
Behavioral Therapy ◽  
Cognitive Restructuring ◽  
Evidence Based ◽  
Inclusion Criteria ◽  
Systematic Assessment ◽  
Health Apps

BACKGROUND Mental health disorders affect one in ten people globally, of which around 300 million are affected by depression. At least half of affected people remain untreated. Cognitive behavioral therapy (CBT) is an effective treatment but access to specialized providers, habitually challenging, has worsened with COVID-19. Internet-based CBT (iCBT) is effective and a feasible strategy to increase access to treatment for people with depression. Mental health apps may further assist in facilitating self-management for people affected by depression but accessing the right app might be cumbersome given the large number and wide variety of apps offered by public app marketplaces. OBJECTIVE To systematically assess features, functionality, data security and congruence with evidence of self-guided CBT-based apps available in major app stores, suitable for users suffering from depression. METHODS A systematic assessment of self-guided CBT-based apps available in Google Play and Apple’s App Store was conducted. Apps launched or updated since August 2018 were identified through a systematic search in 42matters using CBT-related terms. Apps meeting inclusion criteria were downloaded and assessed using a Samsung Galaxy J7 Pro (Android 9) and iPhone 7 (iOS 13.3.1). Apps were appraised using a 182-question checklist developed by the research team, comprising apps’ general characteristics, CBT-related features, including six evidence-based CBT techniques as informed by a CBT manual, CBT competences framework and a literature review of iCBT clinical trial protocols (psychoeducation, behavioral activation, cognitive restructuring, problem solving, relaxation, and exposure for comorbid anxiety), and technical aspects and quality assurance. Results were reported as a narrative review, using descriptive statistics. RESULTS The initial search yielded 3006 apps, of which 98 apps met inclusion criteria and were systematically assessed. There were 20 wellbeing apps, 65 mental health apps and 13 depression apps. Twenty-eight apps offered at least four evidence-based CBT techniques, particularly depression apps. Cognitive restructuring was the most common technique, offered by 77/98 apps. Only a third of apps offered suicide- risk management resources while less than 20% of apps offered COVID-19-related information. Most apps included a privacy policy, but only a third of apps presented it before account creation. Eighty percent of privacy policies stated sharing data with third party service providers. Half of app development teams included academic institutions or healthcare providers. CONCLUSIONS Only few self-guided CBT-based apps offer comprehensive CBT programs or suicide risk management resources. Sharing of users’ data is widespread, highlighting shortcomings in the health app market governance. To fulfill their potential, self-guided CBT-based apps should follow evidence-based clinical guidelines, be patient-centered and enhance users’ data security. CLINICALTRIAL NA

scholarly journals Clinical or gimmickal: The use and effectiveness of mobile mental health apps for treating anxiety and depression

2019 ◽  
Vol 54 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Jamie M Marshall ◽  
Debra A Dunstan ◽  
Warren Bartik
Keyword(s):  
Mental Health ◽  
Healthcare Services ◽  
World Health ◽  
Anxiety And Depression ◽  
Future Research ◽  
Tablet Devices ◽  
Health Apps ◽  
History Of ◽  
Health Organization ◽  
Mobile Mental Health

Objectives: The increase in ownership of smartphones and tablet devices has seen a worldwide government push, championed by the World Health Organization, towards digital healthcare services generally. Mental health has been a strong presence in the digitisation of healthcare because of the potential to solve some of the difficulties in accessing face-to-face services. This review summarises the recent history of e-mental health services and illuminates two very different paths. The first is the considerable amount of research that has proven the effectiveness of many online mental health programmes for personal computers and laptops, resulting in widespread acceptance of their ability to make a contribution in an individual’s recovery from anxiety and depression. The second is associated with the more recent development of apps for smartphones and tablet devices and the contrasting paucity of research that has accompanied this burgeoning area of e-mental health. This review also outlines the current state of play for research into the effectiveness of mobile mental health apps for anxiety and depression, including issues associated with methodology, and offers sources of practical advice for clinicians wanting more information about these new digital tools. Conclusion: Research into the effectiveness of mental health apps is lacking, and the majority have no evidence of efficacy. Clinicians need to be aware of what apps have such evidence and should exercise caution when recommending apps to patients. Suggestions are offered on the direction of future research, including an appeal to further include clinicians in the development and efficacy testing of mental health apps.

scholarly journals Effectiveness of Using Mental Health Mobile Apps as Digital Antidepressants for Reducing Anxiety and Depression: Protocol for a Multiple Baseline Across-Individuals Design (Preprint)

2019 ◽  
Author(s):  
Jamie M Marshall ◽  
Debra A Dunstan ◽  
Warren Bartik
Keyword(s):  
Mental Health ◽  
Rural Areas ◽  
Mobile Apps ◽  
Text Messages ◽  
Multiple Baseline ◽  
Anxiety And Depression ◽  
Independent Evidence ◽  
Health Apps ◽  
Published Evidence

BACKGROUND The use of mental health mobile apps to treat anxiety and depression is widespread and growing. Several reviews have found that most of these apps do not have published evidence for their effectiveness, and existing research has primarily been undertaken by individuals and institutions that have an association with the app being tested. Another reason for the lack of research is that the execution of the traditional randomized controlled trial is time prohibitive in this profit-driven industry. Consequently, there have been calls for different methodologies to be considered. One such methodology is the single-case design, of which, to the best of our knowledge, no peer-reviewed published example with mental health apps for anxiety and/or depression could be located. OBJECTIVE The aim of this study is to examine the effectiveness of 5 apps (<i>Destressify, MoodMission, Smiling Mind, MindShift,</i> and <i>SuperBetter</i>) in reducing symptoms of anxiety and/or depression. These apps were selected because they are publicly available, free to download, and have published evidence of efficacy. METHODS A multiple baseline across-individuals design will be employed. A total of 50 participants will be recruited (10 for each app) who will provide baseline data for 20 days. The sequential introduction of an intervention phase will commence once baseline readings have indicated stability in the measures of participants’ mental health and will proceed for 10 weeks. Postintervention measurements will continue for a further 20 days. Participants will be required to provide daily subjective units of distress (SUDS) ratings via SMS text messages and will complete other measures at 5 different time points, including at 6-month follow-up. SUDS data will be examined via a time series analysis across the experimental phases. Individual analyses of outcome measures will be conducted to detect clinically significant changes in symptoms using the statistical approach proposed by Jacobson and Truax. Participants will rate their app on several domains at the end of the intervention. RESULTS Participant recruitment commenced in January 2020. The postintervention phase will be completed by June 2020. Data analysis will commence after this. A write-up for publication is expected to be completed after the follow-up phase is finalized in January 2021. CONCLUSIONS If the apps prove to be effective as hypothesized, this will provide collateral evidence of their efficacy. It could also provide the benefits of (1) improved access to mental health services for people in rural areas, lower socioeconomic groups, and children and adolescents and (2) improved capacity to enhance face-to-face therapy through digital homework tasks that can be shared instantly with a therapist. It is also anticipated that this methodology could be used for other mental health apps to bolster the independent evidence base for this mode of treatment. CLINICALTRIAL Australian and New Zealand Clinical Trials Registry ACTRN12619001302145p, http://www.ANZCTR.org.au/ACTRN12619001302145p.aspx INTERNATIONAL REGISTERED REPORT PRR1-10.2196/17159

scholarly journals Effectiveness of Using Mental Health Mobile Apps as Digital Antidepressants for Reducing Anxiety and Depression: Protocol for a Multiple Baseline Across-Individuals Design

10.2196/17159 ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. e17159
Author(s):  
Jamie M Marshall ◽  
Debra A Dunstan ◽  
Warren Bartik
Keyword(s):  
Mental Health ◽  
Rural Areas ◽  
Mobile Apps ◽  
Text Messages ◽  
Multiple Baseline ◽  
Anxiety And Depression ◽  
Independent Evidence ◽  
Health Apps ◽  
Published Evidence

Background The use of mental health mobile apps to treat anxiety and depression is widespread and growing. Several reviews have found that most of these apps do not have published evidence for their effectiveness, and existing research has primarily been undertaken by individuals and institutions that have an association with the app being tested. Another reason for the lack of research is that the execution of the traditional randomized controlled trial is time prohibitive in this profit-driven industry. Consequently, there have been calls for different methodologies to be considered. One such methodology is the single-case design, of which, to the best of our knowledge, no peer-reviewed published example with mental health apps for anxiety and/or depression could be located. Objective The aim of this study is to examine the effectiveness of 5 apps (Destressify, MoodMission, Smiling Mind, MindShift, and SuperBetter) in reducing symptoms of anxiety and/or depression. These apps were selected because they are publicly available, free to download, and have published evidence of efficacy. Methods A multiple baseline across-individuals design will be employed. A total of 50 participants will be recruited (10 for each app) who will provide baseline data for 20 days. The sequential introduction of an intervention phase will commence once baseline readings have indicated stability in the measures of participants’ mental health and will proceed for 10 weeks. Postintervention measurements will continue for a further 20 days. Participants will be required to provide daily subjective units of distress (SUDS) ratings via SMS text messages and will complete other measures at 5 different time points, including at 6-month follow-up. SUDS data will be examined via a time series analysis across the experimental phases. Individual analyses of outcome measures will be conducted to detect clinically significant changes in symptoms using the statistical approach proposed by Jacobson and Truax. Participants will rate their app on several domains at the end of the intervention. Results Participant recruitment commenced in January 2020. The postintervention phase will be completed by June 2020. Data analysis will commence after this. A write-up for publication is expected to be completed after the follow-up phase is finalized in January 2021. Conclusions If the apps prove to be effective as hypothesized, this will provide collateral evidence of their efficacy. It could also provide the benefits of (1) improved access to mental health services for people in rural areas, lower socioeconomic groups, and children and adolescents and (2) improved capacity to enhance face-to-face therapy through digital homework tasks that can be shared instantly with a therapist. It is also anticipated that this methodology could be used for other mental health apps to bolster the independent evidence base for this mode of treatment. International Registered Report Identifier (IRRID) PRR1-10.2196/17159

The Role of Resilience in Sexual and Gender Minority Mental Health

2020 ◽  
pp. 428-442
Author(s):  
Dawn M. Szymanski ◽  
Kirsten A. Gonzalez
Keyword(s):  
Mental Health ◽  
Minority Stress ◽  
Quantitative Research ◽  
Social Stigma ◽  
Therapeutic Interventions ◽  
Future Research ◽  
Minority Mental Health ◽  
And Gender ◽  
Structural Levels

Many lesbian, gay, bisexual, transgender, and queer (LGBTQ) persons are able to persevere and flourish despite pervasive social stigma and minority stress based on their sexual orientation and gender identity. This chapter reviews the research on LGBTQ resilience that can occur at individual, interpersonal/family, community, and contextual/structural levels. The authors describe qualitative research that has examined pathways to resilience and positive LGBTQ identity. The authors also review quantitative research on LGBTQ resilience via mediator, moderator, and moderated mediation models. Variables are described that have been found to explain or buffer the links between external and internalized minority stressors and mental health outcomes. The authors review the small but growing body of research that has begun to examine the efficacy of therapeutic interventions aimed at promoting LGBTQ resilience. Limitations are discussed and directions for future research are suggested.

scholarly journals Media consumption and mental health during COVID-19 lockdown: a UK cross-sectional study across England, Wales, Scotland and Northern Ireland

2021 ◽  
Author(s):  
Ruth D Neill ◽  
Carolyn Blair ◽  
Paul Best ◽  
Emily McGlinchey ◽  
Cherie Armour
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Media Exposure ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Future Research ◽  
Media Consumption ◽  
Sectional Study ◽  
Cross Sectional ◽  
Longitudinal Data Collection

Abstract Aim As individuals adjust to new ‘norms’ and ways of living during the COVID-19 lockdown, there is a continuing need for up-to-date information and guidance. Evidence suggests that frequent media exposure is related to a higher prevalence of mental health problems, especially anxiety and depression. The aim of this study was to determine whether COVID-19 related media consumption is associated with changes in mental health outcomes. Methods This paper presents baseline data from the COVID-19 Psychological Wellbeing Study. The cross-sectional study data was collected using an online survey following the Generalised Anxiety Disorder scale (GAD-7) and the Patient Health Questionnaire (PHQ-9), with some other basic information collected. Logistic regression analysis was used to examine the influence of socio-demographic and media specific factors on anxiety and depression. Results The study suggested that media usage is statistically significantly associated with anxiety and depression on the GAD-7 and PHQ-9 scales with excessive media exposure related to higher anxiety and depression scores. Conclusion This study indicated that higher media consumption was associated with higher levels of anxiety and depression. Worldwide it should be acknowledged that excessive media consumption, particularly social media relating to COVID-19, can have an effect on mental health. However, as this was a cross-sectional study we cannot infer any directionality as we cannot infer cause and effect; therefore, future research involving longitudinal data collection and analyses of variables over time is warranted.

scholarly journals Mental Health in Women Living With HIV: The Unique and Unmet Needs

2021 ◽  
Vol 20 ◽  
pp. 232595822098566
Author(s):  
Elizabeth M. Waldron ◽  
Inger Burnett-Zeigler ◽  
Victoria Wee ◽  
Yiukee Warren Ng ◽  
Linda J. Koenig ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Treatment ◽  
Behavioral Therapy ◽  
Well Being ◽  
Future Research ◽  
Health Issues ◽  
Women Living With Hiv ◽  
Mental Health Issues ◽  
Hiv Management ◽  
Living With Hiv

Women living with HIV (WLWH) experience depression, anxiety, and posttraumatic stress symptoms at higher rates than their male counterparts and more often than HIV-unaffected women. These mental health issues affect not only the well-being and quality of life of WLWH, but have implications for HIV management and transmission prevention. Despite these ramifications, WLWH are under-treated for mental health concerns and they are underrepresented in the mental health treatment literature. In this review, we illustrate the unique mental health issues faced by WLWH such as a high prevalence of physical and sexual abuse histories, caregiving stress, and elevated internalized stigma as well as myriad barriers to care. We examine the feasibility and outcomes of mental health interventions that have been tested in WLWH including cognitive behavioral therapy, mindfulness-based interventions, and supportive counseling. Future research is required to address individual and systemic barriers to mental health care for WLWH.

Training frontline community agency staff in dialectical behaviour therapy: building capacity to meet the mental health needs of street-involved youth

2017 ◽  
Vol 12 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Elizabeth McCay ◽  
Celina Carter ◽  
Andria Aiello ◽  
Susan Quesnel ◽  
Carol Howes ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Dialectical Behavior Therapy ◽  
Mental Health Outcomes ◽  
Evidence Based ◽  
Community Agency ◽  
Behaviour Therapy ◽  
Agency Staff ◽  
Content Type ◽  
Youth Outcomes

Purpose The purpose of this paper is to evaluate the effectiveness of the dialectical behavior therapy (DBT) training which was provided to community agency staff (N=18) implementing DBT in the community with street-involved youth. Design/methodology/approach Staff participated in a multi-component approach to training which consisted of webinars, online training, self-study manuals, and ongoing peer consultation. To evaluate assess the effectiveness of the training, questionnaires assessing evaluating DBT skills knowledge, behavioral anticipation and confidence, and DBT skills use, were completed at baseline, immediately post-training, four to six months post-training, and 12-16 months post-training. Additionally, the mental health outcomes for youth receiving the DBT intervention are reported to support the effectiveness of the training outcomes. Findings Results demonstrate that the DBT skills, knowledge, and confidence of community agency staff improved significantly from pre to post-training and that knowledge and confidence were sustained over time. Additionally, the training was clinically effective as demonstrated by the significant improvement in mental health outcomes for street-involved youth participating in the intervention. Practical implications Findings suggest that this evidence-based intervention can be taught to a range of staff working in community service agencies providing care to street-involved youth and that the intervention can be delivered effectively. Originality/value These findings help to close the knowledge-practice gap between evidence-based treatment (EBT) research and practice while promoting the implementation of EBT in the community to enhance positive youth outcomes.

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