scholarly journals Recommender systems for mental health apps: advantages and ethical challenges

AI & Society ◽  
2022 ◽  
Author(s):  
Lee Valentine ◽  
Simon D’Alfonso ◽  
Reeva Lederman
2019 ◽  
Vol 16 (2) ◽  
pp. 196-207 ◽  
Author(s):  
Christine E. Gould ◽  
Brian C. Kok ◽  
Vanessa K. Ma ◽  
Aimee Marie L. Zapata ◽  
Jason E. Owen ◽  
...  

Author(s):  
Fatemeh Khademian ◽  
Azam Aslani ◽  
Peivand Bastani

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.


2016 ◽  
Vol 33 (S1) ◽  
pp. S58-S59 ◽  
Author(s):  
H. Tuomainen ◽  
S.P. Singh ◽  

IntroductionCurrent service configuration of distinct Child and Adolescent Mental Health (CAMHS) and Adult Mental Health Services (AMHS) is considered the weakest link where the care pathway should be most robust. Transition-related discontinuity of care is a major health, socioeconomic and societal challenge for the EU.ObjectivesThe overall objective of the MILESTONE project is to improve transition from CAMHS to AMHS in diverse healthcare settings in Europe.AimsTo improve the understanding of current transition-related service characteristics, and processes, outcomes and experiences of transition from CAMHS to AMHS using a bespoke suite of measures; to explore the ethical challenges of providing appropriate care to young people as they move to adulthood; to test a model of managed transition in a cluster randomized controlled trial (cRCT) for improving health, social outcomes and transition to adult roles; and to develop training modules for clinicians and policy guidelines.MethodsData will be collected via systematic literature reviews; bespoke surveys to CAMHS professionals, experts and other stakeholders; focus groups with service providers and users and members of youth and mental health advocacy groups; and a longitudinal cohort study with a nested cRCT in eight EU countries (Belgium, Croatia, France, Germany, Ireland, Italy, Netherlands, UK) involving over 1000 CAMHS service users, their parents/carers, and clinicians, with assessments at baseline, 9, 18 and 27 months.ResultsFirst results are expected in 2016 with further major findings following in 2019.ConclusionsThe MILESTONE project will provide unprecedented information on the nature and magnitude of problems at the CAMHS-AMHS interface, and potential solutions to overcome these.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2021 ◽  
Author(s):  
Bettina Moltrecht ◽  
Praveetha Patalay ◽  
Holly Alice Bear ◽  
Jessica Deighton ◽  
Julian Edbrooke-Childs

BACKGROUND Digital interventions, including mobile apps represent promising means to provide effective mental health support to young people. Despite the increased availability of mental health apps, there is a significant gap for this age group, especially for younger children. Research investigating the effectiveness and development process of child mental health apps is limited, and the field faces persistent issues in relation to low user up-take and engagement, which is assumed to be a result of lacking interdisciplinary approaches. OBJECTIVE We present the development and design process of a new mental health app for children that targets their emotion regulation abilities. We describe the creation of a new interdisciplinary development framework, to guide the design process, and explain how each activity informed different app features. METHODS The first two stages of the framework employed a variety of methods, including: 1) classroom observations, 2) public-engagement events with the target group (N=21), 3) synthesis of the existing evidence as part of a meta-analysis, 4) a series of co-design and participatory workshops with young users (N=33), clinicians (N=7), researchers (N=12), app developers (N=1) , designers (N=2), and lastly 5) testing of the first high-tech prototype (N=15). RESULTS For the interdisciplinary framework we drew on methods derived from the medical research council framework for complex interventions, the patient-clinician-framework and Druin’s cooperative inquiry. The classroom observations, public-engagement events, and synthesis of the existing evidence informed the first key pillars of the app and wireframes. Subsequently, a series of workshops shaped and reshaped the content and app features, including games, psychoeducational films, and practice modules. Based on the prototype testing sessions we made further adjustments to improve the app. CONCLUSIONS Although mobile apps could be highly suitable to support young people’s mental health on a wider scale, there is little guidance on how these interventions could be designed. The involvement of the different methods and especially the young users was very valuable. We hope that the interdisciplinary framework and multiple methods that we applied will be helpful to others who are also aiming to develop suitable apps for young people.


2017 ◽  
Vol 8 (2) ◽  
pp. 108-122 ◽  
Author(s):  
Brea L. Perry ◽  
Emma Frieh ◽  
Eric R. Wright

Mental health services and psychiatric professional values have shifted in the past several decades toward a model of client autonomy and informed consent, at least in principle. However, it is unclear how much has changed in practice, particularly in cases where client behavior poses ethical challenges for clinicians. Drawing on the case of clients’ sexual behavior and contraception use, we examine whether sociological theories of “soft” coercion remain relevant (e.g., therapeutic social control; Horwitz 1982) in contemporary mental health treatment settings. Using structured interview data from 98 men and women with serious mental illness (SMI), we explore client experiences of choice, coercion, and the spaces that lie in between. Patterns in our data confirm Horwitz’s (1982) theory of therapeutic social control but also suggest directions for updating and extending it. Specifically, we identify four strategies used to influence client behavior: coercion, enabling, education, and conciliation. We find that most clients’ experiences reflect elements of ambiguous or limited autonomy, wherein compliance is achieved by invoking therapeutic goals. However, women with SMI disproportionately report experiencing intense persuasion and direct use or threat of force. We argue that it is critical to consider how ostensibly noncoercive and value-free interventions nonetheless reflect the goals and norms of dominant groups.


2021 ◽  
Author(s):  
Laura Martinengo ◽  
Anne-Claire Stona ◽  
Konstadina Griva ◽  
Paola Dazzan ◽  
Carmine Maria Pariante ◽  
...  

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


2015 ◽  
Vol 2 (1) ◽  
pp. e7 ◽  
Author(s):  
Jason E Owen ◽  
Beth K Jaworski ◽  
Eric Kuhn ◽  
Kerry N Makin-Byrd ◽  
Kelly M Ramsey ◽  
...  

Background A majority of Americans (58%) now use smartphones, making it possible for mobile mental health apps to reach large numbers of those who are living with untreated, or under-treated, mental health symptoms. Although early trials suggest positive effects for mobile health (mHealth) interventions, little is known about the potential public health impact of mobile mental health apps. Objective The purpose of this study was to characterize reach, use, and impact of “PTSD Coach”, a free, broadly disseminated mental health app for managing posttraumatic stress disorder (PTSD) symptoms. Methods Using a mixed-methods approach, aggregate mobile analytics data from 153,834 downloads of PTSD Coach were analyzed in conjunction with 156 user reviews. Results Over 60% of users engaged with PTSD Coach on multiple occasions (mean=6.3 sessions). User reviews reflected gratitude for the availability of the app and being able to use the app specifically during moments of need. PTSD Coach users reported relatively high levels of trauma symptoms (mean PTSD Checklist Score=57.2, SD=15.7). For users who chose to use a symptom management tool, distress declined significantly for both first-time users (mean=1.6 points, SD=2.6 on the 10-point distress thermometer) and return-visit users (mean=2.0, SD=2.3). Analysis of app session data identified common points of attrition, with only 80% of first-time users reaching the app’s home screen and 37% accessing one of the app’s primary content areas. Conclusions These findings suggest that PTSD Coach has achieved substantial and sustained reach in the population, is being used as intended, and has been favorably received. PTSD Coach is a unique platform for the delivery of mobile mental health education and treatment, and continuing evaluation and improvement of the app could further strengthen its public health impact.


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