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Suh J, Howe E, Lewis R, Hernandez J, Saha K, Althoff T, Czerwinski M. Toward Tailoring Just-in-Time Adaptive Intervention Systems for Workplace Stress Reduction: Exploratory Analysis of Intervention Implementation. JMIR Ment Health 2024; 11:e48974. [PMID: 39264703 DOI: 10.2196/48974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/05/2024] [Accepted: 07/17/2024] [Indexed: 09/13/2024] Open
Abstract
BACKGROUND Integrating stress-reduction interventions into the workplace may improve the health and well-being of employees, and there is an opportunity to leverage ubiquitous everyday work technologies to understand dynamic work contexts and facilitate stress reduction wherever work happens. Sensing-powered just-in-time adaptive intervention (JITAI) systems have the potential to adapt and deliver tailored interventions, but such adaptation requires a comprehensive analysis of contextual and individual-level variables that may influence intervention outcomes and be leveraged to drive the system's decision-making. OBJECTIVE This study aims to identify key tailoring variables that influence momentary engagement in digital stress reduction microinterventions to inform the design of similar JITAI systems. METHODS To inform the design of such dynamic adaptation, we analyzed data from the implementation and deployment of a system that incorporates passively sensed data across everyday work devices to send just-in-time stress reduction microinterventions in the workplace to 43 participants during a 4-week deployment. We evaluated 27 trait-based factors (ie, individual characteristics), state-based factors (ie, workplace contextual and behavioral signals and momentary stress), and intervention-related factors (ie, location and function) across 1585 system-initiated interventions. We built logistical regression models to identify the factors contributing to momentary engagement, the choice of interventions, the engagement given an intervention choice, the user rating of interventions engaged, and the stress reduction from the engagement. RESULTS We found that women (odds ratio [OR] 0.41, 95% CI 0.21-0.77; P=.03), those with higher neuroticism (OR 0.57, 95% CI 0.39-0.81; P=.01), those with higher cognitive reappraisal skills (OR 0.69, 95% CI 0.52-0.91; P=.04), and those that chose calm interventions (OR 0.43, 95% CI 0.23-0.78; P=.03) were significantly less likely to experience stress reduction, while those with higher agreeableness (OR 1.73, 95% CI 1.10-2.76; P=.06) and those that chose prompt-based (OR 6.65, 95% CI 1.53-36.45; P=.06) or video-based (OR 5.62, 95% CI 1.12-34.10; P=.12) interventions were substantially more likely to experience stress reduction. We also found that work-related contextual signals such as higher meeting counts (OR 0.62, 95% CI 0.49-0.78; P<.001) and higher engagement skewness (OR 0.64, 95% CI 0.51-0.79; P<.001) were associated with a lower likelihood of engagement, indicating that state-based contextual factors such as being in a meeting or the time of the day may matter more for engagement than efficacy. In addition, a just-in-time intervention that was explicitly rescheduled to a later time was more likely to be engaged with (OR 1.77, 95% CI 1.32-2.38; P<.001). CONCLUSIONS JITAI systems have the potential to integrate timely support into the workplace. On the basis of our findings, we recommend that individual, contextual, and content-based factors be incorporated into the system for tailoring as well as for monitoring ineffective engagements across subgroups and contexts.
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Affiliation(s)
- Jina Suh
- Microsoft Research, Redmond, WA, United States
| | - Esther Howe
- Idiographic Dynamics Lab, Department of Psychology, University of California, Berkeley, CA, United States
| | - Robert Lewis
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States
| | | | - Koustuv Saha
- Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign, Urbana, IL, United States
| | - Tim Althoff
- Paul G Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, United States
| | - Mary Czerwinski
- Human-Centered Design and Engineering, University of Washington, Seattle, WA, United States
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Rookes TA, Nimmons D, Frost R, Armstrong M, Davies L, Ross J, Hopkins J, Mistry M, Taylor S, Walters K. Effectiveness of complex behaviour change interventions tested in randomised controlled trials for people with multiple long-term conditions (M-LTCs): systematic review with meta-analysis. BMJ Open 2024; 14:e081104. [PMID: 38885992 PMCID: PMC11184186 DOI: 10.1136/bmjopen-2023-081104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 05/24/2024] [Indexed: 06/20/2024] Open
Abstract
INTRODUCTION The prevalence of multiple long-term conditions (M-LTCs) increases as adults age and impacts quality of life and health outcomes. To help people manage these conditions, complex behaviour change interventions are used, often based on research conducted in those with single LTCs. However, the needs of those with M-LTCs can differ due to complex health decision-making and engagement with multiple health and care teams. OBJECTIVES The aim of this review is to identify whether current interventions are effective for people living with M-LTCs, and which outcomes are most appropriate to detect this change. METHODS Five databases (MEDLINE, Embase, PsycINFO, CINAHL and Web of Science) were systematically searched, between January 1999 and January 2022, to identify randomised controlled trials evaluating effectiveness of behaviour change interventions in people with M-LTCs. Intervention characteristics, intervention effectiveness and outcome measures were meta-analysed and narratively synthesised. RESULTS 53 eligible articles were included. Emotional well-being and psychological distress (depression and anxiety) outcomes were most amenable to change (emotional well-being: standardised mean difference (SMD) 0.31 (95% CI 0.04 to 0.58); depression psychological distress: SMD -0.45 (95% CI -0.73 to -0.16); anxiety psychological distress: SMD -0.14 (95% CI -0.28 to 0.00)), particularly for interventions with a collaborative care approach. Interventions targeting those with a physical and mental health condition and those with cognitive and/or behavioural activation approach saw larger reductions in psychological distress outcomes. Interventions that lasted for longer than 6 months significantly improved the widest variety of outcomes. CONCLUSION Complex interventions can be successfully delivered to those with M-LTCs. These are most effective at reducing psychological distress in those with physical and mental LTCs. Further research is needed to identify the effective components of interventions for people with two or more physical LTCs and which outcome is most appropriate for detecting this change.
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Affiliation(s)
- Tasmin Alanna Rookes
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Danielle Nimmons
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Rachael Frost
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Megan Armstrong
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Laura Davies
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Jamie Ross
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | | | | | - Stephanie Taylor
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Kate Walters
- Research Department of Primary Care and Population Health, University College London, London, UK
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Gordon TC, Kemp AH, Edwards DJ. Mixed-methods feasibility outcomes for a novel ACT-based video game 'ACTing Minds' to support mental health. BMJ Open 2024; 14:e080972. [PMID: 38553053 PMCID: PMC10982759 DOI: 10.1136/bmjopen-2023-080972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 03/04/2024] [Indexed: 04/02/2024] Open
Abstract
OBJECTIVES To determine the feasibility and acceptability of 'ACTing Minds', a novel single-player adventure video game based on acceptance and commitment therapy (ACT). DESIGN A single-arm, mixed-methods repeated measures feasibility study. SETTING Intervention and questionnaires were completed at home by participants. Semistructured interviews were also conducted at home via the Zoom platform. PARTICIPANTS Thirty-six participants were recruited into the study, 29 completed all phases of the feasibility design. Eligibility criteria required participants to be over the age of 18 and self-reporting experiencing ongoing depression, anxiety or stress. INTERVENTION Participants completed a single session of the 'ACTing Minds' video game, lasting approximately 1 hour, designed to educate users on key principles from ACT. PRIMARY OUTCOME MEASURES Participant recruitment and retention, questionnaire completion, long-term intervention adherence and acceptability of the intervention. Reflexive thematic analysis was conducted on semistructured interviews run immediately postintervention and 3 weeks later. SECONDARY OUTCOME MEASURES Measures of depression, anxiety, stress, psychological flexibility, social connectedness and well-being were assessed at baseline, immediately following intervention completion, and after a 3-week follow-up period. We used a standardised battery of questionnaires. PRIMARY RESULTS Twenty-nine participants completed the study. A reflexive thematic analysis indicated that participants responded positively to the intervention and the study at all stages. Themes reflect participants' desire for an engaging therapeutic experience, use of game for exploring emotions, as well as their perspectives on how they had applied their learning to the real world. SECONDARY RESULTS Quantitative results indicated small to large effect sizes associated with decreases in depression (ηp2 = 0.011), anxiety (ηp2 = 0.096) and stress (ηp2 = 0.108), and increases in psychological flexibility (ηp2 = 0.060), social connectedness (ηp2 = 0.021), well-being (ηp2 = 0.011) and participation in usual activities (ηp2 = .307). CONCLUSIONS Implementation of the 'ACTing Minds' intervention is warranted, based on both qualitative and quantitative outcomes. TRIAL REGISTRATION NUMBER NCT04566042 ClinicalTrials.gov.
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Affiliation(s)
- Tom C Gordon
- School of Psychology, Swansea University, Swansea, UK
- Department of Public Health, Swansea University, Swansea, UK
| | - Andrew H Kemp
- School of Psychology, Swansea University, Swansea, UK
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Price GD, Heinz MV, Collins AC, Jacobson NC. Detecting major depressive disorder presence using passively-collected wearable movement data in a nationally-representative sample. Psychiatry Res 2024; 332:115693. [PMID: 38194801 PMCID: PMC10983118 DOI: 10.1016/j.psychres.2023.115693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 12/21/2023] [Accepted: 12/24/2023] [Indexed: 01/11/2024]
Abstract
Major Depressive Disorder (MDD) is a heterogeneous disorder, resulting in challenges with early detection. However, changes in sleep and movement patterns may help improve detection. Thus, this study aimed to explore the utility of wrist-worn actigraphy data in combination with machine learning (ML) and deep learning techniques to detect MDD using a commonly used screening method: Patient Health Questionnaire-9 (PHQ-9). Participants (N = 8,378; MDD Screening = 766 participants) completed the and wore Actigraph GT3X+ for one week as part of the National Health and Nutrition Examination Survey (NHANES). Leveraging minute-level, actigraphy data, we evaluated the efficacy of two commonly used ML approaches and identified actigraphy-derived biomarkers indicative of MDD. We employed two ML modeling strategies: (1) a traditional ML approach with theory-driven feature derivation, and (2) a deep learning Convolutional Neural Network (CNN) approach, coupled with gramian angular field transformation. Findings revealed movement-related features to be the most influential in the traditional ML approach and nighttime movement to be the most influential in the CNN approach for detecting MDD. Using a large, nationally-representative sample, this study highlights the potential of using passively-collected, actigraphy data for understanding MDD to better improve diagnosing and treating MDD.
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Affiliation(s)
- George D Price
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States; Quantitative Biomedical Sciences Program, Dartmouth College, Lebanon, NH, United States.
| | - Michael V Heinz
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States; Department of Psychiatry, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Amanda C Collins
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States; Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
| | - Nicholas C Jacobson
- Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States; Quantitative Biomedical Sciences Program, Dartmouth College, Lebanon, NH, United States; Department of Psychiatry, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States; Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States
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Vanderkruik RC, Ferguson C, Kobylski LA, Locascio JJ, Hamlett GE, Killenberg PC, Lewis R, Jones N, Rossa ET, Dineen H, Picard R, Cohen LS. Testing a Behavioral Activation Gaming App for Depression During Pregnancy: Multimethod Pilot Study. JMIR Form Res 2024; 8:e44029. [PMID: 38277191 PMCID: PMC10858420 DOI: 10.2196/44029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 11/17/2023] [Accepted: 11/20/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Depression during pregnancy is increasingly recognized as a worldwide public health problem. If untreated, there can be detrimental outcomes for the mother and child. Anxiety is also often comorbid with depression. Although effective treatments exist, most women do not receive treatment. Technology is a mechanism to increase access to and engagement in mental health services. OBJECTIVE The Guardians is a mobile app, grounded in behavioral activation principles, which seeks to leverage mobile game mechanics and in-game rewards to encourage user engagement. This study seeks to assess app satisfaction and engagement and to explore changes in clinical symptoms of depression and anxiety among a sample of pregnant women with elevated depressive symptoms. METHODS This multimethod pilot test consisted of a single-arm, proof-of-concept trial to examine the feasibility and acceptability of The Guardians among a pregnant sample with depression (N=18). Participation included two web-based study visits: (1) a baseline assessment to collect demographic and obstetric information and to assess clinical symptoms and (2) an exit interview to administer follow-up measures and explore user experience. Participants completed biweekly questionnaires (ie, Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7) during the trial to assess depression and anxiety symptom severity. App satisfaction was measured using 2 self-report scales (ie, Mobile Application Rating Scale and Player Experience of Needs Satisfaction scale). Engagement with The Guardians was captured using game interaction metric data. We used backward-eliminated mixed effects longitudinal models to examine the effects of app engagement and satisfaction and length of time in the study on symptoms of depression and anxiety. Content analysis was conducted on qualitative data from exit interviews. RESULTS The 15-day and 30-day overall app retention rates were 26.6% and 15.1%, respectively. Mixed effects models found significant negative main effects of week in study (β=-.35; t61=-3.05; P=.003), number of activities completed (β=-.12; t61=-2.05; P=.04), days played (β=-.12; t58=-2.9; P=.005), and satisfaction, according to the Mobile Application Rating Scale (β=-3.05; t45=-2.19; P=.03) on depressive symptoms. We have reported about similar analyses for anxiety. There is preliminary evidence suggesting harder activities are associated with greater mood improvement than easier activities. Qualitative content analysis resulted in feedback falling under the following themes: activities, app design, engagement, fit of the app with lifestyle, perceived impact of the app on mood, and suggestions for app modifications. CONCLUSIONS Preliminary results from this multimethod study of The Guardians indicate feasibility and acceptability among pregnant women with depression. Retention and engagement levels were more than double those of previous public mental health apps, and use of the app was associated with significant decrease in depressive symptom scores over the 10-week trial. The Guardians shows promise as an effective and scalable digital intervention to support women experiencing depression.
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Affiliation(s)
- Rachel C Vanderkruik
- Center for Women's Mental Health, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Craig Ferguson
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Lauren A Kobylski
- Center for Women's Mental Health, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychological & Brain Sciences, George Washington University, Washington, DC, United States
| | - Joseph J Locascio
- Department of Neurology, Harvard Medical School, Boston, MA, United States
| | | | - Parker C Killenberg
- Center for Women's Mental Health, Massachusetts General Hospital, Boston, MA, United States
| | - Robert Lewis
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Noah Jones
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Ella T Rossa
- Center for Women's Mental Health, Massachusetts General Hospital, Boston, MA, United States
| | - Hannah Dineen
- Center for Women's Mental Health, Massachusetts General Hospital, Boston, MA, United States
| | - Rosalind Picard
- MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Lee S Cohen
- Center for Women's Mental Health, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
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Brotherdale R, Berry K, Branitsky A, Bucci S. Co-producing digital mental health interventions: A systematic review. Digit Health 2024; 10:20552076241239172. [PMID: 38665886 PMCID: PMC11044797 DOI: 10.1177/20552076241239172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2024] [Indexed: 04/28/2024] Open
Abstract
Objective Smartphone apps (apps) are widely recognised as promising tools for improving access to mental healthcare. However, a key challenge is the development of digital interventions that are acceptable to end users. Co-production with providers and stakeholders is increasingly positioned as the gold standard for improving uptake, engagement, and healthcare outcomes. Nevertheless, clear guidance around the process of co-production is lacking. The objectives of this review were to: (i) present an overview of the methods and approaches to co-production when designing, producing, and evaluating digital mental health interventions; and (ii) explore the barriers and facilitators affecting co-production in this context. Methods A pre-registered (CRD42023414007) systematic review was completed in accordance with The Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Five databases were searched. A co-produced bespoke quality appraisal tool was developed with an expert by experience to assess the quality of the co-production methods and approaches. A narrative synthesis was conducted. Results Twenty-six studies across 24 digital mental health interventions met inclusion criteria. App interventions were rarely co-produced with end users throughout all stages of design, development, and evaluation. Co-producing digital mental health interventions added value by creating culturally sensitive and acceptable interventions. Reported challenges included resource issues exacerbated by the digital nature of the intervention, variability across stakeholder suggestions, and power imbalances between stakeholders and researchers. Conclusions Variation in approaches to co-producing digital mental health interventions is evident, with inconsistencies between stakeholder groups involved, stage of involvement, stakeholders' roles and methods employed.
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Affiliation(s)
- Rebecca Brotherdale
- Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Katherine Berry
- Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Alison Branitsky
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Sandra Bucci
- Division of Psychology & Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
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Nagar R, Quirk HD, Anderson PL. User experiences of college students using mental health applications to improve self-care: Implications for improving engagement. Internet Interv 2023; 34:100676. [PMID: 37867616 PMCID: PMC10587513 DOI: 10.1016/j.invent.2023.100676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 08/29/2023] [Accepted: 09/27/2023] [Indexed: 10/24/2023] Open
Abstract
The purpose of this study is to evaluate themes on 'user experiences' among college students (N = 265) enrolled in an upper-division Psychopathology course who were assigned a project in which they were instructed to identify a self-care goal, choose from a list of six mental health-focused mobile applications (apps) provided by the instructor, and use the app over the course of three weeks to support progress towards their goal. Prior literature on user experiences typically evaluates user reviews, or asks participants to reflect on past app use or anticipate future use. Students reported their experiences using the app during key decision points: app selection, while using the app, and at the conclusion of the assignment. Using thematic analysis, results identified seven central themes and eight subthemes pertaining to the content of the app (e.g., app features) and the context of using the app (e.g., classroom assignment). Content-wise students liked: 1) features with a strong evidence base, namely, thought diaries and guided meditations; 2) progress tracking, because it increased awareness of mood/stressors, motivated students to see improvement, and helped them stay on track. Students appreciated having 3) crisis support resources; 4) app interfaces that allowed for customization (poor app interfaces were sometimes cited as the reason for disengagement); and 5) apps that included varied, comprehensive resources such that it felt like a one-stop shop. In addition to the content of features and design interface, the context in which mental health apps are introduced and used is important. The remaining themes related to the context in which the app was used, including 6) preparation for app usage, such as reviewing scholarly/credible sources, and 7) social support from fellow students completing the same assignment. Future research should evaluate the 'who, what, when, why, where, and how' of app utilization during key decision points, such as initial app selection or subscription renewal, to better understand the impact of user experience on engagement.
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Affiliation(s)
- Ria Nagar
- Department of Psychology, Georgia State University, United States of America
| | - Heather D. Quirk
- Department of Psychology, Georgia State University, United States of America
| | - Page L. Anderson
- Department of Psychology, Georgia State University, United States of America
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Pozuelo JR, Moffett BD, Davis M, Stein A, Cohen H, Craske MG, Maritze M, Makhubela P, Nabulumba C, Sikoti D, Kahn K, Sodi T, van Heerden A, O'Mahen HA. User-Centered Design of a Gamified Mental Health App for Adolescents in Sub-Saharan Africa: Multicycle Usability Testing Study. JMIR Form Res 2023; 7:e51423. [PMID: 38032691 PMCID: PMC10722378 DOI: 10.2196/51423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/29/2023] [Accepted: 10/30/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND There is an urgent need for scalable psychological treatments to address adolescent depression in low-resource settings. Digital mental health interventions have many potential advantages, but few have been specifically designed for or rigorously evaluated with adolescents in sub-Saharan Africa. OBJECTIVE This study had 2 main objectives. The first was to describe the user-centered development of a smartphone app that delivers behavioral activation (BA) to treat depression among adolescents in rural South Africa and Uganda. The second was to summarize the findings from multicycle usability testing. METHODS An iterative user-centered agile design approach was used to co-design the app to ensure that it was engaging, culturally relevant, and usable for the target populations. An array of qualitative methods, including focus group discussions, in-depth individual interviews, participatory workshops, usability testing, and extensive expert consultation, was used to iteratively refine the app throughout each phase of development. RESULTS A total of 160 adolescents from rural South Africa and Uganda were involved in the development process. The app was built to be consistent with the principles of BA and supported by brief weekly phone calls from peer mentors who would help users overcome barriers to engagement. Drawing on the findings of the formative work, we applied a narrative game format to develop the Kuamsha app. This approach taught the principles of BA using storytelling techniques and game design elements. The stories were developed collaboratively with adolescents from the study sites and included decision points that allowed users to shape the narrative, character personalization, in-app points, and notifications. Each story consists of 6 modules ("episodes") played in sequential order, and each covers different BA skills. Between modules, users were encouraged to work on weekly activities and report on their progress and mood as they completed these activities. The results of the multicycle usability testing showed that the Kuamsha app was acceptable in terms of usability and engagement. CONCLUSIONS The Kuamsha app uniquely delivered BA for adolescent depression via an interactive narrative game format tailored to the South African and Ugandan contexts. Further studies are currently underway to examine the intervention's feasibility, acceptability, and efficacy in reducing depressive symptoms.
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Affiliation(s)
- Julia R Pozuelo
- Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, United States
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Bianca D Moffett
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Alan Stein
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Africa Health Research Institute, KwaZulu Natal, South Africa
| | - Halley Cohen
- Lincoln College, University of Oxford, Oxford, United Kingdom
| | - Michelle G Craske
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Meriam Maritze
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Princess Makhubela
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | | | - Kathleen Kahn
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Tholene Sodi
- SAMRC-DSI/NRF-UL SARChI Research Chair in Mental Health and Society, University of Limpopo, Limpopo, South Africa
| | - Alastair van Heerden
- Center for Community Based Research, Human Sciences Research Council, Pietermaritzburg, South Africa
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Heather A O'Mahen
- Mood Disorders Centre, Department of Psychology, University of Exeter, Exeter, United Kingdom
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Miller I, Peake E, Strauss G, Vierra E, Koepsell X, Shalchi B, Padmanabhan A, Lake J. Self-Guided Digital Intervention for Depression in Adolescents: Feasibility and Preliminary Efficacy Study. JMIR Form Res 2023; 7:e43260. [PMID: 37991839 DOI: 10.2196/43260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 06/21/2023] [Accepted: 07/25/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Depression in adolescents is a large and growing problem; however, access to effective mental health care continues to be a challenge. Digitally based interventions may serve to bridge this access gap for adolescents in need of care. Digital interventions that deliver components of cognitive behavioral therapy (CBT) have been shown to reduce symptoms of depression, and virtual reality (VR) may be a promising adjunctive component. However, research on these types of treatments in adolescents and young adults is limited. OBJECTIVE This study aims to evaluate the feasibility, acceptability, and preliminary efficacy of Spark (v1.0), a 5-week, self-guided, CBT-based digital program using a mobile app and VR experiences to target symptoms of depression in adolescents. METHODS A single-arm, open-label study of the Spark program was conducted with a community sample of 30 adolescents and young adults aged 12 to 21 years with self-reported moderate to severe depression symptoms. Participants completed a weekly depression assessment (Patient Health Questionnaire-8) in the app during the 5-week intervention period as well as web-based baseline, postintervention, and 1-month follow-up self-report assessments. The participants also completed a qualitative postintervention interview. For participants aged <18 years, caregivers completed assessments at baseline and postintervention time points. Feasibility outcomes included recruitment rate (the proportion of participants who enrolled in the study divided by the total number of participants screened for eligibility) and retention rate (the proportion of participants who completed postintervention assessments divided by the total number of participants who received the intervention). Acceptability outcomes included engagement with the program and quantitative and qualitative feedback about the program. Preliminary efficacy was evaluated based on the Patient Health Questionnaire-8. RESULTS The study recruitment (31/66, 47%) and retention (29/30, 97%) rates were high. Participants provided higher ratings for the ease of use of the Spark program (8.76 out of 10) and their enjoyment of both the mobile app (7.00 out of 10) and VR components (7.48 out of 10) of the program, whereas they provided lower ratings for the program's ability to improve mood (4.38 out of 10) or fit into their daily routines (5.69 out of 10). We observed a clinically and statistically significant reduction in depression scores at postintervention (mean difference 5.36; P<.001) and 1-month follow-up (mean difference 6.44; P<.001) time points. CONCLUSIONS The Spark program was found to be a feasible and acceptable way to deliver a self-guided CBT-focused intervention to adolescents and young adults with symptoms of depression. Preliminary data also indicated that the Spark program reduced the symptoms of depression in adolescents and young adults. Future studies should evaluate the efficacy of this intervention in an adequately powered randomized controlled trial. TRIAL REGISTRATION ClinicalTrials.gov NCT04165681; https://classic.clinicaltrials.gov/ct2/show/NCT04165681.
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Affiliation(s)
- Ian Miller
- Limbix Health, Inc, San Francisco, CA, United States
| | - Emily Peake
- Limbix Health, Inc, San Francisco, CA, United States
- Big Health Inc, San Francisco, CA, United States
| | | | - Elise Vierra
- Limbix Health, Inc, San Francisco, CA, United States
- Big Health Inc, San Francisco, CA, United States
| | - Xin Koepsell
- Limbix Health, Inc, San Francisco, CA, United States
| | | | - Aarthi Padmanabhan
- Limbix Health, Inc, San Francisco, CA, United States
- Big Health Inc, San Francisco, CA, United States
| | - Jessica Lake
- Limbix Health, Inc, San Francisco, CA, United States
- Big Health Inc, San Francisco, CA, United States
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Fabian KE, Foster KT, Chwastiak L, Turner M, Wagenaar BH. Adapting a transdiagnostic digital mental health intervention for use among immigrant and refugee youth in Seattle: a human-centered design approach. Transl Behav Med 2023; 13:867-875. [PMID: 37418614 PMCID: PMC11009687 DOI: 10.1093/tbm/ibad041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2023] Open
Abstract
Digital mental health interventions show promise in addressing mental health needs, especially among youth and marginalized communities. This study adapted the World Health Organization -developed STARS (Sustainable Technology for Adolescents to Reduce Stress) digital mental health intervention for use among youth and young adults aged 14-25 from immigrant and refugee communities in Seattle, Washington. Human-centered design methods centered around qualitative semi-structured interviews were used to contextually and culturally adapt the intervention and prioritize the needs and preferences of the intended end user. Intervention prototypes were modified and then presented to the target groups in iterative cycles until saturation was achieved. Qualitative interviews occurred in three iterations of five participants each. Modifications were documented according to the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) implementation science framework. Modifications aligned with the FRAME process elements: (a) tailoring/refining, which included adapting language to less resemble digital phishing scams; (b) changes in packaging or materials, which included naming the chatbot and adopting a corresponding avatar; (c) adding/removing, which included changing existing emojis and adding additional media types including graphics interchange format images, pictures, and voice memos; (d) shortening/condensing, which included shortening the length of individual text sections as well as deleting redundant language; (e) lengthening/extending, which included allowing the user to choose to receive content catered to teenagers or to adults; and (f) loosening structure, including giving users options to skip parts of modules or to engage with additional material. The modified STARS intervention shows promise for engagement with immigrant and refugee youth in Seattle and can be examined for clinical effectiveness. Adaptations increased the relevance of content to the intended end user, expanded options for personalization and customization of the user experience, and utilized language that was age appropriate, engaging, and did not invoke feelings of stigma or distrust. Adaptations of digital mental health interventions should focus on modifications that maximize acceptability and appropriateness to intended audiences.
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Affiliation(s)
- Katrin E Fabian
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Katherine T Foster
- Department of Global Health, University of Washington, Seattle, WA, USA
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Lydia Chwastiak
- Department of Global Health, University of Washington, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Morgan Turner
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Bradley H Wagenaar
- Department of Global Health, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
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Yokomitsu K, Takashina HN, Takebayashi Y, Muranaka S. Cultural Adaptation of the Actionable Health App Evaluation in Japan: Protocol for a Web-Based Modified Delphi Expert Consensus Study. JMIR Res Protoc 2023; 12:e44469. [PMID: 37921839 PMCID: PMC10656651 DOI: 10.2196/44469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND With an increase in both the number of mental health disorders people are experiencing and the difficulty in accessing mental health care, the demand for accessible mental health care services has increased. The use of mobile devices has allowed people to receive care in their daily lives without restrictions on time or location. However, the majority of publicly available mobile health apps are not evidence-based, and the top-rated apps are not always safe or user-friendly and may not offer clinically beneficial results. OBJECTIVE This study aims to create a cultural adaptation of the American Psychiatric Association's comprehensive app evaluation framework in Japan using a web-based modified Delphi expert consensus. METHODS A web-based modified Delphi study includes developing the Japanese version of the comprehensive app evaluation framework and 3 Delphi rounds. In the first round, our working group sends a questionnaire to the panelists, who then complete it. In the second and third rounds, the working group sends a questionnaire and a summary of the panelists' answers based on each of the previous rounds. The panelists answer the questionnaires based on this summary. The summarization procedure is automated to help reduce the biases that can be generated when panelists' answers are summarized and when the panelists receive them. The working group sends only the result of the summarization with the next round's questionnaire. All interactions between the working group and the panelists will be conducted on Qualtrics (Qualtrics Japan LLC), a questionnaire platform. To culturally validate the comprehensive mental health app evaluation framework, participants from the following three categories will be recruited in Japan: (1) researchers, (2) practitioners, and (3) app developers. RESULTS This study received funding from a crowdfunding campaign in Japan (April 2023). The Delphi study began in January 2023 and will be completed in December 2023. We had already completed the translation of the 105 original app evaluation item questions by December 2022. CONCLUSIONS While the need for treatment using mental health apps is increasing, no framework that can be used to develop a centralized database for health apps is available or accessible, and no consensus has been reached among stakeholders in Japan about an appropriate framework. The results of the web-based modified Delphi method presented in this paper may provide direction for the development and use of mental health apps in the future among the relevant stakeholders. Furthermore, this study will enhance recognition of the framework among researchers, clinicians, mental health app developers, and users, in addition to devising new instruments to help users or practitioners efficiently choose the right app for their situations. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/44469.
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Affiliation(s)
- Kengo Yokomitsu
- School of Psychological Sciences, University of Human Environments, Ehime, Japan
| | - Hikari N Takashina
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | | | - Seiji Muranaka
- Graduate School of Human Sciences, Osaka University, Osaka, Japan
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Duarte-Díaz A, Perestelo-Pérez L, Gelabert E, Robles N, Pérez-Navarro A, Vidal-Alaball J, Solà-Morales O, Sales Masnou A, Carrion C. Efficacy, Safety, and Evaluation Criteria of mHealth Interventions for Depression: Systematic Review. JMIR Ment Health 2023; 10:e46877. [PMID: 37756042 PMCID: PMC10568392 DOI: 10.2196/46877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/14/2023] [Accepted: 07/15/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Depression is a significant public health issue that can lead to considerable disability and reduced quality of life. With the rise of technology, mobile health (mHealth) interventions, particularly smartphone apps, are emerging as a promising approach for addressing depression. However, the lack of standardized evaluation tools and evidence-based principles for these interventions remains a concern. OBJECTIVE In this systematic review and meta-analysis, we aimed to evaluate the efficacy and safety of mHealth interventions for depression and identify the criteria and evaluation tools used for their assessment. METHODS A systematic review and meta-analysis of the literature was carried out following the recommendations of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Studies that recruited adult patients exhibiting elevated depressive symptoms or those diagnosed with depressive disorders and aimed to assess the effectiveness or safety of mHealth interventions were eligible for consideration. The primary outcome of interest was the reduction of depressive symptoms, and only randomized controlled trials (RCTs) were included in the analysis. The risk of bias in the original RCTs was assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials. RESULTS A total of 29 RCTs were included in the analysis after a comprehensive search of electronic databases and manual searches. The efficacy of mHealth interventions in reducing depressive symptoms was assessed using a random effects meta-analysis. In total, 20 RCTs had an unclear risk of bias and 9 were assessed as having a high risk of bias. The most common element in mHealth interventions was psychoeducation, followed by goal setting and gamification strategies. The meta-analysis revealed a significant effect for mHealth interventions in reducing depressive symptoms compared with nonactive control (Hedges g=-0.62, 95% CI -0.87 to -0.37, I2=87%). Hybrid interventions that combined mHealth with face-to-face sessions were found to be the most effective. Three studies compared mHealth interventions with active controls and reported overall positive results. Safety analyses showed that most studies did not report any study-related adverse events. CONCLUSIONS This review suggests that mHealth interventions can be effective in reducing depressive symptoms, with hybrid interventions achieving the best results. However, the high level of heterogeneity in the characteristics and components of mHealth interventions indicates the need for personalized approaches that consider individual differences, preferences, and needs. It is also important to prioritize evidence-based principles and standardized evaluation tools for mHealth interventions to ensure their efficacy and safety in the treatment of depression. Overall, the findings of this study support the use of mHealth interventions as a viable method for delivering mental health care. TRIAL REGISTRATION PROSPERO CRD42022304684; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=304684.
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Affiliation(s)
- Andrea Duarte-Díaz
- Canary Islands Health Research Institute Foundation (FIISC), El Rosario, Spain
- Network for Research on Chronicity, Primary Care and Health Promotion (RICAPPS), Madrid, Spain
- The Spanish Network of Agencies for Health Technology Assessment and Services of the National Health System (RedETS), Madrid, Spain
| | - Lilisbeth Perestelo-Pérez
- Network for Research on Chronicity, Primary Care and Health Promotion (RICAPPS), Madrid, Spain
- The Spanish Network of Agencies for Health Technology Assessment and Services of the National Health System (RedETS), Madrid, Spain
- Evaluation Unit (SESCS), Canary Islands Health Service (SCS), El Rosario, Spain
| | - Estel Gelabert
- Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Bellatera (Barcelona), Spain
| | - Noemí Robles
- Network for Research on Chronicity, Primary Care and Health Promotion (RICAPPS), Madrid, Spain
- eHealth Center, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Antoni Pérez-Navarro
- Faculty of Computer Sciences, Multimedia and Telecommunication, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
- eHealth Lab Research Group, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Josep Vidal-Alaball
- Unitat de Suport a la Recerca de la Catalunya Central, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Sant Fruitós de Bages, Spain
- Health Promotion in Rural Areas Research Group, Gerencia Territorial de la Catalunya Central, Institut Català de la Salut, Sant Fruitós de Bages, Spain
- Faculty of Medicine, University of Vic-Central University of Catalonia, Vic, Spain
| | - Oriol Solà-Morales
- Fundació HiTT, Barcelona, Spain
- Universitat Internacional de Catalunya (UIC), Barcelona, Spain
- Office of Health Economics (OHE), London, United Kingdom
| | - Ariadna Sales Masnou
- Estudis de Ciències de la Salut, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Carme Carrion
- Network for Research on Chronicity, Primary Care and Health Promotion (RICAPPS), Madrid, Spain
- eHealth Lab Research Group, School of Health Sciences and eHealth Center, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
- School of Medicine, Universitat de Girona (UdG), Girona, Spain
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13
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Ollier J, Suryapalli P, Fleisch E, von Wangenheim F, Mair JL, Salamanca-Sanabria A, Kowatsch T. Can digital health researchers make a difference during the pandemic? Results of the single-arm, chatbot-led Elena+: Care for COVID-19 interventional study. Front Public Health 2023; 11:1185702. [PMID: 37693712 PMCID: PMC10485275 DOI: 10.3389/fpubh.2023.1185702] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/24/2023] [Indexed: 09/12/2023] Open
Abstract
Background The current paper details findings from Elena+: Care for COVID-19, an app developed to tackle the collateral damage of lockdowns and social distancing, by offering pandemic lifestyle coaching across seven health areas: anxiety, loneliness, mental resources, sleep, diet and nutrition, physical activity, and COVID-19 information. Methods The Elena+ app functions as a single-arm interventional study, with participants recruited predominantly via social media. We used paired samples T-tests and within subjects ANOVA to examine changes in health outcome assessments and user experience evaluations over time. To investigate the mediating role of behavioral activation (i.e., users setting behavioral intentions and reporting actual behaviors) we use mixed-effect regression models. Free-text entries were analyzed qualitatively. Results Results show strong demand for publicly available lifestyle coaching during the pandemic, with total downloads (N = 7'135) and 55.8% of downloaders opening the app (n = 3,928) with 9.8% completing at least one subtopic (n = 698). Greatest areas of health vulnerability as assessed with screening measures were physical activity with 62% (n = 1,000) and anxiety with 46.5% (n = 760). The app was effective in the treatment of mental health; with a significant decrease in depression between first (14 days), second (28 days), and third (42 days) assessments: F2,38 = 7.01, p = 0.003, with a large effect size (η2G = 0.14), and anxiety between first and second assessments: t54 = 3.7, p = <0.001 with a medium effect size (Cohen d = 0.499). Those that followed the coaching program increased in net promoter score between the first and second assessment: t36 = 2.08, p = 0.045 with a small to medium effect size (Cohen d = 0.342). Mediation analyses showed that while increasing number of subtopics completed increased behavioral activation (i.e., match between behavioral intentions and self-reported actual behaviors), behavioral activation did not mediate the relationship to improvements in health outcome assessments. Conclusions Findings show that: (i) there is public demand for chatbot led digital coaching, (ii) such tools can be effective in delivering treatment success, and (iii) they are highly valued by their long-term user base. As the current intervention was developed at rapid speed to meet the emergency pandemic context, the future looks bright for other public health focused chatbot-led digital health interventions.
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Affiliation(s)
- Joseph Ollier
- Mobiliar Lab for Analytics, Chair of Technology Marketing, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Pavani Suryapalli
- Centre for Digital Health Interventions, Institute of Technology Management, University of St. Gallen, St. Gallen, Switzerland
| | - Elgar Fleisch
- Centre for Digital Health Interventions, Institute of Technology Management, University of St. Gallen, St. Gallen, Switzerland
- Centre for Digital Health Interventions, Chair of Information Management, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
| | - Florian von Wangenheim
- Mobiliar Lab for Analytics, Chair of Technology Marketing, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
- Centre for Digital Health Interventions, Chair of Information Management, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
| | - Jacqueline Louise Mair
- Centre for Digital Health Interventions, Chair of Information Management, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Alicia Salamanca-Sanabria
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Tobias Kowatsch
- Centre for Digital Health Interventions, Chair of Information Management, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland
- School of Medicine, University of St. Gallen, St. Gallen, Switzerland
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Lin X, Martinengo L, Jabir AI, Ho AHY, Car J, Atun R, Tudor Car L. Scope, Characteristics, Behavior Change Techniques, and Quality of Conversational Agents for Mental Health and Well-Being: Systematic Assessment of Apps. J Med Internet Res 2023; 25:e45984. [PMID: 37463036 PMCID: PMC10394504 DOI: 10.2196/45984] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 04/05/2023] [Accepted: 06/20/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Mental disorders cause substantial health-related burden worldwide. Mobile health interventions are increasingly being used to promote mental health and well-being, as they could improve access to treatment and reduce associated costs. Behavior change is an important feature of interventions aimed at improving mental health and well-being. There is a need to discern the active components that can promote behavior change in such interventions and ultimately improve users' mental health. OBJECTIVE This study systematically identified mental health conversational agents (CAs) currently available in app stores and assessed the behavior change techniques (BCTs) used. We further described their main features, technical aspects, and quality in terms of engagement, functionality, esthetics, and information using the Mobile Application Rating Scale. METHODS The search, selection, and assessment of apps were adapted from a systematic review methodology and included a search, 2 rounds of selection, and an evaluation following predefined criteria. We conducted a systematic app search of Apple's App Store and Google Play using 42matters. Apps with CAs in English that uploaded or updated from January 2020 and provided interventions aimed at improving mental health and well-being and the assessment or management of mental disorders were tested by at least 2 reviewers. The BCT taxonomy v1, a comprehensive list of 93 BCTs, was used to identify the specific behavior change components in CAs. RESULTS We found 18 app-based mental health CAs. Most CAs had <1000 user ratings on both app stores (12/18, 67%) and targeted several conditions such as stress, anxiety, and depression (13/18, 72%). All CAs addressed >1 mental disorder. Most CAs (14/18, 78%) used cognitive behavioral therapy (CBT). Half (9/18, 50%) of the CAs identified were rule based (ie, only offered predetermined answers) and the other half (9/18, 50%) were artificial intelligence enhanced (ie, included open-ended questions). CAs used 48 different BCTs and included on average 15 (SD 8.77; range 4-30) BCTs. The most common BCTs were 3.3 "Social support (emotional)," 4.1 "Instructions for how to perform a behavior," 11.2 "Reduce negative emotions," and 6.1 "Demonstration of the behavior." One-third (5/14, 36%) of the CAs claiming to be CBT based did not include core CBT concepts. CONCLUSIONS Mental health CAs mostly targeted various mental health issues such as stress, anxiety, and depression, reflecting a broad intervention focus. The most common BCTs identified serve to promote the self-management of mental disorders with few therapeutic elements. CA developers should consider the quality of information, user confidentiality, access, and emergency management when designing mental health CAs. Future research should assess the role of artificial intelligence in promoting behavior change within CAs and determine the choice of BCTs in evidence-based psychotherapies to enable systematic, consistent, and transparent development and evaluation of effective digital mental health interventions.
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Affiliation(s)
- Xiaowen Lin
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Laura Martinengo
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Ahmad Ishqi Jabir
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Andy Hau Yan Ho
- Psychology Programme, School of Social Sciences, Nanyang Technological University Singapore, Singapore, Singapore
- Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
- Palliative Care Centre for Excellence in Research and Education, Singapore, Singapore
| | - Josip Car
- Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Rifat Atun
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Cambridge, MA, United States
| | - Lorainne Tudor Car
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
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Lukka L, Karhulahti VM, Palva JM. Factors Affecting Digital Tool Use in Client Interaction According to Mental Health Professionals: Interview Study. JMIR Hum Factors 2023; 10:e44681. [PMID: 37428520 PMCID: PMC10366964 DOI: 10.2196/44681] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 03/16/2023] [Accepted: 04/30/2023] [Indexed: 07/11/2023] Open
Abstract
BACKGROUND Digital tools and interventions are being increasingly developed in response to the growing mental health crisis, and mental health professionals (MHPs) considerably influence their adoption in client practice. However, how MHPs use digital tools in client interaction is yet to be sufficiently understood, which poses challenges to their design, development, and implementation. OBJECTIVE This study aimed to create a contextual understanding of how MHPs use different digital tools in clinical client practice and what characterizes the use across tools. METHODS A total of 19 Finnish MHPs participated in semistructured interviews, and the data were transcribed, coded, and inductively analyzed. RESULTS We found that MHP digital tool use was characterized by 3 distinct functions: communication, diagnosis and evaluation, and facilitating therapeutic change. The functions were addressed using analog tools, digitized tools that mimic their analog counterparts, and digital tools that use the possibilities native to digital. The MHP-client communication included various media alongside face-to-face meetings, the MHPs increasingly used digitized tools in client evaluation, and the MHPs actively used digitized materials to facilitate therapeutic change. MHP tool use was generally characterized by adaptability-it was negotiated in client interactions. However, there was considerable variance in the breadth of MHPs' digital toolbox. The existing clinical practices emphasized MHP-client interaction and invited incremental rather than radical developments, which challenged the achievement of the scalability benefits expected from digital tools. CONCLUSIONS MHPs use digitized and digital tools in client practice. Our results contribute to the user-centered research, development, and implementation of new digital solutions in mental health care by classifying them according to their function and medium and describing how MHPs use and do not use them.
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Affiliation(s)
- Lauri Lukka
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
| | - Veli-Matti Karhulahti
- Faculty of Humanities and Social Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - J Matias Palva
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- Centre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom
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Shen Y, Hu Y, Zhou Y, Fan X. Non-suicidal self-injury function: prevalence in adolescents with depression and its associations with non-suicidal self-injury severity, duration and suicide. Front Psychiatry 2023; 14:1188327. [PMID: 37333917 PMCID: PMC10272341 DOI: 10.3389/fpsyt.2023.1188327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 05/15/2023] [Indexed: 06/20/2023] Open
Abstract
Background Given that adolescents with depression are at the highest risk for non-suicidal self-injury (NSSI), a thorough understanding of their NSSI functions, as well as associations between functions and severe behavioral consequences, is essential for risk assessment and invention development. Methods Adolescents with depression from 16 hospitals across China, for whom data was available regarding their NSSI function, frequency, number of methods used, time characteristics, and suicide history were included. Descriptive statistical analyses were performed to determine the prevalence of NSSI functions. Regression analyses were conducted to explore the relationship between NSSI functions and behavioral characteristics of NSSI and suicide attempts. Results Affect regulation was the primary function of NSSI and followed by anti-dissociation in adolescents with depression. Females recognized automatic reinforcement functions more frequently than males, while males had a higher prevalence of social positive reinforcement functions. Automatic reinforce functions played the prominent role in associations between NSSI functions and all the severe behavioral consequences. Specifically, functions of anti-dissociation, affect regulation, and self-punishment were all associated with NSSI frequency, while higher levels of endorsements for anti-dissociation and self-punishment were linked to more NSSI methods, and greater level of endorsement for anti-dissociation was related to longer NSSI duration. Only the increase in endorsement of self-punishment was associated with a greater hazard of suicide attempts. Conclusion The dominant functions of NSSI in adolescents with depression was automatic reinforcement, specifically affect regulation. And prevalence of NSSI function differed between males and females. Anti-dissociation and self-punishment seemed to be the most risky factors as they were linked to severe NSSI or suicide behaviors. More attention should be given to these functions in risk evaluation, and the targeted interventions should be developed accordingly in a timely manner.
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Affiliation(s)
- Ying Shen
- Psychosomatic Medicine, The Third People’s Hospital of Ganzhou, Ganzhou, China
| | - Yingzi Hu
- Department of Psychology, Fudan University, Shanghai, China
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center of Tongji University, Shanghai, China
| | - Yongjie Zhou
- Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, China
| | - Xiwang Fan
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center of Tongji University, Shanghai, China
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Kulikov VN, Crosthwaite PC, Hall SA, Flannery JE, Strauss GS, Vierra EM, Koepsell XL, Lake JI, Padmanabhan A. A CBT-based mobile intervention as an adjunct treatment for adolescents with symptoms of depression: a virtual randomized controlled feasibility trial. Front Digit Health 2023; 5:1062471. [PMID: 37323125 PMCID: PMC10262850 DOI: 10.3389/fdgth.2023.1062471] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 04/27/2023] [Indexed: 06/17/2023] Open
Abstract
Background High rates of adolescent depression demand for more effective, accessible treatment options. A virtual randomized controlled trial was used to assess the feasibility and acceptability of a 5-week, self-guided, cognitive behavioral therapy (CBT)-based mobile application, Spark, compared to a psychoeducational mobile application (Active Control) as an adjunct treatment for adolescents with depression during the COVID-19 pandemic. Methods A community sample aged 13-21, with self-reported symptoms of depression, was recruited nationwide. Participants were randomly assigned to use either Spark or Active Control (NSpark = 35; NActive Control = 25). Questionnaires, including the PHQ-8 measuring depression symptoms, completed before, during, and immediately following completion of the intervention, evaluated depressive symptoms, usability, engagement, and participant safety. App engagement data were also analyzed. Results 60 eligible adolescents (female = 47) were enrolled in 2 months. 35.6% of those expressing interest were consented and all enrolled. Study retention was high (85%). Spark users rated the app as usable (System Usability Scalemean = 80.67) and engaging (User Engagement Scale-Short Formmean = 3.62). Median daily use was 29%, and 23% completed all levels. There was a significant negative relationship between behavioral activations completed and change in PHQ-8. Efficacy analyses revealed a significant main effect of time, F = 40.60, p < .001, associated with decreased PHQ-8 scores over time. There was no significant Group × Time interaction (F = 0.13, p = .72) though the numeric decrease in PHQ-8 was greater for Spark (4.69 vs. 3.56). No serious adverse events or adverse device effects were reported for Spark users. Two serious adverse events reported in the Active Control group were addressed per our safety protocol. Conclusion Recruitment, enrollment, and retention rates demonstrated study feasibility by being comparable or better than other mental health apps. Spark was highly acceptable relative to published norms. The study's novel safety protocol efficiently detected and managed adverse events. The lack of significant difference in depression symptom reduction between Spark and Active Control may be explained by study design and study design factors. Procedures established during this feasibility study will be leveraged for subsequent powered clinical trials evaluating app efficacy and safety. Clinical Trial Registration https://clinicaltrials.gov/ct2/show/NCT04524598.
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Affiliation(s)
- Vera N. Kulikov
- Research Department, Limbix Health, San Francisco, CA, United States
| | | | - Shana A. Hall
- Research Department, Limbix Health, San Francisco, CA, United States
| | | | | | - Elise M. Vierra
- Content Department, Limbix Health, San Francisco, CA, United States
| | - Xin L. Koepsell
- Content Department, Limbix Health, San Francisco, CA, United States
| | - Jessica I. Lake
- Science Department, Limbix Health, San Francisco, CA, United States
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Castro O, Mair JL, Salamanca-Sanabria A, Alattas A, Keller R, Zheng S, Jabir A, Lin X, Frese BF, Lim CS, Santhanam P, van Dam RM, Car J, Lee J, Tai ES, Fleisch E, von Wangenheim F, Tudor Car L, Müller-Riemenschneider F, Kowatsch T. Development of "LvL UP 1.0": a smartphone-based, conversational agent-delivered holistic lifestyle intervention for the prevention of non-communicable diseases and common mental disorders. Front Digit Health 2023; 5:1039171. [PMID: 37234382 PMCID: PMC10207359 DOI: 10.3389/fdgth.2023.1039171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 04/06/2023] [Indexed: 05/28/2023] Open
Abstract
Background Non-communicable diseases (NCDs) and common mental disorders (CMDs) are the leading causes of death and disability worldwide. Lifestyle interventions via mobile apps and conversational agents present themselves as low-cost, scalable solutions to prevent these conditions. This paper describes the rationale for, and development of, "LvL UP 1.0″, a smartphone-based lifestyle intervention aimed at preventing NCDs and CMDs. Materials and Methods A multidisciplinary team led the intervention design process of LvL UP 1.0, involving four phases: (i) preliminary research (stakeholder consultations, systematic market reviews), (ii) selecting intervention components and developing the conceptual model, (iii) whiteboarding and prototype design, and (iv) testing and refinement. The Multiphase Optimization Strategy and the UK Medical Research Council framework for developing and evaluating complex interventions were used to guide the intervention development. Results Preliminary research highlighted the importance of targeting holistic wellbeing (i.e., both physical and mental health). Accordingly, the first version of LvL UP features a scalable, smartphone-based, and conversational agent-delivered holistic lifestyle intervention built around three pillars: Move More (physical activity), Eat Well (nutrition and healthy eating), and Stress Less (emotional regulation and wellbeing). Intervention components include health literacy and psychoeducational coaching sessions, daily "Life Hacks" (healthy activity suggestions), breathing exercises, and journaling. In addition to the intervention components, formative research also stressed the need to introduce engagement-specific components to maximise uptake and long-term use. LvL UP includes a motivational interviewing and storytelling approach to deliver the coaching sessions, as well as progress feedback and gamification. Offline materials are also offered to allow users access to essential intervention content without needing a mobile device. Conclusions The development process of LvL UP 1.0 led to an evidence-based and user-informed smartphone-based intervention aimed at preventing NCDs and CMDs. LvL UP is designed to be a scalable, engaging, prevention-oriented, holistic intervention for adults at risk of NCDs and CMDs. A feasibility study, and subsequent optimisation and randomised-controlled trials are planned to further refine the intervention and establish effectiveness. The development process described here may prove helpful to other intervention developers.
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Affiliation(s)
- Oscar Castro
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
| | - Jacqueline Louise Mair
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Alicia Salamanca-Sanabria
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
| | - Aishah Alattas
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
| | - Roman Keller
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Shenglin Zheng
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Ahmad Jabir
- Neuroscience and Mental Health, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Xiaowen Lin
- Neuroscience and Mental Health, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
| | - Bea Franziska Frese
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Centre for Digital Health Interventions,Institute of Technology Management, University of St. Gallen, St. Gallen, Switzerland
| | - Chang Siang Lim
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
| | - Prabhakaran Santhanam
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Rob M. van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington DC, DC, United States
| | - Josip Car
- Centre for Population Health Sciences, LKCMedicine, Nanyang Technological University, Singapore, Singapore
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Jimmy Lee
- Neuroscience and Mental Health, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
- Research Division, Institute of Mental Health, Singapore, Singapore
- North Region & Department of Psychosis, Institute of Mental Health, Singapore, Singapore
| | - E Shyong Tai
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Elgar Fleisch
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Centre for Digital Health Interventions,Institute of Technology Management, University of St. Gallen, St. Gallen, Switzerland
| | - Florian von Wangenheim
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Lorainne Tudor Car
- Neuroscience and Mental Health, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Falk Müller-Riemenschneider
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Digital Health Center, Berlin Institute of Health, Charite University Medical Centre Berlin, Berlin, Germany
| | - Tobias Kowatsch
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
- Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland
- School of Medicine, University of St. Gallen, St. Gallen, Switzerland
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Guerrero-Jiménez M, Ruiz M, Gutiérrez-Rojas L, Jiménez-Muñoz L, Baca-Garcia E, Porras-Segovia A. Use of new technologies for the promotion of physical activity in patients with mental illness: A systematic review. World J Psychiatry 2023; 13:182-190. [PMID: 37123096 PMCID: PMC10130960 DOI: 10.5498/wjp.v13.i4.182] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 01/14/2023] [Accepted: 03/21/2023] [Indexed: 04/18/2023] Open
Abstract
BACKGROUND Physical exercise is an underutilized tool for the management of mental disorders. New technologies have made a breakthrough in health care, and one of its possible applications (apps) could be that of customizing exercise programs for special populations, such as patients with mental disorders. However, the app of the so-called e-health to mental health care is still limited.
AIM To know the efficacy of apps to promote physical activity in patients with mental disorders.
METHODS We conducted a systematic review of the PubMed and Embase databases with the aim of exploring the use of new technologies for the enhancement of physical exercise in patients with a psychiatric illness. Following the selection process, 10 articles were included in the review.
RESULTS The most commonly used devices in this type of intervention are wearable devices and web platforms. Good results in terms of effectiveness and acceptability were obtained in most of the studies.
CONCLUSION Our findings suggest that the use of new technologies in mental health represents a feasible strategy with great potential in clinical practice.
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Affiliation(s)
| | - Marta Ruiz
- Department of Psychiatry, Hospital Rey Juan Carlos, Móstoles 28933, Madrid, Spain
| | | | - Laura Jiménez-Muñoz
- Department of Psychiatry, Hospital Universitario Jiménez Díaz, Madrid 28040, Spain
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21
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Šilić P, Motl RW, Duffecy J. Multiple Sclerosis and Anxiety: Is there an untapped opportunity for exercise? Mult Scler Relat Disord 2023; 73:104698. [PMID: 37058904 DOI: 10.1016/j.msard.2023.104698] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 03/22/2023] [Accepted: 04/02/2023] [Indexed: 04/05/2023]
Abstract
BACKGROUND Anxiety symptoms and anxiety disorders are prevalent and burdensome, yet poorly managed in multiple sclerosis (MS). Indeed, anxiety disorders occur in 22% of people with MS, and anxiety can negatively impact physical function, cognition, and quality of life. Currently, there are no treatment guidelines available for anxiety in MS, based on limited information regarding the efficacy of pharmacotherapy and psychotherapy. Exercise training may be a promising avenue for treatment of anxiety in MS, and this is based, in part, on a wealth of evidence in the general population of adults. This review provides an overview of anxiety and evidence from meta-analyses and systematic reviews for current treatments options in the general population and MS. We further make a case for exercise as a novel treatment approach that requires focal examination in persons with MS. METHODS We conducted a scoping review of available research, including systematic reviews and meta-analyses, on anxiety and its prevalence, predictors, consequences, and treatments in MS. We then noted limitations with existing evidence regarding treatment options, and then provided a backdrop based on evidence from the general population for the novel proposition of exercise as treatment of anxiety in MS. RESULTS Pharmacotherapy and psychotherapy treatments of anxiety may be efficacious, but come with significant limitations, especially for persons with MS. Exercise is a promising novel avenue for treatment of anxiety in MS, and has a positive side-effect profile. CONCLUSION Anxiety is under-investigated and poorly treated in MS. There is a paucity of evidence for the relationship between exercise training and anxiety in MS, but the evidence in the general population supports the urgent need for systematic examination of the efficacy of exercise in treating anxiety symptoms and disorders in persons with MS.
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Affiliation(s)
- Petra Šilić
- Department of Kinesiology and Nutrition, University of Illinois Chicago, 1919 W. Taylor Street, AHSB 545, Chicago, IL 60612, United States.
| | - Robert W Motl
- Department of Kinesiology and Nutrition, University of Illinois Chicago, 1919 W. Taylor Street, AHSB 545, Chicago, IL 60612, United States
| | - Jennifer Duffecy
- Department of Psychiatry, University of Illinois Chicago, 912 S. Wood Street, MC 913, Chicago, IL 60612, United States
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22
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Herbert KL, Brennan JMM. Use of Mobile Apps & Stepped-Care Model for Treating Depression in Primary Care. Prim Care 2023; 50:11-19. [PMID: 36822721 DOI: 10.1016/j.pop.2022.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Stepped-care (SC) models have been adopted in primary care settings as a method for treating mental health conditions within primary care. In a SC model, a patient's symptoms are assessed, and an intervention is prescribed that matches the severity of symptoms. Thus, the SC model offers a variety of steps and levels of treatment that range from low to high intensity. Progression in treatment is monitored on a weekly basis and patients are stepped up or down in level of care depending on their clinical response to the intervention.
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Affiliation(s)
- Krista L Herbert
- VA Portland Health Care System, 3710 Southwest US Veterans Hospital Road, Portland, OR 97239, USA.
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23
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Cobb CL. Editorial Perspective: Reducing mental health disparities among underserved youth: using technology to equip parents as agents of change. J Child Psychol Psychiatry 2023; 64:480-483. [PMID: 36106674 DOI: 10.1111/jcpp.13703] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/28/2022] [Indexed: 02/07/2023]
Abstract
Prevalence rates for youth psychopathology have steadily increased over the last two decades. Youth from underserved families (e.g. racial/ethnic minority, rural, poor, gender, and sexual minority) are disparately impacted as they face myriad risk factors that adversely affect their mental health. Parents play an integral role in their mental health of underserved youth as they are responsible for making sure that their children get the help that they need. Yet, parents in underserved families often cannot access mental health treatment due to persistent barriers they face such as stigma, discrimination, and high treatment costs, to name a few. Consequently, parents from these families are less likely to receive the psychological training necessary to intervene in their youths' mental health. Although traditional parent management training programs have made progress toward equipping parents with important mental health services, these programs often require considerable investment of time and resources (e.g. money, childcare, in-person attendance) that make them inaccessible to disadvantaged families. Digital mental health interventions (DMHIs) offer to provide parents in underserved families with the psychological training they need to effectively intervene in their youth's mental health while overcoming barriers to care. However, few to no culturally sensitive and evidence-based DMHIs exist to address the mental health needs of underserved families. This editorial perspective highlights the need to develop and implement parent-focused DMHIs for underserved families so that parents will have the mental health resources they need to act as agents of change.
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Affiliation(s)
- Cory L Cobb
- Department of Human Development and Family Sciences, Auburn University, Auburn, AL, USA
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24
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Fernandes CSF, Deng Y, Tran AH, Hieftje KD, Boomer TMP, Taylor CK, Fiellin LE. A Pilot Randomized Controlled Trial to Evaluate a Cognitive Behavioral Videogame Intervention: empowerED. Games Health J 2023; 12:42-52. [PMID: 36350349 PMCID: PMC10331148 DOI: 10.1089/g4h.2021.0118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Objective: To design a cognitive behavioral videogame intervention and to evaluate its preliminary effect on improving youth's perceptions about themselves, their future, and their ability by incorporating skill development in cognitive reappraisal, an emotion regulation strategy to change perceptions. Materials and Methods: We conducted a pilot RCT to evaluate the preliminary efficacy of a videogame intervention, empowerED, in enhancing cognitive reappraisal skills. We also assessed beliefs/attitudes, self-efficacy, and emotional self-efficacy as well as user experience and feasibility. Youth (N = 100) aged 14-19 years from one school were enrolled in a pilot RCT assigned either to play empowerED or a control condition. Results: Improvements were noted in cognitive reappraisal in the empowerED group compared to the control group (LSM difference = 1.33, P = 0.01). There were no significant differences observed between treatment groups for beliefs/attitudes, self-efficacy, and emotional self-efficacy; however, the empowerED group reported improvements in beliefs/attitudes from pretest to posttest survey responses (M = 1.33, P = 0.01). Conclusion: Overall, the intervention was deemed easy to use and beneficial among youth, and feasibly delivered in a high school setting. Given the growing youth mental health needs in schools and the importance of school climate on healthy development, empowerED may offer an effective and innovative student-level approach to improve cognitive reappraisal and later empower youth to enact change in their school climate. Clinical Trials.gov Identifier: NCT04025294.
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Affiliation(s)
- Claudia-Santi F. Fernandes
- play2PREVENT Lab/Yale Center for Health & Learning Games, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
- Yale Child Study Center, New Haven, Connecticut, USA
| | - Yanhong Deng
- Yale Center for Analytical Sciences, New Haven, Connecticut, USA
| | - Alvin H. Tran
- Department of Health Administration and Policy, University of New Haven, West Haven, Connecticut, USA
| | - Kimberly D. Hieftje
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Tyra M. Pendergrass Boomer
- play2PREVENT Lab/Yale Center for Health & Learning Games, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Carolyn K. Taylor
- play2PREVENT Lab/Yale Center for Health & Learning Games, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Lynn E. Fiellin
- play2PREVENT Lab/Yale Center for Health & Learning Games, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
- Yale Child Study Center, New Haven, Connecticut, USA
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25
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Moffett BD, Pozuelo JR, van Heerden A, O'Mahen HA, Craske M, Sodi T, Lund C, Orkin K, Kilford EJ, Blakemore SJ, Mahmud M, Musenge E, Davis M, Makhanya Z, Baloyi T, Mahlangu D, Chierchia G, Fielmann SL, Gómez-Olivé FX, Valodia I, Tollman S, Kahn K, Stein A. Digital delivery of behavioural activation therapy to overcome depression and facilitate social and economic transitions of adolescents in South Africa (the DoBAt study): protocol for a pilot randomised controlled trial. BMJ Open 2022; 12:e065977. [PMID: 36585150 PMCID: PMC9809228 DOI: 10.1136/bmjopen-2022-065977] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Scalable psychological treatments to address depression among adolescents are urgently needed. This is particularly relevant to low-income and middle-income countries where 90% of the world's adolescents live. While digital delivery of behavioural activation (BA) presents a promising solution, its feasibility, acceptability and effectiveness among adolescents in an African context remain to be shown. METHODS AND ANALYSIS This study is a two-arm single-blind individual-level randomised controlled pilot trial to assess the feasibility, acceptability and initial efficacy of digitally delivered BA therapy among adolescents with depression. The intervention has been coproduced with adolescents at the study site. The study is based in the rural northeast of South Africa in the Bushbuckridge subdistrict of Mpumalanga province. A total of 200 adolescents with symptoms of mild to moderately severe depression on the Patient Health Questionnaire Adolescent Version will be recruited (1:1 allocation ratio). The treatment group will receive BA therapy via a smartphone application (the Kuamsha app) supported by trained peer mentors. The control group will receive an enhanced standard of care. The feasibility and acceptability of the intervention will be evaluated using a mixed methods design, and signals of the initial efficacy of the intervention in reducing symptoms of depression will be determined on an intention-to-treat basis. Secondary objectives are to pilot a range of cognitive, mental health, risky behaviour and socioeconomic measures; and to collect descriptive data on the feasibility of trial procedures to inform the development of a further larger trial. ETHICS AND DISSEMINATION This study has been approved by the University of the Witwatersrand Human Research Ethics Committee (MED20-05-011) and the Oxford Tropical Research Ethics Committee (OxTREC 34-20). Study findings will be published in scientific open access peer-reviewed journals, presented at scientific conferences and communicated to participants, their caregivers, public sector officials and other relevant stakeholders. TRIAL REGISTRATION NUMBERS This trial was registered on 19 November 2020 with the South African National Clinical Trials Registry (DOH-27-112020-5741) and the Pan African Clinical Trials Registry (PACTR202206574814636).
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Affiliation(s)
- Bianca D Moffett
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Julia R Pozuelo
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Alastair van Heerden
- Center for Community Based Research, Human Sciences Research Council, Pietermaritzburg, South Africa
- MRC/Wits Developmental Pathways for Health Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Heather A O'Mahen
- Mood Disorders Centre, Department of Psychology, University of Exeter, Exeter, Devon, UK
| | - Michelle Craske
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles (UCLA), Los Angeles, California, USA
- Department of Psychology, University of California Los Angeles (UCLA), Los Angeles, California, USA
| | - Tholene Sodi
- Psychology, University of Limpopo, Sovenga, Limpopo, South Africa
| | - Crick Lund
- Alan J Flisher Centre for Public Mental Health, Department of Psychiatry and Mental Health, University of Cape Town, Rondebosch, South Africa
- Centre for Global Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kate Orkin
- Blavatnik School of Government, University of Oxford, Oxford, UK
| | - Emma J Kilford
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Sarah-Jayne Blakemore
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Mahreen Mahmud
- Department of Economics, University of Exeter, Exeter, UK
| | - Eustasius Musenge
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meghan Davis
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Zamakhanya Makhanya
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Tlangelani Baloyi
- Department of Psychology, University of Limpopo, Polokwane, South Africa
| | - Daniel Mahlangu
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | | | | - F Xavier Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Imraan Valodia
- Southern Centre for Inequality Studies, University of the Witwatersrand, Johannesburg, South Africa
| | - Stephen Tollman
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå Universitet, Umea, Sweden
| | - Kathleen Kahn
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Umeå Centre for Global Health Research, Division of Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå Universitet, Umea, Sweden
| | - Alan Stein
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Psychiatry, University of Oxford, Oxford, UK
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McCall T, Threats M, Pillai M, Lakdawala A, Bolton CS. Recommendations for design of a mobile application to support management of anxiety and depression among Black American women. Front Digit Health 2022; 4:1028408. [PMID: 36620185 PMCID: PMC9816326 DOI: 10.3389/fdgth.2022.1028408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
Black American women experience adverse health outcomes due to anxiety and depression. They face systemic barriers to accessing culturally appropriate mental health care leading to the underutilization of mental health services and resources. Mobile technology can be leveraged to increase access to culturally relevant resources, however, the specific needs and preferences that Black women feel are useful in an app to support management of anxiety and depression are rarely reflected in existing digital health tools. This study aims to assess what types of content, features, and important considerations should be included in the design of a mobile app tailored to support management of anxiety and depression among Black women. Focus groups were conducted with 20 women (mean age 36.6 years, SD 17.8 years), with 5 participants per group. Focus groups were led by a moderator, with notetaker present, using an interview guide to discuss topics, such as participants' attitudes and perceptions towards mental health and use of mental health services, and content, features, and concerns for design of a mobile app to support management of anxiety and depression. Descriptive qualitative content analysis was conducted. Recommendations for content were either informational (e.g., information to find a Black woman therapist) or inspirational (e.g., encouraging stories about overcoming adversity). Suggested features allow users to monitor their progress, practice healthy coping techniques, and connect with others. The importance of feeling "a sense of community" was emphasized. Transparency about who created and owns the app, and how users' data will be used and protected was recommended to establish trust. The findings from this study were consistent with previous literature which highlighted the need for educational, psychotherapy, and personal development components for mental health apps. There has been exponential growth in the digital mental health space due to the COVID-19 pandemic; however, a one-size-fits-all approach may lead to more options but continued disparity in receiving mental health care. Designing a mental health app for and with Black women may help to advance digital health equity by providing a tool that addresses their specific needs and preferences, and increase engagement.
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Affiliation(s)
- Terika McCall
- Division of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States,Center for Medical Informatics, Yale School of Medicine, New Haven, CT, United States,Center for Interdisciplinary Research on AIDS (CIRA), Yale School of Public Health, New Haven, CT, United States,Correspondence: Terika McCall
| | - Megan Threats
- Center for Interdisciplinary Research on AIDS (CIRA), Yale School of Public Health, New Haven, CT, United States,School of Information, University of Michigan, Ann Arbor, MI, United States
| | - Malvika Pillai
- Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States,Department of Medicine, Stanford University, Stanford, CA, United States
| | | | - Clinton S. Bolton
- Rex Bariatric Specialists, Rex/UNC Hospitals, Raleigh, NC, United States
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Mavragani A, Tan JHY, Kosasih FR, Sündermann O. Efficacy of the Mental Health App Intellect to Reduce Stress: Randomized Controlled Trial With a 1-Month Follow-up. JMIR Form Res 2022; 6:e40723. [PMID: 36515984 PMCID: PMC9798264 DOI: 10.2196/40723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/20/2022] [Accepted: 11/24/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Excessive stress is a major global health concern, particularly in young adults. Short skills-focused self-guided interventions (SGIs) on smartphones are a scalable way to improve stress-coping skills at the population level. OBJECTIVE In this randomized controlled trial, we aimed to examine the possible efficacy of a recently developed stress-coping SGI (Intellect) in improving psychological distress, relative to an active control group and 2 potential moderators of this predicted relationship (ie, psychological mindedness [PM] and coping self-efficacy [CSE]). METHODS University students (N=321) were randomly assigned to either an 8-day SGI on stress-coping or an active control group. Self-reported measures were obtained at baseline, after the intervention, and at the 1-month follow-up. The primary outcome was psychological stress (Psychological Stress Measure-9). Secondary outcomes were anxiety (Generalized Anxiety Disorder-7) and depressive symptoms (Patient Health Questionnaire-9). PM and CSE were assessed as potential moderators at baseline. RESULTS The final sample (n=264) included 188 (71.2%) female, 66 (25%) male, 7 (2.7%) nonbinary, and 3 (1.1%) others participants with a mean age of 22.5 (SD 5.41) years. The intervention group reported significantly lower perceived stress (partial eta-squared [ηp2]=0.018; P=.03) and anxiety (ηp2=0.019; P=.03) levels after intervention relative to the active control group. The effects on perceived stress levels remained statistically significant at the 1-month follow-up (ηp2=0.015; P=.05). Students with the lowest CSE and highest PM experienced the fastest decline in perceived stress levels (β=6.37, 95% Cl 2.98-9.75). Improvements in anxiety levels were not observed at 1-month follow-up. Similarly, no intervention effects were found for depression levels at postintervention and follow-up periods. CONCLUSIONS This study provides evidence that the Intellect stress-coping SGI is effective in reducing perceived stress and anxiety levels among university students. Mobile health apps are brief, scalable, and can make important contributions to public mental health. TRIAL REGISTRATION ClinicalTrials.gov NCT04978896; https://www.clinicaltrials.gov/ct2/show/NCT04978896.
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Affiliation(s)
| | - Jessalin Hui Yan Tan
- Department of Psychology, National University of Singapore, Singapore, Singapore
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Rosenfeld EA, Lyman C, Roberts JE. Development of an mHealth App-Based Intervention for Depressive Rumination (RuminAid): Mixed Methods Focus Group Evaluation. JMIR Form Res 2022; 6:e40045. [PMID: 36512400 PMCID: PMC9795400 DOI: 10.2196/40045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 10/05/2022] [Accepted: 10/16/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Depression is a common mental health condition that poses a significant public health burden. Effective treatments for depression exist; however, access to evidence-based care remains limited. Mobile health (mHealth) apps offer an avenue for improving access. However, few mHealth apps are informed by evidence-based treatments and even fewer are empirically evaluated before dissemination. To address this gap, we developed RuminAid, an mHealth app that uses evidence-based treatment components to reduce depression by targeting a single key depressogenic process-rumination. OBJECTIVE The primary objective of this study was to collect qualitative and quantitative feedback that could be used to improve the design of RuminAid before the software development phase. METHODS We reviewed empirically supported interventions for depression and rumination and used the key aspects of each to create a storyboard version of RuminAid. We distributed an audio-guided presentation of the RuminAid storyboard to 22 individuals for viewing and solicited user feedback on app content, design, and perceived functionality across 7 focus group sessions. RESULTS The consumer-rated quality of the storyboard version of RuminAid was in the acceptable to good range. Indeed, most participants reported that they thought RuminAid would be an engaging, functional, and informational app. Likewise, they endorsed overwhelming positive beliefs about the perceived impact of RuminAid; specifically, 96% (21/22) believed that RuminAid will help depressed ruminators with depression and rumination. Nevertheless, the results highlighted the need for improved app aesthetics (eg, a more appealing color scheme and modern design). CONCLUSIONS Focus group members reported that the quality of information was quite good and had the potential to help adults who struggle with depression and rumination but expressed concern that poor aesthetics would interfere with users' desire to continue using the app. To address these comments, we hired a graphic designer and redesigned each screen to improve visual appeal. We also removed time gating from the app based on participant feedback and findings from related research. These changes helped elevate RuminAid and informed its initial software build for a pilot trial that focused on evaluating its feasibility and acceptability.
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Affiliation(s)
- Eve A Rosenfeld
- Dissemination and Training Division, National Center for PTSD, VA Palo Alto Healthcare System, Menlo Park, CA, United States
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Cassondra Lyman
- Department of Psychology, University of South Florida, Tampa, FL, United States
| | - John E Roberts
- Department of Psychology, University at Buffalo, The State University of New York, Buffalo, NY, United States
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29
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Wells K, Thames AD, Young AS, Zhang L, Heilemann MV, Romero DF, Oliva A, Jones F, Tang L, Brymer M, Elliott T, Arevian A. Engagement, Use, and Impact of Digital Mental Health Resources for Diverse Populations in COVID-19: Community-Partnered Evaluation. JMIR Form Res 2022; 6:e42031. [PMID: 36346902 DOI: 10.2196/42031] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/04/2022] [Accepted: 11/04/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic increased disparities for communities burdened by structural barriers such as reduced affordable housing, with mental health consequences. Limited data are available on digital resources for public mental health prevention during the COVID-19 pandemic. OBJECTIVE The study aim was to evaluate engagement in and impact of free digital resources on the Together for Wellness/Juntos por Nuestro Bienestar (T4W/Juntos) website during COVID-19 in California. METHODS A pilot evaluation of T4W/Juntos was performed, with partner agencies inviting providers, clients, and partners to visit the website and complete surveys at baseline (September 20, 2021, to April 4, 2022) and at 4-6-week follow-up (October 22, 2021, to May 17, 2022). Website use was assessed by three engagement items (ease of use, satisfaction, relevance), comfort in use, and use of six resource categories. Primary outcomes at follow-up were depression and anxiety (scores≥3 on Patient Health Questionnaire-2 item [PHQ2] and Generalized Anxiety Disorder-2 item [GAD2] scales). Secondary outcomes were post-pre differences in PHQ2 and GAD2 scores, and use of behavioral health hotlines and services the month before follow-up. RESULTS Of 366 eligible participants, 315 (86.1%) completed baseline and 193 (61.3%) completed follow-up surveys. Of baseline participants, 72.6% identified as female, and 21.3% identified as lesbian, gay, bisexual, transgender, queer/questioning, and others (LGBTQ+). In terms of ethnicity, 44.0% identified as Hispanic, 17.8% as African American, 26.9% as non-Hispanic white, and 11.4% as other ethnicity. Overall, 32.7% had moderate anxiety or depression (GAD2/PHQ2≥3) at baseline. Predictors of baseline website engagement included being Hispanic versus other race/ethnicity (β=.27, 95% CI .10-.44; P=.002) and number of COVID-19-related behavior changes (β=.09, 95% CI .05-.13; P<.001). Predictors of comfort using the website were preferring English for website use (odds ratio [OR] 5.57, 95% CI 2.22-13.96; P<.001) and COVID-19-related behavior changes (OR 1.37, 95% CI 1.12-1.66; P=.002); receiving overnight behavioral health treatment in the prior 6 months (OR 0.15, 95% CI 0.03-0.69, P=.015) was associated with less comfort in website use. The main predictor of depression at follow-up (PHQ2≥3) was baseline depression (OR 6.24, 95% CI 2.77-14.09; P<.001). Engagement in T4W/Juntos was associated with lower likelihood of depression (OR 0.54, 95% CI 0.34-0.86; P=.01). Website use the month before follow-up was associated with a post-pre reduction in PHQ2 score (β=-.62, 95% CI -1.04 to -0.20; P=.004). The main predictor of GAD2≥3 at follow-up was baseline GAD2≥3 (OR 13.65, 95% CI 6.06-30.72; P<.001). Greater baseline website engagement predicted reduced hotline use (OR 0.36, 95% CI 0.18-0.71; P=.004). CONCLUSIONS Ethnicity/language and COVID-19-related behavior changes were associated with website engagement; engagement and use predicted reduced follow-up depression and behavioral hotline use. Findings are based on participants recommended by community agencies with moderate follow-up rates; however, significance was similar when weighting for nonresponse. This study may inform research and policy on digital mental health prevention resources.
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Affiliation(s)
- Kenneth Wells
- Research Center for Health Services and Society, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States
| | - April Denise Thames
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Alexander S Young
- Research Center for Health Services and Society, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Lily Zhang
- Research Center for Health Services and Society, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - MarySue V Heilemann
- School of Nursing, University of California, Los Angeles, Los Angeles, CA, United States
| | - Daniela Flores Romero
- Research Center for Health Services and Society, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Adrian Oliva
- Healthy African American Families II, Los Angeles, CA, United States
| | - Felica Jones
- Healthy African American Families II, Los Angeles, CA, United States
| | - Lingqi Tang
- Research Center for Health Services and Society, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Melissa Brymer
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Thomas Elliott
- National Clinician Scholars Program, Division of General Internal Medicine and Health Services Research, Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Armen Arevian
- Chorus Innovations, Inc, Long Beach, CA, United States
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van Orden ML, Kraaijeveld JC, Spijker AT, Silven AV, Bonten TN, Chavannes NH, van Dijke A. Evaluating the first results of a need-driven digital mental health intervention for depression and anxiety; an exploratory study. CLINICAL EHEALTH 2022. [DOI: 10.1016/j.ceh.2022.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Harvey PD, Depp CA, Rizzo AA, Strauss GP, Spelber D, Carpenter LL, Kalin NH, Krystal JH, McDonald WM, Nemeroff CB, Rodriguez CI, Widge AS, Torous J. Technology and Mental Health: State of the Art for Assessment and Treatment. Am J Psychiatry 2022; 179:897-914. [PMID: 36200275 DOI: 10.1176/appi.ajp.21121254] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Technology is ubiquitous in society and is now being extensively used in mental health applications. Both assessment and treatment strategies are being developed and deployed at a rapid pace. The authors review the current domains of technology utilization, describe standards for quality evaluation, and forecast future developments. This review examines technology-based assessments of cognition, emotion, functional capacity and everyday functioning, virtual reality approaches to assessment and treatment, ecological momentary assessment, passive measurement strategies including geolocation, movement, and physiological parameters, and technology-based cognitive and functional skills training. There are many technology-based approaches that are evidence based and are supported through the results of systematic reviews and meta-analyses. Other strategies are less well supported by high-quality evidence at present, but there are evaluation standards that are well articulated at this time. There are some clear challenges in selection of applications for specific conditions, but in several areas, including cognitive training, randomized clinical trials are available to support these interventions. Some of these technology-based interventions have been approved by the U.S. Food and Drug administration, which has clear standards for which types of applications, and which claims about them, need to be reviewed by the agency and which are exempt.
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Affiliation(s)
- Philip D Harvey
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Colin A Depp
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Albert A Rizzo
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Gregory P Strauss
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - David Spelber
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Linda L Carpenter
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Ned H Kalin
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - John H Krystal
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - William M McDonald
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Charles B Nemeroff
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Carolyn I Rodriguez
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - Alik S Widge
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
| | - John Torous
- Department of Psychiatry, University of Miami Miller School of Medicine, Miami, and Miami VA Medical Center (Harvey); Department of Psychiatry, UC San Diego Medical Center, La Jolla (Depp); USC Institute for Creative Technologies, University of Southern California, Los Angeles (Rizzo); Department of Psychology, University of Georgia, Athens (Strauss); Department of Psychiatry, Dell Medical Center, University of Texas at Austin (Spelber, Nemeroff); Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, R.I. (Carpenter); Department of Psychiatry, University of Wisconsin Medical School, Madison (Kalin); Department of Psychiatry, Yale University School of Medicine, New Haven, Conn. (Krystal); Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta (McDonald); Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford; Veterans Affairs Palo Alto Health Care System, Palo Alto (Rodriguez); Department of Psychiatry and Behavioral Sciences and Medical Discovery Team-Addictions, University of Minnesota, Minneapolis (Widge); Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston (Torous)
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Digital Health Interventions in Depression Care-A Survey on Acceptance from the Perspective of Patients, Their Relatives and Health Professionals. Healthcare (Basel) 2022; 10:healthcare10102019. [PMID: 36292466 PMCID: PMC9602748 DOI: 10.3390/healthcare10102019] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 09/27/2022] [Accepted: 10/11/2022] [Indexed: 11/04/2022] Open
Abstract
Digital health interventions may contribute to closing the treatment gap for depression by reaching large populations at relatively low costs. This article presents the results of a broad, multisided German survey in 2020 on the acceptance and use of digital health interventions in depression care from the perspective of patients, their relatives, and health professionals. A total of 97 patients and relatives and 229 health professionals participated. Survey participants reported openness towards the use of digital health interventions in depression care but little knowledge and experience in the field. Digital health interventions appear to be a promising opportunity for reducing depressive symptoms and shortening waiting time for depression treatment, especially in rural areas. Providing information and technical competencies may increase awareness and knowledge about digital health interventions and the benefits of depression care.
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Børtveit L, Dechsling A, Sütterlin S, Nordgreen T, Nordahl-Hansen A. Guided Internet-Delivered Treatment for Depression: Scoping Review. JMIR Ment Health 2022; 9:e37342. [PMID: 36194467 PMCID: PMC9579933 DOI: 10.2196/37342] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 07/01/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Studies on guided internet-delivered treatment have demonstrated promising results for patients with depressive disorder. OBJECTIVE The aim of this study was to provide an overview of this research area and identify potential gaps in the research. METHODS In this scoping review, web-based databases were used to identify research papers published between 2010 and 2022 where guided internet-delivered treatment was administered to participants with depressive disorders, a standardized rating scale of depressive symptoms was used as the primary outcome measure, and the treatment was compared with a control condition. RESULTS A total of 111 studies were included, and an overview of the studies was provided. Several gaps in the research were identified regarding the design of the studies, treatments delivered, participant representation, and treatment completion. CONCLUSIONS This review provides a comprehensive overview of the research area, and several research gaps were identified. The use of other designs and active control conditions is recommended. Future studies should provide access to treatment manuals, and more replications should be conducted. Researchers should aim to include underrepresented populations and provide reports of comorbidities. Definitions of adequate dosage, reports of completion rates, and reasons for treatment dropout are recommended for future studies.
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Affiliation(s)
- Line Børtveit
- Faculty of Health, Welfare and Organisation, Østfold University College, Halden, Norway.,Faculty of Health Sciences, Department of Behavioral Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Anders Dechsling
- Department of Education, ICT, and Learning, Østfold University College, Halden, Norway
| | - Stefan Sütterlin
- Faculty of Health, Welfare and Organisation, Østfold University College, Halden, Norway.,Faculty of Computer Science, Albstadt-Sigmaringen University, Sigmaringen, Germany
| | - Tine Nordgreen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Departement of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Anders Nordahl-Hansen
- Department of Education, ICT, and Learning, Østfold University College, Halden, Norway
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Conley CS, Raposa EB, Bartolotta K, Broner SE, Hareli M, Forbes N, Christensen KM, Assink M. The Impact of Mobile Technology-Delivered Interventions on Youth Well-being: Systematic Review and 3-Level Meta-analysis. JMIR Ment Health 2022; 9:e34254. [PMID: 35904845 PMCID: PMC9377434 DOI: 10.2196/34254] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 03/04/2022] [Accepted: 03/05/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Rates of mental health problems among youth are high and rising, whereas treatment seeking in this population remains low. Technology-delivered interventions (TDIs) appear to be promising avenues for broadening the reach of evidence-based interventions for youth well-being. However, to date, meta-analytic reviews on youth samples have primarily been limited to computer and internet interventions, whereas meta-analytic evidence on mobile TDIs (mTDIs), largely comprising mobile apps for smartphones and tablets, have primarily focused on adult samples. OBJECTIVE This study aimed to evaluate the effectiveness of mTDIs for a broad range of well-being outcomes in unselected, at-risk, and clinical samples of youth. METHODS The systematic review used 5 major search strategies to identify 80 studies evaluating 83 wellness- and mental health-focused mTDIs for 19,748 youth (mean age 2.93-26.25 years). We conducted a 3-level meta-analysis on the full sample and a subsample of the 38 highest-quality studies. RESULTS Analyses demonstrated significant benefits of mTDIs for youth both at posttest (g=0.27) and follow-up (range 1.21-43.14 weeks; g=0.26) for a variety of psychosocial outcomes, including general well-being and distress, symptoms of diverse psychological disorders, psychosocial strategies and skills, and health-related symptoms and behaviors. Effects were significantly moderated by the type of comparison group (strongest for no intervention, followed by inert placebo or information-only, and only marginal for clinical comparison) but only among the higher-quality studies. With respect to youth characteristics, neither gender nor pre-existing mental health risk level (not selected for risk, at-risk, or clinical) moderated effect sizes; however, effects increased with the age of youth in the higher-quality studies. In terms of intervention features, mTDIs in these research studies were effective regardless of whether they included various technological features (eg, tailoring, social elements, or gamification) or support features (eg, orientation, reminders, or coaching), although the use of mTDIs in a research context likely differs in important ways from their use when taken up through self-motivation, parent direction, peer suggestion, or clinician referral. Only mTDIs with a clear prescription for frequent use (ie, at least once per week) showed significant effects, although this effect was evident only in the higher-quality subsample. Moderation analyses did not detect statistically significant differences in effect sizes based on the prescribed duration of mTDI use (weeks or sessions), and reporting issues in primary studies limited the analysis of completed duration, thereby calling for improved methodology, assessment, and reporting to clarify true effects. CONCLUSIONS Overall, this study's findings demonstrate that youth can experience broad and durable benefits of mTDIs, delivered in a variety of ways, and suggest directions for future research and development of mTDIs for youth, particularly in more naturalistic and ecologically valid settings.
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Affiliation(s)
- Colleen S Conley
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | | | - Kate Bartolotta
- Department of Psychology, Fordham University, Bronx, NY, United States
| | - Sarah E Broner
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | - Maya Hareli
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | - Nicola Forbes
- Department of Psychology, Fordham University, Bronx, NY, United States
| | - Kirsten M Christensen
- Department of Psychology, University of Massachusetts Boston, Boston, MA, United States
| | - Mark Assink
- Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, Netherlands
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Benjet C, Kessler RC, Kazdin AE, Cuijpers P, Albor Y, Carrasco Tapias N, Contreras-Ibáñez CC, Durán González MS, Gildea SM, González N, Guerrero López JB, Luedtke A, Medina-Mora ME, Palacios J, Richards D, Salamanca-Sanabria A, Sampson NA. Study protocol for pragmatic trials of Internet-delivered guided and unguided cognitive behavior therapy for treating depression and anxiety in university students of two Latin American countries: the Yo Puedo Sentirme Bien study. Trials 2022; 23:450. [PMID: 35658942 PMCID: PMC9164185 DOI: 10.1186/s13063-022-06255-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 03/29/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly prevalent among university students and predict impaired college performance and later life role functioning. Yet most students do not receive treatment, especially in low-middle-income countries (LMICs). We aim to evaluate the effects of expanding treatment using scalable and inexpensive Internet-delivered transdiagnostic cognitive behavioral therapy (iCBT) among college students with symptoms of MDD and/or GAD in two LMICs in Latin America (Colombia and Mexico) and to investigate the feasibility of creating a precision treatment rule (PTR) to predict for whom iCBT is most effective. METHODS We will first carry out a multi-site randomized pragmatic clinical trial (N = 1500) of students seeking treatment at student mental health clinics in participating universities or responding to an email offering services. Students on wait lists for clinic services will be randomized to unguided iCBT (33%), guided iCBT (33%), and treatment as usual (TAU) (33%). iCBT will be provided immediately whereas TAU will be whenever a clinic appointment is available. Short-term aggregate effects will be assessed at 90 days and longer-term effects 12 months after randomization. We will use ensemble machine learning to predict heterogeneity of treatment effects of unguided versus guided iCBT versus TAU and develop a precision treatment rule (PTR) to optimize individual student outcome. We will then conduct a second and third trial with separate samples (n = 500 per arm), but with unequal allocation across two arms: 25% will be assigned to the treatment determined to yield optimal outcomes based on the PTR developed in the first trial (PTR for optimal short-term outcomes for Trial 2 and 12-month outcomes for Trial 3), whereas the remaining 75% will be assigned with equal allocation across all three treatment arms. DISCUSSION By collecting comprehensive baseline characteristics to evaluate heterogeneity of treatment effects, we will provide valuable and innovative information to optimize treatment effects and guide university mental health treatment planning. Such an effort could have enormous public-health implications for the region by increasing the reach of treatment, decreasing unmet need and clinic wait times, and serving as a model of evidence-based intervention planning and implementation. TRIAL STATUS IRB Approval of Protocol Version 1.0; June 3, 2020. Recruitment began on March 1, 2021. Recruitment is tentatively scheduled to be completed on May 30, 2024. TRIAL REGISTRATION ClinicalTrials.gov NCT04780542 . First submission date: February 28, 2021.
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Affiliation(s)
- Corina Benjet
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.
| | - Ronald C Kessler
- Department of Health care Policy, Harvard Medical School, Boston, MA, USA
| | | | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Yesica Albor
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico
| | | | | | | | - Sarah M Gildea
- Department of Health care Policy, Harvard Medical School, Boston, MA, USA
| | - Noé González
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz and School of Psychology, UNAM, Mexico City, Mexico
| | | | - Alex Luedtke
- Department of Statistics, University of Washington, Seattle, WA, USA
| | - Maria Elena Medina-Mora
- Center for Global Mental Health, National Institute of Psychiatry Ramón de la Fuente Muñiz and School of Psychology, UNAM, Mexico City, Mexico
| | - Jorge Palacios
- SilverCloud Health, Dublin, Ireland
- E-mental Health Group, School of Psychology, University of Dublin, Trinity College Dublin, Dublin, Ireland
| | - Derek Richards
- SilverCloud Health, Dublin, Ireland
- E-mental Health Group, School of Psychology, University of Dublin, Trinity College Dublin, Dublin, Ireland
| | - Alicia Salamanca-Sanabria
- Future Health Technologies Programme, Campus for Research Excellence and Technological Enterprise, Singapore-ETH Centre, Singapore, Singapore
| | - Nancy A Sampson
- Department of Health care Policy, Harvard Medical School, Boston, MA, USA
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Nguyen P, Heisey R, Quenneville C, Goulbourne E, Khan R, Rinaldo E, Chagigiorgis H, Shields R, Townsley C. An examination of depression, anxiety, and fear of recurrence among cancer survivors who participated in a virtual cognitive behavioral therapy (CBT)-based telephone coaching program. Support Care Cancer 2022; 30:7323-7332. [PMID: 35606479 DOI: 10.1007/s00520-022-07148-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 05/13/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Depression, anxiety, and fear of recurrence (FOR) are prevalent among cancer survivors, and it is recommended that they have access to supportive services and resources to address psychosocial needs during follow-up care. This study examined the impact of a virtual cognitive behavioral therapy (CBT)-based telephone coaching program (BounceBack®) on depression, anxiety, and FOR. METHOD Through the After Cancer Treatment Transition (ACTT) clinic at the Women's College Hospital (Toronto, Canada), eligible participants were identified, consented, and referred to the BounceBack® program. Program participation involved completion of self-selected online workbooks and support from trained telephone coaches. Measures of depression (PHQ-9), anxiety (GAD-7), and FOR (fear of cancer recurrence inventory, FCRI) were collected at pre-intervention (baseline) and post-intervention (6-month and 12-month time points). For each psychosocial measure, paired t-tests compared mean scores between study time points. Participant experiences and perceptions were collected through a survey. RESULTS Measures of depression and anxiety significantly improved among participants from pre-intervention to post-intervention. Scores for PHQ-9 and GAD-7 decreased from moderate to mild levels. Measure of FOR also significantly improved, while FCRI sub-scale scores significantly improved for 5 of the 7 factors that characterize FOR (triggers, severity, psychological distress, functional impairment, insight). Participants rated the intervention a mean score of 7 (out of 10), indicating a moderate level of satisfaction and usefulness. CONCLUSION This study suggested that a virtual CBT-based telephone coaching program can be an effective approach to managing depression, anxiety, and fear of recurrence in cancer survivors.
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Affiliation(s)
- Patricia Nguyen
- Peter Gilgan Centre for Women's Cancers, Women's College Hospital, ON, Toronto, Canada.
| | - Ruth Heisey
- Peter Gilgan Centre for Women's Cancers, Women's College Hospital, ON, Toronto, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Elaine Goulbourne
- Peter Gilgan Centre for Women's Cancers, Women's College Hospital, ON, Toronto, Canada
| | - Rumaisa Khan
- Peter Gilgan Centre for Women's Cancers, Women's College Hospital, ON, Toronto, Canada
| | - Emma Rinaldo
- Peter Gilgan Centre for Women's Cancers, Women's College Hospital, ON, Toronto, Canada
| | | | - Rebecca Shields
- Canadian Mental Health Association York Region and South Simcoe Branch, Newmarket, ON, Canada
| | - Carol Townsley
- After Cancer Treatment Transition Program, Women's College Hospital, Toronto, ON, Canada
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Philippe TJ, Sikder N, Jackson A, Koblanski ME, Liow E, Pilarinos A, Vasarhelyi K. Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review. JMIR Ment Health 2022; 9:e35159. [PMID: 35551058 PMCID: PMC9109782 DOI: 10.2196/35159] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/28/2022] [Accepted: 03/02/2022] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has shifted mental health care delivery to digital platforms, videoconferencing, and other mobile communications. However, existing reviews of digital health interventions are narrow in scope and focus on a limited number of mental health conditions. OBJECTIVE To address this gap, we conducted a comprehensive systematic meta-review of the literature to assess the state of digital health interventions for the treatment of mental health conditions. METHODS We searched MEDLINE for secondary literature published between 2010 and 2021 on the use, efficacy, and appropriateness of digital health interventions for the delivery of mental health care. RESULTS Of the 3022 records identified, 466 proceeded to full-text review and 304 met the criteria for inclusion in this study. A majority (52%) of research involved the treatment of substance use disorders, 29% focused on mood, anxiety, and traumatic stress disorders, and >5% for each remaining mental health conditions. Synchronous and asynchronous communication, computerized therapy, and cognitive training appear to be effective but require further examination in understudied mental health conditions. Similarly, virtual reality, mobile apps, social media platforms, and web-based forums are novel technologies that have the potential to improve mental health but require higher quality evidence. CONCLUSIONS Digital health interventions offer promise in the treatment of mental health conditions. In the context of the COVID-19 pandemic, digital health interventions provide a safer alternative to face-to-face treatment. However, further research on the applications of digital interventions in understudied mental health conditions is needed. Additionally, evidence is needed on the effectiveness and appropriateness of digital health tools for patients who are marginalized and may lack access to digital health interventions.
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Affiliation(s)
- Tristan J Philippe
- Department of Cellular & Physiological Sciences, The University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, The University of British Columbia, Vancouver, BC, Canada
| | | | - Anna Jackson
- School of Social Work, The University of British Columbia, Vancouver, BC, Canada
| | - Maya E Koblanski
- Department of Cellular & Physiological Sciences, The University of British Columbia, Vancouver, BC, Canada.,Department of Psychology, The University of British Columbia, Vancouver, BC, Canada
| | - Eric Liow
- Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Andreas Pilarinos
- Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.,School of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada
| | - Krisztina Vasarhelyi
- Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.,Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
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Rathnayaka P, Mills N, Burnett D, De Silva D, Alahakoon D, Gray R. A Mental Health Chatbot with Cognitive Skills for Personalised Behavioural Activation and Remote Health Monitoring. SENSORS (BASEL, SWITZERLAND) 2022; 22:s22103653. [PMID: 35632061 PMCID: PMC9148050 DOI: 10.3390/s22103653] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 05/06/2022] [Accepted: 05/09/2022] [Indexed: 05/08/2023]
Abstract
Mental health issues are at the forefront of healthcare challenges facing contemporary human society. These issues are most prevalent among working-age people, impacting negatively on the individual, his/her family, workplace, community, and the economy. Conventional mental healthcare services, although highly effective, cannot be scaled up to address the increasing demand from affected individuals, as evidenced in the first two years of the COVID-19 pandemic. Conversational agents, or chatbots, are a recent technological innovation that has been successfully adapted for mental healthcare as a scalable platform of cross-platform smartphone applications that provides first-level support for such individuals. Despite this disposition, mental health chatbots in the extant literature and practice are limited in terms of the therapy provided and the level of personalisation. For instance, most chatbots extend Cognitive Behavioural Therapy (CBT) into predefined conversational pathways that are generic and ineffective in recurrent use. In this paper, we postulate that Behavioural Activation (BA) therapy and Artificial Intelligence (AI) are more effectively materialised in a chatbot setting to provide recurrent emotional support, personalised assistance, and remote mental health monitoring. We present the design and development of our BA-based AI chatbot, followed by its participatory evaluation in a pilot study setting that confirmed its effectiveness in providing support for individuals with mental health issues.
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Jenness JL, Bhattacharya A, Kientz JA, Munson SA, Nagar RR. Lessons learned from designing an asynchronous remote community approach for behavioral activation intervention for teens. Behav Res Ther 2022; 151:104065. [PMID: 35248749 PMCID: PMC8983010 DOI: 10.1016/j.brat.2022.104065] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 10/28/2021] [Accepted: 02/12/2022] [Indexed: 12/25/2022]
Abstract
Adolescent depression is common; however, over 60% of depressed adolescents do not receive mental health care. Digitally-delivered evidence-based psychosocial interventions (EBPIs) may provide an opportunity to improve access and engagement in mental health care. We present a case study that reviews lessons learned from using the Discover - Design - Build - Test (DDBT) model to create, develop, and evaluate a high-fidelity prototype of an app to deliver an EBPI for depression, behavioral activation (BA), on an Asynchronous Remote Communities (ARC) platform (referred to as ActivaTeen). We review work at each stage of the DDBT framework, including initial formative work, iterative design and development work, and an initial feasibility study. We engaged teens with depression, mental health clinicians, and expert evaluators through the process. We found that the DDBT model supported the research team in understanding the requirements for our prototype system, ActivaTeen, and conceiving of and developing specific ideas for implementation. Our work contributes a case study of how the DDBT framework can be applied to adapting an EBPI to a new, scalable and digital format. We provide lessons learned from engaging teens and clinicians with an asynchronous approach to EBPIs and human centered design considerations for teen mental health.
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Affiliation(s)
- Jessica L Jenness
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
| | | | - Julie A Kientz
- Department of Human Centered Design and Engineering, University of Washington, Seattle, WA, USA
| | - Sean A Munson
- Department of Human Centered Design and Engineering, University of Washington, Seattle, WA, USA
| | - Ria R Nagar
- Department of Psychology, Georgia State University, Atlanta, GA, USA
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Sharma MS, De Maio M, Young K, Santopietro J. Transformation of Outpatient Psychiatry. Psychiatr Clin North Am 2022; 45:57-69. [PMID: 35219442 DOI: 10.1016/j.psc.2021.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Provision of psychiatric services during the pandemic required flexibility, innovation, and collaboration. Going forward, telepsychiatry will offer accessible and effective treatment options. Increased collaboration with multidisciplinary providers, a critical component of effective treatment during the pandemic, should augment future treatment relationships. Large practice organizations continue to develop and disseminate best practices, and providers and institutions must continuously adapt and improve services. An increased focus on the utility of novel and innovative technology's role in psychiatry has emerged during the pandemic, and although openness to innovation will be critical, as will adherence to use of scientifically validated tools and procedures.
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Affiliation(s)
- Manu S Sharma
- Yale School of Medicine, 1450 Chapel Street, New Haven, CT-06511, USA.
| | - Mara De Maio
- Child and Adolescent Services, Institute of Living, 200 Retreat Avenue, Terry Building 2nd floor, Hartford, CT 06106, USA
| | - Kevin Young
- Psychology Training, Institute of Living, 200 Retreat Avenue, Terry Building 2nd floor, Hartford, CT 06106, USA; Psychiatry, University of Connecticut School of Medicine
| | - John Santopietro
- Yale School of Medicine, 1450 Chapel Street, New Haven, CT-06511, USA; University of Connecticut School of Medicine, Farmington, CT 06032, USA; Hartford HealthCare; Behavioral Health Network, Hartford, CT, USA
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Povey J, Sweet M, Nagel T, Lowell A, Shand F, Vigona J, Dingwall KM. Determining Priorities in the Aboriginal and Islander Mental Health Initiative for Youth App Second Phase Participatory Design Project: Qualitative Study and Narrative Literature Review. JMIR Form Res 2022; 6:e28342. [PMID: 35179498 PMCID: PMC8900920 DOI: 10.2196/28342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 10/14/2021] [Accepted: 12/15/2021] [Indexed: 01/22/2023] Open
Abstract
Background Digital mental health tools can promote access to culturally safe early intervention mental health services for Aboriginal and Torres Strait Islander young people. Participatory design methodology facilitates user engagement in the co-design of digital resources. However, several challenges have been identified that limit the methodological rigor of this approach. Objective This paper aims to present an in-depth account of the second phase of participatory design in the development of the Aboriginal and Islander Mental Health Initiative for Youth (AIMhi-Y) app. Methods A first idea storyboard, generated from a formative phase of the AIMhi-Y project, was refined through a series of youth co-design workshops and meetings. A narrative review of the literature, 6 service provider interviews, and engagement with an expert reference group also informed the design process. Generative design activities, storyboarding, discussions, and voting strategies were used. Results The participatory design process identified the app features preferred by young people and service providers and assessed their alignment with current recommendations from the scientific literature. Findings from the co-design process are presented across 9 app characteristic domains. Integration of findings into app design proved complex. Although most preferred features identified by young people were included to some degree, other inclusions were restricted by budget, time, and the need to integrate best practice recommendations. A process of prioritization was required. Conclusions Participatory design is often cited in the development of digital mental health resources; however, methods are diverse and often lack detailed descriptions. This study reports the outcomes and strategies used to determine priorities in the second phase of the development of the AIMhi-Y app. We provide an example and the key learnings to inform others seeking to use participatory design with a similar cohort.
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Affiliation(s)
- Josie Povey
- Menzies School of Health Research, Charles Darwin University, Casuarina, Australia
| | - Michelle Sweet
- Menzies School of Health Research, Charles Darwin University, Adelaide, Australia
| | - Tricia Nagel
- Menzies School of Health Research, Charles Darwin University, Casuarina, Australia
| | - Anne Lowell
- Northern Institute, Charles Darwin University, Darwin, Australia
| | - Fiona Shand
- Black Dog Institute, University of New South Wales, Sydney, Australia
| | - Jahdai Vigona
- Menzies School of Health Research, Charles Darwin University, Casuarina, Australia
| | - Kylie M Dingwall
- Menzies School of Health Research, Charles Darwin University, Alice Springs, Australia
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Lattie EG, Stiles-Shields C, Graham AK. An overview of and recommendations for more accessible digital mental health services. NATURE REVIEWS PSYCHOLOGY 2022; 1:87-100. [PMID: 38515434 PMCID: PMC10956902 DOI: 10.1038/s44159-021-00003-1] [Citation(s) in RCA: 81] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/27/2021] [Indexed: 03/23/2024]
Abstract
Mental health concerns are common, and various evidence-based interventions for mental health conditions have been developed. However, many people have difficulty accessing appropriate mental health care and this has been exacerbated by the COVID-19 pandemic. Digital mental health services, such as those delivered by mobile phone or web-based platforms, offer the possibility of expanding the reach and accessibility of mental health care. To achieve this goal, digital mental health interventions and plans for their implementation must be designed with the end users in mind. In this Review, we describe the evidence base for digital mental health interventions across various diagnoses and treatment targets. Then, we explain the different formats for digital mental health intervention delivery, and offer considerations for their use across key age groups. We discuss the role that the COVID-19 pandemic has played in emphasizing the value of these interventions, and offer considerations for ensuring equity in access to digital mental health interventions among diverse populations. As healthcare providers continue to embrace the role that technology can play in broadening access to care, the design and implementation of digital mental healthcare solutions must be carefully considered to maximize their effectiveness and accessibility.
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Affiliation(s)
- Emily G. Lattie
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
| | - Colleen Stiles-Shields
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Andrea K. Graham
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
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Teachman BA, Silverman AL, Werntz A. Digital Mental Health Services: Moving From Promise to Results. COGNITIVE AND BEHAVIORAL PRACTICE 2022; 29:97-104. [PMID: 35599835 PMCID: PMC9122336 DOI: 10.1016/j.cbpra.2021.06.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The papers in this special issue make a compelling case for the value of digital mental health services (DMHS; including technology-based interventions, assessments, and prevention programs) to help address some of the currently unmet needs in mental health care. At the same time, the papers highlight the work that needs to be accomplished for DMHS to fulfill their promise. We review the papers' contributions in terms of (a) the imperative to increase access to evidence-informed, high-quality care, especially for underserved populations, both in the United States and globally; (b) ways to use DMHS to improve the ways that clinical care is provided to make treatment provision more effective and efficient; and (c) the current state of the research on DMHS for emotional disorders. We then consider lessons learned and recommendations to move the field forward, such as increasing (and making transparent) the research base on DMHS, adopting regulatory standards for DMHS, attending carefully to training issues for DMHS and best practices for dissemination and implementation, designing specifically for digital platforms, and being intentional about efforts to reduce disparities regarding who benefits from DMHS.
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Schleider JL, Mullarkey MC, Fox KR, Dobias ML, Shroff A, Hart EA, Roulston CA. A randomized trial of online single-session interventions for adolescent depression during COVID-19. Nat Hum Behav 2022; 6:258-268. [PMID: 34887544 PMCID: PMC8881339 DOI: 10.1038/s41562-021-01235-0] [Citation(s) in RCA: 76] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 10/18/2021] [Indexed: 01/10/2023]
Abstract
The COVID-19 pandemic has potentially increased the risk for adolescent depression. Even pre-pandemic, <50% of youth with depression accessed care, highlighting needs for accessible interventions. Accordingly, this randomized controlled trial (ClinicalTrials.gov: NCT04634903 ) tested online single-session interventions (SSIs) during COVID-19 in adolescents with elevated depression symptoms (N = 2,452, ages 13-16). Adolescents from all 50 US states, recruited via social media, were randomized to one of three SSIs: a behavioural activation SSI, an SSI teaching that traits are malleable and a supportive control. We tested each SSI's effects on post-intervention outcomes (hopelessness and agency) and three-month outcomes (depression, hopelessness, agency, generalized anxiety, COVID-19-related trauma and restrictive eating). Compared with the control, both active SSIs reduced three-month depressive symptoms (Cohen's d = 0.18), decreased post-intervention and three-month hopelessness (d = 0.16-0.28), increased post-intervention agency (d = 0.15-0.31) and reduced three-month restrictive eating (d = 0.12-17). Several differences between active SSIs emerged. These results confirm the utility of free-of-charge, online SSIs for high-symptom adolescents, even in the high-stress COVID-19 context.
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Affiliation(s)
| | | | - Kathryn R Fox
- Department of Psychology, University of Denver, Denver, CO, USA
| | - Mallory L Dobias
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Akash Shroff
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Erica A Hart
- Department of Psychology, University of Denver, Denver, CO, USA
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Goodsmith N, Moore EM, Siddiq H, Barceló SE, Ulloa-Flores E, Loera G, Jones F, Aguilar-Gaxiola S, Wells K, Arevian A. Community-Partnered Development of a Digital Mental Health Resource Website to Support Diverse Communities During the COVID-19 Pandemic. J Health Care Poor Underserved 2022; 33:506-516. [PMID: 35153238 PMCID: PMC10036170 DOI: 10.1353/hpu.2022.0039] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
A state-academic-community partnership formed in response to the mental health needs fueled by the COVID-19 pandemic and the disproportionate effects on marginalized communities. Taking a community-partnered approach and using a health equity lens, the partnership developed a website to guide users through digital mental health resources, prioritizing accessibility, engagement, and community needs.
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Digitized thought records: a practitioner-focused review of cognitive restructuring apps. COGNITIVE BEHAVIOUR THERAPIST 2022. [DOI: 10.1017/s1754470x22000320] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
Mental health (MH) apps can be used as adjunctive tools in traditional face-to-face therapy to help implement components of evidence-based treatments. However, practitioners interested in using MH apps face a variety of challenges, including knowing which apps would be appropriate to use. Although some resources are available to help practitioners identify apps, granular analyses of how faithfully specific clinical skills are represented in apps are lacking. This study aimed to conduct a review and analysis of MH apps containing a core component of cognitive behaviour therapy (CBT) – cognitive restructuring (CR). A keyword search for apps providing CR functionality on the Apple App and Android Google Play stores yielded 246 apps after removal of duplicates, which was further reduced to 15 apps following verification of a CR component and application of other inclusionary/exclusionary criteria. Apps were coded based on their inclusion of core elements of CR, and general app features including app content, interoperability/data sharing, professional involvement, ethics, and data safeguards. They were also rated on user experience as assessed by the Mobile App Rating Scale (MARS). Whereas a majority of the CR apps include most core CR elements, they vary considerably with respect to more granular sub-elements of CR (e.g. rating the intensity of emotions), other general app features, and user experience (average MARS = 3.53, range from 2.30 to 4.58). Specific apps that fared best with respect to CR fidelity and user experience dimensions are highlighted, and implications of findings for clinicians, researchers and app developers are discussed.
Key learning aims
(1)
To identify no-cost mobile health apps that practitioners can adopt to facilitate cognitive restructuring.
(2)
To review how well the core elements of cognitive restructuring are represented in these apps.
(3)
To characterize these apps with respect to their user experience and additional features.
(4)
To provide examples of high-quality apps that represent cognitive restructuring with fidelity and facilitate its clinical implementation.
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Patterson VC, Rossi MA, Pencer A, Wozney L. Tranquility: An adaptation co-design and fidelity evaluation of an internet-based cognitive-behavioural therapy (iCBT) program for anxiety and depression. JMIR Form Res 2021; 6:e33374. [PMID: 34910660 PMCID: PMC8851319 DOI: 10.2196/33374] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 11/29/2021] [Accepted: 12/05/2021] [Indexed: 01/26/2023] Open
Abstract
Background Internet-based cognitive behavioral therapy (iCBT) is a necessary step toward increasing the accessibility of mental health services. Yet, few iCBT programs have been evaluated for their fidelity to the therapeutic principles of cognitive behavioral therapy (CBT) or usability standards. In addition, many existing iCBT programs do not include treatments targeting both anxiety and depression, which are commonly co-occurring conditions. Objective This study aims to evaluate the usability of Tranquility—a novel iCBT program for anxiety—and its fidelity to CBT principles. This study also aims to engage in a co-design process to adapt Tranquility to include treatment elements for depression. Methods CBT experts (n=6) and mental health–informed peers (n=6) reviewed the iCBT program Tranquility. CBT experts assessed Tranquility’s fidelity to CBT principles and were asked to identify necessary interventions for depression by using 2 simulated client case examples. Mental health–informed peers engaged in 2 co-design focus groups to discuss adaptations to the existing anxiety program and the integration of interventions for depression. Both groups completed web-based surveys assessing the usability of Tranquility and the likelihood that they would recommend the program. Results The CBT experts’ mean rating of Tranquility’s fidelity to CBT principles was 91%, indicating a high fidelity to CBT. Further, 5 out of 6 CBT experts and all mental health–informed peers (all participants: 11/12, 88%) rated Tranquility as satisfactory, indicating that they may recommend Tranquility to others, and they rated its usability highly (mean 76.56, SD 14.07). Mental health–informed peers provided suggestions on how to leverage engagement with Tranquility (eg, adding incentives and notification control). Conclusions This preliminary study demonstrated the strong fidelity of Tranquility to CBT and usability standards. The results highlight the importance of involving stakeholders in the co-design process and future opportunities to increase engagement.
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Affiliation(s)
- Victoria C Patterson
- Dalhousie University, P.O. Box 15000Department of Psychology & Neuroscience, Dalhousie University, Halifax, CA
| | - Meghan A Rossi
- Dalhousie University, P.O. Box 15000Department of Psychology & Neuroscience, Dalhousie University, Halifax, CA
| | - Alissa Pencer
- Dalhousie University, P.O. Box 15000Department of Psychology & Neuroscience, Dalhousie University, Halifax, CA
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Abstract
BACKGROUND More than forty million people suffer from depression in India. A lack of awareness, stigma related to mental health issues, and limited accessibility to treatment services magnify the profound personal and societal impact of depression. Given the rise of smartphones in India, mobile technology can help alleviate some of these depression-related challenges. AIMS AND METHOD The aim of this paper is to investigate the essential features of an India targeted depression smartphone app. We conducted an online survey to profile the needs of individuals with depression in India, which varied based on variables such as socioeconomic background, age, level of awareness toward depression, and the extent of exposure to mental health stigma. We also conducted a systematic evaluation of depression apps currently available to Indian users to investigate the user needs that these apps met and the needs that they failed to meet. Based on our findings, we made a set of recommendations related to the essential features of a future app targeted at managing depression in India. RESULTS Presently available depression apps fall short in providing some significant features such as local language options, content in audio and video formats, and user location matched resources. These gaps make these apps less than fully relevant to a diverse set of Indian users. CONCLUSIONS It is essential to provide depression-related information in a targeted manner depending upon each user's particular needs and context. Potential customizations, such as offering content in local languages and flexible formats (e.g. audio, video, and text); and providing user-relevant diagnostic tools and location matched treatment resources can help improve the suitability of the app for diverse users.
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Affiliation(s)
- Swati Ramnath
- Department of Psychology, San Francisco State University, CA, USA
| | - Gaurav Suri
- Department of Psychology, San Francisco State University, CA, USA
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49
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Evaluation of Android and Apple Store Depression Applications Based on Mobile Application Rating Scale. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182312505. [PMID: 34886232 PMCID: PMC8656484 DOI: 10.3390/ijerph182312505] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/22/2021] [Accepted: 11/24/2021] [Indexed: 11/26/2022]
Abstract
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.
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50
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Balaskas A, Schueller SM, Cox AL, Doherty G. The Functionality of Mobile Apps for Anxiety: Systematic Search and Analysis of Engagement and Tailoring Features. JMIR Mhealth Uhealth 2021; 9:e26712. [PMID: 34612833 PMCID: PMC8529472 DOI: 10.2196/26712] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 04/02/2021] [Accepted: 07/15/2021] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND A range of mobile apps for anxiety have been developed in response to the high prevalence of anxiety disorders. Although the number of publicly available apps for anxiety is increasing, attrition rates among mobile apps are high. These apps must be engaging and relevant to end users to be effective; thus, engagement features and the ability to tailor delivery to the needs of individual users are key. However, our understanding of the functionality of these apps concerning engagement and tailoring features is limited. OBJECTIVE The aim of this study is to review how cognitive behavioral elements are delivered by anxiety apps and their functionalities to support user engagement and tailoring based on user needs. METHODS A systematic search for anxiety apps described as being based on cognitive behavioral therapy (CBT) was conducted on Android and iPhone marketplaces. Apps were included if they mentioned the use of CBT for anxiety-related disorders. We identified 597 apps, of which 36 met the inclusion criteria and were reviewed through direct use. RESULTS Cognitive behavioral apps for anxiety incorporate a variety of functionalities, offer several engagement features, and integrate low-intensity CBT exercises. However, the provision of features to support engagement is highly uneven, and support is provided only for low-intensity CBT treatment. Cognitive behavioral elements combine various modalities to deliver intervention content and support the interactive delivery of these elements. Options for personalization are limited and restricted to goal selection upon beginning use or based on self-monitoring entries. Apps do not appear to provide individualized content to users based on their input. CONCLUSIONS Engagement and tailoring features can be significantly expanded in existing apps, which make limited use of social features and clinical support and do not use sophisticated features such as personalization based on sensor data. To guide the evolution of these interventions, further research is needed to explore the effectiveness of different types of engagement features and approaches to tailoring therapeutic content.
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Affiliation(s)
- Andreas Balaskas
- School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland
| | - Stephen M Schueller
- Department of Psychological Science, University of California, Irvine, Irvine, CA, United States.,Department of Informatics, University of California, Irvine, Irvine, CA, United States
| | - Anna L Cox
- UCL Interaction Centre, University College London, London, United Kingdom
| | - Gavin Doherty
- School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland
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