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Zhou M, Xu Y, Zhang L, Yang Y, Zheng J. Effectiveness of smartphone-assisted cardiac rehabilitation: a systematic review and meta-analysis. Disabil Rehabil 2024; 46:3256-3265. [PMID: 37559408 DOI: 10.1080/09638288.2023.2244883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 07/03/2023] [Accepted: 07/31/2023] [Indexed: 08/11/2023]
Abstract
PURPOSE To explore the effectiveness of smartphone-assisted home cardiac rehabilitation and whether it can be used as a remote detection method to promote home cardiac rehabilitation. METHODS Four databases were searched to collect randomized controlled trials (RCTs) about smartphone-assisted cardiac rehabilitation. The Cochrane risk-of-bias tool was used to assess the methodological quality of the included studies. Two independent investigators performed the literature screening, information extraction, and risk of bias assessment. Any disagreements were resolved by a third investigator. Meta-analysis and systematic review were performed. Sensitivity analysis and subgroup analysis were carried out to explore the sources of heterogeneity. RESULTS A total of 14 RCTs involving 1962 patients were included. Meta-analysis showed that compared with conventional cardiac rehabilitation/usual care, smartphone-assisted cardiac rehabilitation significantly improved VO2peak in patients with cardiovascular disease (WMD= 1.32, 95%CI:0.82 to 1.81, p > 0.05) and enhanced their treatment compliance (RR = 1.62, 95%CI:1.21 to 2.17, p > 0.05). There were no significant differences in six-minute walk distance (WMD = 12.88, 95%CI:-0.82 to 26.57, p > 0.05), body mass index (BMI) (WMD=-0.14, 95%CI:-0.34 to 0.06, p > 0.05), life quality, psychological status, and other cardiovascular risks. CONCLUSION Smartphone-assisted cardiac rehabilitation showed significant improvement in exercise capacity and treatment compliance in patients with cardiac rehabilitation but did not improve BMI, quality of life, psychological status, or reduce other cardiovascular risks. Smartphone-based cardiac rehabilitation is increasingly used as a remote detection method for cardiac rehabilitation in middle-income countries, which provides new insights into home cardiac rehabilitation.
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Affiliation(s)
- Meimei Zhou
- Department of Rehabilitation, Huadong Hospital, Fudan University, Shanghai, P.R. China
| | - Youkang Xu
- Department of Osteoarthropathy Rehabilitation, The Second Rehabilitation Hospital of Shanghai, P.R. China
| | - Lili Zhang
- Department of Rehabilitation, Huadong Hospital, Fudan University, Shanghai, P.R. China
| | - Yushan Yang
- Department of Rehabilitation, Huadong Hospital, Fudan University, Shanghai, P.R. China
| | - Jiejiao Zheng
- Department of Rehabilitation, Huadong Hospital, Fudan University, Shanghai, P.R. China
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Kaelber K, Seifert LS, Nguyen ATH, McWhirter K. Anxiety on the internet: Describing person, provider, and organization online posts. THE JOURNAL OF GENERAL PSYCHOLOGY 2024:1-26. [PMID: 38801396 DOI: 10.1080/00221309.2024.2349765] [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: 07/17/2023] [Accepted: 02/27/2024] [Indexed: 05/29/2024]
Abstract
Anxiety is a pervasive phenomenon in contemporary society. With increased internet use in recent years, more people in the general population are seeking and providing help and participating in community online. The goal of our study was to evaluate the content of internet narratives among those who post about anxiety and determine what stakeholder groups are saying online. We used the bifurcated method; it is a multi-method (qualitative) approach with inductive, thematic analyses, and with quantification of content-related words via a computer program that crawls websites and counts the occurrences of specified terms (for cross-checking purposes). Themes of posts and webpages about anxiety were: using/reporting treatment strategies (83.3% saturation), providing help (77.8% saturation), telling personal stories (72.2% saturation), seeking help (61.1% saturation), and illustrating interpersonal impact (50% saturation). We argue that anxiety stakeholders may take part in health co-inquiry online (i.e., cooperating with others) in many of the same ways that they might collaborate in person. We recommend that clinicians query their clients about use of the internet in ways related to their anxiety (e.g., seeking information/treatment strategies, offering help to others, telling their personal stories, etc.) so that they might help them process what they experience online.
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Oewel B, Areán PA, Agapie E. Approaches to Tailoring Between-Session Mental Health Therapy Activities. PROCEEDINGS OF THE SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS. CHI CONFERENCE 2024; 2024:696. [PMID: 38919830 PMCID: PMC11197942 DOI: 10.1145/3613904.3642856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
Mental health activities conducted by patients between therapy sessions (or "therapy homework") are a component of addressing anxiety and depression. However, to be effective, therapy homework must be tailored to the client's needs to address the numerous barriers they encounter in everyday life. In this study, we analyze how therapists and clients tailor therapy homework to their client's needs. We interviewed 13 therapists and 14 clients about their experiences tailoring and engaging in therapy homework. We identify criteria for tailoring homework, such as client skills, discomfort, and external barriers. We present how homework gets adapted, such as through changes in difficulty or by identifying alternatives. We discuss how technologies can better use client information for personalizing mental health interventions, such as adapting to client barriers, adjusting homework to these barriers, and creating a safer environment to support discomfort.
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Affiliation(s)
- Bruna Oewel
- University of California, Irvine Irvine, USA
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4
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Domingo-Espiñeira J, Varaona A, Montero M, Lara-Abelenda FJ, Gutierrez-Rojas L, Fernández del Campo EA, Rodriguez-Jimenez R, Pinto da Costa M, Ortega MA, Alvarez-Mon M, Alvarez-Mon MA. Public perception of psychiatry, psychology and mental health professionals: a 15-year analysis. Front Psychiatry 2024; 15:1369579. [PMID: 38745783 PMCID: PMC11092373 DOI: 10.3389/fpsyt.2024.1369579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 03/26/2024] [Indexed: 05/16/2024] Open
Abstract
Background X (previously known as "Twitter") serves as a platform for open discussions on mental health, providing an avenue for scrutinizing public perspectives regarding psychiatry, psychology and their associated professionals. Objective To analyze the conversations happening on X about psychiatrists, psychologists, and their respective disciplines to understand how the public perception of these professionals and specialties has evolved over the last 15 years. Methods We collected and analyzed all tweets posted in English or Spanish between 2007 and 2023 referring to psychiatry, psychology, neurology, mental health, psychiatrist, psychologist, or neurologist using advance topic modelling and sentiment analysis. Results A total of 403,767 tweets were analyzed, 155,217 (38%) were in English and 248,550 (62%) in Spanish. Tweets about mental health and mental health professionals and disciplines showed a consistent volume between 2011 and 2016, followed by a gradual increase from 2016 through 2022. The proportion of tweets discussing mental health doubled from 2016 to 2022, increasing from 20% to 67% in Spanish and from 15% to 45% in English. Several differences were observed on the volume of tweets overtime depending on the language they were written. Users associated each term with varied topics, such as seeking for help and recommendation for therapy, self-help resources, medication and side effects, suicide prevention, mental health in times of crisis, among others. The number of tweets mentioning these topics increased by 5-10% from 2016 to 2022, indicating a growing interest among the population. Emotional analysis showed most of the topics were associated with fear and anger. Conclusion The increasing trend in discussions about mental health and the related professionals and disciplines over time may signify an elevated collective awareness of mental health. Gaining insights into the topics around these matters and user's corresponding emotions towards them presents an opportunity to combat the stigma surrounding mental health more effectively.
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Affiliation(s)
| | - Andrea Varaona
- Department of Medicine and Medical Specialities, University of Alcala, Alcala de Henares, Spain
| | - María Montero
- Department of Medicine and Medical Specialities, University of Alcala, Alcala de Henares, Spain
| | - Francisco J. Lara-Abelenda
- Departamento Teoria de la Señal y Comunicaciones y Sistemas Telemáticos y Computación, Escuela Tecnica Superior de Ingenieria de Telecomunicación, Universidad Rey Juan Carlos, Fuenlabrada, Spain
| | - Luis Gutierrez-Rojas
- Psychiatry Service, Hospital Universitario San Cecilio, Granada, Spain
- Department of Psychiatry and CTS-549 Research Group, Institute of Neurosciences, University of Granada, Granada, Spain
| | | | - Roberto Rodriguez-Jimenez
- CIBERSAM-ISCIII (Biomedical Research Networking Centre in Mental Health), Madrid, Spain
- Department of Psychiatry, Instituto de Investigacion Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- Department of Legal Medicine and Psychiatry, Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Mariana Pinto da Costa
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Miguel A. Ortega
- Department of Medicine and Medical Specialities, University of Alcala, Alcala de Henares, Spain
- Ramón y Cajal Institute of Sanitary Research, Madrid, Spain
| | - M. Alvarez-Mon
- Department of Medicine and Medical Specialities, University of Alcala, Alcala de Henares, Spain
- Ramón y Cajal Institute of Sanitary Research, Madrid, Spain
- Immune System Diseases-Rheumatology and Internal Medicine Service, University Hospital Príncipe de Asturias, Centro de Investigación Biomédica en Red, Enfermedades Hepáticas y Digestivas (CIBEREHD), Alcalá de Henares, Spain
| | - Miguel Angel Alvarez-Mon
- Department of Medicine and Medical Specialities, University of Alcala, Alcala de Henares, Spain
- CIBERSAM-ISCIII (Biomedical Research Networking Centre in Mental Health), Madrid, Spain
- Ramón y Cajal Institute of Sanitary Research, Madrid, Spain
- Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain
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5
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Atefi GL, van Knippenberg RJM, Bartels SL, Losada-Baltar A, Márquez-González M, Verhey FRJ, de Vugt ME. A Web-Based Intervention Based on Acceptance and Commitment Therapy for Family Caregivers of People With Dementia: Mixed Methods Feasibility Study. JMIR Aging 2024; 7:e53489. [PMID: 38574360 PMCID: PMC11027053 DOI: 10.2196/53489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 11/24/2023] [Accepted: 01/12/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Acceptance and commitment therapy (ACT), as an empirically based third-wave cognitive behavioral therapy, has shown promise in enhancing well-being and functioning across diverse populations. However, in the context of caregiving, the effect size of available ACT interventions remains at best moderate, sometimes accompanied by high dropout rates, highlighting the need for more effective and feasible intervention designs. OBJECTIVE The objective of our study was to evaluate the feasibility and acceptability of a fully online ACT program designed for family caregivers of people with dementia. This study aimed to boost psychological flexibility and support caregivers, enabling them to realize and prioritize their own life values alongside their caregiving responsibilities. METHODS A mixed methods feasibility study using an uncontrolled pretest-posttest design was conducted. This intervention included a 9-week web-based self-help program based on ACT incorporating collaborative goal setting and weekly web-based motivational coaching for family caregivers of people with dementia. This study involved 30 informal caregivers recruited through memory clinics and social media platforms in the Netherlands and received approval from the Medical Ethics Committee of the Maastricht University Medical Center+ (NL77389.068.21/metc21-029). RESULTS A total of 24 caregivers completed the postintervention assessment, indicating a high adherence rate (24/29, 83%). Caregivers reported positive feedback regarding collaborative goal setting, but some found challenges in implementing new skills due to their own habitual responses or the unpredictable context of dementia caregiving. Personalizing the intervention based on individual value preferences was highlighted as beneficial. CONCLUSIONS Compared to other web-based self-help ACT interventions for family caregivers, this intervention showed a high adherence and sufficient level of feasibility, which underscores the use of personalization in delivering web-based interventions. Moreover, the potential of this ACT-based intervention for family caregivers of people with dementia was demonstrated, suggesting that further research and a larger-scale controlled trial are warranted to validate its effectiveness. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1136/bmjopen-2022-070499.
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Affiliation(s)
- Golnaz L Atefi
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Maastricht University, Maastricht, Netherlands
| | - Rosalia J M van Knippenberg
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Maastricht University, Maastricht, Netherlands
| | - Sara Laureen Bartels
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Maastricht University, Maastricht, Netherlands
| | - Andrés Losada-Baltar
- Departamento de Psicología, Facultad de Ciencias de la Salud, Universidad Rey Juan Carlos, Madrid, Spain
| | - María Márquez-González
- Biological and Health Psychology Department, School of Psychology, Universidad Autónoma de Madrid, Madrid, Spain
| | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Maastricht University, Maastricht, Netherlands
| | - Marjolein E de Vugt
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Maastricht University, Maastricht, Netherlands
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Walsh EA, Popok PJ, Ream M, Bainter S, Perdomo D, Taub C, Saez-Clarke E, Kesmodel S, Blomberg BB, Antoni MH. Predictors of initial engagement with an asynchronous cognitive behavioral stress management website among older women with nonmetastatic breast cancer. Support Care Cancer 2023; 31:466. [PMID: 37452882 PMCID: PMC11051687 DOI: 10.1007/s00520-023-07939-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023]
Abstract
PURPOSE Digital interventions, like websites, offer greater access to psychosocial treatments; however, engagement is often suboptimal. Initial use may be a target to "hook" participants. Few studies examine engagement with cognitive behavioral stress management (CBSM). We tested predictors of engagement in the first week of using a CBSM website among women with breast cancer (BC). METHODS Older women (≥ 50 years) with nonmetastatic BC enrolled in an on-going trial (8/2016-4/2022, #NCT03955991) and were randomized to receive 10 synchronous, virtual CBSM group sessions immediately (n = 41) or after a 6-month waitlist (n = 34). All received simultaneous access to an asynchronous website, where supplemental videos and resources were released weekly. Engagement was tracked via breadth (features used) and depth (clicks within content). Multilevel modeling tested predictors of engagement (i.e., time, condition, age, daily stress, depression, race, ethnicity, disease stage). RESULTS Breadth decreased over the first week of CBSM (b = -0.93, p < .01), and women with more advanced stage disease engaged with more breadth (b = 0.52, p < .01) and depth (b = 14.06, p < .01) than women with earlier stage disease. Non-Hispanic (b = -0.59, p = .03) and White (b = -0.97, p < .01) women engaged with more features. Cancer stage and intervention timing interacted. Women with more advanced cancer stage who received CBSM later engaged with the most depth (b = -11.73, p = .04). All other characteristics did not predict engagement. CONCLUSIONS Disease stage, race, ethnicity, and intervention timing predicted engagement with a CBSM website in older BC patients. IMPLICATIONS FOR CANCER SURVIVORS Delivering CBSM later in cancer treatment may mitigate competing demands. Fostering greater engagement in racial/ethnic minorities is needed.
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Affiliation(s)
- Emily A Walsh
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Fifth Floor Coral, Gables, FL, 33146, USA.
| | - Paula J Popok
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Fifth Floor Coral, Gables, FL, 33146, USA
| | - Molly Ream
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Fifth Floor Coral, Gables, FL, 33146, USA
| | - Sierra Bainter
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Fifth Floor Coral, Gables, FL, 33146, USA
| | - Dolores Perdomo
- Department of Psychiatry & Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Chloe Taub
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Estefany Saez-Clarke
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Fifth Floor Coral, Gables, FL, 33146, USA
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Susan Kesmodel
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
- Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Bonnie B Blomberg
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
- Department of Microbiology/Immunology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Michael H Antoni
- Department of Psychology, University of Miami, 5665 Ponce de Leon Blvd, Fifth Floor Coral, Gables, FL, 33146, USA
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
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7
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Tallon D, Thomas L, Brabyn S, Ching BCF, Hahn JS, Jude B, X Logan M, Burrage A, Fox F, Gilbody S, Lanham P, Lewis G, Li J, MacNeill SJ, Nazareth I, Parrott S, Peters TJ, Shafran R, Turner K, Williams C, Kessler D, Wiles N. Integrated therapist and online CBT for depression in primary care (INTERACT): study protocol for a multi-centre randomised controlled trial. Trials 2023; 24:421. [PMID: 37340500 DOI: 10.1186/s13063-023-07396-9] [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: 03/30/2023] [Accepted: 05/19/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Cognitive behavioural therapy (CBT) is an effective treatment for depression. Self-directed online CBT interventions have made CBT more accessible at a lower cost. However, adherence is often poor and, in the absence of therapist support, effects are modest and short-term. Delivering CBT online using instant messaging is clinically and cost-effective; however, most existing platforms are limited to instant messaging sessions, without the support of between-session "homework" activities. The INTERACT intervention integrates online CBT materials and 'high-intensity' therapist-led CBT, delivered remotely in real-time. The INTERACT trial will evaluate this novel integration in terms of clinical and cost-effectiveness, and acceptability to therapists and clients. METHODS Pragmatic, two parallel-group multi-centre individually randomised controlled trial, with 434 patients recruited from primary care practices in Bristol, London and York. Participants with depression will be identified via General Practitioner record searches and direct referrals. INCLUSION CRITERIA aged ≥ 18 years; score ≥ 14 on Beck Depression Inventory (BDI-II); meeting International Classification of Diseases (ICD-10) criteria for depression. EXCLUSION CRITERIA alcohol or substance dependency in the past year; bipolar disorder; schizophrenia; psychosis; dementia; currently under psychiatric care for depression (including those referred but not yet seen); cannot complete questionnaires unaided or requires an interpreter; currently receiving CBT/other psychotherapy; received high-intensity CBT in the past four years; participating in another intervention trial; unwilling/unable to receive CBT via computer/laptop/smartphone. Eligible participants will be randomised to integrated CBT or usual care. Integrated CBT utilises the standard Beckian intervention for depression and comprises nine live therapist-led sessions, with (up to) a further three if clinically appropriate. The first session is 60-90 min via videocall, with subsequent 50-min sessions delivered online, using instant messaging. Participants allocated integrated CBT can access integrated online CBT resources (worksheets/information sheets/videos) within and between sessions. Outcome assessments at 3-, 6-, 9- and 12-month post-randomisation. The primary outcome is the Beck Depression Inventory (BDI-II) score at 6 months (as a continuous variable). A nested qualitative study and health economic evaluation will be conducted. DISCUSSION If clinically and cost-effective, this model of integrated CBT could be introduced into existing psychological services, increasing access to, and equity of, CBT provision. TRIAL REGISTRATION ISRCTN, ISRCTN13112900. Registered on 11/11/2020. Currently recruiting participants. Trial registration data are presented in Table 1.
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Affiliation(s)
- Debbie Tallon
- Bristol Medical School, Centre for Academic Mental Health, Population Health Sciences, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
| | - Laura Thomas
- Bristol Medical School, Centre for Academic Mental Health, Population Health Sciences, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Sally Brabyn
- ARRC 208, Department of Health Sciences, University of York, York, YO10 5DF, UK
| | - Brian Chi Fung Ching
- UCL Division of Psychiatry, Maple House, 149 Tottenham Court Road, London, WIT 7BN, UK
| | - Jane Sungmin Hahn
- UCL Division of Psychiatry, Maple House, 149 Tottenham Court Road, London, WIT 7BN, UK
| | - Berry Jude
- UCL Division of Psychiatry, Maple House, 149 Tottenham Court Road, London, WIT 7BN, UK
| | - Mekeda X Logan
- UCL Division of Psychiatry, Maple House, 149 Tottenham Court Road, London, WIT 7BN, UK
| | - Alex Burrage
- Bristol Medical School, Centre for Academic Mental Health, Population Health Sciences, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Fiona Fox
- Bristol Medical School, Centre for Academic Mental Health, Population Health Sciences, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Simon Gilbody
- Mental Health & Addiction Research Group, University of York & Hull York Medical School, York, UK
| | - Paul Lanham
- Public and Patient Involvement Representative, London, UK
| | - Glyn Lewis
- UCL Division of Psychiatry, Maple House, 149 Tottenham Court Road, London, WIT 7BN, UK
| | - Jinshuo Li
- Department of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, York, YO10 5DD, UK
| | - Stephanie J MacNeill
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Irwin Nazareth
- Department of Primary Care & Population Health, University College London, Royal Free Site, Rowland Hill Street, London, NW3, UK
| | - Steve Parrott
- Department of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, York, YO10 5DD, UK
| | - Tim J Peters
- Bristol Dental School, University of Bristol, Lower Maudlin Street, Bristol, BS21 2LY, UK
| | - Roz Shafran
- Great Ormond Street Institute of Child Health London, University College London, London, WC1N 1EH, UK
| | - Katrina Turner
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK
| | - Chris Williams
- Clarice Pears Building, University of Glasgow, 90 Byres Road, Glasgow, G12 8TA, UK
- Five Areas Ltd, 1 Aurora Avenue, Clydebank, G81 1BF, UK
| | - David Kessler
- Bristol Medical School, Centre for Academic Mental Health, Population Health Sciences, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Nicola Wiles
- Bristol Medical School, Centre for Academic Mental Health, Population Health Sciences, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
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8
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Klimczak KS, San Miguel GG, Mukasa MN, Twohig MP, Levin ME. A systematic review and meta-analysis of self-guided online acceptance and commitment therapy as a transdiagnostic self-help intervention. Cogn Behav Ther 2023; 52:269-294. [PMID: 36847182 DOI: 10.1080/16506073.2023.2178498] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Online Acceptance and Commitment Therapy (ACT) interventions use websites and smartphone apps to deliver ACT exercises and skills. The present meta-analysis provides a comprehensive review of online ACT self-help interventions, characterizing the programs that have been studied (e.g. platform, length, content) and analyzing their efficacy. A transdiagnostic approach was taken, including studies that addressed a range of targeted problems and populations. Multi-level meta-analyses were used to nest multiple measures of a single construct within their respective studies. A total of 53 randomized controlled trials were included (n = 10,730). Online ACT produced significantly greater outcomes than waitlist controls at post-treatment for anxiety, depression, quality of life, psychological flexibility, and all assessed outcomes (i.e. omnibus effect), which were generally maintained at follow-up. However, only psychological flexibility and all assessed outcomes at post-treatment were found to be significantly greater for online ACT when compared to active controls, with no significant follow-up effects. Overall, these results further clarify that ACT can be effectively delivered in an online format to target a wide range of mental health concerns, although it is less clear if and when online ACT is more efficacious than other online interventions.
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Affiliation(s)
- Korena S Klimczak
- Department of Psychology, Utah State University, 2810 Old Main Hill, Logan, UT 84322, USA
| | - Guadalupe G San Miguel
- Department of Psychology, Utah State University, 2810 Old Main Hill, Logan, UT 84322, USA
| | - Miriam N Mukasa
- Department of Psychology, Utah State University, 2810 Old Main Hill, Logan, UT 84322, USA
| | - Michael P Twohig
- Department of Psychology, Utah State University, 2810 Old Main Hill, Logan, UT 84322, USA
| | - Michael E Levin
- Department of Psychology, Utah State University, 2810 Old Main Hill, Logan, UT 84322, USA
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9
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Vera Cruz G, Aboujaoude E, Khan R, Rochat L, Ben Brahim F, Courtois R, Khazaal Y. Smartphone apps for mental health and wellbeing: A usage survey and machine learning analysis of psychological and behavioral predictors. Digit Health 2023; 9:20552076231152164. [PMID: 36714544 PMCID: PMC9880571 DOI: 10.1177/20552076231152164] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 01/03/2023] [Indexed: 01/24/2023] Open
Abstract
Objective Despite the availability of thousands of mental health applications, the extent to which they are used and the factors associated with their use remain largely unknown. The present study aims to (a) assess in a representative US-based population sample the use of smartphone apps for mental health and wellbeing (SAMHW), (b) determine the variables predicting the use of SAMHW, and (c) explore how a set of variables related to mental health, smartphone use, and smartphone "addiction" may be associated with the use of SAMHW. Methods Data was collected via online questionnaire from 1989 adults. The data gathered included information on smartphone use behavior, mental health, and the use of SAMHW. Latent class analysis was used to categorize participants. Machine learning and logistic regression analyses were used to determine the most important predictors of SAMHW use and associations between predictors and outcome variables. Results While two-thirds of participants had a statistically high probability for using SAMHW, nearly twice more had high probability for using them to improve wellbeing compared to using them to address mental health problems (43% vs. 18%). In both groups, these participants were more likely to be female and in the younger adult age bracket than male and in the adult or older adult age bracket. According to the machine learning model, the most important predictors for using the relevant smartphone apps were variables associated with smartphone problematic use, COVID-19 impact, and mental health problems. Conclusion Findings from the present study confirm that the use of SAMHW is growing, particularly among younger adult and female individuals who are negatively impacted by problematic smartphone use, COVID-19, and mental health problems. These individuals tend to bypass traditional care via psychotherapy or psychopharmacology, relying instead on smartphones to address mental health conditions or improve wellbeing. Advising users of these apps to also seek professional help and promoting efforts to prove the efficacy and safety of SAMHW would seem necessary.
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Affiliation(s)
- Germano Vera Cruz
- Department of Psychology, University of Picardie Jules Verne,
Amiens, France,Yasser Khazaal, CHUV, Département de
Psychiatrie, Service de médecine des addictions, Rue du Bugnon 23, 1011
Lausanne, Switzerland.
| | - Elias Aboujaoude
- Department of Psychiatry and Behavioral Sciences, Stanford University School of
Medicine, Stanford, CA, USA
| | - Riaz Khan
- Addiction Psychiatry, Foederatio Medicorum Helveticorum, Geneva,
Switzerland
| | - Lucien Rochat
- Addiction Division, Department of Psychiatry, University Hospitals
of Geneva, Geneva, Switzerland
| | | | - Robert Courtois
- Department of Psychology, University of Tours, Tours, France
| | - Yasser Khazaal
- Addiction Medicine, Lausanne University
Hospital, Lausanne, Switzerland,Department of Psychiatry, Lausanne University, Lausanne,
Switzerland,Department of Psychiatry and Addictology, Montreal University,
Montreal, QC, Canada
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10
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Mohammed F, Al-Kumaim NH, Alzahrani AI, Fazea Y. The Impact of Social Media Shared Health Content on Protective Behavior against COVID-19. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1775. [PMID: 36767142 PMCID: PMC9914293 DOI: 10.3390/ijerph20031775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/10/2023] [Accepted: 01/12/2023] [Indexed: 06/18/2023]
Abstract
The use of social media has increased during the COVID-19 pandemic because people are isolated and working from home. The use of social media enhances information exchange in society and may influence public protective behavior against the COVID-19 pandemic. The purpose of this study is to identify the factors affecting public protective behavior when relying on COVID-19 pandemic-related content shared on social media. A model based on Protection Motivation Theory (PMT) was proposed and validated using a quantitative survey approach. A questionnaire was distributed to random respondents, and 488 responses were received and analyzed using Smart-PLS software. The findings showed that perceived risk, e-health literacy, public awareness, and health experts' participation influence public protective behavior when using social media to share COVID-19-relevant content. The outcomes of this study can enhance government agencies' and public health care authorities' understanding of how to use social media to raise awareness and reduce panic among the public.
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Affiliation(s)
- Fathey Mohammed
- School of Computing, Universiti Utara Malaysia (UUM), Sintok 06010, Kedah, Malaysia
| | - Nabil Hasan Al-Kumaim
- Faculty of Technology Management and Technopreneurship, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal 76100, Melaka, Malaysia
| | - Ahmed Ibrahim Alzahrani
- Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia
| | - Yousef Fazea
- Department of Computer & Information Technology, Marshall University, 1 John Marshall Drive, Huntington, WV 25755, USA
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Heterogeneity of smartphone impact on everyday life and its relationship with personality and psychopathology: A latent profile analysis. Compr Psychiatry 2023; 120:152356. [PMID: 36403560 DOI: 10.1016/j.comppsych.2022.152356] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The relationships between problematic smartphone use and psychological factors have been extensively investigated. However, previous studies generally used variable-centered approaches, which hinder an examination of the heterogeneity of smartphone impact on everyday life. OBJECTIVE In the present study, we capitalized on latent profile analysis to identify various classes of smartphone owners based on the impact associated with smartphone use (e.g., unregulated usage, preference for smartphone-mediated social relationships) and to compare these classes in terms of established psychological risk factors for problematic smartphone use. METHOD We surveyed 934 young adults with validated psychometric questionnaires to assess the impact of smartphones, psychopathological symptoms, self-esteem and impulsivity traits. RESULTS Smartphone users fall into four latent profiles: users with low smartphone impact, users with average smartphone impact, problematic smartphone users, and users favoring online interactions. Individuals distributed in the problematic smartphone user profile were characterized by heightened psychopathological symptoms (stress, anxiety, depression, obsessive-compulsive tendencies) and impulsivity traits. Moreover, users who preferred online interactions exhibited the highest symptoms of social anxiety and the lowest levels of self-esteem. CONCLUSIONS These findings further demonstrate the multidimensionality and heterogeneity of the impact of smartphone use, calling for tailored prevention and intervention strategies.
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12
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Čermák J, Pietrucha S, Nawka A, Lipone P, Ruggieri A, Bonelli A, Comandini A, Cattaneo A. An Observational Pilot Study using a Digital Phenotyping Approach in Patients with Major Depressive Disorder Treated with Trazodone. Front Psychiatry 2023; 14:1127511. [PMID: 37032913 PMCID: PMC10080076 DOI: 10.3389/fpsyt.2023.1127511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 02/24/2023] [Indexed: 04/11/2023] Open
Abstract
This 8-week study was designed to explore any correlation between a passive data collection approach using a wearable device (i.e., digital phenotyping), active data collection (patient's questionnaires), and a traditional clinical evaluation [Montgomery-Åsberg Depression Rating Scale (MADRS)] in patients with major depressive disorder (MDD) treated with trazodone once a day (OAD). Overall, 11 out of 30 planned patients were enrolled. Passive parameters measured by the wearable device included number of steps, distance walked, calories burned, and sleep quality. A relationship between the sleep score (derived from passively measured data) and MADRS score was observed, as was a relationship between data collected actively (assessing depression, sleep, anxiety, and warning signs) and MADRS score. Despite the limited sample size, the efficacy and safety results were consistent with those previously reported for trazodone. The small population in this study limits the conclusions that can be drawn about the correlation between the digital phenotyping approach and traditional clinical evaluation; however, the positive trends observed suggest the need to increase synergies among clinicians, patients, and researchers to overcome the cultural barriers toward implementation of digital tools in the clinical setting. This study is a step toward the use of digital data in monitoring symptoms of depression, and the preliminary data obtained encourage further investigations of a larger population of patients monitored over a longer period of time.
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Affiliation(s)
- Jan Čermák
- Psychiatrie Říčany s.r.o., Říčany, Czechia
| | | | - Alexander Nawka
- Institut Neuropsychiatrické Péče (INEP) (Psychiatric Outpatient Clinic), Praha, Czechia
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13
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Wang Q, Peng S, Zha Z, Han X, Deng C, Hu L, Hu P. Enhancing the conversational agent with an emotional support system for mental health digital therapeutics. Front Psychiatry 2023; 14:1148534. [PMID: 37139323 PMCID: PMC10149869 DOI: 10.3389/fpsyt.2023.1148534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/22/2023] [Indexed: 05/05/2023] Open
Abstract
As psychological diseases become more prevalent and are identified as the leading cause of acquired disability, it is essential to assist people in improving their mental health. Digital therapeutics (DTx) has been widely studied to treat psychological diseases with the advantage of cost savings. Among the techniques of DTx, a conversational agent can interact with patients through natural language dialog and has become the most promising one. However, conversational agents' ability to accurately show emotional support (ES) limits their role in DTx solutions, especially in mental health support. One of the main reasons is that the prediction of emotional support systems does not extract effective information from historical dialog data and only depends on the data derived from one single-turn interaction with users. To address this issue, we propose a novel emotional support conversation agent called the STEF agent that generates more supportive responses based on a thorough view of past emotions. The proposed STEF agent consists of the emotional fusion mechanism and strategy tendency encoder. The emotional fusion mechanism focuses on capturing the subtle emotional changes throughout a conversation. The strategy tendency encoder aims at foreseeing strategy evolution through multi-source interactions and extracting latent strategy semantic embedding. Experimental results on the benchmark dataset ESConv demonstrate the effectiveness of the STEF agent compared with competitive baselines.
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Affiliation(s)
- Qing Wang
- China Mobile Research Institute, Beijing, China
| | | | - Zhiyuan Zha
- School of Information, Renmin University of China, Beijing, China
| | - Xue Han
- China Mobile Research Institute, Beijing, China
| | - Chao Deng
- China Mobile Research Institute, Beijing, China
- Chao Deng
| | - Lun Hu
- The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China
| | - Pengwei Hu
- The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China
- *Correspondence: Pengwei Hu
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14
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Ringrose T, Wang RC. The digital future of men's health. TRENDS IN UROLOGY & MEN'S HEALTH 2022. [DOI: 10.1002/tre.882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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15
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Agapie E, Areán PA, Hsieh G, Munson SA. A Longitudinal Goal Setting Model for Addressing Complex Personal Problems in Mental Health. PROCEEDINGS OF THE ACM ON HUMAN-COMPUTER INTERACTION 2022; 6:270. [PMID: 38939360 PMCID: PMC11210183 DOI: 10.1145/3555160] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Abstract
Goal setting is critical to achieving desired changes in life. Many technologies support defining and tracking progress toward goals, but these are just some parts of the process of setting and achieving goals. People want to set goals that are more complex than the ones supported through technology. Additionally, people use goal-setting technologies longitudinally, yet the understanding of how people's goals evolve is still limited. We study the collaborative practices of mental health therapists and clients for longitudinally setting and working toward goals through semi-structured interviews with 11 clients and 7 therapists who practiced goal setting in their therapy sessions. Based on the results, we create the Longitudinal Goal Setting Model in mental health, a three-stage model. The model describes how clients and therapists select among multiple complex problems, simplify complex problems to specific goals, and adjust goals to help people address complex issues. Our findings show collaboration between clients and therapists can support transformative reflection practices that are difficult to achieve without the therapist, such as seeing problems through new perspectives, questioning and changing practices, or addressing avoided issues.
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16
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Zulkefly NS, Schaff ARD, Zaini NA, Mukhtar F, Norowi NM, Dahlan R, Said SM. Protocol for randomized control trial of a digital-assisted parenting intervention for promoting Malaysian children’s mental health. Front Psychol 2022; 13:928895. [PMID: 36211835 PMCID: PMC9541885 DOI: 10.3389/fpsyg.2022.928895] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 08/31/2022] [Indexed: 12/01/2022] Open
Abstract
Background Mental illness among Malaysian children is gradually reaching a fundamentally alarming point as it persistently shows increasing trend. The existing literature on the etiologies of children’s mental illness, highlights the most common cause to be ineffective or impaired parenting. Thus, efforts to combat mental illness in children should focus on improving the quality of parenting. Documented interventional studies focusing on this issue, particularly in Malaysia, are scarce and commonly report poor treatment outcomes stemming from inconvenient face-to-face instructions. Consequently, proposing an accessible online and digital-assisted parenting program is expected to reach a larger number of parents, as it can overcome substantial barriers. Hence, this study aims to develop a universal digital-assisted preventive parenting intervention called DaPI, that aims to enhance mental health of children in Malaysia. Methods A total of 200 parents of children aged 10–14 years will be recruited and randomized into two groups either intervention or waitlist-control based on a 1:1 ratio for a duration of 8 weeks. Those in the intervention group will receive eight sessions of the DaPI program that focus mainly on parenting and children’s mental health. The primary outcome of this study will essentially focus on the changes in parent-reported parenting behavior and parental self-efficacy. The secondary outcome will be changes in children’s mental health (i.e., behavioral problems and emotional maladjustment). Assessments will be arranged pre- and post-intervention as well as at the 1-month follow-up. Analyses will be conducted using a paired t-test and multivariate analysis of covariance. Discussion The expected outcome will be the establishment of DaPI in promoting children’s mental health by targeting changes in parenting behavior and parental self-efficacy in Malaysia. Findings from this study will be beneficial for policymakers to invest in parenting programs that could provide support to parents in enhancing their child’s overall development. Clinical trial registration [www.irct.ir], identifier [IRCT20211129053207N1].
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Affiliation(s)
- Nor Sheereen Zulkefly
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
- *Correspondence: Nor Sheereen Zulkefly,
| | - Anis Raihan Dzeidee Schaff
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Nur Arfah Zaini
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Firdaus Mukhtar
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Noris Mohd Norowi
- Department of Multimedia, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Malaysia
| | - Rahima Dahlan
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
| | - Salmiah Md. Said
- Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia
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The Relationship between Cellphone Usage on the Physical and Mental Wellbeing of University Students: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159352. [PMID: 35954709 PMCID: PMC9368281 DOI: 10.3390/ijerph19159352] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 07/13/2022] [Accepted: 07/27/2022] [Indexed: 11/17/2022]
Abstract
(1) Background: The study aims to examine the use of cell phones on physical and mental health status and their impact on personality among university students. (2) Methods: A cross-sectional study was conducted using a semi-structured questionnaire. The association of physical and mental health variables with the demographic variables was examined using Pearson’s correlation and χ2-test. The binary logistic regression model was further used to predict the probabilities of negative impact on personality due to excessive use of cell phones. (3) Results: A total of 400 participants participated with a mean age of 24.45 ± 3.45 years. The average eye strain was more in High cell phone users HCPU than in LCPU and that difference was significant p = 0.000. The average neck pain was more in (HCPU) than Low cell phone users (LCPU) and there was a significant difference between the two groups with p = 0.006. The average weight gain was more in HCPU than LCPU and that difference was significant p = 0.000. Considering back pain, back pain was found more in HCPU as compared to LCPU with a statistical difference at p = 0.027. Cell phone usage significantly correlated with eye strain (r = 0.577, p = 0.000), neck pain (r = 0.543, p = 0.000), back pain (r = 0.611, p = 0.000), weight gain (r = 0.423, p = 0.000), depression (r = 0.430, p = 0.000), loneliness (r = −0.276, p = 0.002), and mood disorder (r = 0.608, p = 0.000). Eye strain, neck pain, and back pain was observed more in HCPU than in LCPU. HCPU felt they gained more weight when compared to the respondents in the LCPU group. HCPU felt more changes in mood and feeling low when compared to the LCPU, while LCPU group felt more lonelier when compared to the HCPU group. (4) Conclusions: The study highlights a significant association between excess use of cell phones and negative effects on physical and mental health wellbeing. Based on the results, it is recommended that more physical activities and alternative to minimize cell phone usage should be planned for the students. Public health policy makers and stakeholder need to address the ill effects of excessive use of cell phones through novel policies., especially young students, and alternatives to reduce their cell phone activities.
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18
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Alsyouf A, Lutfi A, Al-Bsheish M, Jarrar M, Al-Mugheed K, Almaiah MA, Alhazmi FN, Masa’deh R, Anshasi RJ, Ashour A. Exposure Detection Applications Acceptance: The Case of COVID-19. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127307. [PMID: 35742560 PMCID: PMC9223380 DOI: 10.3390/ijerph19127307] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 06/05/2022] [Accepted: 06/08/2022] [Indexed: 12/14/2022]
Abstract
The pandemic's context is rife with numerous dangerous threats and high fear levels, influencing human decision-making. Such characteristics are identified by investigating the acceptance of exposure detection apps from the technology acceptance model (TAM) perspective. This study purposed a model to investigate protection technology acceptance, specifically exposure detection apps in the context of COVID-19. Quantitative study approach and a cross-section design targeted 586 participants from Saudi Arabia. As the study model is complex, the study hypotheses were analysed using the structural equation modelling-partial least squares (SEM-PLS3) approach. The findings support the entire model hypothesis except the link between social media awareness and exposure detection apps' intention. Mediation of COVID-19 anxiety and influence was confirmed as well. The current paper contributes to the technologies acceptance domain by developing a context-driven model comprising the major pandemic characteristics that lead to various patterns of technology acceptance. This study also fills the literature gap regarding mediating effects of social influence and COVID-19 anxiety in the relationship between trust in government and exposure detection apps implementation, and between COVID-19 anxiety and exposure detection apps implementation, respectively. The results may assist government agencies, health policymakers, and health organisations in the wide world and specifically Saudi Arabia, in their attempts to contain the COVID-19 pandemic spread.
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Affiliation(s)
- Adi Alsyouf
- Department of Managing Health Services and Hospitals, Faculty of Business Rabigh, College of Business (COB), King Abdulaziz University, Jeddah 21991, Saudi Arabia
- Correspondence: (A.A.); (A.L.)
| | - Abdalwali Lutfi
- Department of Accounting, College of Business Administration, King Faisal University, Al-Ahsa 31982, Saudi Arabia
- Correspondence: (A.A.); (A.L.)
| | - Mohammad Al-Bsheish
- Health Management Department, Batterjee Medical College, Jeddah 21442, Saudi Arabia;
| | - Mu’taman Jarrar
- Medical Education Department, King Fahd Hospital of the University, Al-Khobar 34445, Saudi Arabia;
- Vice Deanship for Quality and Development, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 34212, Saudi Arabia
| | - Khalid Al-Mugheed
- Surgical Nursing Department, Faculty of Nursing, Near East University, Nicosia 99138, Cyprus;
| | - Mohammed Amin Almaiah
- Department of Computer Networks, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia;
| | - Fahad Nasser Alhazmi
- Department of Health Services and Hospital Administration, Faculty of Economics and Administration, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
| | - Ra’ed Masa’deh
- Department of Management Information Systems, School of Business, University of Jordan, Amman 11942, Jordan;
| | - Rami J. Anshasi
- Prosthodontics Department, Faculty of Dentistry, Jordan University of Science and Technology, Irbid 22110, Jordan;
| | - Abdallah Ashour
- Department of Nursing, Faculty of Nursing, Philadelphia University, Amman 19392, Jordan;
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19
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Mavragani A, Weingarden H, Wolfe EC, Hall MD, Snorrason I, Wilhelm S. Human Support in App-Based Cognitive Behavioral Therapies for Emotional Disorders: Scoping Review. J Med Internet Res 2022; 24:e33307. [PMID: 35394434 PMCID: PMC9034419 DOI: 10.2196/33307] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 01/18/2022] [Accepted: 01/31/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Smartphone app-based therapies offer clear promise for reducing the gap in available mental health care for people at risk for or people with mental illness. To this end, as smartphone ownership has become widespread, app-based therapies have become increasingly common. However, the research on app-based therapies is lagging behind. In particular, although experts suggest that human support may be critical for increasing engagement and effectiveness, we have little systematic knowledge about the role that human support plays in app-based therapy. It is critical to address these open questions to optimally design and scale these interventions. OBJECTIVE The purpose of this study is to provide a scoping review of the use of human support or coaching in app-based cognitive behavioral therapy for emotional disorders, identify critical knowledge gaps, and offer recommendations for future research. Cognitive behavioral therapy is the most well-researched treatment for a wide range of concerns and is understood to be particularly well suited to digital implementations, given its structured, skill-based approach. METHODS We conducted systematic searches of 3 databases (PubMed, PsycINFO, and Embase). Broadly, eligible articles described a cognitive behavioral intervention delivered via smartphone app whose primary target was an emotional disorder or problem and included some level of human involvement or support (coaching). All records were reviewed by 2 authors. Information regarding the qualifications and training of coaches, stated purpose and content of the coaching, method and frequency of communication with users, and relationship between coaching and outcomes was recorded. RESULTS Of the 2940 titles returned by the searches, 64 (2.18%) were eligible for inclusion. This review found significant heterogeneity across all of the dimensions of coaching considered as well as considerable missing information in the published articles. Moreover, few studies had qualitatively or quantitatively evaluated how the level of coaching impacts treatment engagement or outcomes. Although users tend to self-report that coaching improves their engagement and outcomes, there is limited and mixed supporting quantitative evidence at present. CONCLUSIONS Digital mental health is a young but rapidly expanding field with great potential to improve the reach of evidence-based care. Researchers across the reviewed articles offered numerous approaches to encouraging and guiding users. However, with the relative infancy of these treatment approaches, this review found that the field has yet to develop standards or consensus for implementing coaching protocols, let alone those for measuring and reporting on the impact. We conclude that coaching remains a significant hole in the growing digital mental health literature and lay out recommendations for future data collection, reporting, experimentation, and analysis.
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Affiliation(s)
| | - Hilary Weingarden
- Massachusetts General Hospital, Boston, MA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Emma C Wolfe
- Massachusetts General Hospital, Boston, MA, United States
| | | | - Ivar Snorrason
- Massachusetts General Hospital, Boston, MA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Sabine Wilhelm
- Massachusetts General Hospital, Boston, MA, United States.,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
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20
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Werner NE, Brown JC, Loganathar P, Holden RJ. Quality of Mobile Apps for Care Partners of People With Alzheimer Disease and Related Dementias: Mobile App Rating Scale Evaluation. JMIR Mhealth Uhealth 2022; 10:e33863. [PMID: 35348467 PMCID: PMC9006134 DOI: 10.2196/33863] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 01/16/2022] [Accepted: 02/16/2022] [Indexed: 02/06/2023] Open
Abstract
Background Over 11 million care partners in the United States who provide care to people living with Alzheimer disease and related dementias (ADRD) cite persistent and pervasive unmet needs related to their caregiving role. The proliferation of mobile apps for care partners has the potential to meet care partners’ needs, but the quality of apps is unknown. Objective This study aims to evaluate the quality of publicly available apps for care partners of people living with ADRD and identify design features of low- and high-quality apps to guide future research and user-centered app development. Methods We searched the US Apple App and Google Play stores with the criteria that included apps needed to be available in the US Google Play or Apple App stores, accessible to users out of the box, and primarily intended for use by an informal (family or friend) care partner of a person living with ADRD. We classified and tabulated app functionalities. The included apps were then evaluated using the Mobile App Rating Scale (MARS) using 23 items across 5 dimensions: engagement, functionality, aesthetics, information, and subjective quality. We computed descriptive statistics for each rating. To identify recommendations for future research and app development, we categorized rater comments on score-driving factors for each MARS rating item and what the app could have done to improve the item score. Results We evaluated 17 apps. We found that, on average, apps are of minimally acceptable quality. Functionalities supported by apps included education (12/17, 71%), interactive training (3/17, 18%), documentation (3/17, 18%), tracking symptoms (2/17, 12%), care partner community (3/17, 18%), interaction with clinical experts (1/17, 6%), care coordination (2/17, 12%), and activities for the person living with ADRD (2/17, 12%). Of the 17 apps, 8 (47%) had only 1 feature, 6 (35%) had 2 features, and 3 (18%) had 3 features. The MARS quality mean score across apps was 3.08 (SD 0.83) on the 5-point rating scale (1=inadequate to 5=excellent), with apps scoring highest on average on functionality (mean 3.37, SD 0.99) and aesthetics (mean 3.24, SD 0.92) and lowest on average on information (mean 2.95, SD 0.95) and engagement (mean 2.76, SD 0.89). The MARS subjective quality mean score across apps was 2.26 (SD 1.02). Conclusions We identified apps whose mean scores were more than 1 point below minimally acceptable quality, whereas some were more than 1 point above. Many apps had broken features and were rated as below acceptable for engagement and information. Minimally acceptable quality is likely to be insufficient to meet care partner needs. Future research should establish minimum quality standards across dimensions for care partner mobile apps. Design features of high-quality apps identified in this study can provide the foundation for benchmarking these standards.
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Affiliation(s)
- Nicole E Werner
- Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, United States
| | - Janetta C Brown
- Indiana University School of Medicine, Indianapolis, IN, United States
| | - Priya Loganathar
- Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, United States
| | - Richard J Holden
- Department of Health & Wellness Design, School of Public Health-Bloomington, Indiana University, Bloomington, IN, United States
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21
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Marziliano A, Diefenbach MA, Hudson SV, Tagai EK, Handorf EA, Bator A, Miller SM. Demographic and Psychosocial Characteristics Associated With Use of a Prostate Cancer Survivorship Website: Implications From a Multisite Randomized Controlled Trial. J Med Internet Res 2022; 24:e27890. [PMID: 35311678 PMCID: PMC8981019 DOI: 10.2196/27890] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 09/13/2021] [Accepted: 10/14/2021] [Indexed: 11/23/2022] Open
Abstract
Background Many prostate cancer (PC) survivors experience disease and treatment-related symptomatology in both the physical and psychosocial domains. Although the benefits and barriers to using web-based resources for cancer patients are well-documented, less research has focused on the personal characteristics important for efficient tailoring and targeting of information that are associated with usage. Objective We used the Cognitive-Social Health Information Processing (C-SHIP) framework to guide our exploration of personal characteristics associated with use of PROGRESS, an informational PC survivorship website that addresses physical, emotional, interpersonal, and practical concerns relevant for PC survivors. Methods PC survivors (N=217) were randomized to the intervention arm (PROGRESS) of a randomized controlled trial. Of those randomized to the intervention arm, 84 used PROGRESS, and 133 did not use PROGRESS. Multivariable analyses evaluated demographic and psychosocial characteristics (eg, style of coping, health literacy, self-efficacy, affective states of depression, anxiety, and fatigue) associated with website use. Results A larger proportion of non-Hispanic White (68/160, 42.5%), compared with non-Hispanic Black (9/40, 23%), participants used PROGRESS (P<.001). Further, PROGRESS users were older in age (P<.001), had a monitoring style of coping (P=.01), and were less depressed (P=.004), anxious (P=.02), and fatigued (P<.001) than nonusers. Education, income, health literacy, blunting style of coping, self-efficacy, and treatment type (radiation therapy or surgery) were not significantly related to use. On multivariable analyses, race (OR 0.28, P<.001), age (OR 1.05, P<.001), monitoring style of coping (OR 1.27, P=.02), and overall mood (OR 0.98, P<.001) remained significant. Conclusions A combination of monitoring and low levels of negative affect were associated with website use. Additionally, users were older, non-Hispanic White survivors. To ensure that important survivorship-relevant information reaches users, future efforts need to focus on enhancing patient engagement. Trial Registration ClinicalTrials.gov NCT02224482; https://clinicaltrials.gov/ct2/show/NCT02224482
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Affiliation(s)
- Allison Marziliano
- Center for Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Michael A Diefenbach
- Center for Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Shawna V Hudson
- Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
| | - Erin K Tagai
- Cancer Prevention and Control, Fox Chase Cancer Center/Temple University Health System, Philadelphia, PA, United States
| | - Elizabeth A Handorf
- Cancer Prevention and Control, Fox Chase Cancer Center/Temple University Health System, Philadelphia, PA, United States
| | - Alicja Bator
- Cancer Prevention and Control, Fox Chase Cancer Center/Temple University Health System, Philadelphia, PA, United States
| | - Suzanne M Miller
- Cancer Prevention and Control, Fox Chase Cancer Center/Temple University Health System, Philadelphia, PA, United States
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Manning JB, Blandford A, Edbrooke-Childs J. Digital Companion Choice to Support Teachers' Stress Self-management: Systematic Approach Through Taxonomy Creation. JMIR Form Res 2022; 6:e32312. [PMID: 35171106 PMCID: PMC8892277 DOI: 10.2196/32312] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 11/02/2021] [Accepted: 11/02/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND There are thousands of digital companions designed for emotional well-being and stress, including websites, wearables, and smartphone apps. Although public evaluation frameworks and ratings exist, they do not facilitate digital companion choice based on contextual or individual information, such as occupation or personal management strategies. OBJECTIVE The aim of this study is to establish a process for creating a taxonomy to support systematic choice of digital companions for teachers' stress self-management. METHODS We used a 4-step study design. In step 1, we identified the dimension of stress self-management and strategic classifications. In step 2, we identified the dimension of the digital techniques and conceptual descriptions. In step 3, we created 6 criteria for the inclusion of digital companions. In step 4, we used the taxonomy framework created by steps 1 and 2 and populated it with digital companions for stress self-management, as identified in step 3. RESULTS First, in the dimension of stress self-management, we identified four classes of strategies: educational, physiological, cognitive, and social. Second, in the digital techniques dimension, we derived four conceptual descriptions for the digital companions' mechanisms of action: fostering reflection, suggesting treatment, peer-to-peer support, and entertainment. Third, we created six criteria for digital companion inclusion in the taxonomy: suitability, availability, evaluation, security, validity, and cost. Using the taxonomy framework and criteria, we populated it with digital companions for stress management ahead of presentation to teachers in a stress study workshop. CONCLUSIONS The elements of our approach can be generalized as principles for the creation of taxonomies for other occupations or conditions. Taxonomies such as this could be a valuable resource for individuals to understand which digital companion could be of help in their personal context.
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Affiliation(s)
- Julia B Manning
- Interaction Centre, Department of Computer Science, University College London, London, United Kingdom
| | - Ann Blandford
- Institute of Healthcare Engineering, University College London, London, United Kingdom
| | - Julian Edbrooke-Childs
- Evidence-based Practice Unit, University College London and Anna Freud Centre, London, United Kingdom
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Mohd Salleh Sahimi H, Norzan MH, Nik Jaafar NR, Sharip S, Ashraf A, Shanmugam K, Bistamam NS, Mohammad Arrif NE, Kumar S, Midin M. Excessive smartphone use and its correlations with social anxiety and quality of life among medical students in a public university in Malaysia: A cross-sectional study. Front Psychiatry 2022; 13:956168. [PMID: 36506446 PMCID: PMC9729953 DOI: 10.3389/fpsyt.2022.956168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/11/2022] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION Smartphone usage has significantly increased in the last decade among young adults has significantly increased in the last decade. While its benefits are undeniable, its negative implications are increasingly emerging. Studies are needed to investigate the effects of excessive smartphone use on a young person's life. This study aimed to determine the prevalence of excessive smartphone use among medical students and its relations with social anxiety, self-esteem, and quality of life. METHODS A cross-sectional study was conducted among medical students from Universiti Kebangsaan Malaysia (UKM) in UKM Medical Center. A total of 273 students have consented to participate and completed self-reported questionnaires encompassing sociodemographic information, the Short Version Smartphone Addiction Scale (SAS-SV), the Social Interaction Anxiety Scale (SIAS), the World Health Organization Quality of Life (WHOQOL-BREF) and the Rosenberg Self-esteem Scale (RSES). Sociodemographic data, SIAS score, WHOQOL-BREF score and the Rosenberg Self-esteem Scale score were treated as independent variables. Smartphone addiction Scale score was treated as the dependent variable. Bivariate analysis was used to explore the relationship between independent and dependent variables using the Fisher exact test, Pearson Chi-Square and Pearson correlation coefficient. Multiple linear regression analysis was used to analyze the variables with a p-value of < 0.05 from the Pearson correlation coefficient test. RESULTS The percentage of excessive smarphone use among UKM medical students is 48%. The bivariate analysis showed that excessive smartphone use has a small but significant positive correlation with social anxiety (r = 0.173, p = 0.004) and negative correlations with physical health (r = -0.133, p = 0.028), psychological wellbeing (r =-0.135, p = 0.026), social relationships (r = -0.232, p = 0.001), environment (r = -0.260, p = 0.001) and self-esteem (r = -0.128, p = 0.035). In the multiple regression analysis, a better environment predicted a reduced risk for smartphone addiction (β = -0.233, p = 0.013). CONCLUSION Almost half of the students were found to have smartphone overdependence. Excessive smartphone use has shown a significant relationship with an increased risk for social anxiety, reduction in self-esteem, and quality of life among medical students. A closer look into the possible intervention is needed in the future to curb the negative effects arising from excessive smartphone use.
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Affiliation(s)
| | - Mohd Hafiz Norzan
- Department of Psychiatry, Kuala Lumpur Hospital, Kuala Lumpur, Malaysia
| | - Nik Ruzyanei Nik Jaafar
- Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia
| | - Shalisah Sharip
- Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia
| | - Ammar Ashraf
- Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia
| | - Kamaleshini Shanmugam
- Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia
| | - Nur Shahirah Bistamam
- Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia
| | | | - Saathish Kumar
- Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia
| | - Marhani Midin
- Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia
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Eisenstadt A, Liverpool S, Metaxa AM, Ciuvat RM, Carlsson C. Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis. JMIR Form Res 2021; 5:e31064. [PMID: 34569466 PMCID: PMC8593799 DOI: 10.2196/31064] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/24/2021] [Accepted: 09/26/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND There is growing evidence suggesting that the emotional well-being of the public has been negatively affected in the past year. Consequently, demand for well-being support has increased. Although there is substantial empirical support for mental health apps that target diagnosed conditions, there is less research on emotional well-being apps. Among existing well-being apps, few studies have been conducted on apps that are based on lived experience and those that seek to enhance users' understanding of their emotional patterns. Thus, the acceptability of these novel apps requires further evaluation before upscaling. OBJECTIVE This evaluation aims to describe the acceptability, engagement, and preliminary outcomes of using an app (Paradym) designed to promote emotional well-being and positive mental health. METHODS This is a pre-post, mixed-methods, single-arm evaluation that is aggregated with digital analytics data. We anonymously collected real-world data on the demographics and well-being of the participants as well as the usability and acceptance of the app using validated questionnaires and open-ended questions. Participants tested the app for a minimum of 2 weeks before completing the follow-up measures. Google Analytics was used to record the level of app engagement. Chi-square and 2-tailed t tests were conducted to analyze quantitative data, and a thematic analysis approach was adopted for qualitative data. RESULTS A total of 115 participants completed baseline questionnaires, of which 79.1% (91/115) users downloaded the app. The sample was diverse in terms of ethnicity, including 43.4% (50/115) people who self-identified as belonging to minority ethnic groups. Most of the participants were female (78/115, 67.8%) and between the ages of 18 and 25 years (39/115, 33.9%). A total of 34 app users who completed questionnaires at baseline and follow-up provided valuable feedback to inform the future directions of Paradym. Favorable themes emerged describing the app's content, functionality, and underlying principles. Although usability feedback varied across items, a considerable number of participants (22/34, 64%) found that the app was easy to use. Google Analytics revealed that at least 79% (27/34) of people used the app daily. On the basis of preliminary observations, app users experience increased mental well-being. Post hoc analyses indicated that the reduction in depression scores (t33=-2.16) and the increase in the well-being measures (t33=2.87) were statistically significant. No adverse events were reported during the follow-up period. CONCLUSIONS The findings of this evaluation are encouraging and document positive preliminary evidence for the Paradym app.
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Affiliation(s)
- Amelia Eisenstadt
- Evidence Based Practice Unit, University College London and Anna Freud National Centre for Children and Families, London, United Kingdom
| | - Shaun Liverpool
- Evidence Based Practice Unit, University College London and Anna Freud National Centre for Children and Families, London, United Kingdom.,Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk, United Kingdom
| | - Athina-Marina Metaxa
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Roberta Maria Ciuvat
- Division of Psychology and Language Sciences, University College London, London, United Kingdom
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25
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Oti O, Pitt I. Online mental health interventions designed for students in higher education: A user-centered perspective. Internet Interv 2021; 26:100468. [PMID: 34703772 PMCID: PMC8524143 DOI: 10.1016/j.invent.2021.100468] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/24/2021] [Accepted: 10/05/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Digital mental health interventions have been posited as a way of reducing the burden on mental health services in higher education institutions. However, low adherence and high attrition rates present a challenge that limits the effectiveness of these interventions. User-centered design has been proposed as a suitable approach in improving the adherence of users to these interventions. OBJECTIVE The objective of this scoping review was to examine digital mental health interventions that have been designed specifically for students in higher education. It aimed to summarize the published literature on digital mental health interventions which take a user-centered approach in developing interventions for students in higher education. METHODS A scoping review of peer-reviewed research papers from the following electronic databases was conducted: Embase, ACM digital library, Web of Science, IEEE Explore, SCOPUS, EBSCO Host (including APA PyscInfo, CINAHL PLUS, APA PsycArticles, Medline), PubMed and Google Scholar. Databases were searched from inception until 13 Jan and 14 Jan 2021. Of the 755 articles that were identified, 57 articles were selected for full review. 34 articles were excluded for not matching the inclusion criteria. RESULTS 23 studies were included in this review. The included interventions targeted various areas of mental health including depression, anxiety, overall wellbeing, and mental health awareness. The interventions were commonly delivered through mobile apps, web-based apps, and desktop apps. In addition, we explore design methodologies applied in the development of the interventions: we note significant stakeholder engagement in the studies, the inclusion of multiple stakeholder types (students, health care professionals, university staff, and young people in the general population), and limited use of design frameworks. Finally, in exploring user engagement, attrition rates and user acceptance, we find that most of the studies have not progressed enough (i.e., at pilot/prototype stages of development) to determine the impact of design methodologies on the success of these interventions. CONCLUSION Our review revealed a need for further research on the impact of user-centered design practices on the success of digital mental health interventions in this population. Further, we provide recommendations that researchers/designers in this field of research should take into consideration when designing online mental health interventions for students in higher education. Some of the recommendations include: add personalization; improve user interfaces; take adequate steps to ensure anonymity/privacy/security; include peer engagement; and include access to mental health professionals.
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26
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Borghouts J, Eikey EV, Mark G, De Leon C, Schueller SM, Schneider M, Stadnick N, Zheng K, Mukamel DB, Sorkin DH. Understanding Mental Health App Use Among Community College Students: Web-Based Survey Study. J Med Internet Res 2021; 23:e27745. [PMID: 34519668 PMCID: PMC8479606 DOI: 10.2196/27745] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 05/06/2021] [Accepted: 07/27/2021] [Indexed: 02/06/2023] Open
Abstract
Background Mental health concerns are a significant issue among community college students, who often have less access to resources than traditional university college students. Mobile apps have the potential to increase access to mental health care, but there has been little research investigating factors associated with mental health app use within the community college population. Objective This study aimed to understand facilitators of and barriers to mental health app use among community college students. Methods A web-based survey was administered to a randomly selected sample of 500 community college students from April 16 to June 30, 2020. Structural equation modeling was used to test the relationships between the use of mental health apps, perceived stress, perceived need to seek help for mental health concerns, perceived stigma, past use of professional mental health services, privacy concerns, and social influence of other people in using mental health apps. Results Of the 500 participants, 106 (21.2%) reported use of mental health apps. Perceived stress, perceived need to seek help, past use of professional services, and social influence were positively associated with mental health app use. Furthermore, the effect of stress was mediated by a perceived need to seek help. Privacy concerns were negatively associated with mental health app use. Stigma, age, and gender did not have a statistically significant effect. Conclusions These findings can inform development of new digital interventions and appropriate outreach strategies to engage community college students in using mental health apps.
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Affiliation(s)
- Judith Borghouts
- Department of Medicine, University of California Irvine, Irvine, CA, United States
| | - Elizabeth V Eikey
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, CA, United States.,The Design Lab, University of California, San Diego, San Diego, CA, United States
| | - Gloria Mark
- Department of Informatics, University of California, Irvine, Irvine, CA, United States
| | - Cinthia De Leon
- Department of Medicine, University of California Irvine, Irvine, CA, United States
| | - Stephen M Schueller
- Department of Informatics, University of California, Irvine, Irvine, CA, United States.,Department of Psychological Science, University of California, Irvine, Irvine, CA, United States
| | - Margaret Schneider
- Department of Public Health, University of California, Irvine, Irvine, CA, United States
| | - Nicole Stadnick
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.,Dissemination and Implementation Science Center, UC San Diego Altman Clinical and Translational Research Institute, La Jolla, CA, United States.,Child and Adolescent Services Research Center, San Diego, CA, United States
| | - Kai Zheng
- Department of Informatics, University of California, Irvine, Irvine, CA, United States
| | - Dana B Mukamel
- Department of Medicine, University of California Irvine, Irvine, CA, United States
| | - Dara H Sorkin
- Department of Medicine, University of California Irvine, Irvine, CA, United States
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27
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Small GW, Lee J, Kaufman A, Jalil J, Siddarth P, Gaddipati H, Moody TD, Bookheimer SY. Brain health consequences of digital technology use
. DIALOGUES IN CLINICAL NEUROSCIENCE 2021; 22:179-187. [PMID: 32699518 PMCID: PMC7366948 DOI: 10.31887/dcns.2020.22.2/gsmall] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Emerging scientific evidence indicates that frequent digital technology use has a
significant impact—both negative and positive—on brain function and behavior. Potential
harmful effects of extensive screen time and technology use include heightened
attention-deficit symptoms, impaired emotional and social intelligence, technology
addiction, social isolation, impaired brain development, and disrupted sleep. However,
various apps, videogames, and other online tools may benefit brain health. Functional
imaging scans show that internet-naive older adults who learn to search online show
significant increases in brain neural activity during simulated internet searches.
Certain computer programs and videogames may improve memory, multitasking skills, fluid
intelligence, and other cognitive abilities. Some apps and digital tools offer mental
health interventions providing self-management, monitoring, skills training, and other
interventions that may improve mood and behavior. Additional research on the positive
and negative brain health effects of technology is needed to elucidate mechanisms and
underlying causal relationships.
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Affiliation(s)
- Gary W Small
- Department of Psychiatry and Biobehavioral Sciences and Semel Institute for Neuroscience and Human Behavior, the UCLA Longevity Center, David Geffen School of Medicine at the University of California, Los Angeles, California, US
| | - Jooyeon Lee
- Department of Psychiatry and Biobehavioral Sciences and Semel Institute for Neuroscience and Human Behavior, the UCLA Longevity Center, David Geffen School of Medicine at the University of California, Los Angeles, California, US
| | - Aaron Kaufman
- Department of Psychiatry and Biobehavioral Sciences and Semel Institute for Neuroscience and Human Behavior, the UCLA Longevity Center, David Geffen School of Medicine at the University of California, Los Angeles, California, US
| | - Jason Jalil
- Department of Psychiatry and Biobehavioral Sciences and Semel Institute for Neuroscience and Human Behavior, the UCLA Longevity Center, David Geffen School of Medicine at the University of California, Los Angeles, California, US
| | - Prabha Siddarth
- Department of Psychiatry and Biobehavioral Sciences and Semel Institute for Neuroscience and Human Behavior, the UCLA Longevity Center, David Geffen School of Medicine at the University of California, Los Angeles, California, US
| | - Himaja Gaddipati
- Department of Psychiatry and Biobehavioral Sciences and Semel Institute for Neuroscience and Human Behavior, the UCLA Longevity Center, David Geffen School of Medicine at the University of California, Los Angeles, California, US
| | - Teena D Moody
- Department of Psychiatry and Biobehavioral Sciences and Semel Institute for Neuroscience and Human Behavior, the UCLA Longevity Center, David Geffen School of Medicine at the University of California, Los Angeles, California, US
| | - Susan Y Bookheimer
- Department of Psychiatry and Biobehavioral Sciences and Semel Institute for Neuroscience and Human Behavior, the UCLA Longevity Center, David Geffen School of Medicine at the University of California, Los Angeles, California, US
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28
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Ellison JM, Semlow AR, Jaeger EC, Griffth DM. COVID-19 and MENtal Health: Addressing Men's Mental Health Needs in the Digital World. Am J Mens Health 2021; 15:15579883211030021. [PMID: 34229530 PMCID: PMC8267042 DOI: 10.1177/15579883211030021] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/24/2021] [Accepted: 06/14/2021] [Indexed: 11/21/2022] Open
Abstract
The COVID-19 pandemic continues to be a source of stress and have important mental health implications for all persons but may have unique implications for men. In addition to the risk of contracting and dying from COVID-19, the rising COVID-19 death toll, ongoing economic uncertainty, loneliness from social distancing, and other changes to our lifestyles make up the perfect recipe for a decline in mental health. In June 2020, men reported slightly lower rates of anxiety than women, but had higher rates of depressive symptoms and suicidal ideation. As of September 2020, men sought mental health care at a higher rate than women for family and relationships, with year-over-year visits up 5.5 times and total virtual mental health care visits monthly growth in 2020 was up 79% since January. Because men are not a homogeneous group, it is important to implement strategies for groups of men that may have particularly unique needs. In this paper, we discuss considerations for intervening in men's mental health during and in response to the COVID-19 pandemic, including current technology-based cyberpsychology options.
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Affiliation(s)
- Jennifer M. Ellison
- Center for Research on Men’s Health, Vanderbilt University, Nashville, TN, USA
| | - Andrea R. Semlow
- Center for Research on Men’s Health, Vanderbilt University, Nashville, TN, USA
- Parkland Hospital and Health System, Dallas, TX, USA
| | - Emily C. Jaeger
- Center for Research on Men’s Health, Vanderbilt University, Nashville, TN, USA
| | - Derek M. Griffth
- Center for Research on Men’s Health, Vanderbilt University, Nashville, TN, USA
- Center for Medicine, Health & Society, Vanderbilt University, Nashville, TN, USA
- Center for Men’s Health Equity, Racial Justice Institute, Georgetown University, Washington, D.C, USA
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29
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Gaur M, Aribandi V, Alambo A, Kursuncu U, Thirunarayan K, Beich J, Pathak J, Sheth A. Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS. PLoS One 2021; 16:e0250448. [PMID: 33999927 PMCID: PMC8128252 DOI: 10.1371/journal.pone.0250448] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 04/06/2021] [Indexed: 11/19/2022] Open
Abstract
Suicide is the 10th leading cause of death in the U.S (1999-2019). However, predicting when someone will attempt suicide has been nearly impossible. In the modern world, many individuals suffering from mental illness seek emotional support and advice on well-known and easily-accessible social media platforms such as Reddit. While prior artificial intelligence research has demonstrated the ability to extract valuable information from social media on suicidal thoughts and behaviors, these efforts have not considered both severity and temporality of risk. The insights made possible by access to such data have enormous clinical potential-most dramatically envisioned as a trigger to employ timely and targeted interventions (i.e., voluntary and involuntary psychiatric hospitalization) to save lives. In this work, we address this knowledge gap by developing deep learning algorithms to assess suicide risk in terms of severity and temporality from Reddit data based on the Columbia Suicide Severity Rating Scale (C-SSRS). In particular, we employ two deep learning approaches: time-variant and time-invariant modeling, for user-level suicide risk assessment, and evaluate their performance against a clinician-adjudicated gold standard Reddit corpus annotated based on the C-SSRS. Our results suggest that the time-variant approach outperforms the time-invariant method in the assessment of suicide-related ideations and supportive behaviors (AUC:0.78), while the time-invariant model performed better in predicting suicide-related behaviors and suicide attempt (AUC:0.64). The proposed approach can be integrated with clinical diagnostic interviews for improving suicide risk assessments.
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Affiliation(s)
- Manas Gaur
- Artificial Intelligence Institute, University of South Carolina, Columbia, SC, United States of America
| | - Vamsi Aribandi
- Kno.e.sis Center, Wright State University, Dayton, OH, United States of America
| | - Amanuel Alambo
- Kno.e.sis Center, Wright State University, Dayton, OH, United States of America
| | - Ugur Kursuncu
- Artificial Intelligence Institute, University of South Carolina, Columbia, SC, United States of America
| | | | - Jonathan Beich
- Department of Psychiatry, Wright State University, Dayton, OH, United States of America
| | - Jyotishman Pathak
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States of America
| | - Amit Sheth
- Kno.e.sis Center, Wright State University, Dayton, OH, United States of America
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30
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Maric V, Mishra J, Ramanathan DS. Using Mind-Body Medicine to Reduce the Long-Term Health Impacts of COVID-Specific Chronic Stress. Front Psychiatry 2021; 12:585952. [PMID: 33692706 PMCID: PMC7937927 DOI: 10.3389/fpsyt.2021.585952] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 02/01/2021] [Indexed: 12/19/2022] Open
Affiliation(s)
- Vojislav Maric
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Jyoti Mishra
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Dhakshin S Ramanathan
- Neural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.,Department of Mental Health, Veteran's Affairs San Diego Medical Center, San Diego, CA, United States
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31
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Alon N, Stern AD, Torous J. Assessing the Food and Drug Administration's Risk-Based Framework for Software Precertification With Top Health Apps in the United States: Quality Improvement Study. JMIR Mhealth Uhealth 2020; 8:e20482. [PMID: 32927429 PMCID: PMC7652687 DOI: 10.2196/20482] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 07/07/2020] [Accepted: 07/22/2020] [Indexed: 12/13/2022] Open
Abstract
Background As the development of mobile health apps continues to accelerate, the need to implement a framework that can standardize the categorization of these apps to allow for efficient yet robust regulation is growing. However, regulators and researchers are faced with numerous challenges, as apps have a wide variety of features, constant updates, and fluid use cases for consumers. As past regulatory efforts have failed to match the rapid innovation of these apps, the US Food and Drug Administration (FDA) has proposed that the Software Precertification (Pre-Cert) Program and a new risk-based framework could be the solution. Objective This study aims to determine whether the risk-based framework proposed by the FDA’s Pre-Cert Program could standardize categorization of top health apps in the United States. Methods In this quality improvement study during summer 2019, the top 10 apps for 6 disease conditions (addiction, anxiety, depression, diabetes, high blood pressure, and schizophrenia) in Apple iTunes and Android Google Play Store in the United States were classified using the FDA’s risk-based framework. Data on the presence of well-defined app features, user engagement methods, popularity metrics, medical claims, and scientific backing were collected. Results The FDA’s risk-based framework classifies an app’s risk by the disease condition it targets and what information that app provides. Of the 120 apps tested, 95 apps were categorized as targeting a nonserious health condition, whereas only 7 were categorized as targeting a serious condition and 18 were categorized as targeting a critical condition. As the majority of apps targeted a nonserious condition, their risk categorization was largely determined by the information they provided. The apps that were assessed as not requiring FDA review were more likely to be associated with the integration of external devices than those assessed as requiring FDA review (15/58, 26% vs 5/62, 8%; P=.03) and health information collection (24/58, 41% vs 9/62, 15%; P=.008). Apps exempt from the review were less likely to offer health information (25/58, 43% vs 45/62, 72%; P<.001), to connect users with professional care (7/58, 12% vs 14/62, 23%; P=.04), and to include an intervention (8/58, 14% vs 35/62, 55%; P<.001). Conclusions The FDA’s risk-based framework has the potential to improve the efficiency of the regulatory review process for health apps. However, we were unable to identify a standard measure that differentiated apps requiring regulatory review from those that would not. Apps exempt from the review also carried concerns regarding privacy and data security. Before the framework is used to assess the need for a formal review of digital health tools, further research and regulatory guidance are needed to ensure that the Pre-Cert Program operates in the greatest interest of public health.
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Affiliation(s)
- Noy Alon
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| | | | - John Torous
- Beth Israel Deaconess Medical Center, Boston, MA, United States
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32
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Li X, Liu Q. Social Media Use, eHealth Literacy, Disease Knowledge, and Preventive Behaviors in the COVID-19 Pandemic: Cross-Sectional Study on Chinese Netizens. J Med Internet Res 2020; 22:e19684. [PMID: 33006940 PMCID: PMC7581310 DOI: 10.2196/19684] [Citation(s) in RCA: 127] [Impact Index Per Article: 31.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 06/10/2020] [Accepted: 09/23/2020] [Indexed: 01/17/2023] Open
Abstract
Background Since its outbreak in January 2020, COVID-19 has quickly spread worldwide and has become a global pandemic. Social media platforms have been recognized as important tools for health-promoting practices in public health, and the use of social media is widespread among the public. However, little is known about the effects of social media use on health promotion during a pandemic such as COVID-19. Objective In this study, we aimed to explore the predictive role of social media use on public preventive behaviors in China during the COVID-19 pandemic and how disease knowledge and eHealth literacy moderated the relationship between social media use and preventive behaviors. Methods A national web-based cross-sectional survey was conducted by a proportionate probability sampling among 802 Chinese internet users (“netizens”) in February 2020. Descriptive statistics, Pearson correlations, and hierarchical multiple regressions were employed to examine and explore the relationships among all the variables. Results Almost half the 802 study participants were male (416, 51.9%), and the average age of the participants was 32.65 years. Most of the 802 participants had high education levels (624, 77.7%), had high income >¥5000 (US $736.29) (525, 65.3%), were married (496, 61.8%), and were in good health (486, 60.6%). The average time of social media use was approximately 2 to 3 hours per day (mean 2.34 hours, SD 1.11), and the most frequently used media types were public social media (mean score 4.49/5, SD 0.78) and aggregated social media (mean score 4.07/5, SD 1.07). Social media use frequency (β=.20, P<.001) rather than time significantly predicted preventive behaviors for COVID-19. Respondents were also equipped with high levels of disease knowledge (mean score 8.15/10, SD 1.43) and eHealth literacy (mean score 3.79/5, SD 0.59). Disease knowledge (β=.11, P=.001) and eHealth literacy (β=.27, P<.001) were also significant predictors of preventive behaviors. Furthermore, eHealth literacy (P=.038) and disease knowledge (P=.03) positively moderated the relationship between social media use frequency and preventive behaviors, while eHealth literacy (β=.07) affected this relationship positively and disease knowledge (β=–.07) affected it negatively. Different social media types differed in predicting an individual’s preventive behaviors for COVID-19. Aggregated social media (β=.22, P<.001) was the best predictor, followed by public social media (β=.14, P<.001) and professional social media (β=.11, P=.002). However, official social media (β=.02, P=.597) was an insignificant predictor. Conclusions Social media is an effective tool to promote behaviors to prevent COVID-19 among the public. Health literacy is essential for promotion of individual health and influences the extent to which the public engages in preventive behaviors during a pandemic. Our results not only enrich the theoretical paradigm of public health management and health communication but also have practical implications in pandemic control for China and other countries.
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Affiliation(s)
- Xiaojing Li
- Center for Health and Medical Communication, School of Media & Communication, Shanghai Jiao Tong University, Shanghai, China
| | - Qinliang Liu
- Center for Health and Medical Communication, School of Media & Communication, Shanghai Jiao Tong University, Shanghai, China
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Kamel MM, Westenberg JN, Choi F, Tabi K, Badawy A, Ramy H, Elsawi H, Krausz M. Electronic Mental Health as an Option for Egyptian Psychiatry: Cross-Sectional Study. JMIR Ment Health 2020; 7:e19591. [PMID: 32788155 PMCID: PMC7453323 DOI: 10.2196/19591] [Citation(s) in RCA: 6] [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: 04/24/2020] [Revised: 05/24/2020] [Accepted: 06/12/2020] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Egypt is a country of nearly 100 million citizens, and there are less than 1000 registered psychiatrists. The mental health care system is under resourced and nearly inaccessible for the majority of the population. In addition, youth under the age of 25 years represent 50% of Egyptian citizens; however, there are no specific services addressing their unique needs. How can the needs of the largest population in the Middle East be effectively addressed? Is a web-based framework an option for Egyptian psychiatrists to serve the population? OBJECTIVE The aims of this study were to better understand the opinions of psychiatrists on the current state of mental health care services in Egypt and their current knowledge on electronic mental health (EMH); assess the attitudes of Egyptian psychiatrists toward web-based interventions and telemedicine for mental health; and identify perceived advantages and barriers of EMH development in Egypt. METHODS A cross-sectional survey was conducted online among 640 Egyptian psychiatrists. It included a total of 36 items within a set of 16 questions asking about EMH literacy, integrating EMH into the mental health care system, and the perceived priorities and barriers of EMH. The sampling was supported by Tanta University, a large academic institution close to Cairo. Statistical analysis was performed using SPSS 25 (IBM Corp). Descriptive statistics, the chi-square test, the independent sample t test, and analysis of variance were applied. RESULTS A total of 188 participants responded (response rate of 29.4%), of which 54.2% (102/188) were female and 54.3% (102/188) were between 30 and 45 years old. Less than half of the participants thought that the current health care system was efficient for adults (69/155, 44.4%), and even less thought it was efficient for youth (44/155, 28.3%). Almost all participants agreed that EMH would be beneficial for patient care (147/155, 94.8%) and that integrating EMH into the current health care system would be a good idea (118/155, 76.2%). The highest rated utility of web-based solutions was documentation, followed by psychoeducation and communication with professionals. The main advantages were to improve access to care in rural areas of the country and its convenience. CONCLUSIONS There is scarcity of mental health resources in Egypt. Egyptian psychiatrists are interested in EMH and believe web-based platforms can become part of the solution for the Egyptian mental health care system.
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Affiliation(s)
- Mostafa Mamdouh Kamel
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,Department of Psychiatry, Tanta University, Tanta, Egypt
| | | | - Fiona Choi
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Katarina Tabi
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,Healthy Minds Centre, BC Children's Hospital, Vancouver, BC, Canada
| | - Adel Badawy
- Department of Psychiatry, Tanta University, Tanta, Egypt
| | - Hisham Ramy
- Institute of Psychiatry, Ain Shams University, Cairo, Egypt
| | - Hossam Elsawi
- Department of Psychiatry, Tanta University, Tanta, Egypt
| | - Michael Krausz
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
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Kornfield R, Zhang R, Nicholas J, Schueller SM, Cambo SA, Mohr DC, Reddy M. "Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression. PROCEEDINGS OF THE SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS. CHI CONFERENCE 2020; 2020:10.1145/3313831.3376309. [PMID: 33585841 PMCID: PMC7877799 DOI: 10.1145/3313831.3376309] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
While the HCI field increasingly examines how digital tools can support individuals in managing mental health conditions, it remains unclear how these tools can accommodate these conditions' temporal aspects. Based on weekly interviews with five individuals with depression, conducted over six weeks, this study identifies design opportunities and challenges related to extending technology-based support across fluctuating symptoms. Our findings suggest that participants perceive events and contexts in daily life to have marked impact on their symptoms. Results also illustrate that ebbs and flows in symptoms profoundly affect how individuals practice depression self-management. While digital tools often aim to reach individuals while they feel depressed, we suggest they should also engage individuals when they are less symptomatic, leveraging their energy and motivation to build habits, establish plans and goals, and generate and organize content to prepare for symptom onset.
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Affiliation(s)
| | | | - Jennifer Nicholas
- Northwestern University Chicago, IL, USA
- University of Melbourne Melbourne, Australia
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Muroff J, Robinson W. Tools of Engagement: Practical Considerations for Utilizing Technology-Based Tools in CBT Practice. COGNITIVE AND BEHAVIORAL PRACTICE 2020. [DOI: 10.1016/j.cbpra.2020.01.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Passive objective measures in the assessment of problematic smartphone use: A systematic review. Addict Behav Rep 2020; 11:100257. [PMID: 32467846 PMCID: PMC7244920 DOI: 10.1016/j.abrep.2020.100257] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Revised: 01/16/2020] [Accepted: 01/25/2020] [Indexed: 12/17/2022] Open
Abstract
Research focussing on problematic smartphone use has predominantly employed psychometric tests which cannot capture the automatic processes and behaviours associated with problematic use. The present review aimed to identify passive objective measures that have been used or developed to assess problematic smartphone use. A systematic search was conducted using Web of Science, Scopus, PsychInfo and PubMed databases to identify passive objective measures that have been employed to assess problematic smartphone use, resulting in 18 studies meeting the inclusion criteria. Objective data that were monitored predominantly focussed on general screen usage time and checking patterns. Findings demonstrate that passive monitoring can enable smartphone usage patterns to be inferred within a relatively short timeframe and provide ecologically valid data on smartphone behaviour. Challenges and recommendations of employing passive objective measures in smartphone-based research are discussed.
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