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Koob C, Stuenkel M, Gagnon RJ, Griffin SF, Sease K. Examining Patient- and Community-Level Factors Associated with Pediatric Mental Healthcare Access Within a Patient Navigation Program. Community Ment Health J 2024; 60:1055-1067. [PMID: 38507129 PMCID: PMC11199227 DOI: 10.1007/s10597-024-01258-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 02/18/2024] [Indexed: 03/22/2024]
Abstract
In 2021, national leaders in the United States declared a "national youth mental health crisis." Still, only 1-in-4 children receive adequate mental healthcare access. Patient Navigator Programs (PNPs) can improve children's referral-to-connection to mental health services. We examined patient- and community-level factors associated with pediatric mental healthcare access. Pediatric Support Services (PSS) is a PNP that triages mental and behavioral health referrals within a large health system in a southeastern state. This study analyzes PSS data from September 2017-March 2023 and Child Opportunity Index 2.0 state-normed zip-code level data to assess social drivers of health estimates. Structural equation modeling was conducted between patient- and community-level factors and connection to mental health services. Overall, 62.7% of children connected to mental health services since PSS' inception. Regardless of SDOH, as children get older, they are more likely to connect with mental health services (β = .053, SE = .010, p < .001). Children with greater number of referral needs are more likely to connect with mental health services (β = .034, SE = .011, p = .002). Further, children who live in communities with higher opportunity levels are more likely to connect with mental health services (β = .016, SE = .008, p = .040), suggesting that children who live in low-income communities experience more barriers to mental healthcare. Social drivers may inform referral practices and tiered navigation support for optimal mental healthcare access among children. Further research should demonstrate the effectiveness of PNPs integrated within healthcare and community-based settings.
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Affiliation(s)
- Caitlin Koob
- Department of Public Health Sciences, Clemson University, 501 Edwards Hall, Clemson, SC, 29634, USA.
- Prisma Health Children's Hospital-Upstate, Greenville, SC, USA.
| | | | - Ryan J Gagnon
- Department of Parks, Recreation, Tourism, and Management, Clemson University, Clemson, SC, USA
| | - Sarah F Griffin
- Department of Public Health Sciences, Clemson University, 501 Edwards Hall, Clemson, SC, 29634, USA
| | - Kerry Sease
- Prisma Health Children's Hospital-Upstate, Greenville, SC, USA
- University of South Carolina School of Medicine Greenville, Greenville, SC, USA
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2
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Linardon J, Firth J, Torous J, Messer M, Fuller-Tyszkiewicz M. Efficacy of mental health smartphone apps on stress levels: a meta-analysis of randomised controlled trials. Health Psychol Rev 2024:1-14. [PMID: 39041586 DOI: 10.1080/17437199.2024.2379784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 07/09/2024] [Indexed: 07/24/2024]
Abstract
The management of stress has evolved in recent years due to widespread availability of mobile-device applications (apps) and their capacity to deliver psychological interventions. We evaluated the efficacy of mental health apps on stress and sought to identify characteristics associated with effect size estimates. Sixty-nine randomised controlled trials (RCTs) were included. Random effects meta-analyses were performed and putative moderators were examined at univariate and multivariate (combinations and interactions) levels. From 78 comparisons, we observed a small but significant pooled effect of apps over control conditions on perceived stress levels (g = 0.27; 95% CI = 0.20, 0.34; I2 = 68%). This effect weakened after taking into account small-study bias according to the trim-and-fill procedure (g = 0.10; 95% CI = 0.02, 0.19; I2 = 78%). Delivery of apps with stress monitoring features produced smaller efficacy estimates, although this association interacted with other trial features (small sample size and inactive control group) in multivariate analyses, suggesting that this effect may have been explained by features characteristic of low-quality trials. Mental health apps appear to have small, acute effects on reducing perceived stress. Future research should shift focus towards identifying change mechanisms, longitudinal outcomes, features that facilitate sustained app usage, and tangible pathways to integrating apps into real-world clinical settings.
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Affiliation(s)
- Jake Linardon
- School of Psychology, Deakin University, Geelong, Australia
- Center for Social and Early Emotional Development, Deakin University, Burwood, Australia
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Manchester Academic Health Science Centre, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Mariel Messer
- School of Psychology, Deakin University, Geelong, Australia
| | - Matthew Fuller-Tyszkiewicz
- School of Psychology, Deakin University, Geelong, Australia
- Center for Social and Early Emotional Development, Deakin University, Burwood, Australia
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3
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Jaiswal A, Shah A, Harjadi C, Windgassen E, Washington P. Ethics of the Use of Social Media as Training Data for AI Models Used for Digital Phenotyping. JMIR Form Res 2024; 8:e59794. [PMID: 39018549 DOI: 10.2196/59794] [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: 04/22/2024] [Revised: 06/08/2024] [Accepted: 06/10/2024] [Indexed: 07/19/2024] Open
Abstract
Digital phenotyping, or personal sensing, is a field of research that seeks to quantify traits and characteristics of people using digital technologies, usually for health care purposes. In this commentary, we discuss emerging ethical issues regarding the use of social media as training data for artificial intelligence (AI) models used for digital phenotyping. In particular, we describe the ethical need for explicit consent from social media users, particularly in cases where sensitive information such as labels related to neurodiversity are scraped. We also advocate for the use of community-based participatory design principles when developing health care AI models using social media data.
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Affiliation(s)
- Aditi Jaiswal
- Department of Information and Computer Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
| | - Aekta Shah
- Salesforce, San Francisco, CA, United States
| | - Christopher Harjadi
- Department of Computer Science, University of California, Berkeley, Berkeley, CA, United States
| | - Erik Windgassen
- Department of Computer Science and Engineering, University of California, Riverside, Riverside, CA, United States
| | - Peter Washington
- Department of Information and Computer Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
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4
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Luo X, Zhang A, Li Y, Zhang Z, Ying F, Lin R, Yang Q, Wang J, Huang G. Emergence of Artificial Intelligence Art Therapies (AIATs) in Mental Health Care: A Systematic Review. Int J Ment Health Nurs 2024. [PMID: 39020473 DOI: 10.1111/inm.13384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 05/26/2024] [Accepted: 06/11/2024] [Indexed: 07/19/2024]
Abstract
The application of artificial intelligence art therapies (AIATs) in mental health care represents an innovative merger between digital technology and the therapeutic potential of creative arts. This systematic review aimed to assess the effectiveness and ethical considerations of AIATs, incorporating robots, AI painting and AI Chatbots to augment traditional art therapies. Aligning with the Preferred Reporting Items for systematic reviews (PRISMA) guidelines, we meticulously searched PubMed, Cochrane Library, Web of Science and CNKI, resulting in 15 selected articles for detailed analysis. To ensure methodological quality, we applied the Joanna Briggs Institute (JBI) criteria for quality assessment and extracted data using the PICO(S) format, specifically targeting randomised controlled trials (RCTs). Our findings suggest that AIATs can profoundly enhance the therapeutic experience by providing new creative outlets and reinforcing existing methods, despite possible drawbacks and ethical challenges. This examination underscores AIATs' potential to enrich mental health therapies, emphasising the critical importance of ethical considerations and the responsible application of AI as the field evolves. With a focus on expanding treatment efficacy and patient expressiveness, the promise of AIATs in mental health care necessitates a careful balance between innovation and ethical responsibility. Trial Registration: PROSPERO: CRD42024504472.
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Affiliation(s)
- Xuexing Luo
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
| | - Aijia Zhang
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
| | - Yu Li
- State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau
- Faculty of Chinese Medicine, Macau University of Science and Technology, Taipa, Macau
| | - Zheyu Zhang
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
| | - Fangtian Ying
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
- Zhejiang University, Hangzhou, China
| | - Runqing Lin
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
| | - Qianxu Yang
- Department of Social and Preventive Medicine, Faculty of Medicine, Centre for Epidemiology and Evidence-Based Practice, University of Malaya, Kuala Lumpur, Malaysia
| | - Jue Wang
- State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau
- Faculty of Chinese Medicine, Macau University of Science and Technology, Taipa, Macau
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China
| | - Guanghui Huang
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
- Zhuhai M.U.S.T. Science and Technology Research Institute, Macau University of Science and Technology, Taipa, Macau
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5
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Masanneck L, Stern AD. Tracing Digital Therapeutics Research Across Medical Specialties: Evidence from ClinicalTrials.gov. Clin Pharmacol Ther 2024; 116:177-185. [PMID: 38563641 DOI: 10.1002/cpt.3260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/18/2024] [Indexed: 04/04/2024]
Abstract
Digital therapeutics (DTx), evidence-based software interventions for preventing, managing, or treating medical disorders, have rapidly evolved with healthcare's shift toward online, patient-centric solutions. This study scrutinizes DTx clinical trials from 2005 to 2022, analyzing their growth, funding, underlying medical specialties, and other R&D characteristics, using ClinicalTrials.gov data. Our analysis includes trials categorized via the ICD-11 system, covering active, recruiting, or completed studies and considering trials listing multiple conditions. In analyzing 5,889 registered DTx trials, we document a more than five-fold increase in such trials since 2011, and a compound annual growth rate of 22.82% since 2005. While most trials were single-center, the median number of study subjects increased in recent years, driven by larger interventional trials. The key disciplines driving this growth were psychiatry, neurology, oncology, and endocrinology. Mental health dominated DTx trials in recent years, led by neurocognitive disorders, substance abuse disorders, and mood disorders. Industry funding varied across disciplines and was particularly high in visual system diseases and dermatology. DTx trials have surged since 2005, accelerated by recent growth in mental health trials. These trends mirror developments toward remote healthcare delivery, amplified by digital health investments during the COVID-19 pandemic. Growing numbers of participants in DTx trials point to increased demand for more robust trials. However, because most trials are single-center and country-specific, more international cooperation and harmonized evaluation standards will be essential for DTx trials to become more efficient and provide validation across countries, health systems, and groups of individuals.
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Affiliation(s)
- Lars Masanneck
- Department of Neurology, Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany
- Digital Health Cluster, Hasso-Plattner Institute, Potsdam, Germany
| | - Ariel D Stern
- Digital Health Cluster, Hasso-Plattner Institute, Potsdam, Germany
- Technology and Operations Management Unit, Harvard Business School, Boston, Massachusetts, USA
- Harvard-MIT Center for Regulatory Science, Boston, Massachusetts, USA
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6
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Bird M, O'Neill E, Riches S. Digitally Enhanced Psychological Assessment and Treatment of Paranoia: A Systematic Review. Clin Psychol Psychother 2024; 31:e3019. [PMID: 38940680 DOI: 10.1002/cpp.3019] [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: 02/21/2024] [Revised: 05/20/2024] [Accepted: 05/28/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND Paranoia is relatively common but can lead to significant distress, impairment and need for care. Digital technologies offer a valuable extension to service provision and are increasingly being integrated into healthcare. This systematic review evaluated feasibility, acceptability, and effectiveness of digitally enhanced psychological assessments and treatments for paranoia across the paranoia continuum (PROSPERO: CRD42023393257). METHODS Databases PsychINFO, EMBASE, MEDLINE and Web of Science were searched until 12 June 2023; the Effective Public Health Practice Project (EPHPP) quality assessment tool evaluated studies; and a narrative synthesis was conducted. RESULTS Twenty-seven studies met inclusion criteria (n = 3457, 23 assessment and 4 treatment, 2005-2023, most in Europe). Technologies included virtual reality (VR, n = 23), experience sampling methodology (ESM, n = 2), an app (n = 1) and a combination of VR and ESM (n = 1). Assessments involved monitoring paranoia under various virtual conditions or in everyday life. Treatments were generally integrated with Cognitive Behaviour Therapy (CBT), which involved using VR to test out threat beliefs and drop safety behaviours or using an app to support slowing down paranoid thinking. EPHPP ratings were strong (n = 8), moderate (n = 12) and weak (n = 7). CONCLUSIONS Digitally enhanced assessments and treatments showed promising acceptability, feasibility and treatment effectiveness. Limitations of studies include small sample sizes, lack of comparison groups and long-term data and limited randomised controlled trials. Results support the potential future integration of VR in the assessment of paranoia and show promise for treatments such as CBT, although further clinical trials are required. Investigation of other technologies is limited.
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Affiliation(s)
- Molly Bird
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Psychology and Psychotherapy, South London and Maudsley NHS Foundation Trust, London, UK
| | - Emma O'Neill
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Psychology and Psychotherapy, South London and Maudsley NHS Foundation Trust, London, UK
| | - Simon Riches
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Psychology and Psychotherapy, South London and Maudsley NHS Foundation Trust, London, UK
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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7
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D’Adamo L, Grammer AC, Rackoff GN, Shah J, Firebaugh ML, Taylor CB, Wilfley DE, Fitzsimmons-Craft EE. Rates and correlates of study enrolment and use of a chatbot aimed to promote mental health services use for eating disorders following online screening. EUROPEAN EATING DISORDERS REVIEW 2024; 32:748-757. [PMID: 38502605 PMCID: PMC11144085 DOI: 10.1002/erv.3082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 02/19/2024] [Accepted: 02/24/2024] [Indexed: 03/21/2024]
Abstract
OBJECTIVE We developed a chatbot aimed to facilitate mental health services use for eating disorders (EDs) and offered the opportunity to enrol in a research study and use the chatbot to all adult respondents to a publicly available online ED screen who screened positive for clinical/subclinical EDs and reported not currently being in treatment. We examined the rates and correlates of enrolment in the study and uptake of the chatbot. METHOD Following screening, eligible respondents (≥18 years, screened positive for a clinical/subclinical ED, not in treatment for an ED) were shown the study opportunity. Chi-square tests and logistic regressions explored differences in demographics, ED symptoms, suicidality, weight, and probable ED diagnoses between those who enroled and engaged with the chatbot versus those who did not. RESULTS 6747 respondents were shown the opportunity (80.0% of all adult screens). 3.0% enroled, of whom 90.2% subsequently used the chatbot. Enrolment and chatbot uptake were more common among respondents aged ≥25 years old versus those aged 18-24 and less common among respondents who reported engaging in regular dietary restriction. CONCLUSIONS Overall enrolment was low, yet uptake was high among those that enroled and did not differ across most demographics and symptom presentations. Future directions include evaluating respondents' attitudes towards treatment-promoting tools and removing barriers to uptake.
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Affiliation(s)
- Laura D’Adamo
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Center for Weight, Eating, and Lifestyle Science (WELL Center) and Department of Psychological and Brain Sciences, Philadelphia, PA, USA
| | - Anne Claire Grammer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Gavin N. Rackoff
- Department of Psychology, The Pennsylvania State University, University Park, PA, USA
| | - Jillian Shah
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Marie-Laure Firebaugh
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - C. Barr Taylor
- Center for m2Health, Palo Alto University, Palo Alto, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Denise E. Wilfley
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
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8
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Davies JN, Faschinger A, Galante J, Van Dam NT. Prevalence and 20-year trends in meditation, yoga, guided imagery and progressive relaxation use among US adults from 2002 to 2022. Sci Rep 2024; 14:14987. [PMID: 38951149 PMCID: PMC11217305 DOI: 10.1038/s41598-024-64562-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 06/11/2024] [Indexed: 07/03/2024] Open
Abstract
Meditation, yoga, guided imagery, and progressive relaxation are promoted as complementary approaches for health and wellbeing in the United States, but their uptake by different sociodemographic groups is unclear. This study assessed the prevalence and 20 year trends in the use of these practices in US adults between 2002-2022. We examined practice use and associations with sociodemographic and health factors in a population-weighted analysis of n = 134,959 participants across 5 cycles of the National Health Interview Survey. The overall use of meditation (18.3%, 60.53 million), yoga (16.8%, 55.78 million) and guided imagery/progressive relaxation (6.7%, 22.22 million) increased significantly from 2002 to 2022. Growth was consistent across most sociodemographic and health strata, however users of 'Other' race (comprising 54% Indigenous Americans, Odds Ratios; ORs = 1.28-1.70) and users with moderate (ORs = 1.19-1.29) psychological distress were overrepresented across all practices, and those with severe psychological distress were overrepresented in meditation (OR = 1.33) and guided imagery/progressive relaxation (OR = 1.42). Meditation use has accelerated over time for 65 + year olds (OR = 4.22), people not accessing mental health care (OR = 1.39), and less educated (OR = 4.02) groups, potentially reflecting unmet health needs. Health professionals should consider the extensive use of complementary practices in service and treatment planning and consider their risks and benefits.
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Affiliation(s)
- Jonathan N Davies
- Contemplative Studies Centre, Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry, and Health Sciences, The University of Melbourne, Level 1, Melbourne Connect, 700 Swanston Street, Melbourne, VIC, 3010, Australia
| | - Anna Faschinger
- Contemplative Studies Centre, Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry, and Health Sciences, The University of Melbourne, Level 1, Melbourne Connect, 700 Swanston Street, Melbourne, VIC, 3010, Australia
| | - Julieta Galante
- Contemplative Studies Centre, Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry, and Health Sciences, The University of Melbourne, Level 1, Melbourne Connect, 700 Swanston Street, Melbourne, VIC, 3010, Australia
| | - Nicholas T Van Dam
- Contemplative Studies Centre, Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry, and Health Sciences, The University of Melbourne, Level 1, Melbourne Connect, 700 Swanston Street, Melbourne, VIC, 3010, Australia.
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9
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Kessing LV, Tønning ML, Busk J, Rohani D, Frost M, Bardram JE, Faurholt-Jepsen M. Mood instability in patients with unipolar depression measured using smartphones and the association with measures of wellbeing, recovery and functioning. Nord J Psychiatry 2024:1-7. [PMID: 38905155 DOI: 10.1080/08039488.2024.2369179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 06/12/2024] [Indexed: 06/23/2024]
Abstract
OBJECTIVE While mood instability is strongly linked to depression, its ramifications remain unexplored. In patients diagnosed with unipolar depression (UD), our objective was to investigate the association between mood instability, calculated based on daily smartphone-based patient-reported data on mood, and functioning, quality of life, perceived stress, empowerment, rumination, recovery, worrying and wellbeing. METHODS Patients with UD completed daily smartphone-based self-assessments of mood for 6 months, making it possible to calculate mood instability using the Root Mean Squared Successive Difference (rMSSD) method. A total of 59 patients with UD were included. Data were analyzed using mixed effects regression models. RESULTS There was a statistically significant association between increased mood instability and increased perceived stress (adjusted model: B: 0.010, 95% CI: 0.00027; 0.021, p = 0.044), and worrying (adjusted model: B: 0.0060, 95% CI: 0.000016; 0.012, p = 0.049), and decreased quality of life (adjusted model: B: -0.0056, 95% CI: -0.011; -0.00028, p = 0.039), recovery (adjusted model: B: -0.032, 95% CI: -0.0059; -0.00053, p = 0.019) and wellbeing. There were no statistically significant associations between mood instability and functioning, empowerment, and rumination (p's >0.09). CONCLUSION These findings underscore the significant influence of mood instability on patients' daily lives. Identification of mood fluctuations offer potential insights into the trajectory of the illness in these individuals.
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Affiliation(s)
- Lars Vedel Kessing
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Frederiksberg, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Morten Lindberg Tønning
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Frederiksberg, Denmark
| | - Jonas Busk
- Department of Energy Conversion and Storage, Technical University of Denmark, Lyngby, Denmark
| | | | | | - Jakob Eyvind Bardram
- Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Maria Faurholt-Jepsen
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Frederiksberg, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Swartz HA, Bylsma Ph D LM. Should Psychotherapy Be Approved and Prescribed Like a Drug? Am J Psychother 2024; 77:43-45. [PMID: 38877754 DOI: 10.1176/appi.psychotherapy.20240015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2024]
Affiliation(s)
- Holly A Swartz
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh
| | - Lauren M Bylsma Ph D
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh
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11
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Zhang F, Liu X, Wu W, Zhu S. Evolution of Chatbots in Nursing Education: Narrative Review. JMIR MEDICAL EDUCATION 2024; 10:e54987. [PMID: 38889074 PMCID: PMC11186796 DOI: 10.2196/54987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 05/16/2024] [Accepted: 05/22/2024] [Indexed: 06/20/2024]
Abstract
Background The integration of chatbots in nursing education is a rapidly evolving area with potential transformative impacts. This narrative review aims to synthesize and analyze the existing literature on chatbots in nursing education. Objective This study aims to comprehensively examine the temporal trends, international distribution, study designs, and implications of chatbots in nursing education. Methods A comprehensive search was conducted across 3 databases (PubMed, Web of Science, and Embase) following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram. Results A total of 40 articles met the eligibility criteria, with a notable increase of publications in 2023 (n=28, 70%). Temporal analysis revealed a notable surge in publications from 2021 to 2023, emphasizing the growing scholarly interest. Geographically, Taiwan province made substantial contributions (n=8, 20%), followed by the United States (n=6, 15%) and South Korea (n=4, 10%). Study designs varied, with reviews (n=8, 20%) and editorials (n=7, 18%) being predominant, showcasing the richness of research in this domain. Conclusions Integrating chatbots into nursing education presents a promising yet relatively unexplored avenue. This review highlights the urgent need for original research, emphasizing the importance of ethical considerations.
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Affiliation(s)
- Fang Zhang
- Department of Science and Education, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, China
| | - Xiaoliu Liu
- Medical Laboratory of Shenzhen Luohu People’s Hospital, Shenzhen, China
| | - Wenyan Wu
- Medical Laboratory of Shenzhen Luohu People’s Hospital, Shenzhen, China
| | - Shiben Zhu
- School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China
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12
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Li SW, Kietzman HW, Taylor JR, Chang SWC. The Evolving Landscape of Social Neuroscience and Its Implications for Psychiatry. Biol Psychiatry 2024:S0006-3223(24)01384-2. [PMID: 38878810 DOI: 10.1016/j.biopsych.2024.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 06/03/2024] [Accepted: 06/09/2024] [Indexed: 06/25/2024]
Affiliation(s)
- S William Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Henry W Kietzman
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Jane R Taylor
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Department of Psychology, Yale University, New Haven, Connecticut; Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut
| | - Steve W C Chang
- Department of Psychology, Yale University, New Haven, Connecticut; Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut.
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13
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Bucci S, Berry N, Ainsworth J, Berry K, Edge D, Eisner E, Emsley R, Forbes G, Hassan L, Lewis S, Machin M, Haddock G. Effects of Actissist, a digital health intervention for early psychosis: A randomized clinical trial. Psychiatry Res 2024; 339:116025. [PMID: 38870774 DOI: 10.1016/j.psychres.2024.116025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/21/2024] [Accepted: 06/10/2024] [Indexed: 06/15/2024]
Abstract
Schizophrenia affects 24 million people worldwide. Digital health interventions drawing on psychological principles have been developed, but their effectiveness remains unclear. This parallel, assessor-blinded, randomized clinical trial aimed to investigate whether a cognitive behaviour therapy-informed digital health intervention (Actissist app) confers added benefit on psychotic symptoms over and above remote symptom monitoring (ClinTouch app). Participants recruited from UK community health services were randomized 1:1 to receive either Actissist plus treatment as usual (TAU) or ClinTouch plus TAU. Eligible participants were adults with schizophrenia-spectrum psychosis within five years of first episode onset meeting a criterion level of positive symptoms severity. The primary outcome was Positive and Negative Syndrome Scale (PANSS) symptoms total score at 12 weeks post-randomization. Intention-to-treat analysis included 172 participants, with 149 participants (86.6 %) providing primary outcome data. Actissist plus TAU was not associated with greater reduction than an active control remote symptom monitoring app (ClinTouch) in PANSS total score at post-randomization. There were no significant effects between groups across secondary measures. There were no serious adverse reactions. Both groups improved on the primary psychotic symptoms measure at primary end-point and on secondary measures over time. The Actissist app is safe but not superior to digital symptom monitoring.
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Affiliation(s)
- Sandra Bucci
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, School of Health Sciences, Manchester, UK; Department of Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.
| | - Natalie Berry
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, School of Health Sciences, Manchester, UK
| | - John Ainsworth
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Health Sciences, University of Manchester, Manchester, UK
| | - Katherine Berry
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, School of Health Sciences, Manchester, UK; Department of Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Dawn Edge
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, School of Health Sciences, Manchester, UK; Department of Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Emily Eisner
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, School of Health Sciences, Manchester, UK; Department of Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, Psychology and Neuroscience, King's College London, Institute of Psychiatry, London, UK
| | - Gordon Forbes
- Department of Biostatistics and Health Informatics, Psychology and Neuroscience, King's College London, Institute of Psychiatry, London, UK
| | - Lamiece Hassan
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, School of Health Sciences, Manchester, UK
| | - Shôn Lewis
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, School of Health Sciences, Manchester, UK; Department of Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Matthew Machin
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Health Sciences, University of Manchester, Manchester, UK
| | - Gillian Haddock
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, School of Health Sciences, Manchester, UK; Department of Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
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Sawyer C, Carney R, Hassan L, Bucci S, Sainsbury J, Lovell K, Torous J, Firth J. Digital Lifestyle Interventions for Young People With Mental Illness: A Qualitative Study Among Mental Health Care Professionals. JMIR Hum Factors 2024; 11:e53406. [PMID: 38837191 PMCID: PMC11187511 DOI: 10.2196/53406] [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: 11/17/2023] [Revised: 03/04/2024] [Accepted: 03/16/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND Given the physical health disparities associated with mental illness, targeted lifestyle interventions are required to reduce the risk of cardiometabolic disease. Integrating physical health early in mental health treatment among young people is essential for preventing physical comorbidities, reducing health disparities, managing medication side effects, and improving overall health outcomes. Digital technology is increasingly used to promote fitness, lifestyle, and physical health among the general population. However, using these interventions to promote physical health within mental health care requires a nuanced understanding of the factors that affect their adoption and implementation. OBJECTIVE Using a qualitative design, we explored the attitudes of mental health care professionals (MHCPs) toward digital technologies for physical health with the goal of illuminating the opportunities, development, and implementation of the effective use of digital tools for promoting healthier lifestyles in mental health care. METHODS Semistructured interviews were conducted with MHCPs (N=13) using reflexive thematic analysis to explore their experiences and perspectives on using digital health to promote physical health in youth mental health care settings. RESULTS Three overarching themes from the qualitative analysis are reported: (1) motivation will affect implementation, (2) patients' readiness and capability, and (3) reallocation of staff roles and responsibilities. The subthemes within, and supporting quotes, are described. CONCLUSIONS The use of digital means presents many opportunities for improving the provision of physical health interventions in mental health care settings. However, given the limited experience of many MHCPs with these technologies, formal training and additional support may improve the likelihood of implementation. Factors such as patient symptomatology, safety, and access to technology, as well as the readiness, acceptability, and capability of both MHCPs and patients to engage with digital tools, must also be considered. In addition, the potential benefits of data integration must be carefully weighed against the associated risks.
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Affiliation(s)
- Chelsea Sawyer
- Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom
| | - Rebekah Carney
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Lamiece Hassan
- Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom
| | - Sandra Bucci
- Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom
| | - John Sainsbury
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Karina Lovell
- Division of Nursing, Midwifery & Social Work, University of Manchester, Manchester, United Kingdom
| | - John Torous
- Beth Israel Deaconness Medical Centre, Harvard Medical School, Boston, MA, United States
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom
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Jayasinghe YA, Kanmodi KK, Jayasinghe RM, Jayasinghe RD. Assessment of patterns and related factors in using social media platforms to access health and oral health information among Sri Lankan adults, with special emphasis on promoting oral health awareness. BMC Public Health 2024; 24:1472. [PMID: 38824505 PMCID: PMC11143610 DOI: 10.1186/s12889-024-19008-5] [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: 11/26/2023] [Accepted: 05/30/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND Social media has evolved beyond its conventional purpose of communication and information sharing to become a potent tool for disseminating health and oral health awareness. This study seeks to assess the patterns and related factors of using social media platforms to access health and oral health information among Sri Lankan adults, with special emphasis to promotion of oral health awareness. METHODS In March 2023, individuals aged ≥ 18 years residing in Sri Lanka, who are users of social media participated in this electronic questionnaire-based survey. Statistical analyses of the collected data were done using the SPSS version 21 software, with a p-value of < 0.05 set to determine the level of statistical significance. RESULTS A total of 421 persons participated in this survey. Majority (68.4%) belonged to the age category of 18 to 30 years, and 55.5% were females. WhatsApp (96.8%) was the most frequently used social media platform across all age groups and both genders. Statistically significant differences were identified between genders in the usage of Telegram, Twitter, and Viber within the 18-30 years age category, with a higher percentage of males using these platforms (p ≤ 0.05). Similar significant differences were observed in the 31-40 years age group for WhatsApp and Telegram (p ≤ 0.05). Among 95.4% of online health information seekers, YouTube (74.9%) was the most popular platform. One-quarter of the respondents preferred social media platforms, and 22.3% preferred websites for obtaining oral health information. Furthermore, 74.9% had positive opinions on obtaining oral health information via social media, while only 17% reported pleasant experiences with social media platforms for oral health promotion. In assessing the reliability of oral health information on social media, 48% relied on the quality of the information. The most preferred source of oral health information was short videos from professionals (43.1%). Additionally, 69.5% reported changes in their oral health behaviours after accessing information through social media. CONCLUSION Social media is a viable platform for promoting public oral health awareness in Sri Lankan; hence, workable strategies need to be employed, to further ensure its effective and wider use in a culturally and socioeconomically diverse country like Sri Lanka.
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Affiliation(s)
- Yovanthi Anurangi Jayasinghe
- Department of Oral Medicine and Periodontology, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
| | - Kehinde Kazeem Kanmodi
- School of Dentistry, University of Rwanda, Kigali, Rwanda.
- Faculty of Dentistry, University of Puthisastra, Phnom Penh, Cambodia.
- School of Health and Life Sciences, Teesside University, Middlesbrough, UK.
- Cephas Health Research Initiative Inc, Ibadan, Nigeria.
| | - Rasika Manori Jayasinghe
- Department of Prosthetic Dentistry, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka.
| | - Ruwan Duminda Jayasinghe
- Department of Oral Medicine and Periodontology, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka.
- Faculty of Dentistry, University of Puthisastra, Phnom Penh, Cambodia.
- School of Health and Life Sciences, Teesside University, Middlesbrough, UK.
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16
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Norris ML, Obeid N, El-Emam K. Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders. Int J Eat Disord 2024; 57:1357-1368. [PMID: 38597344 DOI: 10.1002/eat.24215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 03/22/2024] [Accepted: 03/22/2024] [Indexed: 04/11/2024]
Abstract
OBJECTIVE To provide a brief overview of artificial intelligence (AI) application within the field of eating disorders (EDs) and propose focused solutions for research. METHOD An overview and summary of AI application pertinent to EDs with focus on AI's ability to address issues relating to data sharing and pooling (and associated privacy concerns), data augmentation, as well as bias within datasets is provided. RESULTS In addition to clinical applications, AI can utilize useful tools to help combat commonly encountered challenges in ED research, including issues relating to low prevalence of specific subpopulations of patients, small overall sample sizes, and bias within datasets. DISCUSSION There is tremendous potential to embed and utilize various facets of artificial intelligence (AI) to help improve our understanding of EDs and further evaluate and investigate questions that ultimately seek to improve outcomes. Beyond the technology, issues relating to regulation of AI, establishing ethical guidelines for its application, and the trust of providers and patients are all needed for ultimate adoption and acceptance into ED practice. PUBLIC SIGNIFICANCE Artificial intelligence (AI) offers a promise of significant potential within the realm of eating disorders (EDs) and encompasses a broad set of techniques that offer utility in various facets of ED research and by extension delivery of clinical care. Beyond the technology, issues relating to regulation, establishing ethical guidelines for application, and the trust of providers and patients are needed for the ultimate adoption and acceptance of AI into ED practice.
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Affiliation(s)
- Mark L Norris
- Department of Pediatrics, Children's Hospital of Eastern Ontario (CHEO), University of Ottawa, Ottawa, Ontario, Canada
- CHEO Research Institute, Ottawa, Ontario, Canada
| | - Nicole Obeid
- CHEO Research Institute, Ottawa, Ontario, Canada
- Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada
| | - Khaled El-Emam
- CHEO Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
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17
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Newby D, Taylor N, Joyce DW, Winchester LM. Optimising the use of electronic medical records for large scale research in psychiatry. Transl Psychiatry 2024; 14:232. [PMID: 38824136 PMCID: PMC11144247 DOI: 10.1038/s41398-024-02911-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/13/2024] [Accepted: 04/15/2024] [Indexed: 06/03/2024] Open
Abstract
The explosion and abundance of digital data could facilitate large-scale research for psychiatry and mental health. Research using so-called "real world data"-such as electronic medical/health records-can be resource-efficient, facilitate rapid hypothesis generation and testing, complement existing evidence (e.g. from trials and evidence-synthesis) and may enable a route to translate evidence into clinically effective, outcomes-driven care for patient populations that may be under-represented. However, the interpretation and processing of real-world data sources is complex because the clinically important 'signal' is often contained in both structured and unstructured (narrative or "free-text") data. Techniques for extracting meaningful information (signal) from unstructured text exist and have advanced the re-use of routinely collected clinical data, but these techniques require cautious evaluation. In this paper, we survey the opportunities, risks and progress made in the use of electronic medical record (real-world) data for psychiatric research.
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Affiliation(s)
- Danielle Newby
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Niall Taylor
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Dan W Joyce
- Department of Primary Care and Mental Health and Civic Health, Innovation Labs, Institute of Population Health, University of Liverpool, Liverpool, UK
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18
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Chen K, Lane E, Burns J, Macrynikola N, Chang S, Torous J. The Digital Navigator: Standardizing Human Technology Support in App-Integrated Clinical Care. Telemed J E Health 2024; 30:e1963-e1970. [PMID: 38574251 DOI: 10.1089/tmj.2024.0023] [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] [Indexed: 04/06/2024] Open
Abstract
Background: Mental health apps offer scalable care, yet clinical adoption is hindered by low user engagement and integration challenges into clinic workflows. Human support staff called digital navigators, trained in mental health technology, could enhance care access and patient adherence and remove workflow burdens from clinicians. While the potential of this role is clear, training staff to become digital navigators and assessing their impact are primary challenges. Methods: We present a detailed manual/framework for implementation of the Digital Navigator within a short-term, cognitive-behavioral therapy-focused hybrid clinic. We analyze patient engagement, satisfaction, and digital phenotyping data quality outcomes. Data from 83 patients, for the period spanning September 2022 to September 2023, included Digital Navigator satisfaction, correlated with demographics, mindLAMP app satisfaction, engagement, and passive data quality. Additionally, average passive data across 33 clinic patients from November 2023 to January 2024 were assessed for missingness. Results: Digital Navigator satisfaction averaged 18.8/20. Satisfaction was not influenced by sex, race, gender, or education. Average passive data quality across 33 clinic patients was 0.82 at the time this article was written. Digital Navigator satisfaction scores had significant positive correlation with both clinic app engagement and perception of that app. Conclusions: Results demonstrate preliminary support and patient endorsement for the Digital Navigator role and positive outcomes around digital engagement and digital phenotyping data quality. Through sharing training resources and standardizing the role, we aim to enable clinicians and researchers to adapt and utilize the Digital Navigator for their own needs.
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Affiliation(s)
- Kelly Chen
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Erlend Lane
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - James Burns
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Natalia Macrynikola
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Sarah Chang
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
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Luciano M, Sampogna G, D'Ambrosio E, Rampino A, Amore M, Calcagno P, Rossi A, Rossi R, Carmassi C, Dell'Osso L, Bianciardi E, Siracusano A, Della Rocca B, Di Vincenzo M, Fiorillo A. One-year efficacy of a lifestyle behavioural intervention on physical and mental health in people with severe mental disorders: results from a randomized controlled trial. Eur Arch Psychiatry Clin Neurosci 2024; 274:903-915. [PMID: 37665401 PMCID: PMC11127886 DOI: 10.1007/s00406-023-01684-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 08/14/2023] [Indexed: 09/05/2023]
Abstract
This multicentric randomized controlled trial (RCT), carried out in six Italian University mental health sites, aims to test the efficacy of a six-month psychosocial intervention (LYFESTYLE) on Body Mass Index (BMI), body weight, waist circumference, fasting glucose, triglycerides, cholesterol, Framingham and HOmeostasis Model Assessment of insulin resistance (HOMA-IR) indexes in patients with schizophrenia, bipolar disorder, and major depression. Moreover, the efficacy of the intervention has also been tested on several other physical and mental health domains. Patients were randomly allocated to receive the six-month experimental intervention (LIFESTYLE) or a behavioural control intervention. All enrolled patients were assessed at baseline and after one year. We recruited 401 patients (206 in the experimental and 195 in the control group) with a diagnosis of schizophrenia or other psychotic disorder (29.9%), bipolar disorder (43.3%), or major depression (26.9%). At one year, patients receiving the experimental intervention reported an improvement in body mass index, body weight, waist circumference, HOMA-IR index, anxiety and depressive symptoms and in quality of life. Our findings confirm the efficacy of the LIFESTYLE intervention in improving physical and mental health-related outcomes in patients with severe mental illnesses after one year.
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Affiliation(s)
- M Luciano
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie 80039, Naples, Italy.
| | - G Sampogna
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie 80039, Naples, Italy
| | - E D'Ambrosio
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - A Rampino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - M Amore
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Genoa, Italy
| | - P Calcagno
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Genoa, Italy
| | - A Rossi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - R Rossi
- Department of System Medicine, University of Rome Tor Vergata, Rome, Italy
| | - C Carmassi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - L Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - E Bianciardi
- Department of System Medicine, University of Rome Tor Vergata, Rome, Italy
| | - A Siracusano
- Department of System Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Bianca Della Rocca
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie 80039, Naples, Italy
| | - M Di Vincenzo
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie 80039, Naples, Italy
| | - A Fiorillo
- Department of Psychiatry, University of Campania "L. Vanvitelli", Largo Madonna Delle Grazie 80039, Naples, Italy
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20
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Krokos O, Brandhorst I, Seizer L, Gawrilow C, Löchner J. Improving mental health by improving the mental health literacy? Study protocol for a randomised controlled evaluation of an e-mental health application as a preventive intervention for adolescents and young adults. Internet Interv 2024; 36:100733. [PMID: 38510271 PMCID: PMC10950738 DOI: 10.1016/j.invent.2024.100733] [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: 09/18/2023] [Revised: 02/20/2024] [Accepted: 03/06/2024] [Indexed: 03/22/2024] Open
Abstract
Background From the age of 14, many adolescents enter a vulnerable developmental phase, with a sharp increase in mental illness at 16. The COVID19 pandemic has further exacerbated this issue. Hence, universal and easily accessible prevention in the young is needed. E-mental health interventions are on the rise due to numerous benefits such as potential low-costs, low-threshold and high scalability. However, effectiveness and acceptance of mobile health (mHealth) preventive interventions remain unresearched. Method In a two-armed, randomised controlled study design adolescents and young adults from 14 years old will be recruited. Following an initial baseline assessment, they will be randomised to a) the intervention group (IG, n = 75), which will receive a mHealth intervention (the application 'Mental Health Guide', co-developed by lived experience experts) or b) the waiting list control group (CG, n = 75). Both groups will be followed up after 3 and 6 months following post assessment. We hypothesize an increase in mental health literacy in the IG compared to the CG for post and follow-up assessment (primary outcome: Mental Health Literacy Scale). In addition, we expect an improvement in mental health and psychological well-being, improved emotion regulation, reduced psychological distress, as well as good quality ratings in usability and acceptance in the use of the 'Mental Health Guide' We performed multiple simulations of possible outcome scenarios, incorporating an array of factors, to generate realistic datasets and obtain accurate estimates of statistical power. Conclusion As a first-of-its-kind in this field, this study investigates whether a mHealth intervention based on mental health literacy may improve the mental health literacy and further aspects of psychological functioning of young people in a vulnerable phase. Furthermore, the results promise to provide important knowledge of how universal prevention may be implemented with low costs for diverse populations. Trial registration This trial was registered in the DRKS register (DRKS-ID: DRKS00031810) on 23 June 2023.
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Affiliation(s)
- Olivia Krokos
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Tuebingen, Germany
- German Center for Mental Health (DZPG), Germany
| | - Isabel Brandhorst
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Tuebingen, Germany
- German Center for Mental Health (DZPG), Germany
| | - Lennart Seizer
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Tuebingen, Germany
- German Center for Mental Health (DZPG), Germany
| | - Caterina Gawrilow
- Department of School Psychology, Universität Tübingen, Germany
- German Center for Mental Health (DZPG), Germany
| | - Johanna Löchner
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Tuebingen, Germany
- German Center for Mental Health (DZPG), Germany
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Guinart D, Fagiolini A, Fusar-Poli P, Giordano GM, Leucht S, Moreno C, Correll CU. On the Road to Individualizing Pharmacotherapy for Adolescents and Adults with Schizophrenia - Results from an Expert Consensus Following the Delphi Method. Neuropsychiatr Dis Treat 2024; 20:1139-1152. [PMID: 38812809 PMCID: PMC11133879 DOI: 10.2147/ndt.s456163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/27/2024] [Indexed: 05/31/2024] Open
Abstract
Introduction Schizophrenia is a severe mental illness that usually begins in late adolescence or early adulthood. Current pharmacological treatments, while acceptably effective for many patients, are rarely clinically tailored or individualized. The lack of sufficient etiopathological knowledge of the disease, together with overall comparable effect sizes for efficacy between available antipsychotics and the absence of clinically actionable biomarkers, has hindered the advance of individualized medicine in the treatment of schizophrenia. Nevertheless, some degree of stratification based on clinical markers could guide treatment choices and help clinicians move toward individualized psychiatry. To this end, a panel of experts met to formally discuss the current approach to individualized treatment in schizophrenia and to define how treatment individualization could help improve clinical outcomes. Methods A task force of seven experts iteratively developed, evaluated, and refined questionnaire items, which were then evaluated using the Delphi method. Descriptive statistics were used to summarize and rank expert responses. Expert discussion, informed by the results of a scoping review on personalizing the pharmacologic treatment of adults and adolescents with schizophrenia, ultimately generated recommendations to guide individualized pharmacologic treatment in this population. Results There was substantial agreement among the expert group members, resulting in the following recommendations: 1) individualization of treatment requires consideration of the patient's diagnosis, clinical presentation, comorbidities, previous treatment response, drug tolerability, adherence patterns, and social factors; 2) patient preferences should be considered in a shared decision-making approach; 3) identified barriers to personalized care that need to be overcome include the lack of actionable biomarkers and mechanistic similarities between available treatments, but digital tools should be increasingly used to enhance individualized treatment. Conclusion Individualized care can help provide effective, tailored treatments based on an individual's clinical characteristics, disease trajectory, family and social environment, and goals and preferences.
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Affiliation(s)
- Daniel Guinart
- Institut de Salut Mental, Parc de Salut Mar, Barcelona, Spain
- Hospital Del Mar Research Institute, CIBERSAM, Barcelona, Spain
- Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena School of Medicine, Siena, Italy
| | - Paolo Fusar-Poli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Department of Psychosis Studies, King’s College London, London, UK
- Outreach and Support in South-London (OASIS) Service, South London and Maudsley (Slam) NHS Foundation Trust, London, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | | | - Stefan Leucht
- Technical University of Munich, TUM School of Medicine and Health, Department of Psychiatry and Psychotherapy, Munich, Germany
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (LISGM), Madrid, Spain
- Centro de Investigación Biomedica en Red (CIBERSAM), ISCIII, Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Christoph U Correll
- Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, The Zucker Hillside Hospital, New York, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitatsmedizin, Berlin, Germany
- German Center for Mental Health (DZPG), Partner Site, Berlin, Germany
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22
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Gitonga I, Desmond D, Maguire R. Who uses connected health technologies after a cancer diagnosis? evidence from the US Health Information National Trends Survey. J Cancer Surviv 2024:10.1007/s11764-024-01615-1. [PMID: 38744797 DOI: 10.1007/s11764-024-01615-1] [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: 10/19/2023] [Accepted: 05/09/2024] [Indexed: 05/16/2024]
Abstract
PURPOSE As the number of people living with and beyond cancer increases, connected health technologies offer promise to enhance access to care and support, while reducing costs. However, uptake of connected health technologies may vary depending on sociodemographic and health-related variables. This study aimed to investigate demographic and health predictors of connected health technology use among people living with and beyond cancer. METHODS Cross-sectional data from the US Health Information National Trends Survey Version 5 Cycle 4 (H5c4) was used. Regression analysis was used to examine associations between sociodemographic factors and the use of connected health technologies. The sample was restricted to individuals who self-reported a cancer diagnosis or history of cancer. RESULTS In this cycle, 626 respondents self-reported a cancer diagnosis, with 41.1% using connected health technologies (health and wellness apps and/or wearable devices). Most were female (58.9%) and white (82.5%); 43.4% had graduated college or higher education. One third (33.6%) had a household income of $75,000 or more. Respondents who were younger, have higher education, were living as married, had higher incomes, had higher self-rated health and had higher health-related self-efficacy were significantly more likely to use connected health technologies. There were no significant associations between gender, race, stratum, time since diagnosis, history of anxiety or depression, and use of connected health technologies among people living with and beyond cancer. CONCLUSIONS Connected health technology use among people living with and beyond cancer is associated with sociodemographic factors. Future research should examine these demographic disparities as the use of connected health technologies in healthcare continues to gather momentum. IMPLICATIONS FOR CANCER SURVIVORS The study underscores a disparity in connected heath technology usage among people living with and beyond cancer. There is a pressing need for research into adoption barriers and interventions to ensure equitable digital healthcare integration among this population, especially with the heightened adoption of technology post COVID-19 pandemic.
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Affiliation(s)
- Isaiah Gitonga
- Department of Psychology, Maynooth University, Maynooth, Ireland.
- Assisting Living and Learning Institute, Maynooth University, Maynooth, Ireland.
| | - Deirdre Desmond
- Department of Psychology, Maynooth University, Maynooth, Ireland
- Assisting Living and Learning Institute, Maynooth University, Maynooth, Ireland
| | - Rebecca Maguire
- Department of Psychology, Maynooth University, Maynooth, Ireland
- Assisting Living and Learning Institute, Maynooth University, Maynooth, Ireland
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Noori S, Khasnavis S, DeCroce-Movson E, Blay-Tofey M, Vitiello E. A Curriculum on Digital Psychiatry for a US-Based Psychiatry Residency Training Program: Pilot Implementation Study. JMIR Form Res 2024; 8:e41573. [PMID: 38739423 PMCID: PMC11130773 DOI: 10.2196/41573] [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: 07/31/2022] [Revised: 07/01/2023] [Accepted: 10/12/2023] [Indexed: 05/14/2024] Open
Abstract
BACKGROUND Digital psychiatry, defined as the application of health technologies to the prevention, assessment, and treatment of mental health illnesses, is a growing field. Interest in the clinical use of these technologies continues to grow. However, psychiatric trainees receive limited or no formal education on the topic. OBJECTIVE This study aims to pilot a curriculum on digital psychiatry for a US-based psychiatry residency training program and examine the change in learner confidence regarding appraisal and clinical recommendation of digital mental health apps. METHODS Two 60-minute sessions were presented through a web-based platform to postgraduate year 2-4 residents training in psychiatry at a US-based adult psychiatry residency program. Learner confidence was assessed using pre- and postsession surveys. RESULTS Matched pre- and postsession quizzes showed improved confidence in multiple domains aligning with the course objectives. This included the structured appraisal of digital mental health apps (P=.03), assessment of a patient's digital health literacy (P=.01), formal recommendation of digital health tools (P=.03), and prescription of digital therapeutics to patients (P=.03). Though an improvement from baseline, mean ratings for confidence did not exceed "somewhat comfortable" on any of the above measures. CONCLUSIONS Our study shows the feasibility of implementing a digital psychiatry curriculum for residents in multiple levels of training. We also identified an opportunity to increase learner confidence in the appraisal and clinical use of digital mental health apps through the use of a formal curriculum.
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Affiliation(s)
- Sofia Noori
- Yale Department of Psychiatry, New Haven, CT, United States
| | | | - Eliza DeCroce-Movson
- Residency Training Program, Yale Department of Psychiatry, New York-Presbyterian Child and Adolescent Psychiatry, New York, NY, United States
| | - Morkeh Blay-Tofey
- Department of Psychiatry, Baylor Scott & White Health, Temple, TX, United States
| | - Evan Vitiello
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, United States
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Danese A, Martsenkovskyi D, Remberk B, Khalil MY, Diggins E, Keiller E, Masood S, Awah I, Barbui C, Beer R, Calam R, Gagliato M, Jensen TK, Kostova Z, Leckman JF, Lewis SJ, Lorberg B, Myshakivska O, Pfeiffer E, Rosner R, Schleider JL, Shenderovich Y, Skokauskas N, Tolan PH, Caffo E, Sijbrandij M, Ougrin D, Leventhal BL, Weisz JR. Scoping Review: Digital Mental Health Interventions for Children and Adolescents Affected by War. J Am Acad Child Adolesc Psychiatry 2024:S0890-8567(24)00243-0. [PMID: 38735431 DOI: 10.1016/j.jaac.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 02/19/2024] [Accepted: 02/23/2024] [Indexed: 05/14/2024]
Abstract
OBJECTIVE More than 200 million children and adolescents live in countries affected by violent conflict, are likely to have complex mental health needs, and struggle to access traditional mental health services. Digital mental health interventions have the potential to overcome some of the barriers in accessing mental health support. We performed a scoping review to map existing digital mental health interventions relevant for children and adolescents affected by war, to examine the strength of the evidence base, and to inform the development of future interventions. METHOD Based on a pre-registered strategy, we systematically searched MEDLINE, Embase, Global Health, APA PsychInfo, and Google Scholar from the creation of each database to September 30, 2022, identifying k = 6,843 studies. Our systematic search was complemented by extensive consultation with experts from the GROW Network. RESULTS The systematic search identified 6 relevant studies: 1 study evaluating digital mental health interventions for children and adolescents affected by war, and 5 studies for those affected by disasters. Experts identified 35 interventions of possible relevance. The interventions spanned from universal prevention to specialist-guided treatment. Most interventions directly targeted young people and parents or carers/caregivers and were self-guided. A quarter of the interventions were tested through randomized controlled trials. Because most interventions were not culturally or linguistically adapted to relevant contexts, their implementation potential was unclear. CONCLUSION There is very limited evidence for the use of digital mental health interventions for children and adolescents affected by war at present. The review provides a framework to inform the development of new interventions. DIVERSITY & INCLUSION STATEMENT We actively worked to promote sex and gender balance in our author group. STUDY PREREGISTRATION INFORMATION Digital mental health interventions for children and young people affected by war: a scoping review; https://osf.io/; hrny9.
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Affiliation(s)
- Andrea Danese
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; South London and Maudsley NHS Foundation Trust, London, United Kingdom.
| | - Dmytro Martsenkovskyi
- Bogomolets National Medical University, Kyiv, Ukraine; SI Institute of Psychiatry, Forensic Psychiatric Examination and Drug Monitoring of Ministry of Health of Ukraine, Kyiv, Ukraine; National Children's Specialized Hospital OHMATDYT, Kyiv, Ukraine
| | | | | | - Emma Diggins
- University of Leeds, Leeds, United Kingdom; Leeds Community Healthcare NHS Trust, Leeds, United Kingdom
| | - Eleanor Keiller
- Queen Mary University of London, London, UK; East London NHS Foundation Trust, London, United Kingdom
| | - Saba Masood
- Queen Mary University of London, London, UK; East London NHS Foundation Trust, London, United Kingdom
| | - Isang Awah
- University of Oxford, Oxford, United Kingdom
| | | | - Renée Beer
- EMDR Europe Association, Lausanne, Switzerland
| | - Rachel Calam
- University of Manchester, Manchester, United Kingdom
| | - Marcio Gagliato
- The Mental Health and Psychosocial Support Network - MHPSS.net; Fordham University, New York City, New York
| | - Tine K Jensen
- University of Oslo, Oslo, Norway; Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway
| | - Zlatina Kostova
- University of Massachusetts Chan Medical School, Worcester, Massachusetts. Prof. Leckman is with
| | | | - Stephanie J Lewis
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Boris Lorberg
- University of Massachusetts Chan Medical School, Worcester, Massachusetts. Prof. Leckman is with
| | - Olha Myshakivska
- Institute of Psychiatry, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
| | | | - Rita Rosner
- Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany
| | | | - Yulia Shenderovich
- Cardiff University, Cardiff, United Kingdom; University of Oxford, Oxford, United Kingdom
| | | | | | - Ernesto Caffo
- University of Modena and Reggio Emilia, Italy; Foundation Child; and the Foundation SOS Il Telefono Azzurro ONLUS
| | | | - Dennis Ougrin
- Queen Mary University of London, London, UK; East London NHS Foundation Trust, London, United Kingdom
| | | | - John R Weisz
- Harvard University, Cambridge, Massachusetts; Harvard Medical School, Boston, Massachusetts
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De Jaegere E, van Heeringen K, Emmery P, Mommerency G, Portzky G. Effects of a Serious Game for Adolescent Mental Health on Cognitive Vulnerability: Pilot Usability Study. JMIR Serious Games 2024; 12:e47513. [PMID: 38725223 PMCID: PMC11097755 DOI: 10.2196/47513] [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: 03/22/2023] [Revised: 03/08/2024] [Accepted: 03/24/2024] [Indexed: 05/18/2024] Open
Abstract
Background Adolescent mental health is of utmost importance. E-mental health interventions, and serious games in particular, are appealing to adolescents and can have beneficial effects on their mental health. A serious game aimed at improving cognitive vulnerability (ie, beliefs or attitudes), which can predispose an individual to mental health problems, can contribute to the prevention of these problems in adolescents. Objective This study aimed to assess the feasibility of the prototype of a serious game called "Silver." Methods The prototype of the serious game was developed using a user-centered participatory design. The prototype of Silver focused on 1 aspect of a serious game for improving cognitive vulnerability in adolescents, that is, the recognition and identification of cognitive distortions. Through the game, players were required to identify and classify the character's thoughts as helpful or unhelpful. Upon successful advancement to the next level, the task becomes more challenging, as players must also identify specific types of cognitive distortions. A pre- and posttest uncontrolled design was used to evaluate the game, with a 1-week intervention phase in which participants were asked to play the game. Participants aged 12-16 years were recruited in schools. The outcomes of interest were the recognition of cognitive distortions and presence of participants' cognitive distortions. The game was also evaluated on its effects, content, and usefulness. Results A total of 630 adolescents played Silver and completed the assessments. Adolescents were significantly better at recognizing cognitive distortions at the pretest (mean 13.09, SD 4.08) compared to the posttest (mean 13.82, SD 5.09; t629=-4.00, P<.001). Furthermore, their cognitive distortions decreased significantly at the posttest (mean 38.73, SD 12.79) compared to the pretest (mean 41.43, SD 10.90; t629=7.98, P<.001). Participants also indicated that the game helped them recognize cognitive distortions. Many participants considered the game appealing (294/610, 48.2%) but boring (317/610, 52%) and preferred a more comprehensive game (299/610, 49%). Conclusions Findings from this study suggest that a serious game may be an effective tool for improving cognitive vulnerability in adolescents. The development of such a serious game, based on the prototype, is recommended. It may be an important and innovative tool for the universal prevention of mental health problems in adolescents. Future research on the effects of the game is warranted.
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Affiliation(s)
- Eva De Jaegere
- Department of Head and Skin, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Kees van Heeringen
- Department of Head and Skin, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Peter Emmery
- University Psychiatric Centre KU Leuven, KU Leuven, Leuven, Belgium
| | - Gijs Mommerency
- Department of Child and Adolescent Psychiatry, Ghent University Hospital, Ghent, Belgium
| | - Gwendolyn Portzky
- Department of Head and Skin, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
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Smith KA, Hardy A, Vinnikova A, Blease C, Milligan L, Hidalgo-Mazzei D, Lambe S, Marzano L, Uhlhaas PJ, Ostinelli EG, Anmella G, Zangani C, Aronica R, Dwyer B, Torous J, Cipriani A. Digital Mental Health for Schizophrenia and Other Severe Mental Illnesses: An International Consensus on Current Challenges and Potential Solutions. JMIR Ment Health 2024; 11:e57155. [PMID: 38717799 PMCID: PMC11112473 DOI: 10.2196/57155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/08/2024] [Accepted: 03/21/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Digital approaches may be helpful in augmenting care to address unmet mental health needs, particularly for schizophrenia and severe mental illness (SMI). OBJECTIVE An international multidisciplinary group was convened to reach a consensus on the challenges and potential solutions regarding collecting data, delivering treatment, and the ethical challenges in digital mental health approaches for schizophrenia and SMI. METHODS The consensus development panel method was used, with an in-person meeting of 2 groups: the expert group and the panel. Membership was multidisciplinary including those with lived experience, with equal participation at all stages and coproduction of the consensus outputs and summary. Relevant literature was shared in advance of the meeting, and a systematic search of the recent literature on digital mental health interventions for schizophrenia and psychosis was completed to ensure that the panel was informed before the meeting with the expert group. RESULTS Four broad areas of challenge and proposed solutions were identified: (1) user involvement for real coproduction; (2) new approaches to methodology in digital mental health, including agreed standards, data sharing, measuring harms, prevention strategies, and mechanistic research; (3) regulation and funding issues; and (4) implementation in real-world settings (including multidisciplinary collaboration, training, augmenting existing service provision, and social and population-focused approaches). Examples are provided with more detail on human-centered research design, lived experience perspectives, and biomedical ethics in digital mental health approaches for SMI. CONCLUSIONS The group agreed by consensus on a number of recommendations: (1) a new and improved approach to digital mental health research (with agreed reporting standards, data sharing, and shared protocols), (2) equal emphasis on social and population research as well as biological and psychological approaches, (3) meaningful collaborations across varied disciplines that have previously not worked closely together, (4) increased focus on the business model and product with planning and new funding structures across the whole development pathway, (5) increased focus and reporting on ethical issues and potential harms, and (6) organizational changes to allow for true communication and coproduction with those with lived experience of SMI. This study approach, combining an international expert meeting with patient and public involvement and engagement throughout the process, consensus methodology, discussion, and publication, is a helpful way to identify directions for future research and clinical implementation in rapidly evolving areas and can be combined with measurements of real-world clinical impact over time. Similar initiatives will be helpful in other areas of digital mental health and similarly fast-evolving fields to focus research and organizational change and effect improved real-world clinical implementation.
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Affiliation(s)
- Katharine A Smith
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, United Kingdom
| | - Amy Hardy
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | | | - Charlotte Blease
- Participatory eHealth and Health Data Research Group, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Lea Milligan
- MQ Mental Health Research, London, United Kingdom
| | - Diego Hidalgo-Mazzei
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Sinéad Lambe
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Lisa Marzano
- School of Science and Technology, Middlesex University, London, United Kingdom
| | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom
- Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Edoardo G Ostinelli
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, United Kingdom
| | - Gerard Anmella
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Caroline Zangani
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, United Kingdom
| | - Rosario Aronica
- Psychiatry Unit, Department of Neurosciences and Mental Health, Ospedale Maggiore Policlinico Ca' Granda, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Bridget Dwyer
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - John Torous
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, United Kingdom
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Williams LA, Tzelios K, Masser B, Thijsen A, van Dongen A, Davison TE. A virtual reality paradigm simulating blood donation serves as a platform to test interventions to promote donation. Sci Rep 2024; 14:10334. [PMID: 38710774 DOI: 10.1038/s41598-024-60578-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 04/24/2024] [Indexed: 05/08/2024] Open
Abstract
Effective interventions that support blood donor retention are needed. Yet, integrating an intervention into the time-pressed and operationally sensitive context of a blood donation center requires justification for disruptions to an optimized process. This research provides evidence that virtual reality (VR) paradigms can serve as a research environment in which interventions can be tested prior to being delivered in blood donation centers. Study 1 (N = 48) demonstrated that 360°-video VR blood donation environments elicit a similar profile of emotional experience to a live donor center. Presence and immersion were high, and cybersickness symptoms low. Study 2 (N = 134) was an experiment deploying the 360°-video VR environments to test the impact of an intervention on emotional experience and intentions to donate. Participants in the intervention condition who engaged in a suite of tasks drawn from the process model of emotion regulation (including attentional deployment, positive reappraisal, and response modulation) reported more positive emotion than participants in a control condition, which in turn increased intentions to donate blood. By showing the promise for benefitting donor experience via a relatively low-cost and low-resource methodology, this research supports the use of VR paradigms to trial interventions prior to deployment in operationally-context field settings.
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Affiliation(s)
| | | | - Barbara Masser
- School of Psychology, The University of Queensland, Brisbane, Australia
- Strategy and Growth, Australian Red Cross Lifeblood, Melbourne, Australia
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Amanda Thijsen
- Strategy and Growth, Australian Red Cross Lifeblood, Melbourne, Australia
| | - Anne van Dongen
- Department of Psychology, Health, and Technology, University of Twente, Enschede, The Netherlands
| | - Tanya E Davison
- Monash Art, Design and Architecture, Monash University, Melbourne, Australia
- Research and Innovation, Silverchain, Melbourne, Australia
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Lam RW, Kennedy SH, Adams C, Bahji A, Beaulieu S, Bhat V, Blier P, Blumberger DM, Brietzke E, Chakrabarty T, Do A, Frey BN, Giacobbe P, Gratzer D, Grigoriadis S, Habert J, Ishrat Husain M, Ismail Z, McGirr A, McIntyre RS, Michalak EE, Müller DJ, Parikh SV, Quilty LS, Ravindran AV, Ravindran N, Renaud J, Rosenblat JD, Samaan Z, Saraf G, Schade K, Schaffer A, Sinyor M, Soares CN, Swainson J, Taylor VH, Tourjman SV, Uher R, van Ameringen M, Vazquez G, Vigod S, Voineskos D, Yatham LN, Milev RV. Canadian Network for Mood and Anxiety Treatments (CANMAT) 2023 Update on Clinical Guidelines for Management of Major Depressive Disorder in Adults: Réseau canadien pour les traitements de l'humeur et de l'anxiété (CANMAT) 2023 : Mise à jour des lignes directrices cliniques pour la prise en charge du trouble dépressif majeur chez les adultes. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2024:7067437241245384. [PMID: 38711351 DOI: 10.1177/07067437241245384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
BACKGROUND The Canadian Network for Mood and Anxiety Treatments (CANMAT) last published clinical guidelines for the management of major depressive disorder (MDD) in 2016. Owing to advances in the field, an update was needed to incorporate new evidence and provide new and revised recommendations for the assessment and management of MDD in adults. METHODS CANMAT convened a guidelines editorial group comprised of academic clinicians and patient partners. A systematic literature review was conducted, focusing on systematic reviews and meta-analyses published since the 2016 guidelines. Recommendations were organized by lines of treatment, which were informed by CANMAT-defined levels of evidence and supplemented by clinical support (consisting of expert consensus on safety, tolerability, and feasibility). Drafts were revised based on review by patient partners, expert peer review, and a defined expert consensus process. RESULTS The updated guidelines comprise eight primary topics, in a question-and-answer format, that map a patient care journey from assessment to selection of evidence-based treatments, prevention of recurrence, and strategies for inadequate response. The guidelines adopt a personalized care approach that emphasizes shared decision-making that reflects the values, preferences, and treatment history of the patient with MDD. Tables provide new and updated recommendations for psychological, pharmacological, lifestyle, complementary and alternative medicine, digital health, and neuromodulation treatments. Caveats and limitations of the evidence are highlighted. CONCLUSIONS The CANMAT 2023 updated guidelines provide evidence-informed recommendations for the management of MDD, in a clinician-friendly format. These updated guidelines emphasize a collaborative, personalized, and systematic management approach that will help optimize outcomes for adults with MDD.
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Affiliation(s)
- Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Camelia Adams
- Department of Psychiatry, University of Saskatchewan, Saskatoon, SK, Canada
| | - Anees Bahji
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Serge Beaulieu
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Venkat Bhat
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Pierre Blier
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
| | | | - Elisa Brietzke
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Trisha Chakrabarty
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - André Do
- Department of Psychiatry, Université de Montréal, Montréal, QC, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Peter Giacobbe
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - David Gratzer
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Jeffrey Habert
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - M Ishrat Husain
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Zahinoor Ismail
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Alexander McGirr
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Roger S McIntyre
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Erin E Michalak
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Daniel J Müller
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sagar V Parikh
- Department of Psychiatry, University of Michigan, Ann Arbour, MI, USA
| | - Lena S Quilty
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Arun V Ravindran
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Nisha Ravindran
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Johanne Renaud
- Department of Psychiatry, McGill University, Montréal, QC, Canada
| | | | - Zainab Samaan
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Gayatri Saraf
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
| | - Kathryn Schade
- Office of Research Services, Huron University, London, ON, Canada
| | - Ayal Schaffer
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Mark Sinyor
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Claudio N Soares
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Jennifer Swainson
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Valerie H Taylor
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Smadar V Tourjman
- Department of Psychiatry, Université de Montréal, Montréal, QC, Canada
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Michael van Ameringen
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Gustavo Vazquez
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Simone Vigod
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Daphne Voineskos
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Roumen V Milev
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
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D'Aunno T, Neighbors CJ. Innovation in the Delivery of Behavioral Health Services. Annu Rev Public Health 2024; 45:507-525. [PMID: 37871139 DOI: 10.1146/annurev-publhealth-071521-024027] [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] [Indexed: 10/25/2023]
Abstract
Several factors motivate the need for innovation to improve the delivery of behavioral health services, including increased rates of mental health and substance use disorders, limited access to services, inconsistent use of evidence-based practices, and persistent racial and ethnic disparities. This narrative review identifies promising innovations that address these challenges, assesses empirical evidence for the effectiveness of these innovations and the extent to which they have been adopted and implemented, and suggests next steps for research. We review five categories of innovations: organizational models, including a range of novel locations for providing services and new ways of organizing services within and across sites; information and communication technologies; workforce; treatment technologies; and policy and regulatory changes. We conclude by discussing the need to strengthen and accelerate the contributions of implementation science to close the gap between the launch of innovative behavioral health services and their widespread use.
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Affiliation(s)
- Thomas D'Aunno
- Wagner Graduate School of Public Service, New York University, New York, NY, USA;
| | - Charles J Neighbors
- Department of Population Health, Grossman School of Medicine, New York University, New York, NY, USA
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McClure Z, Fuller-Tyszkiewicz M, Messer M, Linardon J. Predictors, mediators, and moderators of response to digital interventions for eating disorders: A systematic review. Int J Eat Disord 2024; 57:1034-1048. [PMID: 37886906 DOI: 10.1002/eat.24078] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/28/2023]
Abstract
OBJECTIVE Digital interventions show promise as an effective prevention or self-management option for eating disorders (EDs). However, it remains unclear how, for whom, and through what mechanisms they work in this population, as a synthesis of outcome predictors, moderators, and mediators is lacking. This systematic review synthesized empirical research investigating predictors, mediators, and moderators of response to digital interventions for EDs. METHOD Six databases were searched (PROSPERO CRD42022295565) for studies that assessed predictors, moderators, or mediators of response (i.e., uptake, drop-out, engagement, and symptom level change) to a digital prevention or treatment program for EDs. Variables were grouped into several overarching categories (demographic, symptom severity, psychological, etc.) and were synthesized qualitatively across samples without a formally diagnosed ED (typically prevention-focused) and samples with a formally diagnosed ED (typically treatment-focused). RESULTS Eighty-six studies were included. For studies recruiting samples without a formal diagnosis (n = 70 studies), most predictors explored were statistically unrelated to outcome, although participant age, baseline symptom severity, confidence to change, motivation, and program engagement showed preliminary evidence of prognostic potential. No robust moderators or mediators were identified. Few studies recruiting samples with a formal diagnosis emerged (n = 16), of which no reliable predictors, moderators, or mediators were identified. DISCUSSION It remains unclear how, for whom, and under what circumstances digital programs targeting EDs work. We offer several recommendations for future research with the aim of advancing understanding of client characteristics and intervention elements that signal success from this intervention modality. PUBLIC SIGNIFICANCE Digital interventions have shown potential as an effective, scalable, and accessible intervention option for EDs. However, responsiveness varies, so advancing understanding of predictors, mediators, and moderators of outcome to digital interventions for EDs is needed. Such knowledge is important for enabling safe and efficient treatment matching, and for informing future development of effective digital interventions.
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Affiliation(s)
- Zoe McClure
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Matthew Fuller-Tyszkiewicz
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Centre for Social and Early Emotional Development, Deakin University, Burwood, Victoria, Australia
| | - Mariel Messer
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Jake Linardon
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Centre for Social and Early Emotional Development, Deakin University, Burwood, Victoria, Australia
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Joung PhD Pmh-Apn Rn J, Kang PhD Rn KI. Exploring the Self-Care Factors for Recovery in Alcohol Use Disorder and the Role of Peer Recovery Coaches: A Qualitative Study. Issues Ment Health Nurs 2024; 45:520-527. [PMID: 38518203 DOI: 10.1080/01612840.2024.2326476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/24/2024]
Abstract
Self-care is important in addiction recovery, and peer recovery coaches (PRCs) play key roles in recovery. This qualitative study explored self-care factors for individuals recovering from alcohol use disorder and the role of PRCs in supporting these individuals' self-care. Individual interviews with five PRCs and five workers in community addiction management centers in South Korea were performed. Data were analyzed using content analysis. Two categories and six subcategories were derived. The two categories were "elements of self-care: preparation and practice for a new way of life" and "the roles of PRCs: recovery facilitators with differentiated competencies." The factors identified as being involved self-care were summarized as "changing one's thought process and attitude" and "practical enactment considering the situation." The effective roles of PRCs were "sharing specific and realistic information," "providing motivation," "building empathy," and "presenting role models as mentors." This study identified self-care factors that should be included in addiction recovery programs with the participation of PRCs and also identified the roles of the PRCs. Developing and applying nursing interventions with PRCs in clinical and community nursing settings is necessary.
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Affiliation(s)
| | - Kyung Im Kang PhD Rn
- College of Nursing, Institute of Medical Science, Gyeongsang National University, Jinju, South Korea
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Raccanello D, Vicentini G, Rocca E, Hall R, Burro R. Can a web application foster emotional competence in children and adolescents? The case of PandHEMOT®. Appl Psychol Health Well Being 2024; 16:672-695. [PMID: 38035795 DOI: 10.1111/aphw.12511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/31/2023] [Indexed: 12/02/2023]
Abstract
The COVID-19 pandemic has had many traumatic consequences for the physical and psychological functioning of children and adolescents. Internet-based interventions can reach a large audience and be a potentially powerful resource for promoting well-being among young people. We tested the efficacy of the web application PandHEMOT®, developed ad hoc for increasing knowledge about pandemics, emotions, and emotion regulation. We involved a sample of 147 Italian third and seventh graders. The sample was assigned to an experimental (participating in the training) and a waitlist condition (who participated following a waitlist design). All the participants completed pretest and posttest measures. The intervention was structured into three units. The training took place between November and December 2021. Generalized linear mixed models and linear mixed models revealed that knowledge about pandemics, emotions, emotion regulation, and metacognitive awareness increased for the experimental condition. Moreover, adolescents performed better than children. The findings supported the efficacy of an Internet-based training for increasing children and adolescents' resilience, according to the standards of evidence-based research.
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Affiliation(s)
| | - Giada Vicentini
- Department of Human Sciences, University of Verona, Verona, Italy
| | - Emmanuela Rocca
- Department of Human Sciences, University of Verona, Verona, Italy
| | - Rob Hall
- Macquarie University, Sydney, New South Wales, Australia
- Environmetrics, Killara, New South Wales, Australia
| | - Roberto Burro
- Department of Human Sciences, University of Verona, Verona, Italy
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Telles R, Zimmerman MB, Thaker PH, Slavich GM, Ramirez ES, Zia S, Goodheart MJ, Cole SW, Sood AK, Lutgendorf SK. Rural-urban disparities in psychosocial functioning in epithelial ovarian cancer patients. Gynecol Oncol 2024; 184:139-145. [PMID: 38309031 PMCID: PMC11179980 DOI: 10.1016/j.ygyno.2024.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/10/2024] [Accepted: 01/14/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVE Although rural residence has been related to health disparities in cancer patients, little is known about how rural residence impacts mental health and quality of life (QOL) in ovarian cancer patients over time. This prospective longitudinal study investigated mental health and QOL of ovarian cancer patients in the first-year post-diagnosis. METHOD Women with suspected ovarian cancer completed psychosocial surveys pre-surgery, at 6 months and one-year; clinical data were obtained from medical records. Histologically confirmed high grade epithelial ovarian cancer patients were eligible. Rural/urban residence was categorized from patient counties using the USDA Rural-Urban Continuum Codes. Linear mixed effects models examined differences in psychosocial measures over time, adjusting for covariates. RESULTS Although disparities were not observed at study entry for any psychosocial variable (all p-values >0.22), urban patients showed greater improvement in total distress over the year following diagnosis than rural patients (p = 0.025) and were significantly less distressed at one year (p = 0.03). Urban patients had a more consistent QOL improvement than their rural counterparts (p = 0.006). There were no differences in the course of depressive symptoms over the year (p = 0.17). Social support of urban patients at 12 months was significantly higher than that of rural patients (p = 0.04). CONCLUSION Rural patients reported less improvement in psychological functioning in the year following diagnosis than their urban counterparts. Clinicians should be aware of rurality as a potential risk factor for ongoing distress. Future studies should examine causes of these health disparities and potential long-term inequities and develop interventions to address these issues.
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Affiliation(s)
- Rachel Telles
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, USA
| | - M Bridget Zimmerman
- Department of Preventive Medicine and Biostatistics, University of Iowa, Iowa City, IA, USA
| | - Premal H Thaker
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Washington University School of Medicine, Saint Louis, MO, USA
| | - George M Slavich
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Edgardo S Ramirez
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Sharaf Zia
- Institute of Clinical and Translational Sciences, University of Iowa Hospital & Clinics, Iowa City, IA, USA
| | - Michael J Goodheart
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, USA; Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA
| | - Steven W Cole
- Division of Hematology-Oncology, University of California, Los Angeles School of Medicine, Los Angeles, CA, USA
| | - Anil K Sood
- Departments of Gynecologic Oncology, Cancer Biology and Center for RNA Interference and Noncoding RNA, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Susan K Lutgendorf
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, USA; Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA.
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Linardon J, Fuller-Tyszkiewicz M. Exploration of the individual and combined effects of predictors of engagement, dropout, and change from digital interventions for recurrent binge eating. Int J Eat Disord 2024; 57:1202-1212. [PMID: 38410869 DOI: 10.1002/eat.24175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/17/2024] [Accepted: 02/09/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVE Our ability to predict responsiveness to digital interventions for eating disorders has thus far been poor, potentially for three reasons: (1) there has been a narrow set of predictors explored; (2) prediction has mostly focused on symptom change, ignoring other aspects of the user journey (uptake, early engagement); and (3) there is an excessive focus on the unique effects of predictors rather than the combined contributions of a predictor set. We evaluated the univariate and multivariate effects of outcome predictors in the context of a randomized trial (n = 398) of digitally delivered interventions for recurrent binge eating. METHOD Thirty baseline variables were selected as predictors, ranging from specific symptoms, to key protective factors, to technological acceptance, and to online treatment attitudes. Outcomes included uptake, early engagement, and remission. Univariate (d) and multivariate (D) standardized mean differences were calculated to estimate the individual and combined effects of predictors, respectively. RESULTS At the univariate level, few predictors produced an effect size larger than what is considered small (d > .20) across outcomes. However, our multivariate approach enhanced prediction (Ds = .65 to 1.12), producing accuracy rates greater than chance (63%-71% accuracy). Less than half of the chosen variables proved to be useful in contributing to predictions in multivariate models. CONCLUSION Findings suggest that accuracy in outcome prediction from digitally delivered interventions may be better driven by the aggregation of many small effects rather than one or several largely influential predictors. Replication with different data streams (sensor, neuroimaging) would be useful. PUBLIC SIGNIFICANCE Our ability to predict who will and will not benefit from digital interventions for eating disorders has been poor. We highlight the viability of a multivariate approach to outcome prediction, whereby prediction may be better driven by the aggregation of many small effects rather than one or a few influential predictors.
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Affiliation(s)
- Jake Linardon
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Center for Social and Early Emotional Development, Deakin University, Burwood, Victoria, Australia
| | - Matthew Fuller-Tyszkiewicz
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Center for Social and Early Emotional Development, Deakin University, Burwood, Victoria, Australia
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Thunström AO, Carlsen HK, Ali L, Larson T, Hellström A, Steingrimsson S. Usability Comparison Among Healthy Participants of an Anthropomorphic Digital Human and a Text-Based Chatbot as a Responder to Questions on Mental Health: Randomized Controlled Trial. JMIR Hum Factors 2024; 11:e54581. [PMID: 38683664 DOI: 10.2196/54581] [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: 11/15/2023] [Revised: 01/27/2024] [Accepted: 02/18/2024] [Indexed: 05/01/2024] Open
Abstract
BACKGROUND The use of chatbots in mental health support has increased exponentially in recent years, with studies showing that they may be effective in treating mental health problems. More recently, the use of visual avatars called digital humans has been introduced. Digital humans have the capability to use facial expressions as another dimension in human-computer interactions. It is important to study the difference in emotional response and usability preferences between text-based chatbots and digital humans for interacting with mental health services. OBJECTIVE This study aims to explore to what extent a digital human interface and a text-only chatbot interface differed in usability when tested by healthy participants, using BETSY (Behavior, Emotion, Therapy System, and You) which uses 2 distinct interfaces: a digital human with anthropomorphic features and a text-only user interface. We also set out to explore how chatbot-generated conversations on mental health (specific to each interface) affected self-reported feelings and biometrics. METHODS We explored to what extent a digital human with anthropomorphic features differed from a traditional text-only chatbot regarding perception of usability through the System Usability Scale, emotional reactions through electroencephalography, and feelings of closeness. Healthy participants (n=45) were randomized to 2 groups that used a digital human with anthropomorphic features (n=25) or a text-only chatbot with no such features (n=20). The groups were compared by linear regression analysis and t tests. RESULTS No differences were observed between the text-only and digital human groups regarding demographic features. The mean System Usability Scale score was 75.34 (SD 10.01; range 57-90) for the text-only chatbot versus 64.80 (SD 14.14; range 40-90) for the digital human interface. Both groups scored their respective chatbot interfaces as average or above average in usability. Women were more likely to report feeling annoyed by BETSY. CONCLUSIONS The text-only chatbot was perceived as significantly more user-friendly than the digital human, although there were no significant differences in electroencephalography measurements. Male participants exhibited lower levels of annoyance with both interfaces, contrary to previously reported findings.
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Affiliation(s)
- Almira Osmanovic Thunström
- Region Västra Götaland, Psychiatric Department, Sahlgrenska University Hospital, Gothenburg, Sweden
- Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Hanne Krage Carlsen
- Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Centre of Registers, Gothenburg, Sweden
| | - Lilas Ali
- Region Västra Götaland, Psychiatric Department, Sahlgrenska University Hospital, Gothenburg, Sweden
- Institute of Health Care Sciences, Centre for Person-Centred Care, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Centre for Person-Centred Care, University of Gothenburg, Gothenburg, Sweden
| | - Tomas Larson
- Region Västra Götaland, Psychiatric Department, Sahlgrenska University Hospital, Gothenburg, Sweden
- Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Andreas Hellström
- Department of Technology Management and Economics, Chalmers University of Technology, Gothenburg, Sweden
| | - Steinn Steingrimsson
- Region Västra Götaland, Psychiatric Department, Sahlgrenska University Hospital, Gothenburg, Sweden
- Section of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Messer M, Fuller-Tyszkiewicz M, Liu C, Anderson C, Linardon J. A randomized controlled trial of an online single session intervention for body image in individuals with recurrent binge eating. Int J Eat Disord 2024. [PMID: 38619359 DOI: 10.1002/eat.24213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/27/2024] [Accepted: 03/28/2024] [Indexed: 04/16/2024]
Abstract
OBJECTIVE Theoretical models highlight body image disturbances as central to the maintenance of eating disorders, with empirical evidence finding negative body image to be a robust predictor of treatment nonresponse, relapse and symptom persistence. Accessible, scalable, and inexpensive interventions that can effectively target negative body image across the eating disorders are needed. We developed an online single session intervention (SSI) for negative body image and evaluated its acceptability and efficacy in a randomized controlled trial in individuals with recurrent binge eating. METHOD Participants with recurrent binge eating were randomly assigned to the SSI (n = 99) or a waitlist (n = 101). Assessments were conducted at baseline, 4 week follow-up, and 8 week follow-up. RESULTS 81% of participants accessed the SSI, demonstrating reasonable uptake. However, issues with attrition were apparent; a 32% study dropout rate was observed at posttest, while a 58% dropout rate was observed at follow-up. 87% of participants who completed satisfaction measures would recommend the SSI. SSI participants experienced greater improvements in negative body image at both 4 (d = -0.65) and 8 week (d = -0.74) follow-up. Significant between-group effects were also observed on most other secondary symptom measures, though no differences were found for motivations and help-seeking beliefs and intentions. CONCLUSION Body image-focused self-guided SSIs for recurrent binge are largely accepted by those who are retained in the trial, but are associated with significant attrition. Although SSIs are not intended to replace standard treatment, they may help with short-term symptom management and could play an important role in eating disorder care. PUBLIC SIGNIFICANCE Single session interventions (SSI) are a potentially accessible, scalable, and cost-effective way to deliver evidence-based treatment content to people with eating disorders. This study shows that an online (SSI) designed to target body image among people with recurrent binge eating is accepted and produced short-term symptom relief.
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Affiliation(s)
- Mariel Messer
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Matthew Fuller-Tyszkiewicz
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Center for Social and Early Emotional Development, Deakin University, Burwood, Victoria, Australia
| | - Claudia Liu
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Cleo Anderson
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Jake Linardon
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Center for Social and Early Emotional Development, Deakin University, Burwood, Victoria, Australia
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Zhang X, Lewis S, Chen X, Zhou J, Wang X, Bucci S. Acceptability and experience of a smartphone symptom monitoring app for people with psychosis in China (YouXin): a qualitative study. BMC Psychiatry 2024; 24:268. [PMID: 38594713 PMCID: PMC11003104 DOI: 10.1186/s12888-024-05687-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 03/14/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Access to high-quality mental healthcare remains challenging for people with psychosis globally, including China. Smartphone-based symptom monitoring has the potential to support scalable mental healthcare. However, no such tool, until now, has been developed and evaluated for people with psychosis in China. This study investigated the acceptability and the experience of using a symptom self-monitoring smartphone app (YouXin) specifically developed for people with psychosis in China. METHODS Semi-structured interviews were conducted with 10 participants with psychosis to explore the acceptability of YouXin. Participants were recruited from the non-randomised feasibility study that tested the validity, feasibility, acceptability and safety of the YouXin app. Data analysis was guided by the theoretical framework of acceptability. RESULTS Most participants felt the app was acceptable and easy to use, and no unbearable burdens or opportunity costs were reported. Participants found completing the self-monitoring app rewarding and experienced a sense of achievement. Privacy and data security were not major concerns for participants, largely due to trust in their treating hospital around data protection. Participants found the app easy to use and attributed this to the training provided at the beginning of the study. A few participants said they had built some form of relationship with the app and would miss the app when the study finished. CONCLUSIONS The YouXin app is acceptable for symptom self-monitoring in people with experience of psychosis in China. Participants gained greater insights about their symptoms by using the YouXin app. As we only collected retrospective acceptability in this study, future studies are warranted to assess hypothetical acceptability before the commencement of study to provide a more comprehensive understanding of implementation.
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Affiliation(s)
- Xiaolong Zhang
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Shôn Lewis
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Xu Chen
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jiaojiao Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xingyu Wang
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.
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Allan S, Ward T, Eisner E, Bell IH, Cella M, Chaudhry IB, Torous J, Kiran T, Kabir T, Priyam A, Richardson C, Reininghaus U, Schick A, Schwannauer M, Syrett S, Zhang X, Bucci S. Adverse Events Reporting in Digital Interventions Evaluations for Psychosis: A Systematic Literature Search and Individual Level Content Analysis of Adverse Event Reports. Schizophr Bull 2024:sbae031. [PMID: 38581410 DOI: 10.1093/schbul/sbae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/08/2024]
Abstract
BACKGROUND Digital health interventions (DHIs) have significant potential to upscale treatment access to people experiencing psychosis but raise questions around patient safety. Adverse event (AE) monitoring is used to identify, record, and manage safety issues in clinical trials, but little is known about the specific content and context contained within extant AE reports. This study aimed to assess current AE reporting in DHIs. STUDY DESIGN A systematic literature search was conducted by the iCharts network (representing academic, clinical, and experts by experience) to identify trials of DHIs in psychosis. Authors were invited to share AE reports recorded in their trials. A content analysis was conducted on the shared reports. STUDY RESULTS We identified 593 AE reports from 18 DHI evaluations, yielding 19 codes. Only 29 AEs (4.9% of total) were preidentified by those who shared AEs as being related to the intervention or trial procedures. While overall results support the safety of DHIs, DHIs were linked to mood problems and psychosis exacerbation in a few cases. Additionally, 27% of studies did not report information on relatedness for all or at least some AEs; 9.6% of AE reports were coded as unclear because it could not be determined what had happened to participants. CONCLUSIONS The results support the safety of DHIs, but AEs must be routinely monitored and evaluated according to best practice. Individual-level analyses of AEs have merit to understand safety in this emerging field. Recommendations for best practice reporting in future studies are provided.
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Affiliation(s)
- Stephanie Allan
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Thomas Ward
- School of Mental Health and Psychological Sciences, Department of Psychology Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- South London & Maudsley NHS Foundation Trust, London, UK
| | - Emily Eisner
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
| | - Imogen H Bell
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Matteo Cella
- School of Mental Health and Psychological Sciences, Department of Psychology Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- South London & Maudsley NHS Foundation Trust, London, UK
| | - Imran B Chaudhry
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
- Ziauddin University and Hospital Karachi, Karachi, Pakistan
- Pakistan Institute of Living & Learning, Karachi, Pakistan
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Tayyeba Kiran
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Thomas Kabir
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Aansha Priyam
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
| | - Cara Richardson
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
| | - Ulrich Reininghaus
- School of Mental Health and Psychological Sciences, Department of Psychology Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Anita Schick
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Matthias Schwannauer
- Department of Clinical and Health Psychology, School of Health in Social Science, University of Edinburgh, Edinburgh, UK
| | - Suzy Syrett
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Xiaolong Zhang
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
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Wimbarti S, Kairupan BHR, Tallei TE. Critical review of self-diagnosis of mental health conditions using artificial intelligence. Int J Ment Health Nurs 2024; 33:344-358. [PMID: 38345132 DOI: 10.1111/inm.13303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/26/2024] [Accepted: 01/30/2024] [Indexed: 03/10/2024]
Abstract
The advent of artificial intelligence (AI) has revolutionised various aspects of our lives, including mental health nursing. AI-driven tools and applications have provided a convenient and accessible means for individuals to assess their mental well-being within the confines of their homes. Nonetheless, the widespread trend of self-diagnosing mental health conditions through AI poses considerable risks. This review article examines the perils associated with relying on AI for self-diagnosis in mental health, highlighting the constraints and possible adverse outcomes that can arise from such practices. It delves into the ethical, psychological, and social implications, underscoring the vital role of mental health professionals, including psychologists, psychiatrists, and nursing specialists, in providing professional assistance and guidance. This article aims to highlight the importance of seeking professional assistance and guidance in addressing mental health concerns, especially in the era of AI-driven self-diagnosis.
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Affiliation(s)
- Supra Wimbarti
- Faculty of Psychology, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - B H Ralph Kairupan
- Department of Psychiatry, Faculty of Medicine, Sam Ratulangi University, Manado, North Sulawesi, Indonesia
| | - Trina Ekawati Tallei
- Department of Biology, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado, North Sulawesi, Indonesia
- Department of Biology, Faculty of Medicine, Sam Ratulangi University, Manado, North Sulawesi, Indonesia
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Lemon CA, Svob C, Bonomo Y, Dhungana S, Supanya S, Sittanomai N, Diatri H, Haider II, Javed A, Chandra P, Herrman H, Hoven CW, Sartorius N. Priorities for research promoting mental health in the south and east of Asia. THE LANCET REGIONAL HEALTH. SOUTHEAST ASIA 2024; 23:100287. [PMID: 38404519 PMCID: PMC10884971 DOI: 10.1016/j.lansea.2023.100287] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 09/11/2023] [Accepted: 09/16/2023] [Indexed: 02/27/2024]
Abstract
Progress in promoting mental health, preventing mental illness, and improving care for people affected by mental illness is unlikely to occur if efforts remain separated from existing public health programs and the principles of public health action. Experts met recently to discuss integrating public health and mental health strategies in the south and east of Asia, especially in low- and middle-income countries. Areas of research identified as high priority were: 1) integrating mental health into perinatal care; 2) providing culturally-adjusted support for carers of people with mental and physical disorders; 3) using digital health technologies for mental health care in areas with limited resources and 4) building local research capacity. Selection of these areas was informed by their relative novelty in the region, ease of implementation, likely widespread benefit, and potential low costs. In this article, we summarise available evidence, highlight gaps and call for collaborations with research centres, leaders and persons with lived experience within and beyond the region.
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Affiliation(s)
- Christopher A. Lemon
- NorthWestern Mental Health, The Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Connie Svob
- Department of Psychiatry, College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, United States of America
| | - Yvonne Bonomo
- Department of Medicine, Faculty of Medicine, Dentistry & Health Sciences, University of Melbourne, Victoria, Australia
- Department of Addiction Medicine, St Vincent's Hospital, Melbourne, Australia
| | - Saraswati Dhungana
- Department of Psychiatry, Institute of Medicine, Tribhuvan University, Nepal
| | - Suttha Supanya
- Somdet Chaopraya Institute of Psychiatry, Department of Mental Health, Bangkok, Thailand
| | - Napat Sittanomai
- Division of Child and Adolescent Psychiatry, Department of Paediatrics, Faculty of Medicine, Siriraj Hospital, Bangkok, Thailand
| | - Hervita Diatri
- Department of Psychiatry, Faculty Medicine Universitas Indonesia and Dr. Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia
| | | | - Afzal Javed
- Pakistan Psychiatric Research Centre, Fountain House, Lahore, Pakistan
| | - Prabha Chandra
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India
| | - Helen Herrman
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Christina W. Hoven
- Department of Psychiatry, College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, United States of America
| | - Norman Sartorius
- Association for the Improvement of Mental Health Programmes (AMH), Geneva, Switzerland
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Levin CE, Tauscher J, Meller S, Brian RM, Buck BE, Ben-Zeev D. Cost of Implementing mHealth in Community Mental Health Settings: External Versus Internal Facilitation. Psychiatr Serv 2024; 75:357-362. [PMID: 37880968 PMCID: PMC11124360 DOI: 10.1176/appi.ps.20230140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2023]
Abstract
OBJECTIVE This study aimed to compare the costs of two implementation models for the mobile health (mHealth) intervention FOCUS in community mental health settings. The external facilitation (EF) approach uses a hub-and-spoke model, in which a central specialist provides support to clinicians and clients at multiple agencies. With the internal facilitation (IF) approach, frontline clinical staff at each center are trained to serve as their organization's local specialists. METHODS Financial and economic cost data were collected in the context of a hybrid type 3 effectiveness-implementation trial by using a mixed-methods, top-down expenditure analysis with microcosting approaches. The analysis compared the incremental costs of both models and the costs of successfully engaging clients (N=210) at 20 centers. Costs were characterized as start-up or recurrent (personnel, supplies, contracted services, and indirect costs). RESULTS The average annual financial cost per site was $23,517 for EF and $19,118 for IF. EF yielded more FOCUS users at each center, such that the average monthly financial costs were lower for EF ($167 per client [N=129]) than for IF ($177 per client [N=81]). When using a real-world scenario based on economic costs and a lower organizational indirect rate, the average monthly cost per client was $73 for EF and $59 for IF. Both models reflected substantial cost reductions (about 50%) relative to a previous deployment of FOCUS in a clinical trial. CONCLUSIONS Compared with IF, EF yielded more clients who received mHealth at community mental health centers and had comparable or lower costs.
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Affiliation(s)
| | - Justin Tauscher
- Department of Psychiatry and Behavioral Sciences, University of Washington
| | | | - Rachel M. Brian
- Department of Psychiatry and Behavioral Sciences, University of Washington
| | - Benjamin E. Buck
- Department of Psychiatry and Behavioral Sciences, University of Washington
| | - Dror Ben-Zeev
- Department of Psychiatry and Behavioral Sciences, University of Washington
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Fuller-Tyszkiewicz M, Messer M, Krug I, Linardon J. Digital health applications for eating disorders treatment. Trends Mol Med 2024; 30:324-326. [PMID: 37996311 DOI: 10.1016/j.molmed.2023.11.004] [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: 09/26/2023] [Revised: 10/31/2023] [Accepted: 11/06/2023] [Indexed: 11/25/2023]
Abstract
Eating disorders (EDs) are characterized by multifaceted etiologies, difficulties in accessing care (especially in regional locations), and variable responsiveness to treatments. Digital technologies are viewed as an important innovation in the assessment and treatment of EDs. We discuss current implementation of these innovations as well as important future directions for the field.
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Affiliation(s)
| | - Mariel Messer
- Deakin University, SEED-Lifespan, School of Psychology, Faculty of Health, Geelong, VIC, Australia
| | - Isabel Krug
- University of Melbourne, School of Psychological Sciences, Melbourne, VIC, Australia
| | - Jake Linardon
- Deakin University, SEED-Lifespan, School of Psychology, Faculty of Health, Geelong, VIC, Australia
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Narayan SM, Wan EY, Andrade JG, Avari Silva JN, Bhatia NK, Deneke T, Deshmukh AJ, Chon KH, Erickson L, Ghanbari H, Noseworthy PA, Pathak RK, Roelle L, Seiler A, Singh JP, Srivatsa UN, Trela A, Tsiperfal A, Varma N, Yousuf OK. Visions for digital integrated cardiovascular care: HRS Digital Health Committee perspectives. CARDIOVASCULAR DIGITAL HEALTH JOURNAL 2024; 5:37-49. [PMID: 38765620 PMCID: PMC11096652 DOI: 10.1016/j.cvdhj.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024] Open
Affiliation(s)
| | - Elaine Y Wan
- Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | | | | | | | | | | | - Ki H Chon
- University of Connecticut, Storrs, Connecticut
| | | | | | | | | | - Lisa Roelle
- Washington University School of Medicine, Saint Louis, Missouri
| | | | - Jagmeet P Singh
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Anthony Trela
- Lucile Packard Children's Hospital, Palo Alto, California
| | - Angela Tsiperfal
- Stanford Arrhythmia Service, Stanford Healthcare, Palo Alto, California
| | | | - Omair K Yousuf
- Inova Heart and Vascular Institute; Carient Heart and Vascular; and University of Virginia Health, Fairfax, Virginia
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Karkosz S, Szymański R, Sanna K, Michałowski J. Effectiveness of a Web-based and Mobile Therapy Chatbot on Anxiety and Depressive Symptoms in Subclinical Young Adults: Randomized Controlled Trial. JMIR Form Res 2024; 8:e47960. [PMID: 38506892 PMCID: PMC10993129 DOI: 10.2196/47960] [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: 04/06/2023] [Revised: 08/09/2023] [Accepted: 08/10/2023] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND There has been an increased need to provide specialized help for people with depressive and anxiety symptoms, particularly teenagers and young adults. There is evidence from a 2-week intervention that chatbots (eg, Woebot) are effective in reducing depression and anxiety, an effect that was not detected in the control group that was provided self-help materials. Although chatbots are a promising solution, there is limited scientific evidence for the efficacy of agent-guided cognitive behavioral therapy (CBT) outside the English language, especially for highly inflected languages. OBJECTIVE This study aimed to measure the efficacy of Fido, a therapy chatbot that uses the Polish language. It targets depressive and anxiety symptoms using CBT techniques. We hypothesized that participants using Fido would show a greater reduction in anxiety and depressive symptoms than the control group. METHODS We conducted a 2-arm, open-label, randomized controlled trial with 81 participants with subclinical depression or anxiety who were recruited via social media. Participants were divided into experimental (interacted with a fully automated Fido chatbot) and control (received a self-help book) groups. Both intervention methods addressed topics such as general psychoeducation and cognitive distortion identification and modification via Socratic questioning. The chatbot also featured suicidal ideation identification and redirection to suicide hotlines. We used self-assessment scales to measure primary outcomes, including the levels of depression, anxiety, worry tendencies, satisfaction with life, and loneliness at baseline, after the 2-week intervention and at the 1-month follow-up. We also controlled for secondary outcomes, including engagement and frequency of use. RESULTS There were no differences in anxiety and depressive symptoms between the groups at enrollment and baseline. After the intervention, depressive and anxiety symptoms were reduced in both groups (chatbot: n=36; control: n=38), which remained stable at the 1-month follow-up. Loneliness was not significantly different between the groups after the intervention, but an exploratory analysis showed a decline in loneliness among participants who used Fido more frequently. Both groups used their intervention technique with similar frequency; however, the control group spent more time (mean 117.57, SD 72.40 minutes) on the intervention than the Fido group (mean 79.44, SD 42.96 minutes). CONCLUSIONS We did not replicate the findings from previous (eg, Woebot) studies, as both arms yielded therapeutic effects. However, such results are in line with other research of Internet interventions. Nevertheless, Fido provided sufficient help to reduce anxiety and depressive symptoms and decreased perceived loneliness among high-frequency users, which is one of the first pieces of evidence of chatbot efficacy with agents that use a highly inflected language. Further research is needed to determine the long-term, real-world effectiveness of Fido and its efficacy in a clinical sample. TRIAL REGISTRATION ClinicalTrials.gov NCT05762939; https://clinicaltrials.gov/study/NCT05762939; Open Science Foundation Registry 2cqt3; https://osf.io/2cqt3.
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Affiliation(s)
- Stanisław Karkosz
- Laboratory of Affective Neuroscience in Poznan, SWPS University, Warsaw, Poland
| | - Robert Szymański
- Laboratory of Affective Neuroscience in Poznan, SWPS University, Warsaw, Poland
| | - Katarzyna Sanna
- Center for Research on Personality Development in Poznan, SWPS University, Warsaw, Poland
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Taylor A, tom Dieck MC, Jung T, Cho J, Kwon O. XR and mental wellbeing: state of the art and future research directions for the Metaverse. Front Psychol 2024; 15:1360260. [PMID: 38524293 PMCID: PMC10959091 DOI: 10.3389/fpsyg.2024.1360260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 02/15/2024] [Indexed: 03/26/2024] Open
Abstract
Introduction The purpose of this study is to provide an overview of extant research regarding XR technology and its effect on consumer wellbeing. With the hopes of informing marketing practitioners on XR consumer psychology, in preparation for the Metaverse. Methods To achieve the above aim, two types of analysis took place. Firstly, a bibliometric analysis was conducted which was then followed by a framework-based structured literature review. The latter entailed an analysis of 81 articles evaluated from a positive psychological approach. Findings Following the TCCM framework, the analysis revealed the most common psychological theories demonstrating potential avenues for XR to impact consumer wellbeing. Moreover, researchers found preliminary links between, theory, characteristics, and contexts. Giving a preliminary description of how theory manifests into reality. Finally, the overview of extant literature was used to propose new avenues for future research pertaining to marketing, the Metaverse, and consumer effects. Conclusion In conclusion, the paper provides stakeholder insights which can ensure minimal consumer risk and sustainable use of the XR technology and Metaverse. While addressing the need for more research that uncovers the psychological effects of emerging technologies, so to prepare for the Metaverse. This is especially important when considering the current upsurge of these technologies and the uncertainties associated with their novelty and the idea of an 'always on' consumer.
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Affiliation(s)
- Alexandra Taylor
- AR and VR Hub, Manchester Metropolitan University, Manchester, United Kingdom
| | | | - Timothy Jung
- AR and VR Hub, Manchester Metropolitan University, Manchester, United Kingdom
- School of Management, Kyung Hee University, Seoul, Republic of Korea
| | - Justin Cho
- AR and VR Hub, Manchester Metropolitan University, Manchester, United Kingdom
| | - Ohbyung Kwon
- School of Management, Kyung Hee University, Seoul, Republic of Korea
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Bell IH, Eisner E, Allan S, Cartner S, Torous J, Bucci S, Thomas N. Methodological Characteristics and Feasibility of Ecological Momentary Assessment Studies in Psychosis: a Systematic Review and Meta-Analysis. Schizophr Bull 2024; 50:238-265. [PMID: 37606276 PMCID: PMC10919779 DOI: 10.1093/schbul/sbad127] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
BACKGROUND Ecological momentary assessment (EMA) involves completing multiple surveys over time in daily life, capturing in-the-moment experiences in real-world contexts. EMA use in psychosis studies has surged over several decades. To critically examine EMA use in psychosis research and assist future researchers in designing new EMA studies, this systematic review aimed to summarize the methodological approaches used for positive symptoms in psychosis populations and evaluate feasibility with a focus on completion rates. METHODS A systematic review of PubMed, PsycINFO, MEDLINE, Web of Science, EBSCOhost, and Embase databases using search terms related to EMA and psychosis was conducted. Excluding duplicate samples, a meta-analysis was conducted of EMA survey completion rates and meta-regression to examine predictors of completion. RESULTS Sixty-eight studies were included in the review. Characteristics and reporting of EMA methodologies were variable across studies. The meta-mean EMA survey completion computed from the 39 unique studies that reported a mean completion rate was 67.15% (95% CI = 62.3, 71.9), with an average of 86.25% of the sample meeting a one-third EMA completion criterion. No significant predictors of completion were found in the meta-regression. A variety of EMA items were used to measure psychotic experiences, of which few were validated. CONCLUSIONS EMA methods have been widely applied in psychosis studies using a range of protocols. Completion rates are high, providing clear evidence of feasibility in psychosis populations. Recommendations for reporting in future studies are provided.
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Affiliation(s)
- Imogen H Bell
- Orygen The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Emily Eisner
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
| | | | - Sharla Cartner
- Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
| | - Neil Thomas
- Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia
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Lukka L, Karhulahti VM, Bergman VR, Palva JM. Measuring digital intervention user experience with a novel ecological momentary assessment (EMA) method, CORTO. Internet Interv 2024; 35:100706. [PMID: 38274123 PMCID: PMC10808917 DOI: 10.1016/j.invent.2023.100706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/22/2023] [Accepted: 12/30/2023] [Indexed: 01/27/2024] Open
Abstract
Digital interventions often suffer from low usage, which may reflect insufficient attention to user experience. Moreover, the existing evaluation methods have limited applicability in the remote study of user experience of complex interventions that have expansive content and that are used over an extensive period of time. To alleviate these challenges, we describe here a novel qualitative Ecological Momentary Assessment (EMA) method: the CORTO method (Contextual, One-item, Repeated, Timely, Open-ended). We used it to gather digital intervention user experience data from Finnish adults (n = 184) who lived with interview-confirmed major depressive disorder (MDD) and took part in a randomized controlled trial (RCT) that studied the efficacy of a novel 12-week game-based digital intervention for depression. A second dataset on user experience was gathered with retrospective interviews (n = 22). We inductively coded the CORTO method and retrospective interview data, which led to four user experience categories: (1) contextual use, (2) interaction-elicited emotional experience, (3) usability, and (4) technical issues. Then, we used the created user experience categories and Template Analysis to analyze both datasets together, and reported the results qualitatively. Finally, we compared the two datasets with each other. We found that the data generated with the CORTO method offered more insights into usability and technical categories than the interview data that particularly illustrated the contextual use. The emotional valence of the interview data was more positive compared with the CORTO data. Both the CORTO and interview data detected 55 % of the micro-level categories; 20 % of micro-level categories were only detected by the CORTO data and 25 % only by the interview data. We found that the during-intervention user experience measurement with the CORTO method can provide intervention-specific insights, and thereby further the iterative user-centered intervention development. Overall, these findings highlight the impact of evaluation methods on the categories and qualities of insights acquired in intervention research.
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Affiliation(s)
- Lauri Lukka
- Department of Neuroscience and Biomedical Engineering, Aalto University, Finland
| | | | - Vilma-Reetta Bergman
- Department of Neuroscience and Biomedical Engineering, Aalto University, Finland
| | - J. Matias Palva
- Department of Neuroscience and Biomedical Engineering, Aalto University, Finland
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Finland
- Centre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, United Kingdom
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Fuhr DC, Wolf-Ostermann K, Hoel V, Zeeb H. [Digital technologies to improve mental health]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2024; 67:332-338. [PMID: 38294700 DOI: 10.1007/s00103-024-03842-4] [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: 08/23/2023] [Accepted: 01/26/2024] [Indexed: 02/01/2024]
Abstract
The burden of mental diseases is enormous and constantly growing worldwide. The resulting increase in demand for psychosocial help is also having a negative impact on waiting times for psychotherapy in Germany. Digital interventions for mental health, such as interventions delivered through or with the help of a website (e.g. "telehealth"), smartphone, or tablet app-based interventions and interventions that use text messages or virtual reality, can help. This article begins with an overview of the functions and range of applications of digital technologies for mental health. The evidence for individual digital forms of interventions is addressed. Overall, it is shown that digital interventions for mental health are likely to be cost-effective compared to no therapy or a non-therapeutic control group. Newer approaches such as "digital phenotyping" are explained in the article. Finally, individual papers from the "Leibniz ScienceCampus Digital Public Health" are presented, and limitations and challenges of technologies for mental health are discussed.
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Affiliation(s)
- Daniela C Fuhr
- Abteilung für Evaluation und Prävention, Leibniz Institut für Präventionsforschung und Epidemiologie, Achterstr. 30, 28359, Bremen, Deutschland.
- Gesundheitswissenschaften, Universität Bremen, Bremen, Deutschland.
| | - Karin Wolf-Ostermann
- Institut für Public Health und Pflegeforschung, Universität Bremen, Bremen, Deutschland
| | - Viktoria Hoel
- Institut für Public Health und Pflegeforschung, Universität Bremen, Bremen, Deutschland
| | - Hajo Zeeb
- Abteilung für Evaluation und Prävention, Leibniz Institut für Präventionsforschung und Epidemiologie, Achterstr. 30, 28359, Bremen, Deutschland
- Gesundheitswissenschaften, Universität Bremen, Bremen, Deutschland
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Timko C, Lewis M, Lor MC, Aldaco-Revilla L, Blonigen D, Ilgen M. Hazardous Drinking Interventions Delivered During Medical-Surgical Care: Patient and Provider Views. J Clin Psychol Med Settings 2024; 31:224-235. [PMID: 36959430 PMCID: PMC10035972 DOI: 10.1007/s10880-023-09954-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2023] [Indexed: 03/25/2023]
Abstract
Addressing hazardous drinking during medical-surgical care improves patients' health. This formative evaluation examined patients' consideration of options to change drinking and engage in treatment. It explored whether interventions such as "DO-MoST" overcome treatment barriers. We interviewed 20 medical-surgical patients with hazardous drinking in a trial of DO-MoST, and 16 providers. Analyses used a directed content approach. Patients were receptive to and comfortable discussing drinking during medical-surgical care. Interventions like DO-MoST (patient-centered, motivational approach to shared decision making) addressed some treatment barriers. Patients and providers viewed such interventions as helpful by building a relationship with a psychologist who facilitated self-awareness of drinking behaviors, and discussing connections between alcohol- and physical health-related problems and potential strategies to address drinking. However, both groups expressed concerns about individual and system-level barriers to long-term change. Interventions like DO-MoST bridge the gap between the patient's medical treatment episode and transition to other health care settings. TRIAL REGISTRATION: The study is registered on ClinicalTrials.gov (ID: NCT03258632).
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Affiliation(s)
- Christine Timko
- Department of Veterans Affairs, Center for Innovation to Implementation, VA Palo Alto Health Care System, 795 Willow Rd. (152-MPD), Menlo Park, CA, 94025, USA.
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd, Stanford, CA, 94305, USA.
| | - Mandy Lewis
- VA Center for Clinical Management Research (CCMR), North Campus Research Complex, 2800 Plymouth Rd., Building 16, Ann Arbor, MI, 48109, USA
- Department of Psychiatry, North Campus Research Complex, University of Michigan, 2800 Plymouth Rd., Building 16, Ann Arbor, MI, 48109, USA
| | - Mai Chee Lor
- Department of Veterans Affairs, Center for Innovation to Implementation, VA Palo Alto Health Care System, 795 Willow Rd. (152-MPD), Menlo Park, CA, 94025, USA
| | - Laura Aldaco-Revilla
- VA Center for Clinical Management Research (CCMR), North Campus Research Complex, 2800 Plymouth Rd., Building 16, Ann Arbor, MI, 48109, USA
- Department of Psychiatry, North Campus Research Complex, University of Michigan, 2800 Plymouth Rd., Building 16, Ann Arbor, MI, 48109, USA
| | - Daniel Blonigen
- Department of Veterans Affairs, Center for Innovation to Implementation, VA Palo Alto Health Care System, 795 Willow Rd. (152-MPD), Menlo Park, CA, 94025, USA
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd, Stanford, CA, 94305, USA
| | - Mark Ilgen
- VA Center for Clinical Management Research (CCMR), North Campus Research Complex, 2800 Plymouth Rd., Building 16, Ann Arbor, MI, 48109, USA
- Department of Psychiatry, North Campus Research Complex, University of Michigan, 2800 Plymouth Rd., Building 16, Ann Arbor, MI, 48109, USA
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50
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Kowalski L, Finnes A, Koch S, Bujacz A. User engagement with organizational mHealth stress management intervention - A mixed methods study. Internet Interv 2024; 35:100704. [PMID: 38268709 PMCID: PMC10806331 DOI: 10.1016/j.invent.2023.100704] [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: 06/30/2023] [Revised: 12/22/2023] [Accepted: 12/30/2023] [Indexed: 01/26/2024] Open
Abstract
Mobile health (mHealth) demonstrates great promise for providing effective and accessible interventions within an organizational context. Compared with traditional workplace interventions, mHealth solutions may be significantly more scalable and easier to standardize. However, inadequate user engagement is a major challenge with mHealth solutions that can negatively impact the potential benefits of an intervention. More research is needed to better understand how to ensure sufficient engagement, which is essential for designing and implementing effective interventions. To address this issue, this study employed a mixed methods approach to investigate what factors influence user engagement with an organizational mHealth intervention. Quantitative data were collected using surveys (n = 1267), and semi-structured interviews were conducted with a subset of participants (n = 17). Primary findings indicate that short and consistent interactions as well as user intention are key drivers of engagement. These results may inform future development of interventions to increase engagement and effectiveness.
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Affiliation(s)
- Leo Kowalski
- Department of Learning, Informatics, Management and Ethics, Health Informatics Centre, Karolinska Institutet, Tomtebodavägen 18a, 171 65 Solna, Stockholm, Sweden
| | - Anna Finnes
- Department of Clinical Neuroscience, Division of Psychology, Karolinska Institutet, Nobels Väg 9, 171 65 Solna, Stockholm, Sweden
- Academic Primary Healthcare Centre, Region Stockholm, Solnavägen 1E, 113 65, Stockholm, Sweden
| | - Sabine Koch
- Department of Learning, Informatics, Management and Ethics, Health Informatics Centre, Karolinska Institutet, Tomtebodavägen 18a, 171 65 Solna, Stockholm, Sweden
| | - Aleksandra Bujacz
- Department of Learning, Informatics, Management and Ethics, Health Informatics Centre, Karolinska Institutet, Tomtebodavägen 18a, 171 65 Solna, Stockholm, Sweden
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