1
|
Alon N, Macrynikola N, Jester DJ, Keshavan M, Reynolds CF, Saxena S, Thomas ML, Torous J, Jeste DV. Social determinants of mental health in major depressive disorder: Umbrella review of 26 meta-analyses and systematic reviews. Psychiatry Res 2024; 335:115854. [PMID: 38554496 DOI: 10.1016/j.psychres.2024.115854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 04/01/2024]
Abstract
There is a growing recognition of the impact of social determinants of mental health (SDoMHs) on people with, or at risk of, developing serious mental illnesses. Yet it is not known how associations of individual SDoMHs with risk for major depressive disorder (MDD) vary and roughly compare with one another. Following PRISMA guidelines, this umbrella review included 26 meta-analyses and systematic reviews that reported odds ratios, effect sizes, and/or pooled prevalence rates of MDD in samples with versus without specified SDoMHs. Childhood emotional, physical, or sexual abuse and neglect; intimate partner violence in females; and food insecurity were significantly associated with increased risk of MDD, with medium effect sizes. Natural disasters, terrorist acts, and military combat during deployment had small-size adverse effects, and homelessness, incarceration, and migration were associated with significantly elevated prevalence of MDD. Conversely, higher levels of parental care were significantly associated with reduced risk of MDD with medium effect sizes. Evidence supports the use of certain interventions at the individual and community level that can reduce the impact of these factors and promote health, although much more research is warranted in this area along with meaningful healthcare and societal policies to accomplish this goal.
Collapse
Affiliation(s)
- Noy Alon
- Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Natalia Macrynikola
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Dylan J Jester
- Women's Operational Military Exposure Network Center of Excellence (WOMEN CoE), VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Shekhar Saxena
- Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Michael L Thomas
- Department of Psychology, Colorado State University, Fort Collins, CO, USA
| | - John Torous
- Department of Psychiatry, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Dilip V Jeste
- Global Research Network on Social Determinants of Health, La Jolla, CA, USA.
| |
Collapse
|
2
|
Torous J, 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, Cipriani A. Digital health interventions for schizophrenia: Setting standards for mental health. Schizophr Res 2024; 267:392-395. [PMID: 38640849 DOI: 10.1016/j.schres.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/02/2024] [Accepted: 04/08/2024] [Indexed: 04/21/2024]
Affiliation(s)
- John Torous
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02446, USA.
| | - Katharine A Smith
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK; Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Amy Hardy
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London & Maudsley NHS Foundation Trust, London, UK
| | | | - Charlotte Blease
- Participatory eHealth and Health Data Research Group, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden; Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA
| | | | - Diego Hidalgo-Mazzei
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Catalonia, Spain; Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain; Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Experimental Psychology, University of Oxford, UK
| | - Sinead Lambe
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK; Department of Experimental Psychology, University of Oxford, UK
| | - Lisa Marzano
- School of Science and Technology, Middlesex University, UK
| | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK; Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Child and Adolescent Psychiatry, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Edoardo G Ostinelli
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK; Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Gerard Anmella
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Catalonia, Spain; Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain; Biomedical Research Networking Centre Consortium on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences (UBNeuro), University of Barcelona (UB), Barcelona, Catalonia, Spain
| | - Caroline Zangani
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK; Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Rosario Aronica
- Fondazione IRCCS Ca' Granda- Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, 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 02446, USA
| | - Andrea Cipriani
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK; Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| |
Collapse
|
3
|
Torous J, Firth J, Goldberg SB. Digital Mental Health's Unstable Dichotomy-Wellness and Health. JAMA Psychiatry 2024:2817600. [PMID: 38630496 DOI: 10.1001/jamapsychiatry.2024.0532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/24/2024]
Abstract
This Viewpoint discusses the unacknowledged risks and harms and unrealized clinical benefits of digital mental wellness and health technologies and offers suggestions for ways to catalyze the next phase of these technologies by focusing on safety, evidence, and engagement.
Collapse
Affiliation(s)
- John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom
| | - Simon B Goldberg
- Department of Counseling Psychology, University of Wisconsin-Madison
- Center for Healthy Minds, University of Wisconsin-Madison
| |
Collapse
|
4
|
Alon N, Perret S, Cohen A, Partiquin M, LeMelle S, Boyd C, Aguilera J, Reat C, Hough E, Walsh J, Dwyer B, Hogan J, Smith AH, Torous J. Digital Navigator Training to Increase Access to Mental Health Care in Community-Based Organizations. Psychiatr Serv 2024:appips20230391. [PMID: 38595120 DOI: 10.1176/appi.ps.20230391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Providing human support for users of behavioral health technology can help facilitate the necessary engagement and clinical integration of digital tools in mental health care. A team conducted digital navigator training that taught participants how to promote patrons' digital literacy, evaluate and recommend health apps, and interpret smartphone data. The authors trained 80 participants from 21 organizations, demonstrating this training's feasibility, acceptability, and need. Case studies explore the implementation of this training curriculum. As technology's potential in mental health care expands, training can empower digital navigators to ensure that the use of digital tools is informed, equitable, and clinically relevant.
Collapse
Affiliation(s)
- Noy Alon
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Sarah Perret
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Amy Cohen
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Michelle Partiquin
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Stephanie LeMelle
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Chasee Boyd
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Jacqueline Aguilera
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Cristen Reat
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Elise Hough
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Jessica Walsh
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Bridget Dwyer
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Julianna Hogan
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - Ashley Helm Smith
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| | - John Torous
- Beth Israel Deaconess Medical Center, Boston (Alon, Perret, Dwyer, Torous); Clinical Support System for Serious Mental Illness, American Psychiatric Association, Washington, D.C. (Cohen); The Menninger Clinic, Houston (Partiquin, Boyd); Easter Seals Greater Houston, Houston (Partiquin, Reat, Hough); Columbia University Medical Center and New York State Psychiatric Institute, New York City (LeMelle); Mayor's Office for Adult Literacy, Houston (Aguilera); Michael E. DeBakey Department of Veterans Affairs (VA) Medical Center, Houston (Walsh, Hogan, Smith)
| |
Collapse
|
5
|
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] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| |
Collapse
|
6
|
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. [PMID: 38574251 DOI: 10.1089/tmj.2024.0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [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.
Collapse
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
| |
Collapse
|
7
|
de Azevedo Cardoso T, Kochhar S, Torous J, Morton E. Digital Tools to Facilitate the Detection and Treatment of Bipolar Disorder: Key Developments and Future Directions. JMIR Ment Health 2024; 11:e58631. [PMID: 38557724 PMCID: PMC11019420 DOI: 10.2196/58631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 03/25/2024] [Accepted: 03/25/2024] [Indexed: 04/04/2024] Open
Abstract
Bipolar disorder (BD) impacts over 40 million people around the world, often manifesting in early adulthood and substantially impacting the quality of life and functioning of individuals. Although early interventions are associated with a better prognosis, the early detection of BD is challenging given the high degree of similarity with other psychiatric conditions, including major depressive disorder, which corroborates the high rates of misdiagnosis. Further, BD has a chronic, relapsing course, and the majority of patients will go on to experience mood relapses despite pharmacological treatment. Digital technologies present promising results to augment early detection of symptoms and enhance BD treatment. In this editorial, we will discuss current findings on the use of digital technologies in the field of BD, while debating the challenges associated with their implementation in clinical practice and the future directions.
Collapse
Affiliation(s)
- Taiane de Azevedo Cardoso
- The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia
- JMIR Publications, Toronto, ON, Canada
| | | | - John Torous
- Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Emma Morton
- School of Psychological Sciences, Monash University, Clayton, Australia
| |
Collapse
|
8
|
Macrynikola N, Mir Z, Gopal T, Rodriguez E, Li S, Cox M, Yeh G, Torous J. The impact of mindfulness apps on psychological processes of change: a systematic review. Npj Ment Health Res 2024; 3:14. [PMID: 38609511 PMCID: PMC10955957 DOI: 10.1038/s44184-023-00048-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 12/08/2023] [Indexed: 04/14/2024]
Abstract
Mindfulness-based interventions (MBIs) have demonstrated therapeutic efficacy for various psychological conditions, and smartphone apps that facilitate mindfulness practice can enhance the reach and impact of MBIs. The goal of this review was to summarize the published evidence on the impact of mindfulness apps on the psychological processes known to mediate transdiagnostic symptom reduction after mindfulness practice. A literature search from January 1, 1993, to August 7, 2023 was conducted on three databases, and 28 randomized controlled trials involving 5963 adults were included. Across these 28 studies, 67 outcome comparisons were made between a mindfulness app group and a control group. Between-group effects tended to favor the mindfulness app group over the control group in three psychological process domains: repetitive negative thinking, attention regulation, and decentering/defusion. Findings were mixed in other domains (i.e., awareness, nonreactivity, non-judgment, positive affect, and acceptance). The range of populations examined, methodological concerns across studies, and problems with sustained app engagement likely contributed to mixed findings. However, effect sizes tended to be moderate to large when effects were found, and gains tended to persist at follow-up assessments two to six months later. More research is needed to better understand the impact of these apps on psychological processes of change. Clinicians interested in integrating apps into care should consider app-related factors beyond evidence of a clinical foundation and use app databases to identify suitable apps for their patients, as highlighted at the end of this review.
Collapse
Affiliation(s)
- Natalia Macrynikola
- Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA, USA.
| | - Zareen Mir
- Teacher's College, Columbia University, New York, NY, USA
| | | | | | - Sunnie Li
- Northeastern University, Boston, MA, USA
| | - Milann Cox
- Penn State College of Medicine, Hershey, PA, USA
| | - Gloria Yeh
- Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA, USA
| | - John Torous
- Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA, USA
| |
Collapse
|
9
|
Wannan CMJ, Nelson B, Addington J, Allott K, Anticevic A, Arango C, Baker JT, Bearden CE, Billah T, Bouix S, Broome MR, Buccilli K, Cadenhead KS, Calkins ME, Cannon TD, Cecci G, Chen EYH, Cho KIK, Choi J, Clark SR, Coleman MJ, Conus P, Corcoran CM, Cornblatt BA, Diaz-Caneja CM, Dwyer D, Ebdrup BH, Ellman LM, Fusar-Poli P, Galindo L, Gaspar PA, Gerber C, Glenthøj LB, Glynn R, Harms MP, Horton LE, Kahn RS, Kambeitz J, Kambeitz-Ilankovic L, Kane JM, Kapur T, Keshavan MS, Kim SW, Koutsouleris N, Kubicki M, Kwon JS, Langbein K, Lewandowski KE, Light GA, Mamah D, Marcy PJ, Mathalon DH, McGorry PD, Mittal VA, Nordentoft M, Nunez A, Pasternak O, Pearlson GD, Perez J, Perkins DO, Powers AR, Roalf DR, Sabb FW, Schiffman J, Shah JL, Smesny S, Spark J, Stone WS, Strauss GP, Tamayo Z, Torous J, Upthegrove R, Vangel M, Verma S, Wang J, Rossum IWV, Wolf DH, Wolff P, Wood SJ, Yung AR, Agurto C, Alvarez-Jimenez M, Amminger P, Armando M, Asgari-Targhi A, Cahill J, Carrión RE, Castro E, Cetin-Karayumak S, Mallar Chakravarty M, Cho YT, Cotter D, D'Alfonso S, Ennis M, Fadnavis S, Fonteneau C, Gao C, Gupta T, Gur RE, Gur RC, Hamilton HK, Hoftman GD, Jacobs GR, Jarcho J, Ji JL, Kohler CG, Lalousis PA, Lavoie S, Lepage M, Liebenthal E, Mervis J, Murty V, Nicholas SC, Ning L, Penzel N, Poldrack R, Polosecki P, Pratt DN, Rabin R, Rahimi Eichi H, Rathi Y, Reichenberg A, Reinen J, Rogers J, Ruiz-Yu B, Scott I, Seitz-Holland J, Srihari VH, Srivastava A, Thompson A, Turetsky BI, Walsh BC, Whitford T, Wigman JTW, Yao B, Yuen HP, Ahmed U, Byun AJS, Chung Y, Do K, Hendricks L, Huynh K, Jeffries C, Lane E, Langholm C, Lin E, Mantua V, Santorelli G, Ruparel K, Zoupou E, Adasme T, Addamo L, Adery L, Ali M, Auther A, Aversa S, Baek SH, Bates K, Bathery A, Bayer JMM, Beedham R, Bilgrami Z, Birch S, Bonoldi I, Borders O, Borgatti R, Brown L, Bruna A, Carrington H, Castillo-Passi RI, Chen J, Cheng N, Ching AE, Clifford C, Colton BL, Contreras P, Corral S, Damiani S, Done M, Estradé A, Etuka BA, Formica M, Furlan R, Geljic M, Germano C, Getachew R, Goncalves M, Haidar A, Hartmann J, Jo A, John O, Kerins S, Kerr M, Kesselring I, Kim H, Kim N, Kinney K, Krcmar M, Kotler E, Lafanechere M, Lee C, Llerena J, Markiewicz C, Matnejl P, Maturana A, Mavambu A, Mayol-Troncoso R, McDonnell A, McGowan A, McLaughlin D, McIlhenny R, McQueen B, Mebrahtu Y, Mensi M, Hui CLM, Suen YN, Wong SMY, Morrell N, Omar M, Partridge A, Phassouliotis C, Pichiecchio A, Politi P, Porter C, Provenzani U, Prunier N, Raj J, Ray S, Rayner V, Reyes M, Reynolds K, Rush S, Salinas C, Shetty J, Snowball C, Tod S, Turra-Fariña G, Valle D, Veale S, Whitson S, Wickham A, Youn S, Zamorano F, Zavaglia E, Zinberg J, Woods SW, Shenton ME. Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis. Schizophr Bull 2024:sbae011. [PMID: 38451304 DOI: 10.1093/schbul/sbae011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.
Collapse
Affiliation(s)
- Cassandra M J Wannan
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Barnaby Nelson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Kelly Allott
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Instituto de Salud Carlos III, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Justin T Baker
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Carrie E Bearden
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Tashrif Billah
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sylvain Bouix
- Department of Software Engineering and Information Technology, École de technologie supérieure, Montréal, Canada
| | - Matthew R Broome
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
- Early Intervention for Psychosis Services, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Kate Buccilli
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
| | | | - Eric Yu Hai Chen
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Kang Ik K Cho
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jimmy Choi
- Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, CT, USA
| | - Scott R Clark
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Basil Hetzel Institute, Woodville, SA, Australia
| | - Michael J Coleman
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Philippe Conus
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Cheryl M Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barbara A Cornblatt
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Covadonga M Diaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Instituto de Salud Carlos III, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Dominic Dwyer
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Bjørn H Ebdrup
- Centre for Neuropsychiatric Schizophrenia Research, CNSR Mental Health Centre, Glostrup, Copenhagen, Denmark
| | - Lauren M Ellman
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Liliana Galindo
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Pablo A Gaspar
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Carla Gerber
- Behavioral Health Services, PeaceHealth Medical Group, Eugene, OR, USA
| | - Louise Birkedal Glenthøj
- Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Robert Glynn
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health and Harvard Medical School, Boston, MA, USA
| | - Michael P Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Leslie E Horton
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph Kambeitz
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Tina Kapur
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
- Mindlink, Gwangju Bukgu Mental Health Center, Gwangju, Korea
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich, Munich, Germany
| | - Marek Kubicki
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Kathryn E Lewandowski
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Gregory A Light
- Department of Psychiatry, University of California, San Diego, CA, USA
- Veterans Affairs San Diego Health Care System, San Diego, CA, USA
| | - Daniel Mamah
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | | | - Daniel H Mathalon
- Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Mental Health Service 116D, Veterans Affairs San Francisco Health Care System, San Francisco, CA, USA
| | - Patrick D McGorry
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Angela Nunez
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Ofer Pasternak
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, CT, USA
| | - Jesus Perez
- CAMEO, Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Department of Medicine, Institute of Biomedical Research (IBSAL), Universidad de Salamanca, Salamanca, Spain
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Albert R Powers
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - David R Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Fred W Sabb
- Prevention Science Institute, University of Oregon, Eugene, OR, USA
| | - Jason Schiffman
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Jai L Shah
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Jessica Spark
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | | | - Zailyn Tamayo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - John Torous
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Rachel Upthegrove
- Department of Software Engineering and Information Technology, École de technologie supérieure, Montréal, Canada
- Birmingham Womens and Childrens, NHS Foundation Trust, Birmingham, UK
| | - Mark Vangel
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Swapna Verma
- Department of Psychosis, Institute of Mental Health, Singapore
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Inge Winter-van Rossum
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Phillip Wolff
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Stephen J Wood
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
- School of Psychology, University of Birmingham, Edgbaston, UK
| | - Alison R Yung
- Institute of Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Carla Agurto
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Mario Alvarez-Jimenez
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Paul Amminger
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Marco Armando
- Youth Early Detection/Intervention in Psychosis Platform (Plateforme ERA), Service of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital and The University of Lausanne, Lausanne, Switzerland
| | | | - John Cahill
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Ricardo E Carrión
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Eduardo Castro
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Suheyla Cetin-Karayumak
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - Youngsun T Cho
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - David Cotter
- Department Psychiatry, Beaumont Hospital, Dublin 9, Ireland
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin 2, Ireland
| | - Simon D'Alfonso
- School of Computing and Information Systems, The University of Melbourne, Parkville, VIC, Australia
| | - Michaela Ennis
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Shreyas Fadnavis
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Clara Fonteneau
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Caroline Gao
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Tina Gupta
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Holly K Hamilton
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Gil D Hoftman
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Grace R Jacobs
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Johanna Jarcho
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Christian G Kohler
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Paris Alexandros Lalousis
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Suzie Lavoie
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Einat Liebenthal
- Program for Specialized Treatment Early in Psychosis (STEP), CMHC, New Haven, CT, USA
| | - Josh Mervis
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Vishnu Murty
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Spero C Nicholas
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Lipeng Ning
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Nora Penzel
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Russell Poldrack
- Department of Psychology, Stanford University, Stanford, CA, USA
| | | | - Danielle N Pratt
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Rachel Rabin
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
| | | | - Yogesh Rathi
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Avraham Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jenna Reinen
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Jack Rogers
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Bernalyn Ruiz-Yu
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Isabelle Scott
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Vinod H Srihari
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Program for Specialized Treatment Early in Psychosis (STEP), CMHC, New Haven, CT, USA
| | - Agrima Srivastava
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew Thompson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Bruce I Turetsky
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Barbara C Walsh
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Thomas Whitford
- Orygen, Parkville, VIC, Australia
- School of Psychology, University of New South Wales (UNSW), Kensington, NSW, Australia
| | - Johanna T W Wigman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center,Groningen, Netherlands
| | - Beier Yao
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Hok Pan Yuen
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Andrew Jin Soo Byun
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Yoonho Chung
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Kim Do
- Department of Psychiatry, Center for Psychiatric Neuroscience, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience King's College London, London, UK
| | - Larry Hendricks
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Kevin Huynh
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Clark Jeffries
- Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Erlend Lane
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Carsten Langholm
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Eric Lin
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
- Medical Informatics Fellowship, Veteran Affairs Boston Healthcare System, Boston, MA, USA
- Food and Drug Administration, Silver Spring, MD, USA
| | - Valentina Mantua
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Gennarina Santorelli
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Kosha Ruparel
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Eirini Zoupou
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Tatiana Adasme
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Lauren Addamo
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Laura Adery
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Munaza Ali
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Andrea Auther
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Samantha Aversa
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
| | - Seon-Hwa Baek
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
- Mindlink, Gwangju Bukgu Mental Health Center, Gwangju, Korea
| | - Kelly Bates
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Alyssa Bathery
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Johanna M M Bayer
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Rebecca Beedham
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Zarina Bilgrami
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Sonia Birch
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Ilaria Bonoldi
- Department of Psychosis Studies, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Owen Borders
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Renato Borgatti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | - Lisa Brown
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Alejandro Bruna
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Holly Carrington
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rolando I Castillo-Passi
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
- Department of Neurology and Psychiatry, Clínica Alemana-Universidad del Desarrollo, Santiago, Chile
| | - Justine Chen
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nicholas Cheng
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Ann Ee Ching
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Chloe Clifford
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
| | - Beau-Luke Colton
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Pamela Contreras
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Sebastián Corral
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Stefano Damiani
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Monica Done
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Andrés Estradé
- Early Psychosis Detection and Clinical Intervention (EPIC) Lab, Department of Psychosis Studies, King's College London, London, UK
| | - Brandon Asika Etuka
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Melanie Formica
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Rachel Furlan
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Mia Geljic
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Carmela Germano
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Ruth Getachew
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Anastasia Haidar
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica Hartmann
- Department of Public Mental Health, Central Institute of Mental Health, Heidelberg Univeristy, Mannheim, Germany
| | - Anna Jo
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Omar John
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Kerins
- Early Psychosis Detection and Clinical Intervention (EPIC) Lab, Department of Psychosis Studies, King's College London, London, UK
| | - Melissa Kerr
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Irena Kesselring
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Honey Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Nicholas Kim
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kyle Kinney
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Marija Krcmar
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Elana Kotler
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Melanie Lafanechere
- School of Psychology, University of Birmingham, Edgbaston, UK
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Clarice Lee
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Joshua Llerena
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | | | | | - Aissata Mavambu
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
| | | | - Amelia McDonnell
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Alessia McGowan
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Rebecca McIlhenny
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Brittany McQueen
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Yohannes Mebrahtu
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Martina Mensi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | | | - Yi Nam Suen
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | | | - Neal Morrell
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Mariam Omar
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Alice Partridge
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Christina Phassouliotis
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Anna Pichiecchio
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy
| | - Pierluigi Politi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Christian Porter
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Umberto Provenzani
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Nicholas Prunier
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jasmine Raj
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Susan Ray
- Northwell Health, Glen Oaks, NY, USA
| | - Victoria Rayner
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Manuel Reyes
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
- Department of Neurology and Psychiatry, Clínica Alemana-Universidad del Desarrollo, Santiago, Chile
| | - Kate Reynolds
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Sage Rush
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Cesar Salinas
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Jashmina Shetty
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Callum Snowball
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Sophie Tod
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Daniela Valle
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Simone Veale
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Whitson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Alana Wickham
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Youn
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Francisco Zamorano
- Unidad de imágenes cuantitativas avanzadas, departamento de imágenes, clínica alemana, universidad del Desarrollo, Santiago, Chile
- Facultad de ciencias para el cuidado de la salud, Universidad San Sebastián, Campus Los Leones, Santiago, Chile
| | - Elissa Zavaglia
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
| | - Jamie Zinberg
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Martha E Shenton
- Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
10
|
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] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| |
Collapse
|
11
|
Hartstein GL, Peck P, Yellowlees P, Torous J. Psychotherapy in the Digital Era: A Case for Hybrid Care and Remote Therapeutic Monitoring. Harv Rev Psychiatry 2024; 32:63-69. [PMID: 38452286 DOI: 10.1097/hrp.0000000000000393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Affiliation(s)
- George Luke Hartstein
- From Harvard Medical School (Drs. Hartstein, Peck, and Torous); Department of Psychiatry and Behavioral Sciences, University of California, Davis (Dr. Yellowlees)
| | | | | | | |
Collapse
|
12
|
Blease C, Worthen A, Torous J. Psychiatrists' experiences and opinions of generative artificial intelligence in mental healthcare: An online mixed methods survey. Psychiatry Res 2024; 333:115724. [PMID: 38244285 DOI: 10.1016/j.psychres.2024.115724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/02/2024] [Accepted: 01/05/2024] [Indexed: 01/22/2024]
Abstract
Following the launch of ChatGPT in November 2022, interest in large language model (LLM)-powered chatbots has surged with increasing focus on the clinical potential of these tools. Missing from this discussion, however, are the perspectives of physicians. The current study aimed to explore psychiatrists' experiences and opinions on this new generation of chatbots in mental health care. An online survey including both quantitative and qualitative responses was distributed to a non-probability sample of psychiatrists affiliated with the American Psychiatric Association. Findings revealed 44 % of psychiatrists had used OpenAI's ChatGPT-3.5 and 33 % had used GPT-4.0 "to assist with answering clinical questions." Administrative tasks were cited as a major benefit of these tools: 70 % somewhat agreed/agreed "documentation will be/is more efficient". Three in four psychiatrists (75 %) somewhat agreed/agreed "the majority of their patients will consult these tools before first seeing a doctor". Nine in ten somewhat agreed/agreed that clinicians need more support/training in understanding these tools. Open-ended responses reflected these opinions but respondents also expressed divergent opinions on the value of generative AI in clinical practice, including its impact on the future of the profession.
Collapse
Affiliation(s)
- Charlotte Blease
- Participatory eHeath and Health Data Research Group, Department of Women's and Children's Health, Uppsala University, Uppala, Sweden; Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, -Harvard Medical School, Boston, MA 02115, USA.
| | | | - John Torous
- Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, -Harvard Medical School, Boston, MA 02115, USA
| |
Collapse
|
13
|
Torous J, Blease C. Generative artificial intelligence in mental health care: potential benefits and current challenges. World Psychiatry 2024; 23:1-2. [PMID: 38214643 PMCID: PMC10785974 DOI: 10.1002/wps.21148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2024] Open
Affiliation(s)
- John Torous
- Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Charlotte Blease
- Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| |
Collapse
|
14
|
Torous J, Blease C. Return of Results in Digital Phenotyping: Ethical Considerations for Real-World Use Cases. Am J Bioeth 2024; 24:91-93. [PMID: 38295252 DOI: 10.1080/15265161.2024.2298146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Affiliation(s)
- John Torous
- Beth Israel Deaconess Medical Center, Harvard Medical School
| | - Charlotte Blease
- Beth Israel Deaconess Medical Center, Harvard Medical School
- Uppsala University
| |
Collapse
|
15
|
Sawyer C, Hassan L, Sainsbury J, Carney R, Bucci S, Burgess H, Lovell K, Torous J, Firth J. Using digital technology to promote physical health in mental healthcare: A sequential mixed-methods study of clinicians' views. Early Interv Psychiatry 2024; 18:140-152. [PMID: 37318221 DOI: 10.1111/eip.13441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/02/2023] [Accepted: 05/05/2023] [Indexed: 06/16/2023]
Abstract
AIM Recent years have seen innovation in 'mHealth' tools and health apps for the management/promotion of physical health and fitness across the general population. However, there is limited research on how this could be applied to mental healthcare. Therefore, we examined mental healthcare professionals' current uses and perceived roles of digital lifestyle interventions for promoting healthy lifestyles, physical health and fitness in youth mental healthcare. METHODS A sequential, mixed-methods design was used, consisting of a quantitative online survey, followed by qualitative in-depth interviews. RESULTS A total of 127 mental healthcare professionals participated in the online survey. Participants had limited mHealth experience, and the majority agreed that further training would be beneficial. Thirteen mental healthcare professionals were interviewed. Five themes were generated (i) digital technology's ability to enhance the physical healthcare; (ii) Conditions for the acceptability of apps; (iii) Limitations on staff capability and time; (iv) Motivation as the principal barrier; and (v) Practicalities around receiving lifestyle data. Systematic integration of data produced novel insights around: (i) staff involvement and needs; (ii) ideal focus and content of digital lifestyle interventions; and (iii) barriers towards implementation (including mental healthcare professionals own limited experience using digital lifestyle interventions, which aligned with the appeal of formal training). CONCLUSIONS Overall, digital lifestyle interventions were positively received by mental healthcare professionals, particularly for health behaviour-tracking and mHealth support for exercise and nutrition. Practical suggestions for facilitating their uptake/implementation to improve availability of physical health interventions in mental healthcare are presented.
Collapse
Affiliation(s)
- Chelsea Sawyer
- Division of Psychology and Mental Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Lamiece Hassan
- Division of Psychology and Mental Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - John Sainsbury
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Rebekah Carney
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Sandra Bucci
- Division of Psychology and Mental Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Harriet Burgess
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Karina Lovell
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - John Torous
- Beth Israel Deaconness Medical Centre, Harvard Medical School, Boston, Massachusetts, USA
| | - Joseph Firth
- Division of Psychology and Mental Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| |
Collapse
|
16
|
Linardon J, Torous J, Firth J, Cuijpers P, Messer M, Fuller-Tyszkiewicz M. Current evidence on the efficacy of mental health smartphone apps for symptoms of depression and anxiety. A meta-analysis of 176 randomized controlled trials. World Psychiatry 2024; 23:139-149. [PMID: 38214614 PMCID: PMC10785982 DOI: 10.1002/wps.21183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2024] Open
Abstract
The mental health care available for depression and anxiety has recently undergone a major technological revolution, with growing interest towards the potential of smartphone apps as a scalable tool to treat these conditions. Since the last comprehensive meta-analysis in 2019 established positive yet variable effects of apps on depressive and anxiety symptoms, more than 100 new randomized controlled trials (RCTs) have been carried out. We conducted an updated meta-analysis with the objectives of providing more precise estimates of effects, quantifying generalizability from this evidence base, and understanding whether major app and trial characteristics moderate effect sizes. We included 176 RCTs that aimed to treat depressive or anxiety symptoms. Apps had overall significant although small effects on symptoms of depression (N=33,567, g=0.28, p<0.001; number needed to treat, NNT=11.5) and generalized anxiety (N=22,394, g=0.26, p<0.001, NNT=12.4) as compared to control groups. These effects were robust at different follow-ups and after removing small sample and higher risk of bias trials. There was less variability in outcome scores at post-test in app compared to control conditions (ratio of variance, RoV=-0.14, 95% CI: -0.24 to -0.05 for depressive symptoms; RoV=-0.21, 95% CI: -0.31 to -0.12 for generalized anxiety symptoms). Effect sizes for depression were significantly larger when apps incorporated cognitive behavioral therapy (CBT) features or included chatbot technology. Effect sizes for anxiety were significantly larger when trials had generalized anxiety as a primary target and administered a CBT app or an app with mood monitoring features. We found evidence of moderate effects of apps on social anxiety (g=0.52) and obsessive-compulsive (g=0.51) symptoms, a small effect on post-traumatic stress symptoms (g=0.12), a large effect on acrophobia symptoms (g=0.90), and a non-significant negative effect on panic symptoms (g=-0.12), although these results should be considered with caution, because most trials had high risk of bias and were based on small sample sizes. We conclude that apps have overall small but significant effects on symptoms of depression and generalized anxiety, and that specific features of apps - such as CBT or mood monitoring features and chatbot technology - are associated with larger effect sizes.
Collapse
Affiliation(s)
- Jake Linardon
- School of Psychology, Deakin University, Geelong, VIC, Australia
- Center for Social and Early Emotional Development, Deakin University, Burwood, VIC, Australia
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Joseph Firth
- Division of Psychology and Mental Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Pim Cuijpers
- Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- International Institute for Psychotherapy, Babes¸-Bolyai University, Cluj-Napoca, Romania
| | - Mariel Messer
- School of Psychology, Deakin University, Geelong, VIC, Australia
| | - Matthew Fuller-Tyszkiewicz
- School of Psychology, Deakin University, Geelong, VIC, Australia
- Center for Social and Early Emotional Development, Deakin University, Burwood, VIC, Australia
| |
Collapse
|
17
|
Joshi P, Hendrie K, Jester DJ, Dasarathy D, Lavretsky H, Ku BS, Leutwyler H, Torous J, Jeste DV, Tampi RR. Social connections as determinants of cognitive health and as targets for social interventions in persons with or at risk of Alzheimer's disease and related disorders: a scoping review. Int Psychogeriatr 2024; 36:92-118. [PMID: 37994532 DOI: 10.1017/s1041610223000923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
BACKGROUND Social connections have a significant impact on health across age groups, including older adults. Loneliness and social isolation are known risk factors for Alzheimer's disease and related dementias (ADRD). Yet, we did not find a review focused on meta-analyses and systematic reviews of studies that had examined associations of social connections with cognitive decline and trials of technology-based and other social interventions to enhance social connections in people with ADRD. STUDY DESIGN We conducted a scoping review of 11 meta-analyses and systematic reviews of social connections as possible determinants of cognitive decline in older adults with or at risk of developing ADRD. We also examined eight systematic reviews of technology-based and other social interventions in persons with ADRD. STUDY RESULTS The strongest evidence for an association of social connections with lower risk of cognitive decline was related to social engagement and social activities. There was also evidence linking social network size to cognitive function or cognitive decline, but it was not consistently significant. A number of, though not all, studies reported a significant association of marital status with risk of ADRD. Surprisingly, evidence showing that social support reduces the risk of ADRD was weak. To varying degrees, technology-based and other social interventions designed to reduce loneliness in people with ADRD improved social connections and activities as well as quality of life but had no significant impact on cognition. We discuss strengths and limitations of the studies included. CONCLUSIONS Social engagement and social activities seem to be the most consistent components of social connections for improving cognitive health among individuals with or at risk for ADRD. Socially focused technology-based and other social interventions aid in improving social activities and connections and deserve more research.
Collapse
Affiliation(s)
- Pallavi Joshi
- Psychiatry Department, Banner University Medical Center, and University of Arizona College of Medicine, Phoenix, AZ, USA
| | - Kyle Hendrie
- Psychiatry Department, Banner University Medical Center, and University of Arizona College of Medicine, Phoenix, AZ, USA
| | - Dylan J Jester
- Women's Operational Military Exposure Network (WOMEN), VA Palo Alto Health Care System, Palo Alto, CA, USA
| | | | - Helen Lavretsky
- Department of Psychiatry, University of California, Los Angeles, CA, USA
| | - Benson S Ku
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Heather Leutwyler
- Department of Physiological Nursing, University of California, San Francisco, CA, USA
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess medical Center and Harvard Medical School, Boston, MA, USA
| | - Dilip V Jeste
- Global Research Network on Social Determinants of Mental Health and Exposomics, La Jolla, CA, USA
| | - Rajesh R Tampi
- Department of Psychiatry, Creighton University School of Medicine, Omaha, NE, USA
| |
Collapse
|
18
|
Lim CT, Fuchs C, Torous J. Integrated Digital Mental Health Care: A Vision for Addressing Population Mental Health Needs. Int J Gen Med 2024; 17:359-365. [PMID: 38318335 PMCID: PMC10840519 DOI: 10.2147/ijgm.s449474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 01/10/2024] [Indexed: 02/07/2024] Open
Abstract
The unmet need for mental health care continues to rise across the world. This article synthesizes the evidence supporting the components of a hypothetical model of integrated digital mental health care to meet population-wide mental health needs. This proposed model integrates two approaches to broadening timely access to effective care: integrated, primary care-based mental health services and digital mental health tools. The model solves for several of the key challenges historically faced by digital health, through promoting digital literacy and access, the curation of evidence-based digital tools, integration into clinical practice, and electronic medical record integration. This model builds upon momentum toward the integration of mental health services within primary care and aligns with the principles of the Collaborative Care Model. Finally, the authors present the major next steps toward implementation of integrated digital mental health care at scale.
Collapse
Affiliation(s)
- Christopher T Lim
- Department of Psychiatry, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Population Health Services, Boston Medical Center Health System, Boston, MA, USA
| | - Cara Fuchs
- Department of Psychiatry, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
19
|
Blease C, Torous J, McMillan B, Hägglund M, Mandl KD. Generative Language Models and Open Notes: Exploring the Promise and Limitations. JMIR Med Educ 2024; 10:e51183. [PMID: 38175688 PMCID: PMC10797501 DOI: 10.2196/51183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/30/2023] [Accepted: 11/10/2023] [Indexed: 01/05/2024]
Abstract
Patients' online record access (ORA) is growing worldwide. In some countries, including the United States and Sweden, access is advanced with patients obtaining rapid access to their full records on the web including laboratory and test results, lists of prescribed medications, vaccinations, and even the very narrative reports written by clinicians (the latter, commonly referred to as "open notes"). In the United States, patient's ORA is also available in a downloadable form for use with other apps. While survey studies have shown that some patients report many benefits from ORA, there remain challenges with implementation around writing clinical documentation that patients may now read. With ORA, the functionality of the record is evolving; it is no longer only an aide memoire for doctors but also a communication tool for patients. Studies suggest that clinicians are changing how they write documentation, inviting worries about accuracy and completeness. Other concerns include work burdens; while few objective studies have examined the impact of ORA on workload, some research suggests that clinicians are spending more time writing notes and answering queries related to patients' records. Aimed at addressing some of these concerns, clinician and patient education strategies have been proposed. In this viewpoint paper, we explore these approaches and suggest another longer-term strategy: the use of generative artificial intelligence (AI) to support clinicians in documenting narrative summaries that patients will find easier to understand. Applied to narrative clinical documentation, we suggest that such approaches may significantly help preserve the accuracy of notes, strengthen writing clarity and signals of empathy and patient-centered care, and serve as a buffer against documentation work burdens. However, we also consider the current risks associated with existing generative AI. We emphasize that for this innovation to play a key role in ORA, the cocreation of clinical notes will be imperative. We also caution that clinicians will need to be supported in how to work alongside generative AI to optimize its considerable potential.
Collapse
Affiliation(s)
- Charlotte Blease
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - John Torous
- Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Brian McMillan
- Centre for Primary Care and Health Services Research, University of Manchester, Manchester, United Kingdom
| | - Maria Hägglund
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Medtech Science & Innovation Centre, Uppsala University Hospital, Uppsala, Sweden
| | - Kenneth D Mandl
- Computational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
20
|
Lenze E, Torous J, Arean P. Digital and precision clinical trials: innovations for testing mental health medications, devices, and psychosocial treatments. Neuropsychopharmacology 2024; 49:205-214. [PMID: 37550438 PMCID: PMC10700595 DOI: 10.1038/s41386-023-01664-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/05/2023] [Accepted: 07/10/2023] [Indexed: 08/09/2023]
Abstract
Mental health treatment advances - including neuropsychiatric medications and devices, psychotherapies, and cognitive treatments - lag behind other fields of clinical medicine such as cardiovascular care. One reason for this gap is the traditional techniques used in mental health clinical trials, which slow the pace of progress, produce inequities in care, and undermine precision medicine goals. Newer techniques and methodologies, which we term digital and precision trials, offer solutions. These techniques consist of (1) decentralized (i.e., fully-remote) trials which improve the speed and quality of clinical trials and increase equity of access to research, (2) precision measurement which improves success rate and is essential for precision medicine, and (3) digital interventions, which offer increased reach of, and equity of access to, evidence-based treatments. These techniques and their rationales are described in detail, along with challenges and solutions for their utilization. We conclude with a vignette of a depression clinical trial using these techniques.
Collapse
Affiliation(s)
- Eric Lenze
- Departments of Psychiatry and Anesthesiology, Washington University School of Medicine, St Louis, MO, USA.
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Patricia Arean
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| |
Collapse
|
21
|
Lenze E, Torous J, Arean P. Correction: Digital and precision clinical trials: innovations for testing mental health medications, devices, and psychosocial treatments. Neuropsychopharmacology 2024; 49:298. [PMID: 37783841 PMCID: PMC10700295 DOI: 10.1038/s41386-023-01746-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Affiliation(s)
- Eric Lenze
- Department of Psychiatry and Anesthesiology, Washington University School of Medicine, St Louis, MO, USA.
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Patricia Arean
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| |
Collapse
|
22
|
Breitinger S, Gardea-Resendez M, Langholm C, Xiong A, Laivell J, Stoppel C, Harper L, Volety R, Walker A, D'Mello R, Byun AJS, Zandi P, Goes FS, Frye M, Torous J. Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study. J Med Internet Res 2023; 25:e47006. [PMID: 38157233 PMCID: PMC10787337 DOI: 10.2196/47006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 09/04/2023] [Accepted: 11/20/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND In the burgeoning area of clinical digital phenotyping research, there is a dearth of literature that details methodology, including the key challenges and dilemmas in developing and implementing a successful architecture for technological infrastructure, patient engagement, longitudinal study participation, and successful reporting and analysis of diverse passive and active digital data streams. OBJECTIVE This article provides a narrative rationale for our study design in the context of the current evidence base and best practices, with an emphasis on our initial lessons learned from the implementation challenges and successes of this digital phenotyping study. METHODS We describe the design and implementation approach for a digital phenotyping pilot feasibility study with attention to synthesizing key literature and the reasoning for pragmatic adaptations in implementing a multisite study encompassing distinct geographic and population settings. This methodology was used to recruit patients as study participants with a clinician-validated diagnostic history of unipolar depression, bipolar I disorder, or bipolar II disorder, or healthy controls in 2 geographically distinct health care systems for a longitudinal digital phenotyping study of mood disorders. RESULTS We describe the feasibility of a multisite digital phenotyping pilot study for patients with mood disorders in terms of passively and actively collected phenotyping data quality and enrollment of patients. Overall data quality (assessed as the amount of sensor data obtained vs expected) was high compared to that in related studies. Results were reported on the relevant demographic features of study participants, revealing recruitment properties of age (mean subgroup age ranged from 31 years in the healthy control subgroup to 38 years in the bipolar I disorder subgroup), sex (predominance of female participants, with 7/11, 64% females in the bipolar II disorder subgroup), and smartphone operating system (iOS vs Android; iOS ranged from 7/11, 64% in the bipolar II disorder subgroup to 29/32, 91% in the healthy control subgroup). We also described implementation considerations around digital phenotyping research for mood disorders and other psychiatric conditions. CONCLUSIONS Digital phenotyping in affective disorders is feasible on both Android and iOS smartphones, and the resulting data quality using an open-source platform is higher than that in comparable studies. While the digital phenotyping data quality was independent of gender and race, the reported demographic features of study participants revealed important information on possible selection biases that may result from naturalistic research in this domain. We believe that the methodology described will be readily reproducible and generalizable to other study settings and patient populations given our data on deployment at 2 unique sites.
Collapse
Affiliation(s)
- Scott Breitinger
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | | | | | - Ashley Xiong
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Joseph Laivell
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Cynthia Stoppel
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Laura Harper
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Rama Volety
- Research Application Solutions Unit, Mayo Clinic, Rochester, MN, United States
| | - Alex Walker
- Johns Hopkins University, Baltimore, MD, United States
| | - Ryan D'Mello
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| | | | - Peter Zandi
- Johns Hopkins University, Baltimore, MD, United States
| | | | - Mark Frye
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - John Torous
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| |
Collapse
|
23
|
Langholm C, Breitinger S, Gray L, Goes F, Walker A, Xiong A, Stopel C, Zandi P, Frye MA, Torous J. Classifying and clustering mood disorder patients using smartphone data from a feasibility study. NPJ Digit Med 2023; 6:238. [PMID: 38129571 PMCID: PMC10739731 DOI: 10.1038/s41746-023-00977-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023] Open
Abstract
Differentiating between bipolar disorder and major depressive disorder can be challenging for clinicians. The diagnostic process might benefit from new ways of monitoring the phenotypes of these disorders. Smartphone data might offer insight in this regard. Today, smartphones collect dense, multimodal data from which behavioral metrics can be derived. Distinct patterns in these metrics have the potential to differentiate the two conditions. To examine the feasibility of smartphone-based phenotyping, two study sites (Mayo Clinic, Johns Hopkins University) recruited patients with bipolar I disorder (BPI), bipolar II disorder (BPII), major depressive disorder (MDD), and undiagnosed controls for a 12-week observational study. On their smartphones, study participants used a digital phenotyping app (mindLAMP) for data collection. While in use, mindLAMP gathered real-time geolocation, accelerometer, and screen-state (on/off) data. mindLAMP was also used for EMA delivery. MindLAMP data was then used as input variables in binary classification, three-group k-nearest neighbors (KNN) classification, and k-means clustering. The best-performing binary classification model was able to classify patients as control or non-control with an AUC of 0.91 (random forest). The model that performed best at classifying patients as having MDD or bipolar I/II had an AUC of 0.62 (logistic regression). The k-means clustering model had a silhouette score of 0.46 and an ARI of 0.27. Results support the potential for digital phenotyping methods to cluster depression, bipolar disorder, and healthy controls. However, due to inconsistencies in accuracy, more data streams are required before these methods can be applied to clinical practice.
Collapse
Affiliation(s)
- Carsten Langholm
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA
| | - Scott Breitinger
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, 55902, USA
| | - Lucy Gray
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA
| | - Fernando Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21218, USA
| | - Alex Walker
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21218, USA
| | - Ashley Xiong
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, 55902, USA
| | - Cindy Stopel
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, 55902, USA
| | - Peter Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, 21218, USA
| | - Mark A Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, 55902, USA
| | - John Torous
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA.
| |
Collapse
|
24
|
Mishkind M, Shore JH, Barrett R, Caudill R, Chiu A, Hilty D, Idigo OB, Kaftarian E, Khan S, Krupinski EA, Malik TS, Thackaberry J, Torous J, Yellowlees P. Resource Document on Best Practices in Synchronous Videoconferencing-Based Telemental Health. Telemed J E Health 2023. [PMID: 38054938 DOI: 10.1089/tmj.2023.0174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023] Open
Abstract
Background: This document represents an updated collaboration between the American Psychiatric Association (APA) and the American Telemedicine Association (ATA) to create a consolidated update of the previous APA and ATA official documents and resources in telemental health, to provide a single guide on clinical best practices for providing mental health services through synchronous videoconference. Methods: A joint writing committee drawn from the APA Committee on Telepsychiatry and the ATA TMH Special Interest Group (TMH SIG). was convened to draft and finalize the guidelines. This document draws directly from the 2018 APA/ATA guide and the ATA s previous guidelines, selecting from key statements/guidelines, consolidating them across documents, and then updating them where indicated. Guideline approval was provided following internal review by the APA, the ATA, the Board of Directors of the ATA, and the Joint Reference Committee of the APA. Results: The guidelines contain requirements, recommendations, and actions that are identified by text containing the keywords "shall," "should," or "may." Conclusions: Compliance with these recommendations will not guarantee accurate diagnoses or successful outcomes. The purpose of this guide is to assist providers in providing effective and safe medical care founded on expert consensus, research evidence, available resources, and patient needs.
Collapse
Affiliation(s)
- Matt Mishkind
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Jay H Shore
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Raymond Barrett
- Telehealth Certification Institute, LLC, Blacksburg, Virginia, USA
| | - Robert Caudill
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | | | - Don Hilty
- Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California, USA
| | | | | | - Shabana Khan
- NYU Grossman School of Medicine, New York, New York, USA
| | | | | | | | - John Torous
- Harvard Medical School, Boston, Massachusetts, USA
| | - Peter Yellowlees
- Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California, USA
| |
Collapse
|
25
|
King DR, Nanda G, Stoddard J, Dempsey A, Hergert S, Shore JH, Torous J. An Introduction to Generative Artificial Intelligence in Mental Health Care: Considerations and Guidance. Curr Psychiatry Rep 2023; 25:839-846. [PMID: 38032442 DOI: 10.1007/s11920-023-01477-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/21/2023] [Indexed: 12/01/2023]
Abstract
PURPOSE OF REVIEW This paper provides an overview of generative artificial intelligence (AI) and the possible implications in the delivery of mental health care. RECENT FINDINGS Generative AI is a powerful technology that is changing rapidly. As psychiatrists, it is important for us to understand generative AI technology and how it may impact our patients and our practice of medicine. This paper aims to build this understanding by focusing on GPT-4 and its potential impact on mental health care delivery. We first introduce key concepts and terminology describing how the technology works and various novel uses of it. We then dive into key considerations for GPT-4 and other large language models (LLMs) and wrap up with suggested future directions and initial guidance to the field.
Collapse
Affiliation(s)
- Darlene R King
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, MC 8849, Dallas, TX 75390-8849, USA.
| | - Guransh Nanda
- The University of Texas, Southwestern Medical School, 5323 Harry Hines Blvd, Dallas, TX, 75390-8830, USA
| | - Joel Stoddard
- Children's Hospital Colorado Anschutz Medical Campus, Child and Adolescent Psychiatry, University of Colorado Anschutz Medical Campus, 13123 East 16th Ave, Aurora, CO, 80045, USA
- Department of Psychiatry and Family Medicine, School of Medicine, Centers for American Indian and Alaska Native Health, Colorado School of Public Health, Telemedicine Helen and Arthur E. Johnson Depression Center, University of Colorado Anschutz Medical Campus, Mail Stop F800, 13055 East 17th Avenue, Aurora, CO 80045, USA
| | - Allison Dempsey
- Department of Psychiatry and Family Medicine, School of Medicine, Centers for American Indian and Alaska Native Health, Colorado School of Public Health, Telemedicine Helen and Arthur E. Johnson Depression Center, University of Colorado Anschutz Medical Campus, Mail Stop F800, 13055 East 17th Avenue, Aurora, CO 80045, USA
| | - Sarah Hergert
- Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, MC 8849, Dallas, TX 75390-8849, USA
| | - Jay H Shore
- Department of Psychiatry and Family Medicine, School of Medicine, Centers for American Indian and Alaska Native Health, Colorado School of Public Health, Telemedicine Helen and Arthur E. Johnson Depression Center, University of Colorado Anschutz Medical Campus, Mail Stop F800, 13055 East 17th Avenue, Aurora, CO 80045, USA
| | - John Torous
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Massachusetts Mental Health Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
26
|
Perret S, Alon N, Carpenter-Song E, Myrick K, Thompson K, Li S, Sharma K, Torous J. Standardising the role of a digital navigator in behavioural health: a systematic review. Lancet Digit Health 2023; 5:e925-e932. [PMID: 38000876 DOI: 10.1016/s2589-7500(23)00152-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/26/2023] [Accepted: 07/28/2023] [Indexed: 11/26/2023]
Abstract
As the number and availability of digital mental health tools increases, patients and clinicians see benefit only when these tools are engaging and well integrated into care. Digital navigators-ie, members of health-care teams who are dedicated to supporting patient use of digital resources-offer one solution and continue to be piloted in behavioural health; however, little is known about the core features of this position. The aims of this systematic review were to assess how digital navigators are implemented in behavioural health, and to provide a standardised definition of this position. In January, 2023, we conducted a systematic literature search resulting in 48 articles included in this systematic review. Results showed high heterogeneity between four attributes of digital navigators: training specifications, educational background, frequency of communication, and method of communication with patients. Reported effect sizes for depression and anxiety were medium to large, but could not be synthesised due to study heterogeneity and small study sample size. This systematic review was registered with PROSPERO (CRD42023391696). Results suggest that digital navigator support can probably increase access to, engagement with, and clinical integration of digital health technology, with standards for training and defined responsibilities now emerging.
Collapse
Affiliation(s)
- Sarah Perret
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Noy Alon
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Keris Myrick
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Kennedy Thompson
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sunnie Li
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Karuna Sharma
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - John Torous
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
27
|
Loftness BC, Halvorson-Phelan J, OLeary A, Bradshaw C, Prytherch S, Berman I, Torous J, Copeland WL, Cheney N, McGinnis RS, McGinnis EW. The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. IEEE J Biomed Health Inform 2023; PP:1-10. [PMID: 38019617 DOI: 10.1109/jbhi.2023.3337649] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
Childhood mental health problems are common, impairing, and can become chronic if left untreated. Children are not reliable reporters of their emotional and behavioral health, and caregivers often unintentionally under- or over-report child symptoms, making assessment challenging. Objective physiological and behavioral measures of emotional and behavioral health are emerging. However, these methods typically require specialized equipment and expertise in data and sensor engineering to administer and analyze. To address this challenge, we have developed the ChAMP (Childhood Assessment and Management of digital Phenotypes) System, which includes a mobile application for collecting movement and audio data during a battery of mood induction tasks and an open-source platform for extracting digital biomarkers. As proof of principle, we present ChAMP System data from 101 children 4-8 years old, with and without diagnosed mental health disorders. Machine learning models trained on these data detect the presence of specific disorders with 70-73% balanced accuracy, with similar results to clinical thresholds on established parent-report measures (63-82% balanced accuracy). Features favored in model architectures are described using Shapley Additive Explanations (SHAP). Canonical Correlation Analysis reveals moderate to strong associations between predictors of each disorder and associated symptom severity (r = .51-.83). The open-source ChAMP System provides clinically-relevant digital biomarkers that may later complement parent-report measures of emotional and behavioral health for detecting kids with underlying mental health conditions and lowers the barrier to entry for researchers interested in exploring digital phenotyping of childhood mental health.
Collapse
|
28
|
Loftness BC, Halvorson-Phelan J, O'Leary A, Bradshaw C, Prytherch S, Berman I, Torous J, Copeland WL, Cheney N, McGinnis RS, McGinnis EW. The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. medRxiv 2023:2023.01.19.23284753. [PMID: 38076802 PMCID: PMC10705626 DOI: 10.1101/2023.01.19.23284753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Childhood mental health problems are common, impairing, and can become chronic if left untreated. Children are not reliable reporters of their emotional and behavioral health, and caregivers often unintentionally under- or over-report child symptoms, making assessment challenging. Objective physiological and behavioral measures of emotional and behavioral health are emerging. However, these methods typically require specialized equipment and expertise in data and sensor engineering to administer and analyze. To address this challenge, we have developed the ChAMP (Childhood Assessment and Management of digital Phenotypes) System, which includes a mobile application for collecting movement and audio data during a battery of mood induction tasks and an open-source platform for extracting digital biomarkers. As proof of principle, we present ChAMP System data from 101 children 4-8 years old, with and without diagnosed mental health disorders. Machine learning models trained on these data detect the presence of specific disorders with 70-73% balanced accuracy, with similar results to clinical thresholds on established parent-report measures (63-82% balanced accuracy). Features favored in model architectures are described using Shapley Additive Explanations (SHAP). Canonical Correlation Analysis reveals moderate to strong associations between predictors of each disorder and associated symptom severity (r = .51-.83). The open-source ChAMP System provides clinically-relevant digital biomarkers that may later complement parent-report measures of emotional and behavioral health for detecting kids with underlying mental health conditions and lowers the barrier to entry for researchers interested in exploring digital phenotyping of childhood mental health.
Collapse
Affiliation(s)
- Bryn C Loftness
- University of Vermont's Complex Systems Center and M-Sense Research Group
| | | | | | - Carter Bradshaw
- University of Vermont Medical Center Department of Psychiatry
| | | | - Isabel Berman
- University of Vermont Medical Center Department of Psychiatry
| | - John Torous
- Digital Psychiatry Division for Beth Israel Deaconess Medical Center at Harvard Medical School
| | | | - Nick Cheney
- University of Vermont Complex Systems Center
| | | | | |
Collapse
|
29
|
Shin HD, Zaheer J, Torous J, Strudwick G. Designing Implementation Strategies for a Digital Suicide Safety Planning Intervention in a Psychiatric Emergency Department: Protocol for a Multimethod Research Project. JMIR Res Protoc 2023; 12:e50643. [PMID: 37943582 PMCID: PMC10667981 DOI: 10.2196/50643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/27/2023] [Accepted: 10/17/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Suicide prevention is currently a national health priority in Canada. Emergency departments (EDs) are critical settings for suicide prevention, and in our local psychiatric ED at the Centre for Addiction and Mental Health, we plan to embed an app-based tool called the Hope app to support suicide safety planning intervention. The app is free and available on app stores, and usability tests have been completed. As a next step to embed this new tool into the routine clinical workflow, research is needed to assess determinants of and design strategies for implementation with the end goal of routinization. OBJECTIVE The purpose of this 2-phased research is to implement the app in the routine clinical workflow in our local psychiatric ED. The specific objectives are as follows: (1) understanding ED clinicians' perceptions and experience of implementing the app in routine practice and identifying barriers to and facilitators of implementation (phase 1) and (2) using findings and outputs from phase 1 and collaborating with service users, families, and ED clinicians to co-design implementation strategies for the app (phase 2). METHODS We will use an integrated knowledge translation approach throughout this project. In phase 1, we will conduct interviews with ED clinicians to identify implementation determinants using a behavior change framework. In phase 2, a co-design team comprising clinicians, ED service users, and families will design implementation strategies that align with the determinants identified in phase 1. RESULTS This protocol presents detailed information about the entire structure of the 2-phased research project. Ethics approval for conducting the qualitative descriptive study (phase 1) has been obtained, and the recruitment and data collection processes will be completed no later than December 2023. Ethics approval for phase 2 is underway. CONCLUSIONS Involving multiple knowledge user groups early in the research and decision-making process is crucial for successful implementation. Although co-designing is commonly practiced during innovation development, there is often a misconception that the responsibility for implementing what has been designed falls on others. This research aims to fill this methodological gap in the health informatics literature. By the end of this project, we will have developed theory-informed implementation strategies to support Centre for Addiction and Mental Health ED clinicians in adopting the Hope app to complete safety planning intervention. These strategies, guided by a behavior change framework, will target clinicians' behavior change and seamlessly integrate the app into the routine clinical workflow. In addition, this research project will provide recommendations on how to involve multiple knowledge user groups and offer insights into how the methodology used can be adapted to other areas within the health informatics literature. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/50643.
Collapse
Affiliation(s)
- Hwayeon Danielle Shin
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Juveria Zaheer
- Health Outcomes and Performance Evaluation (HOPE) Research Unit, Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Ontario, Canada, Toronto, ON, Canada
- Gerald Sheff and Shanitha Kachan Emergency Department, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Gillian Strudwick
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
| |
Collapse
|
30
|
Sawyer C, McKeon G, Hassan L, Onyweaka H, Martinez Agulleiro L, Guinart D, Torous J, Firth J. Digital health behaviour change interventions in severe mental illness: a systematic review. Psychol Med 2023; 53:6965-7005. [PMID: 37759417 PMCID: PMC10719689 DOI: 10.1017/s0033291723002064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/13/2023] [Accepted: 07/03/2023] [Indexed: 09/29/2023]
Abstract
The use of digital technologies as a method of delivering health behaviour change (HBC) interventions is rapidly increasing across the general population. However, the role in severe mental illness (SMI) remains overlooked. In this study, we aimed to systematically identify and evaluate all of the existing evidence around digital HBC interventions in people with an SMI. A systematic search of online electronic databases was conducted. Data on adherence, feasibility, and outcomes of studies on digital HBC interventions in SMI were extracted. Our combined search identified 2196 titles and abstracts, of which 1934 remained after removing duplicates. Full-text screening was performed for 107 articles, leaving 36 studies to be included. From these, 14 focused on physical activity and/or cardio-metabolic health, 19 focused on smoking cessation, and three concerned other health behaviours. The outcomes measured varied considerably across studies. Although over 90% of studies measuring behavioural changes reported positive changes in behaviour/attitudes, there were too few studies collecting data on mental health to determine effects on psychiatric outcomes. Digital HBC interventions are acceptable to people with an SMI, and could present a promising option for addressing behavioural health in these populations. Feedback indicated that additional human support may be useful for promoting adherence/engagement, and the content of such interventions may benefit from more tailoring to specific needs. While the literature does not yet allow for conclusions regarding efficacy for mental health, the available evidence to date does support their potential to change behaviour across various domains.
Collapse
Affiliation(s)
- Chelsea Sawyer
- Division of Psychology and Mental Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, UK
| | - Grace McKeon
- School of Population Health, University of New South Wales, Randwick, NSW 2052, Australia
- Discipline of Psychiatry and Mental Health, University of New South Wales, Randwick, NSW 2052, Australia
| | - Lamiece Hassan
- Division of Psychology and Mental Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, UK
| | - Henry Onyweaka
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General/Mclean Hospital, Boston, MA, USA
| | - Luis Martinez Agulleiro
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
| | - Daniel Guinart
- Hospital del Mar Research Institute, Institut de Salut Mental, Hospital del Mar, Barcelona, Spain
- Centro de Investigacion Biomedica en Red de Salud Mental (CIBERSAM), Spain
- Department of Psychiatry, the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA
| | - John Torous
- Department of Psychiatry, Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Zucker School of Medicine at Northwell/Hofstra, New York, NY, USA
- Department of Psychiatry, Beth Israel Deaconess Hospital, Boston, MA, USA
| | - Joseph Firth
- Division of Psychology and Mental Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9PL, UK
| |
Collapse
|
31
|
Abstract
Against the global need for increased access to mental services, health organisations are looking to technological advances to improve the delivery of care and lower costs. Since November 2022, with the public launch of OpenAI's ChatGPT, the field of generative artificial intelligence (AI) has received expanding attention. Although generative AI itself is not new, technical advances and the increased accessibility of large language models (LLMs) (eg, OpenAI's GPT-4 and Google's Bard) suggest use of these tools could be clinically significant. LLMs are an application of generative AI technology that can summarise and generate content based on training on vast data sets. Unlike search engines, which provide internet links in response to typed entries, chatbots that rely on generative language models can simulate dialogue that resembles human conversations. We examine the potential promise and the risks of using LLMs in mental healthcare today, focusing on their scope to impact mental healthcare, including global equity in the delivery of care. Although we caution that LLMs should not be used to disintermediate mental health clinicians, we signal how-if carefully implemented-in the long term these tools could reap benefits for patients and health professionals.
Collapse
Affiliation(s)
- Charlotte Blease
- Participatory eHealth and Health Data Research Group, Department of Women's and Children's Health, Uppsala Universitet, Uppsala, Sweden
- Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - John Torous
- Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
32
|
Lane E, D'Arcey J, Kidd S, Onyeaka H, Alon N, Joshi D, Torous J. Digital Phenotyping in Adults with Schizophrenia: A Narrative Review. Curr Psychiatry Rep 2023; 25:699-706. [PMID: 37861979 DOI: 10.1007/s11920-023-01467-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/04/2023] [Indexed: 10/21/2023]
Abstract
PURPOSE OF REVIEW As care for older adult patients with schizophrenia lacks innovation, technology can help advance the field. Specifically, digital phenotyping, the real-time monitoring of patients' behaviors through smartphone sensors and symptoms through surveys, holds promise as the method can capture the dynamicity and environmental correlates of disease. RECENT FINDINGS Few studies have used digital phenotyping to elucidate adult patients' experiences with schizophrenia. In this narrative review, we summarized the literature using digital phenotyping on adults with schizophrenia. No study focused solely on older adult patients. Studies including all adult patients were heterogeneous in measures used, duration, and outcomes. Despite limited research, digital phenotyping shows potential for monitoring outcomes such as negative, positive, and functional symptoms, as well as predicting relapse. Future research should work to target the symptomology persistent in chronic schizophrenia and ensure all patients have the digital literacy required to benefit from digital interventions and homogenize datasets to allow for more robust conclusions.
Collapse
Affiliation(s)
- Erlend Lane
- Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA
| | - Jessica D'Arcey
- Slaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Sean Kidd
- Slaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Henry Onyeaka
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Massachusetts General/McLean Hospital, Boston, MA, USA
| | - Noy Alon
- Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA
| | - Devayani Joshi
- Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA
| | - John Torous
- Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA.
| |
Collapse
|
33
|
Kannarkat JT, Kannarkat JT, Torous J. Rebalancing Controlled Substance Regulations in Telemedicine. JAMA Health Forum 2023; 4:e233251. [PMID: 37862032 DOI: 10.1001/jamahealthforum.2023.3251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023] Open
Abstract
This Viewpoint elucidates major components of the proposed rules about controlled substance prescribing in telehealth, highlights evolving considerations with the US Drug Enforcement Agency’s approach, and offers potential improvements before finalization of the rules.
Collapse
Affiliation(s)
- Jacob T Kannarkat
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | | | - John Torous
- Department of Psychiatry at Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
34
|
Green JB, Rodriguez J, Keshavan M, Lizano P, Torous J. Implementing Technologies to Enhance Coordinated Specialty Care Framework: Implementation Outcomes From a Development and Usability Study. JMIR Form Res 2023; 7:e46491. [PMID: 37788066 PMCID: PMC10582803 DOI: 10.2196/46491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 08/08/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Coordinated specialty care (CSC) has demonstrated efficacy in improving outcomes in individuals at clinical high risk for psychosis and individuals with first-episode psychosis. Given the limitations of scalability and staffing needs, the augmentation of services using digital mental health interventions (DMHIs) may be explored to help support CSC service delivery. OBJECTIVE In this study, we aimed to understand the methods to implement and support technology in routine CSC and offered insights from a quality improvement study assessing the implementation outcomes of DMHIs in CSC. METHODS Patients and clinicians including psychiatrists, therapists, and supported education and employment specialists from a clinical-high-risk-for-psychosis clinic (Center for Early Detection Assessment and Response to Risk [CEDAR]) and a first-episode-psychosis clinic (Advancing Services for Psychosis Integration and Recovery [ASPIRE]) participated in a quality improvement project exploring the feasibility of DMHIs following the Access, Alignment, Connection, Care, and Scalability framework to implement mindLAMP, a flexible and evidenced-based DMHI. Digital navigators were used at each site to assist clinicians and patients in implementing mindLAMP. To explore the differences in implementation outcomes associated with the app format, a menu-style format was delivered at CEDAR, and a modular approach was used at ASPIRE. Qualitative baseline and follow-up data were collected to assess the specific implementation outcomes. RESULTS In total, 5 patients (ASPIRE: n=3, 60%; CEDAR: n=2, 40%) were included: 3 (60%) White individuals, 2 (40%) male and 2 (40%) female patients, and 1 (20%) transgender man, with a mean age of 19.6 (SD 2.05) years. Implementation outcome data revealed that patients and clinicians demonstrated high accessibility, acceptability, interest, and belief in the sustainability of DMHIs. Clinicians and patients presented a wide range of interest in unique use cases of DMHI in CSC and expressed variable feasibility and appropriateness associated with nuanced barriers and needs. In addition, the results suggest that adoption, penetration, feasibility, and appropriateness outcomes were moderate and might continue to be explored and targeted. CONCLUSIONS Implementation outcomes from this project suggest the need for a patient- and clinician-centered approach that is guided by digital navigators and provides versatility, autonomy, and structure. Leveraging these insights has the potential to build on growing research regarding the need for versatility, autonomy, digital navigator support, and structured applications. We anticipate that by continuing to research and improve implementation barriers impeding the adoption and penetration of DMHIs in CSC, accessibility and uptake of DMHIs will improve, therefore connecting patients to the demonstrated benefits of technology-augmented care.
Collapse
Affiliation(s)
- James B Green
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
- Brookline Center for Community Mental Health, Brookline, MA, United States
| | - Joey Rodriguez
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Matcheri Keshavan
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Paulo Lizano
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - John Torous
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
35
|
Camacho E, Chang SM, Currey D, Torous J. The impact of guided versus supportive coaching on mental health app engagement and clinical outcomes. Health Informatics J 2023; 29:14604582231215872. [PMID: 38112116 DOI: 10.1177/14604582231215872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Although mobile mental health apps have the unique potential to increase access to care, evidence reveals engagement is low unless coupled with coaching. However, most coaching protocols are limited in their scalability. This study assesses how human support and guidance from a Digital Navigator (DN), a scalable coach, can impact mental health app engagement and effectiveness on anxiety and depressive symptoms. This study aims to detach components of coaching, specifically personalized recommendations versus general support, to inform scalability of coaching models for mental health apps. 156 participants were split into the DN Guide versus DN Support groups for the 6-week study. Both groups utilized the mindLAMP app for the duration of the study and had equal time with the DN, but the Guide group received personalized app recommendations. The Guide group completed significantly more activities than the Support group. 34% (49/139) of all participants saw a 25% decrease in PHQ-9 scores and 38% (53/141) saw a 25% decrease in GAD-7 scores. These findings show mental health apps, especially when supported by DNs, can reduce depression and anxiety symptoms when coupled with coaching, suggesting a feasible path for large-scale deployment.
Collapse
Affiliation(s)
- Erica Camacho
- Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sarah M Chang
- Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Danielle Currey
- Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - John Torous
- Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA
| |
Collapse
|
36
|
Goldberg SB, Sun S, Carlbring P, Torous J. Selecting and describing control conditions in mobile health randomized controlled trials: a proposed typology. NPJ Digit Med 2023; 6:181. [PMID: 37775522 PMCID: PMC10541862 DOI: 10.1038/s41746-023-00923-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 09/20/2023] [Indexed: 10/01/2023] Open
Abstract
Hundreds of randomized controlled trials (RCTs) have tested the efficacy of mobile health (mHealth) tools for a wide range of mental and behavioral health outcomes. These RCTs have used a variety of control condition types which dramatically influence the scientific inferences that can be drawn from a given study. Unfortunately, nomenclature across mHealth RCTs is inconsistent and meta-analyses commonly combine control conditions that differ in potentially important ways. We propose a typology of control condition types in mHealth RCTs. We define 11 control condition types, discuss key dimensions on which they differ, provide a decision tree for selecting and identifying types, and describe the scientific inferences each comparison allows. We propose a five-tier comparison strength gradation along with four simplified categorization schemes. Lastly, we discuss unresolved definitional, ethical, and meta-analytic issues related to the categorization of control conditions in mHealth RCTs.
Collapse
Affiliation(s)
- Simon B Goldberg
- Department of Counseling Psychology, University of Wisconsin-Madison, Madison, WI, USA.
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA.
| | - Shufang Sun
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, USA
- International Health Institute, Brown University School of Public Health, Providence, RI, USA
- Mindfulness Center, Brown University School of Public Health, Providence, RI, USA
| | - Per Carlbring
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Harvard Business School, Boston, MA, USA
| |
Collapse
|
37
|
Alon N, Perret S, Torous J. Working towards a ready to implement digital literacy program. Mhealth 2023; 9:32. [PMID: 38023777 PMCID: PMC10643183 DOI: 10.21037/mhealth-23-13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 08/17/2023] [Indexed: 12/01/2023] Open
Abstract
Background As healthcare continues to expand online and digital care offerings multiply, the importance of digital inclusion and equity is now better recognized. Yet despite impressive regional grassroots efforts, today there remain few readily deployable programs designed to support patient digital literacy. Methods Digital Outreach for Obtaining Resources and Skills (DOORs) is one such digital literacy program that has evolved over the last 5 years to meet the rising demand. Through community partnerships, the DOORs curriculum and delivery has been updated to make the program more accessible and applicable as Coronavirus Disease 2019 (COVID-19) changes healthcare. Participants' experience in the most updated iteration of DOORS was assessed through surveys and semi-structured interviews. Results Improvements to DOORs include an updated DOORs curriculum, updated facilitator manual, an online platform with a learning management system, standardized training, patient-facing educational handouts, consolidation of all DOORs materials into a single package that is ready to be shared with other groups, implementation of a single-session intervention model, and Spanish translation. Participants reported improved confidence on 72% of the digital skills assessed. Thematic analysis resulted in three themes: awareness of divide, patient-centered design, and expanded skills and confidence. Conclusions Combined, these changes and participant outcomes better position DOORS to meet the rising need for digital literacy and offers a scalable model for teams across the world.
Collapse
Affiliation(s)
- Noy Alon
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Sarah Perret
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
38
|
Abstract
This Viewpoint explores the challenges and opportunities for remote therapeutic monitoring as an innovative mental health treatment model.
Collapse
Affiliation(s)
- Obinna Ekekezie
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - George Luke Hartstein
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - John Torous
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
39
|
Gray LE, Buchanan RW, Keshavan MS, Torous J. Potential Role of Smartphone Technology in Advancing Work on Neurological Soft Signs with a Focus on Schizophrenia. Harv Rev Psychiatry 2023; 31:226-233. [PMID: 37699066 DOI: 10.1097/hrp.0000000000000377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
Abstract
LEARNING OBJECTIVE AFTER PARTICIPATING IN THIS CME ACTIVITY, THE PSYCHIATRIST SHOULD BE BETTER ABLE TO • Outline and Identify potential benefits of using neurological soft signs (NSS) as biomarkers of schizophrenia. ABSTRACT Since the late 1960s, NSS have been a focus of study across psychiatric illnesses, including depression, bipolar disorder, and schizophrenia in particular. Utilizing these subtle neurological impairments as biomarkers of illness has numerous benefits; NSS offer a direct connection between clinical presentation and neurological functioning, and assessments are cost-effective. However, incongruent measurement scales, confounding variables, and rating system subjectivity have hindered the advancement and scalability of NSS research and clinical implementation. This article provides a brief overview of the literature on NSS as related to schizophrenia, and proposes utilizing smartphone sensing technology to create standardized NSS assessments with objective scoring. Incorporating digital phenotyping into NSS assessment offers the potential to make measurement more scalable, accessible, and directly comparable across locations, cultures, and demographics. We conducted a narrative search in PubMed and APA PsycInfo using the following keywords: neurological soft signs, schizophrenia spectrum disorders, and psychotic illnesses. No date limitations were used. There is no other direct work on NSS and new smartphone methods like digital phenotyping; though, there is related work in neurology. Harnessing advances in smartphone technology could provide greater insight into and further our understanding of specific aspects of the NSS field. For instance, it could help us distinguish trait vs. state markers and better understand how distinct groups of signs may reflect different aspects of psychiatric illness and neurological impairment. In addition, such technology can help advance research on the capabilities of NSS as an effective diagnostic tool.
Collapse
Affiliation(s)
- Lucy E Gray
- From Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (Ms. Gray, and Drs. Keshavan and Torous); Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD (Dr. Buchanan); Massachusetts Mental Health Center, Boston, MA (Drs. Keshavan and Torous)
| | | | | | | |
Collapse
|
40
|
Kelkar RS, Currey D, Nagendra S, Mehta UM, Sreeraj VS, Torous J, Thirthalli J. Utility of Smartphone-Based Digital Phenotyping Biomarkers in Assessing Treatment Response to Transcranial Magnetic Stimulation in Depression: Proof-of-Concept Study. JMIR Form Res 2023; 7:e40197. [PMID: 37656496 PMCID: PMC10504622 DOI: 10.2196/40197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/01/2023] [Accepted: 07/20/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Identifying biomarkers of response to transcranial magnetic stimulation (TMS) in treatment-resistant depression is a priority for personalizing care. Clinical and neurobiological determinants of treatment response to TMS, while promising, have limited scalability. Therefore, evaluating novel, technologically driven, and potentially scalable biomarkers, such as digital phenotyping, is necessary. OBJECTIVE This study aimed to examine the potential of smartphone-based digital phenotyping and its feasibility as a predictive biomarker of treatment response to TMS in depression. METHODS We assessed the feasibility of digital phenotyping by examining the adherence and retention rates. We used smartphone data from passive sensors as well as active symptom surveys to determine treatment response in a naturalistic course of TMS treatment for treatment-resistant depression. We applied a scikit-learn logistic regression model (l1 ratio=0.5; 2-fold cross-validation) using both active and passive data. We analyzed related variance metrics throughout the entire treatment duration and on a weekly basis to predict responders and nonresponders to TMS, defined as ≥50% reduction in clinician-rated symptom severity from baseline. RESULTS The adherence rate was 89.47%, and the retention rate was 73%. The area under the curve for correct classification of TMS response ranged from 0.59 (passive data alone) to 0.911 (both passive and active data) for data collected throughout the treatment course. Importantly, a model using the average of all features (passive and active) for the first week had an area under the curve of 0.7375 in predicting responder status at the end of the treatment. CONCLUSIONS The results of our study suggest that it is feasible to use digital phenotyping data to assess response to TMS in depression. Early changes in digital phenotyping biomarkers, such as predicting response from the first week of data, as shown in our results, may also help guide the treatment course.
Collapse
Affiliation(s)
| | - Danielle Currey
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| | | | | | | | - John Torous
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| | | |
Collapse
|
41
|
Bond RR, Mulvenna MD, Potts C, O'Neill S, Ennis E, Torous J. Digital transformation of mental health services. Npj Ment Health Res 2023; 2:13. [PMID: 38609479 PMCID: PMC10955947 DOI: 10.1038/s44184-023-00033-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 07/26/2023] [Indexed: 04/14/2024]
Abstract
This paper makes a case for digital mental health and provides insights into how digital technologies can enhance (but not replace) existing mental health services. We describe digital mental health by presenting a suite of digital technologies (from digital interventions to the application of artificial intelligence). We discuss the benefits of digital mental health, for example, a digital intervention can be an accessible stepping-stone to receiving support. The paper does, however, present less-discussed benefits with new concepts such as 'poly-digital', where many different apps/features (e.g. a sleep app, mood logging app and a mindfulness app, etc.) can each address different factors of wellbeing, perhaps resulting in an aggregation of marginal gains. Another benefit is that digital mental health offers the ability to collect high-resolution real-world client data and provide client monitoring outside of therapy sessions. These data can be collected using digital phenotyping and ecological momentary assessment techniques (i.e. repeated mood or scale measures via an app). This allows digital mental health tools and real-world data to inform therapists and enrich face-to-face sessions. This can be referred to as blended care/adjunctive therapy where service users can engage in 'channel switching' between digital and non-digital (face-to-face) interventions providing a more integrated service. This digital integration can be referred to as a kind of 'digital glue' that helps join up the in-person sessions with the real world. The paper presents the challenges, for example, the majority of mental health apps are maybe of inadequate quality and there is a lack of user retention. There are also ethical challenges, for example, with the perceived 'over-promotion' of screen-time and the perceived reduction in care when replacing humans with 'computers', and the trap of 'technological solutionism' whereby technology can be naively presumed to solve all problems. Finally, we argue for the need to take an evidence-based, systems thinking and co-production approach in the form of stakeholder-centred design when developing digital mental health services based on technologies. The main contribution of this paper is the integration of ideas from many different disciplines as well as the framework for blended care using 'channel switching' to showcase how digital data and technology can enrich physical services. Another contribution is the emergence of 'poly-digital' and a discussion on the challenges of digital mental health, specifically 'digital ethics'.
Collapse
Affiliation(s)
| | | | | | | | - Edel Ennis
- School of Psychology, Ulster University, Coleraine, UK
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
42
|
Sharp G, Torous J, West ML. Ethical Challenges in AI Approaches to Eating Disorders. J Med Internet Res 2023; 25:e50696. [PMID: 37578836 PMCID: PMC10463082 DOI: 10.2196/50696] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/06/2023] [Accepted: 08/07/2023] [Indexed: 08/15/2023] Open
Abstract
The use of artificial intelligence (AI) to assist with the prevention, identification, and management of eating disorders and body image concerns is exciting, but it is not without risk. Technology is advancing rapidly, and ensuring that responsible standards are in place to mitigate risk and protect users is vital to the success and safety of technologies and users.
Collapse
Affiliation(s)
- Gemma Sharp
- Department of Neuroscience, Monash University, Melbourne, Australia
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Madeline L West
- Department of Neuroscience, Monash University, Melbourne, Australia
| |
Collapse
|
43
|
Emerson MR, Dinkel D, Watanabe-Galloway S, Torous J, Johnson DJ. Adaptation of digital navigation training for integrated behavioral health providers: Interview and survey study. Transl Behav Med 2023; 13:612-623. [PMID: 37086443 DOI: 10.1093/tbm/ibad016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2023] Open
Abstract
Despite effective treatment options, people who experience mental health conditions often do not receive needed care. E-mental health, for instance the use of mobile apps, is emerging as a way to increase access to and extend care. However, little formal training is available to increase the digital literacy level among behavioral healthcare providers (BHPs), seeking to employ such technology. The purpose of this study was to explore the acceptability and usability of an adapted in-person Digital Navigation Training (DNT) curriculum into e-Learning modules focused on the integrated environment for BHPs. BHP confidence to serve as digital navigators was also explored. E-Learning modules were adapted from an existing in-person DNT. A purposeful sampling strategy was used to recruit BHPs (n = 8) to complete the modules. Acceptability, usability, and confidence were assessed via survey and semi-structured interviews. Descriptive statistics were calculated for survey data and qualitative data were analyzed using a directed content analysis approach. BHPs who completed the training (n = 8) felt the modules were usable, enjoyed the structure, and felt the amount of time to complete the modules was acceptable. All participants thought the structure of the training worked well and enjoyed learning new information. While participants' confidence in their digital navigation skills increased, they desired more information and/or experience with screening apps prior to increasing their use of apps within their care. E-Learning modules were an acceptable method of educating BHPs with digital navigation skills. Future research is needed to explore incentives needed for training along with if participating in these modules can increase use of quality mobile apps to augment care within BHP treatment plans.
Collapse
Affiliation(s)
- Margaret R Emerson
- College of Nursing, University of Nebraska Medical Center, Omaha, NE 68154, USA
| | - Danae Dinkel
- College of Education, Health, and Human Sciences, University of Nebraska at Omaha, Omaha, NE 68182, USA
| | | | - John Torous
- Department of Psychiatry at Beth Israel Deaconess Medical Center, Boston, 02115 MA, USA
| | - David J Johnson
- Department of Psychiatry & Behavioral Science, Mercer University School of Medicine, Atlanta, GA 30341, USA
| |
Collapse
|
44
|
Uhlhaas PJ, Davey CG, Mehta UM, Shah J, Torous J, Allen NB, Avenevoli S, Bella-Awusah T, Chanen A, Chen EYH, Correll CU, Do KQ, Fisher HL, Frangou S, Hickie IB, Keshavan MS, Konrad K, Lee FS, Liu CH, Luna B, McGorry PD, Meyer-Lindenberg A, Nordentoft M, Öngür D, Patton GC, Paus T, Reininghaus U, Sawa A, Schoenbaum M, Schumann G, Srihari VH, Susser E, Verma SK, Woo TW, Yang LH, Yung AR, Wood SJ. Towards a youth mental health paradigm: a perspective and roadmap. Mol Psychiatry 2023; 28:3171-3181. [PMID: 37580524 PMCID: PMC10618105 DOI: 10.1038/s41380-023-02202-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 07/04/2023] [Accepted: 07/21/2023] [Indexed: 08/16/2023]
Abstract
Most mental disorders have a typical onset between 12 and 25 years of age, highlighting the importance of this period for the pathogenesis, diagnosis, and treatment of mental ill-health. This perspective addresses interactions between risk and protective factors and brain development as key pillars accounting for the emergence of psychopathology in youth. Moreover, we propose that novel approaches towards early diagnosis and interventions are required that reflect the evolution of emerging psychopathology, the importance of novel service models, and knowledge exchange between science and practitioners. Taken together, we propose a transformative early intervention paradigm for research and clinical care that could significantly enhance mental health in young people and initiate a shift towards the prevention of severe mental disorders.
Collapse
Affiliation(s)
- Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
- Department of Child and Adolescent Psychiatry, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
| | - Christopher G Davey
- Department of Psychiatry, The University of Melbourne, Carlton, VIC, Australia
| | - Urvakhsh Meherwan Mehta
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Jai Shah
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - John Torous
- Division of Digital Psychiatry and Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Shelli Avenevoli
- Office of the Director, National Institute of Mental Health, Bethesda, MD, USA
| | - Tolulope Bella-Awusah
- Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Andrew Chanen
- Orygen: National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Eric Y H Chen
- Department of Psychiatry, University of Hong Kong, Hong Kong, China
| | - Christoph U Correll
- Department of Child and Adolescent Psychiatry, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Departments of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hostra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
| | - Kim Q Do
- Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Helen L Fisher
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - Sophia Frangou
- Department of Psychiatry, The University of British Columbia, Vancouver, BC, Canada
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, RWTH, Aachen, Germany
- JARA-Brain Institute II, Molecular Neuroscience and Neuroimaging, Research Center Jülich, Jülich, Germany
| | - Francis S Lee
- Department of Psychiatry, Weill Cornell Cornell Medicall College, New York, NY, USA
| | - Cindy H Liu
- Departments of Pediatrics and Psychiatry, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Patrick D McGorry
- Orygen: National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Merete Nordentoft
- CORE-Copenhagen Research Centre for Mental Health, Mental Health Center Copenhagen, University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Hellerup, Denmark
| | - Dost Öngür
- McLean Hospital/Harvard Medical School, Belmont, MA, USA
| | - George C Patton
- Centre for Adolescent Health, Murdoch Children's Research Institute, University of Melbourne, Parkville, VIC, Australia
| | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte Justine, University of Montreal, Montreal, QC, Canada
- Department of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Mannheim, Germany
- Centre for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Akira Sawa
- The John Hopkins Schizophrenia Center, Johns Hopkins University, Baltimore, MD, USA
| | - Michael Schoenbaum
- Division of Service and Intervention Research, National Institute of Mental Health, Bethesda, MD, USA
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine, ISTBI, Fudan University, Shanghai, China
- Department of Psychiatry and Neuroscience, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Vinod H Srihari
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Program for Specialized Treatment Early in Psychosis (STEP), New Haven, VIC, USA
| | - Ezra Susser
- Departments of Epidemiology and Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Swapna K Verma
- Department of Psychosis, Institute of Mental Health, Buangkok, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - T Wilson Woo
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Laboratory for Cellular Neuropathology, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Lawrence H Yang
- Department of Social and Behavioral Sciences, New York University, New York, NY, USA
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Alison R Yung
- School of Medicine, Faculty of Health, Deakin University, Melbourne, VIC, Australia
- Department of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Stephen J Wood
- Orygen: National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| |
Collapse
|
45
|
Bold KW, Garrison KA, DeLucia A, Horvath M, Nguyen M, Camacho E, Torous J. Smartphone Apps for Smoking Cessation: Systematic Framework for App Review and Analysis. J Med Internet Res 2023; 25:e45183. [PMID: 37440305 PMCID: PMC10375280 DOI: 10.2196/45183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 06/06/2023] [Accepted: 06/12/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Cigarette smoking is a leading cause of preventable death, and identifying novel treatment approaches to promote smoking cessation is critical for improving public health. With the rise of digital health and mobile apps, these tools offer potential opportunities to address smoking cessation, yet the functionality of these apps and whether they offer scientifically based support for smoking cessation are unknown. OBJECTIVE The goal of this research was to use the American Psychiatric Association app evaluation model to evaluate the top-returned apps from Android and Apple app store platforms related to smoking cessation and investigate the common app features available for end users. METHODS We conducted a search of both Android and iOS app stores in July 2021 for apps related to the keywords "smoking," "tobacco," "smoke," and "cigarette" to evaluate apps for smoking cessation. Apps were screened for relevance, and trained raters identified and analyzed features, including accessibility (ie, cost), privacy, clinical foundation, and features of the apps, using a systematic framework of 105 objective questions from the American Psychiatric Association app evaluation model. All app rating data were deposited in mindapps, a publicly accessible database that is continuously updated every 6 months given the dynamic nature of apps available in the marketplace. We characterized apps available in July 2021 and November 2022. RESULTS We initially identified 389 apps, excluded 161 due to irrelevance and nonfunctioning, and rated 228, including 152 available for Android platforms and 120 available for iOS platforms. Some of the top-returned apps (71/228, 31%) in 2021 were no longer functioning in 2022. Our analysis of rated apps revealed limitations in accessibility and features. While most apps (179/228, 78%) were free to download, over half had costs associated with in-app purchases or full use. Less than 65% (149/228) had a privacy policy addressing the data collected in the app. In terms of intervention features, more than 56% (128/228) of apps allowed the user to set and check in on goals, and more than 46% (106/228) of them provided psychoeducation, although few apps provided evidence-based support for smoking cessation, such as peer support or skill training, including mindfulness and deep breathing, and even fewer provided evidence-based interventions, such as acceptance and commitment therapy or cognitive behavioral therapy. Only 12 apps in 2021 and 11 in 2022 had published studies supporting the feasibility or efficacy for smoking cessation. CONCLUSIONS Numerous smoking cessation apps were identified, but analysis revealed limitations, including high rates of irrelevant and nonfunctioning apps, high rates of turnover, and few apps providing evidence-based support for smoking cessation. Thus, it may be challenging for consumers to identify relevant, evidence-based apps to support smoking cessation in the app store, and a comprehensive evaluation system of mental health apps is critically important.
Collapse
Affiliation(s)
- Krysten W Bold
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Kathleen A Garrison
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Angela DeLucia
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Mark Horvath
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Milton Nguyen
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Erica Camacho
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States
| |
Collapse
|
46
|
Torous J, Benson NM, Myrick K, Eysenbach G. Focusing on Digital Research Priorities for Advancing the Access and Quality of Mental Health. JMIR Ment Health 2023; 10:e47898. [PMID: 37093624 PMCID: PMC10167575 DOI: 10.2196/47898] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 04/17/2023] [Indexed: 04/25/2023] Open
Abstract
Digital mental health solutions are now well recognized as critical to solving the global mental health crisis. As research accelerates, it is now clear that solutions ranging from computer-based therapy programs to virtual reality headsets and smartphone apps to large language model chatbots are of interest, feasible, and hold exciting potential to improve mental health. This research should now consider the next generation of scientific and clinical questions regarding if these new approaches are equitable, valid, effective, implementable, efficacious, and even cost-effective. This paper outlines several of the new frontiers for the next generation of research and introduces JMIR Publications' partnership with the Society of Digital Psychiatry to further advance these aims.
Collapse
Affiliation(s)
- John Torous
- Beth Israel Deaoness Medical Center, Boston, MA, United States
| | | | - Keris Myrick
- Beth Israel Deaoness Medical Center, Boston, MA, United States
- Inseperable, Washington, DC, United States
| | | |
Collapse
|
47
|
Abstract
Federal and institutional policy changes have accelerated the use of telemental health to care for college students distant from their mental health providers during the early part of the COVID-19 pandemic. Temporary measures have made telemental health more readily available, including relaxing of regulations related to interstate licensure, controlled substance prescribing, patient privacy, and reimbursement. Though early efforts are underway to sustain these changes during and in the wake of the pandemic, there are important areas in which federal and institutional policy are still lacking. Additional steps are needed to successfully implement and sustain telemental health for college students include ensuring student access to technology and Internet; proactive outreach to optimize the student's home environment, addressing concerns about safety and confidentiality; developing the means to track rapidly shifting telemental health policy changes; and developing centralized resources that enable remote providers to become familiar with involuntary commitment laws and emergency protocols.
Collapse
Affiliation(s)
- Yash S Huilgol
- UC Berkeley-UCSF Joint Medical Program, School of Public Health, University of California, Berkeley, California, USA
- School of Medicine, University of California, San Francisco, California, USA
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Jessica A Gold
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Matthew L Goldman
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, California, USA
| |
Collapse
|
48
|
Alon N, Perret S, Segal R, Torous J. Clinical Considerations for Digital Resources in Care for Patients With Suicidal Ideation. Focus (Am Psychiatr Publ) 2023; 21:160-165. [PMID: 37201138 PMCID: PMC10172563 DOI: 10.1176/appi.focus.20220073] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Smartphone apps offer accessible new tools that may help prevent suicide and that offer support for individuals with active suicidal ideation. Numerous smartphone apps for mental health conditions exist; however, their functionality is limited, and evidence is nascent. A new generation of apps using smartphone sensors and integrating real-time data on evolving risk offers the potential of more personalized support, but these apps present ethical risks and currently remain more in the research domain than in the clinical domain. Nevertheless, clinicians can use apps to benefit patients. This article outlines practical strategies to select safe and effective apps for the creation of a digital toolkit that can augment suicide prevention and safety plans. By creating a unique digital toolkit for each patient, clinicians can help ensure that the apps selected will be most relevant, engaging, and effective.
Collapse
Affiliation(s)
- Noy Alon
- Division of Digital Psychiatry (Alon, Perret, Torous) and mental health services consultant (Segal), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston
| | - Sarah Perret
- Division of Digital Psychiatry (Alon, Perret, Torous) and mental health services consultant (Segal), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston
| | - Rebecca Segal
- Division of Digital Psychiatry (Alon, Perret, Torous) and mental health services consultant (Segal), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston
| | - John Torous
- Division of Digital Psychiatry (Alon, Perret, Torous) and mental health services consultant (Segal), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston
| |
Collapse
|
49
|
Melcher J, Lavoie J, Hays R, D'Mello R, Rauseo-Ricupero N, Camacho E, Rodriguez-Villa E, Wisniewski H, Lagan S, Vaidyam A, Torous J. Digital phenotyping of student mental health during COVID-19: an observational study of 100 college students. J Am Coll Health 2023; 71:736-748. [PMID: 33769927 DOI: 10.1080/07448481.2021.1905650] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each participant attended a virtual visit to complete a series of gold-standard mental health assessments, and then used a mobile app for 28 days to complete mood assessments and allow for passive collection of GPS, accelerometer, phone call, and screen time data. Students completed another virtual visit at the end of the study to collect a second round of mental health assessments. Results: In-app daily mood assessments were strongly correlated with their corresponding gold standard clinical assessment. Sleep variance among students was correlated to depression scores (ρ = .28) and stress scores (ρ = .27). Conclusions: Digital Phenotyping among college students is feasible on both an individual and a sample level. Studies with larger sample sizes are necessary to understand population trends, but there are practical applications of the data today.
Collapse
Affiliation(s)
- Jennifer Melcher
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Joel Lavoie
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Ryan Hays
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Ryan D'Mello
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Natali Rauseo-Ricupero
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Erica Camacho
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Elena Rodriguez-Villa
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Hannah Wisniewski
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Sarah Lagan
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Aditya Vaidyam
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - John Torous
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
50
|
Shin HD, Durocher K, Sequeira L, Zaheer J, Torous J, Strudwick G. Information and communication technology-based interventions for suicide prevention implemented in clinical settings: a scoping review. BMC Health Serv Res 2023; 23:281. [PMID: 36959599 PMCID: PMC10037806 DOI: 10.1186/s12913-023-09254-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 03/07/2023] [Indexed: 03/25/2023] Open
Abstract
BACKGROUND A large number of information and communication technology (ICT) based interventions exist for suicide prevention. However, not much is known about which of these ICTs are implemented in clinical settings and their implementation characteristics. In response, this scoping review aimed to systematically explore the breadth of evidence on ICT-based interventions for suicide prevention implemented in clinical settings and then to identify and characterize implementation barriers and facilitators, as well as evaluation outcomes, and measures. METHODS We conducted this review following the Joanna Briggs Institute methodology for scoping reviews. A search strategy was applied to the following six databases between August 17-20, 2021: MEDLINE, Embase, CINAHL, PsycINFO, Web of Science, and Library, Information Science and Technology Abstracts. We also supplemented our search with Google searches and hand-searching reference lists of relevant reviews. To be included in this review, studies must include ICT-based interventions for any spectrum of suicide-related thoughts and behaviours including non-suicidal self-injury. Additionally, these ICTs must be implemented in clinical settings, such as emergency department and in-patient units. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist to prepare this full report. RESULTS This review included a total of 75 citations, describing 70 studies and 66 ICT-based interventions for suicide prevention implemented in clinical settings. The majority of ICTs were computerized interventions and/or applications (n = 55). These ICTs were commonly used as indicated strategies (n = 49) targeting patients who were actively presenting with suicide risk. The three most common suicide prevention intervention categories identified were post-discharge follow-up (n = 27), screening and/or assessment (n = 22), and safety planning (n = 20). A paucity of reported information was identified related to implementation strategies, barriers and facilitators. The most reported implementation strategies included training, education, and collaborative initiatives. Barriers and facilitators of implementation included the need for resource supports, knowledge, skills, motivation as well as engagement with clinicians with research teams. Studies included outcomes at patient, clinician, and health system levels, and implementation outcomes included acceptability, feasibility, fidelity, and penetration. CONCLUSION This review presents several trends of the ICT-based interventions for suicide prevention implemented in clinical settings and identifies a need for future research to strengthen the evidence base for improving implementation. More effort is required to better understand and support the implementation and sustainability of ICTs in clinical settings. The findings can also serve as a future resource for researchers seeking to evaluate the impact and implementation of ICTs.
Collapse
Affiliation(s)
- Hwayeon Danielle Shin
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
| | - Keri Durocher
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Arthur Labatt Family School of Nursing, Western University, London, Ontario, Canada
- School of Health, Community Service & Creative Design, Lambton College, Sarnia, Ontario, Canada
| | - Lydia Sequeira
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Juveria Zaheer
- Health Outcomes and Performance Evaluation (HOPE) Research Unit, Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Gerald Sheff and Shanitha Kachan Emergency Department, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Gillian Strudwick
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| |
Collapse
|