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Wu T, Xiao X, Yan S, Fang Y, Wang M, Zu F, Zhang Y, Qian R. Digital health interventions to improve adherence to oral antipsychotics among patients with schizophrenia: a scoping review. BMJ Open 2023; 13:e071984. [PMID: 37977861 PMCID: PMC10660841 DOI: 10.1136/bmjopen-2023-071984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 10/30/2023] [Indexed: 11/19/2023] Open
Abstract
OBJECTIVES To assess the current evidence on the potential of digital health interventions (DHIs) to improve adherence to oral antipsychotics among patients with schizophrenia by assessing the methodologies, feasibility and effectiveness of DHIs as well as the perceptions of relevant stakeholders. DESIGN The scoping review was conducted based on the methodologies outlined by Levac et al and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. DATA SOURCES PubMed, Embase, Web of Science, Scopus, CINAHL, PsycINFO and the Cochrane Library were searched in August 2023 to identify relevant publications from the previous decade. ELIGIBILITY CRITERIA Studies published in English focused on improving medication adherence among adult patients with schizophrenia or schizoaffective disorder via DHIs were selected. Protocols, editorials, comments, perspectives, reviews, correspondence and conference abstracts were excluded. DATA EXTRACTION AND SYNTHESIS The extracted data included general information about the study, framework, participants, features and strategies of DHIs, measurement tools for adherence used, and main findings. RESULTS In total, 64 studies were included in the qualitative synthesis. Features used in DHIs to improve medication adherence included phone calls, text messages, mobile apps, sensors, web-based platforms and electronic devices. Strategies included medication reminders and monitoring, providing medication-related information and suggestions, other illness management suggestions and individual support. Texting and mobile apps were commonly used as medication reminders and monitoring methods. Additionally, the use of sensors combined with other digital technologies has garnered significant attention. All the interventions were considered acceptable and feasible, and several were assessed in pilot trials. Preliminary findings suggest that DHIs could enhance medication adherence in patients with schizophrenia. However, further validation of their effectiveness is required. CONCLUSION DHIs are a promising approach to enhancing medication adherence among patients with schizophrenia. Future interventions should be interactive, focusing on user preference, experience and privacy.
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Affiliation(s)
- Tao Wu
- Department of Nursing, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xu Xiao
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Shirui Yan
- Department of Nursing, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yuanyuan Fang
- Department of Nursing, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Min Wang
- Department of Adult Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Fengying Zu
- Department of Adult Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yanhong Zhang
- Department of Nursing, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Ruilian Qian
- Department of Nursing, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Best MW, Romanowska S, Zhou Y, Wang L, Leibovitz T, Onno KA, Jagtap S, Bowie CR. Efficacy of Remotely Delivered Evidence-Based Psychosocial Treatments for Schizophrenia-Spectrum Disorders: A Series of Systematic Reviews and Meta-Analyses. Schizophr Bull 2023; 49:973-986. [PMID: 37066769 PMCID: PMC10318881 DOI: 10.1093/schbul/sbac209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
BACKGROUND Schizophrenia is among the most persistent and debilitating mental health conditions worldwide. The American Psychological Association (APA) has identified 10 psychosocial treatments with evidence for treating schizophrenia and these treatments are typically provided in person. However, in-person services can be challenging to access for people living in remote geographic locations. Remote treatment delivery is an important option to increase access to services; however, it is unclear whether evidence-based treatments for schizophrenia are similarly effective when delivered remotely. STUDY DESIGN The current study consists of a series of systematic reviews and meta-analyses examining the evidence-base for remote-delivery of each of the 10 APA evidence-based treatments for schizophrenia. RESULTS Of the 10 treatments examined, only cognitive remediation (CR), cognitive-behavioral therapy (CBT), and family psychoeducation had more than 2 studies examining their efficacy for remote delivery. Remote delivery of CBT produced moderate effects on symptoms (g = 0.43) and small effects on functioning (g = 0.26). Remote delivery of CR produced small-moderate effects on neurocognition (g = 0.35) and small effects on functioning (g = 0.21). There were insufficient studies of family psychoeducation with equivalent outcome measures to assess quantitatively, however, studies of remotely delivered family psychoeducation suggested that it is feasible, acceptable, and potentially effective. CONCLUSIONS Overall, the evidence-base for remotely delivered treatment for schizophrenia is limited. Studies to date suggest that remote adaptations may be effective; however, more rigorous trials are needed to assess efficacy and methods of remote delivery that are most effective.
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Affiliation(s)
- Michael W Best
- Department of Psychological Clinical Science, University of Toronto Scarborough, CA, USA
- Ontario Shores Centre for Mental Health Sciences, CA, USA
| | - Sylvia Romanowska
- Department of Psychological Clinical Science, University of Toronto Scarborough, CA, USA
| | - Ying Zhou
- Department of Statistical Sciences, University of Toronto, CA, USA
| | - Linbo Wang
- Department of Statistical Sciences, University of Toronto, CA, USA
| | - Talia Leibovitz
- Department of Psychological Clinical Science, University of Toronto Scarborough, CA, USA
| | - Karin A Onno
- Department of Psychology, Lakehead University, CA, USA
| | - Shreya Jagtap
- Department of Psychological Clinical Science, University of Toronto Scarborough, CA, USA
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Homan P, Schooler NR, Brunette MF, Rotondi A, Ben-Zeev D, Gottlieb JD, Mueser KT, Achtyes ED, Gingerich S, Marcy P, Meyer-Kalos P, Hauser M, John M, Robinson DG, Kane JM. Relapse prevention through health technology program reduces hospitalization in schizophrenia. Psychol Med 2023; 53:4114-4120. [PMID: 35634965 DOI: 10.1017/s0033291722000794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Psychiatric hospitalization is a major driver of cost in the treatment of schizophrenia. Here, we asked whether a technology-enhanced approach to relapse prevention could reduce days spent in a hospital after discharge. METHODS The Improving Care and Reducing Cost (ICRC) study was a quasi-experimental clinical trial in outpatients with schizophrenia conducted between 26 February 2013 and 17 April 2015 at 10 different sites in the USA in an outpatient setting. Patients were between 18 and 60 years old with a diagnosis of schizophrenia, schizoaffective disorder, or psychotic disorder not otherwise specified. Patients received usual care or a technology-enhanced relapse prevention program during a 6-month period after discharge. The health technology program included in-person, individualized relapse prevention planning with treatments delivered via smartphones and computers, as well as a web-based prescriber decision support program. The main outcome measure was days spent in a psychiatric hospital during 6 months after discharge. RESULTS The study included 462 patients, of which 438 had complete baseline data and were thus used for propensity matching and analysis. Control participants (N = 89; 37 females) were enrolled first and received usual care for relapse prevention followed by 349 participants (128 females) who received technology-enhanced relapse prevention. During 6-month follow-up, 43% of control and 24% of intervention participants were hospitalized (χ2 = 11.76, p<0.001). Days of hospitalization were reduced by 5 days (mean days: b = -4.58, 95% CI -9.03 to -0.13, p = 0.044) in the intervention condition compared to control. CONCLUSIONS These results suggest that technology-enhanced relapse prevention is an effective and feasible way to reduce rehospitalization days among patients with schizophrenia.
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Affiliation(s)
- Philipp Homan
- Center for Psychiatric Neuroscience, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital of the University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University and ETH, Zurich, Switzerland
| | - Nina R Schooler
- Department of Psychiatry, SUNY Downstate Medical School, Brooklyn, NY, USA
| | - Mary F Brunette
- Department of Psychiatry, Dartmouth-Hitchcock, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Armando Rotondi
- Department of Critical Care Medicine, Clinical and Translational Sciences Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Mental Illness Research, Education and Clinical Center, U.S. Department of Veterans Affairs Medical Center, Pittsburgh, PA, USA
| | - Dror Ben-Zeev
- Department of Psychiatry and Behavioral Sciences, Behavioral Research in Technology and Engineering (BRiTE) Center, University of Washington School of Medicine, Seattle, WA, USA
| | - Jennifer D Gottlieb
- Cambridge Health Alliance, Division of Population Behavioral Health Innovation and Harvard Medical School Department of Psychiatry, Cambridge, MA, USA
| | - Kim T Mueser
- Center for Psychiatric Rehabilitation, Boston University, Boston, MA, USA
| | - Eric D Achtyes
- Cherry Health and Pine Rest Christian Mental Health Services, Grand Rapids, MI, USA
- Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, USA
| | - Susan Gingerich
- Independent Consultant and Trainer in Narberth, Narberth, Pennsylvania, USA
| | | | - Piper Meyer-Kalos
- University of Minnesota Medical School, Department of Psychiatry & Behavioral Sciences, Minneapolis, MN, USA
| | | | - Majnu John
- Center for Psychiatric Neuroscience, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Mathematics, Hofstra University, Hempstead, NY, USA
| | - Delbert G Robinson
- Center for Psychiatric Neuroscience, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - John M Kane
- Center for Psychiatric Neuroscience, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
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Eisner E, Berry N, Morris R, Emsley R, Haddock G, Machin M, Hassan L, Bucci S. Exploring engagement with the CBT-informed Actissist smartphone application for early psychosis. J Ment Health 2023; 32:643-654. [PMID: 36850040 DOI: 10.1080/09638237.2023.2182429] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 10/24/2022] [Accepted: 10/26/2022] [Indexed: 03/01/2023]
Abstract
BACKGROUND Individuals with psychosis report favourable attitudes towards psychological interventions delivered via smartphone apps. Evidence for acceptability, safety, feasibility and efficacy is promising but in-depth reporting of app engagement in trials is sparse. AIMS To examine how people with psychosis engaged with the cognitive behaviour therapy (CBT)-informed Actissist app over a 12-week intervention period, and to examine factors associated with app engagement. METHODS Secondary data from participants in the intervention arm (n = 24) of a proof-of-concept randomised controlled trial of the Actissist app were analysed. The app prompted participants to engage with app-based CBT-informed material in five domains (voices, socialization, cannabis use, paranoia, perceived criticism) at pseudo-random intervals (three notifications per day, six days per week). Participants could self-initiate use any time. App use was financially incentivised. RESULTS Participants responded to 47% of app notifications. Most app engagements (87%) were app-initiated rather than self-initiated. Participants engaged most with the voices domain, then paranoia. Age and employment status were significantly associated with overall app engagement. CONCLUSION Individuals with psychosis engaged well with Actissist, particularly with areas focussing on voice-hearing and paranoia. App-generated reminders successfully prompted app engagement. As financial incentives may have increased app engagement, future studies of non-incentivized engagement in larger samples are needed.
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Affiliation(s)
- Emily Eisner
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Research and Innovation, Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
| | - Natalie Berry
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Research and Innovation, Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
| | - Rohan Morris
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Gillian Haddock
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Research and Innovation, Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
| | - Matthew Machin
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, University of Manchester, Manchester, UK
| | - Lamiece Hassan
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Manchester Academic Health Science Centre, Zochonis Building, University of Manchester, Manchester, UK
- Research and Innovation, Greater Manchester Mental Health Foundation NHS Trust, Manchester, UK
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Simões de Almeida R, Marques A. User engagement in mobile apps for people with schizophrenia: A scoping review. Front Digit Health 2023; 4:1023592. [PMID: 36703941 PMCID: PMC9871567 DOI: 10.3389/fdgth.2022.1023592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 12/20/2022] [Indexed: 01/11/2023] Open
Abstract
Over the past decade, there has been an increase in the number of mobile apps designed for mental health proposes and mHealth has been perceived as a promising approach to help people with schizophrenia to manage their condition. However, adoption rates are relatively low and long-term user engagement is a major issue. The aim of this study is to identify and better understand what strategies and factors may influence user engagement and facilitate prolonged use of apps for people with schizophrenia to better manage their illness. A scoping review was conducted in accordance with the Arksey and O'Malley scoping review framework and following PRISMA ScR guidelines. The sources consisted of searching four electronic databases. Rayyan software was used for this study selection process and a narrative approach was used to synthesize the extracted data. A total of 28 studies which met the inclusion criteria were identified. The engagement strategies included push notifications, message prompts, personalization, application customization, goal setting, game-like features, use of different multimedia formats, social connectedness, support (peers and professionals), reliability of content and quality of feedback received. Some demographic factors may influence adherence such as age, gender, education level and socioeconomic status. Other factors also may play a role impacting engagement: health status, data privacy and security, involvement in design process, incentives for participation, app usage fitting in the user routines, initial training, and constant technical support. Included studies present high heterogeneity in outcome measures and thresholds criteria to assess engagement. Understanding what influences engagement and how to measure it is essential to enhance the design of mobile apps and deliver scalable solutions to help people with schizophrenia better manage their illness in their real-world uptake.
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Kwon S, Firth J, Joshi D, Torous J. Accessibility and availability of smartphone apps for schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:98. [PMID: 36385116 PMCID: PMC9668219 DOI: 10.1038/s41537-022-00313-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/05/2022] [Indexed: 05/25/2023]
Abstract
App-based interventions have the potential to enhance access to and quality of care for patients with schizophrenia. However, less is known about the current state of schizophrenia apps in research and how those translate to publicly available apps. This study, therefore, aimed to review schizophrenia apps offered on marketplaces and research literature with a focus on accessibility and availability. A search of recent reviews, gray literature, PubMed, and Google Scholar was conducted in August 2022. A search of the U.S. Apple App Store and Google Play App Store was conducted in July 2022. All eligible studies and apps were systematically screened/reviewed. The academic research search produced 264 results; 60 eligible studies were identified. 51.7% of research apps were built on psychosis-specific platforms and 48.3% of research apps were built on non-specific platforms. 83.3% of research apps offered monitoring functionalities. Only nine apps, two designed on psychosis-specific platforms and seven on non-specific platforms were easily accessible. The search of app marketplaces uncovered 537 apps; only six eligible marketplace apps were identified. 83.3% of marketplace apps only offered psychoeducation. All marketplace apps lacked frequent updates with the average time since last update 1121 days. There are few clinically relevant apps accessible to patients on the commercial marketplaces. While research efforts are expanding, many research apps are unavailable today. Better translation of apps from research to the marketplace and a focus on sustainable interventions are important targets for the field.
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Affiliation(s)
- Sam Kwon
- Department of Psychiatry, Beth Israel Deaconess Medical Center, 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
| | - Devayani Joshi
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA.
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Buck B, Nguyen J, Porter S, Ben-Zeev D, Reger GM. FOCUS mHealth Intervention for Veterans With Serious Mental Illness in an Outpatient Department of Veterans Affairs Setting: Feasibility, Acceptability, and Usability Study. JMIR Ment Health 2022; 9:e26049. [PMID: 35089151 PMCID: PMC8838564 DOI: 10.2196/26049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 02/15/2021] [Accepted: 10/04/2021] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Veterans with serious mental illnesses (SMIs) face barriers to accessing in-person evidence-based interventions that improve illness management. Mobile health (mHealth) has been demonstrated to be feasible, acceptable, effective, and engaging among individuals with SMIs in community mental health settings. mHealth for SMIs has not been tested within the Department of Veterans Affairs (VA). OBJECTIVE This study examines the feasibility, acceptability, and preliminary effectiveness of an mHealth intervention for SMI in the context of VA outpatient care. METHODS A total of 17 veterans with SMIs were enrolled in a 1-month pilot trial of FOCUS, a smartphone-based self-management intervention for SMI. At baseline and posttest, they completed measures examining symptoms and functional recovery. The participants provided qualitative feedback related to the usability and acceptability of the intervention. RESULTS Veterans completed on an average of 85.0 (SD 96.1) interactions with FOCUS over the 1-month intervention period. They reported high satisfaction, usability, and acceptability, with nearly all participants (16/17, 94%) reporting that they would recommend the intervention to a fellow veteran. Clinicians consistently reported finding mHealth-related updates useful for informing their care. Qualitative feedback indicated that veterans thought mHealth complemented their existing VA services well and described potential opportunities to adapt FOCUS to specific subpopulations (eg, combat veterans) as well as specific delivery modalities (eg, groups). In the 1-month period, the participants experienced small improvements in self-assessed recovery, auditory hallucinations, and quality of life. CONCLUSIONS The FOCUS mHealth intervention is feasible, acceptable, and usable among veterans. Future work should develop and examine VA-specific implementation approaches of FOCUS for this population.
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Affiliation(s)
- Benjamin Buck
- Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Janelle Nguyen
- VA Puget Sound Healthcare System, Seattle, WA, United States
| | - Shelan Porter
- VA Puget Sound Healthcare System, Seattle, WA, United States
| | - Dror Ben-Zeev
- Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
| | - Greg M Reger
- Behavioral Research in Technology and Engineering (BRiTE) Center, Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.,VA Puget Sound Healthcare System, Seattle, WA, United States
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Achtyes ED, Gega L, Linnaranta O. Editorial: mHealth: Self-Management and Complementary Psychiatric Treatment. Front Psychiatry 2021; 12:777090. [PMID: 34744848 PMCID: PMC8569125 DOI: 10.3389/fpsyt.2021.777090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 09/27/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Eric D. Achtyes
- Pine Rest Christian Mental Health Services, Grand Rapids, MI, United States
- Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, United States
| | - Lina Gega
- Department of Health Sciences and Hull York Medical School, University of York, York, United Kingdom
| | - Outi Linnaranta
- Mental Health Team, Finnish Institute for Health and Welfare, Helsinki, Finland
- Faculty of Medicine, Department of Psychiatry, McGill University, Quebec City, QC, Canada
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Castro V. Could technology enable individuals with schizophrenia to access health care? The case of Ecuador. JOURNAL OF ENABLING TECHNOLOGIES 2021. [DOI: 10.1108/jet-01-2021-0002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to fill in the gaps in the literature regarding health-care access for individuals with schizophrenia, with a focus on Ecuador, and how technology can enable health-care access during the pandemic.
Design/methodology/approach
To achieve this aim, the author reviewed peer-reviewed articles in English and Spanish (using, among other sources, Medline and ProQuest), the Ecuadorian Constitution, law projects on mental health and suicide and government reports.
Findings
The consensus seems to be that the Ecuadorian health-care system has failed in its constitutional mandate to provide essential care for mentally ill patients, such as those suffering from schizophrenia. The data supporting the use of the internet and smartphone technology for delivering health services during the pandemic are extremely clear, but substantive governmental responses have been lacking.
Research limitations/implications
The major limitation of this study is the lack of data on schizophrenia in Ecuador and the use of technology.
Originality/value
This evaluation of the current literature on the effect of the pandemic on access to health care for patients suffering from mental illness is much-needed and should provide a welcome data source for research, practice and policymaking.
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Borghouts J, Eikey E, Mark G, De Leon C, Schueller SM, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin DH. Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review. J Med Internet Res 2021; 23:e24387. [PMID: 33759801 PMCID: PMC8074985 DOI: 10.2196/24387] [Citation(s) in RCA: 246] [Impact Index Per Article: 82.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 12/24/2020] [Accepted: 02/08/2021] [Indexed: 01/14/2023] Open
Abstract
Background Digital mental health interventions (DMHIs), which deliver mental health support via technologies such as mobile apps, can increase access to mental health support, and many studies have demonstrated their effectiveness in improving symptoms. However, user engagement varies, with regard to a user’s uptake and sustained interactions with these interventions. Objective This systematic review aims to identify common barriers and facilitators that influence user engagement with DMHIs. Methods A systematic search was conducted in the SCOPUS, PubMed, PsycINFO, Web of Science, and Cochrane Library databases. Empirical studies that report qualitative and/or quantitative data were included. Results A total of 208 articles met the inclusion criteria. The included articles used a variety of methodologies, including interviews, surveys, focus groups, workshops, field studies, and analysis of user reviews. Factors extracted for coding were related to the end user, the program or content offered by the intervention, and the technology and implementation environment. Common barriers included severe mental health issues that hampered engagement, technical issues, and a lack of personalization. Common facilitators were social connectedness facilitated by the intervention, increased insight into health, and a feeling of being in control of one’s own health. Conclusions Although previous research suggests that DMHIs can be useful in supporting mental health, contextual factors are important determinants of whether users actually engage with these interventions. The factors identified in this review can provide guidance when evaluating DMHIs to help explain and understand user engagement and can inform the design and development of new digital interventions.
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Affiliation(s)
| | - Elizabeth Eikey
- University of California San Diego, San Diego, CA, United States
| | - Gloria Mark
- University of California Irvine, Irvine, CA, United States
| | | | | | | | - Nicole Stadnick
- University of California San Diego, San Diego, CA, United States
| | - Kai Zheng
- University of California Irvine, Irvine, CA, United States
| | - Dana Mukamel
- University of California Irvine, Irvine, CA, United States
| | - Dara H Sorkin
- University of California Irvine, Irvine, CA, United States
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Carleton KE, Patel UB, Stein D, Mou D, Mallow A, Blackmore MA. Enhancing the scalability of the collaborative care model for depression using mobile technology. Transl Behav Med 2020; 10:573-579. [DOI: 10.1093/tbm/ibz146] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
The collaborative care model (CoCM) has substantial support for improving behavioral health care in primary care. However, large-scale CoCM adoption relies on addressing operational and financial implementation challenges across health care settings with varying resources. An academic medical center serving socioeconomically and racially diverse patients implemented the CoCM in seven practices. A smartphone application was introduced to facilitate CoCM care management during depression treatment (app-augmented CoCM). App features included secure texting, goal/appointment reminders, symptom monitoring, and health education material. A nonrandomized convenience patient sample (N = 807) was enrolled in app-augmented CoCM and compared with patients in standard CoCM (N = 3,975). Data were collected on clinical contact frequency, engagement, and clinical outcomes. App-augmented CoCM patients received more health care team contacts (7.9 vs. 4.9, p < .001) and shorter time to follow up compared with the standard CoCM sample (mean = 11 vs. 19 days, p < .001). App-augmented CoCM patients had clinical outcomes similar to the standard CoCM group (47% vs. 46% with ≥50% depression improvement or score <10), despite app-augmented patients having more prior depression treatment episodes. Further, the app-augmented group with greater app engagement demonstrated increased behavioral health appointment compliance, including more completed appointments and fewer no shows, and greater depression symptom improvement than those with less app engagement. App-augmented CoCM may improve patient engagement in treatment and provide opportunities to implement key CoCM elements without overburdening practice resources. CoCM sustainability and scalability in primary care may be enhanced by using this technology.
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Affiliation(s)
| | | | | | - David Mou
- Smartphone Application Vendor, Brooklyn, NY
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Mote J, Fulford D. Ecological momentary assessment of everyday social experiences of people with schizophrenia: A systematic review. Schizophr Res 2020; 216:56-68. [PMID: 31874743 DOI: 10.1016/j.schres.2019.10.021] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 08/28/2019] [Accepted: 10/03/2019] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Our goal in the current review was to summarize the existing literature on the utility of ecological momentary assessment (EMA) in assessing the social experiences of people with schizophrenia (SZ). We were further interested in examining the associations between EMA-reported social outcomes and traditional assessments of social functioning. METHODS We conducted a systematic review of EMA studies published between January 1, 1990 and October 31, 2018 from PubMed and PsycINFO electronic databases. We included EMA studies that assessed social experiences (proportion of time spent alone/with others, affective experiences when with others, social stress, factors related to social experiences) in people with SZ. We included studies that examined associations between laboratory-based, self-report, or clinical assessments of functioning with EMA-reported social experiences. RESULTS We identified 22 EMA studies for inclusion in this review. Though heterogeneous in aspects of social experiences assessed, the current literature suggests that people with SZ report more social stress and a preference to be alone when they are with others (nine out of 10 studies). People with SZ report more positive affect when they are with others compared to being alone, and equivalent amounts of positive affect during social experiences as healthy controls (all four studies assessed). Five studies assessed the coherence between functioning assessments and momentary social experiences, with mixed results. CONCLUSION We discuss limitations of the literature and future directions. EMA shows promise in assessing more granular aspects of social experience (including social stress and social pleasure) in people with SZ compared to other methods.
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Affiliation(s)
- Jasmine Mote
- Sargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA.
| | - Daniel Fulford
- Sargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA; Department of Psychological & Brain Sciences, Boston University, 64 Cummington Mall, Boston, MA, 02215, USA
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13
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Wang YY, Long J, Liu YH, Liu TQ, Billieux J. Factor structure and measurement invariance of the problematic mobile phone use questionnaire-short version across gender in Chinese adolescents and young adults. BMC Psychiatry 2020; 20:34. [PMID: 32000726 PMCID: PMC6993418 DOI: 10.1186/s12888-020-2449-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 01/21/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Problematic mobile phone use (PMPU) has become a public health issue in China, particularly in adolescents and young adults. The Problematic Mobile Phone Use Questionnaire-Short Version (PMPUQ-SV) is a validated instrument that measures multiple aspects of PMPU. The current study aimed to test the psychometric characteristics of a Chinese adaption of the PMPUQ-SV and examine its measurement invariance across gender. METHODS A total of 2086 participants were recruited form nine schools (six undergraduate colleges and three vocational colleges) through an online platform. Measures included socio-demographic variables, patterns of mobile phone use, the Chinese version of the PMPUQ-SV (C-PMPUQ-SV), the Chinese version of the Smartphone Addiction Proneness Scale (C-SAPS), and the Depression Anxiety Stress Scales (DASS-21). RESULTS Exploratory and confirmatory factor analyses conducted in two independent subsamples confirmed that the postulated dimensions fit the data well. Four items, judged as either outdated or not adapted to the Chinese context, performed poorly and were removed, resulting in a shorter 11-item scale. Convergent validity was established through correlations between emotional symptoms and the C-PMPUQ-SV and addictive smartphone use. Additional measurement invariance analyses showed that the scale performed largely similarly in male and female participants. CONCLUSIONS The present study demonstrated that the C-PMPUQ-SV is an adequate instrument to study various types of PMPU in Chinese adolescents and young adults. The updated 11-item scale shortens the evaluation time and is adapted to assess contemporary smartphone use.
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Affiliation(s)
- Ying-Ying Wang
- 0000 0001 0379 7164grid.216417.7Department of Psychiatry, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011 Hunan China ,grid.489086.bThe China National Clinical Research Center on Mental Health Disorders (Xiangya), Chinese National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, No.139, Renmin Middle Road, Changsha, 410011 Hunan China ,Changsha Normal University, Changsha, Hunan People’s Republic of China
| | - Jiang Long
- 0000 0001 0379 7164grid.216417.7Department of Psychiatry, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011 Hunan China ,grid.489086.bThe China National Clinical Research Center on Mental Health Disorders (Xiangya), Chinese National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, No.139, Renmin Middle Road, Changsha, 410011 Hunan China ,0000 0001 2294 713Xgrid.7942.8Laboratory for Experimental Psychopathology, Psychological Science Research Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Yue-Heng Liu
- 0000 0001 0379 7164grid.216417.7Department of Psychiatry, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011 Hunan China ,grid.489086.bThe China National Clinical Research Center on Mental Health Disorders (Xiangya), Chinese National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, No.139, Renmin Middle Road, Changsha, 410011 Hunan China
| | - Tie-Qiao Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China. .,The China National Clinical Research Center on Mental Health Disorders (Xiangya), Chinese National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China.
| | - Joël Billieux
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland. .,Addictive and Compulsive Behaviors Lab (ACB - Lab), Institute for Health and Behavior, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
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14
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Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing LV, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow PC. Smartphones in mental health: a critical review of background issues, current status and future concerns. Int J Bipolar Disord 2020; 8:2. [PMID: 31919635 PMCID: PMC6952480 DOI: 10.1186/s40345-019-0164-x] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 10/24/2019] [Indexed: 02/06/2023] Open
Abstract
There has been increasing interest in the use of smartphone applications (apps) and other consumer technology in mental health care for a number of years. However, the vision of data from apps seamlessly returned to, and integrated in, the electronic medical record (EMR) to assist both psychiatrists and patients has not been widely achieved, due in part to complex issues involved in the use of smartphone and other consumer technology in psychiatry. These issues include consumer technology usage, clinical utility, commercialization, and evolving consumer technology. Technological, legal and commercial issues, as well as medical issues, will determine the role of consumer technology in psychiatry. Recommendations for a more productive direction for the use of consumer technology in psychiatry are provided.
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Affiliation(s)
- Michael Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Medical Faculty, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.
| | - Tasha Glenn
- ChronoRecord Association, Fullerton, CA, USA
| | - John Geddes
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Michael Gitlin
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Paul Grof
- Mood Disorders Center of Ottawa, Ottawa, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Lars V Kessing
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Scott Monteith
- Michigan State University College of Human Medicine, Traverse City Campus, Traverse City, MI, USA
| | - Maria Faurholt-Jepsen
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Emanuel Severus
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Medical Faculty, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
| | - Peter C Whybrow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles (UCLA), Los Angeles, CA, USA
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Liu G, Henson P, Keshavan M, Pekka-Onnela J, Torous J. Assessing the potential of longitudinal smartphone based cognitive assessment in schizophrenia: A naturalistic pilot study. Schizophr Res Cogn 2019; 17:100144. [PMID: 31024801 PMCID: PMC6476810 DOI: 10.1016/j.scog.2019.100144] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 03/25/2019] [Accepted: 04/04/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Although cognition is a core symptom of schizophrenia and associated with functional impairment, the degree of training for and time associated with its assessment makes it difficult to routinely monitor in clinic care.Smartphone based cognitive assessments could serve as a tool to measure cognition in real time as well as being easily scalable for broad use.Combined with other data gathered from smartphone sensors such as steps, sleep, and self-reported symptoms - capturing 'cognition in context' could provide a powerful new tool for assessing the functional burden of disease in schizophrenia. METHODS 18 participants with schizophrenia and 17 healthy controls completed novel cognitive assessments on their personal smartphones over the course of 12 weeks while also capturing self-reported surveys and step count. No payment or incentives were offered for engaging with the smartphone app. Differing levels of difficulty in cognitive tasks were tested and the results were modeled using a modified Cox proportional hazard model. RESULTS On the smartphone cognitive assessments that involved on simple patterns, both controls and those with schizophrenia achieved similar scores. On the more complex assessment that added task switching in addition to pattern recognition, those with schizophrenia achieved scores lower than controls. Collecting other forms of data such as surveys and steps was also feasible using the same smartphone platform. DISCUSSION It is feasible for those with schizophrenia to use their own smartphones to complete cognitive assessments and other measures related to their mental health. While we did not investigate the correlations between these cognitive assessments and other smartphone captured metrics like step count or self-reported symptoms, the potential to longitudinally assess cognition in the context of patients' environments outside of the clinic presents unique opportunities for characterizing cognitive burden in schizophrenia.
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Affiliation(s)
- Gang Liu
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, United States
| | - Philip Henson
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Matcheri Keshavan
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Jukka Pekka-Onnela
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, United States
| | - John Torous
- Division of Digital Psychiatry, Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
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