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Stein NR, Stolzmann KL, Abel EA, Burgess CM, Franz A, Connolly SL, Meshberg N, Bailey HM, Osser DN, Smith EG, Bauer MS, Godleski L, Miller CJ. Ten Years of Bipolar Telehealth: Program Evaluation of a Team-Based Telemental Health Clinic. Telemed J E Health 2025; 31:269-278. [PMID: 39421937 DOI: 10.1089/tmj.2024.0411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2024] Open
Abstract
Objectives: Telemental health via videoconferencing (TMH-V) can overcome many of the barriers to accessing quality mental health care. Toward this end, in 2011, the U.S. Department of Veterans Affairs (VA) established the National Bipolar Disorders TeleHealth (BDTH) Program to provide expert mental health consultation and treatment to Veterans with bipolar spectrum disorders. Methods: Initial analyses of BDTH services suggested that participants had positive changes in quality-of-care indices and clinical outcomes; however, that evaluation was based on a limited sample of both participants and VA medical centers. We were able to confirm and expand upon those early results by using nearly eight times the number of participants and more than twice as many medical centers. Results: For the 2,456 Veterans who completed the intake to our program, there were significant improvements in some of the quality metrics (e.g., lithium use) and a 54% reduction in positive suicide screens (p < 0.05). The Veterans who completed the initial and postprogram assessments (n = 815) reported a 16.6% reduction in manic symptoms (p < 0.001), a 29.3% reduction in depressive symptoms (p < 0.001), and a 21.2% reduction in mood episodes (p < 0.001). Additionally, these Veterans demonstrated significant improvements (p < 0.001) in mental health-related quality of life between the two assessments. Conclusions: These analyses provide further support for the general effectiveness and safety of telemental health via videoconferencing. Future research should examine the generalizability of these findings across various subgroups (e.g., minority patients, patients in rural areas), populations, and health care systems.
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Affiliation(s)
- Nathan R Stein
- VA Boston Healthcare System, Brockton, Massachusetts, USA
- VA National Expert Consultation & Specialized Services, West Haven, Connecticut, USA
| | - Kelly L Stolzmann
- VA Boston Healthcare System, Center for Health Optimization and Implementation Research (CHOIR), Boston, Massachusetts, USA
| | - Erica A Abel
- VA National Expert Consultation & Specialized Services, West Haven, Connecticut, USA
- VA Connecticut Healthcare System, West Haven, Connecticut, USA
- Yale School of Medicine, New Haven, Connecticut, USA
| | - Claire M Burgess
- VA Boston Healthcare System, Brockton, Massachusetts, USA
- VA National Expert Consultation & Specialized Services, West Haven, Connecticut, USA
- Harvard Medical School, Department of Psychiatry, Boston, Massachusetts, USA
| | - Aleda Franz
- VA National Expert Consultation & Specialized Services, West Haven, Connecticut, USA
- VA Connecticut Healthcare System, West Haven, Connecticut, USA
- Yale School of Medicine, New Haven, Connecticut, USA
| | - Samantha L Connolly
- VA Boston Healthcare System, Center for Health Optimization and Implementation Research (CHOIR), Boston, Massachusetts, USA
- Harvard Medical School, Department of Psychiatry, Boston, Massachusetts, USA
| | - Nathaniel Meshberg
- Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Hannah M Bailey
- VA Boston Healthcare System, Center for Health Optimization and Implementation Research (CHOIR), Boston, Massachusetts, USA
| | - David N Osser
- VA Boston Healthcare System, Brockton, Massachusetts, USA
- VA National Expert Consultation & Specialized Services, West Haven, Connecticut, USA
- Harvard Medical School, Department of Psychiatry, Boston, Massachusetts, USA
| | - Eric G Smith
- VA National Expert Consultation & Specialized Services, West Haven, Connecticut, USA
- VA Bedford Healthcare System, Center for Health Optimization and Implementation Research (CHOIR), Bedford, Massachusetts, USA
- University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Mark S Bauer
- Harvard Medical School, Department of Psychiatry, Boston, Massachusetts, USA
| | - Linda Godleski
- Yale School of Medicine, New Haven, Connecticut, USA
- VA Greater Los Angeles Healthcare System, Los Angeles, California, USA
| | - Christopher J Miller
- VA National Expert Consultation & Specialized Services, West Haven, Connecticut, USA
- VA Boston Healthcare System, Center for Health Optimization and Implementation Research (CHOIR), Boston, Massachusetts, USA
- Harvard Medical School, Department of Psychiatry, Boston, Massachusetts, USA
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Pong C, Tseng RMWW, Tham YC, Lum E. Current Implementation of Digital Health in Chronic Disease Management: Scoping Review. J Med Internet Res 2024; 26:e53576. [PMID: 39666972 PMCID: PMC11671791 DOI: 10.2196/53576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 03/26/2024] [Accepted: 10/28/2024] [Indexed: 12/14/2024] Open
Abstract
BACKGROUND Approximately 1 in 3 adults live with multiple chronic diseases. Digital health is being harnessed to improve continuity of care and management of chronic diseases. However, meaningful uptake of digital health for chronic disease management remains low. It is unclear how these innovations have been implemented and evaluated. OBJECTIVE This scoping review aims to identify how digital health innovations for chronic disease management have been implemented and evaluated: what implementation frameworks, methods, and strategies were used; how successful these strategies were; key barriers and enablers to implementation; and lessons learned and recommendations shared by study authors. METHODS We used the Joanna Briggs Institute methodology for scoping reviews. Five databases were searched for studies published between January 2015 and March 2023: PubMed, Scopus, CINAHL, PsycINFO, and IEEE Xplore. We included primary studies of any study design with any type of digital health innovations for chronic diseases that benefit patients, caregivers, or health care professionals. We extracted study characteristics; type of digital health innovation; implementation frameworks, strategies, and outcome measures used; barriers and enablers to implementation; lessons learned; and recommendations reported by study authors. We used established taxonomies to synthesize extracted data. Extracted barriers and enablers were grouped into categories for reporting. Descriptive statistics were used to consolidate extracted data. RESULTS A total of 252 studies were included, comprising mainly mobile health (107/252, 42.5%), eHealth (61/252, 24.2%), and telehealth (97/252, 38.5%), with some studies involving more than 1 innovation. Only 23 studies (23/252, 9.1%) reported using an implementation science theory, model, or framework; the most common were implementation theories, classic theories, and determinant frameworks, with 7 studies each. Of 252 studies, 144 (57.1%) used 2 to 5 implementation strategies. Frequently used strategies were "obtain and use patient or consumer feedback" (196/252, 77.8%); "audit and provide feedback" (106/252, 42.1%); and piloting before implementation or "stage implementation scale-up" (85/252, 33.7%). Commonly measured implementation outcomes were acceptability, feasibility, and adoption of the digital innovation. Of 252 studies, 247 studies (98%) did not measure service outcomes, while patient health outcomes were measured in 89 studies (35.3%). The main method used to assess outcomes was surveys (173/252, 68.7%), followed by interviews (95/252, 37.7%). Key barriers impacting implementation were data privacy concerns and patient preference for in-person consultations. Key enablers were training for health care workers and personalization of digital health features to patient needs. CONCLUSIONS This review generated a summary of how digital health in chronic disease management is currently implemented and evaluated and serves as a useful resource for clinicians, researchers, health system managers, and policy makers planning real-world implementation. Future studies should investigate whether using implementation science frameworks, including how well they are used, would yield better outcomes compared to not using them.
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Affiliation(s)
- Candelyn Pong
- Health Services and Systems Research, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Rachel Marjorie Wei Wen Tseng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Yih Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Elaine Lum
- Health Services and Systems Research, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
- Centre for Population Health Research and Implementation, SingHealth, Singapore, Singapore
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Miller CJ, Bailey HM, Abel EA, Burgess CM, Connolly SL, Franz A, Smith E, Bauer MS. Efficacy of life goals collaborative care for bipolar disorder: A systematic review. J Affect Disord 2024; 359:356-363. [PMID: 38754598 DOI: 10.1016/j.jad.2024.05.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 04/17/2024] [Accepted: 05/12/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND Bipolar disorder remains a disabling mental health condition despite the availability of effective treatments. Collaborative chronic care models (CCMs) represent an evidence-based way to structure care for conditions like bipolar disorder. Life Goals Collaborative Care (LGCC) was designed specifically for bipolar disorder, featuring psychoeducation alongside collaborative components (e.g. nurse care management or expert psychiatric consultation). Despite the use of Life Goals across health systems, a systematic review summarizing its effectiveness has never been conducted. METHODS We conducted a systematic review of randomized controlled trials (RCTs) of LGCC through December 2023 to help guide the field in treating bipolar disorder (PROSPERO: #404581). We evaluated study quality and outcomes in several symptom and quality of life domains. RESULTS Ten articles describing eight studies met inclusion criteria. All studies featured group-based LGCC; most were compared to treatment as usual (TAU). Three of eight studies found LGCC to be associated with statistically significant effects for the prevention of manic episodes. Most studies finding positive effects featured additional collaborative care components beyond psychoeducation and were conducted in capitated healthcare systems. LIMITATIONS Limitations include: several types of potential bias in included studies; exclusion of observational studies of LGCC; lack of generalizability to pediatric populations; insufficient studies to conduct subgroup analyses; and low confidence in the quality of the evidence. CONCLUSIONS In this systematic review, group-based LGCC demonstrated some positive effects for reducing mania recurrence; results for other outcome domains were equivocal. Future studies should investigate one-on-one LGCC, both in person and virtually, to enhance well-being for people with bipolar disorder.
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Affiliation(s)
- Christopher J Miller
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, 150 S. Huntington Ave (152M), Boston, MA, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, USA; National Expert Consultation & Specialized Services - Mental Health (NEXCSS-MH), US Department of Veterans Affairs, Washington, DC, USA.
| | - Hannah M Bailey
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, 150 S. Huntington Ave (152M), Boston, MA, USA
| | - Erica A Abel
- National Expert Consultation & Specialized Services - Mental Health (NEXCSS-MH), US Department of Veterans Affairs, Washington, DC, USA; Pain Research, Informatics, Multimorbidities and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Claire M Burgess
- Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, USA; National Expert Consultation & Specialized Services - Mental Health (NEXCSS-MH), US Department of Veterans Affairs, Washington, DC, USA; Department of Mental Health, VA Boston Healthcare System, Boston, MA, USA
| | - Samantha L Connolly
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, 150 S. Huntington Ave (152M), Boston, MA, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, USA
| | - Aleda Franz
- National Expert Consultation & Specialized Services - Mental Health (NEXCSS-MH), US Department of Veterans Affairs, Washington, DC, USA; VA Connecticut Healthcare System, West Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Eric Smith
- VA Bedford Healthcare System, Bedford, MA, USA; Departments of Psychiatry and Population and Quantitative Health Sciences, U Mass Chan Medical School, Worcester, MA, USA
| | - Mark S Bauer
- Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, USA
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Berardi C, Antonini M, Jordan Z, Wechtler H, Paolucci F, Hinwood M. Barriers and facilitators to the implementation of digital technologies in mental health systems: a qualitative systematic review to inform a policy framework. BMC Health Serv Res 2024; 24:243. [PMID: 38408938 PMCID: PMC10898174 DOI: 10.1186/s12913-023-10536-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 12/28/2023] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND Despite the potential for improved population mental health and wellbeing, the integration of mental health digital interventions has been difficult to achieve. In this qualitative systematic review, we aimed to identify barriers and facilitators to the implementation of digital technologies in mental healthcare systems, and map these to an implementation framework to inform policy development. METHODS We searched Medline, Embase, Scopus, PsycInfo, Web of Science, and Google Scholar for primary research articles published between January 2010 and 2022. Studies were considered eligible if they reported barriers and/or facilitators to the integration of any digital mental healthcare technologies. Data were extracted using EPPI-Reviewer Web and analysed thematically via inductive and deductive cycles. RESULTS Of 12,525 references identified initially, 81 studies were included in the final analysis. Barriers and facilitators were grouped within an implementation (evidence-practice gap) framework across six domains, organised by four levels of mental healthcare systems. Broadly, implementation was hindered by the perception of digital technologies as impersonal tools that add additional burden of care onto both providers and patients, and change relational power asymmetries; an absence of resources; and regulatory complexities that impede access to universal coverage. Facilitators included person-cantered approaches that consider patients' intersectional features e.g., gender, class, disability, illness severity; evidence-based training for providers; collaboration among colleagues; appropriate investment in human and financial resources; and policy reforms that tackle universal access to digital health. CONCLUSION It is important to consider the complex and interrelated nature of barriers across different domains and levels of the mental health system. To facilitate the equitable, sustainable, and long-term digital transition of mental health systems, policymakers should consider a systemic approach to collaboration between public and private sectors to inform evidence-based planning and strengthen mental health systems. PROTOCOL REGISTRATION The protocol is registered on PROSPERO, CRD42021276838.
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Affiliation(s)
- Chiara Berardi
- Newcastle Business School, The University of Newcastle, Hunter St & Auckland St, 2300, Newcastle, NSW, Australia.
| | - Marcello Antonini
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
- Department of Health Policy, London School of Economics and Political Science, London, WC2A 2AE, UK
| | - Zephanie Jordan
- Newcastle Business School, The University of Newcastle, Hunter St & Auckland St, 2300, Newcastle, NSW, Australia
| | - Heidi Wechtler
- Newcastle Business School, The University of Newcastle, Hunter St & Auckland St, 2300, Newcastle, NSW, Australia
| | - Francesco Paolucci
- Newcastle Business School, The University of Newcastle, Hunter St & Auckland St, 2300, Newcastle, NSW, Australia
| | - Madeleine Hinwood
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
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Belkora JK, Ortiz DeBoque L, Folmer RL, Totten AM, Williams K, Whooley MA, Boudreau E, Atwood CW, Zeidler M, Rezayat T, Chilakamarri P, Sarmiento KF. Sustainment of the TeleSleep program for rural veterans. FRONTIERS IN HEALTH SERVICES 2023; 3:1214071. [PMID: 38028943 PMCID: PMC10668014 DOI: 10.3389/frhs.2023.1214071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 10/13/2023] [Indexed: 12/01/2023]
Abstract
Background In fiscal year 2021, the Veterans Health Administration (VHA) provided care for sleep disorders to 599,966 Veterans, including 189,932 rural Veterans. To further improve rural access, the VA Office of Rural Health developed the TeleSleep Enterprise-Wide Initiative (EWI). TeleSleep's telemedicine strategies include tests for sleep apnea at the Veteran's home rather than in a sleep lab; Clinical Video Telehealth applications; and other forms of virtual care. In 2017 and 2020, VHA provided 3-year start-up funding to launch new TeleSleep programs at rural-serving VA medical facilities. Methods In early 2022, we surveyed leaders of 24 sites that received TeleSleep funding to identify successes, failures, facilitators, and barriers relevant to sustaining TeleSleep implementations upon expiration of startup funding. We tabulated frequencies on the multiple choice questions in the survey, and, using the survey's critical incident framework, summarized the responses to open-ended questions. TeleSleep program leaders discussed the responses and synthesized recommendations for improvement. Results 18 sites reported sustainment, while six were "on track." Sustainment involved medical centers or regional entities incorporating TeleSleep into their budgets. Facilitators included: demonstrating value; aligning with local priorities; and collaborating with spoke sites serving rural Veterans. Barriers included: misalignment with local priorities; and hiring delays. COVID was a facilitator, as it stimulated adoption of telehealth practices; and also a barrier, as it consumed attention and resources. Recommendations included: longer startup funding; dedicated funding for human resources to accelerate hiring; funders communicating with local facility leaders regarding how TeleSleep aligns with organizational priorities; hiring into job classifications aligned with market pay; and obtaining, from finance departments, projections and outcomes for the return on investment in TeleSleep.
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Affiliation(s)
- Jeffrey K. Belkora
- San Francisco VA Health Care System, San Francisco, CA, United States
- Institute for Health Policy Studies and Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
| | | | - Robert L. Folmer
- VA Portland Health Care System, Portland, OR, United States
- Department of Otolaryngology, Oregon Health & Science University, Portland, OR, United States
| | - Annette M. Totten
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, United States
| | - Katherine Williams
- Measurement Science Quality Enhancement Research Initiative, San Francisco VA Health Care System, San Francisco, CA, United States
- Department of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Mary A. Whooley
- Measurement Science Quality Enhancement Research Initiative, San Francisco VA Health Care System, San Francisco, CA, United States
- Department of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Eilis Boudreau
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR, United States
- Department of Neurology, Oregon Health & Science University, Portland, OR, United States
| | - Charles W. Atwood
- Pulmonary Section and Sleep Medicine, VA Pittsburgh Healthcare System, Pittsburgh, PA, United States
- Division of Pulmonary, Allergy, Critical Care Medicine, UPMC and University of Pittsburgh, Pittsburgh, PA, United States
| | - Michelle Zeidler
- Pulmonary, Critical Care, and Sleep Medicine, VA Greater Los Angeles Health Care System, Los Angeles, CA, United States
- Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Talayeh Rezayat
- San Francisco VA Health Care System, San Francisco, CA, United States
- Department of Medicine, University of Nevada, Reno, NV, United States
| | - Priyanka Chilakamarri
- San Francisco VA Health Care System, San Francisco, CA, United States
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Kathleen F. Sarmiento
- San Francisco VA Health Care System, San Francisco, CA, United States
- Department of Medicine, University of California, San Francisco, San Francisco, CA, United States
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McVoy M, Miller D, Bransteter I, Gubitosi-Klug R, Segal T, Surdam J, Sajatovic M, Dusek JA. A self-management plus mind body intervention for adolescents and young adults with type 2 diabetes: Trial design and methodological report. Contemp Clin Trials 2023; 133:107317. [PMID: 37625585 DOI: 10.1016/j.cct.2023.107317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/25/2023] [Accepted: 08/22/2023] [Indexed: 08/27/2023]
Abstract
BACKGROUND The onset of type 2 diabetes (T2D) is increasingly common in adolescents and young adults (AYAs). Improving self-management skills and the mental health of this population is important, but understudied. METHODS The goal of this research was to develop a mind-body intervention which could serve as an adjunctive therapy to support AYAs with T2D (INTEND intervention). Toward that end, we used an iterative process, including use of focus groups, advisory board, and cognitive semi-structured interviews with patients, parents of patient and clinical providers, to understand the gaps in the current information provided to AYAs with T2D. Based on the data gathered from the focus groups and interviews, we enhanced an existing self-management intervention for adults with T2D to include an additional mind body intervention for AYAs with T2D. The INTEND intervention will be piloted in a group of AYAs with T2D. RESULTS This report describes the methodology and design of the InterveNTion for Early oNset type 2 Diabetes (INTEND) study. The details of this single arm pre-post pilot feasibility trial are described. DISCUSSION If successful, the INTEND approach has the potential to advance care for vulnerable youth with T2D.
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Affiliation(s)
- Molly McVoy
- Case Western Reserve University School of Medicine (CWRU SOM), USA; University Hospitals Cleveland Medical Center (UHCMC), USA; Rainbow Babies and Children, UHCMC, USA.
| | | | | | - Rose Gubitosi-Klug
- Case Western Reserve University School of Medicine (CWRU SOM), USA; Rainbow Babies and Children, UHCMC, USA
| | - Tracy Segal
- University Hospitals Connor Whole Health, USA
| | | | - Martha Sajatovic
- Case Western Reserve University School of Medicine (CWRU SOM), USA; University Hospitals Cleveland Medical Center (UHCMC), USA
| | - Jeffery A Dusek
- Case Western Reserve University School of Medicine (CWRU SOM), USA; University Hospitals Connor Whole Health, USA
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Izadi R, Bahrami MA, Khosravi M, Delavari S. Factors affecting the acceptance of tele-psychiatry: a scoping study. Arch Public Health 2023; 81:131. [PMID: 37443137 PMCID: PMC10339628 DOI: 10.1186/s13690-023-01146-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 07/02/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND In today's digital world, providing services through telemedicine has become an essential issue in health systems, and the Covid-19 pandemic has made this necessity even more apparent. On the other hand, mental health services are needed more than ever, and their nature makes their delivery via telemedicine more feasible than other specialized services. This study aimed to determine the factors affecting the acceptance of telemedicine among users of this technology in the field of mental health. METHODS This article is a scoping review based on the PRISMA guidelines and without any time limit until June 20, 2022. The search was performed in PubMed, Scopus, Web of Science, and PsycINFO databases using keywords related to the three fields of telemedicine, acceptance, and mental disorders. Two authors independently selected the studies based on inclusion and exclusion criteria. Then the data were collected using a data extraction form, and finally, the results were determined using the content analysis method. RESULTS Five main factors affect the acceptance of telemedicine among users of this technology in the field of mental health: perceived effectiveness, users' understanding of the effects of telemedicine on the quality and outcomes of care delivery, technological aspects, organizational change capacity, the nature of the disease and psychological and psychosocial factors. These main factors are associated with 21 related sub-factors. CONCLUSIONS Revealing the factors affecting the acceptance of telemedicine among recipients and providers of services, as key actors in health systems, can help managers and policymakers to successfully implement telemedicine in the less-regarded field of mental health, especially in the early stages.
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Affiliation(s)
- Reyhane Izadi
- Department of Health Care Management, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Amin Bahrami
- Health Human Resources Research Center, School of health management and information sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohsen Khosravi
- Department of Health Care Management, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sajad Delavari
- Health Human Resources Research Center, School of health management and information sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
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Farrell A, George N, Amado S, Wozniak J. A systematic review of the literature on telepsychiatry for bipolar disorder. Brain Behav 2022; 12:e2743. [PMID: 36102239 PMCID: PMC9575613 DOI: 10.1002/brb3.2743] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/28/2022] [Accepted: 07/26/2022] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE Bipolar (BP) disorder is a highly morbid disorder that is often misdiagnosed or undiagnosed and affects a large number of adults and children. Due to the coronavirus disease 2019 public health emergency stay at home orders, most outpatient mental health care was provided via telepsychiatry, and the many benefits of virtual care ensure that this will continue as an ongoing practice. The main aim of this review was to investigate what is currently known about the use of telepsychiatry services in the diagnosis and treatment of BP disorder across the lifespan. METHOD A systematic literature review assessing the use of telepsychiatry in BP disorder was conducted in PubMed, PsychINFO, and Medline. RESULTS Six articles were included in the final review. All included articles assessed populations aged 17 years or older. The literature indicates that BP disorder was addressed in telepsychiatry services at a similar rate as in-person services, reliable diagnoses can be made using remote interviews, satisfaction rates are comparable to in-person services, telepsychiatry services are able to reach and impact patients with BP disorder, are sustainable, and patient outcomes can improve using a telepsychiatry intervention. CONCLUSIONS Given the morbidity of BP disorder, the research addressing the telepsychiatry diagnosis and treatment of BP disorder is sparse, with only emerging evidence of its reliability, effectiveness, and acceptance. There is no research assessing the safety and efficacy of telepsychiatry in pediatric populations with BP disorder. Given the morbidity associated with BP disorder at any age, further research is needed to determine how to safely and effectively incorporate telepsychiatry into clinical care for BP adult and pediatric patients.
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Affiliation(s)
- Abigail Farrell
- Clinical and Research Program in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Psychology, University of Houston, Houston, Texas, USA
| | - Nevita George
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Selen Amado
- Clinical Psychology Department, University of Massachusetts Boston, Boston, Massachusetts, USA
| | - Janet Wozniak
- Clinical and Research Program in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
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Hohman JA, Martinez KA, Anand A, Rood M, Martyn T, Rose S, Rothberg MB. Use of Direct-to-Consumer Telemedicine to Access Mental Health Services. J Gen Intern Med 2022; 37:2759-2767. [PMID: 35091925 PMCID: PMC8799413 DOI: 10.1007/s11606-021-07326-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 12/14/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND The coronavirus disease 2019 pandemic has contributed to growing demand for mental health services, but patients face significant barriers to accessing care. Direct-to-consumer(DTC) telemedicine has been proposed as one way to increase access, yet little is known about its pre-pandemic use for mental healthcare. OBJECTIVE To characterize patients, providers, and their use of a large nationwide DTC telemedicine platform for mental healthcare. DESIGN Retrospective cross-sectional study. SETTING Mental health encounters conducted on the American Well DTC telemedicine platform from 2016 to 2018. PARTICIPANTS Patients and physicians. MAIN MEASURES Patient measures included demographics, insurance report, and number of visits. Provider characteristics included specialty, region, and number of encounters. Encounter measures included wait time, visit length and timing, out-of-pocket payment, coupon use, prescription outcome, referral receipt, where care otherwise would have been sought, and patient satisfaction. Factors associated with five-star physician ratings and prescription receipt were assessed using logistic regression. KEY RESULTS We analyzed 19,270 mental health encounters between 6708 patients and 1045 providers. Visits were most frequently for anxiety (39.1%) or depression (32.5%), with high satisfaction (4.9/5) across conditions. Patients had a median 2.0 visits for psychiatry (IQR 1.0-3.0) and therapy (IQR 1.0-5.0), compared to 1.0 visit (IQR 1.0-1.0) for urgent care. High satisfaction was positively correlated with prescription receipt (OR 1.89, 95% CI 1.54-2.32) and after-hours timing (aOR 1.18, 95% CI 1.02-1.36). Prescription rates ranged from 79.6% for depression to 32.2% for substance use disorders. Prescription receipt was associated with increased visit frequency (aOR 1.95, 95% CI 1.57-2.42 for ≥ 3 visits). CONCLUSIONS As the burden of psychiatric disease grows, DTC telemedicine offers one solution for extending access to mental healthcare. While most encounters were one-off, evidence of some continuity in psychiatry and therapy visits-as well as overall high patient satisfaction-suggests potential for broader DTC telemental health use.
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Affiliation(s)
- Jessica A Hohman
- Cleveland Clinic Center for Value-Based Care Research, Cleveland, OH, USA. .,Cleveland Clinic Community Care, Cleveland, OH, USA.
| | - Kathryn A Martinez
- Cleveland Clinic Center for Value-Based Care Research, Cleveland, OH, USA
| | - Amit Anand
- Cleveland Clinic Center for Behavioral Health, Cleveland, OH, USA
| | - Mark Rood
- Cleveland Clinic Community Care, Cleveland, OH, USA
| | - Trejeeve Martyn
- Cleveland Clinic Heart and Vascular Institute, Cleveland, OH, USA
| | - Susannah Rose
- Office of Patient Experience, Cleveland Clinic, Cleveland, OH, USA
| | - Michael B Rothberg
- Cleveland Clinic Center for Value-Based Care Research, Cleveland, OH, USA.,Cleveland Clinic Community Care, Cleveland, OH, USA
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10
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Moore DT, Wischik DL, Lazar CM, Vassallo GG, Rosen MI. The intertwined expansion of telehealth and buprenorphine access from a prescriber hub. Prev Med 2021; 152:106603. [PMID: 33974959 DOI: 10.1016/j.ypmed.2021.106603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 05/02/2021] [Accepted: 05/06/2021] [Indexed: 10/21/2022]
Abstract
In this manuscript, we describe how efforts to increase access to buprenorphine for Opioid Use Disorder (OUD) through a telemedicine hub before and since the COVID-19 pandemic have played out in the Veterans Healthcare Administration (VHA) in New England. We look at how the COVID-19 pandemic and subsequent spike in opioid overdoses tilted the risk: benefit calculation for tele-prescribing a controlled substance such as buprenorphine toward expanding access to tele-buprenorphine. We conclude that there is a need for tele-buprenorphine hubs that can fill gaps in geographically dispersed healthcare systems.
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Affiliation(s)
- David T Moore
- VA Connecticut Healthcare System, West Haven, CT, USA; Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA.
| | - Dora Lendvai Wischik
- VA Connecticut Healthcare System, West Haven, CT, USA; Yale University, School of Nursing, Orange, CT, USA
| | - Christina M Lazar
- VA Connecticut Healthcare System, West Haven, CT, USA; Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Gabriela Garcia Vassallo
- VA Connecticut Healthcare System, West Haven, CT, USA; Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA
| | - Marc I Rosen
- VA Connecticut Healthcare System, West Haven, CT, USA; Yale University, School of Medicine, Department of Psychiatry, New Haven, CT, USA
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11
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Puspitasari AJ, Heredia D, Gentry M, Sawchuk C, Theobald B, Moore W, Tiede M, Galardy C, Schak K, Clinic M. Rapid Adoption and Implementation of Telehealth Group Psychotherapy During COVID 19: Practical Strategies and Recommendations. COGNITIVE AND BEHAVIORAL PRACTICE 2021; 28:492-506. [PMID: 34188434 PMCID: PMC8223010 DOI: 10.1016/j.cbpra.2021.05.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 05/03/2021] [Indexed: 11/27/2022]
Abstract
Behavioral health services have been tasked with rapidly adopting and implementing teletherapy during the SARS-CoV-2/COVID-19 pandemic to assure patient and staff safety. Existing teletherapy guidelines were developed prior to the pandemic and do not capture the nuances of rapidly transitioning in-person individual and group-based treatments to a teletherapy format. In this paper, we describe our approach to quickly adapting to a teletherapy technology platform for an intensive outpatient program (IOP) guided by cognitive and behavioral modular principles for adults with serious mental illness. A review of existing guidelines was conducted and the staged approach for teletherapy implementation (Muir et al., 2020) was selected as the most appropriate model for our organizational context. We describe the most pertinent implementation strategies and report our preliminary findings detailing the feasibility of IOPs delivered via telehealth. This model of rapid teletherapy implementation offers practical clinical guidelines for administrators and clinicians seeking to transition traditional in-person behavioral health services to a teletherapy format.
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12
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Castiglione SA, Lavoie-Tremblay M. An Integrative Review of Organizational Factors Influencing Successful Large-Scale Changes in Healthcare. J Nurs Adm 2021; 51:264-270. [PMID: 33882554 DOI: 10.1097/nna.0000000000001011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The aim of this study was to review organizational factors influencing successful large-scale change (LSC) in healthcare. BACKGROUND LSC is necessary to achieve sustained and meaningful healthcare improvement. However, organizational readiness needs to be considered to promote successful LSC. METHODS Four databases were searched for articles published between 2009 and 2018. Thematic analysis was used to identify enabling or hindering factors to LSC. RESULTS Seven organizational factors were consistently described as facilitators of or barriers to successful LSC in healthcare: infrastructure support, organizational culture, leadership, change management approach, roles and responsibilities, networks, and measurement and feedback. CONCLUSION The factors that emerged from this review are consistent with concepts of implementation but broadened and highlight learning organizations in successful LSC. The results of this review informed the development of a reflective tool on LSC for nurse leaders.
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Affiliation(s)
- Sonia Angela Castiglione
- Author Affiliations: Doctoral Student and Part-Time Faculty Lecturer (Ms Castiglione) and Associate Professor (Dr Lavoie-Tremblay), Ingram School of Nursing, McGill University, Montréal, Québec, Canada
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13
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Ganapathy A, Clough BA, Casey LM. Organizational and Policy Barriers to the Use of Digital Mental Health by Mental Health Professionals. Telemed J E Health 2021; 27:1332-1343. [PMID: 33646057 DOI: 10.1089/tmj.2020.0455] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: Digital mental health (DMH) provides effective methods of overcoming issues of time constraints, accessibility, and availability of mental health care. They can provide a valuable means to deliver mental health care in the present pandemic. However, adoption of these methods has been slow. Mental health professional (MHP) concerns at the organizational and policy level that influence this slow adoption need to be examined. Materials and Methods: A narrative review was conducted to identify the barriers. Searches using the databases Scopus, Embase, and PubMed were conducted to identify research focused on barriers reported by MHPs to use DMH. Results: The search resulted in 356 unique citations, and 21 papers met the inclusion and exclusion criteria. Forward and backward sampling resulted in identifying an additional 19 relevant papers. Discussion: Unmet needs for information, training, and infrastructure, challenges to the workflow and excessive workloads, and ambiguous policies serve as barriers to DMH use. This article recommends strategies for researchers, organizations, DMH designers, and governmental institutions to ensure efficient utilization of DMH. Conclusion: Concerted efforts at individual, organizational, and governmental levels are essential to ensure efficient utilization of DMH.
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Affiliation(s)
- Aarthi Ganapathy
- School of Applied Psychology, Griffith University, Brisbane, Australia.,Menzies Health Institute, Mount Gravatt, Australia
| | - Bonnie A Clough
- School of Applied Psychology, Griffith University, Brisbane, Australia.,Menzies Health Institute, Mount Gravatt, Australia
| | - Leanne M Casey
- School of Applied Psychology, Griffith University, Brisbane, Australia.,Menzies Health Institute, Mount Gravatt, Australia
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14
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Dontje ML, Kruitwagen-van Reenen E, Visser-Meily JMA, Beelen A. Implementation and evaluation of an e-health innovation for personalized care for patients with amyotrophic lateral sclerosis (ALS): protocol for a participatory action research study. Implement Sci Commun 2021; 2:25. [PMID: 33632340 PMCID: PMC7905760 DOI: 10.1186/s43058-021-00130-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 02/15/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In the absence of a cure for amyotrophic lateral sclerosis (ALS), a progressive neurodegenerative disease, treatment consists of symptomatic management by a multidisciplinary healthcare team and is mainly aimed at optimizing patients' quality of life. Because the course of the disease is often erratic and varies between patients, it is imperative for patients with ALS to be closely monitored. E-health innovations that can monitor disease progression remotely have great potential to tailor the care to the needs of individual patients with ALS. Therefore, the e-health innovation "ALS Home-monitoring and Coaching" was developed employing a user-centered design process and implemented at the University Medical Center Utrecht, the Netherlands in 2017. Because ALS Home-monitoring and Coaching was shown to be feasible and well received by patients and healthcare professionals at University Medical Centre Utrecht, we aim to implement this e-health innovation nationwide, starting with 10 ALS care teams in different rehabilitation settings spread across the Netherlands. METHODS This research focuses on the implementation process and the user experiences with ALS Home-monitoring and Coaching of both patients and healthcare professionals. We will use a participatory action research approach, with the stakeholders involved in all stages of the implementation process. The implementation process model of Grol and Wensing was used to structure and support planning, execution and evaluation of the implementation strategy. The expected barriers and facilitators will be explored and identified in focus group settings using the Theoretical Domains Framework. After that, each team will develop their own action plan with strategies for how to resolve each barrier. The teams will include 5-10 ALS patients with whom they will test their implementation plan and provide care with ALS Home-monitoring and Coaching for approximately 3 months. Afterwards, the implementation and the user experiences will be evaluated with digital surveys based on the evaluation framework of Proctor (e.g., acceptability, adoption, appropriateness). DISCUSSION Using implementation theories, this study will provide inside in factors influencing implementation outcomes and strategies that can be used to overcome barriers. This will enhance our understanding of how to successfully implement e-health innovations in multidisciplinary care in rehabilitation settings. TRIAL REGISTRATION Trial NL8542 registered at Netherlands Trial Register (trialregister.nl) on 15th April 2020.
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Affiliation(s)
- M L Dontje
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, University Medical Centre, Utrecht, the Netherlands. .,Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands.
| | - E Kruitwagen-van Reenen
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, University Medical Centre, Utrecht, the Netherlands.,Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - J M A Visser-Meily
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, University Medical Centre, Utrecht, the Netherlands.,Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
| | - A Beelen
- Department of Rehabilitation, Physical Therapy Science and Sports, UMC Utrecht Brain Centre, University Medical Centre, Utrecht, the Netherlands.,Centre of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Centre, University Medical Centre Utrecht, and De Hoogstraat Rehabilitation, Utrecht, the Netherlands
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15
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James HM, Papoutsi C, Wherton J, Greenhalgh T, Shaw SE. Spread, Scale-up, and Sustainability of Video Consulting in Health Care: Systematic Review and Synthesis Guided by the NASSS Framework. J Med Internet Res 2021; 23:e23775. [PMID: 33434141 PMCID: PMC7837451 DOI: 10.2196/23775] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 11/27/2020] [Accepted: 12/17/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND COVID-19 has thrust video consulting into the limelight, as health care practitioners worldwide shift to delivering care remotely. Evidence suggests that video consulting is acceptable, safe, and effective in selected conditions and settings. However, research to date has mostly focused on initial adoption, with limited consideration of how video consulting can be mainstreamed and sustained. OBJECTIVE This study sought to do the following: (1) review and synthesize reported opportunities, challenges, and lessons learned in the scale-up, spread, and sustainability of video consultations, and (2) identify transferable insights that can inform policy and practice. METHODS We identified papers through systematic searches in PubMed, CINAHL, and Web of Science. Included articles reported on synchronous, video-based consultations that had spread to more than one setting beyond an initial pilot or feasibility stage, and were published since 2010. We used the Nonadoption, Abandonment, and challenges to the Scale-up, Spread, and Sustainability (NASSS) framework to synthesize findings relating to 7 domains: an understanding of the health condition(s) for which video consultations were being used, the material properties of the technological platform and relevant peripherals, the value proposition for patients and developers, the role of the adopter system, organizational factors, wider macro-level considerations, and emergence over time. RESULTS We identified 13 papers describing 10 different video consultation services in 6 regions, covering the following: (1) video-to-home services, connecting providers directly to the patient; (2) hub-and-spoke models, connecting a provider at a central hub to a patient at a rural center; and (3) large-scale top-down evaluations scaled up or spread across a national health administration. Services covered rehabilitation, geriatrics, cancer surgery, diabetes, and mental health, as well as general specialist care and primary care. Potential enablers of spread and scale-up included embedded leadership and the presence of a telehealth champion, appropriate reimbursement mechanisms, user-friendly technology, pre-existing staff relationships, and adaptation (of technology and services) over time. Challenges tended to be related to service development, such as the absence of a long-term strategic plan, resistance to change, cost and reimbursement issues, and the technical experience of staff. There was limited articulation of the challenges to scale-up and spread of video consultations. This was combined with a lack of theorization, with papers tending to view spread and scale-up as the sum of multiple technical implementations, rather than theorizing the distinct processes required to achieve widespread adoption. CONCLUSIONS There remains a significant lack of evidence that can support the spread and scale-up of video consulting. Given the recent pace of change due to COVID-19, a more definitive evidence base is urgently needed to support global efforts and match enthusiasm for extending use.
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Affiliation(s)
- Hannah M James
- Department of Knowledge Integration, University of Waterloo, Waterloo, ON, Canada
| | - Chrysanthi Papoutsi
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Joseph Wherton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Trisha Greenhalgh
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Sara E Shaw
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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16
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Muir SD, de Boer K, Nedeljkovic M, Meyer D. Barriers and facilitators of videoconferencing psychotherapy implementation in veteran mental health care environments: a systematic review. BMC Health Serv Res 2020; 20:999. [PMID: 33131495 PMCID: PMC7603749 DOI: 10.1186/s12913-020-05858-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 10/22/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Whilst treatment for mental health issues has traditionally been conducted in-person, advances in technology has seen a recent growth in the use of online video therapy services to help overcome access-to-care barriers faced by those living in rural locations and those unable to travel. These barriers are particularly apparent in the case of veteran populations, which is the focus of this review. Whilst the research investigating the efficacy of online video therapy to treat mental health issues among veterans is promising, widespread adoption and utilisation of this modality remains low with efforts often failing to progress past the pilot phase to implementation. This review focuses on the implementation of online video therapy in veteran mental health care settings and aims to identify the potential barriers and facilitators relevant to implementing the modality in military organisations. METHODS A systematic search of three databases (PsycInfo, PubMed, and Web of Science) was conducted. To be eligible for inclusion, studies had to investigate the challenges, lessons learnt, or factors operating as barriers and/or facilitators to the implementation of online video therapy in veteran health care systems. RESULTS The initial search revealed a total of 202 articles. This was reduced to 133 when duplicates were removed. After screening the titles and abstracts a further 70 articles were excluded leaving 63 to be retrieved for full review. A total of 10 studies were included in this review. The most commonly reported barriers were related to clinician concerns, logistical problems, and technology. Other barriers included access to resources as well as challenges posed by collaborations, policy and recruitment. Facilitators included experience using the modality and having dedicated staff responsible for promoting and managing the new service (e.g., on-site champions and telehealth technicians). CONCLUSIONS This review suggests that numerous barriers must be identified and addressed before attempting to implement an online video therapy service in veteran organisations. Further research is needed to establish best practice for implementation, particularly across geographically dispersed sites. It is hoped that the findings of this review will be used to help inform future implementation efforts and research initiatives in this space.
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Affiliation(s)
- Samuel D Muir
- School of Health Sciences, Swinburne University of Technology, Melbourne, Australia.
| | - Kathleen de Boer
- School of Health Sciences, Swinburne University of Technology, Melbourne, Australia
| | - Maja Nedeljkovic
- School of Health Sciences, Swinburne University of Technology, Melbourne, Australia
| | - Denny Meyer
- School of Health Sciences, Swinburne University of Technology, Melbourne, Australia
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17
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Burgess C, Miller CJ, Franz A, Abel EA, Gyulai L, Osser D, Smith EG, Connolly SL, Krawczyk L, Bauer M, Godleski L. Practical lessons learned for assessing and treating bipolar disorder via telehealth modalities during the COVID-19 pandemic. Bipolar Disord 2020; 22:556-557. [PMID: 32609942 PMCID: PMC7361639 DOI: 10.1111/bdi.12969] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Claire Burgess
- VA Boston Healthcare SystemBostonMAUSA,Harvard Medical SchoolBostonMAUSA,National Telemental Health Center, US Department of Veterans AffairsWashingtonDCUSA
| | - Christopher J. Miller
- VA Boston Healthcare SystemBostonMAUSA,Harvard Medical SchoolBostonMAUSA,National Telemental Health Center, US Department of Veterans AffairsWashingtonDCUSA
| | - Aleda Franz
- National Telemental Health Center, US Department of Veterans AffairsWashingtonDCUSA,VA Connecticut Health SystemWest HavenCTUSA,Yale School of MedicineNew HavenCTUSA
| | - Erica A. Abel
- National Telemental Health Center, US Department of Veterans AffairsWashingtonDCUSA,VA Connecticut Health SystemWest HavenCTUSA,Yale School of MedicineNew HavenCTUSA
| | - Laszlo Gyulai
- National Telemental Health Center, US Department of Veterans AffairsWashingtonDCUSA,CPL Michael J. Crescenz VA Medical CenterPhiladelphiaPAUSA,University of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - David Osser
- VA Boston Healthcare SystemBostonMAUSA,Harvard Medical SchoolBostonMAUSA,National Telemental Health Center, US Department of Veterans AffairsWashingtonDCUSA
| | - Eric G. Smith
- National Telemental Health Center, US Department of Veterans AffairsWashingtonDCUSA,Bedford VAMCBedfordMAUSA,University of Massachusetts Medical SchoolWorcesterMAUSA
| | | | - Lois Krawczyk
- VA Boston Healthcare SystemBostonMAUSA,Harvard Medical SchoolBostonMAUSA,National Telemental Health Center, US Department of Veterans AffairsWashingtonDCUSA
| | - Mark Bauer
- VA Boston Healthcare SystemBostonMAUSA,Harvard Medical SchoolBostonMAUSA,National Telemental Health Center, US Department of Veterans AffairsWashingtonDCUSA
| | - Linda Godleski
- National Telemental Health Center, US Department of Veterans AffairsWashingtonDCUSA,VA Connecticut Health SystemWest HavenCTUSA,Yale School of MedicineNew HavenCTUSA
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18
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Stolzmann K, Meterko M, Miller CJ, Belanger L, Seibert MN, Bauer MS. Survey Response Rate and Quality in a Mental Health Clinic Population: Results from a Randomized Survey Comparison. J Behav Health Serv Res 2020; 46:521-532. [PMID: 29948573 DOI: 10.1007/s11414-018-9617-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Given the limited ability of informatics-based assessment technologies to reach individuals with serious mental health conditions, this study evaluated the feasibility and data quality of mail-out healthcare surveys in this population to assist in measure selection for a multi-site controlled implementation trial. Veterans were randomly selected from those who had received services at a mental health clinic in the Department of Veterans Affairs, and were randomly assigned to one of three questionnaire lengths. Survey length (48-127 items) was not associated with differences in response rate, percent of items missing, or data quality. However, internal consistency reliability was variable among scales and survey lengths. Additional analyses indicate the above measures of survey data quality may differ among respondents who are non-white and younger and have psychotic disorders. These results can inform survey protocols to ensure maximal representation of this vulnerable population in health planning and policy assessment.
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Affiliation(s)
- Kelly Stolzmann
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, 150 South Huntington Avenue, (152M), Boston, MA, 02130, USA.
| | - Mark Meterko
- Performance Measurement, VHA Office of Analytics and Business Intelligence (OABI), ENRM Veterans Affairs Medical Center, 200 Springs Road, Bedford, MA, 01730, USA
- Department of Health Law, Policy and Management, Boston University School of Public Health and Management, Boston, USA
| | - Christopher J Miller
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, 150 South Huntington Avenue, (152M), Boston, MA, 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, USA
| | - Lindsay Belanger
- Oregon Health and Sciences University, 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239-3098, USA
| | - Marjorie Nealon Seibert
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, 150 South Huntington Avenue, (152M), Boston, MA, 02130, USA
| | - Mark S Bauer
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, 150 South Huntington Avenue, (152M), Boston, MA, 02130, USA
- Department of Psychiatry, Harvard Medical School, Boston, USA
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19
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Ellis LA, Augustsson H, Grødahl AI, Pomare C, Churruca K, Long JC, Ludlow K, Zurynski YA, Braithwaite J. Implementation of e-mental health for depression and anxiety: A critical scoping review. JOURNAL OF COMMUNITY PSYCHOLOGY 2020; 48:904-920. [PMID: 31944324 DOI: 10.1002/jcop.22309] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 12/09/2019] [Accepted: 12/10/2019] [Indexed: 06/10/2023]
Abstract
The aim of this review was to scope the growth and development of implementation research of e-mental healthcare programs for anxiety and depression, the research and evaluation tools used, and the specific implementation processes and outcomes examined. A search of four electronic databases (MEDLINE, EMBASE, PsycINFO, and CINAHL) was conducted from January 2000 to January 2019. Of 33 studies identified, most (n = 28) were published in the last five years. Only 10 used an implementation framework to guide implementation or evaluation. Most studies reported on acceptability (n = 28), appropriateness (n = 23), and feasibility (n = 17). Less commonly reported implementation outcomes were fidelity (n = 10) and adoption (n = 7); with penetration (n = 4), sustainability (n = 3), and implementation cost (n = 2) being studied rarely. Of the 21 studies that used surveys to study implementation outcomes, less than half used a previously published survey (n = 9). More rigorous implementation studies, underpinned by strong theory and real-world understanding, are urgently needed.
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Affiliation(s)
- Louise A Ellis
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Hanna Augustsson
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
- Department of Learning, Medical Management Centre, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden
| | - Anne I Grødahl
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Chiara Pomare
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Kate Churruca
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Janet C Long
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Kristiana Ludlow
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Yvonne A Zurynski
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
- Partnership Centre in Health System Sustainability, Australian Institute of Health Innovation, Macquarie University, NSW, Australia
| | - Jeffrey Braithwaite
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
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20
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Muir SD, de Boer K, Thomas N, Seabrook E, Nedeljkovic M, Meyer D. Videoconferencing Psychotherapy in the Public Sector: Synthesis and Model for Implementation. JMIR Ment Health 2020; 7:e14996. [PMID: 31961334 PMCID: PMC7001045 DOI: 10.2196/14996] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 09/24/2019] [Accepted: 09/30/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Videoconferencing psychotherapy (VCP) is a growing practice among mental health professionals. Early adopters have predominantly been in private practice settings, and more recent adoption has occurred in larger organizations, such as the military. The implementation of VCP into larger health service providers in the public sector is an important step in reaching and helping vulnerable and at-risk individuals; however, several additional implementation challenges exist for public sector organizations. OBJECTIVE The aim of this study was to offer an implementation model for effectively introducing VCP into public sector organizations. This model will also provide practical guidelines for planning and executing an embedded service trial to assess the effectiveness of the VCP modality once implemented. METHODS An iterative search strategy was employed, drawing on multiple fields of research across mental health, information technology, and organizational psychology. Previous VCP implementation papers were considered in detail to provide a synthesis of the barriers, facilitators, and lessons learned from the implementation attempts in the military and other public sector settings. RESULTS A model was formulated, which draws on change management for technology integration and considers the specific needs for VCP integration in larger organizations. A total of 6 phases were formulated and were further broken down into practical and measurable steps. The model explicitly considers the barriers often encountered in large organizational settings and suggests steps to increase facilitating factors. CONCLUSIONS Although the model proposed is time and resource intensive, it draws on a comprehensive understanding of larger organizational needs and the unique challenge that the introduction of VCP presents to such organizations.
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Affiliation(s)
- Samuel David Muir
- Centre for Mental Health, Swinburne University of Technology, Hawthorn, Australia
| | - Kathleen de Boer
- Centre for Mental Health, Swinburne University of Technology, Hawthorn, Australia
| | - Neil Thomas
- Centre for Mental Health, Swinburne University of Technology, Hawthorn, Australia
| | - Elizabeth Seabrook
- Centre for Mental Health, Swinburne University of Technology, Hawthorn, Australia
| | - Maja Nedeljkovic
- Centre for Mental Health, Swinburne University of Technology, Hawthorn, Australia
| | - Denny Meyer
- Centre for Mental Health, Swinburne University of Technology, Hawthorn, Australia
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21
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Zhao X, Innes KE, Bhattacharjee S, Dwibedi N, LeMasters TM, Sambamoorthi U. Facility and state-level factors associated with telemental health (TMH) adoption among mental health facilities in the United States. J Telemed Telecare 2019; 27:244-257. [PMID: 31475879 DOI: 10.1177/1357633x19868902] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Telemental health (TMH) is a promising approach to increase access to mental healthcare. This study examined the TMH adoption rates and associations with facility- and state-level factors among US mental health (MH) facilities. METHODS This retrospective, cross-sectional study used linked data for 2016 from the National Mental Health Services Survey (N = 11,833), Area Health Resources File, and national reports for broadband access and telehealth policies. The associations of facility and state-level characteristics with TMH adoption were examined with multi-level logistic regressions. RESULTS Overall, 25.9% had used TMH. Having veteran affiliation [Adjusted Odds Ratio (AOR) = 18.53, 95% Confidence Interval (95%CI): 10.66-32.21] and greater Information Technology (IT) capacity [AOR(95%CI): 2.89(2.10-3.98)] were the strongest correlates of TMH adoption. Other facility characteristics associated with higher likelihood of TMH adoption were: public ownership, high patient volumes, having comprehensive MH treatments or Quality Improvement practices, having private or non-Medicaid public payers, and treating elderly patients (AORs: 1.16-2.41). TMH adoption was less likely among facilities treating more African Americans or patients with substance abuse disorders. TMH adoption varied substantially across states, with adoption more likely in states issuing special telehealth licences and those with more rural counties. DISCUSSION One in four MH facilities adopted TMH in 2016. TMH adoption varied by multiple facility- and state-level factors. Our findings suggest that: legal/regulatory burden and lower facility IT capacity may discourage TMH adoption; significant racial disparities exist in TMH adoption; and there is a need to increase TMH use for substance abuse disorders.
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Affiliation(s)
- Xiaohui Zhao
- Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, West Virginia, USA
| | - Kim E Innes
- Department of Epidemiology, School of Public Health, West Virginia University, Morgantown, West Virginia, USA
| | - Sandipan Bhattacharjee
- Department of Pharmacy Practice & Science, College of Pharmacy, University of Arizona, Tucson, Arizona, USA
| | - Nilanjana Dwibedi
- Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, West Virginia, USA
| | - Traci M LeMasters
- Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, West Virginia, USA
| | - Usha Sambamoorthi
- Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, West Virginia, USA
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22
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Kilbourne AM, Prenovost KM, Liebrecht C, Eisenberg D, Kim HM, Un H, Bauer MS. Randomized Controlled Trial of a Collaborative Care Intervention for Mood Disorders by a National Commercial Health Plan. Psychiatr Serv 2019; 70:219-224. [PMID: 30602344 PMCID: PMC6522242 DOI: 10.1176/appi.ps.201800336] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Few individuals with mood disorders have access to evidence-based collaborative chronic care models (CCMs) because most patients are seen in small-group practices (<20 providers) with limited capacity to deliver CCMs. In this single-blind randomized controlled trial, we determined whether a CCM delivered nationally in a U.S. health plan improved 12-month outcomes among enrollees with mood disorders compared with usual care. METHODS Aetna insurance enrollees (N=238), mostly females (66.1%) with a mean age of 41.1 years, who were recently hospitalized for unipolar major depression or bipolar disorder provided informed consent, completed baseline assessments, and were randomly assigned to usual care or CCM. The CCM included 10 sessions of the Life Goals self-management program and brief contacts by phone by a care manager to determine symptom status. Primary outcomes were changes over 12 months in depression symptoms (nine-item Patient Health Questionnaire [PHQ-9]) and mental health-related quality of life (Short Form-12). RESULTS Adjusted mean PHQ-9 scores were lower by 2.34 points (95% confidence level [CL]=-4.18 to -0.50, p=0.01), indicating improved symptoms, and adjusted mean SF-12 mental health scores were higher by 3.21 points (CL=-.97 to 7.38, p=0.10), indicating better quality of life, among participants receiving CCM versus usual care. CONCLUSIONS Individuals receiving CCM compared with usual care had improved clinical outcomes, although substantial attrition may limit the impact of health plan-level delivery of CCMs. Further research on the use of health plan-level interventions, such as CCMs, as alternatives to practice-based models is warranted.
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Affiliation(s)
- Amy M Kilbourne
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Katherine M Prenovost
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Celeste Liebrecht
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Daniel Eisenberg
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Hyungjin Myra Kim
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Hyong Un
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
| | - Mark S Bauer
- Center for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Healthcare System, Ann Arbor, Michigan (Kilbourne, Kim); Department of Psychiatry, University of Michigan Medical School, North Campus, Ann Arbor (Kilbourne, Prenovost, Liebrecht); Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor (Eisenberg); Aetna Healthcare, Blue Bell, Pennsylvania (Un); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, and Department of Psychiatry, Harvard Medical School, Boston (Bauer)
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Aref-Adib G, McCloud T, Ross J, O'Hanlon P, Appleton V, Rowe S, Murray E, Johnson S, Lobban F. Factors affecting implementation of digital health interventions for people with psychosis or bipolar disorder, and their family and friends: a systematic review. Lancet Psychiatry 2019; 6:257-266. [PMID: 30522979 DOI: 10.1016/s2215-0366(18)30302-x] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 07/31/2018] [Accepted: 08/01/2018] [Indexed: 12/20/2022]
Abstract
Digital health interventions present an important opportunity to improve health care for people with psychosis or bipolar disorder, but despite their potential, integrating and implementing them into clinical settings has been difficult worldwide. This Review aims to identify factors affecting implementation of digital health interventions for people affected by psychosis or bipolar disorder. We searched seven databases and synthesised data from 26 studies using the Consolidated Framework for Implementation Research. Attitudes and beliefs about interventions were crucial factors for both staff and service users, with negative attitudes and scepticism resulting in a lack of motivation to engage with interventions or complete them. The complexity of the interventions was a barrier for people with psychiatric symptoms, low premorbid intelligence quotient, or minimal information technology skills. The accessibility and adaptability of interventions were key facilitators, but insufficient resources, finances, and staff time were barriers to implementation. Interventions need to be user friendly and adaptable to the needs and capabilities of people with psychosis or bipolar disorder, and the staff who support their implementation. Service users and staff should cofacilitate the process of developing and implementing the interventions.
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Affiliation(s)
- Golnar Aref-Adib
- Division of Psychiatry, University College London, London, UK; Camden and Islington National Health Service Foundation Trust, St Pancras Hospital, London, UK.
| | - Tayla McCloud
- Division of Psychiatry, University College London, London, UK
| | - Jamie Ross
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Puffin O'Hanlon
- Division of Psychiatry, University College London, London, UK
| | - Victoria Appleton
- Faculty of Health and Medicine, Furness College, Lancaster University, Lancaster, UK
| | - Sarah Rowe
- Division of Psychiatry, University College London, London, UK
| | - Elizabeth Murray
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Sonia Johnson
- Division of Psychiatry, University College London, London, UK; Camden and Islington National Health Service Foundation Trust, St Pancras Hospital, London, UK
| | - Fiona Lobban
- Faculty of Health and Medicine, Furness College, Lancaster University, Lancaster, UK
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24
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Kilbourne AM, Hynes D, O’Toole T, Atkins D. A research agenda for care coordination for chronic conditions: aligning implementation, technology, and policy strategies. Transl Behav Med 2018; 8:515-521. [DOI: 10.1093/tbm/ibx084] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Amy M Kilbourne
- Quality Enhancement Research Initiative (QUERI), Veterans Heath Administration, U.S. Department of Veterans Affairs, Washington DC, USA
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Denise Hynes
- VA Information Resource Center (VIREC), Hines VA Medical Center, Hines, IL, USA
- School of Public Health, University of Illinois, Chicago, USA
| | - Thomas O’Toole
- Providence VA Medical Center and Veterans Health Administration, Providence, RI
- Brown School of Medicine, Providence, RI, USA
| | - David Atkins
- Health Services Research and Development, Veterans Health Administration, U.S. Department of Veterans Affairs, Washington DC, USA
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