1
|
Hilty DM, Serhal E, Crawford A. A Telehealth and Telepsychiatry Economic Cost Analysis Framework: Scoping Review. Telemed J E Health 2023; 29:23-37. [PMID: 35639444 DOI: 10.1089/tmj.2022.0016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Introduction: Despite a good evidence base for telepsychiatry (TP), economic cost analyses are infrequent and vary in quality. Methods: A scoping review was conducted based on the research question, "From the perspective of an economic cost analysis for telehealth and telepsychiatry, what are the most meaningful ways to ensure a study/intervention improved clinical care, provided value to participants, had population level impact, and is sustainable?" The search in seven databases focused on keywords in four concept areas: (1) economic cost analysis, (2) evaluation, (3) telehealth and telepsychiatry, and (4) quantifiable health status outcomes. The authors reviewed the full-text articles based on the inclusion (Medical Subject Headings [MeSH] of the keywords) and exclusion criteria. Results: Of a total of 2,585 potential references, a total of 99 articles met the inclusion criteria. The evaluation of telehealth and TP has focused on access, quality, patient outcomes, feasibility, effectiveness, outcomes, and cost. Cost-effectiveness, cost-benefit, and other analytic models are more common with telehealth than TP studies, and these studies show favorable clinical, quality of life, and economic impact. A standard framework for economic cost analysis should include: an economist for planning, implementation, and evaluation; a tool kit or guideline; comprehensive analysis (e.g., cost-effectiveness or cost-benefit) with an incremental cost-effectiveness ratio; measures for health, quality of life, and utility outcomes for populations; methods to convert outcomes into economic benefits (e.g., monetary, quality of adjusted life year); broad perspective (e.g., societal perspective); sensitivity analysis for uncertainty in modeling; and adjustments for differential timing (e.g., discounting and future costs). Conclusions: Technology assessment and economic cost analysis-such as effectiveness and implementation science approaches-contribute to clinical, training, research, and other organizational missions. More research is needed with a framework that enables comparisons across studies and meta-analyses.
Collapse
Affiliation(s)
- Donald M Hilty
- Northern California Veterans Administration Health Care System, Mather, California, USA
- Department of Psychiatry & Behavioral Sciences, UC Davis, Sacramento, California, USA
| | - Eva Serhal
- ECHO Ontario Mental Health and ECHO Ontario Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada
| | - Allison Crawford
- ECHO Ontario Mental Health and ECHO Ontario Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
2
|
Vis C, Mol M, Kleiboer A, Bührmann L, Finch T, Smit J, Riper H. Improving Implementation of eMental Health for Mood Disorders in Routine Practice: Systematic Review of Barriers and Facilitating Factors. JMIR Ment Health 2018; 5:e20. [PMID: 29549072 PMCID: PMC5878369 DOI: 10.2196/mental.9769] [Citation(s) in RCA: 118] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 02/07/2018] [Accepted: 02/08/2018] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Electronic mental health interventions (eMental health or eMH) can be used to increase accessibility of mental health services for mood disorders, with indications of comparable clinical outcomes as face-to-face psychotherapy. However, the actual use of eMH in routine mental health care lags behind expectations. Identifying the factors that might promote or inhibit implementation of eMH in routine care may help to overcome this gap between effectiveness studies and routine care. OBJECTIVE This paper reports the results of a systematic review of the scientific literature identifying those determinants of practices relevant to implementing eMH for mood disorders in routine practice. METHODS A broad search strategy was developed with high sensitivity to four key terms: implementation, mental health care practice, mood disorder, and eMH. The reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework was applied to guide the review and structure the results. Thematic analysis was applied to identify the most important determinants that facilitate or hinder implementation of eMH in routine practice. RESULTS A total of 13,147 articles were screened, of which 48 studies were included in the review. Most studies addressed aspects of the reach (n=33) of eMH, followed by intervention adoption (n=19), implementation of eMH (n=6), and maintenance (n=4) of eMH in routine care. More than half of the studies investigated the provision of mental health services through videoconferencing technologies (n=26), followed by Internet-based interventions (n=20). The majority (n=44) of the studies were of a descriptive nature. Across all RE-AIM domains, we identified 37 determinants clustered in six main themes: acceptance, appropriateness, engagement, resources, work processes, and leadership. The determinants of practices are expressed at different levels, including patients, mental health staff, organizations, and health care system level. Depending on the context, these determinants hinder or facilitate successful implementation of eMH. CONCLUSIONS Of the 37 determinants, three were reported most frequently: (1) the acceptance of eMH concerning expectations and preferences of patients and professionals about receiving and providing eMH in routine care, (2) the appropriateness of eMH in addressing patients' mental health disorders, and (3) the availability, reliability, and interoperability with other existing technologies such as the electronic health records are important factors for mental health care professionals to remain engaged in providing eMH to their patients in routine care. On the basis of the taxonomy of determinants of practices developed in this review, implementation-enhancing interventions can be designed and applied to achieve better implementation outcomes. Suggestions for future research and implementation practice are provided.
Collapse
Affiliation(s)
- Christiaan Vis
- Department of Clinical, Neuro-, & Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Mental Health, Amsterdam Public Health Research Institute, Vrije Universiteit Medical Center / Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Mayke Mol
- Department of Mental Health, Amsterdam Public Health Research Institute, Vrije Universiteit Medical Center / Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Research and Innovation, Specialized Mental Health Care, GGZ InGeest, Amsterdam, Netherlands
| | - Annet Kleiboer
- Department of Clinical, Neuro-, & Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Mental Health, Amsterdam Public Health Research Institute, Vrije Universiteit Medical Center / Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Leah Bührmann
- Department of Clinical, Neuro-, & Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Mental Health, Amsterdam Public Health Research Institute, Vrije Universiteit Medical Center / Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Tracy Finch
- Healthcare & Implementation Science, Department of Nursing, Midwifery & Health, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Jan Smit
- Department of Mental Health, Amsterdam Public Health Research Institute, Vrije Universiteit Medical Center / Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Research and Innovation, Specialized Mental Health Care, GGZ InGeest, Amsterdam, Netherlands
| | - Heleen Riper
- Department of Clinical, Neuro-, & Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Mental Health, Amsterdam Public Health Research Institute, Vrije Universiteit Medical Center / Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Research and Innovation, Specialized Mental Health Care, GGZ InGeest, Amsterdam, Netherlands.,Telepsychiatric Unit, Faculty of Health Science, University Hospital / University of Southern Denmark, Odense, Denmark
| |
Collapse
|
5
|
Abstract
The use of telecommunications--telephone, computer, videoconferencing equipment--to provide mental health services at a distance has grown rapidly. This review encompasses reports from programs that provide telepsychiatry services, including telephone- and computer- based education and support services, telephone screening for dementia, and the use of videoconferencing to provide psychiatric consultations, health education, and administrative support. The extensive experience to date supports the value of telepsychiatry. Applications in geriatric settings and research involving geriatric subjects are reviewed. Cost analyses and economic evaluations of telepsychiatry are preliminary at this time and need further refinement. There is great potential for using telecommunications to expand access to mental health services to underserved geriatric populations.
Collapse
Affiliation(s)
- B N Jones
- Department of Psychiatry and Behavioral Medicine, J. Paul Sticht Center on Aging, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
| |
Collapse
|