Dual Use of a Patient Portal and Clinical Video Telehealth by Veterans with Mental Health Diagnoses: Retrospective, Cross-Sectional Analysis
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Abstract
BACKGROUND: Access to mental health care is challenging. The Veterans Health Administration (VHA) has been addressing these challenges through technological innovations including the implementation of Clinical Video Telehealth, two-way interactive and synchronous videoconferencing between a provider and a patient, and an electronic patient portal and personal health record, My HealtheVet. OBJECTIVE: This study aimed to describe early adoption and use of My HealtheVet and Clinical Video Telehealth among VHA users with mental health diagnoses. METHODS: We conducted a retrospective, cross-sectional analysis of early My HealtheVet adoption and Clinical Video Telehealth engagement among veterans with one or more mental health diagnoses who were VHA users from 2007 to 2012. We categorized veterans into four electronic health (eHealth) technology use groups: My HealtheVet only, Clinical Video Telehealth only, dual users who used both, and nonusers of either. We examined demographic characteristics and mental health diagnoses by group. We explored My HealtheVet feature use among My HealtheVet adopters. We then explored predictors of My HealtheVet adoption, Clinical Video Telehealth engagement, and dual use using multivariate logistic regression. RESULTS: Among 2.17 million veterans with one or more mental health diagnoses, 1.51% (32,723/2,171,325) were dual users, and 71.72% (1,557,218/2,171,325) were nonusers of both My HealtheVet and Clinical Video Telehealth. African American and Latino patients were significantly less likely to engage in Clinical Video Telehealth or use My HealtheVet compared with white patients. Low-income patients who met the criteria for free care were significantly less likely to be My HealtheVet or dual users than those who did not. The odds of Clinical Video Telehealth engagement and dual use decreased with increasing age. Women were more likely than men to be My HealtheVet or dual users but less likely than men to be Clinical Video Telehealth users. Patients with schizophrenia or schizoaffective disorder were significantly less likely to be My HealtheVet or dual users than those with other mental health diagnoses (odds ratio, OR 0.50, CI 0.47-0.53 and OR 0.75, CI 0.69-0.80, respectively). Dual users were younger (53.08 years, SD 13.7, vs 60.11 years, SD 15.83), more likely to be white, and less likely to be low-income than the overall cohort. Although rural patients had 17% lower odds of My HealtheVet adoption compared with urban patients (OR 0.83, 95% CI 0.80-0.87), they were substantially more likely than their urban counterparts to engage in Clinical Video Telehealth and dual use (OR 2.45, 95% CI 1.95-3.09 for Clinical Video Telehealth and OR 2.11, 95% CI 1.81-2.47 for dual use). CONCLUSIONS: During this study (2007-2012), use of these technologies was low, leaving much potential for growth. There were sociodemographic disparities in access to My HealtheVet and Clinical Video Telehealth and in dual use of these technologies. There was also variation based on types of mental health diagnosis. More research is needed to ensure that these and other patient-facing eHealth technologies are accessible and effectively used by all vulnerable patients.
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Overall, 8 studies saw an effect of age: 2 studies found that people aged ≤50 years engaged more with interventions than older adults.
“Overall, 8 studies saw an effect of age: 2 studies found that people aged ≤50 years engaged more with interventions than older adults [66,67].”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [67]
The Results (Models Predicting Adoption; Table 4) show that age was associated with technology use among veterans with mental health diagnoses: those aged 60 or older had lower odds of portal adoption, video-telehealth engagement, and dual use than those under 40. The paper does not use a ≤50-year cutoff, and its measures are adoption or engagement with these technologies rather than engagement with interventions generally. The eight-study count is the citing paper’s synthesis, not a finding of this source. (LLM, conf=0.86)
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“Studies that found an effect of gender showed that women were more likely to adopt and engage with interventions [44,52-68].”
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- Authors
- Abel, E. A., Shimada, S. L., Wang, K., Ramsey, C., Skanderson, M., Erdos, J., Godleski, L., Houston, T. K., & Brandt, C. A.
- Affiliations
- Yale University (US)
- Boston University (US)
- VA Connecticut Healthcare System (US)
- University of Massachusetts Chan Medical School (US)
- Corresponding author
- Abel, Erica A
- ORCID
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2018-11-07
- Volume
- 20
- Issue
- 11
- Pages
- e11350
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC6249500
- OpenAlex
- W2890249611
- Cited by
- 42
- References
- 18
- Citations by year
- 2025: 2 · 2024: 7 · 2023: 4 · 2022: 6 · 2021: 10 · 2020: 8 · 2019: 5
- FWCI
- 5.48
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion, cc-by)
- Funders
- U.S. Department of Veterans Affairs
- Health Services Research and Development
- Quality Enhancement Research Initiative
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- patient portals, veterans, access to mental health care, schizophrenia, schizoaffective disorder, racial and ethnic disparities, socioeconomic disparities, gender disparities, age disparities, Veterans Health Administration, mental health diagnoses
- MeSH terms
- Patient Portals, Adolescent, Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Female, Humans, Male, Mental Health, Middle Aged, Retrospective Studies, United States, United States Department of Veterans Affairs, Telemedicine, Videoconferencing, Young Adult, Veterans Health
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