Research Priorities to Expand Virtual Care Access for Patients in the Veterans Affairs Health Care System.

The rapid expansion of virtual care is driving demand for equitable, high-quality access to technologies that are required to utilize these services. While the Department of Veterans Affairs (VA) is seen as a national leader in the implementation of telehealth, there remain gaps in evidence about the most promising strategies to expand access to virtual care. To address these gaps, in 2022, the VA's Health Services Research and Development service and Office of Connected Care held a "state-of-the-art" (SOTA) conference to develop research priorities for advancing the science, clinical practice, and implementation of virtual care. One workgroup within the SOTA focused on access to virtual care and addressed three questions: (1) Based on the existing evidence about barriers that impede virtual care access in digitally vulnerable populations, what additional research is needed to understand these factors? (2) Based on the existing evidence about digital inclusion strategies, what additional research is needed to identify the most promising strategies? and (3) What additional research beyond barriers and strategies is needed to address disparities in virtual care access? Here, we report on the workgroup's discussions and recommendations for future research to improve and optimize access to virtual care. Effective implementation of these recommendations will require collaboration among VA operational leadership, researchers, Human Factors Engineering experts and front-line clinicians as they develop, implement, and evaluate the spread of virtual care access strategies.

Adoption and Sustained Use of Primary Care Video Visits Among Veterans with VA Video-Enabled Tablets.

In 2020, the U.S. Department of Veterans Affairs (VA) expanded an initiative to distribute video-enabled tablets to Veterans with limited virtual care access. We examined patient characteristics associated with adoption and sustained use of video-based primary care among Veterans. We conducted a retrospective cohort study of Veterans who received VA-issued tablets between 3/11/2020-9/10/2020. We used generalized linear models to evaluate the sociodemographic and clinical factors associated with video-based primary care adoption (i.e., likelihood of having a primary care video visit) and sustained use (i.e., rate of video care) in the six months after a Veteran received a VA-issued tablet. Of the 36,077 Veterans who received a tablet, 69% had at least one video-based visit within six months, and 24% had a video-based visit in primary care. Veterans with a history of housing instability or a mental health condition, and those meeting VA enrollment criteria for low-income were significantly less likely to adopt video-based primary care. However, among Veterans who had a video visit in primary care (e.g., those with at least one video visit), older Veterans, and Veterans with a mental health condition had more sustained use (higher rate) than younger Veterans or those without a mental health condition. We found no differences in adoption of video-based primary care by rurality, age, race, ethnicity, or low/moderate disability and high disability priority groups compared to Veterans with no special enrollment category. VA's tablet initiative has supported many Veterans with complex needs in accessing primary care by video. While Veterans with certain social and clinical challenges were less likely to have a video visit, those who adopted video telehealth generally had similar or higher rates of sustained use. These patterns suggest opportunities for tailored interventions that focus on needs specific to initial uptake vs. sustained use of video care.

Trends and geographic differences in social work telehealth utilization.

We plotted trends in social work telehealth use among Veterans in a U.S. national social work staffing program and examined the relationship between geographic factors (rurality and neighborhood disadvantage) and telehealth use (audio and video) using linear probability models. Social work telehealth use increased among Veterans during the COVID-19 pandemic. There were no geographic differences in telephone telehealth use. Video telehealth use was less common among Veterans in isolated rural areas and among Veterans in highly disadvantaged areas. Outreach efforts can address barriers that Veterans who live in rural and disadvantaged areas may experience in using video telehealth.

Incorporating TechQuity in Virtual Care Within the Veterans Health Administration: Identifying Future Research and Operations Priorities.

BACKGROUND: The Covid-19 pandemic dramatically changed healthcare delivery, driving rapid expansion of synchronous (i.e., real-time) audio-only and video telehealth, otherwise known as virtual care. Yet evidence describes significant inequities in virtual care utilization, with certain populations more dependent on audio-only virtual care than video-based care. Research is needed to inform virtual care policies and processes to counteract current inequities in access and health outcomes. OBJECTIVE: Given the importance of incorporating equity into virtual care within the Veterans Health Administration (VHA), we convened a Think Tank to identify priorities for future research and virtual care operations focused on achieving equitable implementation of virtual care within the VHA. METHODS: We used participatory activities to engage clinicians, researchers, and operational partners from across the VHA to develop priorities for equitable implementation of virtual care. We refined priorities through group discussion and force-ranked prioritization and outlined next steps for selected priorities. KEY RESULTS: Think Tank participants included 43 individuals from the VHA who represented diverse geographical regions, offices, and backgrounds. Attendees self-identified their associations primarily as operations (n = 9), research (n = 28), or both (n = 6). We identified an initial list of 63 potential priorities for future research and virtual care operations. Following discussion, we narrowed the list to four priority areas: (1) measure inequities in virtual care, (2) address emerging inequities in virtual care, (3) deploy virtual care equitably to accommodate differently abled veterans, and (4) measure and address potential adverse consequences of expanded virtual care. We discuss related information, data, key partners, and outline potential next steps. CONCLUSIONS: This Think Tank of research and operational partners from across the VHA identified promising opportunities to incorporate equity into the design and implementation of virtual care. Although much work remains, the priorities identified represent important steps toward achieving this vital goal.

Overcoming Access Barriers for Veterans: Cohort Study of the Distribution and Use of Veterans Affairs' Video-Enabled Tablets Before and During the COVID-19 Pandemic.

BACKGROUND: During the COVID-19 pandemic, as health care services shifted to video- and phone-based modalities for patient and provider safety, the Veterans Affairs (VA) Office of Connected Care widely expanded its video-enabled tablet program to bridge digital divides for veterans with limited video care access. OBJECTIVE: This study aimed to characterize veterans who received and used US Department of VA-issued video-enabled tablets before versus during the COVID-19 pandemic. METHODS: We compared sociodemographic and clinical characteristics of veterans who received VA-issued tablets during 6-month prepandemic and pandemic periods (ie, from March 11, 2019, to September 10, 2019, and from March 11, 2020, to September 10, 2020). Then, we examined characteristics associated with video visit use for primary and mental health care within 6 months after tablet shipment, stratifying models by timing of tablet receipt. RESULTS: There was a nearly 6-fold increase in the number of veterans who received tablets in the pandemic versus prepandemic study periods (n=36,107 vs n=6784, respectively). Compared to the prepandemic period, tablet recipients during the pandemic were more likely to be older (mean age 64 vs 59 years), urban-dwelling (24,504/36,107, 67.9% vs 3766/6784, 55.5%), and have a history of housing instability (8633/36,107, 23.9% vs 1022/6784, 15.1%). Pandemic recipients were more likely to use video care (21,090/36,107, 58.4% vs 2995/6784, 44.2%) and did so more frequently (5.6 vs 2.3 average encounters) within 6 months of tablet receipt. In adjusted models, pandemic and prepandemic video care users were significantly more likely to be younger, stably housed, and have a mental health condition than nonusers. CONCLUSIONS: Although the COVID-19 pandemic led to increased distribution of VA-issued tablets to veterans with complex clinical and social needs, tablet recipients who were older or unstably housed remained less likely to have a video visit. The VA's tablet distribution program expanded access to video-enabled devices, but interventions are needed to bridge disparities in video visit use among device recipients.

Evaluation of the Use of Telehealth Video Visits for Veterans With Chronic Pain.

BACKGROUND: Telehealth video visits are essential for delivering timely care while mitigating exposure during the COVID-19 pandemic. Telehealth video visits have the potential to improve missed appointments, reduce costs associated with Veterans Affairs (VA) travel reimbursement, and lead to positive patient and provider satisfaction. AIMS: This evidence-based improvement project sought to evaluate whether telehealth visits reduce the occurrence of missed appointments, determine cost savings associated with the VA travel reimbursement and assess patient and provider satisfaction with telehealth video visits. DESIGN: Evidence-based improvement project. SETTING: A retrospective chart review was conducted on military veterans with chronic pain who completed a telehealth video visit in the VA San Diego (VASD) pain clinic. METHODS: Missed appointment rates were compared from before (April 1, 2019-October 1, 2019) to after (April 1, 2020-October 1, 2020) implementation of the telehealth video visits. Estimated travel reimbursement for qualified patients was calculated per VA policy. Electronic satisfaction surveys were administered to patients and nurse practitioners to assess satisfaction with telehealth video visits. RESULTS: There was an 82.5% reduction in missed appointments from pre to post implementation of telehealth video visits. There was an estimated cost savings in travel reimbursements of $3,308.30. Overall, 93.62% of patients (n = 42) were satisfied with their video visits and there was a high degree of satisfaction in implementing video visits among the nurse practitioners (n = 3). CONCLUSIONS: The use of telehealth video visits during the COVID-19 pandemic reduced missed appointments, exhibited cost savings in VA travel reimbursement, and led to positive patient and provider satisfaction.

Organizational and External Factors Associated with Video Telehealth Use in the Veterans Health Administration Before and During the COVID-19 Pandemic.

Objectives: To identify organizational and external factors associated with medical center video telehealth uptake (i.e., the proportion of patients using telemedicine) before and early in the coronavirus disease 2019 (COVID-19) pandemic. Materials and Methods: We conducted a retrospective, observational study using cross-sectional data for all 139 U.S. Veterans Affairs Medical Centers (VAMCs). We used logistic regression analyses to identify factors that predicted whether a VAMC was in the top quartile of VA Video Connect (VVC) telehealth uptake for primary care and mental health care. Results: All 139 VAMCs increased their VVC uptake at least 2-fold early in the pandemic, with most increasing uptake between 5- and 10-fold. Pre-COVID-19, higher VVC uptake in primary care was weakly and positively associated with having more high-risk patients, negatively associated with having more long-distance patients, and positively associated with the prior fiscal year's VVC uptake. During COVID-19, the positive association with high-risk patients and the negative association with long-distance patients strengthened, while weaker broadband coverage was negatively associated with VVC uptake. For mental health care, having more long-distance patients was positively associated with higher VVC uptake pre-COVID-19, but this relationship reversed during COVID-19. Discussion: Despite the marked increase in VVC uptake early in the COVID-19 pandemic, significant VAMC-level variation indicates that VVC adoption was more difficult for some medical centers, particularly those with poorer broadband coverage and less prior VVC experience. Conclusions and Relevance: These findings highlight opportunities for medical centers, VA Central Office, and other federal entities to ensure equitable access to video telehealth.

Rapid Increase in Telemental Health Within the Department of Veterans Affairs During the COVID-19 Pandemic.

Background: The use of telemental health via videoconferencing (TMH-V) became critical during the Coronavirus disease 2019 (COVID-19) pandemic due to restriction of non-urgent in-person appointments. The current brief report demonstrates the rapid growth in TMH-V appointments in the weeks following the pandemic declaration within the Department of Veterans Affairs (VA), the largest healthcare system in the United States. Methods: COVID-19 changes in TMH-V appointments were captured during the six weeks following the World Health Organization's pandemic declaration (March 11, 2020-April 22, 2020). Pre-COVID-19 TMH-V encounters were assessed from October 1, 2017 to March 10, 2020. Results: Daily TMH-V encounters rose from 1,739 on March 11 to 11,406 on April 22 (556% growth, 222,349 total encounters). Between March 11-April 22, 114,714 patients were seen via TMH-V, and 77.5% were first-time TMH-V users. 12,342 MH providers completed a TMH-V appointment between March 11-April 22, and 34.7% were first-time TMH-V users. The percentage growth of TMH-V appointments was higher than the rise in telephone appointments (442% growth); in-person appointments dropped by 81% during this time period. Discussion and Conclusions: The speed of VA's growth in TMH-V appointments in the wake of the COVID-19 pandemic was facilitated by its pre-existing telehealth infrastructure, including earlier national efforts to increase the number of providers using TMH-V. Longstanding barriers to TMH-V implementation were lessened in the context of a pandemic, during which non-urgent in-person MH care was drastically reduced. Future work is necessary to understand the extent to which COVID-19 related changes in TMH-V use may permanently impact mental health care provision.

Do Collaborative Care Managers and Technology Enhance Primary Care Satisfaction with Care from Embedded Mental Health Providers?

BACKGROUND: To improve mental health care access, the Veterans Health Administration (VA) implemented Primary Care-Mental Health Integration (PC-MHI) in clinics nationally. Primary care clinical leader satisfaction can inform model implementation and may be facilitated by collaborative care managers and technology supporting cross-specialty collaboration. OBJECTIVE: (1) To determine primary care clinical leaders' overall satisfaction with care from embedded mental health providers for a range of conditions and (2) to examine the association between overall satisfaction and two program features (care managers, technology). DESIGN: Cross-sectional organizational survey in one VA region (Southern California, Arizona, and New Mexico), 2018. PARTICIPANTS: Sixty-nine physicians or other designated clinical leaders in each VA primary care clinic (94% response rate). MAIN MEASURES: We assessed primary care clinical leader satisfaction with embedded mental health care on four groups of conditions: target, non-target mental health, behavioral health, suicide risk management. They additionally responded about the availability of mental health care managers and the sufficiency of information technology (telemental health, e-consult, instant messaging). We examined relationships between satisfaction and the two program features using χ2 tests and multivariable regressions. KEY RESULTS: Most primary care clinical leaders were "very satisfied" with care for targeted anxiety (71%) and depression (69%), but not for other common conditions (37% alcohol misuse, 19% pain). Care manager availability was significantly associated with "very satisfied" responses for depression (p = .02) and anxiety care by embedded mental health providers (p = .02). Highly rated sufficiency of communication technology (only 19%) was associated with "very satisfied" responses to suicide risk management (p = .002). CONCLUSIONS: Care from embedded mental health providers for depression and anxiety was highly satisfactory, which may guide improvement among less satisfactory conditions (alcohol misuse, pain). Observed associations between overall satisfaction and collaborative care features may inform clinics on how to optimize staffing and technology based on priority conditions.

Influence of shared medical appointments on patient satisfaction: a retrospective 3-year study.

PURPOSE: Shared medical appointments (SMAs) are becoming popular, but little is known about their association with patient experience in primary care. We performed an exploratory analysis examining overall satisfaction and patient-centered care experiences across key domains of the patient-centered medical home among patients attending SMAs vs usual care appointments. METHODS: We undertook a cross-sectional study using a mailed questionnaire measuring levels of patient satisfaction and other indicators of patient-centered care among 921 SMA and 921 usual care patients between 2008 and 2010. Propensity scores adjusted for potential case mix differences between the groups. Multivariate logistic regression assessed propensity-matched patients' ratings of care. Generalized estimating equations accounted for physician-level clustering. RESULTS: A total of 40% of SMA patients and 31% of usual care patients responded. In adjusted analyses, SMA patients were more likely to rate their overall satisfaction with care as "very good" when compared with usual care counterparts (odds ratio=1.26; 95% CI, 1.05-1.52). In the analysis of patient-centered medical home elements, SMA patients rated their care as more accessible and more sensitive to their needs, whereas usual care patients reported greater satisfaction with physician communication and time spent during their appointment. CONCLUSIONS: Overall, SMA patients appear more satisfied with their care relative to patients receiving usual care. SMAs may also improve access to care and deliver care that patients find to be sensitive to their needs. Further research should focus on enhancing patient-clinician communication within an SMA as this model of care becomes more widely adopted.

Implementation of Video-Based Care in Interdisciplinary Primary Care Settings at the Veterans Health Administration: Qualitative Study.

BACKGROUND: With the rapid shift to telehealth, there remains a knowledge gap in how video-based care is implemented in interdisciplinary primary care (PC) settings. OBJECTIVE: The objective of this study was to gain an in-depth understanding of how video telehealth services were implemented in PC from the perspectives of patients and interdisciplinary PC team members at the Veterans Health Administration (VHA) 2 years after the onset of the COVID-19 pandemic. METHODS: We applied a positive and negative deviance approach and selected the 6% highest (n=8) and the 6% lowest (n=8) video-using PC sites in 2022 from a total of 130 VHA medical centers nationally. A total of 12 VHA sites were included in the study, where 43 PC interdisciplinary team members (August-October 2022) and 25 patients (February-May 2023) were interviewed. The 5 domains from the diffusion of innovation theory and the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework guided the development of the 2 study interview guides (provider and patient). We identified themes that emerged across all interviews that were associated with the implementation of video-based care in interdisciplinary PC settings, using directed-content rapid analysis of the interview transcripts. The analysis was guided by 5 a priori NASSS domains: (1) patient condition or characteristic, (2) technology, (3) adopter system, (4) health care organization, and (5) adaptation over time. RESULTS: The study findings include the following common themes and factors, organized by the 5 NASSS domains: (1) patient condition or characteristic-visit type or purpose (eg, follow-up visits that do not require physical examination), health condition (eg, homebound or semihomebound patients), and sociodemographic characteristic (eg, patients who have a long commute time); (2) technology-key features (eg, access to video-enabled devices), knowledge (eg, how to use videoconferencing software), and technical support for patients and providers; (3) adopter system-changes in staff roles and clinical practice (eg, coordination of video-based care), provider and patient preference or comfort to use video-based care, and caregiver's role (eg, participation of caregivers during video visits); (4) health care organization-leadership support and access to resources, scheduling for video visits (eg, schedule or block off digital half or full days), and training and telehealth champions (eg, hands-on or on-site training for staff, patients, or caregivers); (5) adaptation over time-capacity to improve all aspects of video-based care and provide continued access to resources (eg, effective communication about updates). CONCLUSIONS: This study identified key factors associated with the implementation of video-based services in interdisciplinary PC settings at the VHA from the perspectives of PC team members and patients. The identified multifaceted factors may inform recommendations on how to sustain and improve the provision of video-based care in VHA PC settings as well as non-VHA patient-centered medical homes.

Aligning medication reconciliation and secure messaging: qualitative study of primary care providers' perspectives.

BACKGROUND: Virtual (non-face-to-face) medication reconciliation strategies may reduce adverse drug events (ADEs) among vulnerable ambulatory patients. Understanding provider perspectives on the use of technology for medication reconciliation can inform the design of patient-centered solutions to improve ambulatory medication safety. OBJECTIVE: The aim of the study was to describe primary care providers' experiences of ambulatory medication reconciliation and secure messaging (secure email between patients and providers), and to elicit perceptions of a virtual medication reconciliation system using secure messaging (SM). METHODS: This was a qualitative study using semi-structured interviews. From January 2012 to May 2012, we conducted structured observations of primary care clinical activities and interviewed 15 primary care providers within a Veterans Affairs Healthcare System in Boston, Massachusetts (USA). We carried out content analysis informed by the grounded theory. RESULTS: Of the 15 participating providers, 12 were female and 11 saw 10 or fewer patients in a typical workday. Experiences and perceptions elicited from providers during in-depth interviews were organized into 12 overarching themes: 4 themes for experiences with medication reconciliation, 3 themes for perceptions on how to improve ambulatory medication reconciliation, and 5 themes for experiences with SM. Providers generally recognized medication reconciliation as a valuable component of primary care delivery and all agreed that medication reconciliation following hospital discharge is a key priority. Most providers favored delegating the responsibility for medication reconciliation to another member of the staff, such as a nurse or a pharmacist. The 4 themes related to ambulatory medication reconciliation were (1) the approach to complex patients, (2) the effectiveness of medication reconciliation in preventing ADEs, (3) challenges to completing medication reconciliation, and (4) medication reconciliation during transitions of care. Specifically, providers emphasized the importance of medication reconciliation at the post-hospital visit. Providers indicated that assistance from a caregiver (eg, a family member) for medication reconciliation was helpful for complex or elderly patients and that patients' social or cognitive factors often made medication reconciliation challenging. Regarding providers' use of SM, about half reported using SM frequently, but all felt that it improved their clinical workflow and nearly all providers were enthusiastic about a virtual medication reconciliation system, such as one using SM. All providers thought that such a system could reduce ADEs. CONCLUSIONS: Although providers recognize the importance and value of ambulatory medication reconciliation, various factors make it difficult to execute this task effectively, particularly among complex or elderly patients and patients with complicated social circumstances. Many providers favor enlisting the support of pharmacists or nurses to perform medication reconciliation in the outpatient setting. In general, providers are enthusiastic about the prospect of using secure messaging for medication reconciliation, particularly during transitions of care, and believe a system of virtual medication reconciliation could reduce ADEs.

Rates of Primary Care and Integrated Mental Health Telemedicine Visits Between Rural and Urban Veterans Affairs Beneficiaries Before and After the Onset of the COVID-19 Pandemic.

Importance: Telemedicine can increase access to care, but uptake has been low among people living in rural areas. The Veterans Health Administration initially encouraged telemedicine uptake in rural areas, but telemedicine expansion efforts have broadened since the COVID-19 pandemic. Objective: To examine changes over time in rural-urban differences in telemedicine use for primary care and for mental health integration services among Veterans Affairs (VA) beneficiaries. Design, Setting, and Participants: This cohort study examined 63.5 million primary care and 3.6 million mental health integration visits across 138 VA health care systems nationally from March 16, 2019, to December 15, 2021. Statistical analysis took place from December 2021 to January 2023. Exposures: Health care systems with most clinic locations designated as rural. Main Outcomes and Measures: For every system, monthly visit counts for primary care and mental health integration specialties were aggregated from 12 months before to 21 months after pandemic onset. Visits were categorized as in person or telemedicine, including video. A difference-in-difference approach was used to examine associations in visit modality by health care system rurality and pandemic onset. Regression models also adjusted for health care system size as well as relevant patient characteristics (eg, demographic characteristics, comorbidities, broadband internet access, and tablet access). Results: The study included 63 541 577 primary care visits (6 313 349 unique patients) and 3 621 653 mental health integration visits (972 578 unique patients) (6 329 124 unique patients among the cohort; mean [SD] age, 61.4 [17.1] years; 5 730 747 men [90.5%]; 1 091 241 non-Hispanic Black patients [17.2%]; and 4 198 777 non-Hispanic White patients [66.3%]). In fully adjusted models for primary care services before the pandemic, rural VA health care systems had higher proportions of telemedicine use than urban ones (34% [95% CI, 30%-38%] vs 29% [95% CI, 27%-32%]) but lower proportions of telemedicine use than urban health care systems after pandemic onset (55% [95% CI, 50%-59%] vs 60% [95% CI, 58%-62%]), signifying a 36% reduction in the odds of telemedicine use (odds ratio [OR], 0.64; 95% CI, 0.54-0.76). The rural-urban telemedicine gap was even larger for mental health integration (OR, 0.49; 95% CI, 0.35-0.67) than for primary care services. Few video visits occurred across rural and urban health care systems (unadjusted percentages: before the pandemic, 2% vs 1%; after the pandemic, 4% vs 8%). Nonetheless, there were rural-urban divides for video visits in both primary care (OR, 0.28; 95% CI, 0.19-0.40) and mental health integration services (OR, 0.34; 95% CI, 0.21-0.56). Conclusions and Relevance: This study suggests that, despite initial telemedicine gains at rural VA health care sites, the pandemic was associated with an increase in the rural-urban telemedicine divide across the VA health care system. To ensure equitable access to care, the VA health care system's coordinated telemedicine response may benefit from addressing rural disparities in structural capacity (eg, internet bandwidth) and from tailoring technology to encourage adoption among rural users.

Primary Care Team Perspectives on the Suitability of Telehealth Modality (Phone vs Video) at the Veterans Health Administration.

INTRODUCTION: Telehealth has the potential to improve access and timeliness of care, enabling primary care teams to deliver hybrid (virtual/in-person) services that will likely extend beyond the COVID-19 pandemic. To optimize its use and sustainability, it is imperative to understand how primary care teams perceive the suitability of telehealth services, including appropriate choice of mode (telephone or video). However, there is limited research on providers' decision-making processes surrounding telehealth use in primary care, including whether to use telephone or video, which this VA-focused study addresses. We examined how primary care (PC) team members determine whether to use telehealth and the mode of delivery, in the care of patients. METHODS: Qualitative case study that included 15 semi-structured interviews with employees who provided or supported telehealth care at primary care clinics at the Veterans Health Administration. We used a team-based rapid analysis approach to identify experiences using telehealth soon after COVID-19's emergence, consisting of the creation of structured summaries of each transcribed interview. The lead author then identified and compiled themes and sub-themes related to the suitability of telehealth in primary care, as well as associated quotes from transcripts. Resulting themes and quotes were reviewed and validated by 2 members of the project team. RESULTS: Primary care team members considered several factors when assessing both the suitability of telehealth for appointments, and mode of use. They were largely guided by patient-related factors including patient preferences, specific health issues, and access to technology. Additional considerations centered on team members' personal preferences and factors that supported the wellbeing of the team, such as the flexibility to work from home (work-life balance) and protection from infection. Generally, participants viewed the option of both telephone and video telehealth modalities as useful tools in the care of patients although a few respondents emphasized its inferiority to in-person care. CONCLUSIONS: Determining the suitability of telehealth services, including appropriate choice of mode is complex. Its suitability is tied to a variety of factors related to multilevel resources, preferences, and timing. When appropriate, telehealth should be considered a useful tool in the care of patients and for employee well-being.

Variation in initial and continued use of primary, mental health, and specialty video care among Veterans.

OBJECTIVE: To identify which Veteran populations are routinely accessing video-based care. DATA SOURCES AND STUDY SETTING: National, secondary administrative data from electronic health records at the Veterans Health Administration (VHA), 2019-2021. STUDY DESIGN: This retrospective cohort analysis identified patient characteristics associated with the odds of using any video care; and then, among those with a previous video visit, the annual rate of video care utilization. Video care use was reported overall and stratified into care type (e.g., primary, mental health, and specialty video care) between March 10, 2020 and February 28, 2021. DATA COLLECTION: Veterans active in VA health care (>1 outpatient visit between March 11, 2019 and March 10, 2020) were included in this study. PRINCIPAL FINDINGS: Among 5,389,129 Veterans in this evaluation, approximately 27.4% of Veterans had at least one video visit. We found differences in video care utilization by type of video care: 14.7% of Veterans had at least one primary care video visit, 10.6% a mental health video visit, and 5.9% a specialty care video visit. Veterans with a history of housing instability had a higher overall rate of video care driven by their higher usage of video for mental health care compared with Veterans in stable housing. American Indian/Alaska Native Veterans had reduced odds of video visits, yet similar rates of video care when compared to White Veterans. Low-income Veterans had lower odds of using primary video care yet slightly elevated rates of primary video care among those with at least one video visit when compared to Veterans enrolled at VA without special considerations. CONCLUSIONS: Variation in video care utilization patterns by type of care identified Veteran populations that might require greater resources and support to initiate and sustain video care use. Our data support service specific outreach to homeless and American Indian/Alaska Native Veterans.

Crossing the digital divide: a veteran affairs program to distribute video-enabled devices to patients in a supportive housing program.

Objective: Evaluate an initiative to distribute video-enabled tablets and cell phones to individuals enrolled in Veterans Health Affairs supportive housing program during the COVID-19 pandemic. Materials and Methods: In September 2020, individuals in the Veteran Health Affairs (VA) Housing and Urban Development-VA Supportive Housing (HUD-VASH) program were offered either a video-enabled tablet or cellphone to support their communication and health care engagement needs. We examined sociodemographic and clinical characteristics of device recipients, and compared engagement in in-person, telephone, and video-based visits (categorized as primary care, specialty care, rehabilitation, HUD-VASH, mental health care, and other) for 6 months prior to (March 1, 2020-August 31, 2020) and following (September 1, 2020-July 30, 2021) device receipt. Results: In total, 5127 Veterans received either a tablet (n = 4454) or a cellphone (n = 673). Compared to the 6 months prior to device receipt, in the 6 months following receipt, in-person and video engagement increased by an average of 1.4 visits (8%) and 3.4 visits (125%), respectively, while telephone engagement decreased (-5.2 visits; -27%). Both tablet and cellphone recipients had increased in-person visits (+1.3 visits [8%] and +2.1 visits [13%], respectively); while tablet users had a substantially larger increase in video-based engagement (+3.2 visits [+110%] vs. +0.9 [+64%]). Similar trends were noted across all assessed types of care. Discussion: Providing video-enabled devices to Veterans in a supportive housing program may facilitate engagement in health care. Conclusions and Relevance: VA's device distribution program offers a model for expanding access to health-related technology and telemedicine to individuals in supportive housing programs.

Factors influencing uptake of telemental health via videoconferencing at high and low adoption sites within the Department of Veterans Affairs during COVID-19: a qualitative study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic dramatically increased the use of telemental health via videoconferencing (TMH-V). While TMH-V has been found to be effective and satisfactory to both patients and providers, little is known regarding factors that influence site-level uptake. We examined facilitators and barriers to TMH-V uptake at higher and lower adoption sites within the US Department of Veterans Affairs (VA). METHODS: We conducted twenty-four semi-structured qualitative interviews at four northeastern VA medical centers (two with higher TMH-V adoption and two with lower adoption). Six interviews were conducted per site (one member of mental health leadership, one facility telehealth coordinator/technician, and four mental health providers per site). We performed directed content analysis, guided by the Consolidated Framework for Implementation Research (CFIR), followed by a matrix rating process to rank the degree of influence of each of the 19 included CFIR constructs at the four sites. Positive overall influences, negative overall influences, and differentiators were then identified based on patterns in ratings across sites. RESULTS: Five CFIR constructs had positive overall influences across sites: Relative advantage, Patient needs and resources, Relative priority, Knowledge and beliefs, and Self-efficacy. Complexity had a negative overall influence across sites. Four constructs significantly differentiated between higher and lower adoption sites with regards to TMH-V use: Quality, Compatibility, Leadership engagement, and Champions. CONCLUSIONS: Several positive overall influences on TMH-V uptake were identified across sites; respondents acknowledged multiple advantages of TMH-V (e.g., convenience), and providers' attitudes towards TMH-V improved as they gained experience. In contrast, complexity was a negative overall influence; TMH-V platforms and processes must be simple and user friendly to promote use. The emergence of Quality, Leadership engagement, and Champions as differentiators speaks to the importance of educating frontline staff and leadership at lower adoption sites about the evidence base demonstrating that TMH-V is high-quality care. Compatibility also emerged as a differentiator; if TMH-V is not easily integrated into provider workflows, uptake will falter. Future work should draw from these findings to develop implementation strategies aiming to increase TMH-V uptake at lower adoption sites, thereby increasing access to high-quality mental health care.

Examining telehealth use among primary care patients, providers, and clinics during the COVID-19 pandemic.

BACKGROUND: At the onset of COVID-19, there was a rapid expansion of telehealth (video/telephone) visits to maintain delivery of primary care (PC) services at the Veterans Health Administration (VA). This study examines patient, provider, and site-level characteristics of any virtual and video-based care in PC. METHODS: Interrupted time series (ITS) design was conducted using VA administrative/clinical, electronic healthcare data, 12-months before and 12-months after COVID-19 onset (set at March 2020) at the VA Greater Los Angeles Healthcare System (GLA), between 2019 and 2021. Patients with at least one visit to a VA PC clinic at GLA (n = 547,730 visits) were included in the analysis. The two main outcomes for this study were 1) any telehealth (versus in-person), as well as 2) video-based care (versus telephone). For the ITS analysis, segmented logistic regression on repeated monthly observations of any telehealth and video-based care was used. RESULTS: Percent telehealth and video use increased from 13.9 to 63.1%, and 0.3 to 11.3%, respectively, before to after COVID-19 onset. According to adjusted percentages, GLA community-based clinics (37.7%, versus 29.8% in hospital-based clinics, p < .001), social workers/pharmacists/dietitians (53.7%, versus 34.0% for PC clinicians, p < .001), and minority groups, non-Hispanic African Americans (36.3%) and Hispanics (34.4%, versus 35.3% for Whites, p < .001) were more likely to use telephone than video. Conversely, mental health providers (43.3%) compared to PC clinicians (15.3%), and women (for all age groups, except 75+) compared to men, were more likely to use video than telephone (all p's < .001). CONCLUSIONS: Since telehealth care provision is likely to continue after COVID-19, additional research is needed to identify which PC outpatient services are better suited for telephone (e.g., case management) versus video-based care (e.g., integrated mental health visits). Additionally, it is important to understand how all clinics can systematically increase access to both telephone- and video-based PC services, while ensuring equitable care for all patient populations.