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.

Measuring Patient-Reported Use and Outcomes From Complementary and Integrative Health Therapies: Development of the Complementary and Integrative Health Therapy Patient Experience Survey.

Background: Assessing the use and effectiveness of complementary and integrative health (CIH) therapies via survey can be complicated given CIH therapies are used in various locations and formats, the dosing required to have an effect is unclear, the potential health and well-being outcomes are many, and describing CIH therapies can be challenging. Few surveys assessing CIH therapy use and effectiveness exist, and none sufficiently reflect these complexities. Objective: In a large-scale Veterans Health Administration (VA) quality improvement effort, we developed the "Complementary and Integrative Health Therapy Patient Experience Survey", a longitudinal, electronic patient self-administered survey to comprehensively assess CIH therapy use and outcomes. Methods: We obtained guidance from the literature, subject matter experts, and Veteran patients who used CIH therapies in designing the survey. As a validity check, we completed cognitive testing and interviews with those patients. We conducted the survey (March 2021-April 2023), inviting 15,608 Veterans with chronic musculoskeletal pain with a recent CIH appointment or referral identified in VA electronic medical records (EMR) to participate. As a second validity check, we compared VA EMR data and patient self-reports of CIH therapy utilization a month after survey initiation and again at survey conclusion. Results: The 64-item, electronic survey assesses CIH dosing (amount and timing), delivery format and location, provider location, and payor. It also assesses 7 patient-reported outcomes (pain, global mental health, global physical health, depression, quality of life, stress, and meaning/purpose in life), and 3 potential mediators (perceived health competency, healthcare engagement, and self-efficacy for managing diseases). The survey took 17 minutes on average to complete and had a baseline response rate of 45.3%. We found high degrees of concordance between self-reported and EMR data for all therapies except meditation. Conclusions: Validly assessing patient-reported CIH therapy use and outcomes is complex, but possible.

Predictors of Acute Kidney Injury (AKI) among COVID-19 Patients at the US Department of Veterans Affairs: The Important Role of COVID-19 Vaccinations.

BACKGROUND: There are knowledge gaps about factors associated with acute kidney injury (AKI) among COVID-19 patients. To examine AKI predictors among COVID-19 patients, a retrospective longitudinal cohort study was conducted between January 2020 and December 2022. Logistic regression models were used to examine predictors of AKI, and survival analysis was performed to examine mortality in COVID-19 patients. RESULTS: A total of 742,799 veterans diagnosed with COVID-19 were included and 95,573 were hospitalized within 60 days following COVID-19 diagnosis. A total of 45,754 developed AKI and 28,573 AKI patients were hospitalized. Use of vasopressors (OR = 14.73; 95% CL 13.96-15.53), history of AKI (OR = 2.22; CL 2.15-2.29), male gender (OR = 1.90; CL 1.75-2.05), Black race (OR = 1.62; CL 1.57-1.65), and age 65+ (OR = 1.57; CL 1.50-1.63) were associated with AKI. Patients who were vaccinated twice and boosted were least likely to develop AKI (OR = 0.51; CL 0.49-0.53) compared to unvaccinated COVID-19 patients. Patients receiving two doses (OR = 0.77; CL = 0.72-0.81), or a single dose (OR = 0.88; CL = 0.81-0.95) were also less likely to develop AKI compared to the unvaccinated. AKI patients exhibited four times higher mortality compared to those without AKI (HR = 4.35; CL 4.23-4.50). Vaccinated and boosted patients had the lowest mortality risk compared to the unvaccinated (HR = 0.30; CL 0.28-0.31). CONCLUSION: Use of vasopressors, being unvaccinated, older age, male gender, and Black race were associated with post COVID-19 AKI. Whether COVID-19 vaccination, including boosters, decreases the risk of developing AKI warrants additional studies.

Characteristics of Veterans Experiencing Homelessness using Telehealth for Primary Care Before and After COVID-19 Pandemic Onset.

BACKGROUND: The COVID-19 pandemic expanded telehealth use across healthcare systems, including the Veterans Health Administration (VA). Little is known about how large-scale telehealth rollout affected access to primary care for patients experiencing homelessness. OBJECTIVE: To examine the extent to which homeless-experienced veterans used telehealth services in primary care and to characterize users before and after the onset of the COVID-19 pandemic. DESIGN: Retrospective cohort study, 3/16/2019-3/15/2022. PARTICIPANTS: 394,731 veterans with homelessness diagnoses nationally using 4,068,109 primary care visits. MAIN MEASURES: The outcomes were use of 1 + telehealth visits (video, phone, secure messaging) for primary care during each year. Through multivariable regression models, we examined associations between telehealth use, patient characteristics (e.g., age, sex, race-ethnicity, comorbidity), and VA homeless services use (e.g., homeless-tailored primary care (HPACT), permanent supportive housing). KEY RESULTS: Compared to pre-pandemic, telehealth in primary care among homeless-experienced veterans increased substantially 2 years post-pandemic (video: 1.37% versus 20.56%, phone: 60.74% versus 76.58%). Secure messaging was low over time (1.57-2.63%). In adjusted models, video users were more likely to be young (65 + years: OR = 0.43, CI: 0.42-0.44), women (OR = 1.74, CI: 1.70-1.78), Black (OR = 1.14, CI: 1.12-1.16), Hispanic (OR = 1.34, CI: 1.30-1.38), and with more comorbidities (2 + on the Charlson Comorbidity Index; OR = 1.16, CI: 1.14-1.19), compared to video non-users. HPACT patients were less likely to use video (OR = 0.68, CI: 0.66-0.71) than other primary care patients. This was not observed among users of other VA homeless services. CONCLUSIONS: Despite decreased access to health information technology and low pre-pandemic telehealth use, veterans experiencing homelessness still sustained high use of telehealth in primary care post-pandemic. Women and racial-ethnic minorities had higher video uptake proportionately, suggesting that telehealth may address access disparities among these homeless-experienced patient groups. Identifying and targeting organizational characteristics (e.g., HPACT users) that predict telehealth use for improvement may be key to increasing adoption among VA primary care patients experiencing homelessness.

Disparities in Video-Based Primary Care Use Among Veterans with Cardiovascular Disease.

BACKGROUND: Cardiovascular disease (CVD) is prevalent among Veterans, and video care enhances access to CVD care. However, it is unknown which patients with CVD conditions receive video care in primary care clinics, where a large proportion of CVD services is delivered. OBJECTIVE: Characterize use of VA video primary care for Veterans with two common CVDs, heart failure and hypertension. DESIGN: Retrospective cohort study. PATIENTS: Veterans seen in VA primary care with diagnoses of heart failure and/or hypertension in the year prior to the COVID-19 pandemic and for the first two pandemic-years. MAIN MEASURES: The primary outcome was use of any video-based primary care visits. Using multilevel regressions, we examined the association between video care use and patient sociodemographic and clinical characteristics, controlling for time and adjusting for patient- and site-level clustering. KEY RESULTS: Of 3.8M Veterans with 51.9M primary care visits, 456,901 Veterans had heart failure and hypertension, 50,753 had heart failure only, and 3,300,166 had hypertension only. Veterans with heart failure and hypertension had an average age of 71.6 years. 2.9% were female, and 34.8% lived in rural settings. Patients who were male, aged 75 or older, or rural-dwelling had lower odds of using video care than female patients, 18-44-year-olds, and urban-dwellers, respectively (male patients' adjusted odds ratio [AOR] 0.73, 95% confidence interval [CI] 0.72-0.74; 75 years or older, AOR 0.38, 95% CI 0.37-0.38; rural-dwellers, AOR 0.71, 95% CI 0.70-0.71). Veterans with heart failure had higher odds of video care use than those with hypertension only (AOR 1.05, 95% CI 1.04-1.06). CONCLUSIONS: Given lower odds of video primary care use among some patient groups, continued expansion of video care could make CVD services increasingly inequitable. These insights can inform equitable triage of patients, for example by identifying patients who may benefit from additional support to use virtual care.

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.

Impact of COVID-19 pandemic on nonpharmacological pain management trials in military and veteran healthcare settings: an evaluation informed by implementation science.

The coronavirus disease (COVID-19) pandemic disrupted healthcare and clinical research, including a suite of 11 pragmatic clinical trials (PCTs), across clinics within the Department of Veterans Affairs (VA) and the Department of Defense (DOD). These PCTs were designed to evaluate an array of nonpharmacological treatments and models of care for treatment of patients with pain and co-occurring conditions. The aims of the study are to (a) describe modifications to PCTs and interventions to address the evolving pandemic and (b) describe the application of implementation science methods for evaluation of those PCT modifications. The project used a two-phase, sequential, mixed-methods design. In Phase I, we captured PCT disruptions and modifications via a Research Electronic Data Capture questionnaire, using Periodic Reflections methods as a guide. In Phase II, we utilized the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) taxonomy to develop a focus group interview guide and checklist that would provide more in-depth data than Phase I. Data were analyzed using directed content analysis. Phase I revealed that all PCTs made between two and six trial modifications. Phase II, FRAME-guided analyses showed that the key goals for modifying interventions were increasing treatment feasibility and decreasing patient exposure to COVID-19, while preserving intervention core elements. Context (format) modifications led eight PCTs to modify parts of the interventions for virtual delivery. Content modifications added elements to enhance patient safety; tailored interventions for virtual delivery (counseling, exercise, mindfulness); and modified interventions involving manual therapies. Implementation science methods identified near-real-time disruptions and modifications to PCTs focused on pain management in veteran and military healthcare settings.

Active-duty personnel and veterans often report pain and seek treatment in military and veteran healthcare settings. Nondrug treatments, such as self-care, counseling, exercise, and manual therapy, are recommended for most patients with chronic pain. The COVID-19 pandemic has affected clinical trials of these nondrug treatments in military and veteran populations. In this study, we explored how 11 research teams adapted study trials on pain to address COVID-19. Team members completed online questions, brief checklists, and a one-time focus group about how they modified their trials. Each of the 11 trials made 2 to 6 changes to their studies. Most paused or delayed recruitment efforts. Many shifted parts of the study to a virtual format. Goals for adapting treatments included improved feasibility and decreased patient exposure to COVID-19. Context or format changes increased virtual delivery of study treatments. Content changes focused on patient safety, tailoring treatments for virtual delivery, and offering varied manual therapies. Provider concerns about technology and patient willingness to seek in-person care during the pandemic also were factors driving changes. These findings may support the increased use of virtual care for pain management in military and veteran health settings.

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.

Effects of Virtual Care and Same-Day Access to Integrated Care on Specialty Mental Health Engagement in the Veterans Health Administration.

BACKGROUND: In the Veterans Health Administration (VA), Primary Care-Mental Health Integration (PC-MHI) clinics offer mental health services embedded in primary care, a strategy shown to reduce overall specialty mental health clinic burden while facilitating prompt referrals when indicated. Among newly initiated patients, same-day access to PC-MHI from primary care increases subsequent specialty mental health engagement. However, the impact of virtual care on the association between same-day access to PC-MHI and subsequent mental health engagement remains unclear. OBJECTIVE: To examine the effects of same-day access to PC-MHI and virtual care use on specialty mental health engagement. METHODS: We used administrative data from 3066 veterans who initiated mental health care at a large, California VA PC-MHI clinic during 3/1/2018 to 2/28/2022 and had no previous mental health visits for at least 2 years prior to the index appointment. We conducted Poisson regression analyses to examine the effects of same-day access to PC-MHI, virtual access to PC-MHI and their combined effect on subsequent specialty mental health engagement. RESULTS: Same-day access to PC-MHI from primary care was positively associated with specialty mental health engagement (IRR = 1.19; 95% CI 1.14-1.24). Virtual access to PC-MHI was negatively associated with specialty mental health engagement (IRR = 0.83; 95% CI 0.79-0.87). The positive effect of same-day access on specialty mental health engagement was smaller among patients who initiated PC-MHI in a virtual visit (IRR = 1.07) compared to in-person visits (IRR = 1.29; 95% CI 1.22-1.36). CONCLUSIONS: Although same-day access to PC-MHI increased overall specialty mental health engagement, the magnitude of this effect varied between in-person and virtual modalities. More research is needed to understand mechanisms of the association between virtual care use, same-day access to PC-MHI, and specialty mental health engagement.

Telehealth Complementary and Integrative Health Therapies During COVID-19 at the U.S. Department of Veterans Affairs.

Background: Complementary and integrative health (CIH) therapies, such as in-person acupuncture, chiropractic care, and meditation, are evidence-based nonpharmaceutical treatment options for pain. During COVID-19, the Veterans Health Administration (VA) delivered several CIH therapies virtually. This study explores veterans' utilization, advantages/disadvantages, and delivery issues of yoga, Tai Chi, meditation/mindfulness (self-care), and massage, chiropractic, and acupuncture (practitioner-delivered care), using telephone/video at 18 VA sites during COVID-19. Methods: Use of virtual care was examined quantitatively with VA administrative data for six CIH therapies before and after COVID-19 onset (2019-2021). Advantages/disadvantages and health care delivery issues of these CIH therapies through virtual care were examined qualitatively using interview data (2020-2021). Results: Overall, televisits represented a substantial portion of all CIH self-care therapies delivered by VA in 2020 (53.7%) and 2021 (82.1%), as sites developed virtual group classes using VA secure online video platforms in response to COVID-19. In contrast, a small proportion of all encounters with acupuncturists, chiropractors, and massage therapists was telephone/video encounters in 2020 (17.3%) and in 2021 (5.4%). These were predominantly one-on-one care in the form of education, follow-ups, home exercises, assessments/evaluations, or acupressure. Delivery issues included technical difficulties, lack of access to needed technology, difficulty tracking virtual visits, and capacity restrictions. Advantages included increased access to self-care, increased patient receptivity to engaging in self-care, and flexibility in staffing online group classes. Disadvantages included patient preference, patient safety, and strain on staffing. Conclusion: Despite delivery issues or disadvantages of tele-CIH self-care, veterans' use of teleself-care CIH therapies grew substantially during the COVID-19 pandemic.

Student veterans in higher education: The critical role of veterans resource centers.

OBJECTIVE: To examine how veterans resource centers (VRCs) and corresponding services influence student veteran transitions by applying the Schlossberg Transition Model. PARTICIPANTS: 12 student support staff and 6 junior/senior undergraduate student veterans at a four-year public university in California. METHODS: In-depth semi-structured, one-on-one interviews were conducted with diverse group of university staff and student veterans. Thematic analyses were conducted to identify salient factors that help promote successful transition to college life. RESULTS: Overarching theme was the significance of the university's veterans resource center (VRC), which is a designated space that facilitates connectedness and student engagement; fosters collaborations across student support services via liaisons to increase access to vital services/resources on/off campus, provides peer-to-peer mentorship; and includes staff, who understand military culture. CONCLUSIONS: Higher education should expand supporting student veterans by having a VRC to help them successfully transition to college life; this would ultimately improve retention and graduation rates.

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.

Dialysis Care for US Military Veterans in Puerto Rico during the 2017 Atlantic Hurricane Season.

OBJECTIVES: Patients with end stage kidney disease (ESKD) are at higher risk for increased mortality and morbidity due to disaster-related disruptions to care. We examine effects of Hurricanes Irma and Maria on access to dialysis care for US Department of Veterans Affairs (VA) ESKD patients in Puerto Rico. METHODS: A retrospective, longitudinal cohort study was conducted among VA patients with at least 1 dialysis-related encounter between September 6, 2016, and September 5, 2018. The annual number of dialysis encounters, visits to an emergency department (ED), and the number of deaths pre- and post-hurricanes were compared. A random effects logistic regression model for correlated binary outcomes was fitted for predictors of mortality. Chi-square tests were for differences between pre- and post-hurricane visits. RESULTS: The number of ED visits increased in post-hurricane period (1172 [5.7%] to 1195 [6.6%]; P < 0.001). ESKD-related ED visits increased from 200 (0.9%) to 227 (1.3%) (P < 0.05). Increase in mortality was associated with age (OR = 1.66; CI: 1.23-2.17), heart failure (OR = 2.07; CI: 1.26-3.40), chronic pulmonary disease (OR = 3.26; CI: 1.28-8.28), and sepsis (OR = 3.16; CI: 1.89-5.29). CONCLUSIONS: There was an increase in dialysis services at the San Juan VA Medical Center post-Irma/Maria, and access to dialysis care at the non-VA clinics was limited. The role of VA dialysis centers in providing care during disasters warrants further investigation.

Association Between Virtual Care Use and Same-Day Primary Care Access in VA Primary Care-Mental Health Integration.

INTRODUCTION: Same-day referrals from primary care to mental health increase subsequent mental health treatment engagement. VA Primary Care-Mental Health Integration (PC-MHI) clinics offer integrated mental health services embedded in primary care clinics, providing a key entry point to mental health care. Although telehealth use expanded rapidly after the onset of COVID-19, the impact of telehealth on same-day primary care access among new PC-MHI mental health patients is unknown. To address this knowledge gap, we examined associations between telehealth use and same-day primary care access in VA PC-MHI. METHODS: We examined electronic health record data to identify same-day primary care appointments among PC-MHI patients who initiated care during 3/1/2018 to 10/29/2021. We used logistic regression analyses to evaluate the effect of telehealth on same-day primary care access. Time, demographic characteristics, mental health diagnoses (PTSD and depression), and substance use disorder diagnosis were evaluated as covariates. RESULTS: New PC-MHI patients who were seen via telehealth were less likely to receive same-day primary care access than patients seen in person (OR: 0.54; 95% CI: 0.41-0.71; P < .001). CONCLUSIONS: Despite the potential advantages of using telehealth to increase access, VA patients with an initial PC-MHI visit via telehealth were less likely than patients seen in person to be referred from primary care. Telehealth may adversely affect primary care referrals to mental health services, an outcome that could ultimately reduce specialty mental health care continuity. There is an urgent need to identify strategies to facilitate PC-MHI care coordination in the telehealth context.

Disparities in Excess, All-Cause Mortality among Black, Hispanic, and White Veterans at the U.S. Department of Veterans Affairs during the COVID-19 Pandemic.

BACKGROUND: From 2019 to 2020, all-cause mortality in the U.S. increased, with most of the rise attributed to COVID-19. No studies have examined the racial disparities in all-cause mortality among U.S. veterans receiving medical care (VA users) at the U.S. Department of Veterans Affairs (VA) during the pandemic. METHODS: In the present paper, we conduct a longitudinal study examining the differences in mortality among White, Black, and Hispanic veterans, aged 45 years and older, during the first, full year of the pandemic (March 2020-February 2021). We calculated the Standardized Mortality Rates (SMRs) per 100,000 VA users for each racial and ethnic group by age and gender. RESULTS: The highest percentage increase between the number of deaths occurred between pre- and post-pandemic years (March 2020-February 2021 vs. March 2019-February 2020). For Hispanics, the all-cause mortality increased by 34%, while for Blacks, it increased by 32%. At the same time, we observed that an 18% increase in all-cause mortality occurred among Whites. CONCLUSION: Blacks and Hispanics were disproportionately affected by the COVID-19 pandemic, leading both directly and indirectly to higher all-cause mortality among these groups compared to Whites. Disparities in the all-cause mortality rates varied over time and across groups. Additional research is needed to examine which factors may account for the observed changes over time. Understanding those factors will permit the development of strategies to mitigate these disparities.

Vaccinating Veterans for COVID-19 at the U.S. Department of Veterans Affairs.

INTRODUCTION: With the COVID-19 (most recent) Omicron variant surge across the U.S., more research is needed to better understand how vaccination and booster uptake can be increased. COVID-19 vaccinations have proven to help decrease the likelihood of becoming seriously ill, getting hospitalized, or dying. Studies examining patient characteristics of individuals who received COVID-19 vaccinations are limited. This study examines the patient characteristics of veterans who were vaccinated during the first 8 months (December 2020-July 2021) of the vaccination rollout at the U.S. Department of Veterans Affairs. METHODS: Using the U.S. Department of Veterans Affairs administrative and clinical data, bivariate and multivariate analyses were conducted to determine sociodemographic and health factors associated with the likelihood of receiving COVID-19 vaccination at the U.S. Department of Veterans Affairs. RESULTS: The analytic sample included 5,914,741 U.S. Department of Veterans Affairs users (49.7% vaccinated). Among the U.S. Department of Veterans Affairs medical facilities nationwide, COVID-19 vaccination rates (≥1 dose) varied from 33.9% to 73.7%. Veterans who were non-Hispanic American Indian/Alaskan natives, younger, living in rural areas, male, and unmarried; had U.S. Department of Veterans Affairs health insurance only; had fewer chronic conditions; did not receive the seasonal influenza vaccine; and were not living in community living centers or nursing homes were less likely to get vaccinated. CONCLUSIONS: Understanding which groups of veterans are less likely to be vaccinated allows the U.S. Department of Veterans Affairs to develop targeted interventions to improve uptake in these groups. These results can also guide non-U.S. Department of Veterans Affairs organizations to create evidence-based educational outreach programs that reduce vaccine hesitancy among veterans who do not use U.S. Department of Veterans Affairs.

Disaster Preparedness Training Needs of Healthcare Workers at the US Department of Veterans Affairs.

OBJECTIVES: Training healthcare workers in disaster preparedness has been shown to increase their willingness and ability to report to work during disasters. Little is known, however, about the relation between sociodemographic, household, and workforce characteristics and the desire for such training. Accordingly, this study aimed to assess healthcare workers' desire for additional workforce preparedness training, and the determinants that influence the need for such training, for three types of disasters (natural, pandemic, manmade). METHODS: The US Department of Veterans Affairs (VA) Preparedness Survey was a random, anonymous, Web-based questionnaire fielded nationwide (October-December 2018). Multivariate, logistic regression analyses were conducted. RESULTS: In total, 4026 VA employees, clinical and nonclinical, responded. A total of 61% of respondents wanted additional training for natural, 63% for pandemic, and 68% for manmade disasters. VA supervisors (natural: odds ratio [OR] 1.28, pandemic: OR 1.33, manmade: OR 1.25, P < 0.05) and clinicians (natural: OR 1.24, pandemic: OR 1.24, manmade: OR 1.24, P < 0.05) were more likely to report the need for additional training. Those who reported that they understood their role in disaster response were less likely to report the need for training (natural: OR 0.25, pandemic: OR 0.27, manmade: OR 0.28, P < 0.001), whereas those who perceived their role to be important during response (natural: OR 2.20, pandemic: OR 2.78, manmade: OR 3.13, P < 0.001), and those who reported not being prepared at home for major disasters (natural: OR 1.85, pandemic: OR 1.92, manmade: OR 1.94, P < 0.001), were more likely to indicate a need for training. CONCLUSIONS: Identifying which factors encourage participation in disaster preparedness training can help hospitals and other healthcare providers create targeted training and educational materials to better prepare all hospital staff for future disasters.

Using an Administrative and Clinical Database to Determine the Early Spread of COVID-19 at the US Department of Veterans Affairs during the Beginning of the 2019-2020 Flu Season: A Retrospective Longitudinal Study.

BACKGROUND: Previous studies examining the early spread of COVID-19 have used influenza-like illnesses (ILIs) to determine the early spread of COVID-19. We used COVID-19 case definition to identify COVID-like symptoms (CLS) independently of other influenza-like illnesses (ILIs). METHODS: Using data from Emergency Department (ED) visits at VA Medical Centers in CA, TX, and FL, we compared weekly rates of CLS, ILIs, and non-influenza ILIs encounters during five consecutive flu seasons (2015-2020) and estimated the risk of developing each illness during the first 23 weeks of the 2019-2020 season compared to previous seasons. RESULTS: Patients with CLS were significantly more likely to visit the ED during the first 23 weeks of the 2019-2020 compared to prior seasons, while ED visits for influenza and non-influenza ILIs did not differ substantially. Adjusted CLS risk was significantly lower for all seasons relative to the 2019-2020 season: RR15-16 = 0.72, 0.75, 0.72; RR16-17 = 0.81, 0.77, 0.79; RR17-18 = 0.80, 0.89, 0.83; RR18-19 = 0.82, 0.96, 0.81, in CA, TX, and FL, respectively. CONCLUSIONS: The observed increase in ED visits for CLS indicates the likely spread of COVID-19 in the US earlier than previously reported. VA data could potentially help identify emerging infectious diseases and supplement existing syndromic surveillance systems.

Expansion of telemedicine during COVID-19 at a VA specialty clinic.

BACKGROUND: COVID-19 rapidly accelerated the implementation of telemedicine in U.S. Department of Veterans Affairs (VA) specialty care clinics. This mixed-methods study was conducted at a VA medical center to understand the use of telemedicine, and the barriers and facilitators to its implementation, in cardiology outpatient clinics. METHODS: Quantitative analyses modeled monthly trends of telemedicine use over 24-months (March 2019-March 2021) with segmented logistic regression and adjusted for socio-demographic predictors of patient-level telemedicine use. Qualitative interviews were conducted (July-October 2020) with eight cardiology clinicians. RESULTS: At the onset of COVID-19, likelihood of telemedicine use was ∼12 times higher than it was pre-COVID-19 (p < 0.001). White (OR = 1.38, 95% CI:1.23-1.54), married (OR = 1.25, 95% CI:1.11-1.40), Veterans with other health insurance (OR = 1.19, 95% CI:1.06-1.35), were more likely to use telemedicine. Veterans with higher health risk factors were less likely (OR = 0.95, 95% CI:0.93-0.97). Facilitators to rapid expansion of telemedicine included prior telemedicine experience; provider trainings; and staff champions. In contrast, lack of technical support and scheduling grids for virtual visits and patient ability/preference served as barriers. CONCLUSIONS: Findings suggest that once mutable barriers were addressed, the medical center was able to expand its telemedicine efforts during COVID-19. Beyond the pandemic, a hybrid of virtual and face-to-face care might be feasible and likely beneficial for healthcare providers and patients in specialty care. IMPLICATIONS: The ability to rapidly transition from in-person to virtual visits can potentially assist with the continuity of care and management of chronic disease during infectious outbreaks and other major disasters that obstruct traditional care models.