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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., (© 2023. The Author(s).)

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., (Published by Oxford University Press on behalf of the Society of Behavioral Medicine 2023.)

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.

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.

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.

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., (© 2022. The Author(s).)

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., (Published by Elsevier Inc.)

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., (Published by Elsevier Inc.)

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.

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.

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.