Veterans Finding Community and a "Home" Within an Emergency Housing Environment.

In April 2020, the Department of Veterans Affairs responded to the COVID-19 pandemic and escalating unsheltered homelessness in Los Angeles by sanctioning a tent turned tiny shelter encampment at the West Los Angeles Veterans Affairs medical center. Initially, staff offered linkages to on-campus VA healthcare. However, as many Veterans living in the encampment struggled to avail themselves of these services, our "encampment medicine" team was launched to provide on-site care coordination and healthcare at the tiny shelters. This case study showcases the team's engagement with a Veteran experiencing homelessness struggling with opioid use disorder and depicts how this co-located, comprehensive care team allowed for trusting care relationships formed with, and empowerment of the Veterans living in the encampment. The piece highlights a healthcare model that engages with persons experiencing homelessness on their own terms while building trust and solidarity, focuses on the sense of community that formed in the tiny shelter encampment, and gives recommendations for how homeless services might adapt to use the strengths of this unique community.

Factors affecting the implementation of employee whole health in the veterans health administration: a qualitative evaluation.

BACKGROUND: There is increasing recognition of the need to focus on the health and well-being of healthcare employees given high rates of burnout and turnover. Employee wellness programs are effective at addressing these issues; however, participation in these programs is often a challenge and requires large scale organizational transformation. The Veterans Health Administration (VA) has begun to roll out their own employee wellness program-Employee Whole Health (EWH)-focused on the holistic needs of all employees. This evaluation's goal was to use the Lean Enterprise Transformation (LET) model for organizational transformation to identify key factors-facilitators and barriers-affecting the implementation of VA EWH. METHODS: This cross-sectional qualitative evaluation based on the action research model reflects on the organizational implementation of EWH. Semi-structured 60-minute phone interviews were conducted in February-April 2021 with 27 key informants (e.g., EWH coordinator, wellness/occupational health staff) knowledgeable about EWH implementation across 10 VA medical centers. Operational partner provided a list of potential participants, eligible because of their involvement in EWH implementation at their site. The interview guide was informed by the LET model. Interviews were recorded and professionally transcribed. Constant comparative review with a combination of a priori coding based on the model and emergent thematic analysis was used to identify themes from transcripts. Matrix analysis and rapid turnaround qualitative methods were used to identify cross-site factors to EWH implementation. RESULTS: Eight common factors in the conceptual model were found to facilitate and/or hinder EWH implementation efforts: [1] EWH initiatives, [2] multilevel leadership support, [3] alignment, [4] integration, [5] employee engagement, [6] communication, [7] staffing, and [8] culture. An emergent factor was [9] the impact of the COVID-19 pandemic on EWH implementation. CONCLUSIONS: As VA expands its EWH cultural transformation nationwide, evaluation findings can (a) enable existing programs to address known implementation barriers, and (b) inform new sites to capitalize on known facilitators, anticipate and address barriers, and leverage evaluation recommendations through concerted implementation at the organization, process, and employee levels to jump-start their EWH program implementation.

Excess Mortality Among Patients in the Veterans Affairs Health System Compared With the Overall US Population During the First Year of the COVID-19 Pandemic.

Importance: During the first year of the COVID-19 pandemic, there was a substantial increase in the rate of death in the United States. It is unclear whether those who had access to comprehensive medical care through the Department of Veterans Affairs (VA) health care system had different death rates compared with the overall US population. Objective: To quantify and compare the increase in death rates during the first year of the COVID-19 pandemic between individuals who received comprehensive medical care through the VA health care system and those in the general US population. Design, Setting, and Participants: This cohort study compared 10.9 million enrollees in the VA, including 6.8 million active users of VA health care (those with a visit in the last 2 years), with the general population of the US, with deaths occurring from January 1, 2014, to December 31, 2020. Statistical analysis was conducted from May 17, 2021, to March 15, 2023. Main Outcomes and Measures: Changes in rates of death from any cause during the COVID-19 pandemic in 2020 compared with previous years. Changes in all-cause death rates by quarter were stratified by age, sex, race and ethnicity, and region, based on individual-level data. Multilevel regression models were fit in a bayesian setting. Standardized rates were used for comparison between populations. Results: There were 10.9 million enrollees in the VA health care system and 6.8 million active users. The demographic characteristics of the VA populations were predominantly male (>85% in the VA health care system vs 49% in the general US population), older (mean [SD], 61.0 [18.2] years in the VA health care system vs 39.0 [23.1] years in the US population), and had a larger proportion of patients who were White (73% in the VA health care system vs 61% in the US population) or Black (17% in the VA health care system vs 13% in the US population). Increases in death rates were apparent across all of the adult age groups (≥25 years) in both the VA populations and the general US population. Across all of 2020, the relative increase in death rates compared with expected values was similar for VA enrollees (risk ratio [RR], 1.20 [95% CI, 1.14-1.29]), VA active users (RR, 1.19 [95% CI, 1.14-1.26]), and the general US population (RR, 1.20 [95% CI, 1.17-1.22]). Because the prepandemic standardized mortality rates were higher in the VA populations prior to the pandemic, the absolute rates of excess mortality were higher in the VA populations. Conclusions and Relevance: In this cohort study, a comparison of excess deaths between populations suggests that active users of the VA health system had similar relative increases in mortality compared with the general US population during the first 10 months of the COVID-19 pandemic.

The Impact of Temporary Housing Assistance Expenditures on Subcategories of Health Care Cost for U.S. Veterans Facing Housing Instability.

We sought to estimate the impact of temporary financial assistance (TFA) for housing-related expenses from the U.S. Department of Veterans Affairs on costs for a variety of health care services. We conducted a retrospective cohort study of Veterans who entered the Supportive Services for Veteran Families (SSVF) program between 10/2015 and 9/2018. We assessed the effect of TFA on health care costs using a multivariable difference-in-difference approach. Outcomes were direct medical costs of health care encounters (i.e., emergency department, outpatient mental health, inpatient mental health, outpatient substance use disorder treatment, and residential behavioral health) in the VA system. Temporary financial assistance was associated with a decrease in ED (-$11, p<.003), outpatient mental health (-$28, p<.001), outpatient substance use disorder treatment (-$25, p<.001), inpatient mental health (-$258, p<.001), and residential behavioral health (-$181, p<.001) costs per quarter for Veterans in the rapid re-housing component of SSVF. These results can inform policy debates regarding proper solutions to housing instability.

Opportunities to Enhance the Implementation of Veterans Affairs Video-Based Care: Qualitative Perspectives of Providers from Diverse Specialties.

BACKGROUND: Increasing the adoption of digital care tools, including video visits, is a long-term goal for the US Department of Veterans Affairs (VA). While previous work has highlighted patient-specific barriers to the use of video visits, few have examined how clinicians view such barriers and how they have overcome them during the rapid uptake of web-based care. OBJECTIVE: This study sought input from providers, given their role as critical participants in video visit implementation, to qualitatively describe successful strategies providers used to adapt their practices to a web-based care setting. METHODS: We conducted interviews with 28 VA providers (physicians and nurse practitioners) from 4 specialties that represent diverse clinical services: primary care (n=11), cardiology (n=7), palliative care (n=5), and spinal cord injury (n=5). All interviews were audio recorded and transcribed, and transcripts were reviewed and coded according to an iteratively created codebook. To identify themes, codes were grouped together into categories, and participant comments were reviewed for repetition and emphasis on specific points. Finally, themes were mapped to Expert Recommendations for Implementing Change (ERIC) strategies to identify evidence-based opportunities to support video visit uptake in the VA. RESULTS: Interviewees were mostly female (57%, 16/28), with an average age of 49 years and with 2-20 years of experience working in the VA across 16 unique VA facilities. Most providers (82%, 23/28) worked in urban facilities. Many interviewees (78%, 22/28) had some experience with video visits prior to the COVID-19 pandemic, though a majority (61%, 17/28) had conducted fewer than 50 video visits in the quarter prior to recruitment. We identified four primary themes related to how providers adapt their practices to a web-based care setting: (1) peer-based learning and support improved providers' perceived value of and confidence in video visits, (2) providers developed new and refined existing communication and clinical skills to optimize video visits, (3) providers saw opportunities to revisit and refine team roles to optimize the value of video visits for their care teams, and (4) implementing and sustaining web-based care requires institutional and organizational support. We identified several ERIC implementation strategies to support the use of video visits across the individual-, clinic-, and system-levels that correspond to these themes: (1) individual-level strategies include the development of educational materials and conducting education meetings, (2) clinic-level strategies include identifying champions and revising workflows and professional roles, and (3) system-level strategies include altering incentive structures, preparing implementation blueprints, developing and implementing tools for quality monitoring, and involving executive leadership to encourage adoption. CONCLUSIONS: This work highlights strategies to support video visits that align with established ERIC implementation constructs, which can be used by health care systems to improve video visit implementation.

VA's implementation of universal screening and evaluation for the suicide risk identification program in November 2020 -Implications for Veterans with prior mental health needs.

IMPORTANCE: United States Veterans are at higher risk for suicide than non-Veterans. Veterans in rural areas are at higher risk than their urban counterparts. The coronavirus pandemic intensified risk factors for suicide, especially in rural areas. OBJECTIVE: To examine associations between Veterans Health Administration's (VA's) universal suicide risk screening, implemented November 2020, and likelihood of Veterans being screened, and receiving follow-up evaluations, as well as post-screening suicidal behavior among patients who used VA mental health services in 2019. METHODS: VA's Suicide Risk Identification Strategy (Risk ID), implemented October 2018, is a national, standardized process for suicide risk screening and evaluation. In November 2020, VA expanded Risk ID, requiring annual universal suicide screening. As such, we are evaluating outcomes of interest before and after the start of the policy among Veterans who had ≥1 VA mental health care visit in 2019 (n = 1,654,180; rural n = 485,592, urban n = 1,168,588). Regression-adjusted outcomes were compared 6 months pre-universal screening and 6, 12 and 13 months post-universal screening implementation. MEASURES: Item-9 on the Patient Health Questionnaire (I-9, VA's historic suicide screener), Columbia- Suicide Severity Risk Scale (C-SSRS) Screener, VA's Comprehensive Suicide Risk Evaluation (CSRE), and Suicide Behavior and Overdose Report (SBOR). RESULTS: 12 months post-universal screening implementation, 1.3 million Veterans (80% of the study cohort) were screened or evaluated for suicide risk, with 91% the sub-cohort who had at least one mental health visit in the 12 months post-universal screening implementation period were screened or evaluated. At least 20% of the study cohort was screened outside of mental health care settings. Among Veterans with positive screens, 80% received follow-up CSREs. Covariate-adjusted models indicated that an additional 89,160 Veterans were screened per month via the C-SSRS and an additional 30,106 Veterans/month screened via either C-SSRS or I-9 post-universal screening implementation. Compared to their urban counterparts, 7,720 additional rural Veterans/month were screened via the C-SSRS and 9,226 additional rural Veterans/month were screened via either the C-SSRS or I-9. CONCLUSION: VA's universal screening requirement via VA's Risk ID program increased screening for suicide risk among Veterans with mental health care needs. A universal approach to screening may be particularly advantageous for rural Veterans, who are typically at higher risk for suicide but have fewer interactions with the health care system, particularly within specialty care settings, due to higher barriers to accessing care. Insights from this program offer valuable insights for health systems nationwide.

Assessment of Veterans Affairs Case Managers Using a Leadership Conceptual Framework.

PURPOSE/OBJECTIVES: Case management in Veterans Affairs (VA) depends on leadership skills such as effective communication, excellent resource management, self-governance, patient advocacy, and a distinctly professional attitude. VA registered nurses (RNs) and social workers (SWs) also provide case management services, a role and service, which is pivotal to veteran satisfaction and effective health care coordination.The leader-follower framework (LF2) was used to assess and compare the responses of RNs, SWs, and case managers (CMs) on the annual VA All Employee Survey (AES) to provide insight regarding VA case management performance, which has influenced veteran satisfaction. PRIMARY PRACTICE SETTING: VA CMs work in a variety of clinical settings, which, in recent years, includes the use of telehealth modalities because of COVID-19. VA CMs remain flexible working in environments where and when veterans require their services while promoting safe, effective, and equitable health care services. FINDINGS/CONCLUSIONS: RNs and SWs indicated greater agreement and satisfaction scores in 2019 compared with 2018 on questions related to the leadership element of character and questions regarding mutual respect between VA senior leaders and the respondents. In contrast, RNs and SWs indicated less agreement and satisfaction scores on questions related to the leadership elements of competence, context, communication, personal, interpersonal, team, organizational, and greater burnout in 2019 than in 2018. RN response scores in 2018 and 2019 were greater and burnout scores were less than SWs. Additionally, the one-way analysis of variance indicated no difference for RNs and SWs who were performing the duties of a CM. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: The responses of RNs indicated greater satisfaction and less burnout than SWs and were consistent whether RNs and SWs were in case management roles or not. These are important findings and concerning trends warranting further discussion and research.

Dispensing of Ivermectin From Veterans Administration Pharmacies During the COVID-19 Pandemic.

This cohort study compares changes in ivermectin dispensing during the COVID-19 pandemic between the Veterans Administration (VA) and retail pharmacy settings and examines the association of the VA national formulary restriction with ivermectin dispensing.

Enhancing Implementation of Measurement-Based Mental Health Care in Primary Care: A Mixed-Methods Study.

OBJECTIVE: The complex practice of measurement-based care (MBC) for mental health conditions has proven challenging to implement. This study aimed to evaluate an intensive strategy to implement MBC in U.S. Department of Veterans Affairs (VA) Primary Care Mental Health Integration clinics. METHODS: Ten paired sites were randomly assigned to receive national MBC resources alone or with an intensive implementation strategy (external facilitation plus quality improvement teams) between May 2018 and June 2020. The intervention occurred over 12-18 months; two site pairs completed participation before the COVID-19 pandemic. Using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework, the authors conducted qualitative interviews and used administrative data to evaluate the implementation, adoption, reach, and effectiveness of MBC. RESULTS: All sites improved during the study, suggesting the effectiveness of the VA's national MBC initiative. Sites with facilitation improved more than comparison sites in implementation, adoption, and reach of MBC. The effectiveness of MBC (i.e., clinician responsiveness to high patient-reported outcome measure [PROM] scores) was demonstrated at all sites both before and after facilitation. After the COVID-19 pandemic began, facilitation sites maintained or improved on their implementation gains, whereas comparison sites uniformly reported decreased emphasis on MBC. CONCLUSIONS: Implementation facilitation resulted in greater gains in outcomes of interest and helped sites retain focus on MBC implementation. Regardless of study condition, clinicians were responsive to elevated PROM scores, but MBC had a larger impact on care at facilitation sites because of increased uptake. Multiple technological and contextual challenges remain, but MBC holds promise for improving routine mental health care.

The effects of department of Veterans Affairs medical centers on socio-economic outcomes: Evidence from the Paycheck Protection Program.

Do medical facilities also help advance improvements in socio-economic outcomes? We focus on Veterans, a vulnerable group over the COVID-19 pandemic who have access to a comprehensive healthcare network, and the receipt of funds from the Paycheck Protection Program (PPP) between April and June as a source of variation. First, we find that Veterans received 3.5% more loans and 6.8% larger loans than their counterparts (p < 0.01), controlling for a wide array of zipcode characteristics. Second, we develop models to predict the number of PPP loans awarded to Veterans, finding that the inclusion of local VA medical center characteristics adds almost as much explanatory power as the industry and occupational composition in an area and even more than the education, race, and age distribution combined. Our results suggest that VA medical centers can play an important role in helping Veterans thrive even beyond addressing their direct medical needs.

Comparing mental and physical health of U.S. veterans by VA healthcare use: implications for generalizability of research in the VA electronic health records.

OBJECTIVE: The Department of Veterans Affairs' (VA) electronic health records (EHR) offer a rich source of big data to study medical and health care questions, but patient eligibility and preferences may limit generalizability of findings. We therefore examined the representativeness of VA veterans by comparing veterans using VA healthcare services to those who do not. METHODS: We analyzed data on 3051 veteran participants age ≥ 18 years in the 2019 National Health Interview Survey. Weighted logistic regression was used to model participant characteristics, health conditions, pain, and self-reported health by past year VA healthcare use and generate predicted marginal prevalences, which were used to calculate Cohen's d of group differences in absolute risk by past-year VA healthcare use. RESULTS: Among veterans, 30.4% had past-year VA healthcare use. Veterans with lower income and members of racial/ethnic minority groups were more likely to report past-year VA healthcare use. Health conditions overrepresented in past-year VA healthcare users included chronic medical conditions (80.6% vs. 69.4%, d = 0.36), pain (78.9% vs. 65.9%; d = 0.35), mental distress (11.6% vs. 5.9%; d = 0.47), anxiety (10.8% vs. 4.1%; d = 0.67), and fair/poor self-reported health (27.9% vs. 18.0%; d = 0.40). CONCLUSIONS: Heterogeneity in veteran sociodemographic and health characteristics was observed by past-year VA healthcare use. Researchers working with VA EHR data should consider how the patient selection process may relate to the exposures and outcomes under study. Statistical reweighting may be needed to generalize risk estimates from the VA EHR data to the overall veteran population.

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.

Decline in Veterans' Admissions to Nursing Homes during COVID-19: Fewer Beds, More Fear, and Finding Alternative Care Settings.

OBJECTIVE: Examine the decline in admission to community nursing homes among Veterans that occurred following the onset of the COVID-19 pandemic. DESIGN: Multimethods study using Department of Veterans Affairs (VA) purchasing records to examine trends in total admissions and semistructured interviews with staff connected to the VA community nursing home program to contextualize observed trends. SETTING AND PARTICIPANTS: All VA-paid admissions to community nursing homes (N = 56,720 admissions) and national data on nursing home admissions from LTCFocUS. Semistructured interviews were conducted with 9 VA staff from 4 VA medical centers working in the VA community nursing home program, including social workers, nurses, and program coordinators. RESULTS: Between April and December 2020, community nursing home admissions among Veterans were 35% lower compared with the same period in 2019. Nationally, total nursing home admissions decreased by 19.6%. VA community nursing home program staff described 3 themes that contributed to this decline: (1) fewer nursing home beds available, (2) lower admissions due to fear of Veterans being exposed to COVID-19 in nursing homes, and (3) leaving nursing homes in favor of living at home with home-based care. CONCLUSIONS AND IMPLICATIONS: The decline in nursing home admissions among Veterans raises questions about how replacing nursing home care in favor of home- and community-based care affects the health outcomes and well-being of Veterans and their caregivers.

Primary care virtual resource use prior and post COVID-19 pandemic onset.

BACKGROUND: The COVID-19 pandemic has been a catalyst for rapid uptake of virtual care through the use of virtual health resources (VHR). In the Department of Veterans Affairs (VA) Healthcare System, virtual care has been critical to maintaining healthcare access for patients during COVID-19. In the current study we describe primary care patient aligned care team (PACT) VHR use patterns within one VA medical center (i.e., hospital facility and five community-based outpatient clinics) pre- and post-COVID-19 onset. METHODS: VHR provider and patient use data from 106 individual PACTs were extracted monthly between September 2019 to September 2020. Data were extracted from VHA web-based project application and tracking databases. Using longitudinal data, mixed effect models were used to compare pre- and post-COVID onset slopes. RESULTS: Findings highlight an increase in patient users of secure messaging (SM) and telehealth. The rate of utilization among these patients increased for SM but not for telehealth visits or online prescription refill (RxRefill) use. Finally, VetLink Kiosk check ins that are done at in person visits, diminished abruptly after COVID-19 onset. CONCLUSIONS: These data provide a baseline of VHR use at the PACT level after the initial impact of the COVID-19 pandemic and can inform healthcare delivery changes within the VA systems over time. Moreover, this project produced a data extraction blueprint, that is the first of its kind to track VA VHR use leveraging secondary data sources.

Seroprevalence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection among Veterans Affairs healthcare system employees suggests higher risk of infection when exposed to SARS-CoV-2 outside the work environment.

OBJECTIVE: The seroprevalence of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) IgG antibody was evaluated among employees of a Veterans Affairs healthcare system to assess potential risk factors for transmission and infection. METHODS: All employees were invited to participate in a questionnaire and serological survey to detect antibodies to SARS-CoV-2 as part of a facility-wide quality improvement and infection prevention initiative regardless of clinical or nonclinical duties. The initiative was conducted from June 8 to July 8, 2020. RESULTS: Of the 2,900 employees, 51% participated in the study, revealing a positive SARS-CoV-2 seroprevalence of 4.9% (72 of 1,476; 95% CI, 3.8%-6.1%). There were no statistically significant differences in the presence of antibody based on gender, age, frontline worker status, job title, performance of aerosol-generating procedures, or exposure to known patients with coronavirus infectious disease 2019 (COVID-19) within the hospital. Employees who reported exposure to a known COVID-19 case outside work had a significantly higher seroprevalence at 14.8% (23 of 155) compared to those who did not 3.7% (48 of 1,296; OR, 4.53; 95% CI, 2.67-7.68; P < .0001). Notably, 29% of seropositive employees reported no history of symptoms for SARS-CoV-2 infection. CONCLUSIONS: The seroprevalence of SARS-CoV-2 among employees was not significantly different among those who provided direct patient care and those who did not, suggesting that facility-wide infection control measures were effective. Employees who reported direct personal contact with COVID-19-positive persons outside work were more likely to have SARS-CoV-2 antibodies. Employee exposure to SARS-CoV-2 outside work may introduce infection into hospitals.

'It Makes You Sit Back and Think Where You Wanna Go': Veteran experiences in virtual whole health peer-led groups.

BACKGROUND: The Veterans Health Administration (VHA) is building a Whole Health system of care that aspires to empower and equip each Veteran to pursue a personally meaningful vision of health and well-being. As part of this effort, VHA has developed Taking Charge of My Life and Health (TCMLH), a peer-led, group-based programme that seeks to support Veterans in setting and pursuing health and well-being goals. Prior research showed TCMLH groups to positively impact Veteran outcomes; yet, little is known about Veterans' own experiences and perspectives. METHODS: We completed semi-structured telephone interviews with 15 Veterans across 8 sites who had participated in TCMLH groups offered by the VHA in the virtual format between Summer 2020 and Fall 2021. Inductive thematic analysis was applied to interview transcripts to generate themes. FINDINGS: We identified five themes regarding Veterans' experiences with TCMLH: (1) navigating the virtual format; (2) internalizing the value of health engagement; (3) making healthy lifestyle changes; (4) forging social connections; and (5) taking on a more active role in healthcare. CONCLUSION: Veterans perceived virtual TCMLH groups as meaningful and beneficial, yet also highlighted several challenges. Their perspectives speak to the need to supplement time-limited programmes like TCMLH with ongoing, community-based support. Virtual group-based well-being programmes are a promising innovation. Other healthcare systems may draw on VHA's experience while tailoring format and content to the needs of their patient populations. PATIENT OR PUBLIC CONTRIBUTION: Veterans were involved as evaluation participants. A Veteran consultant, who is a coauthor on this paper, was engaged through the conceptualization of the evaluation, development of data collection materials (interview guide) and writing.

Household Preparedness and Perceptions of Workforce Preparedness During Pandemics: A Health Care Employee Survey at the US Department of Veterans Affairs.

OBJECTIVE: To examine the effects of household preparedness on perceptions of workplace preparedness during a pandemic among all employees at the US Department of Veterans Affairs (VA) medical facilities. METHODS: The VA Preparedness Survey (October-December 2018, Los Angeles, CA) used a stratified simple random, web-based survey. Multivariate statistical analyses examined the effect of household preparedness on perceptions of workforce preparedness during a pandemic: institutional readiness; desire for additional training; and understanding their role and its importance. RESULTS: VA employees totaling 4026 participated. For a pandemic, 55% were confident in their VA medical facility's ability to respond, 63% would like additional training, 49% understood their role during a response, and 68% reported their role as important. Only 23% reported being "well prepared" at home during major disasters. After controlling for study-relevant factors, household preparedness was positively associated with perceptions of workforce preparedness during a pandemic. CONCLUSIONS: Efforts to increase household preparedness for health care employees could bolster workforce preparedness during pandemics. Organizations should consider robust policies and strategies, such as flexible work arrangements, in order to mitigate factors that may serve as barriers to household preparedness.

Association of the COVID-19 Pandemic on VA Resident and Fellow Training Satisfaction and Future VA Employment: A Mixed Methods Study.

Background: The COVID-19 pandemic altered learning experiences of residents and fellows worldwide, including at the US Department of Veterans Affairs (VA). Because the VA is the largest training provider in the United States, understanding VA trainee experiences is vital to understanding the pandemic's impact on graduate medical education nationwide. Additionally, understanding the pandemic's potential impacts on future employment allows for a better understanding of any future disruptions in the supply of physicians. Objective: To examine whether COVID-19 affected the satisfaction with VA training experiences and likelihood to consider future VA employment among residents and fellows. Methods: Responses from the VA Trainee Satisfaction Survey were collected for 3 academic years (2018-2021). Quantitative analysis (bivariate logistic regression) and qualitative content analysis were conducted to determine COVID-19's impact on satisfaction and likelihood of future VA employment. Results: Across 3 academic years, 17 900 responses from a total of 140 933 physician trainees were analyzed (12.7%). Following COVID-19, respondents expressed decreased satisfaction (84.58% vs 86.01%, P=.008) and decreased likelihood to consider future VA employment compared to prior to the pandemic (53.42% vs 55.32%, P=.013). COVID-19-related causes of dissatisfaction included the onboarding process, which slowed due to the pandemic, limited workspace that precluded social distancing, and reduced learning opportunities. Conclusions: Since the pandemic, physician trainees expressed decreased training satisfaction and decreased likelihood to seek future VA employment. Causes of dissatisfaction included increased difficulties with onboarding, further limitations to accessible workspaces, and the direct obstruction of learning opportunities including decreased patient volume or case mix.