Impact of Nurse Residency Program on Time-to-Fill Nurse Vacancies at the Veterans Health Administration.

BACKGROUND: The Department of Veterans Affairs (VA) offers a 1-year Post-Baccalaureate-Registered Nurse Residency (PB-RNR) Program. The impact of the PB-RNR program on local RN recruitment was unknown. OBJECTIVES: We aimed to evaluate the effect of the size of the PB-RNR program at a VA facility on its time-to-fill RN vacancies. PROJECT DESIGN: We used an instrumental variable approach with a 2-stage residual inclusion specification. SUBJECTS: We included RN filled vacancies in the VA that were posted nationwide between 2020 and 2021. MEASURES: Our independent variable was the facility-year level number of PB-RNR program allocations. The 3 binary outcomes were whether the RN vacancy was filled within 90, 60, or 30 days. RESULTS: An increase of one training allocation was significantly associated with a 5.60 percentage point (PP) (95% CI: 2.74-8.46) higher likelihood of filling a vacancy within 90 days, 7.34 PP (95% CI: 4.66-10.03) higher likelihood of filling a vacancy within 60 days, and 5.32 PP (95% CI: 3.18-7.46) higher likelihood of filling a vacancy within 30 days. The impact was significant in both 2020 and 2021 positions, and in facilities located in areas with lower social deprivation scores, higher-quality public schools, or with either no or partial primary care physician shortages. CONCLUSIONS: We found favorable impacts of the size of the PB-RNR program at a VA facility on filling RN vacancies.

Impact of Evidence-Based Quality Improvement on Tailoring VA's Patient-Centered Medical Home Model to Women Veterans' Needs.

BACKGROUND: Women Veterans' numerical minority, high rates of military sexual trauma, and gender-specific healthcare needs have complicated implementation of comprehensive primary care (PC) under VA's patient-centered medical home model, Patient Aligned Care Teams (PACT). OBJECTIVE: We deployed an evidence-based quality improvement (EBQI) approach to tailor PACT to meet women Veterans' needs and studied its effects on women's health (WH) care readiness, team-based care, and burnout. DESIGN: We evaluated EBQI effectiveness in a cluster randomized trial with unbalanced random allocation of 12 VAMCs (8 EBQI vs. 4 control). Clinicians/staff completed web-based surveys at baseline (2014) and 24 months (2016). We adjusted for individual-level covariates (e.g., years at VA) and weighted for non-response in difference-in-difference analyses for readiness and team-based care overall and by teamlet type (mixed-gender PC-PACTs vs. women-only WH-PACTs), as well as post-only burnout comparisons. PARTICIPANTS: We surveyed all clinicians/staff in general PC and WH clinics. INTERVENTION: EBQI involved structured engagement of multilevel, multidisciplinary stakeholders at network, VAMC, and clinic levels toward network-specific QI roadmaps. The research team provided QI training, formative feedback, and external practice facilitation, and support for cross-site collaboration calls to VAMC-level QI teams, which developed roadmap-linked projects adapted to local contexts. MAIN MEASURES: WH care readiness (confidence providing WH care, self-efficacy implementing PACT for women, barriers to providing care for women, gender sensitivity); team-based care (change-readiness, communication, decision-making, PACT-related QI, functioning); burnout. KEY RESULTS: Overall, EBQI had mixed effects which varied substantively by type of PACT. In PC-PACTs, EBQI increased self-efficacy implementing PACT for women and gender sensitivity, even as it lowered confidence. In contrast, in WH-PACTs, EBQI improved change-readiness, team-based communication, and functioning, and was associated with lower burnout. CONCLUSIONS: EBQI effectiveness varied, with WH-PACTs experiencing broader benefits and PC-PACTs improving basic WH care readiness. Lower confidence delivering WH care by PC-PACT members warrants further study. TRIAL REGISTRATION: The data in this paper represent results from a cluster randomized controlled trial registered in ClinicalTrials.gov (NCT02039856).

Reimagining How We Synthesize Information to Impact Clinical Care, Policy, and Research Priorities in Real Time: Examples and Lessons Learned from COVID-19.

Real-time clinical care, policy, and research decisions need real-time evidence synthesis. However, as we found during the COVID-19 pandemic, it is challenging to rapidly address key clinical and policy questions through rigorous, relevant, and usable evidence. Our objective is to present three exemplar cases of rapid evidence synthesis products from the Veterans Healthcare Administration Evidence Synthesis Program (ESP) and, in the context of these examples, outline ESP products, challenges, and lessons learned. We faced challenges in (1) balancing scientific rigor with the speed in which evidence synthesis was needed, (2) sorting through rapidly evolving large bodies of evidence, and (3) assessing the impact of evidence synthesis products on clinical care, policy, and research. We found solutions in (1) engaging stakeholders early, (2) utilizing artificial intelligence capabilities, (3) building infrastructure to establish living reviews, and (4) planning for dissemination to maximize impact.

Integrating Buprenorphine for Opioid Use Disorder into Rural, Primary Care Settings.

BACKGROUND: Medications for opioid use disorder (MOUD) including buprenorphine are effective, but underutilized. Rural patients experience pronounced disparities in access. To reach rural patients, the US Department of Veterans Affairs (VA) has sought to expand buprenorphine prescribing beyond specialty settings and into primary care. OBJECTIVE: Although challenges remain, some rural VA health care systems have begun offering opioid use disorder (OUD) treatment with buprenorphine in primary care. We conducted interviews with clinicians, leaders, and staff within these systems to understand how this outcome had been achieved. DESIGN: Using administrative data from the VA Corporate Data Warehouse (CDW), we identified rural VA health care systems that had improved their rate of primary care-based buprenorphine prescribing over the period 2015-2020. We conducted qualitative interviews (n = 30) with staff involved in implementing or prescribing buprenorphine in these systems to understand the processes that had facilitated implementation. PARTICIPANTS: Clinicians, staff, and leaders embedded within rural VA health care systems located in the Northwest, West, Midwest (2), South, and Northeast. APPROACH: Qualitative interviews were analyzed using a mixed inductive/deductive approach. KEY RESULTS: Interviews revealed the processes through which buprenorphine was integrated into primary care, as well as processes insufficient to enact change. Implementation was often initially catalyzed through a targeted hire. Champions then engaged clinicians and leaders one-on-one to "pitch" the case, describe concordance between buprenorphine prescribing and existing goals, and delineate the supportive role that they could provide. Sites were prepared for implementation by developing new clinical teams and redesigning clinical processes. Each of these processes was made possible with the active, instrumental support of leadership. CONCLUSIONS: Results suggest that rural systems seeking to improve buprenorphine accessibility in primary care may need to alter primary care structures to accommodate buprenorphine prescribing, whether through new hires, team development, or clinical redesign.

First Decade of Supportive Services for Veteran Families Program and Homelessness, 2012-2022.

As homelessness remains an urgent public health crisis in the United States, specific programs in the US Department of Veterans Affairs (VA) system may serve as a roadmap for addressing it. We examine lessons learned from the first decade (2012-2022) of the Supportive Services for Veteran Families (SSVF) program, a cornerstone in the VA continuum of homeless services aimed at both preventing homelessness among those at risk and providing rapid rehousing for veterans and their families who are currently experiencing homelessness. Drawing on information from annual reports and other relevant literature, we have identified 3 themes of SSVF that emerged as features to comprehensively deliver support for homeless veterans and their families: (1) responsiveness and flexibility, (2) coordination and integration, and (3) social resource engagement. Using these strategies, SSVF reached nearly three quarters of a million veterans and their families in its first decade, thereby becoming one of the VA's most substantial programmatic efforts designed to address homelessness. We discuss how each feature might apply to addressing homelessness in the general population as well as future research directions. (Am J Public Health. 2024;114(6):610-618. https://doi.org/10.2105/AJPH.2024.307625).

Factors Contributing to Patient Satisfaction Among VA Medical Center and Non-VA Medical Center Hospitals.

INTRODUCTION: Veteran satisfaction of care within the Veterans Affairs is typically very high. Yet recommendation ratings of VA medical center (VA) hospitals as measured by Hospital Consumer Assessment of Healthcare Providers and Systems are generally lower than non-VA hospitals.Therefore, it was our objective to assess Veteran satisfaction and recommendation scores and then examine whether satisfaction correlates to recommendation. METHODS: We identified all acute care VAs as our primary analytic cohort. As a comparator group, we also included all acute care academic hospitals (non-VAs), as designated by the Centers for Medicare Services. Using data from Hospital Consumer Assessment of Healthcare Providers and Systems and Strategic Analytics for Improvement and Learning (SAIL) Value Model, we collated patient satisfaction scores, as well as markers of surgical safety from Hospital Compare. We then analyzed the correlation within VAs and non-VAs, primarily focusing the relationship between the "would you recommend Hospital Rating" and subdomains of the "Overall Hospital Rating," as well as a composite score of patient safety. RESULTS: A total of 133 VAs and 1116 non-VAs were identified. Among VAs, the "Would you Recommend" hospital rating was significantly and positively correlated with markers of patient satisfaction including care transitions (Pearson's r = 0.59, P = 0.03), Nursing communication (Pearson's R 0.79, P = 0.001), and percent of primary care provider wait times less than 30 min (Pearson's r = 0.25, P = 0.01). VA-recommended scores were negatively correlated with factors such as time to emergency department discharge, and the "leaving the emergency department before being evaluated." When looking at non-VAs, correlation directions were similar, albeit with stronger associations at almost every metric. While recommended scores correlated strongly to overall hospital ratings for both groups, VAs had no significant correlation between "would you recommend" and patient safety. However, there was a slight negative correlation between patient safety and "recommend" among non-VAs. CONCLUSIONS: Although satisfiers and dissatisfiers of care appear similar between VAs and non-VAs, "would you recommend" is a far weaker marker of patient perceptions of safety and quality. These seemingly empathetic markers such as "would you recommend" should be used with caution as they may not address the fundamental question being asked.

Care Fragmentation, Social Determinants of Health, and Postoperative Mortality in Older Veterans.

INTRODUCTION: Veterans Affairs Surgical Quality Improvement Program (VASQIP) benchmarking algorithms helped the Veterans Health Administration (VHA) reduce postoperative mortality. Despite calls to consider social risk factors, these algorithms do not adjust for social determinants of health (SDoH) or account for services fragmented between the VHA and the private sector. This investigation examines how the addition of SDoH change model performance and quantifies associations between SDoH and 30-d postoperative mortality. METHODS: VASQIP (2013-2019) cohort study in patients ≥65 y old with 2-30-d inpatient stays. VASQIP was linked to other VHA and Medicare/Medicaid data. 30-d postoperative mortality was examined using multivariable logistic regression models, adjusting first for clinical variables, then adding SDoH. RESULTS: In adjusted analyses of 93,644 inpatient cases (97.7% male, 79.7% non-Hispanic White), higher proportions of non-veterans affairs care (adjusted odds ratio [aOR] = 1.02, 95% CI = 1.01-1.04) and living in highly deprived areas (aOR = 1.15, 95% CI = 1.02-1.29) were associated with increased postoperative mortality. Black race (aOR = 0.77, CI = 0.68-0.88) and rurality (aOR = 0.87, CI = 0.79-0.96) were associated with lower postoperative mortality. Adding SDoH to models with only clinical variables did not improve discrimination (c = 0.836 versus c = 0.835). CONCLUSIONS: Postoperative mortality is worse among Veterans receiving more health care outside the VA and living in highly deprived neighborhoods. However, adjusting for SDoH is unlikely to improve existing mortality-benchmarking models. Reduction efforts for postoperative mortality could focus on alleviating care fragmentation and designing care pathways that consider area deprivation. The adjusted survival advantage for rural and Black Veterans may be of interest to private sector hospitals as they attempt to alleviate enduring health-care disparities.

Automated Versus Semi-Automated Lab Value Extraction for the VA Cardiac Surgical Quality Improvement Program.

INTRODUCTION: The Veterans Affairs Surgical Quality Improvement Program (VASQIP) trains surgical quality nurses (SQNs) at each Veterans Affairs (VA) hospital to extract or verify 187 variables from the medical record for all cardiac surgical cases. For ten preoperative laboratory values, VASQIP has a semiautomated (SA) system in which local lab values are automatically extracted, verified by SQNs, and lab values recorded at other VA facilities are manually extracted. The objective of this study was to develop and validate a method to automate the extraction of these ten preoperative laboratory values and compare results with the current SA method. MATERIALS AND METHODS: We developed methods to extract ten preoperative laboratory values and measurement dates from the VA Corporate Data Warehouse using Logical Observation Identifiers Names and Codes. Automated (A) versus SA information extraction was compared in terms of agreement, conformance to data definitions, proximity to surgery, and missingness. RESULTS: For surgeries with both A and SA lab values, the intraclass correlation coefficients for the ten variables ranged from 0.90 to 0.98. For several variables, the A method resulted in much lower rates of missing data (e.g., 2.4% versus 22.5% missing data for high-density lipoprotein) and eliminated out-of-date-range entries. CONCLUSIONS: Although SQN-extracted data are widely considered the gold standard within National Surgical Quality Improvement Programs, there may be advantages to fully automating extraction of lab values, including high congruence with SA SQN-extracted or verified values and lower rates of missingness and out-of-date-range data.

Organizational and Implementation Factors Associated with Cirrhosis Care in the Veterans Health Administration.

BACKGROUND: The Veterans Health Administration provides care to more than 100,000 Veterans with cirrhosis. AIMS: This implementation evaluation aimed to understand organizational resources and barriers associated with cirrhosis care. METHODS: Clinicians across 145 Department of Veterans Affairs (VA) medical centers (VAMCs) were surveyed in 2022 about implementing guideline-concordant cirrhosis care. VA Corporate Data Warehouse data were used to assess VAMC performance on two national cirrhosis quality measures: HCC surveillance and esophageal variceal surveillance or treatment (EVST). Organizational factors associated with higher performance were identified using linear regression models. RESULTS: Responding VAMCs (n = 124, 86%) ranged in resource availability, perceived barriers, and care processes. In multivariable models, factors independently associated with HCC surveillance included on-site interventional radiology and identifying patients overdue for surveillance using a national cirrhosis population management tool ("dashboard"). EVST was significantly associated with dashboard use and on-site gastroenterology services. For larger VAMCs, the average HCC surveillance rate was similar between VAMCs using vs. not using the dashboard (47% vs. 41%), while for smaller and less resourced VAMCs, dashboard use resulted in a 13% rate difference (46% vs. 33%). Likewise, higher EVST rates were more strongly associated with dashboard use in smaller (55% vs. 50%) compared to larger (57% vs. 55%) VAMCs. CONCLUSIONS: Resources, barriers, and care processes varied across diverse VAMCs. Smaller VAMCs without specialty care achieved HCC and EVST surveillance rates nearly as high as more complex and resourced VAMCs if they used a population management tool to identify the patients due for cirrhosis care.

Effect of the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act Scribes Trial on Emergency Department Provider Productivity and Patient Throughput Times.

BACKGROUND: To help improve access to care, section 507 of the VA MISSION (Maintaining Internal Systems and Strengthening Integrated Outside Networks) Act of 2018 mandated a 2-year trial of medical scribes in the Veterans Health Administration (VHA). OBJECTIVE: The impact of scribes on provider productivity and patient throughput time in VHA emergency departments (EDs) was evaluated. METHODS: A clustered randomized trial was designed using intent-to-treat difference-in-differences analysis. The intervention period was from June 30, 2020 to July 1, 2022. The trial included six intervention and six comparison ED clinics. Two ED providers who volunteered to participate in the trial were assigned two scribes each. Scribes assisted providers with documentation and visit-related activities. The outcomes were provider productivity and patient throughput time per clinic-pay period. RESULTS: Randomization to intervention resulted in decreased provider productivity and increased patient throughput time. In adjusted regression models, randomization to scribes was associated with a decrease of 8.4 visits per full-time equivalent (95% confidence interval [CI] 12.4-4.3; p < 0.001) and 0.5 patients per day per provider (95% CI 0.8-0.3; p < 0.001). Intervention was associated with increases in length of stay of 29.1 min (95% CI 21.2-36.9 min; p < 0.001), 6.3 min in door to doctor (95% CI 2.9-9.6 min; p < 0.001), 19.5 min in door to disposition (95% CI 13.2-25.9 min; p < 0.001), and 13.7 min in doctor to disposition (95% CI 8.8-18.6 min; p < 0.001). CONCLUSIONS: Scribes were associated with decreased provider productivity and increased patient throughput time in VHA EDs. Although scribes may have contributed to improvements in other dimensions of quality, further examination of the ways in which scribes were used is advisable before widespread adoption in VHA EDs.

Overcoming barriers to implementation: mapping implementation strategies in four hospital in home programs within the Veterans Health Administration.

The Hospital at Home model, called Hospital-in-Home (HIH) in the Department of Veterans Affairs, delivers coordinated, high-value care aligned with older adult and caregiver preferences. Documenting implementation barriers and corresponding strategies to overcome them can address challenges to widespread adoption. To evaluate HIH implementation barriers and identify strategies to address them, we conducted interviews with 8 HIH staff at 4 hospitals between 2010 and 2013. We utilized qualitative directed content analysis guided by the Consolidated Framework for Implementation Research (CFIR) and mapped identified barriers to possible strategies using the CFIR-Expert Recommendations for Implementing Change (ERIC) Matching Tool. We identified 11 barriers spanning 5 CFIR domains. Three implementation strategies - identifying and preparing champions, conducting educational meetings, and capturing and sharing local knowledge - achieved high expert endorsement for each barrier. A mix of strategies targeting resources, organizational readiness and fit, and leadership engagement should be considered to support the sustainability and spread of HIH.

Understanding How Contingency Staffing Programs Can Support Mental Health Services in the Veterans Health Administration.

Introduction: Beginning in 2019, the Department of Veterans Affairs (VA) prioritized improving access to care nationally to deliver virtual care and implemented 18 regionally based Clinical Resource Hubs (CRHs) to meet this priority. This observational study describes the quantity and types of care delivered by CRH Mental Health teams, and the professions of those hired to deliver it. Methods: A retrospective cohort study, based on national VA CRH mental health care utilization data and CRH staffing data for CRH's first 3 years, was conducted. Results: CRH Mental Health teams primarily used Telemental Health (TMH) to provide care (98.1% of all CRH MH encounters). The most common disorders treated included depression, post-traumatic stress disorder, and anxiety disorders. The amount of care delivered overtime steadily increased as did the racial and ethnic diversity of Veterans served. Psychologists accounted for the largest share of CRH staffing, followed by psychiatrists. Conclusions: CRH TMH delivered from a regional hub appears to be a feasible and acceptable visit modality, based on the continuously increasing CRH TMH visit rates. Our results showed that CRH TMH was predominantly used to address common mental health diagnoses, rather than serious mental illnesses. Traditionally marginalized patient populations increased over the 3-year window, suggesting that CRH TMH resources were accessible to many of these patients. Future research should assess barriers and facilitators for accessing CRH TMH, especially for difficult-to-service patient populations, and should consider whether similar results to ours occur when regional TMH is delivered to non-VA patient populations.

Factors Associated With Increased Substance Use Disorder Care in VA PTSD Specialty Outpatient Treatment.

OBJECTIVE: Substance use disorders (SUDs) commonly co-occur with posttraumatic stress disorder (PTSD). Understanding PTSD clinics that serve higher percentages of patients with PTSD/SUD is crucial for improving SUD care in clinics with lower percentages of such patients. This study examined the differences between Veterans Affairs (VA) PTSD treatment sites with higher percentages ("High%") and lower percentages ("Low%") of patients with PTSD/SUD as well as exploring the roles of the PTSD/SUD specialists. METHODS: The study collected quantitative and qualitative data from 18 clinic directors and 21 specialists from 33 VA PTSD specialty outpatient clinics from 2014 to 2016. The clinics were chosen from the top and bottom quartiles based on two criteria: (1) the percentage of patients with PTSD/SUD and (2) the percentage of patients with PTSD/SUD who completed at least three SUD visits within the first month of their SUD treatment. The interviews sought to identify distinguishing characteristics between the High% and Low% clinics in terms of treatment access and practices for patients with PTSD/SUD. RESULTS: More of the High% clinics reported providing evidence-based, patient-centered, and integrated/concurrent PTSD/SUD treatment and had staff members with more up-to-date knowledge and skills than the Low% clinics. We also found the roles of the PTSD/SUD specialists were demanding and confusing, leading to high turnover rates. CONCLUSIONS: The two groups of PTSD clinics differed in three key factors: Resources, knowledge and skills of staff members, and local policies. Future research should focus on addressing resource limitations, knowledge gaps, and local policy disparities in Low% clinics. By emulating the practices of High% clinics, VA PTSD clinics can improve SUD care for patients with PTSD/SUD.

The Teledermatology Experience: Cost Savings and Image Quality Control.

Introduction: Teledermatology adoption continues to increase, in part, spurred by the COVID-19 pandemic. This study analyzes the utility and cost savings of a store-and-forward teledermatology consultative system within the Veterans Health Administration (VA). Methods: Retrospective cohort of 4,493 patients across 14 remote sites in Tennessee and Kentucky from May 2017 through August 2019. The study measured the agreement between the teledermatology diagnoses and follow-up face-to-face clinic evaluations as well as the cost effectiveness of the teledermatology program over the study period. Results: Fifty-four percent of patients were recommended for face-to-face appointment for biopsy or further evaluation. Most patients, 80.5% received their face-to-face care by a VA dermatologist. There was a high level of concordance between teledermatologist and clinic dermatologist for pre-malignant and malignant cutaneous conditions. Veterans were seen faster at a VA clinic compared with a community dermatology site. Image quality improved as photographers incorporated teledermatologist feedback. From a cost perspective, teledermatology saved the VA system $1,076,000 in community care costs. Discussion: Teledermatology is a useful diagnostic tool within the VA system providing Veteran care at a cost savings.

What Should Healthcare Systems Consider When Modernizing Call Centers? Early Considerations From the Veterans Health Administration.

GOAL: Growing numbers of hospitals and payers are using call centers to answer patients' clinical and administrative questions, schedule appointments, address billing issues, and offer supplementary care during public health emergencies and national disasters. In 2020, the Veterans Health Administration (VA) implemented VA Health Connect, an enterprise-wide initiative to modernize call centers. VA Health Connect is designed to improve the care experience with the convenience, flexibility, and simplicity of a single toll-free number connected to a range of 24/7 virtual services. The services are organized into four areas: administrative guidance for scheduling and general inquiries; pharmacy support for medication matters; clinical triage for evaluation of symptoms and recommended care; and virtual visits with providers for urgent and episodic care. Through a qualitative evaluation of VA Health Connect, we sought to identify the factors that affected the development of this program and to compile considerations to support the implementation of other enterprise-wide initiatives. METHODS: The evaluation team interviewed 29 clinical and administrative leads from across the VA. These leads were responsible for the modernization of their local service networks. PhD-level qualitative methodologists conducted the interviews, asking participants to reflect on barriers and facilitators to modernization and implementation. The team employed a rapid qualitative analytic approach commonly used in healthcare research to distill robust results. PRINCIPAL FINDINGS: A review of the early implementation of VA Health Connect found: (1) deadlines proved challenging but provided momentum for the initiative; (2) a balance between standardized processes and local adaptations facilitated implementation; (3) attention to staffing, hiring, and training of call center staff before implementation expedited workflows; (4) establishing national and local leadership commitment to the innovation from the onset increased team cohesion and efficacy; and (5) anticipating information technology infrastructure needs prevented delays to modernization and implementation. PRACTICAL APPLICATIONS: Our findings suggest that healthcare systems would benefit from anticipating likely obstacles (e.g., delays in software implementations and negotiations with unions), thus providing ample time to secure leadership buy-in and identify local champions, communicating early and often, and supporting flexible implementation to meet local needs. VA leadership can use this evaluation to refine implementation, and it could also have important implications for regulators, federal health exchanges, insurers, and other healthcare systems when determining resource levels for call centers.

Personality Disorder Diagnosis Among Justice-Involved Veterans: An Investigation of VA Using Veterans.

ABSTRACT: Justice-involved veterans are more likely to experience myriad mental health sequelae. Nonetheless, examination of personality psychopathology among justice-involved veterans remains limited, with studies focused on males within correctional settings. We examined Department of Veterans Affairs (VA) electronic medical records for 1,534,108 (12.28% justice-involved) male and 127,230 (8.79% justice-involved) female veterans. Male and female veterans accessing VA justice-related services were both approximately three times more likely to have a personality disorder diagnosis relative to those with no history of using justice-related services. This effect persisted after accounting for VA use (both overall and mental health), age, race, and ethnicity. Augmenting and tailoring VA justice-related services to facilitate access to evidence-based psychotherapy for personality psychopathology may promote optimal recovery and rehabilitation among these veterans.

Comparative performance of risk prediction models for hepatitis B-related hepatocellular carcinoma in the United States.

BACKGROUND & AIMS: Guidelines recommend hepatocellular carcinoma (HCC) surveillance in patients with chronic HBV infection. Several HCC risk prediction models are available to guide surveillance decisions, but their comparative performance remains unclear. METHODS: Using a retrospective cohort of patients with HBV treated with nucleos(t)ide analogues at 130 Veterans Administration facilities between 9/1/2008 and 12/31/2018, we calculated risk scores from 10 HCC risk prediction models (REACH-B, PAGE-B, m-PAGE-B, CU-HCC, HCC-RESCUE, CAMD, APA-B, REAL-B, AASL-HCC, RWS-HCC). We estimated the models' discrimination and calibration. We calculated HCC incidence in risk categories defined by the reported cut-offs for all models. RESULTS: Of 3,101 patients with HBV (32.2% with cirrhosis), 47.0% were treated with entecavir, 40.6% tenofovir, and 12.4% received both. During a median follow-up of 4.5 years, 113 patients developed HCC at an incidence of 0.75/100 person-years. AUC values for 3-year HCC risk were the highest for RWS-HCC, APA-B, REAL-B, and AASL-HCC (all >0.80). Of these, 3 (APA-B, RWS-HCC, REAL-B) incorporated alpha-fetoprotein. AUC values for the other models ranged from 0.73 for PAGE-B to 0.79 for CAMD and HCC-RESCUE. Of the 7 models with AUC >0.75, only APA-B was poorly calibrated. In total, 10-20% of the cohort was deemed low-risk based on the published cut-offs. None of the patients in the low-risk groups defined by PAGE-B, m-PAGE-B, AASL-HCC, and REAL-B developed HCC during the study timeframe. CONCLUSION: In this national cohort of US-based patients with HBV on antiviral treatment, most models performed well in predicting HCC risk. A low-risk group, in which no cases of HCC occurred within a 3-year timeframe, was identified by several models (PAGE-B, m-PAGE-B, CAMD, AASL-HCC, REAL-B). Further studies are warranted to examine whether these patients could be excluded from HCC surveillance. LAY SUMMARY: Risk prediction models for hepatocellular carcinoma (HCC) in patients infected with hepatitis B virus (HBV) could guide HCC surveillance decisions. In this large cohort of US-based patients receiving treatment for HBV, most published models discriminated between those who did or did not develop HCC, although the RWS-HCC, REAL-B, and AASL-HCC performed the best. If confirmed in future studies, these models could help identify a low-risk subset of patients on antiviral treatment who could be excluded from HCC surveillance.

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.

Prevalence of Effective Audit-and-Feedback Practices in Primary Care Settings: A Qualitative Examination Within Veterans Health Administration.

OBJECTIVE: The purpose of this study is to uncover and catalog the various practices for delivering and disseminating clinical performance in various Veterans Affairs (VA) locations and to evaluate their quality against evidence-based models of effective feedback as reported in the literature. BACKGROUND: Feedback can enhance clinical performance in subsequent performance episodes. However, evidence is clear that the way in which feedback is delivered determines whether performance is harmed or improved. METHOD: We purposively sampled 16 geographically dispersed VA hospitals based on high, low, consistently moderate, and moderately average highly variable performance on a set of 17 outpatient clinical performance measures. We excluded four sites due to insufficient interview data. We interviewed four key personnel from each location (n = 48) to uncover effective and ineffective audit and feedback strategies. Interviews were transcribed and analyzed qualitatively using a framework-based content analysis approach to identify emergent themes. RESULTS: We identified 102 unique strategies used to deliver feedback. Of these strategies, 64 (62.74%) have been found to be ineffective according to the audit-and-feedback research literature. Comparing features common to effective (e.g., individually tailored, computerized feedback reports) versus ineffective (e.g., large staff meetings) strategies, most ineffective strategies delivered feedback in meetings, whereas strategies receiving the highest effectiveness scores delivered feedback via visually understood reports that did not occur in a group setting. CONCLUSIONS: Findings show that current practices are leveraging largely ineffective feedback strategies. Future research should seek to identify the longitudinal impact of current feedback and audit practices on clinical performance. APPLICATION: Feedback in primary care has little standardization and does not follow available evidence for effective feedback design. Future research in this area is warranted.

Protease inhibitor-based direct-acting antivirals are associated with increased risk of aminotransferase elevations but not hepatic dysfunction or decompensation.

BACKGROUND & AIMS: Cases of acute liver injury (ALI) have been reported among chronic HCV-infected patients receiving protease inhibitor (PI)-based direct-acting antiviral (DAA) regimens, but no analyses have compared the risk of ALI in patients receiving PI- vs. non-PI-based DAAs. Thus, we compared the risk of 3 ALI outcomes between patients (by baseline Fibrosis-4 [FIB-4] group) receiving PI-based or non-PI-based DAAs. METHODS: We conducted a cohort study of 18,498 patients receiving PI-based DAA therapy (paritaprevir/ritonavir/ombitasvir±dasabuvir, elbasvir/grazoprevir, glecaprevir/pibrentasvir) matched 1:1 on propensity score to those receiving non-PI-based DAAs (sofosbuvir/ledipasvir, sofosbuvir/velpatasvir) in the 1945-1965 Veterans Birth Cohort (2014-2019). During exposure to DAA therapy, we determined development of: i) alanine aminotransferase (ALT) >200 U/L, ii) severe hepatic dysfunction (coagulopathy with hyperbilirubinemia), and iii) hepatic decompensation. We used Cox regression to determine hazard ratios (HRs) with 95% CIs for each ALI outcome within groups defined by baseline FIB-4 (≤3.25; >3.25). RESULTS: Among patients with baseline FIB-4 ≤3.25, those receiving PIs had a higher risk of ALT >200 U/L (HR 3.98; 95% CI 2.37-6.68), but not severe hepatic dysfunction (HR 0.67; 95% CI 0.19-2.39) or hepatic decompensation (HR 1.01; 95% CI 0.29-3.49), compared to those receiving non-PI-based regimens. For those with baseline FIB-4 >3.25, those receiving PIs had a higher risk of ALT >200 U/L (HR, 2.15; 95% CI 1.09-4.26), but not severe hepatic dysfunction (HR, 1.23 [0.64-2.38]) or hepatic decompensation (HR, 0.87; 95% CI 0.41-1.87), compared to those receiving non-PI-based regimens CONCLUSION: While risk of incident ALT elevations was increased in those receiving PI-based DAAs in both FIB-4 groups, the risk of severe hepatic dysfunction and hepatic decompensation did not differ between patients receiving PI- or non-PI-based DAAs in either FIB-4 group. LAY SUMMARY: Cases of liver injury have been reported among patients treated with protease inhibitor-based direct-acting antivirals for hepatitis C infection, but it is not clear if the risk of liver injury among people starting these drugs is increased compared to those starting non-protease inhibitor-based therapy. In this study, patients receiving protease inhibitor-based treatment had a higher risk of liver inflammation than those receiving a non-protease inhibitor-based treatment, regardless of the presence of pre-treatment advanced liver fibrosis/cirrhosis. However, the risk of severe liver dysfunction and decompensation were not higher for patients treated with protease inhibitor-based regimens.