The Chickahominy T.R.U.T.H. (Trust, Research, Understand, Teach, and Heal) Project-A Tribal Community-Academic Partnership for Understanding the Impact of Structural Factors on Perceived Cancer Risk in Rural Virginia.

In 2022, the Virginia Chickahominy Indian Tribe partnered with Virginia Commonwealth University Massey Comprehensive Cancer Center to investigate concerns about a potential cancer cluster near a local landfill. While investigating cancer clusters is complex due to long latency and multifactorial causes, the community's concerns about structural factors driving cancer risk warrant exploration. Thus, the Chickahominy T.R.U.T.H. (Trust, Research, Understand, Teach, and Heal) Project was created as a community-academic partnership to (1) identify structural factors and barriers associated with perceived cancer risk and care; (2) assess cancer knowledge, care access gaps, and perceived risks, including testing private and community water sources; (3) develop and deploy culturally tailored cancer education and resource navigation, including groundwater safety education, policies, and remediation. We will conduct 150 in-person interviews and water tests among residents within a four-mile radius of the landfill, and deploy 1000 structured questionnaires among Charles City County residents. In this paper, we provide an overview of the ongoing project design, development, and progress in support of the project's objectives. This collaborative investigation aims to address cancer health disparities, enhance research and health policy advocacy, and honor the sacred knowledge of an underserved community, laying the groundwork for a long-term partnership to guide future research questions.

Gestational Weight Gain Among Urban and Rural Pregnant Individuals Who Smoke or Quit Smoking.

INTRODUCTION: Approximately 7.2% of individuals in the U.S. smoke during pregnancy, and cessation is associated with excessive gestational weight gain (GWG). Weight gain is a common reason for not quitting smoking or relapsing. The current study aimed to characterize who is at risk for excessive GWG and determine the moderating effect of rurality given the higher smoking rates and lower access to healthcare services in these areas. METHODS: Data from the Virginia Pregnancy Risk Assessment Monitoring System (PRAMS; years 2009-2020) were used to assess the association between participant characteristics, smoking behaviors, and rurality by excessive GWG status in 2023. RESULTS: Almost half (44.0%) of participants experienced excessive GWG; 9.8% of participants quit smoking while 6.9% continued smoking. Respondents who quit during pregnancy had higher odds of excessive GWG than non-smoking respondents (OR=1.83, 95% CI: [1.24, 2.71]). Among those who were non-smoking, respondents in rural areas, compared to urban areas, had a higher probability of experiencing excessive GWG (0.46 vs 0.44, p<0.001). For those who quit smoking (0.60 vs 0.41, p<0.001) or continued to smoke during pregnancy (0.46 vs 0.33, p<0.001), urban residence was associated with a higher likelihood of excessive GWG compared to rural residence. CONCLUSIONS: Smoking cessation and weight management during pregnancy are critical to promoting infant and maternal health. Targeted interventions combining weight management and smoking cessation have been successful among the general population and could be adapted for pregnant individuals who smoke to facilitate cessation and healthy GWG in both urban and rural areas.

Exploring the influence of behavioral factors on depression and anxiety scores during the COVID-19 pandemic: insights from the Virginia statewide COVIDsmart longitudinal study.

BACKGROUND: Amidst the COVID-19 pandemic, there has been growing concern about the declining mental health and healthy behaviors compared to pre-pandemic levels. Despite this, there is a lack of longitudinal studies that have examined the relationship between health behaviors and mental health during the pandemic. In response, the statewide COVIDsmart longitudinal study was launched. The study's main objective is to better understand the effects of the pandemic on mental health. Findings may provide a foundation for the identification of public health strategies to mitigate future negative impacts of the pandemic. METHODS: Following online recruitment in spring of 2021, adults, ages 18 to 87, filled out social, mental, economic, occupational, and physical health questionnaires on the digital COVIDsmart platform at baseline and through six monthly follow-ups. Changes in the participant's four health behaviors (e.g., tobacco and alcohol consumption, physical activity, and social media use), along with sex, age, loneliness score, and reported social and economic (SE) hardships, were analyzed for within-between group associations with depression and anxiety scores using Mixed Models Repeated Measures. RESULTS: In this study, of the 669 individuals who reported, the within-between group analysis indicated that younger adults (F = 23.81, p < 0.0001), loneliness (F = 234.60, p < 0.0001), SE hardships (F = 31.25, p < 0.0001), increased tobacco use (F = 3.05, p = 0.036), decreased physical activity (F = 6.88, p = 0.0002), and both positive and negative changes in social media use (F = 7.22, p = 0.0001) were significantly associated with worse depression scores. Additionally, females (F = 6.01, p = 0.015), younger adults (F = 32.30, p < 0.0001), loneliness (F = 154.59, p < 0.0001), SE hardships (F = 22.13, p < 0.0001), increased tobacco use (F = 4.87, p = 0.004), and both positive and negative changes in social media use (F = 3.51, p = 0.016) were significantly associated with worse anxiety scores. However, no significant changes were observed in the within-between group measurements of depression and anxiety scores over time (p > 0.05). Physical activity was not associated with anxiety nor was alcohol consumption with both depression and anxiety (p > 0.05). CONCLUSIONS: This study demonstrates the longitudinal changes in behaviors within the context of the COVID-19 pandemic. These findings may facilitate the design of preventative population-based health approaches during the COVID-19 pandemic or future pandemics.

Impact of Medicaid Expansion on Abdominal Surgery Morbidity, Mortality, and Hospital Readmission.

INTRODUCTION: Medicaid expansion's (ME) impact on postoperative outcomes after abdominal surgery remains poorly defined. We aimed to evaluate ME's effect on surgical morbidity, mortality, and readmissions in a state that expanded Medicaid (Virginia) compared to a state that did not (Tennessee) over the same time period. METHODS: Virginia Surgical Quality Collaborative (VSQC) American College of Surgeons National Surgical Quality Improvement Program data for Medicaid, uninsured, and private insurance patients undergoing abdominal procedures before Virginia's ME (3/22/18-12/31/18) were compared with post-ME (1/1/19-12/31/19), as were corresponding non-ME state Tennessee Surgical Quality Collaborative (TSQC) data for the same 2018 and 2019 time periods. Postexpansion odds ratios for 30-d morbidity, 30-d mortality, and 30-d unplanned readmission were estimated using propensity score-adjusted logistic regression models. RESULTS: In Virginia, 4753 abdominal procedures, 2097 pre-ME were compared to 2656 post-ME. In Tennessee, 5956 procedures, 2484 in 2018 were compared to 3472 in 2019. VSQC's proportion of Medicaid population increased following ME (8.9% versus 18.8%, P < 0.001) while uninsured patients decreased (20.4% versus 6.4%, P < 0.001). Post-ME VSQC had fewer 30-d readmissions (12.2% versus 6.0%, P = 0.013). Post-ME VSQC Medicaid patients had significantly lower probability of morbidity (-8.18, 95% confidence interval: -15.52 ∼ -0.84, P = 0.029) and readmission (-6.92, 95% confidence interval: -12.56 ∼ -1.27, P = 0.016) compared to pre-ME. There were no differences in probability of morbidity or readmission in the TSQC Medicaid population between study periods (both P > 0.05); there were no differences in mortality between study periods in VSQC and TSQC patient populations (both P > 0.05). CONCLUSIONS: ME was associated with decreased 30-d morbidity and unplanned readmissions in the VSQC. Data-driven policies accounting for ME benefits should be considered.

Examining Smoking Prevalence Disparities in Virginia Counties by Rurality, Appalachian Status, and Social Vulnerability, 2011-2019.

Objectives. To estimate county-level cigarette smoking prevalence in Virginia and examine cigarette use disparities by rurality, Appalachian status, and county-level social vulnerability. Methods. We used 2011-2019 Virginia Behavioral Risk Factor Surveillance System proprietary data with geographical information to estimate county-level cigarette smoking prevalence using small area estimation. We used the Centers for Disease Control and Prevention's social vulnerability index to quantify social vulnerability. We used the 2-sample statistical t test to determine the differences in cigarette smoking prevalence and social vulnerability between counties by rurality and Appalachian status. Results. The absolute difference in smoking prevalence was 6.16 percentage points higher in rural versus urban counties and 7.52 percentage points higher in Appalachian versus non-Appalachian counties in Virginia (P < .001). Adjusting for county characteristics, a higher social vulnerability index is associated with increased cigarette use. Rural Appalachian counties had 7.41% higher cigarette use rates than did urban non-Appalachian areas. Tobacco agriculture and a shortage of health care providers were significantly associated with higher cigarette use prevalence. Conclusions. Rural Appalachia and socially vulnerable counties in Virginia have alarmingly high rates of cigarette use. Implementation of targeted intervention strategies could reduce cigarette use, ultimately reducing tobacco-related health disparities. (Am J Public Health. 2023;113(7):811-814. https://doi.org/10.2105/AJPH.2023.307298).

The Association Between Tobacco Retailer Outlet Density and Prevalence of Cigarette Smoking in Virginia.

OBJECTIVE: We examine the association between tobacco retail outlet density and adult smoking prevalence at the county level in Virginia, controlling for spatial autocorrelations. AIMS AND METHODS: Pooling data from 2020 County Health Rankings (compiled data from various sources including, but not limited to, the National Center for Health Statistics-Mortality Files, the Behavioral Risk Factor Surveillance System (BRFSS), and the American Community Survey) and Counter Tools, we conducted regression analyses that accounted for spatial autocorrelation (spatial lag models, LMlag) and adjusted for county-level access to healthcare, demographics, SES, environmental factors, risk conditions or behaviors, and population health measures. RESULTS: Our estimates provide evidence that every increase of one tobacco retail outlet per 1000 persons was associated with 1.16 percentage points (95% CI: 0.80-1.52) higher smoking prevalence at the county level in Virginia after controlling for spatial autocorrelation. The effect of outlet density was largely explained by social determinants of health such as SES, risky conditions or behaviors, and environmental factors. We further noticed that the impact of social determinants of health were closely related and can be explained by indicators of population health (rates of mental distress (ß = 1.49, 95% CI: 1.31-1.67) and physical inactivity (ß = 0.07, 95% CI: 0.04-0.10). CONCLUSIONS: Although higher tobacco outlet density was associated with an increase in county-level smoking prevalence, the impact of outlet density was largely explained by social determinants of health and mental illness. Improving well-being at the community level could be a promising strategy in future tobacco control policies. IMPLICATION: The influence of tobacco outlet density seems to be explained by other social determinants of health and population level of mental or physical health. Thus, efforts to reduce tobacco use and consequent negative health effects should explore the impact of improving regional living standards. However, a sole focus on economic growth may not be sufficient, whereas a focus on such things as promoting work-life balance and improving overall well-being at the community level may be more.

Engaging rural communities in cancer prevention and control research: Development and preliminary insights from a community-based research registry.

OBJECTIVE: To report on the development and preliminary findings of a community-based cancer registry, including the community-engaged approach to recruitment, participant profile, and distribution of cancer risk factors by race/ethnicity and geography. METHODS: Community outreach and engagement best practices were used to recruit a diverse convenience sample of Virginia residents (≥18 years) that oversampled residents living in rural areas, defined as Rural-Urban Continuum Codes (RUCC) 4-9 and African American (AA)/Black residents. Multiple survey administration methods included electronic (e-survey) and in-person survey by community-based staff. RESULTS: At the time of this analysis, 595 participants are enrolled; 73% are rural, 46% are AA/Black. AA/Black participants reported similar education but lower income (p < 0.01) and health literacy (p < 0.01), lower alcohol use (p < 0.001), fewer sedentary behaviors (p = 0.01), but greater BMI (p < 0.05) compared to White participants. Rural residents reported significantly lower household income (p < 0.001) and greater use of Medicaid (p = 0.01) compared to urban participants. Biennial mammography was reported by 82% of women aged 45-74 years old and colonoscopy by 77% of participants ≥50 years old. Tobacco use was reported by 17%; no differences in cancer screening or tobacco use were identified by geography or by race. CONCLUSION AND RELEVANCE: Community engagement strategies successfully enrolled diverse residents within the cancer service area. AA/Black participants reported fewer cancer risk behaviors, similar educational attainment but lower income and health literacy compared to White respondents. Nuanced examinations of interactions among multilevel factors are needed to understand how individual, community, and institutional factors converge to maintain cancer disparities among AA/Black Virginians. Additional findings indicate a need for tobacco cessation, lung cancer screening, obesity treatment, and prevention initiatives.

Spatial analysis of colorectal cancer outcomes and socioeconomic factors in Virginia.

BACKGROUND: Colorectal cancer (CRC) disparities vary by country and population group, but often have spatial features. This study of the United States state of Virginia assessed CRC outcomes, and identified demographic, socioeconomic and healthcare access contributors to CRC disparities. METHODS: County- and city-level cross-sectional data for 2011-2015 CRC incidence, mortality, and mortality-incidence ratio (MIR) were analyzed for geographically determined clusters (hotspots and cold spots) and their correlates. Spatial regression examined predictors including proportion of African American (AA) residents, rural-urban status, socioeconomic (SES) index, CRC screening rate, and densities of primary care providers (PCP) and gastroenterologists. Stationarity, which assesses spatial equality, was examined with geographically weighted regression. RESULTS: For incidence, one CRC hotspot and two cold spots were identified, including one large hotspot for MIR in southwest Virginia. In the spatial distribution of mortality, no clusters were found. Rurality and AA population were most associated with incidence. SES index, rurality, and PCP density were associated with spatial distribution of mortality. SES index and rurality were associated with MIR. Local coefficients indicated stronger associations of predictor variables in the southwestern region. CONCLUSIONS: Rurality, low SES, and racial distribution were important predictors of CRC incidence, mortality, and MIR. Regions with concentrations of one or more factors of disparities face additional hurdles to improving CRC outcomes. A large cluster of high MIR in southwest Virginia region requires further investigation to improve early cancer detection and support survivorship. Spatial analysis can identify high-disparity populations and be used to inform targeted cancer control programming.

Barriers to Access to Hematopoietic Cell Transplantation among Patients with Acute Myeloid Leukemia in Virginia.

Allogeneic hematopoietic cell transplantation (HCT) is a standard therapy for patients with intermediate to high-risk acute myeloid leukemia (AML) and is associated with improved long-term disease-free survival. Disparity exists in access to HCT among different patient populations and requires further study. In this study, we compared HCT rates for AML among different regions in the state of Virginia and identified geographic and socioeconomic factors associated with the likelihood of receiving HCT. We conducted a retrospective, cohort study of patients 18 to 74 years of age diagnosed with AML in Virginia from 2013 to 2017 as reported to the Virginia Cancer Registry (VCR); the VCR was further linked with the Center for International Blood and Marrow Transplant Research database for identification of patients who had undergone HCT within 2 years of diagnosis. Socioeconomic data were generated from the VCR and the American Community Survey. Univariate and multivariable logistic regression models were used to examine selected socioeconomic factors of interest, including patient-level information such as sex, age, race, marital status, and primary insurance payer, as well as factors associated with geography, including the Social Vulnerability Index (SVI) and percentage of African Americans residing in the region. In Virginia, 818 patients were diagnosed with AML from 2013 to 2017, and, of these, 168 patients (21%) underwent HCT within 2 years of diagnosis. Median age was lower in the HCT cohort (55 years) versus the non-HCT cohort (64 years) (P < .001). There was a higher proportion of married patients in the HCT cohort (67%) versus the non-HCT cohort (53%) (P = .005). The rate of HCT varied by geographic region (P = .004). The multivariable analyses (without including SVI) showed decreased likelihood of HCT with increasing age (odds ratio [OR], .96; 95% confidence interval [CI], .95 to .98). Patients from regions that had a greater than 25% African American population were less likely to undergo HCT (OR, .58; 95% CI, .38 to .89). Patients who were not married were less likely to undergo HCT compared with married patients (OR, .56; 95% CI, .36 to .88). Patients with government-sponsored insurance as the primary payer were less likely to undergo HCT compared with patients with private insurance (OR, .49; 95% CI, .32 to .77). Patients living in Zip Code areas with a greater percentage of population with a bachelor's or graduate degree were more likely to undergo HCT (OR, 1.02; 95% CI, 1.00 to 1.03). In a separate multivariate model with SVI, patients residing in a Zip Code with higher SVI were less likely to undergo HCT (OR, .37; 95% CI, .16 to .82). From 2013 to 2017, we found that the likelihood of a patient undergoing HCT in Virginia for AML within 2 years of diagnosis was negatively associated with increasing age, percent of African Americans residing in the region, not-married relationship status, government-sponsored insurance as primary payer, higher SVI, and decreased percent of population with a bachelor's or graduate degree. Resources should be directed toward at-risk patient populations to remove barriers to improve access to HCT. The SVI can be used to identify communities at risk nationwide.

Identifying Area-Level Disparities in Human Papillomavirus Vaccination Coverage Using Geospatial Analysis.

BACKGROUND: Human papillomavirus (HPV) is the most common sexually transmitted infection within the United States (US). Despite clinical agreement on the effectiveness and widespread availability of the prophylactic HPV vaccine, vaccination coverage in the US is suboptimal and varies by geographic region and area-level variables. The goals of this article were to model the variation in vaccination rates among boys and girls within ZIP Codes in Virginia, determine whether neighborhood sociodemographic variables explain variation in HPV vaccination, and identify areas with significantly depressed vaccination coverage. METHODS: We used Bayesian hierarchical spatial regression models with statewide immunization registry data to consider the correlation in vaccination among boys and girls, as well as the spatial correlation in vaccination for each sex. RESULTS: The results showed low vaccination coverage in our birth cohort (28.9% in girls and 23.8% in boys) relative to the national level (56.8% and 51.8%, respectively). Several area-level variables were significantly and positively associated with vaccination coverage, including population density, percentage of Hispanic population, and average number of vehicles. In addition, there were several areas of significantly lowered vaccination coverage, including predominantly rural ones, and overall large geographic disparities in HPV vaccination. CONCLUSIONS: Determining the geospatial patterning and area-level factors associated with HPV vaccination within a prescribed geographic area helps to inform future planning efforts. IMPACT: The results of this study will help inform future planning efforts for geographically targeted interventions and policies, as well as drive new research to implement clinical and community strategies to increase HPV vaccination.

Analysis of Pediatric Dog Bite Injuries at a Level 1 Trauma Center Over 10 Years.

BACKGROUND: Dog bite injuries cause significant preventable patient morbidity and health care expenditure in children. This study aimed to characterize the patient and healthcare burden related to pediatric dog bite injuries at a level 1 trauma center. METHODS: This is a retrospective review of 356 pediatric patients who presented to Virginia Commonwealth University Pediatric Emergency Department between July 2007 and August 2017 after sustaining dog bite injuries. Demographic information, injury details, management, outcomes, and financial information were analyzed. RESULTS: Most pediatric dog bite injuries afflicted male children (55.6%), ages 6 to 12 years (45.7%), by a household dog (36.2%). The most common offending breed was a pit bull or pit bull mix (53.0%). Infants and grade schoolers were more likely to sustain bites to the head/face (P = 0.001). Usual management consisted of primary repair (75.9%), whereas approximately 25% of the patients required advanced reconstructive techniques. Most patients healed uneventfully, but prolonged antibiotics, additional wound care, or procedures were necessary in 8.4% of the patients. Hospital charges per patient averaged US $8830.70 and tended to be higher in the younger age groups. Insurance status was statistically associated with use of conscious sedation, surgical consult placement, and surgical repair. CONCLUSIONS: Although most pediatric dog bite injuries in this study healed uneventfully from primary management in the emergency department, 25% required additional interventions. Furthermore, patient care for these injuries was associated with significant but potentially avoidable personal and financial burden to families. Our data reflect a need for safety education on animal care, behavior, and interaction.

Use of Real-Time PCR for Chlamydia psittaci Detection in Human Specimens During an Outbreak of Psittacosis - Georgia and Virginia, 2018.

Psittacosis is typically a mild febrile respiratory illness caused by infection with the bacterium Chlamydia psittaci and usually transmitted to humans by infected birds (1). On average, 11 psittacosis cases per year were reported in the United States during 2000-2017. During August-October 2018, the largest U.S. psittacosis outbreak in 30 years (82 cases identified*) occurred in two poultry slaughter plants, one each in Virginia and Georgia, that shared source farms (2). CDC used C. psittaci real-time polymerase chain reaction (PCR) to test 54 human specimens from this outbreak. This was the largest number of human specimens from a single outbreak ever tested for C. psittaci using real-time PCR, which is faster and more sensitive than commercially available serologic tests. This represented a rare opportunity to assess the utility of multiple specimen types for real-time PCR detection of C. psittaci. C. psittaci was detected more frequently in lower respiratory specimens (59% [10 of 17]) and stool (four of five) than in upper respiratory specimens (7% [two of 28]). Among six patients with sputum and nasopharyngeal swabs tested, C. psittaci was detected only in sputum in five patients. Cycle threshold (Ct) values suggested bacterial load was higher in lower respiratory specimens than in nasopharyngeal swabs. These findings support prioritizing lower respiratory specimens for real-time PCR detection of C. psittaci. Stool specimens might also have utility for diagnosis of psittacosis.

Epidemiology of acute myeloid leukemia in Virginia: Excellent survival outcomes for patients in rural Appalachia.

BACKGROUND: Acute myeloid leukemia, the most common acute leukemia in adults, has a poor overall survival. Studies have suggested that certain socioeconomic factors such as living in a rural or farming area are associated with worse outcomes. Since 42% of acute myeloid leukemia patients seen in our academic center reside in a rural area, we have a unique opportunity to study outcomes of patients in rural versus urban settings. AIM: This analysis evaluates the effect of geography and socioeconomic factors on the biology, treatment, and overall survival of patients with acute myeloid leukemia, with the goal of understanding health care disparities. METHODS AND RESULTS: Patient characteristics, cytogenetic data, treatment history, and overall survival were collected and analyzed to identify differences between urban and rural residency. This cohort included 42% of patients who resided in a rural area at the time of acute myeloid leukemia diagnosis. There was no difference in overall survival between the cohorts. The 1 year overall survival for the entire cohort was 47.9%. There was no difference detected in rates of adverse cytogenetics between the rural and urban cohorts. Similar numbers of patients received induction chemotherapy or proceeded to allogeneic stem cell transplant between the cohorts. CONCLUSIONS: This study highlights that similar outcomes can be achieved in rural and urban patients, suggesting that intensive efforts at telehealth, education, and collaboration with local oncology practices may be beneficial.

Health information source use and trust among a vulnerable rural disparities population.

PURPOSE: Because rural residents, particularly those near mining sites, are susceptible to numerous environmental health hazards, it is important to gain deeper insights into their use and trust of health information, which they may employ to help recognize symptoms, learn ways to reduce exposure, or find health care. METHODS: We surveyed residents (N = 101) of rural Kentucky, Virginia, and West Virginia to assess predictors of health information source use and trust. A project manager administered face-to-face paper and pencil questionnaires assessing demographics, health status, smoking behavior, and health information use and source trust. Bivariate correlations and ordinary least squares regressions were used to analyze the data. FINDINGS: The data suggest that rural individuals frequently use nurses, doctors, and websites to seek health information, whereas traditional media are often not their preferred channel for health information. Media sources were not found as trustworthy as interpersonal and medical health information sources. While only 13.0% of individuals in the sample said they ever turned to county or state health departments for health information, these sources were trusted more than any media source and more than friends. Moreover, living closer to active mining sites-meaning these individuals are at a higher risk of environmental health hazards-predicted even less use of traditional media and greater trust in peer sources. CONCLUSIONS: Not all sources of health information are equally used or trusted by individuals from a rural disparities population. The findings have implications for health campaign message dissemination and intervention designs targeting individuals in rural Appalachia.

Interstitial lung disease in a veterans affairs regional network; a retrospective cohort study.

BACKGROUND: The epidemiology of Interstitial Lung Diseases (ILD) in the Veterans Health Administration (VHA) is presently unknown. RESEARCH QUESTION: Describe the incidence/prevalence, clinical characteristics, and outcomes of ILD patients within the Veteran's Administration Mid-Atlantic Health Care Network (VISN6). STUDY DESIGN AND METHODS: A multi-center retrospective cohort study was performed of veterans receiving hospital or outpatient ILD care from January 1, 2008 to December 31st, 2015 in six VISN6 facilities. Patients were identified by at least one visit encounter with a 515, 516, or other ILD ICD-9 code. Demographic and clinical characteristics were summarized using median, 25th and 75th percentile for continuous variables and count/percentage for categorical variables. Characteristics and incidence/prevalence rates were summarized, and stratified by ILD ICD-9 code. Kaplan Meier curves were generated to define overall survival. RESULTS: 3293 subjects met the inclusion criteria. 879 subjects (26%) had no evidence of ILD following manual medical record review. Overall estimated prevalence in verified ILD subjects was 256 per 100,000 people with a mean incidence across the years of 70 per 100,000 person-years (0.07%). The prevalence and mean incidence when focusing on people with an ILD diagnostic code who had a HRCT scan or a bronchoscopic or surgical lung biopsy was 237 per 100,000 people (0.237%) and 63 per 100,000 person-years respectively (0.063%). The median survival was 76.9 months for 515 codes, 103.4 months for 516 codes, and 83.6 months for 516.31. INTERPRETATION: This retrospective cohort study defines high ILD incidence/prevalence within the VA. Therefore, ILD is an important VA health concern.

How We Do It: Implementing a Virtual, Multi-Institutional Collaborative Education Model for the COVID-19 Pandemic and Beyond.

OBJECTIVE: To describe the implementation of a virtual, multi-institutional educational collaboration involving over 50 general surgery residency programs during the COVID-19 pandemic that enabled enhanced learning for surgical residents despite social-distancing requirements. DESIGN: Description of Virginia Commonwealth University's virtual educational augmentation program and the development of a collaborative teaching network during the coronavirus pandemic. SETTING: This collaboration was initiated by Virginia Commonwealth University's Department of Surgery, Richmond, VA, and grew to include general surgery residency programs from across the nation. PARTICIPANTS: General surgery residents and faculty from Departments of General Surgery were recruited locally via direct emails and nationally via the Association of Program Directors' listserv and Twitter. In total, 52 institutions participated from every part of the country. RESULTS: A virtual, multi-institutional collaborative lecture series was initiated that grew to involve over 50 general surgery residency programs, allowing for daily didactics by experts in their fields during the initial surge of the COVID-19 pandemic, while maintaining social distancing and the provision of essential clinical care. CONCLUSION: A multi-institutional collaboration enabled continued didactic education during the coronavirus pandemic, vastly broadening the expertise, scope and variety available to residents, while decreasing burden on faculty. We believe this can serve as a framework for future multi-institutional collaborations that extend beyond the COVID-19 era.

Evaluating the Reliability and Validity Evidence of the RIME (Reporter-Interpreter-Manager-Educator) Framework for Summative Assessments Across Clerkships.

PURPOSE: The ability of medical schools to accurately and reliably assess medical student clinical performance is paramount. The RIME (reporter-interpreter-manager-educator) schema was originally developed as a synthetic and intuitive assessment framework for internal medicine clerkships. Validity evidence of this framework has not been rigorously evaluated outside of internal medicine. This study examined factors contributing to variability in RIME assessment scores using generalizability theory and decision studies across multiple clerkships, thereby contributing to its internal structure validity evidence. METHOD: Data were collected from RIME-based summative clerkship assessments during 2018-2019 at Virginia Commonwealth University. Generalizability theory was used to explore variance attributed to different facets through a series of unbalanced random-effects models by clerkship. For all analyses, decision (D-) studies were conducted to estimate the effects of increasing the number of assessments. RESULTS: From 231 students, 6,915 observations were analyzed. Interpreter was the most common RIME designation (44.5%-46.8%) across all clerkships. Variability attributable to students ranged from 16.7% in neurology to 25.4% in surgery. D-studies showed the number of assessments needed to achieve an acceptable reliability (0.7) ranged from 7 in pediatrics and surgery to 11 in internal medicine and 12 in neurology. However, depending on the clerkship each student received between 3 and 8 assessments. CONCLUSIONS: This study conducted generalizability- and D-studies to examine the internal structure validity evidence of RIME clinical performance assessments across clinical clerkships. Substantial proportion of variance in RIME assessment scores was attributable to the rater, with less attributed to the student. However, the proportion of variance attributed to the student was greater than what has been demonstrated in other generalizability studies of summative clinical assessments. Overall, these findings support the use of RIME as a framework for assessment across clerkships and demonstrate the number of assessments required to obtain sufficient reliability.

Brief Report: Accuracy of FIB-4 for Cirrhosis in People Living With HIV and Hepatocellular Carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) may develop in the absence of cirrhosis in HIV, and determining how often this occurs can provide insights into mechanisms of carcinogenesis. Studies evaluating the prevalence of cirrhosis in the setting of HCC among people living with HIV (PLWH) often rely on noninvasive markers, such as the Fibrosis-4 Index for Hepatic Fibrosis (FIB-4). However, the accuracy of FIB-4 for cirrhosis in the setting of HCC has not been determined among PLWH. METHODS: We conducted a cross-sectional study among PLWH in the Veterans Aging Cohort Study with VA cancer registry-confirmed HCC diagnosed between 1999 and 2015. FIB-4 was calculated using the age, alanine aminotransferase, aspartate aminotransferase, and platelet count obtained closest to, but within 1 year before, HCC diagnosis. Medical records were reviewed within 1 year before HCC diagnosis to determine the cirrhosis status. We evaluated the area under the receiver-operating characteristic curve and performance characteristics of FIB-4 for confirmed cirrhosis. RESULTS: Incident HCC was diagnosed in 302 PLWH. After medical record review, 203 (67.2%, 95% confidence interval: 61.6% to 72.5%) had evidence of cirrhosis. FIB-4 identified patients with cirrhosis with an area under the receiver-operating characteristic curve of 0.67 (95% confidence interval: 0.60 to 0.73). FIB-4 scores >5.0 had a positive predictive value >80% and specificity of >77%, negative predictive value of <41%, and sensitivity of <45%. CONCLUSION: The accuracy of FIB-4 for cirrhosis in the setting of HIV and HCC is modest and may result in misclassification of cirrhosis in this population.

Are Waterpipe Café, Vape Shop, and Traditional Tobacco Retailer Locations Associated with Community Composition and Young Adult Tobacco Use in North Carolina and Virginia?

PURPOSE: We examined whether waterpipe café, vape shop, and traditional tobacco retailer (e.g. stores selling cigarettes, cigars, smokeless tobacco) locations were associated with census tract composition and tobacco use among young adults in North Carolina and Virginia. Methods: We identified waterpipe cafés, vape shops, and traditional tobacco retailers in North Carolina and Virginia and conducted multivariable analyses between community characteristics (gender, race, ethnicity, education, college enrollment, and poverty) and density per 1000 population. Using fall 2017 data from 1099 young adults residing in North Carolina and Virginia, we conducted logistic regression analyses to determine whether tobacco retailer density and proximity were associated with tobacco use. Results: Waterpipe café, vape shop, and traditional retailer density were higher in communities with more people who were Hispanic, college-educated, and college-enrolled (each p < .05). Waterpipe café and traditional retailer density were higher in communities with more people living below the poverty level (each p < .05). Waterpipe café density was higher in communities with more people who were male (p < .05), while traditional retailer density was lower (p < .05). Waterpipe café and vape shop proximity were associated with increased likelihood of waterpipe tobacco use in the past 6 months (each p < .05; unadjusted). Traditional retailer proximity and waterpipe café, vape shop, and traditional retailer density were not associated with tobacco use. Conclusions: Waterpipe cafés and vape shops are located in both impoverished and college-educated communities in North Carolina and Virginia, similar to where traditional tobacco retailers are located. Further research is needed to examine associations with tobacco use.