The shortfalls of vulnerability indexes for public health decision-making in the face of emergent crises: the case of COVID-19 vaccine uptake in Virginia.

Equitable and effective vaccine uptake is a key issue in addressing COVID-19. To achieve this, we must comprehensively characterize the context-specific socio-behavioral and structural determinants of vaccine uptake. However, to quickly focus public health interventions, state agencies and planners often rely on already existing indexes of "vulnerability." Many such "vulnerability indexes" exist and become benchmarks for targeting interventions in wide ranging scenarios, but they vary considerably in the factors and themes that they cover. Some are even uncritical of the use of the word "vulnerable," which should take on different meanings in different contexts. The objective of this study is to compare four vulnerability indexes produced by private, federal, and state institutions to assess the application of these measures to the needs of the COVID-19 pandemic and other emergent crises. We focus on federal, state, and private industries' vulnerability indexes for the Commonwealth of Virginia. Qualitative comparison is done by considering each index's methodologies to see how and why they defined and measured "vulnerability." We also quantitatively compare them using percent agreement and illustrate the overlaps in localities identified as among the most vulnerable on a choropleth map. Finally, we provide a short case study that explores vaccine uptake in the six localities that were identified by at least three indexes as most vulnerable, and six localities with very low vaccine coverage that were identified by two or fewer indexes as highly vulnerable. By comparing the methodologies and index (dis)agreements, we discuss the appropriateness of using pre-existing vulnerability indexes as a public health decision-making tool for emergent crises, using COVID-19 vaccine uptake as a case study. The inconsistencies reflected by these indexes show both the need for context-specific and time-sensitive data collection in public health and policy response, and a critical critique of measured "vulnerability."

Outcomes of Cancer Patients with COVID-19: The Virginia Commonwealth University Experience.

PURPOSE: The cancer population is significantly impacted by coronavirus disease 2019 (COVID-19) due to inherent risks of infection imposed by malignancy and therapeutic agents. Evaluating risk factors in this group will lead to improved guidelines for the treatment of malignancy in the setting of a COVID-19 pandemic. PATIENTS AND METHODS: This retrospective study reviewed 295 inpatient cancer patients positive for COVID-19 between February 2020 and December 2021 to determine specific risk factors of mortality and associated complications. Various patient characteristics were collected to evaluate outcomes in patient death, oxygen requirement, ventilatory support, and increased length of stay. RESULTS: 31 (10.5%) of 295 patients died due to COVID-19. Of those that died, the majority had hematologic cancer (48.4%). There was no difference in the odds of death among the cancer groups. Those vaccinated had a reduced risk of death (OR 0.04, CI 0-0.23). Patients with lung cancer (OR 3.69, CI 1.13-12.31), obesity (OR 3.27, CI 1.18-9.27), CHF (OR 2.68, CI 1.07-6.89) were more likely to require ventilation. Those treated with hormonal therapy had higher odds of having a prolonged admission (OR 5.04, CI 1.17-2.53). Otherwise, cancer therapy had no significant difference in any outcome. CONCLUSION: The mortality rate of cancer patients was 10.5%, lower than in other studies. Vaccinations had mortality benefits, but no effect on hypoxia, ventilator use, or LOS. Delaying cancer therapy during peak infection is likely not necessary based on the results of this study. With improved knowledge in the risks of infection and the utility of personalized precautions, both providers and patients can better prepare for another potential wave of COVID-19.

COVID-19 non-pharmaceutical interventions: data annotation for rapidly changing local policy information.

Understanding the scope, prevalence, and impact of the COVID-19 pandemic response will be a rich ground for research for many years. Key to the response to COVID-19 was the non-pharmaceutical intervention (NPI) measures, such as mask mandates or stay-in-place orders. For future pandemic preparedness, it is critical to understand the impact and scope of these interventions. Given the ongoing nature of the pandemic, existing NPI studies covering only the initial portion provide only a narrow view of the impact of NPI measures. This paper describes a dataset of NPI measures taken by counties in the U.S. state of Virginia that include measures taken over the first two years of the pandemic beginning in March 2020. This data enables analyses of NPI measures over a long time period that can produce impact analyses on both the individual NPI effectiveness in slowing the pandemic spread, and the impact of various NPI measures on the behavior and conditions of the different counties and state.

Disparities in opioid use disorder-related hospital use among postpartum Virginia Medicaid members.

INTRODUCTION: The overdose crisis is increasingly revealing disparities in opioid use disorder (OUD) outcomes by race and ethnicity. Virginia, like other states, has witnessed drastic increases in overdose deaths. However, research has not described how the overdose crisis has impacted pregnant and postpartum Virginians. We report the prevalence of OUD-related hospital use during the first year postpartum among Virginia Medicaid members in the years preceding the COVID-19 pandemic. We secondarily assess how prenatal OUD treatment is associated with postpartum OUD-related hospital use. METHODS: This population-level retrospective cohort study used Virginia Medicaid claims data for live infant deliveries between July 2016 and June 2019. The primary outcome of OUD-related hospital use included overdose events, emergency department visits, and acute inpatient stays. Independent variables of interest were prenatal receipt of medication for OUD (MOUD) and receipt of non-MOUD treatment components in line with a comprehensive care approach (e.g., case management, behavioral health). Both descriptive and multivariate analyses were performed for all deliveries and stratified by White and Black non-Hispanic individuals to bring attention to the devastating impacts of the overdose crisis within communities of color. RESULTS: The study sample included 96,649 deliveries. Over a third were by Black birthing individuals (n = 34,283). Prenatally, 2.5 % had evidence of OUD, which occurred more often among White (4 %) than Black (0.8 %) non-Hispanic birthing individuals. Postpartum OUD-related hospital use occurred in 10.7 % of deliveries with OUD, more commonly after deliveries by Black, non-Hispanic birthing individuals with OUD (16.5 %) than their White, non-Hispanic counterparts (9.7 %), and this disparity persisted in the multivariable analysis (Black AOR 1.64, 95 % CI 1.14-2.36). Postpartum OUD-related hospital events were less frequent for individuals receiving versus not receiving postpartum MOUD within 30 days prior to the event. Prenatal OUD treatment, including MOUD, was not associated with decreased odds of postpartum OUD-related hospital use in the race-stratified models. CONCLUSION: Postpartum individuals with OUD are at high risk for mortality and morbidity, especially Black individuals not receiving MOUD after delivery. An urgent need remains to effectively address the systemic and structural drivers of racial disparities in transitions of OUD care through the one-year postpartum period.

An exploratory study of COVID-19-related changes in abortion service availability and use in Washington, DC, Maryland, and Virginia.

OBJECTIVES: This exploratory study aimed to assess COVID-19-related changes in abortion service availability and use in Washington, DC, Maryland, and Virginia. DESIGN: Data came from a convenience sample of eight abortion clinics in this region. We implemented a cross-sectional survey and collected retrospective aggregate monthly abortion data overall and by facility type, abortion type, and patient characteristics for March 2019-August 2020. We evaluated changes in the distribution of the total number of patients for March-August in 2019 compared to March-August 2020. We also conducted segmented regression analyses and produced scatter plots of monthly abortion patients overall and by facility type, abortion type, and patient characteristics, with separate fitted regression lines from the segmented regression models for the pre- and during-COVID-19 periods. RESULTS: Five clinics reported a reduced number of appointments early in the pandemic while four reported increased call volume. There were declines in the monthly abortion trend at hospital-based clinics at the outset of the pandemic. Monthly number of medication abortions increased from March 2020 through August 2020 compared to pre-COVID-19 trends while instrumentation abortions 11 up to 19 weeks decreased. The share of abortions to Black individuals increased during the early phase of the pandemic, as did the monthly trend in abortions among this group. We also saw changes in payment type, with declines in patients paying out-of-pocket. CONCLUSIONS: Results revealed differences in abortion services, numbers, and types during the early stages of the COVID-19 pandemic in Washington, DC, Maryland, and Virginia.

SARS-CoV-2 vaccine breakthrough infections in Virginia, January 17, 2021 - June 30, 2021.

As COVID-19 vaccines moved from the controlled environment of clinical trials to use in real-world settings, it has been important to evaluate vaccine effectiveness. A retrospective cohort study was designed to identify cases of SARS-CoV-2 infection that occurred between January 17-June 30, 2021 in fully vaccinated Virginia residents. Of the fully vaccinated population of Virginia at the end of the study period (N = 4,271,505), 2445 (0.057 %) were reported to have experienced a vaccine breakthrough infection. Of those, 183 (7.5 %) were reported to have been hospitalized for COVID-19 and 53 (2.2 %) died from COVID-19. There were significant differences in vaccine effectiveness over time between both mRNA vaccines and the Janssen vaccine. Increasing age, pre-existing medical conditions, and male sex were associated with severe outcomes (hospitalization or death). Persons at greater risk for severe outcomes should continue to take precautions to prevent SARS-CoV-2 infection, even if fully vaccinated.

Insights and Innovation: How a Local Public-Private Partnership is Building Home Care.

Recent national reports asserted an urgent imperative for transforming working conditions for the direct care workforce in the US. These clarion reports identified key influencers in reform as federal and state governments, workers' unions and coalitions, individual and organizational employers. Equally essential and well-positioned local actors have been overlooked in the conversation-namely, municipalities, area agencies on aging, higher education, philanthropic entities, and community. Although deemed "essential," direct care workers have been disproportionately affected by the COVID-19 pandemic. This paper examines an early public-private partnership initiative designed to recruit and train PCAs in Virginia.

The association of demographic and socioeconomic factors with COVID-19 during pre- and post-vaccination periods: A cross-sectional study of Virginia.

Sociodemographic factors have been found to be associated with the transmission of coronavirus disease 2019 (COVID-19), yet most studies focused on the period before the proliferation of vaccination and obtained inconclusive results. In this cross-sectional study, the infections, deaths, incidence rates, case fatalities, and mortalities of Virginia's 133 jurisdictions during the pre-vaccination and post-vaccination periods were compared, and their associations with demographic and socioeconomic factors were studied. The cumulative infections and deaths and medians of incidence rates, case fatalities, and mortalities of COVID-19 in 133 Virginia jurisdictions were significantly higher during the post-vaccination period than during the pre-vaccination period. A variety of demographic and socioeconomic risk factors were significantly associated with COVID-19 prevalence in Virginia. Multiple linear regression analysis suggested that demographic and socioeconomic factors contributed up to 80% of the variation in the infections, deaths, and incidence rates and up to 53% of the variation in the case fatalities and mortalities of COVID-19 in Virginia. The demographic and socioeconomic determinants differed during the pre- and post-vaccination periods. The developed multiple linear regression models could be used to effectively characterize the impact of demographic and socioeconomic factors on the infections, deaths, and incidence rates of COVID-19 in Virginia.

Cross-Institutional Evaluation of the Abbott ARCHITECT SARS-CoV-2 IgG Immunoassay.

OBJECTIVE: To describe a cross-institutional approach to verify the Abbott ARCHITECT SARS-CoV-2 antibody assay and to document the kinetics of the serological response. METHODS: We conducted analytical performance evaluation studies using the Abbott ARCHITECT SARS-CoV-2 antibody assay on 5 Abbott ARCHITECT i2000 automated analyzers at 2 academic medical centers. RESULTS: Within-run and between-run coefficients of variance (CVs) for the antibody assay did not exceed 5.6% and 8.6%, respectively, for each institution. Quantitative and qualitative results agreed for lithium heparin plasma, EDTA-plasma and serum specimen types. Results for all SARS-CoV-2 IgG-positive and -negative specimens were concordant among analyzers except for 1 specimen at 1 institution. Qualitative and quantitative agreement was observed for specimens exchanged between institutions. All patients had detectable antibodies by day 10 from symptom onset and maintained seropositivity throughout specimen procurement. CONCLUSIONS: The analytical performance characteristics of the Abbott ARCHITECT SARS-CoV-2 antibody assay within and between 2 academic medical center clinical laboratories were acceptable for widespread clinical-laboratory use.

The COVID-19 impacts on bikeshare systems in small rural communities: Case study of bikeshare riders in Montgomery County, VA.

The shared and micro-mobility industry (ride sharing and hailing, carpooling, bike and e-scooter shares) saw direct and almost immediate impacts from COVID-19 restrictions, orders and recommendations from local governments and authorities. However, the severity of that impact differed greatly depending on variables such as different government guidelines, operating policies, system resiliency, geography and user profiles. This study investigated the impacts of the pandemic regarding bike-share travel behavior in Montgomery County, VA. We used bike-usage dataset covering two small towns in Montgomery county, namely: Blacksburg and Christiansburg, including Virginia Tech campus. The dataset used covers the period of Jan 2019-Dec 2021 with more than 14,555 trips and 5,154 active users. Findings indicated that a bikeshare user's average trip distance and duration increased in 2020 (compared to 2019) from 2+ miles to 4+ and from half an hour to about an hour. While there was a slight drop in 2021, bikeshare users continued to travel farther distances and spend more time on the bikes than pre-COVID trips. When those averages were unpacked to compare weekday trips to weekend trips, a few interesting trip patterns were observed. Unsurprisingly, more trips still took place on the weekends (increasing from 2x as many trips to 4x as many trips than the weekday). These findings could help to better understand traveler's choices and behavior when encountering future pandemics.

Changes in hospitalized coronavirus disease 2019 (COVID-19) patient characteristics and resource use in a system of community hospitals in the United States.

Coronavirus disease 2019 (COVID-19) has migrated to regions that were initially spared, and it is likely that different populations are currently at risk for illness. Herein, we present our observations of the change in characteristics and resource use of COVID-19 patients over time in a national system of community hospitals to help inform those managing surge planning, operational management, and future policy decisions.

Effectiveness of Coronavirus Disease 2019 (COVID-19) mRNA Vaccines Against Infection During an Outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Beta (B.1.351) Variant in a Skilled Nursing Facility: Virginia, March-April 2021.

In April 2021, we assessed mRNA vaccine effectiveness (VE) in the context of a COVID-19 outbreak in a skilled nursing facility. Among 28 cases, genomic sequencing was performed on 4 specimens on 4 different patients, and all were classified by sequence analysis as the Beta (B.1.351) variant. Adjusted VE among residents was 65% (95% confidence interval: 25-84%). These findings underscore the importance of vaccination for prevention of COVID-19 in skilled nursing facilities.

Virginia Medicaid Expansion: New Members Report Reduced Financial Concerns During The COVID-19 Pandemic.

Medicaid is a critical antipoverty program. Since the Affordable Care Act expanded Medicaid eligibility, millions of newly eligible people have enrolled, creating positive financial improvements for low-income families. We examined the association of Virginia's 2019 Medicaid expansion and changes in health care-related and non-health-care-related financial needs among newly eligible Medicaid enrollees. Our unique survey collected responses between December 2018 and April 2019 from newly enrolled members reporting on experiences in the year before enrollment and between July 2020 and May 2021 from members reporting on experiences one year after enrollment. The follow-up period coincided with the COVID-19 pandemic. Medicaid enrollment was associated with decreases in concern about all financial needs assessed: housing, food, monthly bills, credit card and loan payments, and health care costs. These reductions were broadly similar across demographic subgroups and across the months of the pandemic that overlapped with the follow-up period. We add to the evidence that Medicaid expansion is a social safety-net policy that could improve equity among low-income families, potentially encouraging states that have yet to expand to do so.

COVID-19 impacts on abortion care-seeking experiences in the Washington, DC, Maryland, and Virginia regions of the United States.

CONTEXT: Many people wanted to avoid or delay childbearing during the COVID-19 pandemic. This study sought to examine the extent COVID-19 influenced abortion care-seeking in a region that did not enact policy restricting abortion due to the pandemic, has high service availability, and few abortion-restrictive policies. METHODOLOGY: We conducted telephone surveys with adults (n=72) requesting abortion appointments between September 2020 and March 2021 at five clinics in Washington, DC, Maryland, and Virginia. We used χ2 tests to compare sociodemographic, reproductive history, service delivery characteristics, and pandemic-related life changes by whether COVID-19 influenced abortion care-seeking. RESULTS: Most respondents (93%) had an abortion at the time of the survey, 4% were awaiting their scheduled appointment, and 3% did not have an appointment scheduled. Nearly 40% of people reported COVID-19 influenced their decision to have an abortion. These individuals were significantly more likely to report "not financially prepared" (44% vs. 16%) as a reason for termination compared to people reporting no influence of COVID-19. They were also more likely to have lost or changed their health insurance due to pandemic-related employment changes (15% vs. 2%), report substantial money difficulties due to COVID-19 (59% vs. 33%), and report that paying for their abortion was "very difficult" (25% vs. 2%). CONCLUSION: COVID-19 influenced many people to have an abortion, particularly those financially disadvantaged by the pandemic. Expansion of Medicaid abortion coverage in Washington, DC and Virginia could reduce financial barriers to care and help people to better meet their reproductive needs amid future crises.

How social distancing, mobility, and preventive policies affect COVID-19 outcomes: Big data-driven evidence from the District of Columbia-Maryland-Virginia (DMV) megaregion.

Many factors play a role in outcomes of an emerging highly contagious disease such as COVID-19. Identification and better understanding of these factors are critical in planning and implementation of effective response strategies during such public health crises. The objective of this study is to examine the impact of factors related to social distancing, human mobility, enforcement strategies, hospital capacity, and testing capacity on COVID-19 outcomes within counties located in District of Columbia as well as the states of Maryland and Virginia. Longitudinal data have been used in the analysis to model county-level COVID-19 infection and mortality rates. These data include big location-based service data, which were collected from anonymized mobile devices and characterize various social distancing and human mobility measures within the study area during the pandemic. The results provide empirical evidence that lower rates of COVID-19 infection and mortality are linked with increased levels of social distancing and reduced levels of travel-particularly by public transit modes. Other preventive strategies and polices also prove to be influential in COVID-19 outcomes. Most notably, lower COVID-19 infection and mortality rates are linked with stricter enforcement policies and more severe penalties for violating stay-at-home orders. Further, policies that allow gradual relaxation of social distancing measures and travel restrictions as well as those requiring usage of a face mask are related to lower rates of COVID-19 infections and deaths. Additionally, increased access to ventilators and Intensive Care Unit (ICU) beds, which represent hospital capacity, are linked with lower COVID-19 mortality rates. On the other hand, gaps in testing capacity are related to higher rates of COVID-19 infection. The results also provide empirical evidence for reports suggesting that certain minority groups such as African Americans and Hispanics are disproportionately affected by the COVID-19 pandemic.

A Preliminary Evaluation of Virginia Fresh Match: Impacts and Demographic Considerations for Future Fruit and Vegetable Incentive Programs.

The purpose of this communication is to describe the preliminary evaluation of the Virginia Fresh Match (VFM) financial incentive program for fresh fruits and vegetables for Virginia Supplemental Nutrition Assistance Program shoppers and to determine if there were differences in incentive outcomes by race. In this cross-sectional study, a questionnaire was administered to shoppers using Virginia Fresh Match incentives at participating farmers markets and community-based food retail outlets. Repeated measures ANOVAs were used to detect differences in fruit and vegetable consumption between demographic groups over time. Chi-square tests were used to determine if there were associations between race and perceived impact of VFM incentives on making food last and the attribution of VFM incentives to changes in fruit and vegetable consumption frequency. Frequency of fruit and vegetable intake was significantly higher during VFM incentive use, with a difference of 1.17 ± 0.07 and 1.07 ± 0.07 on a Likert scale measure, respectively (p ≤ 0.001). There were racial differences in assertions that VFM incentives helped food to last. VFM incentives were effective at increasing fruit and vegetable consumption, but racial differences should be considered in the administration of VFM to avoid reinforcing systems or approaches that may contribute to disparities in food access and food security.

School-Based Health Services in Virginia and the COVID-19 Pandemic.

BACKGROUND: Schools have a long history of delivering health services, but it is unclear how the COVID-19 pandemic may have disrupted this. This study examined changes in school-based health services and student needs before and during the pandemic and the factors important for delivering school-based health services. METHODS: A web-based survey regarding the impact of the pandemic on school-based health services was distributed via email to all 1178 Virginia public elementary schools during May 2021. RESULTS: Responding schools (N = 767, response rate = 65%) reported providing fewer school-based health services during the 2020-2021 school year than before the pandemic, with the largest declines reported for dental screenings (51% vs 15%) and dental services (40% vs 12%). Reports show that mental health was a top concern for students increased from 15% before the pandemic to 27% (P < .001). Support from families and school staff were identified by most respondents (86% and 83%, respectively) as very important for the delivery of school-based health services. CONCLUSIONS: Schools reported delivering fewer health services to students during the 2020-2021 school year and heightened concern about students' mental health. Understanding what schools need to deliver health services can assist state and local education and health officials and promote child health.

COVID-19 Isolation and Quarantine Experience for Residential Students at a Large Four-Year Public University.

Rapid identification and management of students with COVID-19 symptoms, exposure, or disease are critical to halting disease spread and protecting public health. We describe the interdisciplinary isolation and quarantine program of a large, public university, the University of Virginia, Charlottesville. The program provided students with wraparound services, including medical, mental health, academic, and other support services during their isolation or quarantine stay. The program successfully accommodated 844 cases during the fall 2020 semester, thereby decreasing exposure to the rest of the university and the local community. (Am J Public Health. 2021;111(10):1772-1775. https://doi.org/10.2105/AJPH.2021.306424).