School Closure and Child Maltreatment During the COVID-19 Pandemic.

It is not known how school closure affected child maltreatment. We conducted a retrospective cohort, linear mixed-models study of 133 counties (comprising 8,582,479 children) in Virginia between 2018 and 2021. Exposure was the opening of schools at least 2 days a week. Outcomes were referrals and incidence of child maltreatment reported to the Department of Social Services. In 2020-2021, there were descriptively more referrals (in-person: 50.9 per 10,000 [95% CI: 47.9, 54.0]; virtual: 45.8 per 10,000 [95% CI: 40.7, 50.9]) and incidence (in-person: 3.7 per 10,000 [95% CI: 3.3, 4.2]; virtual: 2.9 per 10,000 [95% CI: 2.3, 3.5]) of child maltreatment in counties with in-person schooling, though these differences did not reach statistical significance. The referral rate variations (between pandemic and pre-pandemic eras) of counties with in-person schooling was significantly greater than rate changes in counties with virtual schooling during the summer period. There were no differences in incidence in any quarter. Higher poverty within a county was associated with both higher referrals and incidence. Our findings suggest that child maltreatment is driven primarily by underlying differences in counties (namely, poverty) rather than the type of schooling children receive.

Increased Organizational Stress in Primary Care: Understanding the Impact of the COVID-19 Pandemic, Medicaid Expansion, and Practice Ownership.

BACKGROUND: Primary care is the foundation of health care, resulting in longer lives and improved equity. Primary care was the frontline of the COVID-19 pandemic public response and essential for access to care. Yet primary care faces substantial structural and systemic challenges. As part of a longitudinal analysis to track the capacity and health of primary care, we surveyed every primary care practice in Virginia in 2018 and again in 2022. METHODS: Surveys were emailed or mailed up to 6 times and nonresponders received a phone call. Questions assessed organizational characteristics, scope of care, capacity, and organizational stress in the prior year. From respondents, 39 clinicians, nurses, staff, administrators, and practice managers were interviewed. RESULTS: 526 out of 2296 primary care practices (23% response rate) completed the survey, with broad representation across geography, ownership, and payer mix. Compared with 2018, in 2022 there were increases in practices owned by health systems (25% vs 43%, P < .0001) and average percent of patients with Medicaid per practice (12% vs 22%, P < .0001). The percent of practices reporting any major stressor increased from 34% to 53% (P < .0001). The main increased stress was losing a clinician, with 13% of practices in 2018 versus 42% in 2022 reporting losing a clinician (P < .0001). CONCLUSIONS: Primary care practices are resilient and continue to serve their communities, including a broad scope of services and care for underserved people. However, the COVID-19 pandemic caused significant stress. With an increase in clinicians leaving clinical practice, we anticipate worsening access to primary care.

Neighborhood Predictors of Poor Prenatal Care and Well-Child Visit Attendance.

PURPOSE: Women and children continue to miss preventive visits. Which neighborhood factors predict inadequate prenatal care (PNC) and well-child visit (WCV) attendance remain unclear. DESCRIPTION: In a retrospective case-control study at Virginia Commonwealth University Health System, mothers with less than 50% adherence or initiation after 5 months gestation were eligible as cases and those with ≥ 80% adherence and initiation before 5 months were eligible as controls. Children in the lowest quintile of adherence were eligible as cases and those with ≥ 80% of adherence were eligible as controls. Cases and controls were randomly selected at a 1:2 ratio and matched on birth month. Covariates were derived from the 2018 American Community Survey. A hotspot was defined as a zip code tabulation area (ZCTA) with a proportion of controls less than 0.66. ZCTAs with fewer than 5 individuals were excluded. Weighted quantile regression was used to determine which covariates were most associated with inadequate attendance. ASSESSMENT: We identified 38 and 35 ZCTAs for the PNC and WCV analyses, respectively. Five of 11 hotspots for WCV were also hotspots for PNC. Education and income predicted 51% and 34% of the variation in missed PNCs, respectively; language, education and transportation difficulties explained 33%, 29%, and 17% of the variation in missed WCVs, respectively. Higher proportions of Black residents lived in hotspots of inadequate PCV and WCV attendance. CONCLUSION: Neighborhood-level factors performed well in predicting inadequate PCV and WCV attendance. The disproportionate impact impact of inadequate PCV and WCV in neighborhoods where higher proportions of Black people lived highlights the potential influence of systemic racism and segregation on healthcare utilization.

Rising Racial Disparities in Opioid Mortality and Undertreatment of Opioid Use Disorder and Mental Health Comorbidities in Virginia.

Introduction: There were more than 100,000 fatal drug overdoses in the U.S. in 2021 alone. In recent years, there has been a shift in opioid mortality from predominantly White rural communities to Black urban communities. This study aimed to identify the Virginia communities disproportionately affected by the overdose crisis and to better understand the systemic factors contributing to disparities in opioid mortality. Methods: Using the state all-payer claims database, state mortality records, and census data, we created a multivariate model to examine the community-level factors contributing to racial disparities in opioid mortality. We used generalized linear mixed models to examine the associations between socioecologic factors and fatal opioid overdoses, opioid use disorder diagnoses, opioid-related emergency department visits, and mental health diagnoses. Results: Between 2015 and 2020, racial disparities in mortality widened. In 2020, Black males were 1.5 times more likely to die of an opioid overdose than White males (47.3 vs 31.6 per 100,000; p<0.001). The rate of mental health disorders strongly correlated with mortality (ß=0.53, p<0.001). Black individuals are not more likely to be diagnosed with opioid use disorder (ß=0.01, p=0.002) or with mental health disorders (ß= -0.12, p<0.001), despite higher fatal opioid overdoses. Conclusions: There are widening racial disparities in opioid mortality. Untreated mental health disorders are a major risk factor for opioid mortality. Findings show pathways to address inequities, including early linkage to care for mental health and opioid use disorders. This analysis shows the use of comprehensive socioecologic data to identify the precursors to fatal overdoses, which could allow earlier intervention and reallocation of resources in high-risk communities.

Association Between Partisan Affiliation of State Governments and State Mortality Rates Before and During the COVID-19 Pandemic.

Policy Points The increasing political polarization of states reached new heights during the COVID-19 pandemic, when response plans differed sharply across party lines. This study found that states with Republican governors and larger Republican majorities in legislatures experienced higher death rates during the COVID-19 pandemic-and in preceding years-but these associations often lost statistical significance after adjusting for the average income and health status of state populations and for the policy orientations of the states. Future research may help clarify whether the higher death rates in these states result from policy choices or have other explanations, such as the tendency of voters with lower incomes or poorer health to elect Republican candidates. CONTEXT: Increasing polarization of states reached a high point during the COVID-19 pandemic, when the party affiliation of elected officials often predicted their policy response. The health consequences of these divisions are unclear. Prior studies compared mortality rates based on presidential voting patterns, but few considered the partisan orientation of state officials. This study examined whether the partisan orientation of governors or legislatures was associated with mortality outcomes during the COVID-19 pandemic. METHODS: Data on deaths and the partisan orientation of governors and legislators were obtained from the Centers for Disease Control and Prevention and the National Conference of State Legislatures, respectively. Linear regression was used to measure the association between Republican representation (percentage of seats held) in legislatures and (1) age-adjusted, all-cause mortality rates (AAMRs) in 2015-2021 and (2) excess death rates during three phases of the COVID-19 pandemic, controlling for median household income, the prevalence of four risk factors (obesity, chronic obstructive pulmonary disease, heart attack, stroke), and state policy orientation. Associations between excess death rates and the governor's party were also examined. FINDINGS: States with Republican governors or greater Republican representation in legislatures experienced higher AAMRs during 2015-2021, lower excess death rates during Phase 1 of the COVID-19 pandemic (weeks ending March 28, 2020, through June 13, 2020), and higher excess death rates in Phases 2 and 3 (weeks ending June 20, 2020, through April 30, 2022; p < 0.05). Most associations lost statistical significance after adjustment for control variables. CONCLUSIONS: Mortality was higher in states with Republican governors and greater Republican legislative representation before and during much of the pandemic. Observed associations could be explained by the adverse effects of policy choices, reverse causality (e.g., popularity of Republican candidates in states with lower socioeconomic and health status), or unmeasured factors that predominate in states with Republican leaders.

Trends in Antiseizure Medication Prescribing Among Nursing Home Residents With and Without a Seizure Diagnosis.

OBJECTIVES: Evaluate current prevalence and changes in prescribing of antiseizure medications (ASMs) in Virginia nursing homes for residents with and without seizures. METHODS: Retrospective cohort. De-identified claims extracted from the Virginia All-Payers-Claims-Database defined annual and biennial cohorts of all insured long-stay residents with and without any claims-based seizure diagnoses. ASM prescribing prevalence rates for these cohorts were analyzed from 2011 to 2016. Multiple logistic regression compared prescribing prevalence rates within and between these 2 groups. RESULTS: Annual cohorts averaged 57,190. 65.6% Female, 38% white. 80% public insurance, 20% commercial secondary. Between 2011 and 2016, the claims-based prevalence of seizure diagnoses decreased (17.1% to 10.5%). However, ASM prescribing prevalence increased (10.4% to 11.6%). Increases were entirely among residents who never had any seizure-epilepsy claim, whereas ASM prescribing among residents with seizures decreased. Different drugs were used for patients with and without seizures. For residents without seizures, 85% of ASMs prescribed have alternative indications for mood or pain symptoms, and large gains in gabapentin and modest but significant increases in valproate, lamotrigine, carbamazepine, and topiramate prescribing were detected. Among residents with seizures, ASMs without alternative indications were more common (59%), with marked reductions in phenobarbital and phenytoin but significant increases in levetiracetam and lacosamide use observed. CONCLUSIONS: Long-stay ASM use is changing. ASM gains are unrelated to seizure-epilepsy prevalence. ASM prescribing increased only among residents without seizures, where ASMs with expanded indications were preferred. Long-stay ASM prescribing and prescribing indication should be included in mandatory CMS reporting similar to other CNS-active medications.

Recent innovations in adaptive trial designs: A review of design opportunities in translational research.

Clinical trials are constantly evolving in the context of increasingly complex research questions and potentially limited resources. In this review article, we discuss the emergence of "adaptive" clinical trials that allow for the preplanned modification of an ongoing clinical trial based on the accumulating evidence with application across translational research. These modifications may include terminating a trial before completion due to futility or efficacy, re-estimating the needed sample size to ensure adequate power, enriching the target population enrolled in the study, selecting across multiple treatment arms, revising allocation ratios used for randomization, or selecting the most appropriate endpoint. Emerging topics related to borrowing information from historic or supplemental data sources, sequential multiple assignment randomized trials (SMART), master protocol and seamless designs, and phase I dose-finding studies are also presented. Each design element includes a brief overview with an accompanying case study to illustrate the design method in practice. We close with brief discussions relating to the statistical considerations for these contemporary designs.

Use of population health data to promote equitable recruitment for a primary care practice implementation trial addressing unhealthy alcohol use.

Background: Recruiting underrepresented people and communities in research is essential for generalizable findings. Ensuring representative participants can be particularly challenging for practice-level dissemination and implementation trials. Novel use of real-world data about practices and the communities they serve could promote more equitable and inclusive recruitment. Methods: We used a comprehensive primary care clinician and practice database, the Virginia All-Payers Claims Database, and the HealthLandscape Virginia mapping tool with community-level socio-ecological information to prospectively inform practice recruitment for a study to help primary care better screen and counsel for unhealthy alcohol use. Throughout recruitment, we measured how similar study practices were to primary care on average, mapped where practices' patients lived, and iteratively adapted our recruitment strategies. Results: In response to practice and community data, we adapted our recruitment strategy three times; first leveraging relationships with residency graduates, then a health system and professional organization approach, followed by a community-targeted approach, and a concluding approach using all three approaches. We enrolled 76 practices whose patients live in 97.3% (1844 of 1907) of Virginia's census tracts. Our overall patient sample had similar demographics to the state for race (21.7% vs 20.0% Black), ethnicity (9.5% vs 10.2% Hispanic), insurance status (6.4% vs 8.0% uninsured), and education (26.0% vs 32.5% high school graduate or less). Each practice recruitment approach uniquely included different communities and patients. Discussion: Data about primary care practices and the communities they serve can prospectively inform research recruitment of practices to yield more representative and inclusive patient cohorts for participation.

Rapid induction onto extended-release injectable buprenorphine following opioid overdose: A case series.

Background: Buprenorphine treatment has been associated with reduced non-prescribed opioid use and opioid related overdose (OD). We evaluated initial outcomes of rapid induction onto extended-release injectable buprenorphine (BUP-XR) within 7 days of emergency department presentation for unintentional OD. Methods: Between February 2019-February 2021, N = 19 patients with opioid use disorder received buprenorphine/naloxone (4/1 mg), followed by BUP-XR (300 mg) at induction and continued BUP-XR outpatient for 6 months. Primary outcomes included adverse events, repeat OD, and death. Results: For patients who received at least one dose of BUP-XR, there were no treatment related serious adverse events or symptoms of precipitated withdrawal. In addition, there were no repeat visits for ODs or deaths within 6 months of the initial OD. Discussion: These preliminary findings support the need for larger controlled clinical trials to examine the safety and efficacy of rapid induction of BUP-XR in patients with opioid use disorder at high risk of opioid OD. Rapid induction onto long-lasting injectable buprenorphine may be a promising and protective treatment approach in the future.

Cell-free next-generation sequencing impacts diagnosis and antimicrobial therapy in immunocompromised hosts: A retrospective study.

BACKGROUND: Cell-free next-generation sequencing (cfNGS) may have a unique role in the diagnosis of infectious complications in immunocompromised hosts. The rapid turnaround time and non-invasive nature make it a promising supplement to standard of care. METHODS: This retrospective, observational single-center study at a tertiary care medical center in Virginia investigated the use of cfNGS in clinical practice. Patients over age 18 years with cfNGS performed for any indication were included. The primary outcome was detection of bacteria and/or fungi on cfNGS. The secondary outcomes were concordance, and abundance of fungal and bacterial organism concentration detected over time from symptom onset, and clinical impact. RESULTS: Thirty-six patients (92% immunosuppressed) were identified and included. Twenty-one (58%) tests detected one to five organisms (14/21 bacteria, 8/21 fungi, and 6/21 viruses). The clinical impact of cfNGS was positive in 52.8% of cases, negative in 2.8%, and negligible in 44.4%. Positive tests prompted therapy changes in 12 of 21 patients; six of 20 bacteria and seven of eight fungi identified were considered clinically pathogenic. Three bacteria identifications and six fungi identifications prompted targeted treatment. When fungal species were not identified by cNFGS, antifungal de-escalation occurred in seven patients. CONCLUSION: cfNGS assisted in critical management changes, including initiation of treatment for identified organisms and antimicrobial de-escalation. Its non-invasive nature and rapid turnaround time make this an important adjunct to standard of care testing that may assist in providing earlier, targeted therapy, especially when opportunistic pathogens remain high on the differential diagnosis.

Sociodemographic and Clinical Factors Associated With Radiation Treatment Nonadherence and Survival Among Rural and Nonrural Patients With Cancer.

PURPOSE: Cancer treatment nonadherence is associated with higher rates of cancer recurrence and decreased survival. Rural patients with cancer experience a 10% higher mortality rate compared with their nonrural counterparts; geographic differences in nonadherence may contribute to this increased mortality. The goal of this study was to assess for geographic disparities and determine sociodemographic and clinical factors associated with radiation therapy (RT) nonadherence and survival among rural and nonrural patients with cancer. METHODS AND MATERIALS: We examined cancer registry, medical records, and billing claims data at a safety net academic medical center. Geographic residence was defined as rural versus nonrural by US Department of Agriculture 2013 Rural-Urban Continuum Codes. Other factors assessed were age, sex, race, marital status, insurance type, employment, area median household income, residential distance to cancer treatment center, clinical stage, cancer type, treatment modality, total radiation dose received, and radiation dose per fraction. We used Cox proportional hazards modeling to examine 7 ways of operationalizing nonadherence and selected the definition that resulted in the best model fit statistics and prediction of mortality. Overall survival rates were estimated with the Kaplan-Meier method. We then examined nonadherence as the main exposure along with additional covariates in least absolute shrinkage and selection operator penalized survival analyses and as the outcome in our multivariable generalized linear regression analyses predicting nonadherence. We considered 2-way interaction terms with the main exposure, geographic residence. RESULTS: We identified 3,077 patients with cancer who averaged 62 years old, were 59% female, 34% Black, and 14% rural. Twenty-two percent of patients missed at least 2 fractions and missed an average of 10% of their treatment plan. Rural patients experienced a higher mortality rate than nonrural patients (53% vs 42%, P < .0001). Survival was assessed through December 31, 2021, with a mean follow-up of 4.5 years. Proportion of missed fractions as the indicator of nonadherence provided the best model fit statistics and prediction of survival. Marital status, employment status, tumor, nodes, metastases stage, cancer type, and age at diagnosis significantly affected survival, in addition to a treatment delay by geographic residence interaction effect. Specifically, patients residing in rural areas who experienced a treatment delay were more than twice as likely to die as nonrural residents who also experienced a treatment delay, and nearly twice as likely to die as rural residents who did not experience a treatment delay. The 2-year survival rate was 76% for nonrural residents who did not experience a treatment delay versus 27% for rural residents who experienced a treatment delay. Patients who were widowed, had stage 4 cancer, or lung cancer were more likely to be nonadherent. Finally, patients residing in rural areas who experienced a treatment delay were more likely to subsequently be nonadherent. CONCLUSIONS: In a geographically and racially diverse population, RT nonadherence is a significant concern that affects survival, yet it is a modifiable risk factor. We demonstrated that rural residence was associated with both RT nonadherence and poorer overall survival. Rural patients with a treatment delay had the lowest overall survival, compared with both nonrural survivors and rural survivors without delay. Rural residents who are delayed in starting treatment are at heightened risk for poor outcomes and should receive targeted support to mitigate the observed disparities. Additional patient populations that may benefit from targeted treatment adherence support include widowed patients and those with stage 4 cancer or lung cancer.

High dose valacyclovir for cytomegalovirus prophylaxis following allogeneic hematopoietic cell transplantation.

INTRODUCTION: Cytomegalovirus (CMV) is one of the most common and clinically significant viral infections following allogeneic hematopoietic cell transplantation (HCT). Currently available options for CMV prophylaxis and treatment present challenges related to side effects and cost. METHODS: In this retrospective medical record review, the incidence of clinically significant CMV infection (CMV disease or reactivation requiring preemptive treatment) following allogeneic HCT was compared in patients receiving valacyclovir 1 g three times daily versus acyclovir 400 mg every 12 h for viral prophylaxis. RESULTS: Forty-five patients who received valacyclovir were matched based on propensity scoring to 35 patients who received acyclovir. All patients received reduced-intensity conditioning regimens containing anti-thymocyte globulin. Clinically significant CMV infection by day + 180 was lower in the valacyclovir group compared to the acyclovir group (18% vs. 57%, p = 0.0004). Patients receiving valacyclovir prophylaxis also had less severe infection evidenced by a reduction in CMV disease, lower peak CMV titers, delayed CMV reactivation, and less secondary neutropenia. CONCLUSION: Prospective evaluation of valacyclovir 1 g three times daily for viral prophylaxis following allogeneic HCT is warranted. Due to valacyclovir's favorable toxicity profile and affordable cost, it has the potential to benefit patients on a broad scale as an option for CMV prophylaxis.

Using Claims Data to Map Unmet Service Needs for Early Childhood Developmental Disabilities in Virginia.

BACKGROUND: Developmental disabilities (DD) affect over 10% of children 0 to 5 years of age, and early interventions are known to improve outcomes, yet barriers remain in connecting children to these services. OBJECTIVE: To identify gaps in services for young children with DD and established risk conditions in Virginia. METHODS: Data from the 2018 Virginia All Payers Claim Database and the American Community Survey were used to estimate the proportion of children with DD, and among those children, the proportion that received at least one intervention service. Logistic and binomial regression models were used to examine the socio-demographic associations with having developmental needs met, at the individual and zip code tabulation (ZCTA) level. RESULTS: Approximately 12% of children 0 to 5 years were found to have DD or established risk condition diagnosis, and only 54% of these received intervention services during that year. Individual-level analyses suggest that odds of having developmental needs met are higher among older children, boys, and children with public insurance. ZCTA-level analyses suggested higher odds of developmental needs being met in areas with higher levels of unemployment, while areas with high proportions of people with limited English proficiency and a high school education or less had lower odds of having needs met. CONCLUSIONS: Receiving early childhood developmental services in Virginia is associated with having public insurance and living in an area with higher levels of unemployment, higher education, and English-proficiency. Efforts are needed to improve delivery of services overall, specifically targeted to those areas with high levels of unmet need.

The Current State of Alcohol Screening and Management in Virginia Primary Care Practices: An Evaluation of Preventive Service Use.

The US Preventive Services Task Force (USPSTF) recommends screening and behavioral counseling for adults over 18 years for unhealthy alcohol use. Recommended screening instruments include the Alcohol Use Disorders Identification Test-Concise and or Single Alcohol Screening Question. Behavioral counseling is feasible in primary care, taking on average 30 minutes. Baseline data for a practice facilitation trial demonstrated clinicians appropriately screened only 10.8% of patients and only identified 9.6% as having risky drinking. Yet, 24% of patients reported risky drinking on a survey, demonstrating the implementation gap of the USPSTF recommendation and opportunity to improve health.

Feasibility of Patient Navigation for Care Planning in Primary Care.

OBJECTIVES: To help better control chronic conditions we need to address root causes of poor health like unhealthy behaviors, mental health, and social needs. However, addressing these needs in primary care is difficult. One solution may be connecting patients with a navigator for support creating a personal care goal. METHODS: As part of an RCT to evaluate a feasible approach to care planning, 24 clinicians from 12 practices in the Virginia Ambulatory Care Outcomes Research Network (ACORN) and 87 intervention patients with uncontrolled chronic conditions participated in a care planning intervention. We had a structured process to guide patients, train navigators, and adapt the navigation process to meet the needs of each practice. RESULTS: Only 1 practice had bandwidth for staff to serve as a patient navigator, even for extra pay. For the other 11 practices, a research team member needed to provide navigation services. On average, patients wanted 25 weeks of support to complete care plans. The average time patients needed to speak with navigators on the phone was 7 min and 3 s. In exit interviews, patients consistently shared how motivational it was to have a caring person check in on them, offer help, and hold them accountable. CONCLUSION: Patient navigation to address care plans should be feasible. The time commitment is minimal. It does not require intensive training, and primary care is already doing much of this work. Yet, given the burden and competing demands in primary care, this help cannot be offered without additional resources.

Using State All-Payer Claims Data to Identify the Active Primary Care Workforce: A Novel Study in Virginia.

PURPOSE: Primary care is the foundation of the health care workforce and the only part that extends life and improves health equity. Previous research on the geographic and specialty distribution of physicians has relied on the American Medical Association's Masterfile, but these data have limitations that overestimate the workforce. METHODS: We present a pragmatic, systematic, and more accurate method for identifying primary care physicians using the National Plan and Provider Enumeration System (NPPES) and the Virginia All-Payer Claims Database (VA-APCD). Between 2015 and 2019, we identified all Virginia physicians and their specialty through the NPPES. Active physicians were defined by at least 1 claim in the VA-APCD. Specialty was determined hierarchically by the NPPES. Wellness visits were used to identify non-family medicine physicians who were providing primary care. RESULTS: In 2019, there were 20,976 active physicians in Virginia, of whom 5,899 (28.1%) were classified as providing primary care. Of this primary care physician workforce, 52.4% were family medicine physicians; the remaining were internal medicine physicians (18.5%), pediatricians (16.8%), obstetricians and gynecologists (11.8%), and other specialists (0.5%). Over 5 years, the counts and relative percentages of the workforce made up by primary care physicians remained relatively stable. CONCLUSIONS: Our novel method of identifying active physicians with a primary care scope provides a realistic size of the primary care workforce in Virginia, smaller than some previous estimates. Although the method should be expanded to include advanced practice clinicians and to further delineate the scope of practice, this simple approach can be used by policy makers, payers, and planners to ensure adequate primary care capacity.

Cardiometabolic genomics and pharmacogenomics investigations in Filipino Americans: Steps towards precision health and reducing health disparities.

Background: Filipino Americans (FAs) are the third-largest Asian American subgroup in the United States (US). Some studies showed that FAs experience more cardiometabolic diseases (CMDs) than other Asian subgroups and non-Hispanic Whites. The increased prevalence of CMD observed in FAs could be due to genetics and social/dietary lifestyles. While FAs are ascribed as an Asian group, they have higher burdens of CMD, and adverse social determinants of health compared to other Asian subgroups. Therefore, studies to elucidate how FAs might develop CMD and respond to medications used to manage CMD are warranted. The ultimate goals of this study are to identify potential mechanisms for reducing CMD burden in FAs and to optimize therapeutic drug selection. Collectively, these investigations could reduce the cardiovascular health disparities among FAs. Rationale and design: This is a cross-sectional epidemiological design to enroll 300 self-identified Filipino age 18 yrs. or older without a history of cancer and/or organ transplant from Virginia, Washington DC, and Maryland. Once consented, a health questionnaire and disease checklist are administered to participants, and anthropometric data and other vital signs are collected. When accessible, we collect blood samples to measure basic blood biochemistry, lipids, kidney, and liver functions. We also extract DNA from the blood or saliva for genetic and pharmacogenetic analyses. CMD prevalence in FAs will be compared to the US population. Finally, we will conduct multivariate analyses to ascertain the role of genetic and non-genetic factors in developing CMD in FAs. Virginia Commonwealth University IRB approved all study materials (Protocol HM20018500). Summary: This is the first community-based study to involve FAs in genomics research. The study is actively recruiting participants. Participant enrollment is ongoing. At the time of this publication, the study has enrolled 97 participants. This ongoing study is expected to inform future research to reduce cardiovascular health disparities among FAs.

Community, Social, and Facility Factors and Long-stay Antipsychotic Use.

OBJECTIVES: Compare Virginia nursing homes in the top- and bottom-quintiles of antipsychotic use for variation in community, social, and facility factors. METHODS: 2018 CMS data ascertained Virginia nursing homes in the top and bottom quintiles for antipsychotic use. The Virginia Health Department provided social determinant of health (SDOH) statistics for each facility's county/city while claims identified facility demographics. Chi square and independent two-sample t-tests compared quintiles for regional, social, and demographic differences. RESULTS: Quintiles averaged 3000 residents and 56 facilities. Facilities with the lowest rates of antipsychotic use were more likely to be privately owned and had fewer African-American and minority residents and more white residents. All 18 SDOH statistics were superior for the communities of facilities with the lowest antipsychotic rates. Nine of these differences were statistically significant, including the aggregated "Health Opportunity Index." CONCLUSIONS: The antipsychotic prevalence rate for facilities in the top-quintile of antipsychotic use is fivefold the bottom-quintile's rate. Antipsychotic prescribing in nursing homes is associated with regional, demographic, and social factors not addressed by existing antipsychotic reduction measures, with vulnerable populations at greatest risk. CLINICAL IMPLICATIONS: The efficacy of measures aimed at curbing long-stay antipsychotic prescribing could be improved by addressing SDOH including economic opportunities.

Are primary care providers' nutrition care and food insecurity screening practices associated with their perceptions of team-based care?

BACKGROUND: Screening for food insecurity (FI) and providing nutrition care are important management strategies for chronic diseases, but rates are low. Aspects of team-based care and providers' nutrition competence may help inform interventions to improve these services. The objectives of this study were to describe US primary care providers' FI screening and nutrition care practices (counselling, referrals, and time spent counselling) and test for associations with scored measures of their perceptions of team-based care (care continuity, patient-centredness, coordination with external providers and resources) and nutrition competence (confidence counselling and attitudes towards nutrition). METHODS: Cross-sectional online survey data of primary care providers were described and analysed for associations using Wilcoxon rank sum tests. RESULTS: Of provider respondents (N = 92), 35% (n = 32) worked in clinics that screen for FI and had higher team perceptions (P = 0.006) versus those who do not. Those who reported counselling >30% patients about nutrition (57%, n = 52) and referring >10% patients to nutrition professionals (24%, n = 22) had significantly better attitudes towards nutrition (P = 0.013 and P = 0.04, respectively) compared with those with lower counselling and referral rates. Half (n = 46) of the providers reported spending >3-min counselling each patient about nutrition and had higher patient-centred care (P = 0.004) and nutrition competence (P < 0.001) compared with those who spent less time counselling. CONCLUSION: Providers in clinics that screen for FI had higher overall perceptions of team-based care, but their nutrition competence was not significantly different. Meanwhile, reported more time counselling was associated with a culture of patient-centredness. Promoting team-based care may be a mechanism for improving FI screening and nutrition care.