Leveraging big data for outdoor recreation management: A case study from the York river in Virginia.

Outdoor recreation is important for improving quality of life, well-being, and local economies, but quantifying its value without direct monetary transactions can be challenging. This study explores combining non-market valuation techniques with emerging big data sources to estimate the value of recreation for the York River and surrounding parks in Virginia. By applying the travel cost method to anonymous human mobility data, we gain deeper insights into the significance of recreational experiences for visitors and the local economy. Results of a zero-inflated Negative Binomial model show a mean consumer surplus value of $26.91 per trip, totaling $15.5 million across nearly 600,000 trips observed in 2022. Further, weekends, holidays, and the summer and fall months are found to be peak visitation times, whereas those with young children and who are Hispanic or over 64 years old are less likely to visit. These findings shed light on various factors influencing visitation patterns and recreation values, including temporal effects and socio-demographics, revealing disparities that warrant targeted efforts for inclusivity and accessibility. Policymakers can use these insights to make informed and sustainable choices in outdoor recreation management, fostering the preservation of natural resources for the benefit of both visitors and the environment.

Perceptions of African American Youth and Adults Regarding Tobacco Use-Related Factors in Their Community: A Mixed-Methods Approach in Richmond, Virginia.

INTRODUCTION: The US Food and Drug Administration is poised to restrict the availability of menthol cigarettes and flavored cigars, products disproportionately used by Black/African American (B/AA) individuals. We examined B/AA youth and adult perceptions regarding factors contributing to tobacco use, as well as prevention/cessation resources. METHODS: In 2 mixed-methods studies in Richmond, Virginia, we conducted cross-sectional surveys among youth (n = 201) and adult (n = 212) individuals who were primarily B/AA and reported past 30-day cigar smoking or nontobacco use, followed by focus groups with a subset (youth: n = 30; adults: n = 24). Focus groups were analyzed using a thematic analysis framework, and descriptive survey data provided context to themes. RESULTS: Among focus group participants, 20% of youth and 75% of adults reported current cigar smoking. Six themes emerged across the groups: advertising/brands, sensory experiences, costs, social factors, youth-related factors, and dependence/cessation. Youth and adults perceived cigars as popular; cigar use was attributed to targeted advertising, flavors, affordability, and accessibility. While adults expressed concern regarding youth tobacco use, youth did not perceive tobacco prevention programs as helpful. Adults and youth reported limited access to community tobacco prevention/cessation programs. DISCUSSION: Expanded tobacco prevention and cessation resources for B/AA people who smoke could leverage federal regulatory actions to ban tobacco products targeted toward this group and decrease disparities in tobacco-related morbidity and mortality.

Prevalence and Correlates of Unmet Medical and Social Needs in Virginia's Medicaid Managed Long Term Services and Supports Program.

BACKGROUND: Medicaid Long Term Services and Support (LTSS) programs serve individuals with complex medical and social needs. Increasingly, state Medicaid programs are contracting with managed care organizations to administer LTSS programs. OBJECTIVES: Understand the prevalence of and risk factors for unmet medical and social needs among a sample of patients within a Medicaid managed LTSS program. METHODS: We surveyed a cross-sectional random sample of 798 community-residing individuals over 21 in Virginia who were served by the state Medicaid managed LTSS program. Outcomes of interest include 3 distinct medical needs: medical appointments, medical transportation, and prescriptions; 4 distinct social needs: housing security, food security, utility bills, and nonmedical transportation, and composite measures of unmet social and medical needs. RESULTS: We found that 12.5% of our sample had any unmet medical need, while far more (62.2%) of our sample had any unmet social needs, with food insecurity being the most common. We found that members of color had almost 2 times the odds of having both unmet social and medical needs [social: adjusted odds ratio (aOR): 2.21; 95% confidence Interval (CI): (1.59, 3.09); medical aOR: 2.25 ; 95% CI: (1.34, 3.8)]. CONCLUSION: Medicaid members may not be fully realizing the potential of LTSS programs and would benefit from both Medicaid agency and managed care organizations' strategies aimed at addressing social drivers of health. To achieve health equity for LTSS members of color, Medicaid agencies may consider policies specifically targeting racial disparities.

Contextual Factors Influencing the Adoption of Physical Activity Direct Education and Policy, Systems, and Environmental Change Initiatives by Virginia EFNEP and SNAP-Ed Staff.

OBJECTIVE: To explore factors influencing the adoption of direct education programs and policy, systems, and environmental (PSE) change initiatives focused on physical activity for Supplemental Nutrition Assistance Program-eligible audiences by Virginia Expanded Food and Nutrition Education Program and Supplemental Nutrition Assistance Program-Education (SNAP-Ed) staff. METHODS: Online survey with Expanded Food and Nutrition Education Program and SNAP-Ed peer (paraprofessional) educators (n = 28) and SNAP-Ed agents (master of science level) (n = 9) in Virginia. Descriptive statistics were computed for sociodemographic characteristics and responses to questions on the basis of Likert-type scales. Exploratory factor analyses were run to identify the underlying structures of the different variables. RESULTS: The main factors for peer educators were related to substituting nutrition programs or content for physical activity programs. Other factors included staff qualifications and expectations about leading vs teaching physical activities. For PSEs, the top factors were the capacity to reach many community members, attract new partners and stakeholders, and personal interest in the PSE. CONCLUSIONS AND IMPLICATIONS: The results provide insight into potential barriers and motivators for adopting physical activity education and PSEs within community-based initiatives and can be used to inform program planning and staff training. Additional research is warranted to examine other factors influencing the adoption and implementation of physical activity programs and PSEs.

Changes in buprenorphine waivered provider supply after Virginia Medicaid implements the addiction and recovery treatment services program and Medicaid expansion.

BACKGROUND: Shortages of providers authorized to prescribe buprenorphine may limit access to buprenorphine, which studies have shown to be effective in the treatment of opioid use disorder (OUD). OBJECTIVE: To examine whether two state Medicaid policies in Virginia-the Addiction and Recovery Treatment Services (ARTS) program in 2017, and Medicaid expansion in 2019-increased the number of buprenorphine waivered providers (BWP) in Virginia, compared to other southern states in the United States that did not expand Medicaid. METHODS: The study population includes providers authorized to prescribe buprenorphine. We compute the number of BWP per 100,000 people for the study states, overall and for different waiver limits (30, 100 or 275). Using difference-in-difference regression models, we examine changes in BWP rates for Virginia relative to nonexpansion states in the US South between 2015 and 2020. RESULTS: The rate of increase in BWP was higher in Virginia after implementation of ARTS and Medicaid expansion (148 %), compared to southern nonexpansion states over the same time period (115 %). Relative to nonexpansion states in the South, BWP with patient limits of 100 or 275 increased by 7 % in Virginia after ARTS implementation in 2017, and by an additional 22 % after Medicaid expansion in 2019 (p < 0.05 each). CONCLUSIONS: The findings suggest that public policies that expand access to OUD treatment services-including buprenorphine treatment-may also increase the supply of providers authorized to prescribe buprenorphine, helping to alleviate shortages of BWP providers and further increasing access to care.

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.

Primary Care Provider Medicaid Participation Across the United States, 2016.

PURPOSE: To understand primary care provider participation in Medicaid programs across states and provider specialties and professions. METHODS: We examined the 2016 Medicaid claims data across 45 states and territories from the Transformed Medicaid Statistical Information System (T-MSIS). RESULTS: Of the 616,182 primary care providers we identified, 111,152 (18.0%) saw no Medicaid patients, 88,723 (14.4%) providers saw one to 10 Medicaid patients, 163,806 (26.6%) saw 11 to 100 Medicaid patients, and 252,501 (41.0%) saw more than 100 Medicaid patients in 2016. The proportion of providers who saw more than 100 Medicaid patients ranged from 22.9% in Virginia to 56.1% in New Mexico. Medicaid participation also differed by specialty, from 78.4% among pediatricians to 61.2% among nurse practitioners. This study lays the foundations for using T-MSIS data to identify communities at the highest risk for access barriers and support targeted policy responses.

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).

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.

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.

Social Determinants of Health and Racial/Ethnic Disparities in COVID-19 Mortality at the County Level in the Commonwealth of Virginia.

BACKGROUND: Mortality due to coronavirus disease-2019 (COVID-19) among Black and Hispanic populations is disproportionately high compared to white populations. This study aimed to explore the association between COVID-19 mortality and social determinants of health (SDOH) among Black and Hispanic populations in Virginia. METHOD: County-level publicly available COVID-19 mortality data from Virginia, covariates, and SDOH indicators were used. An independent t-test and hierarchical multiple regression analysis were performed to assess the association between SDOH and COVID-19 death rates, with a focus on racial/ethnic disparities. RESULTS: Counties in the lowest quartile had a mean death rate of 44.72 (SD = 13.8), while those in the highest quartile had a mean death rate of 239.02 (SD = 123.9) per 100, 000 people ( P < .001). Counties with the highest death rates had significantly lower mean socioeconomic status. The regression analysis revealed that 32% of the variance in the COVID-19 mortality rate was associated with SDOH after controlling for the covariates ( P < .01). Identifying as Hispanic ethnicity accounted for 8.5% of the variance, while median household income, being uninsured, and education accounted for 32.7%, 12.9%, and 7.1%, respectively. CONCLUSIONS: The findings provide evidence that disparities in SDOH experienced by Hispanic populations play a significant role in increased COVID-19 mortality, thus highlighting the social needs of low-income, low-education, and Hispanic populations to advance equity in health outcomes.

The Impact of Preventive Dental Services on Subsequent Dental Treatment for Children in Medicaid.

OBJECTIVE: The goal of this study was to use claims data linked with community-level measures to evaluate the impact of preventive services on the time to subsequent restorative, advanced restorative, and complex dental treatment among children enrolled in the Virginia Medicaid program. METHODS: Four data sources were used (dental claims, eligibility files, American Community Survey, and Area Health Resource Files) for fiscal years 2011 to 2018. The outcomes of interest were time to first treatment services from birth. The treatment outcomes were basic restorative treatment, advanced restorative treatment, or complex treatment. The independent variable was a preventive service prior to a treatment service. Time-to-event curves were estimated and compared using a log-rank test. Propensity score-matched univariate and multivariate Cox proportional hazards frailty models with an inverse probability censoring weighting correction estimated hazard ratios (HRs) for treatment outcomes comparing use of preventive services while controlling for patient demographic, geospatial, and county-level socioeconomic status measures. RESULTS: The analysis included 430,594 children (10,204,182 claims). A log-rank test showed significant differences (P < 0.001) between the times to treatment of those who had a preventive service and those who did not have a preventive service prior to a treatment service. Both Kaplan-Meier curves and the adjusted HR (1.88; 95% confidence interval [CI], 1.46-2.15) indicated that children without preventive services were more likely to have basic restorative treatment at an earlier age along with advanced restorative treatment (HR, 1.52; 95% CI, 1.28-1.80) and complex treatment (HR, 2.13; 95% CI, 1.68-2.61). CONCLUSIONS: In a population of Medicaid-enrolled children, children who did not receive preventive services were significantly more likely to have treatment at an earlier age than those who did receive preventive services. KNOWLEDGE TRANSFER STATEMENT: This study examines the impact of the utilization of preventive dental services since birth and the subsequent dental treatment for children enrolled in a dental Medicaid program. This study also examines the influence of preventive care on dental complexity of treatment for these children. Findings can inform federal and state policy planning of dental Medicaid programs as well as interventions to improve referral systems for the early use of preventive dental services and the establishment of a dental home.

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.

Imaging Landscapes, Roads, Race, and Power.

Drawing on two contrasting images of the "highway to nowhere" in Baltimore and a stretch of the Blue Ridge Parkway in Virginia, this essay throws a spotlight on the politics of planning and designing roads in mid-twentieth century America. It examines the intertwined roles of race, class, and profession, focusing on the relationship between race and infrastructures as a systemic issue underlying individual decisions and policies. Race and infrastructures are prominent political topics now that the U.S. federal Department of Transportation is awarding grants to study tearing down interstate highways that have fractured and destroyed inner-city neighborhoods. These policies build on acknowledgments that federally funded infrastructures were not neutral delivery systems, but embodied racist and professional ideologies. While historians of technology have long studied the relationship between values and technology, such analyses are becoming more salient.

Participatory mapping to address neighborhood level data deficiencies for food security assessment in Southeastern Virginia, USA.

BACKGROUND: Food is not equitably available. Deficiencies and generalizations limit national datasets, food security assessments, and interventions. Additional neighborhood level studies are needed to develop a scalable and transferable process to complement national and internationally comparative data sets with timely, granular, nuanced data. Participatory geographic information systems (PGIS) offer a means to address these issues by digitizing local knowledge. METHODS: The objectives of this study were two-fold: (i) identify granular locations missing from food source and risk datasets and (ii) examine the relation between the spatial, socio-economic, and agency contributors to food security. Twenty-nine subject matter experts from three cities in Southeastern Virginia with backgrounds in food distribution, nutrition management, human services, and associated research engaged in a participatory mapping process. RESULTS: Results show that publicly available and other national datasets are not inclusive of non-traditional food sources or updated frequently enough to reflect changes associated with closures, expansion, or new programs. Almost 6 percent of food sources were missing from publicly available and national datasets. Food pantries, community gardens and fridges, farmers markets, child and adult care programs, and meals served in community centers and homeless shelters were not well represented. Over 24 km2 of participant identified need was outside United States Department of Agriculture low income, low access areas. Economic, physical, and social barriers to food security were interconnected with transportation limitations. Recommendations address an international call from development agencies, countries, and world regions for intervention methods that include systemic and generational issues with poverty, incorporate non-traditional spaces into food distribution systems, incentivize or regulate healthy food options in stores, improve educational opportunities, increase data sharing. CONCLUSIONS: Leveraging city and regional agency as appropriate to capitalize upon synergistic activities was seen as critical to achieve these goals, particularly for non-traditional partnership building. To address neighborhood scale food security needs in Southeastern Virginia, data collection and assessment should address both environment and utilization issues from consumer and producer perspectives including availability, proximity, accessibility, awareness, affordability, cooking capacity, and preference. The PGIS process utilized to facilitate information sharing about neighborhood level contributors to food insecurity and translate those contributors to intervention strategies through discussion with local subject matter experts and contextualization within larger scale food systems dynamics is transferable.

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.

Psychographic segmentation to identify higher-risk teen peer crowds for health communications: Validation of Virginia's Mindset Lens Survey.

Audience segmentation is necessary in health communications to ensure equitable resource distribution. Peer crowds, which are macro-level teen subcultures, are effective psychographic segments for health communications because each crowd has unique mindsets, values, norms, and health behavior profiles. These mindsets affect behaviors, and can be used to develop targeted health communication campaigns to reach those in greatest need. Though peer crowd research is plentiful, no existing peer crowd measurement tool has been formally validated. As such, we developed and validated Virginia's Mindset Lens Survey (V-MLS), a mindset-based teen peer crowd segmentation survey to support health communication efforts. Using an online convenience sample of teens (N = 1,113), we assessed convergent and discriminant validity by comparing the V-MLS against an existing, widely-used peer crowd survey (I-Base Survey®) utilizing a multi-trait multi-method matrix. We also examined the V-MLS's predictive ability through a series of regressions using peer crowd scores to predict behaviors, experiences, and traits relevant to health communication campaign planning. The V-MLS demonstrated reliability and convergent and discriminant validity. Additionally, the V-MLS effectively distinguished teen peer crowds with unique health behaviors, experiences, and personal traits. When combined with appropriate information processing and campaign development frameworks, this new tool can complement existing instruments to inform message framing, tone, and style for campaigns that target at-risk teens to increase campaign equity and reach.

Factors Associated With Imaging of Nontraumatic Headaches in Virginia Emergency Departments.

PURPOSE: To explore whether patient-reported demographics and hospital classifications were significant factors in the likelihood that a computed tomography (CT) scan of the head would be ordered for nontraumatic headaches. METHODS: Nonexperimental, cross-sectional analysis was performed on a database that included 18 279 patients presenting to emergency departments (EDs) in the Commonwealth of Virginia. Information included in the analysis was diagnosis of a generalized, nontraumatic headache; patient age and sex; the treating hospital's profit status (ie, for-profit vs nonprofit); status of the hospital as a teaching institution; hospital location (ie, rural vs suburban and urban); diagnostic procedures ordered; and patient's insurance coverage (commercial insurance, Medicare, or Medicaid). Descriptive statistics, chi-square, and binary logistic regression analyses were performed. RESULTS: Approximately 10% of patients who presented to EDs with a chief complaint of headache received a diagnostic head CT scan. Patient age proved to be the only significant variable in the analysis (P ≤ .001). Hospital's teaching status, classification as rural or suburban and urban, and profit status were not significant factors in determining the likelihood of a head CT being performed, nor were any other demographic variables studied. DISCUSSION: Radiologic procedure expenditures have increased more than any other physician service in the past 2 decades. The increase in CT use warrants further research. Although the analysis did not demonstrate that hospital characteristics were a significant factor in the ordering of head CT scans for nontraumatic headaches, continued analysis should be performed because resource use in EDs is not static. CONCLUSION: The overall rate of CT usage in EDs in the United States has increased significantly. Understanding CT use rates is important to radiographers and policymakers when considering resource use in dynamic EDs.