Variation in Time Between Testing Positive for COVID-19 and Hospital Admission by Race/Ethnicity and Insurance Status.

Understanding the extent to which demographic and socioeconomic factors play a role in the disparities associated with duration between testing positive for COVID-19 and hospital admission will help in achieving equitable health outcomes. This project linked the statewide COVID-19 registry to administrative datasets to examine the variation in times between testing positive for COVID-19 and hospital admission by race/ethnicity and insurance. In 2020, there were 11,314 patients admitted for COVID-19 in Arkansas. Approximately 42.2% tested positive for COVID-19 on the same day as hospital admission. Black patients had 38% higher odds of hospitalization on the day of testing compared with White patients (p<.001). Medicaid and uninsured patients had 51% and 50% higher odds of admission on the day of testing compared with privately insured patients (both p<.001), respectively. This study highlights the implications of reduced access to testing with respect to equitable health outcomes.

Deployment of Health Equity Strike Teams to Address COVID-19 Vaccine Disparities in Arkansas, 2021.

Minority populations have been disproportionately affected by the COVID-19 pandemic, and disparities have been noted in vaccine uptake. In the state of Arkansas, health equity strike teams (HESTs) were deployed to address vaccine disparities. A total of 13 470 vaccinations were administered by HESTs to 10 047 eligible people at 45 events. Among these individuals, 5645 (56.2%) were African American, 2547 (25.3%) were White, and 1068 (10.6%) were Hispanic. Vaccination efforts must specifically target populations that have been disproportionately affected by the pandemic. (Am J Public Health. 2022;112(1):29-33. https://doi.org/10.2105/AJPH.2021.306564).

Use of Community-Based Participatory Research Partnerships to Reduce COVID-19 Disparities Among Marshallese Pacific Islander and Latino Communities - Benton and Washington Counties, Arkansas, April-December 2020.

Marshallese and Latino communities in Benton and Washington counties, Arkansas, were disproportionately affected by COVID-19. We evaluated the effectiveness of a comprehensive community-based intervention to reduce COVID-19 disparities in these communities. We examined all laboratory-confirmed COVID-19 cases in the 2 counties reported from April 6, 2020, through December 28, 2020. A 2-sample serial t test for rate change was used to evaluate changes in case rates before and after implementation of the intervention. After implementation, the proportions of cases among Marshallese and Latino residents declined substantially and began to align more closely with the proportions of these 2 populations in the 2 counties. Infection rates remained lower throughout the evaluation period, and weekly incidence also approximated Marshallese and Latino population proportions. Leveraging community partnerships and tailoring activities to specific communities can successfully reduce disparities in incidence among populations at high-risk for COVID-19 .

The Arkansas Minority Barber and Beauty Shop Health Initiative: Meeting People Where They Are.

INTRODUCTION: The Office of Health Equity at the Arkansas Department of Health created the Arkansas Minority Barber & Beauty Shop Health Initiative (ARBBS) to address cardiovascular disease (CVD) among racial/ethnic minority populations. The objective of this study was to describe CVD-related screening results for ARBBS participants and their knowledge of CVD-related risk factors, signs, and symptoms before and immediately after participation in a screening event. METHODS: ARBBS screening events were held from February 2016 through June 2019 at barber and beauty shops in 14 counties in Arkansas. During each event, participants were screened for hypertension, high cholesterol, and diabetes; surveys on CVD-related knowledge were administered before (pretest) and after (posttest) screening. Onsite public health practitioners reviewed surveys and identified abnormal screening results. Participants with abnormal screening results were counseled and given a referral to follow up with a primary care physician, wellness center, or charitable clinic. The nurse coordinator followed up to confirm that a visit or appointment had been made and provide case-management services. RESULTS: During the study period, 1,833 people were screened. The nurse coordinator followed up with 320 (55.7%) of 574 unique referrals. Of the 574 referrals, 418 (72.8%) were for hypertension, 156 (27.2%) for high cholesterol, and 120 (20.9%) for diabetes. The overall knowledge of risk factors and symptoms of heart attack and stroke increased significantly by 15.4 percentage points from pretest to posttest (from 76.9% to 92.3%; P < .001). The follow-up approach provided anecdotal information indicating that several participants discovered they had underlying medical conditions and were given medical or surgical interventions. CONCLUSION: Through referrals and follow-ups, ARBBS participants gained greater knowledge of chronic disease prevention and risk factors. Additionally, this program screened for and identified people at risk for CVD.

Association of Insurance Status With Treatment and Outcomes in Pediatric Patients With Severe Traumatic Brain Injury.

OBJECTIVE: To determine whether a health insurance disparity exists among pediatric patients with severe traumatic brain injury using the National Trauma Data Bank. DESIGN: Retrospective cohort study. SETTING: National Trauma Data Bank, a dataset containing more than 800 trauma centers in the United States. PATIENTS: Pediatric patients (< 18 yr old) with a severe isolated traumatic brain injury were identified in the National Trauma Database (years 2007-2016). Isolated traumatic brain injury was defined as patients with a head Abbreviated Injury Scale score of 3+ and excluded those with another regional Abbreviated Injury Scale of 3+. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: Procedure codes were used to identify four primary treatment approaches combined into two classifications: craniotomy/craniectomy and external ventricular draining/intracranial pressure monitoring. Diagnostic criteria and procedure codes were used to identify condition at admission, including hypotension, Glasgow Coma Scale, mechanism and intent of injury, and Injury Severity Score. Children were propensity score matched using condition at admission and other characteristics to estimate multivariable logistic regression models to assess the associations among insurance status, treatment, and outcomes. Among the 12,449 identified patients, 91.0% (n = 11,326) had insurance and 9.0% (n = 1,123) were uninsured. Uninsured patients had worse condition at admission with higher rates of hypotension and higher Injury Severity Score, when compared with publicly and privately insured patients. After propensity score matching, having insurance was associated with a 32% (p = 0.001) and 54% (p < 0.001) increase in the odds of cranial procedures and monitor placement, respectively. Insurance coverage was associated with 25% lower odds of inpatient mortality (p < 0.001). CONCLUSIONS: Compared with insured pediatric patients with a traumatic brain injury, uninsured patients were in worse condition at admission and received fewer interventional procedures with a greater odds of inpatient mortality. Equalizing outcomes for uninsured children following traumatic brain injury requires a greater understanding of the factors that lead to worse condition at admission and policies to address treatment disparities if causality can be identified.

Effects of the Affordable Care Act on Vascular Patient Amputation Rates in Arkansas.

BACKGROUND: The Patient Protection and Affordable Care Act was signed into law in 2010 and enacted in 2013 which improved insurance coverage across America due to increasing Medicaid eligibility as well as changes to individual insurance markets. In Arkansas, this was implemented by a Medicaid expansion waiver which allowed patients to purchase insurance with funds provided by the government to subsidize premiums through the marketplace. The goal of this study was to determine the effects of the Affordable Care Act (ACA) on Arkansas patients with peripheral arterial disease. METHODS: A pre-post research design using the Arkansas Hospital Discharge Dataset was used to study the impact of the ACA on limb amputation, distal bypass, discharge disposition, and total costs for patients diagnosed with peripheral arterial disease/atherosclerosis. The data were obtained for the years 2007 through 2009 (pre-ACA), 2011 through 2013 (post-ACA), and 2014 through 2015 (post-Arkansas expansion). Bivariate analysis, analysis of variance, and regression analyses were performed to analyze the data. RESULTS: A total of 10,923 patients were identified. Uninsured patients ("self-pay") decreased from 7% pre-ACA to 3.4% post-Arkansas expansion (P < 0.0001). There was a decrease in adjusted health-care costs after the Arkansas expansion (P < 0.0001). There was no change in mortality or transfer to rehabilitation facilities, but there was an increase in discharge to skilled nursing facilities along with a decrease in patients being discharged home (P < 0.0001). Regression analysis showed private insurance to be associated with a 49% reduction in the odds of an amputation (P < 0.0001). The Arkansas expansion was associated with a 26% reduction in the odds of an amputation when compared with that before the ACA implementation (P < 0.005). Having private insurance was associated with a 26% increase in the odds of having a bypass when compared with uninsured patients (P < 0.05). CONCLUSIONS: Patients with private insurance have a decreased chance of amputation and increased odds of having a bypass when compared with patients who were of the self-pay category. The increase in private insurance coverage in our patient population could improve the rate of amputation in the vascular population in Arkansas by increasing early interventions for peripheral vascular disease.

Increasing Evidence-Based Interventions in Patients with Acute Infections in a Resource-Limited Setting: A Before-and-After Feasibility Trial in Gitwe, Rwanda.

OBJECTIVE: To evaluate whether a focused education program and implementation of a treatment bundle increases the rate of early evidence-based interventions in patients with acute infections. DESIGN: Single-center, prospective, before-and-after feasibility trial. SETTING: Emergency department of a sub-Saharan African district hospital. PATIENTS: Patients > 28 days of life admitted to the study hospital for an acute infection. INTERVENTIONS: The trial had three phases (each of four months). Interventions took place during the second (educational program followed by implementation of the treatment bundle) and third (provision of resources to implement treatment bundle) phases. MEASUREMENTS AND MAIN RESULTS: Demographic, clinical, and laboratory data were collected at study enrollment; 24, 48, and 72 hours after hospital admission; and at discharge. A total of 1,594 patients were enrolled (pre-intervention, n = 661; intervention I, n = 531; intervention II, n = 402). The rate of early evidence-based interventions per patient during Intervention Phase I was greater than during the pre-intervention phase (74 ± 17 vs. 79 ± 15%, p < 0.001). No difference was detected when data were compared between Intervention Phases I and II (79 ± 15 vs. 80 ± 15%, p = 0.58). No differences in the incidence of blood transfusion (pre-intervention, 6%; intervention I, 7%; intervention II, 7%) or severe adverse events in the first 24 hours (allergic reactions: pre-intervention, 0.2%; intervention I, 0%; intervention II, 0%; respiratory failure: pre-intervention, 2%; intervention I, 2%; intervention II, 2%; acute renal failure: pre-intervention, 2%; intervention I, 2%; intervention II, 1%) were observed. CONCLUSIONS: Our results indicate that a focused education program and implementation of an infection treatment bundle in clinical practice increased the rate of early evidence-based interventions in patients with acute infections (mostly malaria) admitted to a sub-Saharan African district hospital. Provision of material resources did not further increase this rate. While no safety issues were detected, this could be related to the very low disease severity of the enrolled patient population (www.clinicaltrials.gov: NCT02697513).

Use of a Novel Accounting and Grouping Method for Major Trunk Injury-Analysis of Data from a Statewide Trauma Financial Survey.

Major trunk trauma is common and costly, but comparisons of costs between trauma centers (TCs) are rare. Understanding cost is essential to improve quality, manage trauma service lines, and to facilitate institutional commitment for trauma. We have used results of a statewide trauma financial survey of Levels I to IV TC to develop a useful grouping method for costs and clinical characteristics of major trunk trauma. The trauma financial survey collected billing and clinical data on 75 per cent of the state trauma registry patients for fiscal year 2012. Cost was calculated by separately accounting for embedded costs of trauma response and verification, and then adjusting reasonable costs from the Medicare cost report for each TC. The cost-to-charge ratios were then recalculated and used to determine uniform cost estimates for each patient. From the 13,215 patients submitted for the survey, we selected 1,094 patients with major trunk trauma: lengths of stay ≥ 48 hours and a maximum injury of AIS ≥3 for either thorax or abdominal trauma. These patients were then divided into three Injury Severity Score (ISS) groups of 9 to 15, 16 to 24, or 25+ to stratify patients into similar injury groups for analysis of cost and cost drivers. For abdominal injury, average total cost for patients with ISS 9 to 15 was $17,429. Total cost and cost per day increased with severity of injury, with $51,585 being the total cost for those with ISS 25. Similar trends existed for thoracic injury. Use of the Medicare cost report and cost-to-charge ratios to compute uniform costs with an innovative grouping method applied to data collected across a statewide trauma system provides unique information regarding cost and outcomes, which affects quality improvement, trauma service line management, and decisions on TC participation.

Social services utilization and need among a community sample of persons living with HIV in the rural south.

HIV prevalence has increased faster in the southern USA than in other areas, and persons living with HIV (PLWHIV) in the south are often rural, impoverished, or otherwise under-resourced. Studies of urban PLWHIV and those receiving medical care suggest that use of social services can enhance quality of life and some medical outcomes, but little is known about patterns of social service utilization and need among rural southern PLWHIV. The AIDS Alabama needs assessment survey, conducted in 2007, sampled a diverse community cohort of 476 adult PLWHIV representative of the HIV-positive population in Alabama (66% male, 76% Black, and 26% less than high school education). We developed service utilization/need (SUN) scores for each of 14 social services, and used regression models to determine demographic predictors of those most likely to need each service. We then conducted an exploratory factor analysis to determine whether certain services clustered together for the sample. Case management, assistance obtaining medical care, and financial assistance were most commonly used or needed by respondents. Black respondents were more likely to have higher SUN scores for alcohol treatment and for assistance with employment, housing, food, financial, and pharmacy needs; respondents without spousal or partner relationships had higher SUN scores for substance use treatment. Female respondents were more likely to have higher SUN scores for childcare assistance. Black respondents and unemployed respondents were more likely to have SUN scores in the highest quartile of the overall score distribution. Factor analysis yielded three main factors: basic needs, substance use treatment, and legal/medical needs. These data provide important information about rural southern PLWHIV and their needs for ancillary services. They also suggest clusters of service needs that often occur among PLWHIV, which may help case managers and other service providers work proactively to identify important gaps in care.