Racial Disparities in Blood Pressure at Time of Acute Ischemic Stroke Presentation: A Population Study.

BACKGROUND: Hypertension is a stroke risk factor with known disparities in prevalence and management between Black and White patients. We sought to identify if racial differences in presenting blood pressure (BP) during acute ischemic stroke exist. METHODS AND RESULTS: Adults with acute ischemic stroke presenting to an emergency department within 24 hours of last known normal during study epochs 2005, 2010, and 2015 within the Greater Cincinnati/Northern Kentucky Stroke Study were included. Demographics, histories, arrival BP, National Institutes of Health Stroke Scale score, and time from last known normal were collected. Multivariable linear regression was used to determine differences in mean BP between Black and White patients, adjusting for age, sex, National Institutes of Health Stroke Scale score, history of hypertension, hyperlipidemia, smoking, stroke, body mass index, and study epoch. Of 4048 patients, 853 Black and 3195 White patients were included. In adjusted analysis, Black patients had higher presenting systolic BP (161 mm Hg [95% CI, 159-164] versus 158 mm Hg [95% CI, 157-159], P<0.01), diastolic BP (86 mm Hg [95% CI, 85-88] versus 83 mm Hg [95% CI, 82-84], P<0.01), and mean arterial pressure (111 mm Hg [95% CI, 110-113] versus 108 mm Hg [95% CI, 107-109], P<0.01) compared with White patients. In adjusted subanalysis of patients <4.5 hours from last known normal, diastolic BP (88 mm Hg [95% CI, 86-90] versus 83 mm Hg [95% CI, 82-84], P<0.01) and mean arterial pressure (112 mm Hg [95% CI, 110-114] versus 108 mm Hg [95% CI, 107-109], P<0.01) were also higher in Black patients. CONCLUSIONS: This population-based study suggests differences in presenting BP between Black and White patients during acute ischemic stroke. Further study is needed to determine whether these differences influence clinical decision-making, outcome, or clinical trial eligibility.

Surgical versus medical management of patients with primary hyperaldosteronism and indeterminate adrenal vein sampling: A 10-year experience of the Cleveland Clinic.

In patients with primary hyperaldosteronism (PA), adrenal vein sampling (AVS) can identify patients suitable for unilateral adrenalectomy. However, in AVS with an indeterminate aldosterone-to-cortisol lateralization (ACL) ratio of 3.0-4.0, clinical guidance is unclear. The authors screened all patients undergoing AVS at the Cleveland Clinic from October 2010 to January 2021 and identified 18 patients with indeterminate ACL results. Ten underwent adrenalectomy and eight continued medical management. The surgical group was younger (58.5 vs. 68 years, p = .17), and more likely to have a unilateral imaging adrenal abnormality (90% vs. 38%, p = .043) and a lower contralateral suppression index (0.63 vs. 1.1, p = .14). Post-treatment, the surgical group had a significant reduction in diastolic blood pressure (-5.5 mmHg, p = .043) and aldosterone (4.40 vs. 35.80 ng/mL, p = .035) and required fewer anti-hypertensive medications (2 vs. 3, p = .015). These findings may support the benefit of adrenalectomy in a select group of patients with indeterminate ACL.

Estimating the Cost of the COVID-19 Response for Local Health Departments: Evidence From Ohio.

This study assessed the staffing allocations and associated costs incurred by Ohio local health departments (LHDs) in response to the challenges posed by the COVID-19 pandemic. Data were extracted from the annual financial reports of Ohio LHDs for 2020 and 2021, encompassing a sample of 38 LHDs in 2020 and 60 LHDs in 2021. Descriptive analysis showed that Ohio LHDs committed substantial resources to responding to the COVID-19 pandemic. Although there was considerable variability across LHDs, median staffing and compensation collectively constituted 22% of total staffing and compensation. Multivariate regression analysis found minimal associations between the examined agency and community-level variables and the differences in staffing allocations and associated costs incurred by LHDs in response to the COVID-19 pandemic. After decades of underfunding and understaffing, securing sustainable funding will be crucial to equip LHDs across the country with the necessary resources to deliver comprehensive public health services in their communities.

Trends Over Time in Stroke Incidence by Race in the Greater Cincinnati Northern Kentucky Stroke Study.

BACKGROUND AND OBJECTIVES: Understanding the current status of and temporal trends of stroke epidemiology by age, race, and stroke subtype is critical to evaluate past prevention efforts and to plan future interventions to eliminate existing inequities. We investigated trends in stroke incidence and case fatality over a 22-year time period. METHODS: In this population-based stroke surveillance study, all cases of stroke in acute care hospitals within a 5-county population of southern Ohio/northern Kentucky in adults aged ≥20 years were ascertained during a full year every 5 years from 1993 to 2015. Temporal trends in stroke epidemiology were evaluated by age, race (Black or White), and subtype (ischemic stroke [IS], intracranial hemorrhage [ICH], or subarachnoid hemorrhage [SAH]). Stroke incidence rates per 100,000 individuals from 1993 to 2015 were calculated using US Census data and age-standardized, race-standardized, and sex-standardized as appropriate. Thirty-day case fatality rates were also reported. RESULTS: Incidence rates for stroke of any type and IS decreased in the combined population and among White individuals (any type, per 100,000, 215 [95% CI 204-226] in 1993/4 to 170 [95% CI 161-179] in 2015, p = 0.015). Among Black individuals, incidence rates for stroke of any type decreased over the study period (per 100,000, 349 [95% CI 311-386] in 1993/4 to 311 [95% CI 282-340] in 2015, p = 0.015). Incidence of ICH was stable over time in the combined population and in race-specific subgroups, and SAH decreased in the combined groups and in White adults. Incidence rates among Black adults were higher than those of White adults in all time periods, and Black:White risk ratios were highest in adults in young and middle age groups. Case fatality rates were similar by race and by time period with the exception of SAH in which 30-day case fatality rates decreased in the combined population and White adults over time. DISCUSSION: Stroke incidence is decreasing over time in both Black and White adults, an encouraging trend in the burden of cerebrovascular disease in the US population. Unfortunately, however, Black:White disparities have not decreased over a 22-year period, especially among younger and middle-aged adults, suggesting the need for more effective interventions to eliminate inequities by race.

Contrasting PRRSV temporal lineage patterns at the individual farm, production system, and regional levels in Ohio and neighboring states from 2017 to 2021.

Porcine reproductive and respiratory virus (PRRSV), one of the most significant viruses in the swine industry, has been challenging to control due to its high mutation and recombination rates and complexity. This retrospective study aimed to describe and compare the distribution of PRRSV lineages obtained at the individual farm, production system, and regional levels. PRRSV-2 (type 2) sequences (n = 482) identified between 2017 - 2021 were provided by a regional state laboratory (Ohio Department of Agriculture, Animal Disease Diagnostic Center (ODA-ADDL)) collected from swine farms in Ohio and neighboring states, including Indiana, Michigan, Pennsylvania, and West Virginia. Additional sequences (n = 138) were provided by one collaborating swine production system. The MUSCLE algorithm on Geneious Prime® was used to align the ORF5 region of PRRSV-2 sequences along with PRRSV live attenuated vaccine strains (n = 6) and lineage anchors (n = 169). Sequenced PRRSV-2 were assigned to the most identical lineage anchors/vaccine strains. Among all sequences (n = 620), 29.8% (185/620) were ≥ 98.0% identity with the vaccine strains, where 93.5% (173/185) and 6.5% (12/185) were identical with the L5 Ingelvac PRRS® MLV and L8 Fostera® PRRS vaccine strains, respectively, and excluded from the analysis. At the regional level across five years, the top five most identified lineages included L1A, L5, L1H, L1C, and L8. Among non-vaccine sequences with production system known, L1A sequences were mostly identified (64.3% - 100.0%) in five systems, followed by L1H (0.0% - 28.6%), L1C (0.0% - 10.5%), L5 (0.0% - 14.4%), L8 (0.0% - 1.3%), and L1F (0.0% - 0.5%). Furthermore, among non-vaccine sequences with the premise identification available (n = 262), the majority of sequences from five individual farms were either classified into L1A or L5. L1A and L5 sequences coexisted in three farms, while samples submitted by one farm contained L1A, L1H, and L5 sequences. Additionally, the lineage classification results of non-vaccine sequences were associated with their restriction fragment length polymorphism (RFLP) patterns (Fisher's exact test, p < 0.05). Overall, our results show that individual farm and production system-level PRRSV-2 lineage patterns do not necessarily correspond to regional-level patterns, highlighting the influence of individual farms and systems in shaping PRRSV occurrence within those levels, and highlighting the crucial goal of within-farm and system monitoring and early detection for accurate knowledge on PRRSV-2 lineage occurrence and emergence.

An Application of Social Vulnerability Index to Infant Mortality Rates in Ohio Using Geospatial Analysis- A Cross-Sectional Study.

BACKGROUND: Ohio ranks 43rd in the nation in infant mortality rates (IMR); with IMR among non-Hispanic black infants is three times higher than white infants. OBJECTIVE: To identify the social factors determining the vulnerability of Ohio counties to IMR and visualize the spatial association between relative social vulnerability and IMR at county and census tract levels. METHODS: The social vulnerability index (SVICDC) is a measure of the relative social vulnerability of a geographic unit. Five out of 15 social variables in the SVICDC were utilized to create a customized index for IMR (SVIIMR) in Ohio. The bivariate descriptive maps and spatial lag model were applied to visualize the quantitative relationship between SVIIMR and IMR, accounting for the spatial autocorrelation in the data. RESULTS: Southeastern counties in Ohio displayed highest IMRs and highest overall SVIIMR; specifically, highest vulnerability to poverty, no high school diploma, and mobile housing. In contrast, extreme northwestern counties exhibited high IMRs but lower overall SVIIMR. Spatial regression showed five clusters where vulnerability to low per capita income in one county significantly impacted IMR (p = 0.001) in the neighboring counties within each cluster. At the census tract-level within Lucas county, the Toledo city area (compared to the remaining county) had higher overlap between high IMR and SVIIMR. CONCLUSION: The application of SVI using geospatial techniques could identify priority areas, where social factors are increasing the vulnerability to infant mortality rates, for potential interventions that could reduce disparities through strategic and equitable policies.

Ohio pharmacy personnel's burnout and wellbeing: The impact of the COVID-19 pandemic.

BACKGROUND: While burnout is a well-known phenomenon among physicians and nurses, burnout among pharmacists and pharmacy personnel is understudied and less recognized. OBJECTIVES: The primary objectives of this study were to describe and compare Ohio pharmacy personnel's self-reports of burnout and wellbeing prior to and during the COVID-19 pandemic. METHODS: A one-time online survey was completed by over 13,000 health care professionals in Ohio in July and August 2021. This brief report describes a subanalysis of the 1452 participating pharmacy professionals licensed by the State of Ohio Board of Pharmacy. RESULTS: Most survey respondents identified as White (90.84%) and female (70.04%), including pharmacists (59.16%) and pharmacy technicians (38.15%). Findings demonstrated a 360.55% increase in feeling emotionally drained "every day" during the pandemic. Participants felt emotionally drained more frequently; cared less about what happened to patients; felt less accomplished; felt down, depressed, or hopeless more frequently; had more thoughts of suicide; and were more concerned about their substance use during the pandemic than prior to it. CONCLUSION: Pharmacy personnel are experiencing some dimensions of burnout and poor wellbeing more frequently. These issues were present prior to the COVID-19 pandemic and now require even swifter attention as outcomes have worsened. Increased awareness of burnout among pharmacy personnel is required. Additionally, policy and organizational interventions are recommended to improve pharmacy personnel wellbeing.

Evaluating the type of pediatric dental care use in the context of neighborhood opportunity.

BACKGROUND: Increasing evidence supports the influence of neighborhood factors on health care use and outcomes. This study measured the association between area-level social determinants of health (SDH) and type of dental care use among Ohio pediatric Medicaid beneficiaries. METHODS: A retrospective dental claims analysis was completed for children aged 1 through 5 years enrolled in Ohio Medicaid with a dental visit in 2017. Dental care use was measured from 2017 through 2021 as 1 of 4 visit types: (1) preventive, (2) caries treatment, (3) dental general anesthesia (GA), and (4) dental emergency department. The Ohio Children's Opportunity Index defined area-level SDH at the census tract level. Exploratory analysis included descriptive statistics of area-level SDH for each outcome. Poisson regression models were developed to examine the associations between the number of each dental care use outcome and Ohio Children's Opportunity Index quintiles. Visualizations were facilitated with geospatial mapping. RESULTS: Fifty-six percent of children (10,008/17,675) had caries treatment visits. Overall area-level SDH were positively associated with preventive (fifth vs first quintile incidence rate ratio [IRR], 1.09; 95% CI, 1.07 to 1.12), caries treatment (fifth vs first quintile IRR, 1.16; 95% CI, 1.08 to 1.24), and dental GA visits (fifth vs first quintile IRR, 2.13; 95% CI, 1.13 to 4.01). CONCLUSIONS: Children with preventive, caries treatment, and dental GA visits were more likely to live in neighborhoods with better SDH. Future efforts should investigate the mechanisms by which area-level factors influence dental access and use. PRACTICAL IMPLICATIONS: Neighborhood factors influence pediatric dental care use. Patient home addresses might add value to caries risk assessment tools and efforts by care networks to optimize efficient care use.

Evaluation of contingency actions to control the spread of raccoon rabies in Ohio and Virginia.

The raccoon (Procyon lotor) variant of the rabies virus (RRV) is enzootic in the eastern United States and oral rabies vaccination (ORV) is the primary strategy to prevent and control landscape spread. Breaches of ORV management zones occasionally occur, and emergency "contingency" actions may be implemented to enhance local control. Contingency actions are an integral part of landscape-scale wildlife rabies management but can be very costly and routinely involve enhanced rabies surveillance (ERS) around the index case. We investigated two contingency actions in Ohio (2017-2019 and 2018-2021) and one in Virginia (2017-2019) using a dynamic, multi-method occupancy approach to examine relationships between specific management actions and RRV occurrence, including whether ERS was sufficient around the index case. The RRV occupancy was assessed seasonally at 100-km2 grids and we examined relationships across three spatial scales (regional management zone, RRV free regions, and local contingency areas). The location of a grid relative to the ORV management zone was the strongest predictor of RRV occupancy at the regional scale. In RRV free regions, the neighbor effect and temporal variability were most important in influencing RRV occupancy. Parenteral (hand) vaccination of raccoons was important across all three contingency action areas, but more influential in the Ohio contingency action areas where more raccoons were hand vaccinated. In the Virginia contingency action area, ORV strategies were as important in reducing RRV occupancy as a hand vaccination strategy. The management action to trap, euthanize, and test (TET) raccoons was an important method to increase ERS, yet the impacts of TET on RRV occupancy are not clear. The probability of detecting additional cases of RRV was exceptionally high (>0.95) during the season the index case occurred. The probability of detecting RRV through ERS declined in the seasons following initial TET efforts but remained higher after the contingency action compared to the ERS detection probabilities prior to index case incidence. Local RRV cases were contained within one year and eliminated within 2-3 years of each contingency action.

Geographic Differences in Preconception Health Indicators Among Ohio Women Who Delivered Live Births, 2019-2021.

To determine whether geographic differences in preconception health indicators exist among Ohio women with live births, we analyzed 9 indicators from the 2019-2021 Ohio Pregnancy Assessment Survey (N = 14,377) by county type. Appalachian women reported lower rates of folic acid intake and higher rates of depression than women in other counties. Appalachian and rural non-Appalachian women most often reported cigarette use. Suburban women reported lower rates of diabetes, hypertension, and unwanted pregnancy than women in other counties. Preconception health differences by residence location suggest a need to customize prevention efforts by region to improve health outcomes, particularly in regions with persistent health disparities.

Using State Agency Reports to Augment Ohio's Agricultural Injury Surveillance Efforts.

BACKGROUND: Agriculture is a hazardous industry with undocumented injury events. Credible surveillance measures are critical for this industry, especially to guide injury prevention programs with targeted recommendations for specific commodity groups and populations. This multi-phase study explored the feasibility for two state agency databases, the Ohio Bureau of Workers' Compensation (BWC) Program and the Emergency Medical Services Incident Reporting System (EMSIRS), to augment the state's Bureau of Labor Statistics (BLS) annual reports. METHODS: BWC data described injury claims in agricultural workplaces from 1999 to 2008. State EMSIRS data described the types of medical emergencies for which EMS services were requested to Ohio farms in 2013-2014. Descriptive analyses were performed on each distinctive source. RESULTS: Over 14,000 BWC claims were analyzed, with primary nature of injury identified as sprains and strains of bodily extremities; falls were the most common cause of injury. The EMSIRS data provided 1,376 cases, where EMS services were requested to Ohio farms at injury onset. Some cases had possibility to be excluded in CFOI or employment claims data, with 24% patients 65 years and older and 6% children 13 years and younger. The primary cause of injury was falls, and the highest reported injury type was blunt trauma. CONCLUSIONS: Both BWC and EMSIRS databases showed the potential to enhance Ohio's agricultural surveillance data with viable information not found in previously used systems. Each agency database had its own merits to further clarify and quantify morbidity. When used together, these sources enrich surveillance statistics to describe Ohio's agricultural injury incidents.

The impact of fentanyl on state- and county-level psychostimulant and cocaine overdose death rates by race in Ohio from 2010 to 2020: a time series and spatiotemporal analysis.

BACKGROUND: Over the past decade in the USA, increases in overdose rates of cocaine and psychostimulants with opioids were highest among Black, compared to White, populations. Whether fentanyl has contributed to the rise in cocaine and psychostimulant overdoses in Ohio is unknown. We sought to measure the impact of fentanyl on cocaine and psychostimulant overdose death rates by race in Ohio. METHODS: We conducted time series and spatiotemporal analyses using data from the Ohio Public Health Information Warehouse. Primary outcomes were state- and county-level overdose death rates from 2010 to 2020 for Black and White populations. Measures of interest were overdoses consisting of four drug involvement classes: (1) all cocaine overdoses, (2) cocaine overdoses not involving fentanyl, (3) all psychostimulant overdoses, and (4) psychostimulant overdoses not involving fentanyl. We fit a time series model of log standardized mortality ratios (SMRs) using a Bayesian generalized linear mixed model to estimate posterior median rate ratios (RR). We conducted a spatiotemporal analysis by modeling the SMR for each drug class at the county level to characterize county-level variation over time. RESULTS: In 2020, the greatest overdose rates involved cocaine among Black (24.8 deaths/100,000 people) and psychostimulants among White (10.1 deaths/100,000 people) populations. Annual mortality rate ratios were highest for psychostimulant-involved overdoses among Black (aRR = 1.71; 95% CI (1.43, 2.02)) and White (aRR = 1.60, 95% CI (1.39, 1.80)) populations. For cocaine not involving fentanyl, annual mortality rate ratios were similar among Black (aRR = 1.04; 95% CI (0.96,1.16)) and White (aRR = 1.02; 95% CI (0.87, 1.20)) populations. Within each drug category, change over time was similar for both racial groups. The spatial models highlighted county-level variation for all drug categories. CONCLUSIONS: Without the involvement of fentanyl, cocaine overdoses remained constant while psychostimulant overdoses increased. Tailored harm reduction approaches, such as distribution of fentanyl test strips and the removal of punitive laws that influence decisions to contact emergency services, are the first steps to reduce cocaine overdose rates involving fentanyl among urban populations in Ohio. In parallel, harm reduction policies to address the increase in psychostimulant overdoses are warranted.

Initiation of Breast Cancer Screening at a Later Age May Disproportionately Impact Minority Groups: Review of Ohio Data (1996-2022).

Among women with breast cancer, delays in diagnosis and earlier presentation have been documented among minority women. Consequently, initiation of breast cancer screening at a later age may disproportionately harm minority groups. This study seeks to determine whether minority women face a higher proportional risk of younger age breast cancer than their White peers. Using publicly available data from the Ohio Department of Public Health Data Warehouse, we constructed a database allowing for retrospective evaluation of all breast cancer patients in the state of Ohio from 1996 to 2020. White women represented the bulk of total breast cancer cases in each age group and overall; however, the proportion of cancers attributable to White women increased in each successively older cohort group: 80.7% of cases under age 40 up to 91.3% of the 80 or older group. By a significant margin, the opposite is true in minority groups with African American women accounting for 15% of cases under the age of 40, trending down to 7.8% of the 80 and older group. Comparison of the proportions of these groups demonstrates statistically significant proportional decreases among minority groups and statistically significant increases among White women. Our findings suggest that women of color in the Ohio population face a disproportionately high risk of being diagnosed with younger age breast cancer and support the findings of other authors who recommend tailoring breast cancer screening by racial cohort. Efforts should be made to promote younger-age screening for minority women to prevent disproportionate harm.

Beyond linear regression: Modeling COVID-19 clinical cases with wastewater surveillance of SARS-CoV-2 for the city of Athens and Ohio University campus.

Wastewater-based surveillance has emerged as a detection tool for population-wide infectious diseases, including coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Infected individuals shed the virus, which can be detected in wastewater using molecular techniques such as reverse transcription-digital polymerase chain reaction (RT-dPCR). This study examined the association between the number of clinical cases and the concentration of SARS-CoV-2 in wastewater beyond linear regression and for various normalizations of viral loads. Viral loads were measured in a total of 446 wastewater samples during the period from August 2021 to April 2022. These samples were collected from nine different locations, with 220 samples taken from four specific sites within the city of Athens and 226 samples from five sites within Ohio University. The correlation between COVID-19 cases and wastewater viral concentrations, which was estimated using the Pearson correlation coefficient, was statistically significant and ranged from 0.6 to 0.9. In addition, time-lagged cross correlation was applied to identify the lag time between clinical and wastewater data, estimated 4 to 7 days. While we also explored the effect on the correlation coefficients of various normalizations of viral loads accounting for procedural loss or amount of fecal material and of estimated lag times, these alternative specifications did not change our substantive conclusions. Additionally, several linear and non-linear regression models were applied to predict the COVID-19 cases given wastewater data as input. The non-linear approach was found to yield the highest R-squared and Pearson correlation and lowest Mean Absolute Error values between the predicted and actual number of COVID-19 cases for both aggregated OHIO Campus and city data. Our results provide support for previous studies on correlation and time lag and new evidence that non-linear models, approximated with artificial neural networks, should be implemented for WBS of contagious diseases.

Need for Improved Timeliness of Reporting on Drug Overdose Fatalities: The HEALing Communities Study.

OBJECTIVE: Timely data on drug overdose deaths can help identify community needs, evaluate the effectiveness of interventions, and allocate resources. We identified variations in death investigation and reporting systems within and between states that affect the timeliness and accuracy of death certificate information. METHODS: The HEALing Communities Study (HCS) is a community-engaged, data-driven approach to combating the opioid crisis in 67 communities in 4 states: Kentucky, Massachusetts, New York, and Ohio. HCS conducted a survey of coroners and medical examiners to understand variability in drug overdose death data. We compared survey results in Massachusetts, New York, and Ohio with national data to investigate the completeness of provisional death counts by type of death investigation system. RESULTS: Communities in each HCS state had different ways of collecting and reporting mortality data. Completion of death certificates for drug overdoses ranged from <2 weeks in 23% (7 of 31) of those surveyed to more than 3 months in 10% (3 of 31) of those surveyed. Variabilities in the timeliness of reporting drug overdose deaths were not associated with type of coroner or medical examiner office in each state, urban versus rural setting, or specificity of drug information on the death certificate. CONCLUSION: Having specific drug information on the death certificate may increase death certificate quality, comparability, and accuracy. We recommend the following: (1) all coroners and medical examiners should be trained on conducting death investigations, interpreting toxicology reports, and completing death certificates; (2) 1 office in each state should oversee all coroners and medical examiners to increase data consistency; and (3) communities should identify and address barriers to timely death certification.

Maternal and Infant Pathways HUB in NE Ohio: Influence on Birth Outcomes.

INTRODUCTION: This investigation examines the outcomes of the Pathways HUB Community Action, a Maternal and Infant Mortality HUB in NE Ohio. The purpose of a HUB is to provide a one-stop point of contact for primarily minority pregnant women who are low-income and are at high risk for pregnancy complications. As a HUB client, each mother is assigned a community health worker who provides wrap-around support across 20 identified areas of potential need. METHODS: The focus of this evaluation is on the women who were enrolled in the PHCA and gave birth between 2016 and 2020. Pre-existing data was used to examine the association between mother variables and birth outcomes using odds ratio and correlation analysis. RESULTS: Using a within-subjects design, results indicate that there is no significant association between preterm rates for women who have previously experienced one or more preterm deliveries. Likewise, results indicate that there is no significant association on the birth weight of infants of enrolled women who have previously given birth to a low-birth-weight infant. Results indicate that there is a strong significant association between 1st and 2nd-trimester enrollee's dosage of PHCA services and supports and positive birth outcomes. DISCUSSION: These findings suggest that the PHCA is providing needed support and assistance to at-risk pregnant women who are mitigating the likelihood of repeated preterm and low-weight births, therefore lowering the likelihood of infant mortality for their clients in Summit County.

This research is the first known study to investigate the impact of HUB services in reducing infant mortality. Since preterm births are the greatest predictor of infant mortality, reducing the number of preterm births can result in better outcomes. Prior preterm births, for those women receiving support from the PHCA, is not longer a significant predictor of another preterm birth.

A multisectoral approach to developing a state-level foreign animal disease response plan: the Ohio African Swine Fever Response Plan Workshop.

Foreign animal disease (FAD) preparedness is a high priority for state and federal governments to ensure the protection of the nation's livestock industry. Highly contagious diseases such as African swine fever (ASF) have been the focus of recent advancements in FAD preparedness, including the development of disease-specific response plans. At the state level, FAD response plans provide a framework to help ensure a rapid and coordinated response that considers the resources and realities of that state; however, preparing a comprehensive plan requires collaboration across multiple agencies and sectors that can be difficult to operationalize. To initiate systematic state-level ASF response plan writing and identify gaps in preparedness, university and industry stakeholders partnered with the Ohio Department of Agriculture and USDA to develop the Ohio African Swine Fever Response Plan Workshop. A linear planning model was used to implement the workshop in May 2021. All planning and workshop activities were conducted fully virtually, prompted by public health restrictions in response to COVID-19. Sixty-four participants, representing multiple sectors and stakeholder groups including state/federal/industry animal health officials, emergency management, environmental protection, and academia, contributed to the workshop. Spanning 3 days, participants identified current response capabilities and areas requiring additional planning for an effective state-level response. The workshop generated recommendations from a multisectoral perspective for subcommittees tasked with developing standard operating procedures for the Ohio ASF Response Plan. The methodology and resources used to plan, implement, and evaluate the workshop are described to provide a model for state-level response planning.

Substance Use, Sleep Duration, and Health Among Adults in Ohio.

Introduction: Substance use affects approximately 46.3 million people aged 12 years or older (16.5% of the US population) and is associated with poor sleep health overall. Methods: We conducted a cross-sectional secondary analysis of data from the 2020 Behavioral Risk Factor Surveillance System survey in Ohio. The sample comprised 14,676 adults. We examined associations between the use of 2 types of substances (marijuana and nonprescribed prescription pain medication) and short sleep duration (<6 hours per night) and overall health (mental, physical, and general). We used linear and logistic regression modeling while adjusting for individual-level (age, sex, race and ethnicity, education, income, and body mass index) and area-level (socioeconomic deprivation) covariates. Results: Of survey respondents who answered questions, 9.2% (1,140 of 12,362) reported using marijuana, and 1.4% (111 of 8,203) used nonprescribed prescription pain medication. Respondents who used marijuana used it an average 17.3 days per month. In adjusted logistic regression models, the odds of reporting short sleep duration were 2.4 times greater among respondents who used nonprescribed prescription pain medication (vs those who did not). The odds of reporting short sleep duration, poor mental health, poor physical health, and poor general health were 1.5, 1.3, 2.1, and 1.9 times greater, respectively, among respondents who reported marijuana use (vs those who did not). In the linear regression models (adjusted), more days of marijuana use were associated with longer sleep duration, worse mental health, and worse general health. Conclusion: Understanding the connection between substance use and health outcomes is needed to improve trajectories of substance use and recovery. Sleep duration is often underassessed among people who use substances. Expanding diagnostics and treatment options for those who use substances may result in lower levels of substance use and improved overall health.

Geographic Distribution of Social Service Resources for Stroke Survivors in Ohio Varies by Rurality.

BACKGROUND: Both social service resources and stroke prevalence vary by geography, and health care resources are scarcer in rural areas. We assessed whether distributions of resources relevant to stroke survivors were clustered around areas of the highest stroke prevalence in Ohio and whether this is varied by rurality using an ecological study design. METHODS: Census tract (CT)-level self-reported stroke prevalence estimates (Centers for Disease Control and Prevention PLACES-2019 Behavioral Risk Factor Surveillance System) were linked with sociodemographic and rurality data (2019 American Community Survey) and geographic density of resources in Ohio (2020 findhelp data). Resources were grouped into categories: housing, in-home, financial, transportation, education, and therapy. Negative binomial regression models estimated the mean number of resources within 25 miles and 30 minutes of a CT centroid and quartiles of stroke prevalence for each resource group by rurality status (rural, urban, and suburban). Models were sequentially adjusted for total population and CT demographics. RESULTS: In Ohio, stroke prevalence was 3.9% (0.4%-14.2%). The highest stroke prevalence quartile (versus lowest) was associated with fewer resources within 25 miles overall (resource ratio [RR], 0.57-0.98). The most pronounced disparities were in rural CT; rural CTs with the highest quartile stroke prevalence had fewer housing (RR, 0.49 [95% CI, 0.32-0.75]), in-home (RR, 0.31 [95% CI, 0.20-0.49]), and therapy (RR, 0.23 [95% CI, 0.13-0.43]) resources compared with those with the lowest quartile stroke prevalence (reference: mean, 1.2 housing, 5.1 in-home, and 4.9 therapy resources, respectively). Rural disparities no longer persisted after adjustment for federal poverty limit (rural: housing [RR, 0.69 (95% CI, 0.40-1.20)], in-home [RR, 0.65 (95% CI, 0.34-1.23)], and therapy [RR, 0.66 (95% CI, 0.33-1.32)]). CONCLUSIONS: Stroke social service resources are inversely distributed relative to stroke prevalence in Ohio, particularly in rural areas. This inverse link in rural Ohio is likely explained by geographic differences in poverty. Stroke-specific resource-related interventions may be needed and should consider the roles of rurality and poverty.

Clinical and molecular characteristics of the 2022 Enterovirus-D68 outbreak among hospitalized children, Ohio, USA.

BACKGROUND: Enterovirus-D68 (EV-D68) has appeared biennially in the United States following the 2014 outbreak. It has gained epidemiologic and clinical relevance and was identified as an important pathogen associated with severe respiratory and central nervous system diseases. We aim to describe the clinical and molecular characteristics of the post-pandemic 2022 Enterovirus-D68 outbreak in children evaluated in a tertiary pediatric hospital in Columbus, Ohio. METHODS: EV-D68 RT-PCR was performed on nasopharyngeal specimens collected during Jun-Nov 2022 from children (<18 years), identified by 1) physician-order or 2) random selection of 10-15 specimens weekly that were Rhinovirus/Enterovirus-positive by physician-ordered respiratory virus panel. Patients who tested positive for EV-D68 were identified and clinical data and outcomes were analyzed. Partial viral VP1 region was sequenced and characterized. RESULTS: Forty-four children positive for EV-D68 were identified, among which 88.6 % of patients presented with respiratory symptoms and 61.4 % required PICU admission. Two patients presented with AFM that was attributed to EV-D68. EV-D68 sequences from 2022 clustered within the B3 subclade. CONCLUSIONS: A significant proportion of children identified with EV-D68 during the 2022 outbreak had respiratory compromise requiring PICU admission. As the virus continues evolving, it is important to monitor the activity of EV-D68, characterizing these strains clinically and genetically, which will help to understand the viral pathogenicity and virulence.