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INTRODUCTION: The Appalachia region of North America is known to have significant health disparities, specifically, worse risk factors and outcomes for stroke. Appalachians are more likely to have comorbidities related to stroke, such as diabetes, obesity, and tobacco use, and are often less likely to have stroke interventions, such as mechanical thrombectomy (MT), for emergent large vessel occlusion (ELVO). As our Comprehensive Stroke Center directly serves stroke subjects from both Appalachian and non-Appalachian areas, inflammatory proteomic biomarkers were identified associated with stroke outcomes specific to subjects residing in Appalachia. METHODS: There were 81 subjects that met inclusion criteria for this study. These subjects underwent MT for ELVO, and carotid arterial blood samples acquired at time of intervention were sent for proteomic analysis. Samples were processed in accordance with the Blood And Clot Thrombectomy Registry And Collaboration (BACTRAC; clinicaltrials.gov; NCT03153683). Statistical analyses were utilized to examine whether relationships between protein expression and outcomes differed by Appalachian status for functional (NIH Stroke Scale; NIHSS and Modified Rankin Score; mRS), and cognitive outcomes (Montreal Cognitive Assessment; MoCA). RESULTS: No significant differences were found in demographic data or co-morbidities when comparing Appalachian to non-Appalachian subjects. However, time from stroke onset to treatment (last known normal) was significantly longer and edema volume significantly higher in patients from Appalachia. Further, when comparing Appalachian to non-Appalachian subjects, there were significant unadjusted differences in the NIHSS functional outcome. A comprehensive analysis of 184 proteins from Olink proteomic (92 Cardiometabolic and 92 Inflammation panels) showed that the association between protein expression outcomes significantly differed by Appalachian status for seven proteins for the NIHSS, two proteins for the MoCA, and three for the mRS. CONCLUSION: Our study utilizes an ELVO tissue bank and registry to investigate the intracranial/intravascular proteomic environment occurring at the time of thrombectomy. We found that patients presenting from Appalachian areas have different levels of proteomic expression at the time of MT when compared to patients presenting from non-Appalachian areas. These proteins differentially relate to stroke outcome and could be used as prognostic biomarkers, or as targets for novel therapies. The identification of a disparate proteomic response in Appalachian patients provides initial insight to the biological basis for health disparity. Nevertheless, further investigations through community-based studies are imperative to elucidate the underlying causes of this differential response.

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Background: Alzheimer's disease and related dementias (ADRD) prevalence varies geographically in the United States. Objective: To assess whether the geographic variation of ADRD in Central Appalachia is explained by county-level sociodemographics or access to care. Methods: Centers for Medicare and Medicaid Services Public Use Files from 2015- 2018 were used to estimate county-level ADRD prevalence among all fee-for-service (FFS) beneficiaries with≥1 inpatient, skilled nursing facility, home health agency, hospital outpatient or Carrier claim with a valid ADRD ICD-9/10 code over three-years in Central Appalachia (Kentucky, North Carolina, Ohio, Tennessee, Virginia, and West Virginia). Negative binomial regression was used to estimate prevalence overall, by Appalachian/non-Appalachian designation, and by rural/urban classification. Models were then adjusted for county-level: 1) FFS demographics (age, gender, and Medicaid eligibility), comorbidities; 2) population sociodemographics (race/ethnicity, education, aging population distribution, and renter-occupied housing); and 3) diagnostic access (PCP visits, neurology visits, and imaging scans). Results: Across the 591 counties in the Central Appalachian region, the average prevalence of ADRD from 2015- 2018 was 11.8%. ADRD prevalence was modestly higher for Appalachian counties both overall (PR: 1.03; 95% CI: 1.02, 1.04) and after adjustment (PR: 1.02; 95% CI: 1.00, 1.03) compared to non-Appalachian counties. This difference was similar among rural and urban counties (p = 0.326) but varied by state (p = 0.004). Conclusions: The relative variation in ADRD prevalence in the Appalachian region was smaller than hypothesized. The case mixture of the dual eligible population, accuracy of the outcome measurement, and impact of educational attainment in this region may contribute to this observation.

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OBJECTIVES: Previous radiologic and histopathologic studies suggest respirable crystalline silica (RCS) overexposure has been driving the resurgence of pneumoconiosis among contemporary US coal miners, with a higher prevalence of severe disease in Central Appalachia. We sought to better understand RCS exposure among US underground coal miners. METHODS: We analysed RCS levels, as measured by respirable quartz, from coal mine dust compliance data from 1982 to 2021. RESULTS: We analysed 322 919 respirable quartz samples from 5064 US underground coal mines. Mean mine-level respirable quartz percentage and mass concentrations were consistently higher for Central Appalachian mines than the rest of the USA. Mean mine-level respirable quartz mass concentrations decreased significantly over time, from 0.116 mg/m3 in 1982 to as low as 0.017 mg/m3 for Central Appalachian mines, and from 0.089 mg/m3 in 1983 to 0.015 mg/m3 in 2020 for the rest of the USA. Smaller mine size, location in Central Appalachia, lack of mine safety committee and thinner coal seams were predictive of higher respirable quartz mass concentrations. CONCLUSIONS: These data substantially support the association between RCS overexposure and the resurgence of coal workers' pneumoconiosis in the USA, particularly in smaller mines in Central Appalachia.

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Rural Appalachian adolescents are disproportionately affected by alcohol misuse, depression, and mortality rates. Disparities in Appalachia influence national health indicators and the social determinants of health, which may lead to marginalization and vulnerability to poorer health outcomes. Geographic and social isolation often results in missed opportunities for preventative and mental health care. There are an estimated 35% fewer mental health providers in rural areas to deal with these issues. This article examines the influence of marginalization on rural Appalachian adolescents. A case example was used to describe rural Appalachian adolescent alcohol misuse within the context of the Triple Threat for Marginalization, utilizing conversation within a natural setting. Marginalization contributes to alcohol misuse and adverse health outcomes. Nurses must advocate for marginalized rural adolescent patients to decrease alcohol misuse, depression, and mortality rates in this vulnerable population.

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BACKGROUND: Prior studies have shown that individuals and their peers often have similar substance use behaviors, but the mechanisms driving these similarities - particularly in rural settings, are not well understood. The primary objectives of this analysis are to (1) identify factors that contribute to relationship turnover and maintenance within a rural network of persons who use drugs (PWUD), (2) determine whether assimilation and/or homophily shape participants use of injection drugs, heroin, and stimulants (methamphetamine and cocaine), and (3) assess the extent that these mechanisms influence networks ties and/or behaviors and whether these effects vary across time. METHODS: Sociometric network data were collected from a cohort of PWUD in rural Eastern Kentucky at baseline (2008-2010) and at four follow-up visits conducted approximately semiannually. Stochastic actor-oriented models (SAOMS) were used to model network structure and participant behaviors as jointly dependent variables and to identify characteristics associated with the maintenance, dissolution, and formation of network ties and changes in drug use behaviors. RESULTS: Findings suggest (1) greater network stability over time for reciprocal and transitive relationships, (2) both homophily and assimilation played a greater role in shaping injection drug use (IDU) initiation and cessation than they did in shaping heroin and stimulant use, and (3) the importance of these mechanisms appeared consistent over time. CONCLUSION: Given the stability of particular network structures and evidence of both homophily and assimilation with respect to drug-use behaviors, interventions that leverage social networks could be used to motivate health-promoting behaviors.

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OBJECTIVES: In the US, violations of drinking water regulations are highest in lower-income rural areas overall, and particularly in Central Appalachia. However, data on drinking water use, quality, and associated health outcomes in rural Appalachia are limited. We sought to assess public and private drinking water sources and associated risk factors for waterborne pathogen exposures for individuals living in rural regions of Appalachian Virginia. METHODS: We administered surveys and collected tap water, bottled water, and saliva samples in lower-income households in two adjacent rural counties in southwest Virginia (bordering Kentucky and Tennessee). Water samples were tested for pH, temperature, conductivity, total coliforms, E. coli, free chlorine, nitrate, fluoride, heavy metals, and specific pathogen targets. Saliva samples were analyzed for antibody responses to potentially waterborne infections. We also shared water analysis results with households. RESULTS: We enrolled 33 households (83 individuals), 82% (n = 27) with utility-supplied water and 18% with private wells (n = 3) or springs (n = 3). 58% (n = 19) reported household incomes of <$20,000/year. Total coliforms were detected in water samples from 33% (n = 11) of homes, E. coli in 12%, all with wells or springs (n = 4), and Aeromonas, Campylobacter, and Enterobacter in 9%, all spring water (n = 3). Diarrhea was reported for 10% of individuals (n = 8), but was not associated with E. coli detection. 34% (n = 15) of saliva samples had detectable antibody responses for Cryptosporidium spp., C. jejuni, and Hepatitis E. After controlling for covariates and clustering, individuals in households with septic systems and straight pipes had significantly higher likelihoods of antibody detection (risk ratios = 3.28, 95%CI = 1.01-10.65). CONCLUSIONS: To our knowledge, this is the first study to collect and analyze drinking water samples, saliva samples, and reported health outcome data from low-income households in Central Appalachia. Our findings indicate that utility-supplied water in this region was generally safe, and individuals in low-income households without utility-supplied water or sewerage have higher exposures to waterborne pathogens.

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INTRODUCTION: The prevalence of type 2 diabetes (T2D) is 17% higher in rural dwellers compared to their urban counterparts, and it increases with age, with an estimated 25% of older adults (≥ 65 years) diagnosed. Appropriate self-care is necessary for optimal clinical outcomes. Overall, T2D self-care is consistently poor among the general population but is even worse in rural-dwellers and older adults. In rural Kentucky, up to 23% of adults in Appalachian communities have been diagnosed with T2D and, of those, 26.8% are older adults. To attain optimal clinical outcomes, social environmental factors, including social support, are vital when promoting T2D self-care. Specifically, peer support has shown to be efficacious in improving T2D self-care behaviors and clinical and psychosocial outcomes related to T2D; however, literature also suggests self-selected social support can be obstructive when engaging in healthful activities. Currently available evidence-based interventions (EBIs) using peer support have not been used to prioritize older adults, especially those living in rural communities. METHOD: To address this gap, we conducted formative research with stakeholders, and collaboratively identified an acceptable and feasible peer support EBI-peer health coaching (PHC)-that has resulted in improved clinical and psychosocial T2D-related outcomes among participants who did not reside in rural communities nor were ≥65 years. The goal of the proposed study is to use a 2x2 factorial design to test the adapted PHC components and determine their preliminary effectiveness to promote self-care behaviors and improve glycemic control among older adults living in Appalachian Kentucky. Testing the PHC components of the peer support intervention will be instrumental in promoting care for older adults in Appalachia, as it will allow for a larger scale intervention, which if effective, could be disseminated to community partners in Appalachia. TRIAL REGISTRATION: This study was registered at www.clinicaltrials.gov (NCT06003634) in August 2023.

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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.

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BACKGROUND: Rural and low-income pediatric populations are at higher risk for trauma. Craniomaxillofacial (CMF) trauma in this population has not been studied. PURPOSE: This study's purpose was to determine if rural populations or low-income populations are at higher risk for pediatric CMF trauma than urban or high-income populations, respectively, and to determine differences in mechanism of injury (MOI). STUDY DESIGN, SETTING, SAMPLE: A retrospective cohort study of CMF trauma patients younger than 17 years-old, living in the region served by one institution in Tennessee, and requiring oral and maxillofacial surgery consultation between January 2011 and December 2022 was performed. Exclusion criteria were incomplete medical records. PREDICTOR VARIABLE: The primary predictor variable was geographic residence of the patient grouped into two categories: rural or urban defined by the state of Tennessee. Secondary variables were postal code (PC) average median household income (MHI) and PC population density. MAIN OUTCOME VARIABLE(S): The main outcome variable was pediatric CMF injury rate per 100,000 people. MOI is a secondary outcome variable. COVARIATE(S): Covariates included sex, age, and race. ANALYSES: Frequencies and percentages, Fisher's exact test, and Poisson regression models were utilized. Statistical significance was assumed at P-value <.05. RESULTS: Rural or urban county designation was not associated with differing trauma rates (incident risk ratio (IRR) = 0.91; 95% confidence interval (CI) 0.78 to 1.05; P = .18) by itself. One standard deviation increase in MHI decreased CMF trauma rates in rural designation counties by 24% (IRR: 0.76, 95% CI: 0.66, 0.88) and 6% in urban designation counties (IRR: 0.94, 95% CI: 0.87, 1.02). Lower rates of CMF trauma were associated with residence in higher income PCs (IRR = 0.91; 95% (CI) 0.86 to 0.97; P = .004), and higher population density (IRR = 0.87; 95% CI 0.79 to 0.94; P < .001). Dog bites and falls were more common in infancy and early childhood. Interpersonal violence was more common in older patients. CONCLUSIONS AND RELEVANCE: Patients in PCs with lower population density or incomes were at highest risk for CMF injuries. MOI differences by age were similar to findings in other studies. Tennessee's urban/rural county designation has complex interactions with MHI and pediatric CMF trauma rates.

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INTRODUCTION: Pediatric and young adult brain tumors (PYBT) account for a large share of cancer-related morbidity and mortality among children in the United States, but their etiology is not well understood. Previous research suggests the Appalachian region of Kentucky has high rates of PYBT. This study explored PYBT incidence over 25 years in Kentucky to identify geographic and temporal trends and generate hypotheses for future research. METHODS: The Kentucky Cancer Registry contributed data on all PYBT diagnosed among those aged 0-29 during years 1995-2019. Age- and sex-adjusted spatio-temporal scan statistics-one for each type of PYBT, and one for all types-comprised the primary analysis. These results were mapped along with environmental and occupational data. RESULTS: Findings indicated that north-central Kentucky and the Appalachian region experienced higher rates of some PYBT. High rates of astrocytomas were clustered in a north-south strip of central Kentucky toward the end of the study period, while high rates of other specified types of intracranial and intraspinal neoplasms were significantly clustered in eastern Kentucky. The area where these clusters overlapped, in north-central Kentucky, had significantly higher rates of PYBT generally. DISCUSSION: This study demonstrates north-central Kentucky and the Appalachian region experienced higher PYBT risk than the rest of the state. These regions are home to some of Kentucky's signature industries, which should be examined in further research. Future population-based and individual-level studies of genetic factors are needed to explore how the occupations of parents, as well as prenatal and childhood exposures to pesticides and air pollutants, impact PYBT incidence.

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PURPOSE: Cancer is the second leading cause of death in the United States, and the disease burden is elevated in Appalachian Kentucky, due in part to health behaviors and inequities in social determinants of health. This study's goal was to evaluate Appalachian Kentucky's cancer burden compared to non-Appalachian Kentucky, and Kentucky compared to the United States (excluding Kentucky). METHODS: The following data were analyzed: annual all-cause and all-site cancer mortality rates from 1968 to 2018; 5-year all-site and site-specific cancer incidence and mortality rates from 2014 to 2018; aggregated screening and risk factor data from 2016 to 2018 for the United States (excluding Kentucky), Kentucky, non-Appalachian Kentucky, and Appalachian Kentucky; and human papilloma virus vaccination prevalence by sex from 2018 for the United States and Kentucky. FINDINGS: Since 1968, the United States has experienced a large decrease in all-cause and cancer mortality, but the reduction in Kentucky has been smaller and slower, driven by even smaller and slower reductions within Appalachian Kentucky. Appalachian Kentucky has higher overall cancer incidence and mortality rates and higher rates for several site-specific cancers compared to non-Appalachian Kentucky. Contributing factors include screening rate disparities and increased rates of obesity and smoking. CONCLUSIONS: Appalachian Kentucky has experienced persistent cancer disparities, including elevated all-cause and cancer mortality rates for 50+ years, widening the gap between this region and the rest of the country. In addition to addressing social determinants of health, increased efforts aimed at improving health behaviors and increased access to health care resources could help reduce this disparity.

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Gay, bisexual, queer, and other men who have sex with men (GBQMSM) and transgender and nonbinary persons are at elevated risk for HIV, sexually transmitted infections (STIs), and hepatitis C (HCV); in Appalachia, these communities experience more disease burden. However, little is known about the factors influencing risk. Sixteen semistructured in-depth interviews were conducted examining factors influencing prevention and care. Data were analyzed using constant comparison methodology. Fifteen themes emerged within four domains: social environment (e.g., microaggressions across gender, sexual orientation, and racial identities), substance use (e.g., high prevalence, use as coping mechanism), sexual health (e.g., misinformation and denial of risk for HIV and STIs), and access to health care (e.g., cost and transportation barriers, lack of local respectful care). Findings highlighted salient barriers and assets influencing prevention and care and suggest that multilevel interventions are needed to improve access to and use of HIV, STI, and HCV prevention and care services.

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CONTEXT: Diabetes poses a significant threat to public health in the United States, with an estimated total prevalence of 37.3 million individuals in 2019, of which 28.7 million were diagnosed and 8.5 million remained undiagnosed. The high prevalence of diabetes imposes a considerable economic burden on the U.S. healthcare system. Appalachian Ohio is disproportionately impacted with southeastern Ohio exhibiting a diabetes prevalence that exceeds the national average by more than twofold and a critical shortage of healthcare providers. OBJECTIVE: To quantify the associations between diabetes prevalence and incidence in Ohio counties, considering various factors that impact health and quality-of-life outcomes. METHODS: The data used in this study were obtained from the United States Diabetes Surveillance System (USDSS) on the 88 counties in Ohio. Pearson correlation tests were employed to investigate the relationship between diabetes (prevalence and incidence) and social determinants of health. A t-test and multivariate analysis of variance (MANOVA) test were performed to analyze the disparities in diabetes and social determinants between Appalachian and non-Appalachian counties. RESULTS: The results of this study demonstrate notable disparities in diabetes prevalence between Appalachian and non-Appalachian counties (P < .001, α = .05). Furthermore, the MANOVA test revealed significant differences between these 2 groups regarding social determinants of health (P < .05). CONCLUSION: These findings suggest that Appalachian counties may face a disproportionate impact from health-related factors and experience limited access to healthcare services. The data highlight the need for focused efforts to address the specific challenges faced by Appalachian counties. Improving access to healthcare services in the Appalachian region is paramount to ensure equitable healthcare and enhance the overall health outcomes of affected communities.

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Appalachian Kentucky is disproportionately affected by elevated cancer incidence and mortality rates. This disparity is driven by inequities in health behaviors and social determinants of health including decreased education attainment levels that cause lower health literacy. To increase cancer literacy in the region, a three-part cancer education curriculum was designed for Appalachian Kentucky middle and high school students. This study was designed to evaluate the effect the curriculum had on students' cancer literacy. The curriculum lessons were disseminated to Appalachian Kentucky middle and high school teachers who engaged 223 students with the material. For each lesson, students filled out a 10-question pretest and an identical 10-question posttest. The average and median percent of correct responses from the pre- to posttests were analyzed. The average percentage of correct responses significantly increased from 40% to 70%, 52% to 69%, and 33% to 53% on lessons 1, 2, and 3, respectively. A significant increase in the average percentage of correct responses on each individual question was also observed. The results demonstrate that the three-part cancer education curriculum intervention can significantly increase Appalachian Kentucky middle and high school students' cancer literacy. Increased cancer knowledge has the potential to encourage behavioral modifications that could reduce cancer incidence and mortality rates over time. Future work will include further improving the content relative to the target age/grade level and implementing the material with a broader group of teachers and students.

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BACKGROUND: Medicaid expansion improved insurance coverage for patients with chronic conditions and low income. The effect of Medicaid expansion on patients with IBD from high-poverty communities is unknown. OBJECTIVE: This study aimed to evaluate the impact of Medicaid expansion in Kentucky on care for patients with IBD from the Eastern Kentucky Appalachian community, a historically impoverished area. DESIGN: This study was a retrospective, descriptive, and ecological study. SETTINGS: This study was conducted in Kentucky using the Hospital Inpatient Discharge and Outpatient Services Database. PATIENTS: All encounters for IBD care for 2009-2020 for patients from the Eastern Kentucky Appalachian region were included. MAIN OUTCOME MEASURES: The primary outcomes measured were proportions of inpatient and emergency encounters, total hospital charge, and hospital length of stay. RESULTS: Eight hundred twenty-five preexpansion and 5726 postexpansion encounters were identified. Postexpansion demonstrated decreases in the uninsured (9.2%-1.0%; p < 0.001), inpatient encounters (42.7%-8.1%; p < 0.001), emergency admissions (36.7%-12.3%; p < 0.001), admissions from the emergency department (8.0%-0.2%; p < 0.001), median total hospital charge ($7080-$3260; p < 0.001), and median total hospital length of stay (4-3 days; p < 0.001). Similarly, postexpansion demonstrated increases in Medicaid coverage (18.8%-27.7%; p < 0.001), outpatient encounters (57.3%-91.9%; p < 0.001), elective admissions (46.9%-76.2%; p < 0.001), admissions from the clinic (78.4%-90.2%; p < 0.001), and discharges to home (43.8%-88.2%; p < 0.001). LIMITATIONS: This study is subject to the limitations inherent in being retrospective and using a partially de-identified database. CONCLUSION: This study is the first to demonstrate the changes in trends in care after Medicaid expansion for patients with IBD in the Commonwealth of Kentucky, especially Appalachian Kentucky, showing significantly increased outpatient care utilization, reduced emergency department encounters, and decreased length of stays. IMPACTO DE LA LEY DEL CUIDADO DE SALUD A BAJO PRECIO EN LA PROVISIN DE ACCESO EQUITATIVO A LA ATENCIN MDICA PARA LA ENFERMEDAD INFLAMATORIA INTESTINAL EN LA REGIN DE LOS APALACHES DE KENTUCKY: ANTECEDENTES: La expansión de Medicaid mejoró la cobertura de seguro para pacientes con enfermedades crónicas y bajos ingresos. Se desconoce el efecto de la expansión de Medicaid en pacientes con enfermedad inflamatoria intestinal de comunidades de alta pobreza.OBJETIVO: Este estudio tuvo como objetivo evaluar el impacto de la expansión de Medicaid en Kentucky en la atención de pacientes con enfermedad inflamatoria intestinal de la comunidad de los Apalaches del este de Kentucky, un área históricamente empobrecida.DISEÑO: Este estudio fue un estudio retrospectivo, descriptivo, ecológico.ESCENARIO: Este estudio se realizó en Kentucky utilizando la base de datos de servicios ambulatorios y de alta hospitalaria en pacientes hospitalizados.PACIENTES: Se incluyeron todos los encuentros para la atención de la enfermedad inflamatoria intestinal de 2009-2020 para pacientes de la región de los Apalaches del este de Kentucky.MEDIDAS DE RESULTADO PRINCIPALES: Los resultados primarios medidos fueron proporciones de encuentros de pacientes hospitalizados y de emergencia, cargo hospitalario total y duración de la estancia hospitalaria.RESULTADOS: Se identificaron 825 encuentros previos a la expansión y 5726 posteriores a la expansión. La posexpansión demostró disminuciones en los no asegurados (9.2% a 1.0%, p < 0.001), encuentros de pacientes hospitalizados (42.7% a 8.1%, p < 0.001), admisiones de emergencia (36.7% a 12.3%, p < 0,001), admisiones desde el servicio de urgencias (8.0% a 0.2%, p < 0.001), la mediana de los gastos hospitalarios totales ($7080 a $3260, p < 0.001) y la mediana de la estancia hospitalaria total (4 a 3 días, p < 0.001). De manera similar, la cobertura de Medicaid (18.8% a 27.7%, p < 0.001), consultas ambulatorias (57.3% a 91.9%, p < 0.001), admisiones electivas (46.9% a 76.2%, p < 0.001), admisiones desde la clínica (78.4% al 90.2%, p < 0.001), y las altas domiciliarias (43.8% al 88.2%, p < 0.001) aumentaron después de la expansión.LIMITACIONES: Este estudio está sujeto a las limitaciones inherentes de ser retrospectivo y utilizar una base de datos parcialmente desidentificada.CONCLUSIONES: Este estudio es el primero en demostrar los cambios en las tendencias en la atención después de la expansión de Medicaid para pacientes con enfermedad inflamatoria intestinal en el Estado de Kentucky, especialmente en los Apalaches de Kentucky, mostrando un aumento significativo en la utilización de la atención ambulatoria, visitas reducidas al departamento de emergencias y menor duración de la estancia hospitalaria. (Traducción-Dr. Jorge Silva Velazco ).

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Low educational attainment and high cancer incidence and mortality rates have long been a challenge in Appalachian Kentucky. Prior studies have reported disparities in cancer incidence and mortality between Appalachian and non-Appalachian populations, but the influence of education on this disparity has not been extensively studied. Herein, all cancers and two cancer sites with available screenings (colorectal and lung) were joined with education indicators (educational attainment and literacy) and one geographic indicator across all 120 Kentucky counties. This dataset was used to build choropleth maps and perform simple linear and spatial regression to assess statistical significance and to measure the strength of the linear relationship between county-level education and cancer-related outcomes in Appalachian and non-Appalachian Kentucky. Among all cancer sites, age-adjusted cancer incidence and mortality was higher in Appalachian versus non-Appalachian Kentucky. The percentage of the population not completing high school was positively correlated with increased colorectal and lung cancer incidence and mortality in Appalachia. Similarly, counties with a higher percentage of the population lacking basic literacy had the strongest correlation with colorectal and lung cancer incidence and mortality, which were concentrated in Appalachian Kentucky. Our findings suggest a need for implementing interventions that increase educational attainment and enhance basic literacy as a means of improving cancer outcomes in Appalachia.

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OBJECTIVES: The overdose epidemic was designated a 'Public Health Emergency' in the USA on 26 October 2017, bringing attention to the severity of this public health problem. The Appalachian region remains substantially impacted by the effects from years of overprescription of opioids, and subsequently opioid non-medical use and addiction. This study aims to examine the utility of the PRECEDE-PROCEED model constructs (ie, predisposing, reinforcing and enabling factors) to explain opioid addiction helping behaviour (ie, helping someone who has an opioid addiction) among members of the public living in tri-state Appalachian counties. DESIGN: Cross-sectional study. SETTING: Rural county in the Appalachian region of the USA. PARTICIPANTS: A total of 213 participants from a retail mall in a rural Appalachian Kentucky county completed the survey. Most participants were between the ages of 18 and 30 years (n=68; 31.9%) and identified as men (n=139; 65.3%). PRIMARY OUTCOME MEASURE: Opioid addiction helping behaviour. RESULTS: The regression model was significant (F (6, 180)=26.191, p<0.001) and explained 44.8% of the variance in opioid addiction helping behaviour (R2=0.448). Attitude towards helping someone with opioid addiction (B=0.335; p<0.001), behavioural skills (B=0.208; p=0.003), reinforcing factors (B=0.190; p=0.015) and enabling factors (B=0.195; p=0.009) were all significantly associated with opioid addiction helping behaviour. CONCLUSIONS: PRECEDE-PROCEED model constructs have utility to explain opioid addiction helping behaviour among individuals in a region greatly impacted by the overdose epidemic. This study provides an empirically tested framework for future programmes addressing helping behaviour related to opioid non-medical use.

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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).

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Appalachian regions of Kentucky and Ohio are hotspots for colorectal cancer (CRC) mortality in the USA. Screening reduces CRC incidence and mortality; however, screening uptake is needed, especially in these underserved geographic areas. Implementation science offers strategies to address this challenge. The aim of the current study was to conduct multi-site, transdisciplinary research to evaluate and improve CRC screening processes using implementation science strategies. The study consists of two phases (Planning and Implementation). In the Planning Phase, a multilevel assessment of 12 health centers (HC) (one HC from each of the 12 Appalachian counties) was conducted by interviewing key informants, creating community profiles, identifying HC and community champions, and performing HC data inventories. Two designated pilot HCs chose CRC evidence-based interventions to adapt and implement at each level (i.e., patient, provider, HC, and community) with evaluation relative to two matched control HCs. During the Implementation Phase, study staff will repeat the rollout process in HC and community settings in a randomized, staggered fashion in the remaining eight counties/HCs. Evaluation will include analyses of electronic health record data and provider and county surveys. Rural HCs have been reluctant to participate in research because of concerns about capacity; however, this project should demonstrate that research does not need to be burdensome and can adapt to local needs and HC abilities. If effective, this approach could be disseminated to HC and community partners throughout Appalachia to encourage the uptake of effective interventions to reduce the burden of CRC.

We conducted a multi-site study to evaluate and improve CRC screening processes using implementation science strategies at multiple levels including the patient, provider, health center, and community. Our goals were to increase rates of guideline-recommended CRC screening, follow-up, and referral-to-care in an Appalachian, medically underserved population.

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In rural areas of the United States, an estimated ~1.8 million people lack reliable access to safe drinking water. Considering the relative dearth of information on water contamination and health outcomes in Appalachia, we conducted a systematic review of studies of microbiological and chemical drinking water contamination and associated health outcomes in rural Appalachia. We pre-registered our protocols, limiting eligibility to primary data studies published from 2000 to 2019, and searched four databases (PubMed, EMBASE, Web of Science, and the Cochrane Library). We used qualitative syntheses, meta-analyses, risk of bias analysis, and meta-regression to assess reported findings, with reference to US EPA drinking water standards. Of the 3452 records identified for screening, 85 met our eligibility criteria. 93 % of eligible studies (n = 79) used cross-sectional designs. Most studies were conducted in Northern (32 %, n = 27) and North Central (24 %, n = 20) Appalachia, and only 6 % (n = 5) were conducted exclusively in Central Appalachia. Across studies, E. coli were detected in 10.6 % of samples (sample-size-weighted mean percentage from 4671 samples, 14 publications). Among chemical contaminants, sample-size-weighted mean concentrations for arsenic were 0.010 mg/L (n = 21,262 samples, 6 publications), and 0.009 mg/L for lead (n = 23,259, 5 publications). 32 % (n = 27) of studies assessed health outcomes, but only 4.7 % (n = 4) used case-control or cohort designs (all others were cross-sectional). The most commonly reported outcomes were detection of PFAS in blood serum (n = 13), gastrointestinal illness (n = 5), and cardiovascular-related outcomes (n = 4). Of the 27 studies that assessed health outcomes, 62.9 % (n = 17) appeared to be associated with water contamination events that had received national media attention. Overall, based on the number and quality of eligible studies identified, we could not reach clear conclusions about the state of water quality, or its impacts on health, in any of Appalachia's subregions. More epidemiologic research is needed to understand contaminated water sources, exposures, and potentially associated health outcomes in Appalachia.

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