Geographic access to cardiac rehabilitation and cardiovascular disease outcomes: A study of rural United States counties.

Prior studies have examined rural-urban disparities in access to cardiac rehabilitation (CR). However, few have examined the relationship between disparate access to CR and cardiovascular disease outcomes in rural areas. In this analysis of 1975 nonmetro United States counties, we investigated the relationship between number of hospitals with CR and Medicare-population hospitalization rates (per 1000 adults ≥65 years) and county-population mortality rates (per 100,000 adults ≥18 years) due to coronary heart disease (CHD), heart failure (HF), or stroke, using multivariable linear-regression-modeling adjusting for socio-demographic and comorbid conditions. Median CHD hospitalization (13.0 vs. 12.2), HF hospitalization (16.1 vs. 13.3), HF death (114.2 vs. 110.9), stroke hospitalization (12.0 vs. 10.9), and stroke death (39.6 vs. 37.1) rates were higher in nonmetro counties without versus with a CR facility (p-values< 0.001). There were inverse correlations between number of hospitals with CR and CHD (r= -0.161), HF (r= -0.261) and stroke (r= -0.237) hospitalization rates, and stroke mortality (r= -0.144) rates (p-values< 0.001). After adjustment, as the number of hospitals with CR increased, there were decreases in hospitalization rates of 1.78 for CHD, 7.20 for HF, and 2.43 for stroke, per 1000 in the population (p-values < 0.001) and decreases in stroke deaths of 9.17 per 100,000 in the population (p= 0.02). Access to hospitals with CR in US nonmetro counties is inversely related to CHD, HF, and stroke hospitalization, and stroke mortality. Our findings call for reducing barriers to CR in nonmetro communities and further exploring the relationship between CR and stroke outcomes.

Avoiding double counting: the effect of bundling hospital events in administrative datasets for the interpretation of rural-urban differences in Aotearoa New Zealand.

BACKGROUND AND OBJECTIVES: All publicly funded hospital discharges in Aotearoa New Zealand are recorded in the National Minimum Dataset (NMDS). Movement of patients between hospitals (and occasionally within the same hospital) results in separate records (discharge events) within the NMDS and if these consecutive health records are not accounted for hospitalization (encounters) rates might be overestimated. The aim of this study was to determine the impact of four different methods to bundle multiple discharge events in the NMDS into encounters on the relative comparison of rural and urban Ambulatory Sensitive Hospitalization (ASH) rates. METHODS: NMDS discharge events with an admission date between July 1, 2015, and December 31, 2019, were bundled into encounters using either using a) no method, b) an "admission flag", c) a "discharge flag", or d) a date-based method. ASH incidence rate ratios (IRRs), the mean total length of stay and the percentage of interhospital transfers were estimated for each bundling method. These outcomes were compared across 4 categories of the Geographic Classification for Health. RESULTS: Compared with no bundling, using the date-based method resulted in an 8.3% reduction (150 less hospitalizations per 100,000 person years) in the estimated incidence rate for ASH in the most rural (R2-3) regions. There was no difference in the interpretation of the rural-urban IRR for any bundling methodology. Length of stay was longer for all bundling methods used. For patients that live in the most rural regions, using a date-based method identified up to twice as many interhospital transfers (5.7% vs 12.4%) compared to using admission flags. CONCLUSION: Consecutive events within hospital discharge datasets should be bundled into encounters to estimate incidence. This reduces the overestimation of incidence rates and the undercounting of interhospital transfers and total length of stay.

HPV DNA Testing and Mobile Colposcopy for Cervical Precancer Screening in HIV Positive Women: A Comparison Between Two Settings in Ghana and Recommendation for Screening.

INTRODUCTION: Women living with HIV (WLHIV) have higher prevalence and persistence rates of high-risk human papillomavirus (hr-HPV) infection with a six-fold increased risk of cervical cancer. Thus, more frequent screening is recommended for WLHIV. OBJECTIVES: This retrospective descriptive cross-sectional study was conducted to investigate and compare the prevalence of hr-HPV infection and abnormal findings on mobile colposcopy in two cohorts of WLHIV following cervical screening in rural and urban settings in Ghana. METHODS: Through the mPharma 10 000 Women Initiative, WLHIV were screened via concurrent hr-HPV DNA testing (MA-6000; Sansure Biotech Inc., Hunan, China) and visual inspection (Enhanced Visual Assessment [EVA] mobile colposcope; MobileODT, Tel Aviv, Israel) by trained nurses. The women were screened while undergoing routine outpatient reviews at HIV clinics held at the Catholic Hospital, Battor (rural setting) and Tema General Hospital (urban setting), both in Ghana. RESULTS: Two-hundred and fifty-eight WLHIV were included in the analysis (rural, n = 132; urban, n = 126). The two groups were comparable in terms of age, time since HIV diagnosis, and duration of treatment for HIV. The hr-HPV prevalence rates were 53.7% (95% CI, 45.3-62.3) and 48.4% (95% CI, 39.7-57.1) among WLHIV screened in the rural vs urban settings (p-value = .388). Abnormal colposcopy findings were found in 8.5% (95% CI, 5.1-11.9) of the WLHIV, with no significant difference in detection rates between the two settings (p-value = .221). Three (13.6%) of 22 women who showed abnormal colposcopic findings underwent loop electrosurgical excision procedure (LEEP), leaving 19/22 women from both rural and urban areas with pending treatment/follow-up results, which demonstrates the difficulty faced in reaching early diagnosis and treatment, regardless of their area of residence. Histopathology following LEEP revealed CIN III in 2 WLHIV (urban setting, both hr-HPV negative) and CIN I in 1 woman in the rural setting (hr-HPV positive). CONCLUSIONS: There is a high prevalence of hr-HPV among WLHIV in both rural and urban settings in this study in Ghana. Concurrent HPV DNA testing with a visual inspection method (colposcopy/VIA) reduces loss to follow-up compared to performing HPV DNA testing as a standalone test and recalling hr-HPV positive women for follow up with a visual inspection method. Concurrent HPV DNA testing and a visual inspection method may also pick up precancerous cervical lesions that are hr-HPV negative and may be missed if HPV DNA testing is performed alone.

Disability from cardiovascular diseases at Osh city, Kyrgyz Republic.

Cardiovascular diseases (CVDs) are the leading global cause of death, contributing to health deterioration and increased healthcare expenses. Therefore, it is of interest to investigate the disability rates related to cardiovascular diseases at Osh city, Kyrgyz Republic. We report the prevalence of disability in both urban and rural areas, highlighting the impact of regional disparities in medical and social services. Data shows that adult cardiovascular disease impairment in Kyrgyzstan suggests challenges in accessing medical and social support, particularly in rural regions. Thus, the rural-urban divide in critical disability metrics impedes equitable research. Comprehensive assessments and interventions are imperative to mitigate cardiovascular diseases and associated disabilities in both rural and urban populations at Kyrgyz Republic.

Cross-sectional analysis of primary care clinics' policies, practices, and availability of patient support services during the COVID-19 pandemic.

BACKGROUND: Healthcare accessibility and utilization are important social determinants of health. Lack of access to healthcare, including missed or no-show appointments, can have negative health effects and be costly to patients and providers. Various office-based approaches and community partnerships can address patient access barriers. OBJECTIVES: (1) To understand provider perceptions of patient barriers; (2) to describe the policies and practices used to address late or missed appointments, and (3) to evaluate access to patient support services, both in-clinic and with community partners. METHODS: Mailed cross-sectional survey with online response option, sent to all Nebraska primary care clinics (n = 577) conducted April 2020 and January through April 2021. Chi-square tests compared rural-urban differences; logistic regression of clinical factors associated with policies and support services computed odds ratios (OR) and 95% confidence intervals (CI). RESULTS: Response rate was 20.3% (n = 117), with 49 returns in 2020. Perceived patient barriers included finances, higher among rural versus urban clinics (81.6% vs. 56.1%, p =.009), and time (overall 52.3%). Welcoming environment (95.5%), telephone appointment reminders (74.8%) and streamlined admissions (69.4%) were the top three clinic practices to reduce missed appointments. Telehealth was the most commonly available patient support service in rural (79.6%) and urban (81.8%, p =.90) clinics. Number of providers was positively associated with having a patient navigator/care coordinator (OR = 1.20, CI = 1.02-1.40). For each percent increase in the number of privately insured patients, the odds of providing legal aid decreased by 4% (OR = 0.96, CI = 0.92-1.00). Urban clinics were less likely than rural clinics to provide social work services (OR = 0.16, CI = 0.04-0.67) or assist with applications for government aid (OR = 0.22, CI = 0.06-0.90). CONCLUSIONS: Practices to reduce missed appointments included a variety of reminders. Although finances and inability to take time off work were the most frequently reported perceived barriers for patients' access to timely healthcare, most clinics did not directly address them. Rural clinics appeared to have more community partnerships to address underlying social determinants of health, such as transportation and assistance applying for government aid. Taking such a wholistic partnership approach is an area for future study to improve patient access.

Geographic disparities in late HIV diagnoses in Tennessee: Opportunities for interventions in the rural Southeast.

PURPOSE: Incident HIV remains an important public health issue in the US South, the region leading the nation in HIV incidence, rural HIV cases, and HIV-related deaths. Late diagnoses drive incident HIV and understanding factors driving late diagnoses is critical for developing locally relevant HIV testing and prevention interventions, decreasing HIV transmission, and ending the HIV epidemic. METHODS: Retrospective cohort study utilizing Tennessee Department of Health (TDH) surveillance data and US Census Bureau data. Adults of ≥18-year old with a new HIV diagnosis between January 1, 2015 and December 31, 2019 identified in the TDH electronic HIV/AIDS Reporting System were included. Individuals were followed from initial HIV diagnosis until death, 90 days of follow-up for outcome assessment, or administrative censoring 90 days after study enrollment closed. FINDINGS: We included 3652 newly HIV-diagnosed individuals; median age was 31 years (IQR: 25, 42), 2909 (79.7%) were male, 2057 (56.3%) were Black, 246 (6.7%) were Hispanic, 408 (11.2%) were residing in majority-rural areas at diagnosis, and 642 (17.6%) individuals received a late HIV diagnosis. Residents of majority-rural counties (adjusted risk ratios [aRR] = 1.39, 95% confidence intervals [CI]: 1.16-1.67) and Hispanic individuals (aRR = 1.87, 95% CI: 1.50-2.33) had an increased likelihood of receiving a late diagnosis after controlling for race/ethnicity, age, and year of HIV diagnosis. CONCLUSIONS: Rural residence and Hispanic ethnicity were associated with an increased risk of receiving a late HIV diagnosis in Tennessee. Future HIV testing and prevention efforts should be adapted to the needs of these vulnerable populations.

Rural-urban disparities and trends in utilization of palliative care services among US patients with metastatic breast cancer.

PURPOSE: To assess trends and rural-urban disparities in palliative care utilization among patients with metastatic breast cancer. METHODS: We analyzed data from the 2004-2019 National Cancer Database. Palliative care services, including surgery, radiotherapy, systemic therapy, and/or other pain management, were provided to control pain or alleviate symptoms; utilization was dichotomized as "yes/no." Rural-urban residence, defined by the US Department of Agriculture Economic Research Service's Rural-Urban Continuum Codes, was categorized as "rural/urban/metropolitan." Multivariable logistic regression was used to examine rural-urban differences in palliative care use. Adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were calculated. FINDINGS: Of 133,500 patients (mean age 62.4 [SD = 14.2] years), 86.7%, 11.7%, and 1.6% resided in metropolitan, urban, and rural areas, respectively; 72.5% were White, 17.0% Black, 5.8% Hispanic, and 2.7% Asian. Overall, 20.3% used palliative care, with a significant increase from 15.6% in 2004-2005 to 24.5% in 2008-2019 (7.0% increase per year; p-value for trend <0.001). In urban areas, 23.3% received palliative care, compared to 21.0% in rural and 19.9% in metropolitan areas (p < 0.001). After covariate adjustment, patients residing in rural (AOR = 0.84; 95% CI: 0.73-0.98) or metropolitan (AOR = 0.85, 95% CI: 0.80-0.89) areas had lower odds of having used palliative care than those in urban areas. CONCLUSIONS: In this national, racially diverse sample of patients with metastatic breast cancer, the utilization of palliative care services increased over time, though remained suboptimal. Further, our findings highlight rural-urban disparities in palliative care use and suggest the potential need to promote these services while addressing geographic access inequities for this patient population.

Differences in cancer presentation, treatment, and mortality between rural and urban patients diagnosed with kidney cancer in the United States.

INTRODUCTION: Rural-urban discrepancies in care and outcomes for kidney cancer (KCa) in the United States remains poorly understood. Our study aims to improve our understanding of the influence of rurality on KCa outcomes in the United States by analyzing differences in presentation, treatment, and mortality between urban areas (UAs) and rural areas (RAs) in the Surveillance, Epidemiology, and End Results (SEERs) database. METHODS: SEERs data was queried from 2000 to 2019 for KCa patients. Patient counties were classified as UAs, rural adjacent areas (RAAs), or rural nonadjacent areas (RNAs) using Rural Urban Continuum Codes. Demographic, tumor characteristics, and treatment variables were compared. Propensity score matching was performed to create matched UA-RAA and UA-RNA cohorts. Multivariate regression evaluated rural-urban status as a predictor of treatment selection. Multivariate cox regression assessed the predictive value of rural-urban status for overall survival (OS) and cancer-specific survival (CSS). Kaplan-Meier analysis was used to generate survival curves for OS and CSS. RESULTS: 179,509 KCa patients were identified (UA = 87.0%, RAA = 7.7%, RNA = 5.3%). Patients in RAs were more likely to present with tumors of higher grade and stage than UAs. Following multivariate analysis, rural residency predicted undergoing nephrectomy (RAA: OR = 1.177, RNA: OR = 1.210) but was a negative predictor of receiving partial nephrectomy (RAA: OR = 0.744, RNA: OR = 0.717), all P < 0.001. Multivariate cox regression demonstrated that RAA or RNA residency was predictive of overall and cause-specific mortality. After matching, median OS was 151, 124, and 118 months for UA, RAA, and RNA cohorts respectively; mean CSS was 152, 147, and 144 months for UA, RAA, and RNA cohorts, respectively, all P < 0.001. Stage-specific analysis of CSS demonstrated significantly poorer CSS among RNA patients for localized, regionalized, and distant KCa after matching. Only RAA patients with localized KCa experienced significantly lower CSS than UA patients. CONCLUSIONS: Patients in RAs are more likely to present with advanced KCa at diagnosis compared to those in UAs and may also experience different treatment options including a lesser likelihood of undergoing partial nephrectomy. Rural patients with KCa also demonstrated significantly worse OS and CSS compared to their urban counterparts. Further patient-level studies are required to better understand the discrepancy in CSS between urban and rural patients diagnosed with KCa.

Neighbourhood mothers' education and its differential impact on stunting: Evidence from 30 Sub-Saharan African countries.

The study used data from Demographic and Health Surveys for 30 Sub-Saharan African countries to investigate differences in the residential effects of mothers' education on stunting. Multilevel logistic regressions were employed to examine the neighbourhood effects of mothers' education on stunting. The study found that although a higher proportion of mothers with secondary education in a neighbourhood, irrespective of the residence type (rural or urban), reduces a child's probability of being stunted, this effect is stronger for children residing in rural areas than those in the urban. Achieving a target of at least 75 per cent of mothers obtaining secondary education and higher will bridge the rural-urban gap in stunting in Sub-Saharan Africa.

Rural-urban disparities in the incidence and treatment intensity of periodontal disease among patients with diabetes.

Background: Diabetes threatens population health, especially in rural areas. Diabetes and periodontal diseases have a bidirectional relationship. A persistence of rural-urban disparities in diabetes may indicate a rural-urban difference in periodontal disease among patients with diabetes; however, the evidence is lacking. This retrospective study aimed to investigate rural-urban discrepancies in the incidence and treatment intensity of periodontal disease among patients who were newly diagnosed with type 2 diabetes in the year 2010. Methods: The present study was a retrospective cohort design, with two study samples: patients with type 2 diabetes and those who were further diagnosed with periodontal disease. The data sources included the 2010 Diabetes Mellitus Health Database at the patient level, the National Geographic Information Standardization Platform and the Department of Statistics, Ministry of Health and Welfare in Taiwan at the township level. Two dependent variables were a time-to-event outcome for periodontal disease among patients with type 2 diabetes and the treatment intensity measured for patients who were further diagnosed with periodontal disease. The key independent variables are two dummy variables, representing rural and suburban areas, with urban areas as the reference group. The Cox and Poisson regression models were applied for analyses. Results: Of 68,365 qualified patients, 49% of them had periodontal disease within 10 years after patients were diagnosed with diabetes. Compared to urban patients with diabetes, rural (HR = 0.83, 95% CI: 0.75-0.91) and suburban patients (HR = 0.86, 95% CI: 0.83-0.89) had a lower incidence of periodontal disease. Among 33,612 patients with periodontal disease, rural patients received less treatment intensity of dental care (Rural: RR = 0.87, 95% CI: 0.83, 0.92; suburban: RR = 0.93, 95% CI: 0.92, 0.95) than urban patients. Conclusion: Given the underutilization of dental care among rural patients with diabetes, a low incidence of periodontal disease indicates potentially undiagnosed periodontal disease, and low treatment intensity signals potentially unmet dental needs. Our findings provide a potential explanation for the persistence of rural-urban disparities in poor diabetes outcomes. Policy interventions to enhance the likelihood of identifying periodontal disease at the early stage for proper treatment would ease the burden of diabetes care and narrow rural-urban discrepancies in diabetes outcomes.

Rural-Urban Disparities in Multimorbidity Associated With Climate Change and Air Pollution: A Longitudinal Analysis Among Chinese Adults Aged 45.

Background and Objectives: Chronic conditions and multimorbidity are increasing worldwide. Yet, understanding the relationship between climate change, air pollution, and longitudinal changes in multimorbidity is limited. Here, we examined the effects of sociodemographic and environmental risk factors in multimorbidity among adults aged 45+ and compared the rural-urban disparities in multimorbidity. Research Design and Methods: Data on the number of chronic conditions (up to 14), sociodemographic, and environmental factors were collected in 4 waves of the China Health and Retirement Longitudinal Study (2011-2018), linked with the full-coverage particulate matter 2.5 (PM2.5) concentration data set (2000-2018) and temperature records (2000-2018). Air pollution was assessed by the moving average of PM2.5 concentrations in 1, 2, 3, 4, and 5 years; temperature was measured by 1-, 2-, 3-, 4-, and 5-year moving average and their corresponding coefficients of variation. We used the growth curve modeling approach to examine the relationship between climate change, air pollution, and multimorbidity, and conducted a set of stratified analyses to study the rural-urban disparities in multimorbidity related to temperature and PM2.5 exposure. Results: We found the higher PM2.5 concentrations and rising temperature were associated with higher multimorbidity, especially in the longer period. Stratified analyses further show the rural-urban disparity in multimorbidity: Rural respondents have a higher prevalence of multimorbidity related to rising temperature, whereas PM2.5-related multimorbidity is more severe among urban ones. We also found temperature is more harmful to multimorbidity than PM2.5 exposure, but PM2.5 exposure or temperature is not associated with the rate of multimorbidity increase with age. Discussion and Implications: Our findings indicate that there is a significant relationship between climate change, air pollution, and multimorbidity, but this relationship is not equally distributed in the rural-urban settings in China. The findings highlight the importance of planning interventions and policies to deal with rising temperature and air pollution, especially for rural individuals.

Tracking the Uneven Outcomes of COVID-19 on Racial and Ethnic Groups: Implications for Health Policy.

The socioeconomic shocks of the first COVID-19 pandemic wave disproportionately affected vulnerable groups. But did that trend continue to hold during the Delta and Omicron waves? Leveraging data from the Johns Hopkins Coronavirus Resource Center, this paper examines whether demographic inequalities persisted across the waves of COVID-19 infections. The current study utilizes fixed effects regressions to isolate the marginal relationships between socioeconomic factors with case counts and death counts. Factors include levels of urbanization, age, gender, racial distribution, educational attainment, and household income, along with time- and state-specific COVID-19 restrictions and other time invariant controls captured via fixed effects controls. County-level health outcomes in large metropolitan areas show that despite higher incidence rates in suburban and exurban counties, urban counties still had disproportionately poor outcomes in the latter COVID-19 waves. Policy makers should consider health disparities when developing long-term public health regulatory policies to help shield low-income households from the adverse effects of COVID-19 and future pandemics.

Examining the Relationship Between Rurality, Risk Perception, and COVID-19 Vaccine Willingness Among Rural Latinos in Arizona and California.

This study aimed to investigate the relationship between rurality and risk perception of getting or transmitting COVID-19 and willingness to get the COVID-19 vaccine in a sample of Latinos across Arizona and California's Central Valley (n = 419). The results revealed that rural Latinos are more concerned about getting and transmitting COVID-19, but less willing to get vaccinated. Our findings suggest that perceptions of risk alone do not play a sole role in influencing risk management behavior among rural Latinos. While rural Latinos may have heightened perception of the risks associated with COVID-19, vaccine hesitancy persists due to a variety of structural and cultural factors. These factors included limited access to healthcare facilities, language barriers, concerns about vaccine safety and effectiveness, and cultural factors such as strong family and community ties. The study highlights the need for culturally-tailored education and outreach efforts that address the specific needs and concerns of this community to increase vaccination rates and reduce the disproportionate burden of COVID-19 among Latino communities living in rural areas.

Effect of foot health-related quality of life in rural population: A case-control study.

BACKGROUND: Foot health problems can affect quality of life and general health producing a source of discomfort and pain. Low levels of foot health-related quality of life (HRQoL) are present in patients with foot disabilities, such as hallux valgus, plantar fasciitis, or minor toe deformities. OBJECTIVE: The objective was to analyze the foot health status in patients with and without foot problems in a rural population and its relationship with quality of life. MATERIAL AND METHODS: A prospective case-control study was developed with a sample of 152 patients, 76 subjects with podiatric pathologies and 76 without, in a rural population. HRQoL was measured through the SF-36 Health Questionnaire in the Spanish version. RESULTS: The case group had a mean age of 49.18 ± 14.96 and the control group 44.16 ± 11.79. Regarding the score of the lowest levels of quality of life related to foot problems, the case group compared to the controls showed: for physical function (79.86 ± 26.38 vs. 92.63 ± 11 0.17, p < 0.001); for the physical role (73.68 ± 41.00 vs. 88.48 ± 27.51, p < 0.0022); for body pain (45.81 ± 27.18 vs. 73.68 ± 41.00, p < 0.035); and for general health (60.36 ± 30.58 vs. 68.71 ± 18.52, p < 0.047). The differences between groups were analyzed using the Mann-Whitney U test, which showed statistical significance (P < 0.05). CONCLUSIONS: In the rural population, people with foot pathologies present a worse quality of life compared to those who do not present foot pathology, especially for the health domains: physical function, physical role, body pain and health general.

Impact of the COVID-19 pandemic on cancer patients in western Pennsylvania: rural-urban disparities.

PURPOSE: Disparities in cancer care persist between patients living in rural versus urban areas. The COVID-19 pandemic may have impacted concerns related to care and personal health differently in rural cancer patients. Using survey data collected from cancer patients in western Pennsylvania, we examined pandemic-related distress, concerns related to cancer care, impact on personal health, and the extent to which these differed by urban-rural residence. METHODS: Patients filled out an initial survey in August-December 2020; a second survey was completed in March 2021. The following patient concerns related to the pandemic were evaluated: threat of COVID-19 to their health, pandemic-related distress, perceptions of cancer care, and vaccine hesitancy. Multivariable logistic regression models were used to examine relationships between these outcomes and urban-rural residence as well as patient-related factors, including anxiety symptoms and social support. RESULTS: The study sample included 1,980 patients, 17% resided in rural areas. COVID-19 represented a major or catastrophic threat to personal health for 39.7% of rural and 49.0% of urban patients (p = 0.0017). Patients with high general anxiety were 10-times more likely to experience pandemic-related distress (p < 0.001). In the follow-up survey (n = 983), vaccine hesitancy was twice as prevalent among rural patients compared to urban (p = 0.012). CONCLUSIONS: The extent to which perceptions of the threat of COVD-19 to personal health and vaccine hesitancy exacerbates rural-urban disparities in cancer care and prognosis warrants further study. Cancer patients may be vulnerable to heightened anxiety and distress triggered by the pandemic.

Rural-Urban Disparities in Patient Care Experiences among Prostate Cancer Survivors: A SEER-CAHPS Study.

BACKGROUND: We sought to evaluate rural-urban disparities in patient care experiences (PCEs) among localized prostate cancer (PCa) survivors at intermediate-to-high risk of disease progression. METHODS: Using 2007-2015 Surveillance Epidemiology and End Results (SEER) data linked to Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys, we analyzed survivors' first survey ≥6 months post-diagnosis. Covariate adjusted linear regressions were used to estimate associations of treatment status (definitive treatment vs. none) and residence (large metro vs. metro vs. rural) with PCE composite and rating measures. RESULTS: Among 3779 PCa survivors, 1798 (53.2%) and 370 (10.9%) resided in large metro and rural areas, respectively; more rural (vs. large metro) residents were untreated (21.9% vs. 16.7%; p = 0.017). Untreated (vs. treated) PCa survivors reported lower scores for doctor communication (ß = -2.0; p = 0.022), specialist rating (ß = -2.5; p = 0.008), and overall care rating (ß = -2.4; p = 0.006). While treated rural survivors gave higher (ß = 3.6; p = 0.022) scores for obtaining needed care, untreated rural survivors gave lower scores for obtaining needed care (ß = -7.0; p = 0.017) and a lower health plan rating (ß = -7.9; p = 0.003) compared to their respective counterparts in large metro areas. CONCLUSIONS: Rural PCa survivors are less likely to receive treatment. Rural-urban differences in PCEs varied by treatment status.

Social Determinants of Cardiovascular Health: A Longitudinal Analysis of Cardiovascular Disease Mortality in US Counties From 2009 to 2018.

Background Disparities in cardiovascular disease (CVD) outcomes persist across the United States. Social determinants of health play an important role in driving these disparities. The current study aims to identify the most important social determinants associated with CVD mortality over time in US counties. Methods and Results The authors used the Agency for Healthcare Research and Quality's database on social determinants of health and linked it with CVD mortality data at the county level from 2009 to 2018. The age-standardized CVD mortality rate was measured as the number of deaths per 100 000 people. Penalized generalized estimating equations were used to select social determinants associated with county-level CVD mortality. The analytic sample included 3142 counties. The penalized generalized estimating equation identified 17 key social determinants of health including rural-urban status, county's racial composition, income, food, and housing status. Over the 10-year period, CVD mortality declined at an annual rate of 1.08 (95% CI, 0.74-1.42) deaths per 100 000 people. Rural counties and counties with a higher percentage of Black residents had a consistently higher CVD mortality rate than urban counties and counties with a lower percentage of Black residents. The rural-urban CVD mortality gap did not change significantly over the past decade, whereas the association between the percentage of Black residents and CVD mortality showed a significant diminishing trend over time. Conclusions County-level CVD mortality declined from 2009 through 2018. However, rural counties and counties with a higher percentage of Black residents continued to experience higher CVD mortality. Median income, food, and housing status consistently predicted higher CVD mortality.

Rural-Urban Disparities in HPV Vaccination Coverage Among Adolescents in the Central Part of the State of Illinois, USA.

Human Papillomavirus (HPV) is associated with six cancers and widespread immunization with HPV vaccine could reduce the number of these cancers. Although HPV vaccination rates are available for the state of Illinois and the city of Chicago, data are limited for specific areas. We assessed rates of HPV vaccine initiation and completion among adolescents in central Illinois and identified factors associated with initiation and completion. This was a retrospective study of adolescents (aged 11-17) who receive care at the Southern Illinois University Medicine Department of Pediatrics. The outcome variables were HPV vaccination initiation (receipt of ≥ 1 dose) and completion (receipt of ≥ 2 or 3 doses, depending on age of initiation). Multivariable logistic regressions were used to identify factors associated with HPV vaccine uptake. A total of 9,351 adolescents were included in the study. Overall, HPV vaccine initiation was 46.2% and completion was 24.7%. In adjusted analyses, adolescents residing in rural areas were 38% and 24% less likely to initiate (aOR = 0.62; 95 CI: 0.54-0.72) and complete (aOR = 0.76; 95 CI: 0.65-0.88) the HPV vaccine compared with those residing in urban areas. Similarly, adolescents were less likely to initiate and complete the HPV vaccine if they were not update to date on the hepatitis A, meningococcal, or Tdap vaccinations. HPV vaccination rates in central Illinois were low, and far below the national average and the Illinois state average. Future directions should include interventions to increase HPV vaccine uptake, particularly in rural areas.

Rural-urban differences in individual and environmental correlates of physical activity in Canadian adults.

Considering interactions between barriers to physical activity, sociodemographic factors, and rurality can support an equity-focused approach to physical activity promotion. In this cross-sectional analysis of the Canadian Community Health Survey Barriers to Physical Activity Rapid Response module, we compared self-reported individual and social-environmental correlates of physical activity between rural and urban residents and explored interactions with sociodemographic factors. Lack of social support was associated with lower odds of meeting physical activity guidelines for rural residents (OR = 0.71 [0.57,0.89], p = 0.003), but not for urban residents (OR = 0.99 [0.84,1.17], p =.931). Limited access to low-cost facilities was associated with lower odds of meeting physical activity guidelines (OR = 0.85 [0.73,0.98], p = 0.030) regardless of location, but was reported more commonly as a barrier by rural males (27.3 % vs 8.6 % urban) and females (30.0 % vs 9.1 % urban). Inadequate social support was associated with lower odds of meeting physical activity guidelines in females (OR = 0.79 [0.66,0.94], p =.009), but not males (OR = 0.99 [0.84,1.17], p =.931). Individual-level barriers such as time, costs, enjoyment, and confidence were associated with meeting physical activity guidelines for both rural and urban residents. Social-environmental factors appear to be the main contributors to physical activity inequities between rural and urban residents. Interventions designed to bolster social connectedness may support physical activity engagement for people living in rural communities.

Disparities in colonoscopy utilization for lower gastrointestinal bleeding in rural vs urban settings in the United States.

BACKGROUND: Lower gastrointestinal bleeds (LGIB) is a very common inpatient condition in the United States. Gastrointestinal bleeds have a variety of presentations, from minor bleeding to severe hemorrhage and shock. Although previous studies investigated the efficacy of colonoscopy in hospitalized patients with LGIB, there is limited research that discusses disparities in colonoscopy utilization in patients with LGIB in urban and rural settings. AIM: To investigate the difference in utilization of colonoscopy in lower gastrointestinal bleeding between patients hospitalized in urban and rural hospitals. METHODS: This is a retrospective cohort study of 157748 patients using National Inpatient Sample data and the Healthcare Cost and Utilization Project provided by the Agency for Healthcare Research and Quality. It includes patients 18 years and older hospitalized with LGIB admitted between 2010 and 2016. This study does not differentiate between acute and chronic LGIB and both are included in this study. The primary outcome measure of this study was the utilization of colonoscopy among patients in rural and urban hospitals admitted for lower gastrointestinal bleeds; the secondary outcome measures were in-hospital mortality, length of stay, and costs involved in those receiving colonoscopy for LGIB. Statistical analyses were all performed using STATA software. Logistic regression was used to analyze the utilization of colonoscopy and mortality, and a generalized linear model was used to analyze the length of stay and cost. RESULTS: Our study found that 37.9% of LGIB patients at rural hospitals compared to approximately 45.1% at urban hospitals received colonoscopy, (OR = 0.730, 95%CI: 0.705-0.7, P > 0.0001). After controlling for covariates, colonoscopies were found to have a protective association with lower in-hospital mortality (OR = 0.498, 95%CI: 0.446-0.557, P < 0.0001), but a longer length of stay by 0.72 d (95%CI: 0.677-0.759 d, P < 0.0001) and approximately $2199 in increased costs. CONCLUSION: Although there was a lower percentage of LGIB patients that received colonoscopies in rural hospitals compared to urban hospitals, patients in both urban and rural hospitals with LGIB undergoing colonoscopy had decreased in-hospital mortality. In both settings, benefit came at a cost of extended stay, and higher total costs.