Rural-Urban Commuting Area Research Articles

Abstract 4135525: Bridging the Gap: How a Specialized Heart Failure Program Improves Guideline-Directed Medical Therapy Optimization for Rural Patients

Background: Previous research has shown that patients with heart failure with reduced ejection fraction (HFrEF) living in rural areas have suboptimal utilization of guideline-directed medical therapy (GDMT). Considering the associated increased mortality risk, this highlights the need for novel approaches to improve GDMT optimization for rural patients. The aim of this study was to evaluate how rural residence influences outcomes in a multidisciplinary, telehealth-based HF-GDMT optimization program implemented at our institution. Methods: We studied 322 patients who participated in a HF-GDMT optimization program led by a HF nurse practitioner and clinical pharmacist at Penn State Hershey Medical Center. We categorized residence at the time of enrollment using the Rural-Urban Commuting Area (RUCA) classification system. Differences in patient characteristics and program outcomes between the two groups were analyzed. P < 0.05 indicated statistical significance. Results: Among the 322 patients enrolled, 56 (17.4%) resided in rural areas and 266 (82.6%) in urban areas. Rural patients were younger (mean age 61.1 vs. 65.1; p=0.04) and the two groups differed significantly in racial demographics (p=0.006). The rural group had a higher proportion of patients with chronic HF (55.4% vs. 39.8%; p=0.038) and fewer patients with a recent HF hospitalization (30.4% vs. 49.2%; p=0.012). As far as outcomes, program completion rates were similar between rural and urban patients (83.9% vs. 83.1%; p=1). Those who received target doses of the four GDMT drug classes versus the maximum tolerated dose were also similar between the rural and urban groups (21.4% vs. 15.8%; p=0.32). Conclusions: Patients from rural areas were more likely to present with chronic HF and less likely to have recent HF hospitalizations compared to their urban counterparts, suggesting potential disparities in access to HF care. Despite these differences, program outcomes, measured by completion rates and GDMT medication titration, were comparable between the two groups. Our findings emphasize the crucial role of specialized HF programs in advancing GDMT use for rural patients, which may ultimately improve HF outcomes and bridge the healthcare gap.

Rural Residence Associated with Receipt of Recommended Post-Discharge COPD Care among a Cohort of U.S. Veterans.

Individuals with chronic obstructive pulmonary disease (COPD) in rural areas experience inequitable access to care. To assess whether rural residence is associated with receipt of recommended post-discharge COPD care. We conducted a cohort study of all U.S. Veterans discharged from a VA Medical Center following COPD hospitalization from 2010 to 2019. Rural residence was defined by Rural Urban Commuting Area classification. Our primary outcome was the proportion of recommended care received within 90 days of hospital discharge, including: smoking cessation therapy; appropriate management of supplemental oxygen; appropriate prescription of inhaled therapy; and pulmonary rehabilitation. We conducted multi-variable linear regression between rural residence and the proportion of recommended care received, adjusting for age, sex, race, ethnicity, comorbidities, and primary care facility type. We tested multi-variable linear probability models for each of the recommended therapies. Of 67,649 patients, 7,370 (10.8%) resided in rural areas, and 2,000 (3.0%) in highly rural areas. Overall, the proportion of recommended COPD treatments received was low (mean 15.0%, standard deviation 21.0%). Compared with urban residence, patients with rural and highly rural residence received fewer recommended COPD care treatments (rural estimate [adjusted % difference (95% CI)]: -1.1 (-1.6, -0.6); highly rural estimate: -1.2 (-2.1, -0.3)). Rural and highly rural residence were associated with lower likelihood of receiving appropriate inhaled therapy escalation (rural estimate: -4.0 (-5.1, -3.0); highly rural estimate: -3.0 (-5.0, -1.1)) and pulmonary rehabilitation referral (rural estimate: -1.2 (-1.6, -0.9); highly rural estimate: -2.1 (-2.7, -1.4)), but a higher likelihood of receiving smoking cessation therapy (rural estimate: 5.4 (3.3, 7.5); highly rural estimate: 7.2 (3.3, 11.2)). There was no significant difference in appropriate oxygen management (rural estimate: -1.0 (-2.8, 0.9); highly rural estimate: 3.1 (-0.7, 6.9)). Patients across the rural-urban spectrum received few recommended post-discharge COPD treatments. Health systems approaches are needed to address widespread underutilization of evidence-based COPD care.

Key themes of community-oriented primary care projects from a longitudinal, rural interprofessional health professions curriculum (1997–2023)

BackgroundThe Community Oriented Primary Care Project Model (COPC) has been well studied globally as well as in the United States as a way to provide both community-centered primary care and to engage in community based research. Rural trainees through the University of Illinois College of Medicine’s Rural Medical Education Program (RMED) and Rural Pharmacy Education Program (RPHARM) students through the University of Illinois Chicago College of Pharmacy have participated in a COPC project as a capstone to a four month longitudinal, immersive community-based experience in a rural primary care setting. The purpose of this study was to assess the type of projects implemented through a rural health professions curriculum over a 30 year project period. .MethodsA research team reviewed projects on 30 elements; including topic and demographics. Patterns in COPC topics and rurality of the location in which the COPC project were also examined by using 2021 U.S. Census Bureau population data and Rural Urban Commuting Area (RUCA) Code.ResultsCOPC projects were categorized into 31 main topic areas with mental health being the most prevalent topic area covered by projects (n = 67, 15.7%) followed by 43 (10.1%) projects that focused on nutrition/exercise, and 41 (9.6%) focused on substance use (presented as a separate category from mental health in this analysis).ConclusionsFor three decades, COPC themes reflect priority health issues in rural communities while providing a scholarly activity for health profession student trainees Past projects have also been implemented in highly rural areas where research is not often conducted. The COPC research process can be easily replicated in other trainee models such as to fulfill ACGME requirements of scholarly activity and can provide a template for trainees of this model to implement community-engaged research in the future.

Comparing Traditional and Newer Glaucoma Procedures by Physician Experience and Practice Location in the United States.

Analysis of CMS Physician Payment data found that physician certification year, degree of urbanization, and estimated income by zip code were significant in predicting the proportion of traditional glaucoma procedures performed by each provider in the United States. The prevalence of microinvasive glaucoma surgery (MIGS) compared to traditional procedures has been increasing in glaucoma management. It is important to understand whether the uptake of new glaucoma procedures is associated with aspects of the physician practice. In this cross-sectional study, data on glaucoma procedure distribution, degree of urbanization and physician certification in the United States were extracted from the 2019 Centers for Medicare & Medicaid Services (CMS) Physician Payment and American Board of Ophthalmology databases. The distribution of traditional and MIGS procedure numbers for metropolitan versus non-metropolitan providers were visualized with boxplots and statistically compared using Mann-Whitney U tests. We used two-dimensional histograms and regression analyses to assess the relationship between certification year and volume of traditional versus MIGS procedures. A multivariable linear regression model was created using certification year, rural-urban commuting area (RUCA) code, and estimated income by practice zip code to predict the number and proportion of each type of glaucoma procedure. This study included 2625 providers from the CMS physician payment data who performed only traditional procedures (n=370), MIGS procedures (n=1727), or both procedure types (n=528) in 2019. The median number of MIGS procedures performed by each provider was greater in non-metropolitan areas (31 vs. 29, P=0.015) while the proportion of traditional procedures performed by each provider was greater in metropolitan areas (0.24 vs. 0.08, P<0.001). Regression analysis showed a positive relationship between certification year and the proportion of traditional procedures performed by each provider (P<0.001). Multivariable regression models found that certification year, RUCA code, and estimated income of practice location were all significant predictors (P<0.02) of the proportion of traditional procedures performed by each provider. In the United States, physicians in metropolitan areas and more recent certification years are more likely to perform a larger proportion of traditional procedures. This finding suggests that the distribution of glaucoma procedure types is related to physician factors such as degree of urbanization and duration of practice. More research is needed to better understand how such differences affect patient access and outcomes.

A ten-year overview of cancer genetic family history screening in Georgia's Latina population.

Population-based cancer genetic family history (FH) screening to identify families at high risk for BRCA-associated cancers has been endorsed by national public health policies. This report aimed to describe the utilization of FH screening services from 2013 to 2022 according to rurality and socioeconomic deprivation among Latinas in Georgia. Women who attended a medical appointment at participating Georgia Public Health Clinics were invited to complete FH screening. Screening results and participant zip code were reviewed. Area deprivation index (ADI) was measured at the census block group level and dichotomized (more deprived and less deprived). Rurality was measured through Rural-Urban Commuting Area (RUCA) codes and dichotomized (urban and rural). The ADI and RUCA codes were linked to participant data by zip code to characterize FH utilization among the Latina community. Of the 9,330 adult Latinas in Georgia that completed cancer genetic FH screening, 9,066 (97.17%) women screened negative, and 264 (2.83%) screened positive (i.e., FH suggestive of higher risk for carrying BRCA1/2 mutations compared to the general population). Screening completion was higher among Latinas in urban areas (n = 7,871) compared to rural areas (n = 1,459). Screening completion was also higher in more socially deprived areas (n = 5,207) compared to less socially deprived areas (n = 4,123). Georgia's FH screening program reached Latinas across Georgia, particularly those living in urban, socially deprived areas. To ensure equitable cancer genetic screening dissemination, future efforts should prioritize tailored outreach in rural regions and comprehensive evaluations to identify key determinants of screening trends among Georgia's Latina population.

Closing the distance gap: Evaluating patient travel distances in a community oncology practice.

157 Background: Patient travel distance is an important factor influencing healthcare access, health equity and outcomes. The Rural-Urban Commuting Area (RUCA) classification system categorizes geographic areas based on urbanization and commuting patterns to measure accessibility to healthcare. We study the relationship between RUCA and patient travel distance for a multi-site community-based, medical oncology practice in north-west Chicagoland area. Methods: Using patient ZIP code data and practice locations (clinics) from April 2023 to March 2024, we calculated and compared the straight-line, one-way, patient-clinic travel distance (travel distance) for about 20,000 patients at 5 clinics, using geospatial analysis techniques. We grouped clinics based on location and population characteristics, applied the RUCA classification to patient ZIP codes, and compared travel distances by RUCA categories. Results: The median travel distance for patients was 5.0 miles, with 82% of patients traveling 10 miles or less, and 89% traveling 15 miles or less. Table 1 shows % of patients traveling and travel distance by RUCA categories. Median travel distances for urban metro, suburban metro, and suburban small-town clinics were 4.8mi, 10.8mi and 20.6mi (Kruskal Wallis H-test, p &lt;0.001). Within 50 miles of each clinic, median travel distance for patients from urban ZIP codes (4.8 mi) was lower compared to metropolitan, micropolitan, small town and all other RUCA categories. Conclusions: Preliminary findings indicate a significant association between RUCA and travel distance, with longer travel distances for patients in non-urban locales. Proximity of cancer care sites to the patient’s home reduces distance traveled, minimizing the burden on the patients and their families. Interventions addressing transportation needs (such as improving infrastructure, increasing transportation options, subsidizing healthcare travel, etc.) can be augmented with efforts to strengthen access to community-based sites (expansion of telehealth, incentivizing providers serving non-urban areas, etc.) to reduce patient and caregiver burden. Clinic Site Category % of patients traveling &lt;5 mi &lt;10mi &lt;15mi &lt;50mi &gt;50mi A Suburban Metro 53.8% 30.7% 5.2% 9.1% 0.9% B Suburban Small Town 24.1% 40.6% 21.9% 12.3% 0.4% C Suburban Metro 45.7% 34.3% 5.01% 13.8% 1.0% D Suburban Metro 60.1% 23.9% 6.8% 7.9% 1.2% E Urban Metro 80.3% 9.7% 3.5% 5.2% 1.0% ALL SITES 54.7% 27.1% 7.2% 9.8% 0.9% Clinic Median travel distance in miles (% of patients) by patient RUCA within 50 miles of clinics Urban Metropolitan – High Commute Micropolitan – Flow to Large Urban Cluster Small Town – Flow to Small Urban Cluster All Other A 4.8 (98.2%) 27.5 (1.7%) 48.7 49.4 B 4.0 (42.3%) 8.6 (54.2%) 25.0 20.6 (3.2%) C 5.9 (95.2%) 17.7 (4.5%) 36.7 27.7 D 4.8 (97.1%) 23.7 (2.8%) 48.4 40.1 E 2.7 (98.9%) 32.3 (1.0%) 4.5 ALL 4.8 (91.2%) 10.8 (8.3%) 36.7 (0.1%) 20.6 (0.4%) 4.5

Disparities in mental health screening for veteran women with a new diagnosis of breast cancer.

222 Background: Compared to the general population, mental health disorders, including depression, are higher for Veteran women. Breast cancer (BC) is the most commonly diagnosed cancer in this population and up to 50% of women will experience depressive symptoms after diagnosis, associated with poor prognosis and survival. An increasing number of Veteran women live in rural areas, where access to behavioral health care may be limited. This study sought to evaluate rural disparities in mental health screening and follow-up evaluation after a new BC diagnosis. Methods: Women Veterans with a new BC diagnosis were identified between 2017 and 2021. Data for mental health screenings [Patient Health Questionnaire (PHQ)-2, PHQ-9, General Anxiety Disorder-7] were collected subsequent to the first BC diagnosis. Rurality was defined per the USDA Rural-Urban Commuting Area (RUCA) codes framework to determine rurality based on population density and commuting patterns. Data were abstracted from several large VA and non-VA datasets, including the Corporate Data Warehouse (CDW) Outpatient files, non-VA Care Medical and Pharmacy System files, Program Integrity Tool, and VA Informatics and Computing Infrastructure for Oncology. Rurality data was specified using CDW designations combined with ZIP-code-level USDA RUCA information. All categorical variables were analyzed using chi-square tests. Means were tested using t-tests. Results: 14,225 Veteran women with a new BC diagnosis were identified. The mean age was 63.4 (SD 11.7). The most common documented race was White (30.6%), followed by Black (15.7%). 59.6% lived in an urban setting as opposed to rural setting (40.4%). In the entire population, only 14% had a mental health screening within 3 months of a cancer diagnosis. Veteran women living in an urban setting were more likely to be screened compared to those living in a rural setting (17.4% vs 9.2%, p &lt; 0.001). For women screened within 3 months, most screened negative, regardless of rurality (76.1% rural, 75.7% urban). Of women who had a positive mental health screen within 3 months, only approximately one-third (31.8% rural, 34.2% urban) had additional screening regardless of rurality. However, for those with a negative initial screen, urban Veterans were more likely to have any additional screening (17% vs 10.2%, p = 0.001). PHQ-2 was the most common mental health screening tool used (73.8%) followed by a combination of PHQ-9 and GAD-7 (9.6%). Conclusions: Mental health screening within 3 months of breast cancer diagnosis is low for Veteran women. There is a significant difference in screening between rural and urban populations. It is critical to both improve mental health screening overall in this population and bridge the disparity gap between screening in rural and urban Veteran women. This may impact not only mental health but also breast cancer outcomes during the period encompassing treatment and survivorship.

Navigating stroke care: Geospatial assessment of regional stroke center accessibility: Geospatial Assessment of Stroke Centers

IntroductionReducing time between stroke onset and hospital intervention is crucial for positive outcomes in stroke patients. While EMS utilization decreases time to intervention, many US regions are not within timely proximity to an advanced-care-capable stroke center (ASC), defined as a comprehensive or thrombectomy-capable center. This study aims to utilize geographic methodology to identify regions in Wisconsin with both high stroke mortality and low physical accessibility to certified stroke centers (SCs), particularly ASCs. MethodsGeocoded mortality records for stroke death between 2015 and 2020 were accessed from the Wisconsin Department of Health Services. Indirectly age-standardized mortality ratios (SMRs) were estimated continuously across Wisconsin using adaptive spatial filtering and mortality records at the census block group level; the surface was then averaged by census tract for tract level SMRs. Addresses for SC locations within Wisconsin and bordering states were collected, and drive times from Wisconsin census tract centroids to the nearest SC subtypes were estimated. Drive times and mortality ratios were evaluated at the tract level alongside Rural-Urban Commuting Area (RUCA) codes. Spatial error regression modeling was used to determine RUCA classifications with the highest stroke risk independent of accessibility to stroke centers. ResultsApproximately 50%, 68%, and 78% of Wisconsin residents resided within 30, 45, and 60 minutes of an ASC, respectively. Median drive time from census tract centroids to the nearest ASC were highest for rural tracts (M=90 minutes, IQR=68-115) compared to small-town (M=82 minutes, IQR=49-113), micropolitan (M=53 minutes, IQR=43-77), and metropolitan tracts (M=19 minutes, IQR=11-35; p<0.001). Clusters of high stroke SMRs were found in urban centers as well as rural areas irrespective of county declinations. Spatial regression modeling suggested small-town census tracts had the highest SMR irrespective of physical accessibility to care and spatial correlation. In small-town census tracts >45 minutes from the nearest ASC, the median stroke SMR was 1.12 (IQR=0.94-1.40) with 226,000 residents and 150 stroke deaths per year. ConclusionSmall-town areas are associated with both long drive distance to ASC locations and high stroke mortality. Geographical analyses reveal apparent stroke care deserts and may inform strategic allocation of emergency medicine resources and coverage.

Geographic residence of patients with medication-related osteonecrosis of the jaw.

135 Background: Bone-modifying agents (BMAs) are utilized to reduce the risk of skeletal-related events in patients with bone metastases. Medication-related osteonecrosis of the jaw (MRONJ) is a rare but difficult to treat adverse event of BMAs. There are known patient and treatment related risk factors for development of ONJ, however, little is known on social and geographic risks. In patients with bone metastases and concurrent MRONJ, we seek to describe differences in patient's geographic residence (rural versus urban) with other social factors as secondary outcomes. Methods: We conducted a retrospective chart review of Atrium Health Wake Forest Baptist Comprehensive Cancer Center patients in the date range of 01/01/2013 to 11/01/2023. Included were patients with metastatic breast cancer, metastatic prostate cancer or multiple myeloma who had a diagnosis of MRONJ. We recorded Rural-Urban Commuting Area (RUCA) codes, the Area Deprivation Index (ADI), age, race, ethnicity, smoking status, alcohol use, body mass index, insurance status, type of cancer, type of BMA, and cumulative dosing of BMAs. Patients were defined as rural or urban based on criteria from the health resources and services administration website. Relative socioeconomic advantage versus disadvantage was determined by the patients’ ADIs with a decile rank from 1-10 for state ADIs and a percentile rank of 1-100 for national ADIs. SAS software (version 9.4) was used for data analysis (2023, SAS Institute Inc, Cary, NC). Results: A total of 88 patients met inclusion criteria. 64% of patients lived in urban areas and 36% in rural. Demographic features of the identified patients are listed in table 1. MRONJ patients from both urban and rural areas had an above average national and state ADI, with a trend toward higher ADIs in rural locations compared to urban locations; mean of 6.7 vs 5.3 state ADI and mean 70.6 vs 62.0 national ADI, for rural and urban patients respectively. There were no statistically significant differences between rural and urban patients in any of the demographic or health-related characteristics we examined. Conclusions: Patients with bone metastases and MRONJ in our cohort demonstrate relative socioeconomic disadvantage in comparison to national and state averages. In comparing the rural with urban patients, however, we observed relatively similar profiles. Patient characteristics by rural/urban status. Rural (n=32) Urban (n=56) Age in years (mean, sd) 64 (11.3) 65 (10.9) Sex, N (%) Male 19 (59) 29 (52) Female 13 (41) 27 (48) Race, N (%) Non-Hispanic White 30 (93.8) 40 (71.4) Non-Hispanic Black 1 (3.1) 11 (19.6) Hispanic 1 (3.1) 3 (5.4) Non-Hispanic Asian 0 (0.0) 1 (1.8) Other 0 (0.0) 1 (1.8) State ADI (mean, sd) 6.7 (2.4) 5.5 (2.7) National ADI (mean, sd) 70.6 (16.9) 62.0 (23.8) Former/current smoker, N (%) 18 (56.3) 25 (44.6) Medicaid/Medicare, N (%) 16 (50.0) 16 (28.6) Months on BMA (mean, sd) 37.2 (35.5) 40.3 (38.2)

Impact of Social Vulnerability, Race, and Urbanicity on Early Nutritional Outcomes in Patients With Cleft Palate.

Patients with cleft palate experience early feeding difficulties, resulting in increased hospital utilization due to poor nutritional status. Sociodemographic factors may impact access and outcomes for cleft patients. This study investigates the association of social vulnerability, race, and urbanicity on birth encounter metrics and failure to thrive (FTT) rates for patients with cleft palate. Retrospective data from 2013 to 2023 was queried from Cosmos, a national deidentified database from Epic electronic health record. Birth metrics, the prevalence of FTT, and MyChart activation rates were compared across sociodemographic cohorts based on (1) social vulnerability index (SVI) quartiles, (2) patient race, and (3) USDA Rural-Urban Commuting Area (RUCA) codes using χ2 or Fisher exact tests. There were 92,437 patients diagnosed with cleft palate. Birth weight was lower in socially vulnerable and Black patients (SVI 75%: 101.50±1.57oz; SVI 25%: 106.40±1.85oz; Black: 95.3±2.63oz; White: 104.90±1.02oz; Other: 104.80±2.09oz), and length of stay was longer (SVI 75%: 21±2.39d; SVI 25%: 15±2.18d; Black: 22±4d). FTT related admissions increased with SVI quartile (Q25: 0.19%; Q25-50; 0.29%, Q50-75: 0.34%; Q75: 0.47%; P<0.001). An opposite trend was observed for MyChart activation rates (P<0.001). High SVI and Black patients are susceptible to unfavorable nutritional outcomes. Access disparities, such as direct-to-provider communication systems (ie, MyChart), may contribute. Awareness of social identities, geography, and community may assist in providing individualized care in early life.

Drug Use Patterns in Wastewater and Socioeconomic and Demographic Indicators

Measuring drug use behaviors in individuals and across large communities presents substantial challenges, often complicated by socioeconomic and demographic variables. To detect spatial and temporal changes in community drug use by analyzing concentrations of analytes in influent wastewater and exploring their associations with area-based socioeconomic and sociodemographic metrics like the area deprivation index (ADI) and rural-urban commuting area (RUCA) codes. This longitudinal, cross-sectional wastewater study was performed from May 2022 to April 2023 and included biweekly influent wastewater samples of 39 analytes from 8 sampling locations across 6 wastewater treatment plants in southern Nevada. Statistical analyses were conducted in December 2023. It was hypothesized that wastewater monitoring of pharmaceuticals and personal care products (PPCPs) and high-risk substances (HRSs) could reveal true spatial and temporal drug use patterns in near-real time. Data collection of samples for PPCPs and HRSs was performed using mass spectrometry. Both ADI and RUCA scores were utilized to characterize neighborhood contexts in the analysis. The false discovery rate (FDR) method was utilized to correct for multiple comparisons (PFDR). Over the 12-month wastewater monitoring period, 208 samples for PPCPs and HRSs were collected, and analysis revealed an increase in the consumption of HRSs and the seasonal variation in PPCP use in southern Nevada. There was a significant increase in levels of stimulant-associated analytes, such as cocaine (β = 9.17 × 10-4; SE = 1.29 × 10-4; PFDR = 1.40 × 10-10), and opioids or their metabolites, notably norfentanyl (β = 1.48 × 10-4; SE = 1.88 × 10-4; PFDR = 1.66 × 10-12). In contrast, DEET, an active ingredient in mosquito and tick repellents, demonstrated a seasonal use pattern (β = -4.85 × 10-4; SE = 2.09 × 10-4; PFDR = 4.87 × 10-2). Wastewater from more disadvantaged or rural neighborhoods, as assessed through ADI and RUCA scores, was more likely to show a significant positive correlation with HRSs, such as cocaine (β = 0.075; SE = 0.038; P = .05) and norfentanyl (β = 0.004; SE = 0.001; P = 1.64 × 10-5). These findings suggest that wastewater monitoring of PPCPs and HRSs offers a complementary method to existing public health tools, providing timely data for tracking substance use behaviors and use of PPCPs at a population level.

Abstract A132: Missed Opportunities? Regional availability of Low Dose CT lung cancer screening facility locations in the year prior to diagnoses: A descriptive comparison of American Indian and Non-Hispanic White lung cancer patients in North Carolina

Abstract INTRODUCTION American Indians (AI) have much higher incidence rates of lung cancer (LC) compared with non-Hispanic Whites (NHW) in the US. While low-dose computed tomography (LDCT) screening facilitates early detection of lung cancer, it is unknown how available LDCT screenings are to racially and geographically diverse populations in North Carolina (NC). To address this gap in knowledge, we conducted a descriptive study to characterize incident LC cases among AIs and NHWs, the distance from their location at diagnosis to the nearest LDCT screening facility and explored whether distance was associated with late-stage LC diagnoses. Methods Data were obtained from the Cancer Information and Population Health Resource (CIPHR), which comprise data from NC Central Cancer Registry (CCR) as well as public and private health insurance claims for the state. We identified ZIP codes and dates of rendered service for facilities providing LDCT by searching through claims from 2015-20. In addition, we identified incident LC cases among AIs and NHWs aged ≥18 years, from 2015-19. We assembled lists of LDCT facilities that existed in the year prior to each incident LC case. We calculated the minimum centroid to centroid distance to all facilities. Clinical attributes included age at diagnosis, sex, histology, stage at diagnosis, and rurality as measured by Rural Urban Commuting Area. Risk ratios were calculated for late-stage LC diagnoses across a range of thresholds for patient’s distance to nearest LDCT screening facility for AIs and NHWs. Results We identified 388 AI and 26,867 NHW incident LC cases in NC between 2015-20. Compared to NHWs, the median age at diagnosis for AIs was 5 years younger (AI: 65 vs. NHW: 69); more frequently male (AI: 54% vs NHW: 51%); and almost twice as likely to reside in rural areas (AI: 52% vs. NHW: 28%). There were no differences in late-stage LC diagnoses (AI: 54% vs. NHW: 52%). For distance (in miles) to the nearest LDCT screening facility, the median [Interquartile range] was twice as high for AIs (9.9 miles [0.8, 16.30]) compared to NHWs (5.3 miles [0, 12.1]). Among NHWs, there were statistically significant associations between distance and late-stage LC diagnosis at the shortest distance threshold of 5 miles (RR=1.04; 95%CL: 1.02, 1.07) through the threshold of 30 miles (RR=1.10 95%CL: 1.05, 1.15). There was no association across any distance threshold among AI lung cancer patients. Conclusions The large difference in accessibility of LDCT screening was not strongly associated with metastatic lung cancer diagnoses, possibly because so many patients were diagnosed late, reflecting poor early detection across all populations. We found that 80% of AIs with LC lived more than 10 miles away from LDCT screening facilities. This geographic distance may increase difficulty accessing cancer care geographically, and contribute to suboptimal LC screening rates. If efforts are to be made to increase early detection and improve survival, accessibility needs to be addressed on different dimensions. Citation Format: Bradford E. Jackson, Marc Emerson, Daniel Carrizosa, Chris Baggett, Lisa Spees, Joel Begay, Ana Salas, Yadurshirni Raveendran, Tomi Akinyemiju, Rachel Denlinger-Apte, Stephanie Wheeler, Ronny Bell. Missed Opportunities? Regional availability of Low Dose CT lung cancer screening facility locations in the year prior to diagnoses: A descriptive comparison of American Indian and Non-Hispanic White lung cancer patients in North Carolina [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A132.

Abstract B166: Impact of rurality on early-onset colorectal cancer outcomes: Age, geographic disparities, and the need for improved access and awareness in the United States

Abstract BACKGROUND: While overall colorectal cancer (CRC) rates have stabilized or declined in the United States (U.S.), early-onset CRC (EO-CRC), diagnoses before age 50, has increased. Rural U.S. residents face a higher CRC incidence (43.9 vs. 40.1 per 100,000) than urban residents. CRC mortality, once highest in the Northeast, is now most prevalent in the South and Midwest, particularly among Non-Hispanic Black populations. This geographic shift is also evident in EO-CRC. Existing literature lacks comprehensive analysis on the influence of rurality and age at CRC diagnosis. In this study, we sought to elucidate the relationships between age at diagnosis with CRC outcomes, while examining the moderating role of rurality. Methods: We used data from the 2006-2020 Surveillance, Epidemiology, and End Results (SEER) Program. Rurality was defined using census tract level U.S. Department of Agriculture (USDA)’s 2010 Rural Urban Commuting Area (RUCA) codes: rural (codes 8, 9, 10) and urban (all other listed codes). We conducted multilevel regression modeling (logistic and Cox proportional hazards) to examine the associations between age at diagnosis, rurality, and CRC outcomes (late-stage diagnosis and survival), adjusting for race, marital status, sex, and year of diagnosis. Results: We identified 835,907 patients aged 20-79 from the 2006-2020 SEER program. Most patients lived in urban areas (86%), were non-Hispanic white (66%), and married (41%). After adjusting for marital status, race, sex, and diagnosis year, we found that patients aged 30-39 (aOR: 1.49, 95% CI: 1.44–1.55) and 40-49 (aOR: 1.43, 95% CI: 1.39–1.46) had over a 40% increased likelihood of late-stage CRC compared to patients aged 50-59. Urban patients aged 30-39 had a 52% higher likelihood of late-stage CRC (aOR: 1.52, 95% CI: 1.46–1.58). Patients aged 20-29 (aOR: 0.81, 95% CI: 0.77–0.86) had a reduced risk of CRC death compared to those aged 50-59. Conversely, patients aged 40-49 (aOR: 1.09, 95% CI: 1.07–1.11), 60-69 (aOR: 1.16, 95% CI: 1.14–1.17), and 70-79 (aOR: 1.39, 95% CI: 1.28–1.36) had increased risks of CRC death compared to patients aged 50-59. Rural patients aged 20-29 (aOR: 0.79, 95% CI: 0.68–0.94) and 30-39 (aOR: 0.95, 95% CI: 0.87–1.03) had a reduced risk of CRC death compared to rural patients aged 50-59. Conclusion: We observed that patients aged 30-49 were more likely to be diagnosed with late- stage CRC compared to those aged 50-59, particularly in urban areas. To reduce the burden of EO-CRC and prevent advanced-stage diagnoses in young adults, it is essential to enhance access to care and raise awareness of CRC symptoms among younger Americans. Future research should explore urban -rural barriers to healthcare access, including the role of healthcare infrastructure, transportation, and provider availability, to develop strategies for improving EO-CRC early detection and treatment outcomes. Citation Format: Meng-Han Tsai, Justin X. Moore, Caitlyn Grunert. Impact of rurality on early-onset colorectal cancer outcomes: Age, geographic disparities, and the need for improved access and awareness in the United States [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B166.

Abstract A147: A ten-year overview of cancer genetic family history screening in Georgia’s Latina population

Abstract Introduction: Population-based cancer genetic family history screening to identify families at high risk for BRCA-associated cancers has been endorsed by national public health policies. This report aimed to describe the utilization of family history screening services from 2013 to 2022 according to rurality and socioeconomic deprivation among the Latina community in the state of Georgia. Methods: Self-identified Latina women who attended a medical appointment at participating Georgia Public Health Clinics were invited to utilize the cancer genetic family history screening services. Screening results and participant zip code were reviewed. Area deprivation index (ADI) was measured at the census block group level and assessed as a dichotomous variable (more deprived and less deprived). Rurality was measured through Rural-Urban Commuting Area (RUCA) codes and was assessed dichotomously (urban and rural). The ADI and RUCA codes were linked to participant data by zip code to characterize genetic service access among the Latina community. Results: We found 9,330 (3.31%) adult Latinas in Georgia completed cancer genetic family history screening from 2013-2022. In this sample, 9,066 (97.17%) women screened negative, and 264 (2.83%) women screened positive (i.e., family history suggestive of higher risk for carrying BRCA1/2 mutations compared to the general population). The family history screening program reached Latinas in 16 of 18 public health districts in Georgia. However, family history screening completion varied significantly across the 16 districts (mean=327 women, range: 2 - 1,337). FH screening completion was higher among Latinas in urban areas (n=7,871) than Latinas in rural areas (n=1,459). Latinas who lived in more socially deprived areas appeared to have a higher number of screening completion (n=5,207) than those living in less socially deprived areas (n=4,123) due to interaction with urbanicity. Conclusions: Georgia’s family history screening program was able to reach Latina women across the state of Georgia, particularly those living in urban, socially deprived areas. To ensure equitable cancer genetic screening dissemination, future efforts should prioritize tailored outreach in rural regions and a comprehensive evaluation to identify key determinants of screening trends among Georgia’s Latina population. Citation Format: Dayanna A. Ramírez León, Lauren E. Barber, Sheryl Gabram-Mendola, Cindy Snyder, Susan Vadaparampil, Lindsay Fuzzell, Lauren E. McCullough, Lynn Durham, Yue Guan. A ten-year overview of cancer genetic family history screening in Georgia’s Latina population [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A147.

Association of Neighborhood Social Determinants of Health with Acute Kidney Injury during Hospitalization.

Acute kidney injury (AKI) is common among hospitalized patients. However, the contribution of social determinants of health (SDOH) to AKI risk remains unclear. This study evaluated the association between neighborhood measures of SDOH and AKI development and recovery during hospitalization. This is a retrospective cohort study of adults without end-stage kidney disease admitted to a large southern U.S. healthcare system from 10/2014 to 9/2017. Neighborhood SDOH measures included: 1) Socioeconomic status: Area Deprivation Index (ADI) scores, 2) Food access: Low Income Low Access (LILA) scores, 3) Rurality: Rural Urban Commuting Area (RUCA) scores, and (4) Residential segregation: dissimilarity and isolation scores. The primary study outcome was AKI based on serum creatinine (SCr)-KDIGO criteria. Our secondary outcome was lack of AKI recovery (requiring dialysis or elevated SCr at discharge). The association of SDOH measures with AKI was evaluated using generalized estimating equation models adjusted for demographics and clinical characteristics. Among 26,769 patients, 26% developed AKI during hospitalization. Compared with those who did not develop AKI, those who developed AKI were older (median 60 vs. 57 years), more commonly men (55% vs. 50%), and more commonly self-identified as Black (38% vs. 33%). Patients residing in most disadvantaged neighborhoods (highest ADI tertile) had 10% (95%CI: 1.02-1.19) greater adjusted odds of developing AKI during hospitalization than counterparts in least disadvantaged areas (lowest ADI tertile). Patients living in rural areas had 25% higher adjusted odds of lack of AKI recovery by hospital discharge (95% CI: 1.07, 1.46). Food access and residential segregation were not associated with AKI development or recovery. Hospitalized patients from the most socioeconomically disadvantaged neighborhoods and from rural areas had higher odds of developing AKI and not recovering from AKI by hospital discharge, respectively. A better understanding of the mechanisms underlying these associations is needed to inform interventions to reduce AKI risk during hospitalization among disadvantaged populations.

Practice outcomes for the first decade of Rural Pharmacy Education (RPHARM) Program graduates

BackgroundThe maldistribution of pharmacy services in underserved areas is a national issue. Analysis of data from the 2019 National Pharmacist Workforce Study indicated that 13.9% of pharmacists were working in a rural community. However, the percentage of people living in rural communities in the United States is 20.0%. Currently, there are 20 rural pharmacy programs in the United States, including the Rural Pharmacy Education (RPHARM) Program at University of Illinois Chicago (UIC) College of Pharmacy, which contain both didactic and experiential rural components. This research project examines the practice outcomes of the RPHARM Program graduates.MethodsDescriptive analysis was used to examine the practice outcome characteristics of RPHARM Program graduates between 2014 and 2023. The characteristics of the RPHARM graduates included the rurality of hometowns, practice locations and populations, and distance of practice locations to hometowns. Rural practice outcomes were described utilizing frequently used rural definitions. The practice locations of 54 of the 61 RPHARM graduates were used in the analysis.ResultsApproximately 41% of the practicing RPHARM graduates were from rural hometowns and two-thirds were female. RPHARM graduates mostly work in either a community setting (44.4%) or a hospital setting (37.0%). Approximately 11% worked in a federal government organization and 5.6% worked in a long-term care pharmacy. When examining job location, 42.6% were working in a rural location based on Rural–Urban Commuting Area Version 3.0 and 35.2% of RPHARM graduates had always worked in a rural location. Approximately 57% of practicing RPHARM graduates are working in a location < 50 miles from their hometown, and 13% are working 50 to 100 miles from their hometown. Approximately 74% of RPHARM graduates are practicing in Illinois.ConclusionsApproximately 40% of RPHARM graduates practice in rural locations. A significant portion (35.2%) of RPHARM graduates have always practiced in rural locations, and many (57.4%) are practicing near their hometowns. Results indicate that the RPHARM Program is making meaningful contributions to increasing the rural pharmacy workforce. Due to the lack of information on rural pharmacy practice outcomes, all programs with rural pharmacy content are encouraged to track graduates’ practice locations.

Pre-injury methamphetamine use is associated with increased length of hospital stay in rural orthopaedic trauma patients

ObjectivesThe primary focus of this study is to determine if rural methamphetamine positive patients experience longer hospital length of stays compared to urban methamphetamine positive patients following an orthopaedic trauma. MethodsPatients presenting with traumatic orthopaedic injuries and urine drug screen were categorized into urban, suburban, and rural cohorts found in the Rural Urban Commuting Area codes based on home residence zip codes. Demographic, injury, hospital stay, and follow-up data were collected from the medical records. Comparisons between cohorts were determined by Chi square, Fisher exact, unpaired t-Tests, or ranked sum tests. DesignA retrospective cohort analysis. SettingAcademic Level I Trauma Center. Patient selection criteriaPatient records were examined between January 2013 to January 2023 for a traumatic orthopaedic injury and a urine drug screen result at the time of presentation to an academic Level I trauma center. Outcome measures and comparisonsMethamphetamine use status, patient age at time of admission, sex, marital status, insurance status, home zip code, orthopaedic injury location, complications, if the patient underwent surgery for orthopaedic injuries, admission date, discharge date, and discharge location were measured. Results249 patients met inclusion criteria for this analysis. Methamphetamine positive patients are significantly more likely to be younger, more likely to have surgery for orthopaedic injuries, experience a medical complication, or be discharged to home or a rehabilitation facility compared to methamphetamine negative patients. Urban patients experienced a shorter length of stay compared to suburban and rural patients, regardless of methamphetamine use status. Patients with Medicare, military, workers compensation, or commercial insurance are significantly more likely to attend follow-up appointments than patients with Medicaid or self-pay. ConclusionsMethamphetamine positive patients overall do not experience a longer length of hospital stay compared to methamphetamine negative patients. Rural methamphetamine positive patients experience a longer length of hospital stay compared to urban methamphetamine positive patients.

Trends in Patient Complexity, Practice Setting, and Surgeon Reimbursement for Urolithiasis: Do Rural Urologists Pay the Price?

ObjectivesTo evaluate the relationship between patient complexity, practice setting, and surgeon reimbursement for ureteroscopy and percutaneous nephrolithotomy (PCNL). MethodsThe “2021 Medicare Physician and Other Provider” file was used to collect Rural-Urban Commuting Area (RUCA) codes and hierarchical condition category (HCC) scores of urologists. Higher HCC score corresponds to higher medical complexity and higher RUCA code corresponds to a more rural area. Medicare reimbursement for ureteroscopy and PCNL were collected. Linear regressions were performed to predict change in reimbursement based on RUCA and HCC scores. ResultsIn 2021, 52,816 procedures under CPT code 52356 (ureteroscopy) and 1649 procedures under 50080 or 50081 (PCNL) were billed to Medicare. Mean reimbursement was $338.24 for ureteroscopy and $957.89 for PCNL. For ureteroscopy, higher HCC score predicted lower reimbursement (p<0.001). Higher HCC score predicted higher reimbursement for PCNL (p<0.01). Average RUCA for ureteroscopy was higher than for PCNL (p=0.02). Rural location predicted lower reimbursement for ureteroscopy (p<0.001), however there was no association for PCNL. ConclusionsFor ureteroscopy, higher-risk patients are associated with lower reimbursement while the opposite holds true for PCNL. Rural practices were associated with lower reimbursement for ureteroscopy, but there was no association between location and PCNL reimbursement. Together, these findings suggest practice pattern variation between ureteroscopy and PCNL and highlight gaps in reimbursement policy. Risk-adjusted reimbursement should be considered to incentivize urologists to treat complex patients within their practice scope.

Rural-Urban Disparities in the Surgical Treatment of Carpal Tunnel Syndrome in the United States.

Rural populations are at risk for poorer access to health services and lower quality care, and recent policy efforts have focused on the reduction of rural-urban health inequities. The objective of this study was to identify differences in (1) patient demographic factors, (2) the utilization of confirmatory electrodiagnostic (EDS) testing, and (3) preoperative EDS severity between rural and urban populations undergoing carpal tunnel release (CTR). We retrospectively identified 1,297 patients who underwent CTR at a tertiary referral center from July 2008 to June 2013. Exclusion criteria were acute trauma or infection, revision surgery, incomplete medical records, neoplasm excision, and the lack of rural-urban commuting area (RUCA) code for rural-urban classification. A final cohort of 1,138 patients who underwent CTR were included. The RUCA was used to classify patients by rural or urban residence. We assessed patient demographic factors including comorbidities, the utilization of confirmatory EDS testing, and preoperative EDS severity. A bivariate screen was performed for associations between rural-urban residence and our outcome variables, and variables with p <0.05 in the bivariate screen were included in a multivariable logistic regression model. Of the 1,138 patients, 55 patients (5%) resided in a rural area and 1,083 patients (95%) resided in an urban area. No difference was found in the utilization of confirmatory EDS testing between rural and urban patients undergoing CTR. The final multivariable logistic regression model showed that rural residence was independently associated with older age, lower body mass index (BMI), and EDS-negative disease. Rural patients undergoing CTR are more likely to have EDS-negative disease, which calls into question the effectiveness of EDS testing as a confirmatory test in this population. There is a paucity of literature on the outcomes of CTR in a rural population, and further studies are needed to ensure rural-urban equity in care.

Association of Race With Referral Disparities for Patients With Diabetic Foot Ulcers at an Institution Serving Rural and Urban Populations.

Racial minorities are more likely to develop type 2 diabetes and experience associated microvascular complications. Non-Hispanic Blacks and Hispanics initially present with more severe diabetic foot ulcers (DFUs) and peripheral artery disease (PAD), with an associated 10-fold increase in risk for lower extremity amputation within the first year after diagnosis. This study was designed to determine if race is associated with a failure to refer to specialists for DFU treatment, and the severity of DFU at the time of initial presentation. Patients were identified from the medical record based on a diagnosis related to diabetic foot complications between January 1, 2018, and June 1, 2023, in the family medicine, endocrinology, orthopaedic, or emergency clinics at a Midwest Academic Hospital serving rural and urban populations. Patients self-reported race, demographics, severity of ulcer based on Wagner ulcer scale at time of referral, eventual amputation status, and measures of social determinants of health including the national Area Deprivation Index (ADI) and Rural-Urban Commuting Area (RUCA) codes were manually extracted and analyzed for correlations with referral status. A total of 597 patients were eligible for inclusion. Race was not associated with lower referral rates (P > .99) or source of referral (P = .58) to specialty clinic and ulcer severity at initial examination (P = .34). Patients who initially presented to the emergency department had more severe ulcers (P = .016), and higher severity was significantly associated with lower limb amputation vs mild ulcers (odds ratio = 38.8, P = .02). No significant differences in referral source or severity of ulcer at presentation were seen for sex, age, marital status, insurance type, rural status, ADI, time from referral to appointment, or eventual amputation. In this study, we found that patient race was not associated with severity of DFU at presentation or subsequent referral to a Midwest academic specialty orthopaedic clinic for care.Level of Evidence: Level III, retrospective review.