Breast Cancer Presentation, Surgical Management and Mortality Across the Rural-Urban Continuum in the National Cancer Database

Impact of Structural Racism and Social Determinants of Health on Disparities in Breast Cancer Mortality

The striking ethnic and racial disparities in breast cancer mortality are not explained fully by pathologic or clinical features. Structural racism contributes to adverse conditions that promote cancer inequities, but the pathways by which this occurs are not fully understood. Social determinants of health, such as economic status and access to care, account for a portion of this variability, yet interventions designed to mitigate these barriers have not consistently led to improved outcomes. Based on the current evidence from multiple disciplines, we describe a conceptual model in which structural racism and racial discrimination contribute to increased mortality risk in diverse groups of patients by promoting adverse social determinants of health that elevate exposure to environmental hazards and stress; these exposures in turn contribute to epigenetic and immune dysregulation, thereby altering breast cancer outcomes. Based on this model, opportunities and challenges arise for interventions to reduce racial and ethnic disparities in breast cancer mortality.

Mammography Among Women Residing in Urban Versus Rural Utah: Breast Cancer Survival

BACKGROUND

Annual or biennial breast cancer screenings are recommended for women 40 and older. Women residing in rural areas have worse breast cancer survival rates than urban women, but no study has focused on rural versus urban residence in Utah regarding breast cancer screening and mortality.

METHODS

Cases (n = 14,516) were women aged > 39 diagnosed with a first primary invasive breast cancer between 1998 and 2017 in Utah. Controls (n = 63,117) without a history of breast cancer were matched to cases by birth year and birth state. Mammography screening status was identified by Current Procedural Terminology (CPT) codes. Logistic regression was used to assess the odds of breast cancer diagnosis. The Cox proportional hazards model was used to assess survival outcomes for rural and urban breast cancer patients based on screening status.

RESULTS

Screening mammography usage among rural patients diagnosed with breast cancer was lower (17.7%) than urban usage (20.7%). Usage of screening mammograms resulted in higher odds of breast cancer diagnosis at localized stage rather than at a regional and distant stage. Rural breast cancer cases had a higher proportion of deaths, and a lower proportion screened, than urban breast cancer cases. Hazard ratios showed that screening mammography usage was associated with better survival among both rural (HR = 0.50, 95% CI = 0.44-0.57) and urban (HR = 0.56, 95% CI = 0.39-0.82) breast cancer cases.

CONCLUSION

Screening mammography usage was associated with better overall survival regardless of place of residence. Removing barriers and improving information regarding breast cancer screenings are needed in both rural and urban settings in Utah to increase mammography usage, with the overall goal of increasing early detection and outcomes of breast cancer.

Differential Access to Breast Magnetic Resonance Imaging Compared with Mammography and Ultrasound

INTRODUCTION

For high-risk women, breast magnetic resonance (MR) is the preferred supplemental imaging option, but spatial access differences may exacerbate disparities in breast care.

METHODS

This was a cross-sectional study examining distance between ZIP codes and the nearest breast imaging facility (MR, mammography, ultrasound) using 2023 data from the Food and Drug Administration and the American College of Radiology. Linear regression was used to assess distance differences controlling for Area Deprivation Index (ADI), urbanicity, and population size. Analyses were conducted in 2024.

RESULTS

Among the 29,629 ZIP codes with an ADI and known urbanicity, unadjusted mean distance to breast MR was 23.2±25.1 miles (SD) compared with 8.2±8.3 for mammography and 22.2±25.0 for ultrasound. Hence, the average distance to breast MR facilities was 2.8 times further than to mammography facilities. ADI and urbanicity were associated with increased distance to the nearest breast imaging facility. The additional miles associated with the least advantaged areas compared with most advantaged areas was 12.2 (95%CI: 11.3, 13.2) for MR, 11.5 miles (95%CI: 10.6, 12.3) for ultrasound, and 2.4 (95%CI: 2.1, 2.7) for mammography. Compared with metropolitan areas, the additional miles to breast MR facilities was 23.2 (95%CI: 22.5, 24.0) for small/rural areas.

CONCLUSIONS

Spatial access is substantially better for mammography sites compared with breast MR or ultrasound sites. Given these findings, consideration of options to mitigate the impact of differential access should be considered. For example, mammography sites could offer contrast-enhanced mammography. Future research should examine the feasibility and effectiveness of this and other options.

Low Hospital Volume Is Associated with Higher All-Cause Mortality in Black Women with Triple Negative Breast Cancer

INTRODUCTION

This study examines the association between hospital volume and all-cause mortality in Black women with triple negative breast cancer (TNBC) who received surgery and chemotherapy.

METHODS

Black women ages 18+ with stage I-III TNBC who received both surgery and chemotherapy were identified in the National Cancer Database (NCDB). Hospital volume was determined using the number of annual breast cancer cases divided by the number of years the hospital participated in the NCDB. Hospital annual volume quartiles ranged from Q1 (lowest) to Q4 (highest). Univariable analysis and multivariable logistic regression modeling with restricted cubic splines examined the effect of hospital volume on all-cause mortality.

RESULTS

Sixteen thousand five hundred fifty-six patients met the study criteria. All-cause mortality incidence was lower at higher volume compared to lower volume hospitals Q1 24.1% (95% CI: 22.8 to 25.4), Q2 21.8% (95% CI: 20.5 to 23.1), Q3 20.9% (95% CI: 19.6 to 22.1), Q4 19.0% (95% CI: 17.7 to 20.1), p<0.001. On multivariable analysis, treatment at the highest hospital volume quartile was associated with a 21% reduction in the odds of death compared to the lowest quartile [Q4 Vs. Q1, OR=0.79 (95% CI: 0.67 to 0.92)]. For every 100-patient increase in annual volume, all-cause mortality was reduced by 4% [OR=0.96 (95% CI: 0.94 to 0.98)]. There was a significant linear dose-dependent relationship between increasing hospital volume and all-cause mortality.

CONCLUSION

Black women treated at high-volume hospitals have lower all-cause mortality than those at low-volume hospitals. Future studies should examine the characteristics of high-volume hospitals associated with improved outcomes.

Factors Associated with Abnormal Mammogram Results Among Low-Income Uninsured Populations in Medically Underserved And Rural Texas Regions

Background

This study investigated the potential associations between neighborhood characteristics, rurality, ethnicity/race, and breast cancer screening outcomes in designated Health Professional Shortage Areas in Central Texas. Limited access to preventive medical care can impact screening rates and outcomes. Previous research on the effects of factors such as rurality, neighborhood socioeconomic status, and education level on cancer prevention behaviors has yielded inconsistent results.

Materials and Methods

We analyzed data from a state-funded breast and cervical cancer screening programs for disadvantaged and medically underserved individuals. A mixed-effects logistic regression model was used to assess the impact of residency characteristics (rurality, educational attainment, unemployment, and poverty) on abnormal breast cancer screening outcomes, with individual level (age, ethnicity, race, and education) as control variables.

Results

During the studied time, there were 1,139 women screened and 134 abnormal mammograms found. Residency characteristics were not significantly associated with abnormal mammography outcomes at 0.05. However, individual factors are strongly associated with abnormal screening results. Non-Hispanic or Latino white women had increased odds of abnormal clinical outcomes compared with Hispanic or Latino women (OR = 2.03, CI 1.25-3.28; p = 0.004). Additionally, women residing in counties with more than 30% of the population completing college had increased odds of abnormal mammogram outcomes compared with counties with less than 15% college attainment (OR = 2.89, CI 0.99-8.38; p = 0.051).

Conclusions

This study found a significant correlation between area-level educational characteristics and abnormal mammography outcomes. Future research should explore the contextual risk factors influencing breast cancer occurrence and develop targeted interventions for this population.

Identifying and Treating Those at Risk: Disparities in Rapid Relapse Among TNBC Patients in the National Cancer Database

PURPOSE

This study was designed to characterize features of rapid relapse TNBC (rrTNBC), an aggressive, poor prognosis breast cancer subset using the National Cancer Database (NCDB).

METHODS

Patients diagnosed with TNBC between 2010 and 2019 within NCDB were included in analyses. rrTNBC was defined as all-cause mortality ≤24 months from diagnosis. Patient demographic, tumor, and treatment association with rrTNBC were evaluated in univariate, bivariate analyses, and multiple logistic regression models. Two-part models are used to compare receipt of treatment (i.e., receipt of both chemotherapy and breast surgery) versus not in its relationship with rrTNBC.

RESULTS

Overall, 14.5% of patients were categorized as rrTNBC. Age older than 75 years (-41.3%), Black race (-1.4%), Medicare (-2.6%), and Charlson-Deyo score ≥2 (-4.9%) were associated with a lower probability of receiving both chemotherapy and breast surgery. Not receiving both treatments (vs. receiving both chemotherapy and breast surgery) was associated with a two-to-three-fold higher probability of rrTNBC among patients aged older than 75 years (16.6% vs. 6%), having Medicare (3.6% vs. 1.6%), and Charlson-Deyo score ≥2 (16.6% vs. 5.9%).

CONCLUSIONS

Age, insurance, and comorbidity were related to a lower likelihood of treatment; yet receiving treatment reduced the risk of rrTNBC threefold for each. These findings might be valuable to inform clinical care delivery, as well as future research that examines treatment protocols among diverse patients.

Prognostic Factors in Patients Diagnosed with Gallbladder Cancer over a Period of 20 Years: A Cohort Study

BACKGROUND

Gallbladder cancer (GBC) is an uncommon cancer. This study aimed to determine the outcomes of GBC in relation to geographic, demographic, and clinical factors in a Canadian province from 2000 to 2019.

METHODS

This population-based retrospective cohort study included all patients diagnosed with gallbladder cancer (GBC) in Saskatchewan, Canada, from 2000 to 2019. Cox proportional multivariate regression analysis was conducted to identify factors associated with poorer outcomes.

RESULTS

In total, 331 patients with a median age of 74 years and male-female ratio of 1:2 were identified. Of these patients, 305 (92%) had a pathological diagnosis of GBC. Among patients with documented staging data, 64% had stage IV disease. A total of 217 (66%) patients were rural residents, and 149 (45%) were referred to a cancer center. The multivariate analysis for patients with stage I-III GBC showed that stage III disease [hazard ratio (HR), 2.63; 95% confidence interval (CI), 1.09-6.34)] and urban residence (HR, 2.20; 95% CI, 1.1-4.39) were correlated with inferior disease-free survival. For all patients, stage IV disease (HR, 3.02; 95% CI, 1.85-4.94), no referral to a cancer center (HR, 2.64; 95% CI, 1.51-4.62), lack of surgery (HR, 1.63; 95% CI, 1.03-2.57), a neutrophil-lymphocyte ratio of >3.2 (HR, 1.57; 1.05-2.36), and age of ≥70 years (HR, 1.51; 95% CI, 1.04-2.19) were correlated with inferior overall survival.

CONCLUSIONS

In this real-world context, the majority of patients with GBC were diagnosed at a late stage and were not referred to a cancer center. For those with early-stage GBC, living in an urban area and having stage III disease were linked to worse outcomes. Across all stages of GBC, stage IV disease, older age, absence of surgery, lack of referral to a cancer center, and a high neutrophil-to-lymphocyte ratio were associated with poorer survival.

Geographic Disparities and Payment Variation for Immediate Lymphatic Reconstruction in Massachusetts

BACKGROUND

Little is known about practice patterns and payments for immediate lymphatic reconstruction (ILR). This study aims to evaluate trends in ILR delivery and billing practices.

METHODS

We queried the Massachusetts All-Payer Claims Database between 2016 and 2020 for patients who underwent lumpectomy or mastectomy with axillary lymph node dissection for oncologic indications. We further identified patients who underwent lymphovenous bypass on the same date as tumor resection. We used ZIP code data to analyze the geographic distribution of ILR procedures and calculated physician payments for these procedures, adjusting for inflation. We used multivariable logistic regression to identify variables, which predicted receipt of ILR.

RESULTS

In total, 2862 patients underwent axillary lymph node dissection over the study period. Of these, 53 patients underwent ILR. Patients who underwent ILR were younger (55.1 vs 59.3 years, P = 0.023). There were no significant differences in obesity, diabetes, or smoking history between the two groups. A greater percentage of patients who underwent ILR had radiation (83% vs 67%, P = 0.027). In multivariable regression, patients residing in a county neighboring Boston had 3.32-fold higher odds of undergoing ILR (95% confidence interval: 1.76-6.25; P < 0.001), while obesity, radiation therapy, and taxane-based chemotherapy were not significant predictors. Payments for ILR varied widely.

CONCLUSIONS

In Massachusetts, patients were more likely to undergo ILR if they resided near Boston. Thus, many patients with the highest known risk for breast cancer-related lymphedema may face barriers accessing ILR. Greater awareness about referring high-risk patients to plastic surgeons is needed.

The Association of Food Insecurity and Surgical Outcomes Among Patients Undergoing Surgery for Colorectal Cancer

BACKGROUND

Food insecurity predisposes individuals to suboptimal nutrition, leading to chronic disease and poor outcomes.

OBJECTIVE

We sought to assess the impact of county-level food insecurity on colorectal surgical outcomes.

DESIGN

Retrospective cohort study.

SETTING

Data from the Surveillance, Epidemiology, and End Results-Medicare database was merged with county-level food insecurity obtained from the Feeding America: Mapping the Meal Gap report. Multiple logistic and Cox regression adjusted for patient-level covariates were implemented to assess outcomes.

PATIENTS

Medicare beneficiaries diagnosed with colorectal cancer between 2010 and 2015.

MAIN OUTCOME MEASURES

Surgical admission type (nonelective and elective admission), any complication, extended length of stay, discharge disposition (discharged to home and nonhome discharge), 90-day readmission, 90-day mortality, and textbook outcome. Textbook outcome was defined as no extended length of stay, postoperative complications, 90-day readmission, and 90-day mortality.

RESULTS

Among 72,354 patients with colorectal cancer, 46,296 underwent resection. Within the surgical cohort, 9091 (19.3%) were in low, 27,716 (59.9%) were in moderate, and 9,489 (20.5%) were in high food insecurity counties. High food insecurity patients had greater odds of nonelective surgery (OR: 1.17; 95% CI, 1.09-1.26; p < 0.001), 90-day readmission (OR: 1.11; 95% CI, 1.04-1.19; p = 0.002), extended length of stay (OR: 1.32; 95% CI, 1.21-1.44; p < 0.001), and complications (OR: 1.11; 95% CI, 1.03-1.19; p = 0.002). High food insecurity patients also had decreased odds of home discharge (OR: 0.85; 95% CI, 0.79-0.91; p < 0.001) and textbook outcomes (OR: 0.81; 95% CI, 0.75-0.87; p < 0.001). High food insecurity minority patients had increased odds of complications (OR 1.59; 95% CI, 1.43-1.78) and extended length of stay (OR 1.89; 95% CI, 1.69-2.12) compared with low food insecurity white patients (all, p < 0.001). Notably, high food insecurity minority patients had 31% lower odds of textbook outcomes (OR: 0.69; 95% CI, 0.62-0.76; p < 0.001) compared with low food insecurity White patients ( p < 0.001).

LIMITATIONS

This study was limited to Medicare beneficiaries aged 65 years or older; hence, it may not be generalizable to younger populations or those without insurance or with private insurance.

CONCLUSIONS

County-level food insecurity was associated with suboptimal outcomes, demonstrating the importance of interventions to mitigate these inequities. See Video Abstract.

LA ASOCIACIN DE INSEGURIDAD ALIMENTARIA Y RESULTADOS QUIRRGICOS ENTRE PACIENTES SOMETIDOS A CIRUGA DE CNCER COLORRECTAL

ANTECEDENTES:La inseguridad alimentaria predispone a las personas a una nutrición subóptima, lo que conduce a enfermedades crónicas y malos resultados.OBJETIVO:Intentamos evaluar el impacto de la inseguridad alimentaria a nivel de condado en resultados de la cirugía colorrectal.DISEÑO:Estudio de cohorte retrospectivo.ENTORNO CLINICO:La base de datos SEER-Medicare fusionada con la inseguridad alimentaria a nivel de condado obtenida del informe Feeding America: Mapping the Meal Gap. Para evaluar los resultados se implementaron regresiones logísticas múltiples y de Cox ajustadas según las covariables a nivel de paciente.PACIENTES:Beneficiarios de Medicare diagnosticados con cáncer colorrectal entre 2010 y 2015.PRINCIPALES MEDIDAS DE RESULTADO:Tipo de ingreso quirúrgico (ingreso no electivo y electivo), cualquier complicación, duración prolongada de la estancia hospitalaria, disposición del alta (alta al domicilio y alta no domiciliaria), reingreso a los 90 días, mortalidad a los 90 días y resultado del libro de texto. El resultado de los libros de texto se definió como ausencia de estancia hospitalaria prolongada, complicaciones postoperatorias, reingreso a los 90 días y mortalidad a los 90 días.RESULTADOS:Entre 72.354 pacientes con cáncer colorrectal, 46.296 se sometieron a resección. Dentro de la cohorte quirúrgica, 9.091 (19,3%) tenían inseguridad alimentaria baja, 27.716 (59,9%) eran moderadas y 9.489 (20,5%) tenían inseguridad alimentaria alta. Los pacientes con alta inseguridad alimentaria tuvieron mayores probabilidades de cirugía no electiva (OR: 1,17, IC 95%: 1,09-1,26, p <0,001), reingreso a los 90 días (OR: 1,11, IC95%: 1,04-1,19, p = 0,002), duración prolongada de la estancia hospitalaria (OR: 1,32; IC95%: 1,21-1,44, p < 0,001) y complicaciones (OR: 1,11; IC95%: 1,03-1,19, p = 0,002). Los pacientes con alta inseguridad alimentaria también tuvieron menores probabilidades de ser dados de alta a domicilio (OR: 0,85, IC del 95%: 0,79-0,91, p <0,001) y resultados de los libros de texto (OR: 0,81, IC del 95%: 0,75-0,87, p <0,001). Los pacientes minoritarios con alta inseguridad alimentaria tuvieron mayores probabilidades de complicaciones (OR 1,59, IC 95%, 1,43-1,78) y duración prolongada de la estadía (OR 1,89, IC 95%, 1,69-2,12) en comparación con los individuos blancos con baja inseguridad alimentaria (todos, p < 0,001). En particular, los pacientes minoritarios con alta inseguridad alimentaria tenían un 31% menos de probabilidades de obtener resultados según los libros de texto (OR: 0,69, IC del 95%, 0,62-0,76, p <0,001) en comparación con los pacientes blancos con baja inseguridad alimentaria ( p <0,001).LIMITACIONES:Limitado a beneficiarios de Medicare mayores de 65 años, por lo tanto, puede no ser generalizable a poblaciones más jóvenes o a aquellos sin seguro o con seguro privado.CONCLUSIONES:La inseguridad alimentaria a nivel de condado se asoció con resultados subóptimos, lo que demuestra la importancia de las intervenciones para mitigar estas desigualdades. (Dr. Francisco M. Abarca-Rendon ).

Breast Cancer Disparity and Outcomes in Underserved Women

Women in the United States who continue to face obstacles accessing health care are frequently termed an underserved population. Safety-net health care systems play a crucial role in mitigating health disparities and reducing burdens of disease, such as breast cancer, for underserved women. Disparities in health care are driven by various factors, including race and ethnicity, as well as socioeconomic factors that affect education, employment, housing, insurance status, and access to health care. Underserved women are more likely to be uninsured or underinsured throughout their lifetimes. Hence they have greater difficulty gaining access to breast cancer screening and are less likely to undergo supplemental imaging when needed. Therefore, underserved women often experience significant delays in the diagnosis and treatment of breast cancer, leading to higher mortality rates. Addressing disparities requires a multifaceted approach, with formal care coordination to help at-risk women navigate through screening, diagnosis, and treatment. Mobile mammography units and community outreach programs can be leveraged to increase community access and engagement, as well as improve health literacy with educational initiatives. Radiology-community partnerships, comprised of imaging practices partnered with local businesses, faith-based organizations, homeless shelters, and public service departments, are essential to establish culturally competent breast imaging care, with the goal of equitable access to early diagnosis and contemporary treatment. Published under a CC BY 4.0 license. Test Your Knowledge questions are available in the Online Learning Center. See the invited commentary by Leung in this issue.

Outcomes of patients in rural communities undergoing autologous breast reconstruction: A comparison of cost and patient demographics with implications for rural health policy

BACKGROUND

Patients with breast cancer living in rural areas are less likely to undergo breast reconstruction. Further, given the additional training and resources required for autologous reconstruction, it is likely that rural patients face barriers to accessing these surgical options. Therefore, the purpose of this study is to determine if there are disparities in autologous breast reconstruction care among rural patients on the national level.

METHODS

The Healthcare Cost and Utilization Project Nationwide Inpatient Sample Database was queried from 2012 to 2019 using ICD9/10 codes for breast cancer diagnoses and autologous breast reconstruction. The resulting data set was analyzed for patient, hospital, and complication-specific information with counties comprised of less than 10,000 inhabitants classified as rural.

RESULTS

From 2012 to 2019, 89,700 weighted encounters for autologous breast reconstruction involved patients who lived in non-rural areas, while 3605 involved patients from rural counties. The majority of rural patients underwent reconstruction at urban teaching hospitals. However, rural patients were more likely than non-rural patients to have their surgery at a rural hospital (6.8% vs. 0.7%). Rural-county residing patients had lower odds of receiving a deep inferior epigastric perforator (DIEP) flap compared to non-rural-county residing patients (OR 0.51 CI: 0.48-0.55, p < .0001). Further, rural patients were more likely to experience infection and wound disruption than urban patients (p < .05), regardless of where they underwent surgery. Complication rates were similar among rural patients who received care at rural hospitals versus urban hospitals (p > .05). Meanwhile, the cost of autologous breast reconstruction was higher (p = .011) for rural patients at an urban hospital ($30,066.2, SD19,965.5) than at a rural hospital ($25,049.5, SD12,397.2).

CONCLUSION

Patients living in rural areas face disparities in health care, including lower odds of being potentially offered gold-standard breast reconstruction treatments. Increased microsurgical option availability and patient education in rural areas may help alleviate current disparities in breast reconstruction.

Effect of rurality and travel distance on contralateral prophylactic mastectomy for unilateral breast cancer

PURPOSE

Despite lack of survival benefit, demand for contralateral prophylactic mastectomy (CPM) to treat unilateral breast cancer remains high. High uptake of CPM has been demonstrated in Midwestern rural women. Greater travel distance for surgical treatment is associated with CPM. Our objective was to examine the relationship between rurality and travel distance to surgery with CPM.

METHODS

Women diagnosed with stages I-III unilateral breast cancer between 2007 and 2017 were identified using the National Cancer Database. Logistic regression was used to model likelihood of CPM based on rurality, proximity to metropolitan centers, and travel distance. A multinomial logistic regression model compared factors associated with CPM with reconstruction versus other surgical options.

RESULTS

Both rurality (OR 1.10, 95% CI 1.06-1.15 for non-metro/rural vs. metro) and travel distance (OR 1.37, 95% CI 1.33-1.41 for those who traveled 50 + miles vs. < 30 miles) were independently associated with CPM. For women who traveled 30 + miles, odds of receiving CPM were highest for non-metro/rural women (OR 1.33 for 30-49 miles, OR 1.57 for 50 + miles; reference: metro women traveling < 30 miles). Non-metro/rural women who received reconstruction were more likely to undergo CPM regardless of travel distance (ORs 1.11-1.21). Both metro and metro-adjacent women who received reconstruction were more likely to undergo CPM only if they traveled 30 + miles (ORs 1.24-1.30).

CONCLUSION

The impact of travel distance on likelihood of CPM varies by patient rurality and receipt of reconstruction. Further research is needed to understand how patient residence, travel burden, and geographic access to comprehensive cancer care services, including reconstruction, influence patient decisions regarding surgery.

Impact of rural residence on the presentation, management and survival of patients with non-metastatic muscle-invasive bladder carcinoma

PURPOSE

To assess the impact of rural and remote residence on the receipt of guidelines-recommended treatment, quality of treatment and overall survival (OS) in patients with non-metastatic muscle-invasive bladder cancer (MIBC).

MATERIALS AND METHODS

Patients with MIBC were identified using National Cancer Database. Patients were classified into three residential areas. Logistic regression models were used to assess associations between geographic residence and receipt of radical cystectomy (RC) or chemoradiation therapy (CRT). Models were fitted to assess quality benchmarks of RC and CRT.

RESULTS

We identified 71,395 patients. Of those 58,874 (82.5%) were living in Metro areas, 8,534 (11.9%) in urban-rural adjacent (URA), and 3,987 (5.6%) in urban-rural remote to metro area (URR). URR residence was significantly associated with poor OS compared to URA and Metro residence (HR 0.87, 95% CI 0.81-0.94 and HR 0.90, 95% CI 0.87-0.93, p<0.001). There was no difference in the likelihood of receiving RC and CRT among different residential areas. Among patients who underwent RC; individuals living in URR were less likely to receive neoadjuvant chemotherapy and adequate lymph node dissection, and had a higher probability of positive surgical margin than those living in metro areas. For those who received CRT; individuals living in Metro areas were more likely to receive concomitant systemic therapy compared to URR.

CONCLUSIONS

Rural residence is associated with lower OS for MIBC patients and less likelihood of meeting quality benchmarks for RC and CRT. This data should be used to guide further health policy and allocation of resources for rural population.

Disparities in geospatial patterns of cancer care within urban counties and structural inequities in access to oncology care

OBJECTIVE

To examine geospatial patterns of cancer care utilization across diverse populations in New Jersey-a state where most residents live in urban areas.

DATA SOURCES/STUDY SETTING

We used data from the New Jersey State Cancer Registry from 2012 to 2014.

STUDY DESIGN

We examined the location of cancer treatment among patients 20-65 years of age diagnosed with breast, colorectal, or invasive cervical cancer and investigated differences in geospatial patterns of care by individual and area-level (e.g., census tract-level) characteristics.

DATA COLLECTION/EXTRACTION METHODS

Multivariate generalized estimating equation models were used to determine factors associated with receiving cancer treatment within residential counties, residential hospital service areas, and in-state (versus out-of-state) care.

PRINCIPAL FINDINGS

We observed significant differences in geospatial patterns of cancer treatment by race/ethnicity, insurance type, and area-level factors. Even after adjusting for tumor characteristics, insurance type, and other demographic factors, non-Hispanic Black patients had a 5.6% higher likelihood of receiving care within their own residential county compared to non-Hispanic White patients (95% CI: 2.80-8.41). Patients insured with Medicaid and those without insurance had higher likelihoods of receiving care within their residential county compared to privately insured individuals. Patients living in census tracts with the highest quintile of social vulnerability were 4.6% more likely to receive treatment within their residential county (95% CI: 0.00-9.30) and were 2.7% less likely to seek out-of-state care (95% CI: -4.85 to -0.61).

CONCLUSIONS

Urban populations are not homogenous in their geospatial patterns of cancer care utilization, and individuals living in areas with greater social vulnerability may have limited opportunities to access care outside of their immediate residential county. Geographically tailored efforts, along with socioculturally tailored efforts, are needed to help improve equity in cancer care access.

Aging in Rural Communities

Purpose of Review

Population aging is occurring worldwide, particularly in developed countries such as the United States (US). However, in the US, the population is aging more rapidly in rural areas than in urban areas. Healthy aging in rural areas presents unique challenges. Understanding and addressing those challenges is essential to ensure healthy aging and promote health equity across the lifespan and all geographies. This review aims to present findings and evaluate recent literature (2019-2022) on rural aging and highlight future directions and opportunities to improve population health in rural communities.

Recent Findings

The review first addresses several methodological considerations in measuring rurality, including the choice of measure used, the composition of each measure, and the limitations and drawbacks of each measure. Next, the review considers important concepts and context when describing what it means to be rural, including social, cultural, economic, and environmental conditions. The review assesses several key epidemiologic studies addressing rural-urban differences in population health among older adults. Health and social services in rural areas are then discussed in the context of healthy aging in rural areas. Racial and ethnic minorities, indigenous peoples, and informal caregivers are considered as special populations in the discussion of rural older adults and healthy aging. Lastly, the review provides evidence to support critical longitudinal, place-based research to promote healthy aging across the rural-urban divide is highlighted.

Summary

Policies, programs, and interventions to reduce rural-urban differences in population health and to promote health equity and healthy aging necessitate a context-specific approach. Considering the cultural context and root causes of rural-urban differences in population health and healthy aging is essential to support the real-world effectiveness of such programs, policies, and interventions.

Exploring the intersectionality of race/ethnicity with rurality on breast cancer outcomes: SEER analysis, 2000-2016

PURPOSE

Disparities in breast cancer survival have been observed within marginalized racial/ethnic groups and within the rural-urban continuum for decades. We examined whether there were differences among the intersectionality of race/ethnicity and rural residence on breast cancer outcomes.

METHODS

We performed a retrospective analysis among 739,448 breast cancer patients using Surveillance Epidemiology and End Results (SEER) 18 registries years 2000 through 2016. We conducted multilevel logistic-regression and Cox proportional hazards models to estimate adjusted odds ratios (AORs) and hazard ratios (AHRs), respectively, for breast cancer outcomes including surgical treatment, radiation therapy, chemotherapy, late-stage disease, and risk of breast cancer death. Rural was defined as 2013 Rural-Urban Continuum Codes (RUCC) of 4 or greater.

RESULTS

Compared with non-Hispanic white-urban (NH-white-U) women, NH-black-U, NH-black-rural (R), Hispanic-U, and Hispanic-R women, respectively, were at increased odds of no receipt of surgical treatment (NH-black-U, AOR = 1.98, 95% CI 1.91-2.05; NH-black-R, AOR = 1.72, 95% CI 1.52-1.94; Hispanic-U, AOR = 1.58, 95% CI 1.52-1.65; and Hispanic-R, AOR = 1.40, 95% CI 1.18-1.67), late-stage diagnosis (NH-black-U, AOR = 1.32, 95% CI 1.29-1.34; NH-black-R, AOR = 1.29, 95% CI 1.22-1.36; Hispanic-U, AOR = 1.25, 95% CI 1.23-1.27; and Hispanic-R, AOR = 1.17, 95% CI 1.08-1.27), and increased risks for breast cancer death (NH-black-U, AHR = 1.46, 95% CI 1.43-1.50; NH-black-R, AHR = 1.42, 95% CI 1.32-1.53; and Hispanic-U, AHR = 1.10, 95% CI 1.07-1.13).

CONCLUSION

Regardless of rurality, NH-black and Hispanic women had significantly increased odds of late-stage diagnosis, no receipt of treatment, and risk of breast cancer death.

Rural-Urban Differences in Breast Cancer Surgical Delays in Medicare Beneficiaries

BACKGROUND

Delays between breast cancer diagnosis and surgery are associated with worsened survival. Delays are more common in urban-residing patients, although factors specific to surgical delays among rural and urban patients are not well understood.

METHODS

We used a 100% sample of fee-for-service Medicare claims during 2007-2014 to identify 238,491 women diagnosed with early-stage breast cancer undergoing initial surgery and assessed whether they experienced biopsy-to-surgery intervals > 90 days. We employed multilevel regression to identify associations between delays and patient, regional, and surgeon characteristics, both in combined analyses and stratified by rurality of patient residence.

RESULTS

Delays were more prevalent among urban patients (2.5%) than rural patients (1.9%). Rural patients with medium- or high-volume surgeons had lower odds of delay than patients with low-volume surgeons (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.58-0.88; OR = 0.74, 95% CI = 0.61-0.90). Rural patients whose surgeon operated at ≥ 3 hospitals were more likely to experience delays (OR = 1.29, 95% CI = 1.01-1.64, Ref: 1 hospital). Patient driving times ≥ 1 h were associated with delays among urban patients only. Age, black race, Hispanic ethnicity, multimorbidity, and academic/specialty hospital status were associated with delays.

CONCLUSIONS

Sociodemographic, geographic, surgeon, and facility factors have distinct associations with > 90-day delays to initial breast cancer surgery. Interventions to improve timeliness of breast cancer surgery may have disparate impacts on vulnerable populations by rural-urban status.

Utilization and costs of epidermal growth factor receptor mutation testing and targeted therapy in Medicare patients with metastatic lung adenocarcinoma

Background

Guidelines in 2013 and 2014 recommended Epidermal Growth Factor Receptor (EGFR) testing for metastatic lung adenocarcinoma patients as the efficacy of targeted therapies depends on the mutations. However, adherence to these guidelines and the corresponding costs have not been well-studied.

Methods

We identified 2362 patients at least 65 years old newly diagnosed with metastatic lung adenocarcinoma from January 2013 to December 2015 using the SEER-Medicare database. We examined the utilization patterns of EGFR testing and targeted therapies including erlotinib and afatinib. We further examined the costs of both EGFR testing and targeted therapy in terms of Medicare costs and patient out-of-pocket (OOP) costs.

Results

The EGFR testing rate increased from 38% in 2013 to 51% and 49% in 2014 and 2015 respectively. The testing rate was 54% among the 394 patients who received erlotinib, and 52% among the 42 patients who received afatinib. The median Medicare and OOP costs for testing were $1483 and $293. In contrast, the costs for targeted therapy were substantially higher with median 30-day costs at $6114 and $240 for erlotinib and $6239 and $471 for afatinib.

Conclusion

This population-based study suggests that testing guidelines improved the use of EGFR testing, although there was still a large proportion of patients receiving targeted therapy without testing. The costs of targeted therapy were substantially higher than the testing costs, highlighting the need to improve adherence to testing guidelines in order to improve clinical outcomes while reducing the economic burden for both Medicare and patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07857-y.

The Impact of Commission on Cancer Accreditation Status, Hospital Rurality and Hospital Size on Quality Measure Performance Rates

BACKGROUND

Rural cancer patients receive lower-quality care and experience worse outcomes than urban patients. Commission on Cancer (CoC) accreditation requires hospitals to monitor performance on evidence-based quality measuresPlease confirm the list of authors is correc, but the impact of accreditation is not clear due to lack of data from non-accredited facilities and confounding between patient rurality and hospital accreditation, rurality, and size.

METHODS

This retrospective, observational study assessed associations between rurality, accreditation, size, and performance rates for four CoC quality measures (breast radiation, breast chemotherapy, colon chemotherapy, colon nodal yield). Iowa Cancer Registry data were queried to identify all eligible patients diagnosed between 2011 and 2017. Cases were assigned to the surgery hospital to calculate performance rates. Univariate and multivariate regression models were fitted to identify patient- and hospital-level predictors and assess trends.

RESULTS

The study cohort included 10,381 patients; 46% were rural. Compared with urban patients, rural patients more often received treatment at small, rural, and non-accredited facilities (p < 0.001 for all). Rural hospitals had fewer beds and were far less likely to be CoC-accredited than urban hospitals (p < 0.001 for all). On multivariate analysis, CoC accreditation was the strongest, independent predictor of higher hospital performance for all quality measures evaluated (p < 0.05 in each model). Performance rates significantly improved over time only for the colon nodal yield quality measure, and only in urban hospitals.

CONCLUSIONS

CoC accreditation requires monitoring and evaluating performance on quality measures, which likely contributes to better performance on these measures. Efforts to support rural hospital accreditation may improve existing disparities in rural cancer treatment and outcomes.

Racial and socioeconomic disparities in breast cancer diagnosis and mortality in Pennsylvania

PURPOSE

Many studies have demonstrated disparities in breast cancer (BC) incidence and mortality among Black women. We hypothesized that in Pennsylvania (PA), a large economically diverse state, BC diagnosis and mortality would be similar among races when stratified by a municipality's median income.

METHODS

We collected the frequencies of BC diagnosis and mortality for years 2011-2015 from the Pennsylvania Cancer Registry and demographics from the 2010 US Census. We analyzed BC diagnoses and mortalities after stratifying by median income, municipality size, and race with univariable and multivariable logistic regression models.

RESULTS

In this cohort, of 5,353,875 women there were 54,038 BC diagnoses (1.01% diagnosis rate) and 9,828 BC mortalities (0.18% mortality rate). Unadjusted diagnosis rate was highest among white women (1.06%) but Black women had a higher age-adjusted diagnosis rate (1.06%) than white women (1.02%). Race, age and income were all significantly associated with BC diagnosis, but there were no differences in BC diagnosis between white and Black women across all levels of income in the multivariable model. BC mortality was highest in Black women, a difference which persisted when adjusted for age. Black women 35 years and older had a higher mortality rate in all income quartiles.

CONCLUSION

We found that in PA, age, race and income are all associated with BC diagnosis and mortality with noteworthy disparities for Black women. Continued surveillance of differences in both breast cancer diagnosis and mortality, and targeted interventions related to education, screening and treatment may help to eliminate these socioeconomic and racial disparities.

The association between rurality, sociodemographic characteristics, and mammogram screening outcomes among a sample of low-income uninsured women

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Rurality has been shown to negatively impact breast cancer screening rates.

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We observed mammography outcomes within a sample of low-income uninsured women.

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We found that outcomes were independent of sociodemographic factors, like rurality.

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More research should explore whether this relationship is mediated by other factors.

Studies have found a positive association between adherence to mammography screening guidelines and early detection of breast cancer lesions, yet the proportion of women who get screened for breast cancer remains below national targets. Previous studies have found that mammography screening rates vary by sociodemographic factors including race/ethnicity, income, education, and rurality. It is less known whether sociodemographic factors are also related to mammography screening outcomes in underserved populations. Thus, with a particular interest in rurality, we examined the association between the sociodemographic characteristics and mammography screening outcomes within our sample of 1,419 low-income, uninsured Texas women who received grant-funded mammograms between 2013 and 2019 (n = 1,419). Screening outcomes were recorded as either negative (Breast Imaging Reporting and Data System (BI-RADS) classification 1–3) or positive (BI-RADS classification 4–6). When we conducted independency tests between sociodemographic characteristics (age, race/ethnicity, rurality, county-level risk, family history, and screening compliance) and screening outcomes, we found that none of the factors were significantly associated with mammogram screening outcomes. Similarly, when we regressed screening outcomes on age, race/ethnicity, and rurality via logistic regression, we found that none were significant predictors of a positive screening outcome. Though we did not find evidence of a relationship between rurality and mammography screening outcomes, research suggests that among women who do screen positive for breast cancer, rural women are more likely to present with later stage breast cancer than urban women. Thus, it remains important to continue to increase breast cancer education and access to routine cancer screening for rural women.

Breast Cancer Disparities and the Impact of Geography

Neighborhood has significant implications for breast cancer screening, stage, treatment, and mortality. Patients residing in neighborhoods with high deprivation or rurality face barriers and challenges to accessing and receiving care. Consequently, they experience higher mortality rates than their financially affluent or urban counterparts. There are multiple gaps in the literature on the relationship between place of residence and the use of systemic therapies or emerging surgical strategies for disease management. As the management of breast cancer continues to evolve, additional studies are needed to understand the implications of place on the implementation and dissemination of new and emerging treatment modalities.

Identifying key barriers to effective breast cancer control in rural settings

Breast cancer is the most common cancer and the second most common cause of cancer mortality among women in the United States. Efforts to promote breast cancer control in rural settings face specific challenges. Access to breast cancer screening, diagnosis, and treatment services is impaired by shortages of primary care and specialist providers, and geographic distance from medical facilities. Women in rural areas have comparable breast cancer mortality rates compared to women in urban settings, but this is due in large part to lower incidence rates and masks a substantial rural/urban disparity in breast cancer survival among women diagnosed with breast cancer. Mammography screening utilization rates are slightly lower among rural women than their urban counterparts, with a corresponding increase in late stage breast cancer. Differences in breast cancer survival persist after controlling for stage at diagnosis, largely due to disparities in access to treatment. Travel distance to treatment centers is the most substantial barrier to improved breast cancer outcomes in rural areas. While numerous interventions have been demonstrated in controlled studies to be effective in promoting treatment access and adherence, widespread dissemination in public health and clinical practice remains lacking. Efforts to improve breast cancer control in rural areas should focus on implementation strategies for improving access to breast cancer treatments.

Changing Patterns in Clinicopathological Characteristics of Breast Cancer and Prevalence of BRCA Mutations: Analysis in a Rural Area of Southern China

PURPOSE

Although the burden of breast cancer remains especially high in rural China, data on the clinicopathological characteristics and prevalence of the breast cancer susceptibility gene 1/2 (BRCA1/2) mutations in patients with breast cancer remain limited. We investigated the clinicopathological characteristics, changing patterns, and prevalence of BRCA1/2 mutations in patients with breast cancer.

PATIENTS AND METHODS

The clinicopathological characteristics of 3712 women with pathologically confirmed primary breast cancer treated at Meizhou People's Hospital between January 2005 and December 2018 were evaluated. The prevalence of BRCA1/2 mutations in 340 patients with breast cancer diagnosed between January 2017 and September 2018 was also evaluated.

RESULTS

The median age at diagnosis was 49±10.5 (range, 20-94) years. Positivity for estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) was observed in 59.0%, 52.5%, and 24.9% of patients, respectively. Time trend analysis revealed that an increasing trend was observed for age at diagnosis (p = 0.001), proportion of patients without a reproductive history (p < 0.001), postmenopausal patients (p = 0.001), invasive pathological cancer type (p = 0.008), ER-positive rate (p < 0.001), PR-positive rate (p = 0.008), and HER2-positive rate (p < 0.001). Compared with patients without BRCA1/2 mutations, those with BRCA1/2 mutations were more likely to have a family history of breast or ovarian cancer (p < 0.001) and have triple-negative breast cancer (TNBC) (p < 0.001). Family history of breast or ovarian cancer (odds ratio [OR], 103.58; 95% confidence interval [CI], 20.58-521.45; p < 0.001) and TNBC subtype (OR, 5.97; 95% CI, 1.16-30.90; p = 0.033) were independent predictors for BRCA1/2 mutation.

CONCLUSION

The clinicopathological characteristics of patients with breast cancer in this rural area have changed during the past decade. BRCA1/2 testing should be performed in patients with breast cancer with a family history of breast or ovarian cancer and TNBC.

Association of Community Economic Distress and Breast and Colorectal Cancer Screening, Incidence, and Mortality Rates Among US Counties

INTRODUCTION

Not all Americans may benefit equally from current improvements in breast and colorectal cancer screening and mortality rates.

METHODS

We performed a cross-sectional retrospective review of county-level screening, incidence, and mortality rates for breast and colon cancer utilizing three publicly available data sources from the Centers for Disease Control and Prevention (CDC), and their association with the Distressed Communities Index (DCI), a measure of local economic prosperity across communities.

RESULTS

After controlling for other factors, DCI was associated with county-level screening, incidence, and death rates per 100,000 for breast and colorectal cancer. There was an absolute increase of 0.77 (95% confidence interval [CI] 0.67-0.85, p < 0.001) in the proportion of women aged 40 years or older who had a screening mammogram for every 10-point decrease in DCI, which in turn correlated with an increase in the age-adjusted incidence by 1.68 per 100,000 (95% CI 1.37-2.00, p < 0.001). While the age-adjusted death rate for breast cancer was highest in the most distressed communities, the overall incidence of age-adjusted death decreased by 0.28 per 100,000 (95% CI -0.37 to -0.19, p < 0.001) with every 10-point decrease in DCI. For colorectal cancer, every 10-point decrease in DCI was similarly associated with an absolute 0.60 (95% CI 0.52-0.69, p < 0.001) increase in the proportion of individuals who had screening endoscopy. Increased colorectal screening in low-DCI counties was associated with a lower age-adjusted incidence rate (-0.80 per 100,000; 95% CI -0.94 to -0.65) and age-adjusted death rate (-0.55 per 100,000; 95% CI -0.62 to -0.49) of colorectal cancer per every 10-point decrease in DCI (p < 0.001).

CONCLUSION

The association of county-level socioeconomic and healthcare factors with breast and colorectal cancer outcomes was notable, with level of community distress impacting cancer screening, incidence, and mortality rates.

Literature Review: Social Determinant of Health in Breast Cancer Patients Survival

BACKGROUND: Social determinants have an important role in the survival of breast cancer patients. AIM: This article aims to reviews the social determinants that affect the survival of breast cancer patient. METHODS: We searched PubMed and Google Scholar for identifying studies related to this review using free-text terms and Medical Subject Headings terms. Both experimental and observational studies on social determinants of breast cancer patient survival which were published in the English language have been included in this review except expert opinions, commentaries, editorials, and review articles. Ten studies were eligible to be included in review. RESULTS: Social health determinants that play a role in the survival of breast cancer patients are education level, place of residence, socioeconomic status, social environment, racial discrimination, and access to health services. CONCLUSION: Social determinants have an influence on the survival of breast cancer patients, so it is important to pay attention to these factors.

Disparities in Surgical Oncology: Management of Advanced Cancer

Significant variations in the patterns of care, incidence, and mortality rates of several common cancers have been noted. These disparities have been attributed to a complex interplay of factors, including genetic, environmental, and healthcare-related components. Within this review, primarily focusing on commonly occurring cancers (breast, lung, colorectal), we initially summarize the burden of these disparities with regard to incidence and screening patterns. We then explore the interaction between several proven genetic, epigenetic, and environmental influences that are known to contribute to these disparities.

Evaluation of Racial/Ethnic Differences in Treatment and Mortality Among Women With Triple-Negative Breast Cancer

Importance

To our knowledge, there is no consensus regarding differences in treatment and mortality between non-Hispanic African American and non-Hispanic White women with triple-negative breast cancer (TNBC). Little is known about whether racial disparities vary by sociodemographic, clinical, and neighborhood factors.

Objective

To examine the differences in clinical treatment and outcomes between African American and White women in a nationally representative cohort of patients with TNBC and further examine the contributions of sociodemographic, clinical, and neighborhood factors to TNBC outcome disparities.

Design, Setting, and Participants

This population-based, retrospective cohort study included 23 123 women who received a diagnosis of nonmetastatic TNBC between January 1, 2010, and December 31, 2015, followed up through December 31, 2016, and identified from the Surveillance, Epidemiology, and End Results data set. The study was conducted from July 2019 to November 2020. The analyses were performed from July 2019 to June 2020.

Exposures

Race and ethnicity, including non-Hispanic African American and non-Hispanic White race.

Main Outcomes and Measures

Using logistic regression analysis and competing risk regression analysis, we estimated odds ratios (ORs) of receipt of treatment and hazard ratios (HRs) of breast cancer mortality in African American patients compared with White patients.

Results

Of 23 213 participants, 5881 (25.3%) were African American women and 17 332 (74.7%) were White women. Compared with White patients, African American patients had lower odds of receiving surgery (OR, 0.69; 95% CI, 0.60-0.79) and chemotherapy (OR, 0.89; 95% CI, 0.81-0.99) after adjustment for sociodemographic, clinicopathologic, and county-level factors. During a 43-month follow-up, 3276 patients (14.2%) died of breast cancer. The HR of breast cancer mortality was 1.28 (95% CI, 1.18-1.38) for African American individuals after adjustment for sociodemographic and county-level factors. Further adjustment for clinicopathological and treatment factors reduced the HR to 1.16 (95% CI, 1.06-1.25). This association was observed in patients living in socioeconomically less deprived counties (HR, 1.26; 95% CI, 1.14-1.39), urban patients (HR, 1.21; 95% CI, 1.11-1.32), patients having stage II (HR, 1.19; 95% CI, 1.02-1.39) or III (HR, 1.15; 95% CI, 1.01-1.31) tumors that were treated with chemotherapy, and patients younger than 65 years (HR, 1.24; 95% CI, 1.12-1.37).

Conclusions and Relevance

In this retrospective cohort study, African American women with nonmetastatic TNBC had a significantly higher risk of breast cancer mortality compared with their White counterparts, which was partially explained by their disparities in receipt of surgery and chemotherapy.

MYLK and PTGS1 Genetic Variations Associated with Osteoporosis and Benign Breast Tumors in Korean Women

Osteoporosis, characterized by reduced bone mass and increased bone fragility, is a disease prevalent in women. Likewise, breast cancer is a multifactorial disease and considered the major cause of mortality in premenopausal and postmenopausal women worldwide. Our data demonstrated the association of the MYLK gene and PTGS1 gene variants with osteoporosis and benign breast tumor risk and the impact of ovariectomy on osteoporosis in Korean women. We performed a genome-wide association study (GWAS) of women with osteoporosis and benign breast tumors. There were 60 single nucleotide polymorphisms (SNPs) and 12 SNPs in the MYLK and PTGS1 genes, associated with benign breast tumors and osteoporosis. Our study showed that women with homozygous MYLK rs12163585 major alleles had an increased risk of osteoporosis following ovariectomy compared to those with minor alleles. Women carrying the minor PTGS1 rs1213265 allele and not treated via ovariectomy carried a higher risk of osteoporosis than those who underwent ovariectomy with a homozygous genotype at the major alleles. Our results suggest that both the MYLK and PTGS1 genes are genetic factors associated with the phenotypes, and these associations appear to be modulated by ovariectomy.

Impact of age, rurality and distance in predicting contralateral prophylactic mastectomy for breast cancer in a Midwestern state: a population-based study

PURPOSE

Iowa is among several rural Midwestern states with the highest proportions of contralateral prophylactic mastectomy (CPM) in women < 45 years of age. We evaluated the role of rurality and travel distance in these surgical patterns.

METHODS

Women with unilateral breast cancer (2007-2017) were identified using Iowa Cancer Registry records. Patients and treating hospitals were classified as metro, nonmetro, and rural based on Rural-Urban Continuum Codes. Differences in patient, tumor, and treatment characteristics and median travel distance (MTD) were compared. Characteristics associated with CPM were evaluated with multivariate logistic regression.

RESULTS

22,158 women were identified: 57% metro, 26% nonmetro and 18% rural. Young rural women had the highest proportion of CPM (52%, 39% and 40% for rural, metro, nonmetro women < 40 years). Half of all rural women had surgery at metro hospitals; these women had the longest MTD (62 miles). Among all women treated at metro hospitals, rural women had the highest proportion of CPM (17% rural vs 14% metro/nonmetro, p = 0.007). On multivariate analysis, traveling ≥ 50 miles (ORs 1.43-2.34) and rural residence (OR = 1.29) were independently predictive of CPM. Other risk factors were young age (< 40 years: OR = 7.28, 95% CI 5.97-8.88) and surgery at a metro hospital that offers reconstruction (OR = 2.30, 95% CI 1.65-3.21) and is not NCI-designated (OR = 2.34, 95% CI 1.92-2.86).

CONCLUSION

There is an unexpectedly high proportion of CPM in young rural women in Iowa, and travel distance and availability of reconstructive services likely influence decision-making. Improving access to multidisciplinary care in rural states may help optimize decision-making.