Rural-Urban Disparities in Stage of Diagnosis Among Cancers With Preventive Opportunities

Rural Cancer Disparities: Understanding Implications for Breast and Cervical Cancer Diagnoses

BACKGROUND

Rural populations experience several disparities, influenced by structural-, community-, and individual-level barriers, across the breast and cervical cancer continuum.

OBJECTIVES

This study seeks to identify structural-, community-, and individual-level barriers that affect rural populations across the cancer continuum, understand the role of nurses serving rural populations in breast and cervical cancer screening and diagnostics, and provide recommendations for working with rural patients.

METHODS

This is a secondary analysis of qualitative interviews conducted with public health nurses serving rural populations.

FINDINGS

Emergent themes indicate that rural populations experience barriers that affect disparities across the breast and cervical cancer continuum, including a changing healthcare landscape, access to cancer-focused care, access to insurance, collective poverty, and demographic factors. Nurses working with rural communities can address these disparities as they fulfill multiple roles and responsibilities.

Geographic remoteness from a multidisciplinary team is associated with an increased clinical staging of head and neck cancer: a Newcastle (Australia) study

The purpose of this study was to investigate the relationship between a patient's residential distance from a tertiary referral regional multidisciplinary team (MDT) and the clinical staging of their head and neck cancer (HNC) at presentation. A retrospective cohort study was performed of all attendees with HNC who had undergone an MDT assessment. The period of study was January 2016 to January 2017. The primary predictor variable was the patient's residential distance from the MDT. Demographic and clinicopathological factors were recorded. The primary outcome variable was the clinical staging conferred by the MDT. Descriptive and ordinal logistical regression analyses were conducted to examine the data. There were 286 observations; 230 patients were male and 56 were female. The mean age of the cohort was 66.52 years. The average residential distance from the MDT was 68.16 km. Regression analysis, while not statistically significant, indicated that those living more than 100 km (range 102-592 km) from the MDT had a 1.49 times increased risk of being diagnosed with an advanced stage of cancer when compared to those living less than 100 km away. This study provides insights into the potential adverse effect geographic remoteness has on initial staging of HNC and the need for further strategies to serve this at-risk population.

A review of top performing rural community and critical access hospitals' web resources for transgender patients in the United States

OBJECTIVE

This cross-sectional study examined the prevalence of "LGBT" and "transgender" terminology and type of resources available to transgender patients on the websites of top performing rural/community hospitals and critical access hospitals in the U.S. The effect of hospital control (e.g. type of operating parent organization) on the presence of transgender resources on these websites was also evaluated.

METHODS

The rural and critical access hospitals selected for inclusion in this study were those published on the Chartis Group's 2020 "top performing" hospital lists. Each hospital website was reviewed for the presence of "transgender" and "LGBT" terminology, as well several control terms commonly found on hospital websites.

RESULTS

Findings suggest a lack of resources for sexual and gender minorities among rural community and critical access hospitals within this sample; the term "transgender" appeared on 26% of rural community hospitals and 21% of critical access hospitals (N = 200). There was no significant relationship between hospital classification and the type of transgender resources offered by the hospitals (p = 0.248). There was a significant relationship between hospital control and presence of the term "transgender" on the websites of critical access hospitals (p = 0.002, Fisher's Exact Test).

CONCLUSIONS

Few facilities provided links to external resources for transgender patients, advertised LGBT-friendly providers, or provided any information pertaining to gender-affirming healthcare. Additional research is needed to determine what barriers or social forces prevent these hospitals from using their websites to create a more inclusive environment for transgender patients within the communities they serve.

Rural residence is related to shorter survival in epithelial ovarian cancer patients

OBJECTIVE

Rural residence has been related to health disparities and greater mortality risk in cancer patients, including gynecologic cancer patients. Lower survival rates for rural cancer survivors have been attributed to limited access to specialized healthcare, including surgery. Here, we examined whether a rural/urban survival gap existed in ovarian cancer patients receiving surgery at tertiary-care facilities, and potential causes for this gap, including educational attainment.

METHODS

Rural and urban patients with high grade invasive ovarian cancer (n = 342) seeking treatment at two midwestern tertiary-care university hospitals were recruited pre-surgery and followed until death or censoring date. Rural/urban residence was categorized using the USDA Rural-Urban Continuum Codes. Stratified Cox proportional hazards regression analyses, with clinical site as strata, adjusting for clinical and demographic covariates, were used to examine the effect of rurality on survival.

RESULTS

Despite specialized surgical care, rural cancer survivors showed a higher likelihood of death compared to their urban counterparts, HR = 1.39 (95% CI: 1.04, 1.85) p = 0.026, adjusted for covariates. A rurality by education interaction was observed (p = 0.027), indicating significantly poorer survival in rural vs. urban patients among those with trade school/some college education, adjusted HR = 2.49 (95% CI: 1.44, 4.30), p = 0.001; there was no rurality survival disparity for the other 2 levels of education.

CONCLUSIONS

Differences in ovarian cancer survival are impacted by rurality, which is moderated by educational attainment even in patients receiving initial care in tertiary settings. Clinicians should be aware of rurality and education as potential risk factors for adverse outcomes and develop approaches to address these possible risks.

Associations between geographic residence and US adolescent and young adult cancer stage and survival

BACKGROUND

Multiple studies have indicated that place of residence can influence cancer survival; however, few studies have specifically focused on geographic factors and outcomes in adolescents and young adults (AYAs) with cancer. The objective of this study was to evaluate evidence for geographic disparities in cancer diagnosis stage and overall survival in AYAs and to examine whether stage mediated survival associations.

METHODS

National Cancer Database data on AYAs aged 15 to 39 years who were diagnosed with cancer from 2010 to 2014 were obtained. Residence in Metropolitan (metro), urban, or rural counties at the time of diagnosis was defined using Rural-Urban Continuum Codes. Distance between the patient's residence and the reporting hospital was classified as short (≤2.5 miles), intermediate (>12.5 to <50 miles), or long (≥50 miles). Logistic and Cox proportional hazards regression models were used for analyses.

RESULTS

The stage and survival analyses included 146,418 and 178,688 AYAs, respectively. The odds of a late versus early stage at diagnosis (stages III and IV vs I and II) were 1.16 (95% CI, 1.05-1.29) times greater for AYAs living in rural versus metro counties and 1.20 (95% CI, 1.16-1.25) times greater for AYAs living at long versus short distances to the reporting hospital. The hazard of death was 1.17 (95% CI, 1.05-1.31) and 1.30 (95% CI, 1.25-1.36) times greater for those living in rural versus metro counties, respectively, and for long versus short distances to the reporting hospital, respectively. Disease stage mediated 54% and 31% of the associations between metro, urban, or rural residence and residential distance categories and survival.

CONCLUSIONS

Rural residence and living long distances from the reporting hospital were associated with later stage diagnoses and lower survival in AYAs with cancer. Further research is needed to understand mechanisms.

LAY SUMMARY

Adolescents and young adults (AYAs) with cancer are a vulnerable population because cancer is of low suspicion in this population and may not be diagnosed in a timely manner. The authors evaluated evidence for geographic disparities in cancer stage at diagnosis and survival in the AYA population. The findings indicate that AYAs living in rural versus metropolitan US counties and those living farther from the diagnosis reporting hospital are more likely to be diagnosed at a later cancer stage, when it is generally less treatable, and have lower survival compared with AYAs living in metropolitan counties.

Regional variations in prevalence and severity of autosomal dominant polycystic kidney disease in the United States

OBJECTIVES

To evaluate geographic variation in the prevalence of autosomal dominant polycystic kidney disease (ADPKD) in the US, including ADPKD at risk of rapid progression.

METHODS

Claims data from the IBM MarketScan Commercial and Medicare Supplemental databases (01/16/2016-12/31/2017) were used to estimate the 2017 annual and 2016-2017 two-year prevalence of diagnosed ADPKD and ADPKD at risk of rapid progression in the US overall, and stratified by census regions and states. Risk of rapid progression was identified based on either: hypertension <35 years, hematuria <30 years, albuminuria, stage 2 chronic kidney disease (CKD) <30 years, stage 3 CKD <50 years, and stage 4/5 CKD or kidney transplant <55 years.

RESULTS

Annual prevalence was estimated at 2.34 and two-year prevalence at 3.61 per 10,000 in the US. Across census regions, two-year prevalence per 10,000 was highest in the Northeast (4.14) and lowest in the West (3.35). Prevalence was significantly correlated with the proportion of individuals in urban areas (r = .34, one-sided p = .026). In 2017, 37.5% of patients were identified as being at risk for rapid progression, and this proportion was larger among patients in the South (42.1%, p < .001).

CONCLUSION

This estimate for ADPKD prevalence is consistent with previously reported national estimates, with regional variation suggesting that ADPKD might be under-diagnosed in rural areas with more limited access to care. More than one-third of ADPKD patients presented risk factors associated with rapid progression, highlighting the need for timely identification, as disease-modifying therapy may delay progression to end-stage renal disease.

Current Challenges in Access to Melanoma Care: A Multidisciplinary Perspective

A diagnosis of melanoma requires multidisciplinary specialized care across all stages of disease. Although many important advances have been made for the treatment of melanoma for local and advanced disease, barriers to optimal care remain for many patients who live in areas without ready access to the expertise of a specialized melanoma center. In this article, we review some of the recent advances in the treatment of melanoma and the persistent challenges around the world that prevent the delivery of the best standard of care to patients living in the community. With the therapeutic landscape continuing to evolve and newer more complex drug therapies soon to be approved, it is important to recognize the many challenges that patients face and attempt to identify tools and policies that will help to improve treatment outcomes for their melanoma.

Trends in spatial access to colonoscopy in South Carolina, 2000-2014

BACKGROUND

Colonoscopy use has increased since Medicare began covering screening for average-risk persons. Our objective was to describe changes in spatial access to colonoscopy in South Carolina (SC) between 2000 and 2014.

METHODS

Using data from the SC Ambulatory Surgery Database, we created annual ZIP Code Tabulation Area (ZCTA) spatial accessibility scores. We assessed changes in accessibility, colonoscopy supply, and potential demand, overall and by metropolitan designation. Spatial clustering was also explored.

RESULTS

Spatial accessibility decreased across both small rural and metropolitan ZCTAs but was significantly higher in metropolitan areas during the first part of the study period . The proportion of persons with no access to colonoscopy within 30 min increased over time but was consistently higher in small rural areas. Clusters of low accessibility grew over time.

CONCLUSIONS

The supply of colonoscopy facilities decreased relative to the potential demand, and clusters of low access increased, indicating a contraction of services.

Rural and racial disparities in colorectal cancer incidence and mortality in South Carolina, 1996 - 2016

PURPOSE

Colorectal cancer (CRC) is the third leading cause of cancer mortality among men and women in the United States and South Carolina (SC). Since SC has one of the highest proportions of Black (27.9%) and rural residents (33.7%), the purpose of this investigation was to describe the burden of CRC on racial disparities in rural populations.

METHODS

Count data from 2012 to 2016 were obtained from the state central cancer registry using an online data retrieval system. Rural-urban status was determined using Urban Influence Codes (1-2 = urban; 3-12 = rural). Chi-square tests were calculated to examine differences in CRC stage by rurality and race. Annual percent change and annual average percent change (AAPC) were calculated to examine trends in incidence and mortality rates across rural-urban and racial groups between 1996 and 2016.

RESULTS

Areas with high mortality-to-incidence ratios tended to be in rural counties. Furthermore, rural residents had higher proportions of distant stage CRC compared to urban residents, and Black populations had higher proportions of distant stage CRC compared to White populations (22.7% vs. 26.3% and 29.3% vs. 23.7%, respectively; P value < 0.05). From 1996 to 2016, Black and White urban-dwelling residents experienced a significant decline in incidence. Urban White, urban Black, and rural White populations experienced significant declines in mortality (AAPC = -2.6% vs -2.4% vs -1.6% vs -0.9%, respectively).

CONCLUSIONS

Despite improvements in CRC screening in recent decades, focused evidenced-based interventions for lowering incidence and mortality among rural and Black populations in South Carolina are necessary.

A narrative review of HPV vaccination interventions in rural U.S. communities

Uptake of human papillomavirus (HPV) vaccine in the United States (U.S.) is far below the Healthy People 2020 goal of 80% coverage among adolescents. In rural communities, HPV vaccination coverage is low, yet incidence and mortality rates of HPV-associated cancer are high. Much of the research focused on HPV vaccination in rural U.S. communities has involved qualitative investigations, observations, survey research, and secondary data analysis with limited implementation of interventional study designs. The purpose of this narrative review was to examine intervention studies to increase HPV vaccination in rural settings and to summarize study characteristics and associated outcomes. PubMed, PsycINFO, CINAHL, and Web of Science were searched utilizing systematic narrative review methodology for studies describing implementation of HPV vaccination interventions in rural U.S. settings from January 2006-December 2019. Using specific search criteria, 991 studies were identified. After abstract review, 30 full-text articles were assessed for eligibility, and 15 met the inclusion criteria. The 15 articles - published from 2011 to 2019 - described HPV vaccination interventions in rural settings of six states, including communities, health clinics, and schools. A range of primary and secondary outcomes were reported, including HPV vaccine receipt (series initiation, continuation, and/or completion); HPV vaccine knowledge; and/or cervical cancer knowledge. Across the studies, there was an absence of the description of rural context. As compared to the broader HPV vaccination intervention literature, interventions in rural settings were limited. More interventional research is needed in rural communities given the elevated rates of HPV-related cancer and low rates of HPV vaccine uptake.

The Intersection of Rural Residence and Minority Race/Ethnicity in Cancer Disparities in the United States

One in every twenty-five persons in America is a racial/ethnic minority who lives in a rural area. Our objective was to summarize how racism and, subsequently, the social determinants of health disproportionately affect rural racial/ethnic minority populations, provide a review of the cancer disparities experienced by rural racial/ethnic minority groups, and recommend policy, research, and intervention approaches to reduce these disparities. We found that rural Black and American Indian/Alaska Native populations experience greater poverty and lack of access to care, which expose them to greater risk of developing cancer and experiencing poorer cancer outcomes in treatment and ultimately survival. There is a critical need for additional research to understand the disparities experienced by all rural racial/ethnic minority populations. We propose that policies aim to increase access to care and healthcare resources for these communities. Further, that observational and interventional research should more effectively address the intersections of rurality and race/ethnicity through reduced structural and interpersonal biases in cancer care, increased data access, more research on newer cancer screening and treatment modalities, and continued intervention and implementation research to understand how evidence-based practices can most effectively reduce disparities among these populations.

Spatial accessibility to colonoscopy and its role in predicting late-stage colorectal cancer

OBJECTIVE

To better determine the relationship between spatial access to colonoscopy and colorectal cancer (CRC) outcomes, our objective was to examine the agreement of the classic, enhanced, and variable two-step floating catchment area (2SFCA) methods in evaluating spatial access to colonoscopy and to compare the predictive validity of each method related to late-stage CRC. 2SFCA methods simultaneously consider supply/demand of services and impedance (ie, travel time).

DATA SOURCES

Colonoscopy provider locations were obtained from the South Carolina Ambulatory Surgery Database. ZIP code tabulation area (ZCTA) level population estimates and area-level poverty level were obtained from the American Community Survey. Rurality was determined by the United States Department of Agriculture's Rural-Urban Commuting Area codes. Individual-level CRC data were obtained from the South Carolina Central Cancer Registry.

STUDY DESIGN

Using the classic, enhanced, and variable 2SFCA methods, we calculated ZCTA-level spatial access to colonoscopy. We assessed agreement between the three methods by calculating Spearman's rank coefficients and weighted Kappas (Κ). Global and Local Moran's I were used to assess spatial clustering of accessibility scores across 2SFCA methods. We performed multilevel logistic regression analyses to examine the association between spatial accessibility to colonoscopy, area- and individual-level factors, and late-stage CRC.

PRINCIPAL FINDINGS

We found strong agreement (Weighted Κ = 0.82; 95% CI = 0.79-0.86) and identified similar clustering patterns with the classic and enhanced 2SFCA methods. There was negligible agreement among the classic/enhanced 2SFCA and the variable 2SFCA. Across all 2SFCA methods, regression models showed that spatial access to colonoscopy, rurality, and poverty level were not associated with greater odds of late-stage CRC, though Black race was associated with late-stage CRC across all models.

CONCLUSIONS

None of the 2SFCA methods showed an association with late-stage CRC. Future studies should explore which elements (spatial or nonspatial) of access to care have the greatest impact on CRC outcomes.

Global mapping of urban-rural catchment areas reveals unequal access to services

Physical access to services and employment opportunities shapes the lives of people everywhere. For 3.4 billion people living in rural locations, the size of nearby urban centers and the associated travel time affect the breadth of services and opportunities available and their accessibility. We identify catchment areas of urban centers of different sizes and how many people gravitate toward each city or town, providing a full spatial representation of the connection between rural areas and urban centers and fresh insights on the diversity of urban–rural systems. The global dataset opens the door to applied research in various disciplines—such as poverty reduction, food systems, health, and education—where a person’s place of residence is an important factor.

Using travel time to cities of different sizes, we map populations across an urban–rural continuum to improve on the standard dichotomous representations of urban–rural interactions. We extend existing approaches by 1) building on central place theory to capture the urban hierarchy in access to services and employment opportunities provided by urban centers of different sizes, 2) defining urban–rural catchment areas (URCAs) expressing the interconnection between urban centers and their surrounding rural areas, and 3) adopting a global gridded approach comparable across countries. We find that one-fourth of the global population lives in periurban areas of intermediate and smaller cities and towns, which challenges the centrality of large cities in development. In low-income countries, 64% of the population lives either in small cities and towns or within their catchment areas, which has major implications for access to services and employment opportunities. Intermediate and small cities appear to provide catchment areas for proportionately more people gravitating around them than larger cities. This could indicate that, for countries transitioning to middle income, policies and investments strengthening economic linkages between urban centers and their surrounding rural areas may be as important as investing in urbanization or the rural hinterlands. The dataset provided can support national economic planning and territorial development strategies by enabling policy makers to focus more in depth on urban–rural interactions.

Hepatopancreatic Surgery in the Rural United States: Variation in Outcomes at Critical Access Hospitals

BACKGROUND

Sixty million Americans live in rural America, with roughly 17.5% of the rural population being 65 y or older. Outcomes and costs of Medicare beneficiaries undergoing hepatopancreatic surgery at critical access hospitals (CAHs) are not known.

MATERIALS AND METHODS

Medicare files were used to identify patients who underwent hepatopancreatic resection. Outcomes were compared (CAHs versus non-CAHs).

RESULTS

Patients undergoing hepatopancreatic surgery at non-CAHs versus CAHs had a similar comorbidity score (4 versus 5, P = 0.53). After adjusting for patient-level factors and procedure-specific volume, there was no difference in complication rate (adjusted odds ratio (aOR) 0.80, 95% confidence interval (CI) 0.52-1.24). The median cost of hospitalization was roughly $4000 less at CAHs than that at non-CAHs (P < 0.001). However, compared with patients undergoing surgery at non-CAHs, beneficiaries operated at CAHs had more than two times the odds of dying within 30 (aOR 2.45, 95% CI 1.42-4.2) and 90 d (aOR 2.28, 95% CI 1.4-3.71).

CONCLUSIONS

Only a small subset of Medicare beneficiaries underwent hepatic or pancreatic resection at a CAH. Despite similar complication rate, Medicare beneficiaries undergoing surgery at a CAH had more than two times the odds of dying within 30 and 90 d after surgery.

Cancer screening utilization by residence and sexual orientation

PURPOSE

Although few studies have examined screening uptake among sexual minorities (lesbian, gay, bisexual, queer), almost none have examined it in the specific context of rural populations. Therefore, our objective was to assess how cancer screening utilization varies by residence and sexual orientation.

METHODS

Publicly available population-level data from the 2014 and 2016 Behavioral Risk Factor Surveillance System were utilized. Study outcomes included recommended recent receipt of breast, cervical, and colorectal cancer screening. Independent variables of interest were residence (rural/urban) and sexual orientation (heterosexual/gay or lesbian/bisexual). Weighted proportions and multivariable logistic regressions were used to assess the association between the independent variables and the outcomes, adjusting for demographic, socioeconomic, and healthcare utilization factors.

RESULTS

Rates for all three cancer screenings were lowest in rural areas and among sexual minority populations (cervical: rural lesbians at 64.8% vs. urban heterosexual at 84.6%; breast: rural lesbians at 66.8% vs. urban heterosexual at 80.0%; colorectal for males: rural bisexuals at 52.4% vs. urban bisexuals at 81.3%; and colorectal for females: rural heterosexuals at 67.2% vs. rural lesbians at 74.4%). In the multivariate analyses for colorectal screening, compared to urban heterosexual males, both rural gay and rural heterosexual males were less likely to receive screening (aOR = 0.45; 95% = 0.24-0.73 and aOR = 0.79; 95% = 0.72-0.87, respectively) as were rural heterosexual females (aOR = 0.87; 95% = 0.80-0.94) compared to urban heterosexual females. For cervical screening, lesbians were less likely to receive screening (aOR = 0.62; 95% = 0.41-0.94) than heterosexuals, and there were no differences for breast screening.

CONCLUSION

We found that rural sexual minorities may experience disparities in cancer screening utilization associated with the compounding barriers of rural residence and sexual minority status, after adjusting for demographic, socioeconomic, and healthcare utilization factors. Further work is needed to identify factors influencing these disparities and how they might be addressed.

Health care disparities in colorectal and esophageal cancer

BACKGROUND

We aimed to identify differences in disparities among patients with a cancer in which screening is widely recommended (colorectal cancer [CRC]) and one in which it is not (esophageal cancer).

METHODS

A retrospective analysis was performed using 2004-2015 data from the National Cancer Database. Multivariable generalized logistic regression was used to identify potential differences in the effect of disparities in stage at diagnosis.

RESULTS

A total of 96,524 esophageal cancer patients and 361,187 CRC patients were included. Black patients, longer travel distances, and lower educational attainment were only associated with increased odds of stage IV CRC. While both Medicaid and uninsured patients were more likely to be diagnosed with stage IV esophageal and CRC, the effect was larger among CRC patients. From 2004 to 2015, the rates of stage IV esophageal cancer decreased from 42.0% to 38.2%, while the rates of stage IV CRC increased from 36.9% to 40.8% (p < 0.0001).

CONCLUSIONS

Disparities are more pronounced in CRC, compared to esophageal cancer. Equity in access to screening and cancer care should be prioritized.

The Influence of Telehealth for Better Health Across Communities

Rapid spread of coronavirus disease 2019 (COVID-19) forced an abrupt shift in the traditional US health care delivery model to meet the needs of patients, staff, and communities. Through federal policy changes on telehealth, patient care shifted from in-person to telephone or video visits, and health care providers reached out to patients most at risk for exacerbation of chronic disease symptoms. ECHO (Extension for Community Healthcare Outcomes), a videoconferencing peer learning application, engaged health care providers across Missouri in the treatment and management of complex COVID-19-positive patients. Re-envisioning health care in the digital age includes robust utilization of telehealth to enhance care for all.

Trends in Hospital Mortality for Uninsured Rural and Urban Populations, 2012-2016

PURPOSE

Rural-urban health disparities have received increasing scrutiny as rural individuals continue to have worse health outcomes. However, little is known about how insurance status contributes to urban-rural disparities. This study characterizes how rural uninsured patients compare to the urban uninsured, determines whether rurality among the uninsured is associated with worse clinical outcomes, and examines how clinical outcomes based on rurality have changed over time.

METHODS

We conducted a retrospective cohort study of the 2012-2016 National Inpatient Sample hospital discharge data including 1,478,613 uninsured patients, of which 233,816 were rural. Admissions were broken into 6 rurality categories. Logistic regression models were used to determine the independent association between rurality and hospital mortality.

FINDINGS

Demographic and clinical characteristics differed significantly between rural and urban uninsured patients: rural patients were more often white, lived in places with lower median household income, and were more often admitted electively and transferred. Rurality was associated with significantly higher in-hospital mortality rates (1.44% vs 1.89%, OR 1.32, P < .001). This association strengthened after adjusting for medical comorbidities and hospital characteristics. Further, disparities between urban and rural mortality were found to be growing, with the gap almost doubling between 2012 and 2016.

CONCLUSIONS

Rural and urban uninsured patients differed significantly, specifically in terms of race and median income. Among the uninsured, rurality was associated with higher in-hospital mortality, and the gap between urban and rural in-hospital mortality was widening. Our findings suggest the rural uninsured are a vulnerable population in need of informed, tailored policies to reduce these disparities.

Lung Cancer Staging at Diagnosis in the Veterans Health Administration: Is Rurality an Influencing Factor? A Cross-Sectional Study

Purpose

To evaluate the association between rurality and lung cancer stage at diagnosis.

Methods:

We conducted a cross-sectional study using Veterans Health Administration (VHA) data to identify veterans newly diagnosed with lung cancer between October 1, 2011 and September 30, 2015. We defined rurality, based on place of residence, using Rural-Urban Commuting Area (RUCA) codes with the subcategories of urban, large rural, small rural, and isolated. We used multivariable logistic regression models to determine associations between rurality and stage at diagnosis, adjusting for sociodemographic and clinical characteristics. We also analyzed data using the RUCA code for patients’ assigned primary care sites and driving distances to primary care clinics and medical centers.

Findings:

We identified 4,220 veterans with small cell lung cancer (SCLC) and 25,978 with non-small cell lung cancer (NSCLC). Large rural residence (compared to urban) was associated with early-stage diagnosis of NSCLC (OR = 1.12; 95% CI: 1.00–1.24) and SCLC (OR = 1.73; 95% CI: 1.18–1.55). However, the finding was significant only in the southern and western regions of the country. White race, female sex, chronic lung disease, higher comorbidity, receiving primary care, being a former tobacco user, and more recent year of diagnosis were also associated with diagnosing early-stage NSCLC. Driving distance to medical centers was inversely associated with late-stage NSCLC diagnoses, particularly for large rural areas.

Conclusions:

We did not find clear associations between rurality and lung cancer stage at diagnosis. These findings highlight the complex relationship between rurality and lung cancer within VHA, suggesting access to care cannot be fully captured by current rurality codes.

Area Deprivation Index and Rurality in Relation to Lung Cancer Prevalence and Mortality in a Rural State

Background

We sought to describe lung cancer prevalence and mortality in relation to socioeconomic deprivation and rurality.

Methods

We conducted a population-based cross-sectional analysis of prevalent lung cancers from a statewide all-payer claims dataset from 2012 to 2016, lung cancer deaths in Maine from the state death registry from 2012 to 2016, rurality, and area deprivation index (ADI), a geographic area-based measure of socioeconomic deprivation. Analyses examined rate ratios for lung cancer prevalence and mortality according to rurality (small and isolated rural, large rural, or urban) and ADI (quintiles, with highest reflecting the most deprivation) and after adjusting for age, sex, and area-level smoking rates as determined by the Behavioral Risk Factor Surveillance System.

Results

Among 1 223 006 adults aged 20 years and older during the 5-year observation period, 8297 received lung cancer care, and 4616 died. Lung cancer prevalence and mortality were positively associated with increasing rurality, but these associations did not persist after adjusting for age, sex, and smoking rates. Lung cancer prevalence and mortality were positively associated with increasing ADI in models adjusted for age, sex, and smoking rates (prevalence rate ratio for ADI quintile 5 compared with quintile 1 = 1.41, 95% confidence interval [CI] =1.30 to 1.54) and mortality rate ratio = 1.59, 95% CI = 1.41 to 1.79).

Conclusion

Socioeconomic deprivation, but not rurality, was associated with higher lung cancer prevalence and mortality. Interventions should target populations with socioeconomic deprivation, rather than rurality per se, and aim to reduce lung cancer risk via tobacco treatment and control interventions and to improve patient access to lung cancer prevention, screening, and treatment services.

Barriers, Facilitators, and Suggested Interventions for Lung Cancer Screening Among a Rural Screening-Eligible Population

Introduction: Rural areas are disproportionally affected by lung cancer late-stage incidence and mortality. Lung cancer screening (LCS) is recommended to find lung cancer early and reduce mortality, yet uptake is low. The purpose of this study was to elucidate the barriers to, facilitators of, and suggested interventions for increasing LCS among a rural screening-eligible population using a mixed methods concurrent embedded design study. Methods: Qualitative and quantitative data were collected from rural-residing adults who met the eligibility criteria for LCS but who were not up-to-date with LCS recommendations. Study participants (n = 23) took part in 1 of 5 focus groups and completed a survey. Focus group discussions were recorded, transcribed, and coded through a mixed deductive and inductive approach. Survey data were used to enhance and clarify focus group results; these data were integrated in the design and during analysis, in accordance with the mixed methods concurrent embedded design approach. Results: Several key barriers to LCS were identified, including an overall lack of knowledge about LCS, not receiving information or recommendation from a health care provider, and lack of transportation. Key facilitators were receiving a provider recommendation and high motivation to know the screening results. Participants suggested that LCS uptake could be increased by addressing provider understanding and recommendation of LCS and conducting community outreach to promote LCS awareness and access. Conclusion: The results suggest that the rural screening-eligible population is generally receptive to LCS. Patient-level factors important to getting this population screened include knowledge, transportation, motivation to know their screening results, and receiving information or recommendation from a provider. Addressing these factors may be important to increase rural LCS uptake.

Multilevel analysis in rural cancer control: A conceptual framework and methodological implications

Rural populations experience a myriad of cancer disparities ranging from lower screening rates to higher cancer mortality rates. These disparities are due in part to individual-level characteristics like age and insurance status, but the physical and social context of rural residence also plays a role. Our objective was two-fold: 1) to develop a multilevel conceptual framework describing how rural residence and relevant micro, macro, and supra-macro factors can be considered in evaluating disparities across the cancer control continuum and 2) to outline the unique considerations of multilevel statistical modeling in rural cancer research. We drew upon several formative frameworks that address the cancer control continuum, population-level disparities, access to health care services, and social inequities. Micro-level factors comprised individual-level characteristics that either predispose or enable individuals to utilize health care services or that may affect their cancer risk. Macro-level factors included social context (e.g. domains of social inequity) and physical context (e.g. access to care). Rural-urban status was considered a macro-level construct spanning both social and physical context, as "rural" is often characterized by sociodemographic characteristics and distance to health care services. Supra-macro-level factors included policies and systems (e.g. public health policies) that may affect cancer disparities. Our conceptual framework can guide researchers in conceptualizing multilevel statistical models to evaluate the independent contributions of rural-urban status on cancer while accounting for important micro, macro, and supra-macro factors. Statistically, potential collinearity of multilevel model predictive variables, model structure, and spatial dependence should also be considered.

Financial hardship among rural cancer survivors: An analysis of the Medical Expenditure Panel Survey

Some cancer survivors report spending 20% of their annual income on medical care. Undue financial burden that patients face related to the cost of care is referred to as financial hardship, which may be more prevalent among rural cancer survivors. This study examined contrasts in financial hardship among 1419 rural and urban cancer survivors using the 2011 Medical Expenditure Panel Survey supplement - The Effects of Cancer and Its Treatment on Finances. We combined four questions, creating a measure of material financial hardship, and examined one question on financial worry. We conducted multivariable logistic regression analyses, which produced odds ratios (OR) for factors associated with financial hardship and worry, and then generated average adjusted predicted probabilities. We focused on rural and urban differences classified by metropolitan statistical area (MSA) designation, controlling for age, education, race, marital status, health insurance, family income, and time since last cancer treatment. More rural cancer survivors reported financial hardship than urban survivors (23.9% versus 17.1%). However, our adjusted models revealed no significant impact of survivors' MSA designation on financial hardship or worry. Average adjusted predicted probabilities of financial hardship were 18.6% for urban survivors (Confidence Interval [CI]: 11.9%-27.5%) and 24.2% for rural survivors (CI: 15.0%-36.2%). For financial worry, average adjusted predicted probabilities were 19.9% for urban survivors (CI: 12.0%-31.0%) and 18.8% for rural survivors (CI: 12.1%-28.0%). Improving patient-provider communication through decision aids and/or patient navigators may be helpful to reduce financial hardship and worry regardless of rural-urban status.

Geographic disparities in residential proximity to colorectal and cervical cancer care providers

BACKGROUND

Persistent rural-urban disparities for colorectal and cervical cancers raise concerns regarding access to treatment providers. To the authors knowledge, little is known regarding rural-urban differences in residential proximity to cancer specialists.

METHODS

Using the 2018 Physician Compare data concerning physician practice locations and the 2012 to 2016 American Community Survey, the current study estimated the driving distance from each residential zip code tabulation area (ZCTA) centroid to the nearest cancer provider of the following medical specialties involved in treating patients with colorectal and cervical cancer: medical oncology, radiation oncology, surgical oncology, general surgery, gynecological oncology, and colorectal surgery. Using population-weighted multivariable logistic regression, the authors analyzed the associations between ZCTA-level characteristics and driving distances >60 miles to each type of specialist. ZCTA-level residential rurality was defined using rural-urban commuting area codes.

RESULTS

Nearly 1 in 5 rural Americans lives >60 miles from a medical oncologist. Rural-urban differences in travel distances to the nearest cancer care provider(s) increased substantially for cancer surgeons; greater than one-half of rural residents were required to travel 60 miles to reach a gynecological oncologist, compared with 8 miles for their urban counterparts. Individuals residing within ZCTAs with a higher poverty rate, those of American Indian/Alaska Native ethnicity, and/or were located in the South and West regions were more likely than their counterparts to be >60 miles away from any of the aforementioned providers.

CONCLUSIONS

The substantial travel distances required for rural, low-income residents to reach a cancer specialist should prompt a policy action to increase access to specialized cancer care for millions of rural residents.

Investigating the Impact of Geographic Location on Colorectal Cancer Stage at Diagnosis: A National Study of the SEER Cancer Registry

BACKGROUND

Early detection of colorectal cancer (CRC) is associated with decreased mortality and potential avoidance of chemotherapy. CRC screening rates are lower in rural communities and patient outcomes are poorer. This study examines the extent to which United States' rural residents present at a more advanced stage of CRC compared to nonrural residents.

METHODS

Using the 2010-2014 Surveillance, Epidemiology and End Results Incidence data, 132,277 patients with CRC were stratified using their county of residence and urban influence codes into 5 categories (metro, adjacent micropolitan, nonadjacent micropolitan, small rural, and remote small rural). Logistic regression was used to investigate the relationship between late stage at diagnosis and county-level characteristics including level of rurality, persistent poverty, low education and low employment, and patient characteristics.

RESULTS

In the adjusted analysis the rate of stage 4 CRC at diagnosis differed across geographic classification, with patients living in remote small rural counties having the highest rate of stage 4 disease (range: 19.2% in nonadjacent micropolitan counties to 22.7% in remote small rural counties). Other factors, such as patient characteristics, insurance status, and regional practice variation were also significantly associated with late-stage CRC diagnosis.

CONCLUSIONS

Geographic residence is associated with the rate of stage 4 disease at presentation. Additional patient factors are associated with stage 4 CRC disease at diagnosis. Cancer outcomes are worse for rural patients, and late stage at diagnosis may partially account for this disparity. These differences have persisted over time and suggest areas for further research, patient engagement, and education.

Rural-Urban Differences in Access to Thoracic Surgery in the United States, 2010 to 2014

BACKGROUND

Because of recent lung cancer screening recommendations and corresponding insurance coverage, it is expected that more early stage cases will be identified that require thoracic surgery. However, these services may not be equally available in all regions. Our objective is to describe the availability of thoracic surgeons by examining geographic variation, rural-urban differences, and temporal changes before and after screening recommendation and insurance coverage policy changes.

METHODS

We examined the U.S. thoracic surgery workforce using the 2010 and 2014 Area Health Resource Files. We calculated the density of thoracic surgeons per 100,000 persons for each year at the state and county level. We performed descriptive statistics and developed maps highlighting changes over time and geographic regions.

RESULTS

Despite an overall increase in thoracic surgeons from 2010 to 2014, we observed declining density nationwide (1.5% change) and in sparsely populated states. The difference in thoracic surgeon density widened slightly between 2010 from 0.80 per 100,000 compared with 0.84 per 100,000 in 2014 in all rural counties compared with urban counties (P < .001 for both years). The difference in thoracic surgeon density was most pronounced between small adjacent rural and urban counties (0.95 and 0.96 per 100,000 for 2010 and 2014, respectively; P < .001 for both years). The Northeast held a disproportionate share of the thoracic surgery workforce.

CONCLUSIONS

Limited access to thoracic surgeons in rural areas is a concern, given an older and retiring surgical workforce, the higher burden of lung cancer in rural areas, and recent policy changes for screening reimbursement.

Rural-urban residence and cancer survival in high-income countries: A systematic review

There is some evidence that place of residence is associated with cancer survival, but the findings are inconsistent, and the underlying mechanisms by which residential location might affect survival are not well understood. We conducted a systematic review of observational studies investigating the association of rural versus urban residence with cancer survival in high-income countries. We searched the Ovid Medline, EMBASE, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) databases up to May 31, 2016. Forty-five studies published between 1984 and 2016 were included. We extracted unadjusted and adjusted relative risk estimates with the corresponding 95% confidence intervals. Most studies reported worse survival for cancer patients living in rural areas than those in urban regions. The most consistent evidence, observed across several studies, was for colorectal, lung, and prostate cancer. Of the included studies, 18 did not account for socio-economic position. Lower survival for more disadvantaged patients is well documented; therefore, it could be beneficial for future research to take socio-economic factors into consideration when assessing rural/urban differences in cancer survival. Some studies cited differential stage at diagnosis and treatment modalities as major contributing factors to regional inequalities in cancer survival. Further research is needed to disentangle the mediating effects of these factors, which may help to establish effective interventions to improve survival for patients living outside major cities.

Association Between Rurality and Lung Cancer Treatment Characteristics and Timeliness

BACKGROUND

Lung cancer is the leading cause of cancer-related mortality in the United States, and rural states bear a greater burden of disease.

METHODS

We analyzed tumor registry data to examine relationships between rurality and lung cancer stage at diagnosis and treatment. Cases were from the Maine Cancer Registry from 2012 to 2015, and rurality was defined using rural-urban commuting areas. Multivariable models were used to examine the relationships between rurality and treatment, adjusting for age, sex, poverty, education, insurance status, and cancer stage.

RESULTS

We identified 5,338 adults with incident lung cancer; 3,429 (64.2%) were diagnosed at a late stage (III or IV). Rurality was not associated with stage at diagnosis. For patients with early-stage disease (I or II), rurality was not associated with receipt of treatment. However, for patients with late-stage disease, residents of large rural areas received more surgery (10%) compared with metropolitan (9%) or small/isolated rural areas (6%), P = .01. In multivariable analyses, patients in large rural areas received more chemotherapy (OR 1.48; 95% CI: 1.08-2.02) than those in metropolitan areas. Patients with early-stage disease residing in small/ isolated rural areas had delays in treatment (median time to first treatment = 43 days, interquartile range [IQR] 22-68) compared with large rural (34 days, IQR 17-55) and metropolitan areas (35 days, IQR 17-60), P = .0009.

CONCLUSION

Rurality is associated with differences in receipt of specific lung cancer treatments and in timeliness of treatment.

Challenges Associated With Living Remotely From a Pediatric Cancer Center: A Qualitative Study

PURPOSE

Pediatric patients with cancer who live in rural communities face disparate access to medical services compared with those in urban areas. Our objectives were to use qualitative methods to describe how living in a rural setting during receipt of treatment at an urban cancer center affects a patient's clinical course and to identify feasible areas of intervention to enhance service to these families.

MATERIALS AND METHODS

We conducted semistructured interviews of caregivers of pediatric patients with cancer who received treatment at an urban pediatric hospital in the Midwest. Questions focused on how distance between home residence and cancer-treating hospital affected cancer treatment.

RESULTS

Eighteen caregiver interviews were conducted. Five multithemed domains were identified; two related to receipt of emergent care at local hospitals, one related to the impact that distance had on the family, and two related to managing and coping with a pediatric cancer diagnosis.

CONCLUSION

Rural families of pediatric patients with cancer face unique challenges in addition to those previously identified for pediatric patients with cancer, most notably increased travel time to their cancer centers and increased time spent in community hospitals to receive emergent care. We recommend feasible steps to improve the care of rural children with cancer, including improved parental anticipatory guidance about unanticipated emergent visits to local hospitals, outreach to local hospitals, and medical visit coordination.

County of Residence and Screening Practices among Latinas and Non-Latina Whites in Two Rural Communities

Objectives

Latinas are less likely than non-Latina Whites (NLW) to utilize mammographic screening and are more likely to be diagnosed with late-stage breast cancer. Here, we examine the effects of county-level factors on guideline-concordant breast-cancer screening behaviors in Latinas and NLWs.

Design

Latinas (N=108) and NLW women (N=132) aged >40 years, residing in two adjacent rural, medically underserved counties in eastern Washington State, completed a baseline questionnaire on mammography utilization and demographics.

Main Outcome Measures

Differences in socioeconomic variables and knowledge of screening practices were examined by ethnicity and county of residence. Predictors of having had a mammogram within the past two years were analyzed using multivariate logistic regression.

Results

Ethnicity was not associated with having a guideline-concordant mammogram; however, age (odds ratio [OR]=1.04, 95%CI:1.01-1.08); having >12 years of education (OR=2.09, 95%CI:1.16-3.79); having a regular clinic for health care (OR=2.22, 95%CI:1.05-4.70); having had a prior clinical breast exam (OR=5.07, 95%CI:1.71-15.02), and county of residence (OR=2.27, 95%CI:1.18-4.37) were all associated with having had a guideline-concordant mammogram.

Conclusions

County of residence and having had a prior CBE were strong predictors of screening utilization. Community-level factors in medically underserved areas may influence screening patterns.