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

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.

Exploring Whether and How People Experiencing High Deprivation Access Diagnostic Services: A Qualitative Systematic Review

INTRODUCTION

To contribute to addressing diagnostic health inequalities in the United Kingdom, this review aimed to investigate determinants of diagnostic service use amongst people experiencing high deprivation in the United Kingdom.

METHODS

A systematic review was conducted using three databases (EBSCO, Web of Science and SCOPUS) to search studies pertaining to diagnostic service use amongst people experiencing high deprivation. Search terms related to diagnostics, barriers and facilitators to access and deprivation. Articles were included if they discussed facilitators and/or barriers to diagnostic service access, contained participants' direct perspectives and focussed on individuals experiencing high deprivation in the United Kingdom. Articles were excluded if the full text was unretrievable, only abstracts were available, the research did not focus on adults experiencing high deprivation in the United Kingdom, those not including participants' direct perspectives (e.g., quantitative studies) and papers unavailable in English.

RESULTS

Of 14,717 initial papers, 18 were included in the final review. Determinants were grouped into three themes (Beliefs and Behaviours, Emotional and Psychological Factors and Practical Factors), made up of 15 sub-themes. These were mapped to a conceptual model, which illustrates that Beliefs and Behaviours interact with Emotional and Psychological Factors to influence Motivation to access diagnostic services. Motivation then influences and is influenced by Practical Factors, resulting in a Decision to Access or Not. This decision influences Beliefs and Behaviours and/or Emotional and Psychological Factors such that the cycle begins again.

CONCLUSION

Decision-making regarding diagnostic service use for people experiencing high deprivation in the United Kingdom is complex. The conceptual model illustrates this complexity, as well as the mediative, interactive and iterative nature of the process. The model should be applied in policy and practice to enable understanding of the factors influencing access to diagnostic services and to design interventions that address identified determinants.

PATIENT OR PUBLIC CONTRIBUTION

Consulting lived experience experts was imperative in understanding whether and how the existing literature captures the lived experience of those experiencing high deprivation in South England. The model was presented to lived experience experts, who corroborated findings, highlighted significant factors for them and introduced issues that were not identified in the review.

Exploring Demographic Differences and Outcomes in Early-Onset Colorectal Cancer

PURPOSE

Early-onset colorectal cancer (EOCRC), defined as CRC diagnosed before age 50 years, has increased significantly worldwide. The majority of EOCRCs do not appear to be driven by genetic factors and may be influenced by environmental factors. We hypothesized that sociodemographic disparities exist in EOCRC. The purpose was of the study was to examine the geographic disparities in patients with EOCRC.

METHODS

We retrospectively examined the SEER database from 1976 to 2016 to examine the geographic disparities in EOCRC. A total of 73,378 patients with EOCRC were included in the analysis. We performed univariate and multivariable analyses to evaluate overall survival (OS) and disease-specific survival (DSS). Sociodemographic factors, including the location of residence (metropolitan areas [MA] or rural areas [RA]), sex, race, insurance status, and marital status, were included in the statistical analysis.

RESULTS

The incidence and mortality rates were consistently higher in RA versus MA during the study period. Multivariable analysis showed that patients living in RA had worse OS (hazard ratio [HR], 1.14; P < .01) and DSS (HR, 1.15; P < .001) compared with those living in MA. Similarly, non-Hispanic Black ethnicity and uninsured patients had significantly worse survival when compared with non-Hispanic White and insured patients, respectively. Married status showed better survival outcomes.

CONCLUSION

Patients with EOCRC living in RA have worse outcomes. Understanding the mechanisms behind such socioeconomic disparities is important so that future studies can reduce these disparities.

Application of Geographic Information Systems (GIS) in the Study of Prostate Cancer Disparities: A Systematic Review

Introduction: PCa is one of the cancers that exhibits the widest disparity gaps. Geographical place of residence has been shown to be associated with healthcare access/utilization and PCa outcomes. Geographical Information Systems (GIS) are widely being utilized for PCa disparities research, however, inconsistencies in their application exist. This systematic review will summarize GIS application within PCa disparities research, highlight gaps in the literature, and propose alternative approaches. Methods: This paper followed the methods of the Cochrane Collaboration and the criteria set of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Articles published in peer-reviewed journals were searched through the PubMed, Embase, and Web of Science databases until December 2022. The main inclusion criteria were employing a GIS approach and examining a relationship between geographical components and PCa disparities. The main exclusion criteria were studies conducted outside the US and those that were not published in English. Results: A total of 25 articles were included; 23 focused on PCa measures as outcomes: incidence, survival, and mortality, while only 2 examined PCa management. GIS application in PCa disparities research was grouped into three main categories: mapping, processing, and analysis. GIS mapping allowed for the visualization of quantitative, qualitative, and temporal trends of PCa factors. GIS processing was mainly used for geocoding and smoothing of PCa rates. GIS analysis mainly served to evaluate global spatial autocorrelation and distribution of PCa cases, while local cluster identification techniques were mainly employed to identify locations with poorer PCa outcomes, soliciting public health interventions. Discussion: Varied GIS applications and methodologies have been used in researching PCa disparities. Multiple geographical scales were adopted, leading to variations in associations and outcomes. Geocoding quality varied considerably, leading to less robust findings. Limitations in cluster-detection approaches were identified, especially when variations were captured using the Spatial Scan Statistic. GIS approaches utilized in other diseases might be applied within PCa disparities research for more accurate inferences. A novel approach for GIS research in PCa disparities could be focusing more on geospatial disparities in procedure utilization especially when it comes to PCa screening techniques. Conclusions: This systematic review summarized and described the current state and trend of GIS application in PCa disparities research. Although GIS is of crucial importance when it comes to PCa disparities research, future studies should rely on more robust GIS techniques, carefully select the geographical scale studied, and partner with GIS scientists for more accurate inferences. Such interdisciplinary approaches have the potential to bridge the gaps between GIS and cancer prevention and control to further advance cancer equity.

Estimating the Impact of Rurality in Disparities in Cancer Mortality

PURPOSE

Estimation of the independent effect of rurality on cancer mortality requires causal inference methodology and consideration of area-level socioeconomic status and rural designations.

METHODS

Using SEER data, we identified key incident cancers diagnosed between 2000 and 2016 at age ≥20 years (N = 3,788,273), examining a 20% random sample (n = 757,655). Standardized competing risk and survival models estimated the association between rural residence, defined by Rural-Urban Continuum Codes, and cancer-specific and all-cause mortality, controlling for age at cancer diagnosis, sex, race/ethnicity, year of diagnosis, and Area Deprivation Index (ADI). We estimated the attributable fraction (AF) of rurality and high ADI (ADI > median) to the probability of mortality. Finally, we examined county measurement issues contributing to mortality rates discordant from hypothesized rates.

RESULTS

The 5-year standardized failure probability for cancer mortality for rural patients was 33.9% versus 31.56% for urban. The AF for rural residence was 1.04% at year 1 (0.89% by year 5), the highest among local stage disease (Y1 2.1% to Y5 1.9%). The AF for high ADI was 3.33% in Y1 (2.87% in Y5), while the joint effect of rural residence and high ADI was 4.28% in Y1 (3.71% in Y5). Twenty-two percent of urban counties and 30% of rural were discordant. Among discordant urban counties, 30% were only considered urban because of adjacency to metro area. High ADI was associated with urban discordance and low ADI with rural discordance.

CONCLUSION

Rural residence independently contributes to cancer mortality. The rural impact is the greatest among those with localized disease and in high deprivation areas. Rural-urban county designations may mask high-need urban counties, limiting eligibility to state and federal resources dedicated to rural areas.

Demographic differences in early vs. late-stage laryngeal squamous cell carcinoma

PURPOSE

This study aims to evaluate how various demographic factors impact the stage at diagnosis and, therefore, prognosis of laryngeal cancer.

MATERIALS AND METHODS

Using the National Cancer Database, 96,409 patients were diagnosed with laryngeal squamous cell carcinoma between 2004 and 2020. Early (stage 0 or I) vs. late-stage (stage IV) cancers were compared based on demographic variables utilizing Chi-square and multivariate analysis with a significance of p < 0.05.

RESULTS

Female, Black, and generally older patients were more likely to have late-stage cancer than their counterparts. When compared with a community cancer program, patients treated at other facility types were more likely to be diagnosed late. Patients with private insurance, Medicare, or other government insurance were all less likely to have late-stage cancer compared to patients without insurance. Compared to patients in the lowest median household income quartile, patients in the third quartile and fourth quartile were diagnosed earlier. Patients living in an area with the lowest level of high school degree attainment were most likely to be diagnosed late. Living in a more populous area was associated with a lower chance of being diagnosed late. Increasing Charlson-Deyo Score was associated with a stronger likelihood of being diagnosed at a later stage.

CONCLUSION

Patients who are female, Black, uninsured, have a low household income, live in less populated and less educated areas, are treated at non-community cancer programs, and have more comorbid conditions have later stage diagnoses. This data contributes to understanding inequities in healthcare.

Health-related quality of life in rural cancer survivors compared with their urban counterparts: a systematic review

PURPOSE

We conducted a systematic review to describe health-related quality of life (HRQOL) in rural cancer survivors (RCS), and compare HRQOL between RCS and urban cancer survivors (UCS).

METHOD

We searched Medline, Embase, CINAHL Plus, and PsycINFO for studies with HRQOL in adult cancer survivors living in rural, regional, remote, and urban areas, who had completed definitive primary cancer treatment, without evidence of residual disease. Where available, we used normative and clinically important values to ascribe meaning to HRQOL data.

FINDINGS

Fifteen studies (16 papers) were included. Most were from the US (n = 8) and reported on breast cancer survivors (n = 9). Six HRQOL instruments, collecting data across 16 domains, were used. Three instruments were specific to the survivorship phase. Normative and clinical data were available for 12 studies. Compared with normative populations, RCS had clinically worse physical HRQOL (6/12 studies), better social/family (5/7), and functional (3/6) HRQOL, and there were no differences in emotional or/mental HRQOL (9/12). In six studies with rural-urban comparator groups and normative and clinically important data, RCS and UCS had clinically worse physical (3/6 and 2/6, respectively) and better social/family (3/4 and 2/4 studies, respectively) HRQOL than normative populations. Functional HRQOL was better in RCS (2/4 studies) than UCS and normative populations. In 3/6 studies, there were no clinical differences in emotional or/mental HRQOL between RCS, UCS, and normative populations.

CONCLUSION

Overall, HRQOL is not clearly better or worse in RCS than UCS. Future research should include different tumor types, rural residents, and survivorship-specific HRQOL instruments.

Global epidemiology of kidney cancer

Kidney cancer (KC) is a disease with a rising worldwide incidence estimated at 400 000 new cases annually, and a worldwide mortality rate approaching 175 000 deaths per year. Current projections suggest incidence continuing to increase over the next decade, emphasizing the urgency of addressing this significant global health trend. Despite the overall increases in incidence and mortality, striking social disparities are evident. Low- and middle-income countries bear a disproportionate burden of the disease, with higher mortality rates and later-stage diagnoses, underscoring the critical role of socioeconomic factors in disease prevalence and outcomes. The major risk factors for KC, including smoking, obesity, hypertension and occupational exposure to harmful substances, must be taken into account. Importantly, these risk factors also often contribute to kidney injury, a condition that the review identifies as a significant, yet under-recognized, precursor to KC. Finally, the indispensable role of nephrologists is underscored in managing this complex disease landscape. Nephrologists are at the forefront of detecting and managing kidney injuries, and their role in mitigating the risk of KC is becoming increasingly apparent. Through this comprehensive analysis, we aim to facilitate a more nuanced understanding of KC's epidemiology and determinants providing valuable insights for researchers, clinicians and policymakers alike.

Human papillomavirus circulating tumor DNA assays as a mechanism for head and neck cancer equity in rural regions of the United States

The rates of human papillomavirus-positive oropharyngeal cancer (HPV-OPC) are rising worldwide and in the United States, particularly in rural regions including Appalachia. Rural areas face unique health challenges resulting in higher cancer incidence and mortality rates, and this includes HPV-OPC. The recent advent of highly sensitive liquid biopsies for the non-invasive detection of HPV-OPC recurrence (circulating tumor HPV DNA, HPV ctDNA) has been swiftly adopted as part of surveillance paradigms. Though knowledge gaps persist regarding its use and clinical trials are ongoing, the ease of collection and cost-effectiveness of HPV ctDNA make it more accessible for HPV-OPC survivors than usual surveillance methods of frequent exams and imaging. Herein, we discuss how implementing HPV ctDNA assays in rural regions of the United States provide one poignant example of how liquid biopsies can improve cancer care equity.

App-based support for breast cancer patients to reduce psychological distress during therapy and survivorship - a multicentric randomized controlled trial

Introduction

The negative impact of unmanaged psychological distress on quality of life and outcome in breast cancer survivors has been demonstrated. Fortunately, studies indicate that distress can effectively be addressed and even prevented using evidence-based interventions. In Germany prescription-based mobile health apps, known as DiGAs (digital health applications), that are fully reimbursed by health insurances, were introduced in 2020. In this study, the effectiveness of an approved breast cancer DiGA was investigated: The personalized coaching app PINK! Coach supports and accompanies breast cancer patients during therapy and follow-up.

Methods

PINK! Coach was specifically designed for breast cancer (BC) patients from the day of diagnosis to the time of Follow-up (aftercare). The app offers individualized, evidence-based therapy and side-effect management, mindfulness-based stress reduction, nutritional and psychological education, physical activity tracking, and motivational exercises to implement lifestyle changes sustainably in daily routine. A prospective, intraindividual RCT (DRKS00028699) was performed with n = 434 patients recruited in 7 German breast cancer centers from September 2022 until January 2023. Patients with BC were included independent of their stage of diseases, type of therapy and molecular characteristics of the tumor. Patients were randomized into one of two groups: The intervention group got access to PINK! over 12 weeks; the control group served as a waiting-list comparison to "standard of care." The primary endpoint was psychological distress objectified by means of Patient Health Questionnaire-9 (PHQ-9). Subgroups were defined to investigate the app's effect on several patient groups such as MBC vs. EBC patients, patients on therapy vs. in aftercare, patients who received a chemotherapy vs. patients who did not.

Results

Efficacy analysis of the primary endpoint revealed a significant reduction in psychological distress (least squares estimate -1.62, 95% confidence interval [1.03; 2.21]; p<0.001) among intervention group patients from baseline to T3 vs, control group. Subgroup analysis also suggested improvements across all clinical situations.

Conclusion

Patients with breast cancer suffer from psychological problems including anxiety and depression during and after therapy. Personalized, supportive care with the app PINK! Coach turned out as a promising opportunity to significantly improve psychological distress in a convenient, accessible, and low-threshold manner for breast cancer patients independent of their stage of disease (EBC/MBC), therapy phase (aftercare or therapy) or therapy itself (chemotherapy/other therapy options). The app is routinely available in Germany as a DiGA. Clinical Trial Registration: DRKS Trial Registry (DRKS00028699).

Clinicians' Experiences and Perspectives about a New Lung Cancer Referral Pathway in a Regional Health Service

Introduction

Development and implementation of the Townsville Lung Cancer Referral Pathway [TLCRP] aims to reduce delays and improve referral patterns of people with suspected lung cancer in north Queensland, Australia. Reported in this paper is the experiences and perspectives of general practitioners [GPs] and specialists of the TLCRP.

Methods

This was a descriptive qualitative study nested within a larger project evaluating TLCRP, utilising a broader implementation science framework. In-depth, semi-structured interviews with GPs and specialists were conducted. An iterative, inductive thematic analysis of interview transcripts was used to derive key codes, then grouped into themes regarding participant experiences and perceptions.

Results

Data analysis identified two major themes and several sub-themes. The major themes were variation in the uptake of TLCRP and enhancing coordinated care and communication.

Discussion

Several enablers and barriers to implementing TLCRP were identified. Barriers to adaptation of TLCRP included lack of clinical time, resistance to changing referral patterns, lack of familiarity or experience with HealthPathways and technology issues.

Conclusion

Emerging themes from this study may be used to reduce the barriers and improve uptake of TLCRP and other health care pathways in the local health service and may have wider relevance in other settings.

Identifying predictors of COVID-related delays in cancer-specific medical care

PURPOSE

Evidence of the impact of the COVID-19 pandemic on cancer prevention and control is growing, but little is known about patient-level factors associated with delayed care. We analyzed data from a survey focused on Iowan cancer patients' COVID-19 experiences in the early part of the pandemic.

METHODS

Participants were recruited from the University of Iowa Holden Comprehensive Cancer Center's Patients Enhancing Research Collaborations at Holden (PERCH) program. We surveyed respondents on demographic characteristics, COVID-19 experiences and reactions, and delays in any cancer-related health care appointment, or cancer-related treatment appointments. Two-sided significance tests assessed differences in COVID-19 experiences and reactions between those who experienced delays and those who did not.

RESULTS

There were 780 respondents (26% response), with breast, prostate, kidney, skin, and colorectal cancers representing the majority of respondents. Delays in cancer care were reported by 29% of respondents. In multivariable-adjusted models, rural residents (OR 1.47; 95% CI 1.03, 2.11) and those experiencing feelings of isolation (OR 2.18; 95% CI 1.37, 3.47) were more likely to report any delay, where experiencing financial difficulties predicted delays in treatment appointments (OR 5.72; 95% CI 1.96, 16.67). Health insurance coverage and concern about the pandemic were not statistically significantly associated with delays.

CONCLUSION

These findings may inform cancer care delivery during periods of instability when treatment may be disrupted by informing clinicians about concerns that patients have during the treatment process. Future research should assess whether delays in cancer care impact long-term cancer outcomes and whether delays exacerbate existing disparities in cancer outcomes.

Rectal cancer survival and prognostic factors in Iranian population: A retrospective cohort study

BACKGROUND

Rectal cancer (RC) poses a significant global health challenge, causing substantial morbidity and mortality. This study aims to investigate the survival rates of RC patients and identify the factors that influence their survival. The study considers demographic characteristics, tumor features, and treatment received as the factors under consideration.

METHODS

A retrospective analysis was conducted on the medical records of 593 RC patients. Data were collected through a comprehensive review of medical records and conducting telephone interviews. Survival rates were estimated using the life table method, and subgroup comparisons were performed using the log-rank test. Cox regression analysis was utilized to assess the independent associations between RC survival time and various covariates.

RESULTS

The study cohort comprised 593 RC patients, with a predominantly male representation. The mean age at diagnosis was 58.18 years, and the majority of patients (78.6 %) underwent surgical interventions. The median age at symptom onset and diagnosis were 58 and 59 years, respectively. Survival rates at 1st, 3rd, 5th, and 10th years were estimated to be 85 %, 59 %, 47 %, and 36 %, respectively. Statistical analysis revealed several significant prognostic factors, including age, education, symptoms, and cancer stage. In the multivariate Cox proportional-hazards analysis, advanced regional stage (HR = 1.54, 95 % CI, 1.13-2.08), presence of metastasis (HR = 3.73, 95 % CI, 2.49-5.58), and age over 70 (HR = 1.65) were associated with a higher risk of mortality.

CONCLUSION

Given the alarming prognosis of RC observed in the study area and the significant delay between symptom onset and diagnosis, it is crucial to address this issue and potentially improve the survival rates of RC patients.

Breast Cancer Risk Factors among Women with Solid Breast Lesions

BACKGROUND

Breast cancer is the most frequent malignancy in women worldwide and one of the most curable cancers if diagnosed at an early stage. Female patients presenting solid breast lesions are greatly predisposed to breast cancer development, and as such, effective screening of high-risk patients is valuable in early-stage breast cancer detection.

OBJECTIVES

The aim of our study was to identify the most relevant demographic, reproductive and lifestyle risk factors for breast cancer among women with solid breast lesions living in western Romania, namely the urban region consisting of Timisoara and the rural surrounding regions.

METHODS

From January 2017 to December 2021, 1161 patients with solid breast lesions, as detected by sonoelastography, were divided into two groups: patients with benign lesions (1019, 87.77%) and patients with malignant nodules (142, 12.23%). The malignancy group was confirmed by a histopathological result. Variables including age, BMI, menarche, menopause, years of exposure to estrogen, number of births, breastfeeding period, use of oral combined contraceptives, smoker status, family medical history and living area (rural-urban) were recorded.

RESULTS

It was evidenced by our study that the main risk factors for malignancy were elevated age (OR = 1.07, 95% CI 1.05-1.08), BMI (OR = 1.06, 95% CI 1.02-1.10), living area (rural) (OR = 1.86, 95% CI 1.13-2.85) and family medical history (negative) (OR 3.13, 95% CI 1.43-8.29). The other proposed risk factors were not found to be statistically significant.

CONCLUSIONS

Age and BMI were observed to be the most significant factors for breast cancer risk increase, followed by living in a rural area. A family history of breast cancer was shown to be inversely correlated with cancer risk increase.

Rural Women Have a Prolonged Recovery Process after Esophagectomy

BACKGROUND

Gender and geographic access to care play a large role in health disparities in esophageal cancer care. The aim of our study was to evaluate disparities in peri-operative outcomes for patients undergoing esophagectomy based on gender and geographic location.

METHODS

A retrospective cohort of prospectively collected data from patients who underwent esophagectomy from 2003 to 2022 was identified and analyzed based on gender and county, which were aggregated into existing state-level "metropolitan" versus "rural" designations. The demographics, pre-operative treatment, surgical complications, post-operative outcomes, and length of stay (LOS) of each group were analyzed using chi-squared, paired t-tests and single-factor ANOVA.

RESULTS

Of the 1545 patients, men (83.6%) and women (16.4%) experienced similar rates of post-operative complications, but women experienced significantly longer hospital (p = 0.002) and ICU (p = 0.03) LOSs as compared with their male counterparts, with no differences in 30-day mortality. When separated by geographic criteria, rural women were further outliers, with significantly longer hospital LOSs (p < 0.001) and higher rates of ICU admission (p < 0.001).

CONCLUSIONS

Rural female patients undergoing esophagectomy were more likely to have a longer inpatient recovery process compared with their female metropolitan or male counterparts, suggesting a need for more targeted interventions in this population.

Rural-urban disparity in cancer burden and care: findings from an Indian cancer registry

BACKGROUND

Cancer incidence and mortality vary across the globe, with nearly two-thirds of cancer-related deaths occurring in low- and middle-income countries. The rural-urban disparity in socio-demographic, behavioural, and lifestyle-related factors, as well as in access to cancer care, is one of the contributing factors. Population-based cancer registries serve as a measure for understanding the burden of cancer. We aimed to evaluate the rural-urban disparity in cancer burden and care of patients registered by an Indian population-based cancer registry.

METHODS

This study collected data from Varanasi, Uttar Pradesh, India, between 2017 and 2019. Sex and site-specific age-standardised rates for incidence and mortality per 100,000 population were calculated. Rural-urban disparities in cancer incidence and mortality were estimated through rate differences and standardised rate ratios (with 95% confidence intervals). Univariable and multivariable regressions were applied to determine any significant differences in socio-demographic and cancer-related variables according to place of residence (rural/urban). Crude and adjusted odds ratios with 95% confidence intervals were calculated.

RESULTS

6721 cancer patients were registered during the study duration. Urban patients were older and had better literacy and socioeconomic levels, while rural patients had higher odds of having unskilled or semi-skilled professions. Diagnostic and clinical confirmation for cancer was significantly higher in urban patients, while verbal autopsy-based confirmation was higher in rural patients. Rural patients were more likely to receive palliative or alternative systems of medicine, and urban patients had higher chances of treatment completion. Significantly higher incidence and mortality were observed for oral cancer among urban men and for cervical cancer among rural women. Despite the higher incidence of breast cancer in urban women, significantly higher mortality was observed in rural women.

CONCLUSIONS

Low- and middle-income countries are facing dual challenges for cancer control and prevention. Their urban populations experience unhealthy lifestyles, while their rural populations lack healthcare accessibility. The distinctness in cancer burden and pattern calls for a re-evaluation of cancer control strategies that are tailor-made with an understanding of urban-rural disparities. Context-specific interventional programmes targeting risk-factor modifications, cancer awareness, early detection, and accessibility to diagnosis and care are essential.

Do age at diagnosis, tumour thickness and tumour site explain sex differences in melanoma survival? A causal mediation analysis using cancer registry data

Women diagnosed with melanoma have better survival than men, but little is known about potential intervention targets to reduce this survival gap by sex. We conducted a population-based study using Victorian Cancer Registry data including 5833 women and 6780 men aged 15 to 70 years when diagnosed with first primary melanoma between 2007 and 2015. Deaths to the end of 2020 were identified through linkage to the Victorian and national death registries. We estimated the effect of age at diagnosis, tumour thickness and tumour site on reducing the melanoma-specific survival gap by sex (ie, interventional indirect effects [IIEs]) on risk difference (RD) scale. Compared to women, there were 211 (95% CI: 145-278) additional deaths per 10 000 in men within 5 years following diagnosis. We estimated that 44% of this gap would be reduced by a hypothetical intervention shifting the distribution of melanoma thickness in men to be the same as that observed for women (IIEthickness RD 93 [95% CI: 75-118] per 10 000) and 20% by an intervention on tumour site (head and neck/trunk vs upper limb/lower limb; IIEsite RD 42 [95% CI: 15-72] per 10 000), while an intervention on age at diagnosis would have a negligible effect. Tumour thickness, tumour site and age at diagnosis mediated 65% of the effect of sex on 5-year melanoma survival in Victoria. Of these factors, tumour thickness had the most considerable mediating effect, suggesting that effective promotion of earlier detection of melanoma in men could potentially nearly halve the gap in melanoma-specific survival by sex.

Implementing the European code of cancer practice in rural settings

Existing evidence often indicates higher cancer incidence and mortality rates, later diagnosis, lower screening uptake and poorer long-term survival for people living in rural compared to more urbanised areas. Despite wide inequities and variation in cancer care and outcomes across Europe, much of the scientific literature explicitly exploring the impact of rurality on cancer continues to come from Australia and North America. The European Code of Cancer Practice or "The Code" is a citizen and patient-centred statement of the most salient requirements for good clinical cancer practice and has been extensively co-produced by cancer patients, cancer professionals and patient advocates. It contains 10 key overarching Rights that a cancer patient should expect from their healthcare system, regardless of where they live and has been strongly endorsed by professional and patient cancer organisations as well as the European Commission. In this article, we use these 10 fundamental Rights as a framework to argue that (i) the issues and needs identified in The Code are generally more profound for rural people with cancer; (ii) addressing these issues is also more challenging in rural contexts; (iii) interventions and support must explicitly account for the unique needs of rural residents living with and affected by cancer and (iv) new innovative approaches are urgently required to successfully overcome the challenges faced by rural people with cancer and their caregivers. Despite equitable healthcare being a key European policy focus, the needs of rural people living with cancer have largely been neglected.

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

INTRODUCTION

Rural-urban discrepancies in care and outcomes for kidney cancer (KCa) in the United States remains poorly understood. Our study aims to improve our understanding of the influence of rurality on KCa outcomes in the United States by analyzing differences in presentation, treatment, and mortality between urban areas (UAs) and rural areas (RAs) in the Surveillance, Epidemiology, and End Results (SEERs) database.

METHODS

SEERs data was queried from 2000 to 2019 for KCa patients. Patient counties were classified as UAs, rural adjacent areas (RAAs), or rural nonadjacent areas (RNAs) using Rural Urban Continuum Codes. Demographic, tumor characteristics, and treatment variables were compared. Propensity score matching was performed to create matched UA-RAA and UA-RNA cohorts. Multivariate regression evaluated rural-urban status as a predictor of treatment selection. Multivariate cox regression assessed the predictive value of rural-urban status for overall survival (OS) and cancer-specific survival (CSS). Kaplan-Meier analysis was used to generate survival curves for OS and CSS.

RESULTS

179,509 KCa patients were identified (UA = 87.0%, RAA = 7.7%, RNA = 5.3%). Patients in RAs were more likely to present with tumors of higher grade and stage than UAs. Following multivariate analysis, rural residency predicted undergoing nephrectomy (RAA: OR = 1.177, RNA: OR = 1.210) but was a negative predictor of receiving partial nephrectomy (RAA: OR = 0.744, RNA: OR = 0.717), all P < 0.001. Multivariate cox regression demonstrated that RAA or RNA residency was predictive of overall and cause-specific mortality. After matching, median OS was 151, 124, and 118 months for UA, RAA, and RNA cohorts respectively; mean CSS was 152, 147, and 144 months for UA, RAA, and RNA cohorts, respectively, all P < 0.001. Stage-specific analysis of CSS demonstrated significantly poorer CSS among RNA patients for localized, regionalized, and distant KCa after matching. Only RAA patients with localized KCa experienced significantly lower CSS than UA patients.

CONCLUSIONS

Patients in RAs are more likely to present with advanced KCa at diagnosis compared to those in UAs and may also experience different treatment options including a lesser likelihood of undergoing partial nephrectomy. Rural patients with KCa also demonstrated significantly worse OS and CSS compared to their urban counterparts. Further patient-level studies are required to better understand the discrepancy in CSS between urban and rural patients diagnosed with KCa.

A systematic review on the qualitative experiences of people living with lung cancer in rural areas

PURPOSE

To synthesize the qualitative literature exploring the experiences of people living with lung cancer in rural areas.

METHODS

Searches were performed in MEDLINE, CINAHL, and PsycINFO. Articles were screened independently by two reviewers against pre-determined eligibility criteria. Data were synthesized using Thomas and Harden's framework for the thematic synthesis of qualitative research. The CASP qualitative checklist was used for quality assessment and the review was reported in accordance with the ENTREQ and PRISMA checklists.

RESULTS

Nine articles were included, from which five themes were identified: (1) diagnosis and treatment pathways, (2) travel and financial burden, (3) communication and information, (4) experiences of interacting with healthcare professionals, (5) symptoms and health-seeking behaviors. Lung cancer diagnosis was unexpected for some with several reporting treatment delays and long wait times regarding diagnosis and treatment. Accessing treatment was perceived as challenging and time-consuming due to distance and financial stress. Inadequate communication of information from healthcare professionals was a common concern expressed by rural people living with lung cancer who also conveyed dissatisfaction with their healthcare professionals. Some were reluctant to seek help due to geographical distance and sociocultural factors whilst others found it challenging to identify symptoms due to comorbidities.

CONCLUSIONS

This review provides a deeper understanding of the challenges faced by people with lung cancer in rural settings, through which future researchers can begin to develop tailored support to address the existing disparities that affect this population.

Sociodemographic characteristics and their association with survival in women with cervical cancer

BACKGROUND

In 2020, the highest incidence and mortality from cervical cancer (CC) were detected in low and middle-income countries. CC remains a health problem for women living in them. In Mexico, CC ranks second in cancer incidence and mortality in women. The main characteristics of this population are low income, low educational level, and inadequate medical coverage. The present study characterized the Mexican population by CC, and the sociodemographic variables that impacted overall survival (OS) were identified.

METHODS

A retrospective study that included a cohort of patients with a confirmed diagnosis of CC at the Instituto Nacional de Cancerologia between 2003 and 2016. Information was collected on sociodemographic variables related to the disease and OS.

RESULTS

Four thousand six hundred thirty-one patients were included. The median age was 51 years, 78.5% were unemployed, 44.4% lived in a rural/suburban area, 50.8% had a partner when collecting this information, and 74.3% were classified as having low socioeconomic status. Age, living in a rural/suburban area, more advanced stages of the disease, and not receiving cancer treatment were associated with lower OS.

CONCLUSION

CC continues to affect mainly women with minimal resources, low educational levels, and living in marginalized areas. These characteristics influence the OS. Prevention and timely detection programs, education, and training focused on this population and with broader coverage are required to identify patients with CC at earlier stages.

The interplay of financial toxicity, health care team communication, and psychosocial well-being among rural cancer patients and survivors

BACKGROUND

Financial toxicity contributes to psychosocial distress among cancer patients and survivors. Yet, contextual factors unique to rural settings affect patient experiences, and a deeper understanding is needed of the interplay between financial toxicity and health care team communication and its association with psychosocial well-being among rural oncology patients.

PURPOSE

We examined associations between financial toxicity and psychosocial well-being among rural cancer patients, exploring variability in these linkages by health care team communication.

METHODS

Using data from 273 rural cancer patients who participated in Cancer Support Community's Cancer Experience Registry, we estimated multivariable regression models predicting depression, anxiety, and social function by financial toxicity, health care team communication, and the interplay between them.

RESULTS

We demonstrate robust associations between financial toxicity and psychosocial outcomes among our sample of rural cancer patients and survivors. As financial toxicity increased, symptoms of depression and anxiety increased. Further, financial toxicity was linked with decreasing social function. Having health care team conversations about treatment costs and distress-related care reduced the negative impact of financial toxicity on depressive symptoms and social function, respectively, in rural cancer patients at greatest risk for financial burden.

CONCLUSIONS

Financial toxicity and psychosocial well-being are strongly linked, and these associations were confirmed in a rural sample. A theorized buffer to the detrimental impacts of financial toxicity-health care team communication-played a role in moderating these associations. Our findings suggest that health care providers in rural oncology settings may benefit from tools and resources to bolster communication with patients about costs, financial distress, and coordination of care.

The impact of travel time to cancer treatment centre on post-diagnosis care and mortality among cancer patients in Scotland

Limited data exist on the effect of travelling time on post-diagnosis cancer care and mortality. We analysed the impact of travel time to cancer treatment centre on secondary care contact time and one-year mortality using a data-linkage study in Scotland with 17369 patients. Patients with longer travelling time and island-dwellers had increased incidence rate of secondary care cancer contact time. For outpatient oncology appointments, the incidence rate was decreased for island-dwellers. Longer travelling time was not associated with increased secondary care contact time for emergency cancer admissions or time to first emergency cancer admission. Living on an island increased mortality at one-year. Adjusting for cancer-specific secondary care contact time increased the hazard of death, and adjusting for oncology outpatient time decreased the hazard of death for island-dwellers. Those with longer travelling times experience the cancer treatment pathway differently with poorer outcomes. Cancer services may need to be better configured to suit differing needs of dispersed populations.

Survival of 48866 cancer patients: results from Nantong area, China

Objective

This study aimed to provide a realistic observation of survival by major site for 48,866 cancer patients treated at a tertiary cancer hospital in a rural area of China.

Methods

Patients with cancer registered between 2007 and 2017 in the Nantong rural area were followed up. The starting date for survival calculation was the date of the first diagnosis of cancer at the Nantong Tumor Hospital, and the closing date was December 31, 2020. Observed survival (OS) was analyzed according to ICD-10 site, sex, age, region, and hospitalization period using the life table method and compared using the Wilcoxon (Gehan) statistic.

Results

The overall 5-year OS rate was 40.48% for all 48,866 patients, 30.19% for males, and 51.90% for females. The top five cancer sites, accounting for 60.51% of the total cases, were the esophagus, lung, stomach, liver, and cervix, with 5-year OS rates of 33.72%, 18.64%, 32.10%, 19.04%, and 71.51%, respectively. The highest 5-year OS was observed in the thyroid (87.52%) and the lowest was in the pancreas (6.37%). Survival was significantly higher in younger patients than in older patients, with 5-year OSs of 69.26% and 19.84% in those aged 20-29 and 90-99 years, respectively. Five-year OSs improved significantly from 39.35% in 2007-2011 to 41.26% in 2012-2017.

Conclusion

Overall survival improved over the years, although the improvement at some sites was not significant. The observed survival varies from region to region, reflecting differences in the patterns of major sites, disparities in proportions of hospitalization, and demographic characteristics.

The contribution of prognostic factors to socio-demographic inequalities in breast cancer survival in Victoria, Australia

BACKGROUND

Breast cancer survival in Australia varies according to socio-economic status (SES) and between rural and urban places of residence. Part of this disparity may be due to differences in prognostic factors at the time of diagnosis.

METHODS

Women with invasive breast cancer diagnosed from 2008 until 2012 (n = 14,165) were identified from the Victorian Cancer Registry and followed up for 5 years, with death from breast cancer or other causes recorded. A prognostic score, based on stage at diagnosis, cancer grade, whether the cancer was detected via screening, reported comorbidities and age at diagnosis, was constructed for use in a mediation analysis.

RESULTS

Five-year breast cancer mortality for women with breast cancer who were in the lowest quintile of SES (10.3%) was almost double that of those in the highest quintile (5.7%). There was a small survival advantage (1.7% on average, within each socio-economic quintile) of living in inner-regional areas compared with major cities. About half of the socio-economic disparity was mediated by prognostic factors, particularly stage at diagnosis and the presence of comorbidities. The inner-regional survival advantage was not due to differences in prognostic factors.

CONCLUSIONS

Part of the socio-economic disparity in breast cancer survival could be addressed by earlier detection in, and improved general health for, more disadvantaged women. Further research is required to identify additional causes of socio-economic disparities as well as the observed inner-regional survival advantage.

The impact of distance traveled and rurality on the clinical course of head and neck cancer

Objective

To explore the relationship between distance traveled and rurality to clinical timepoints and 2-year disease free survival (DFS) in newly diagnosed HNC patients.

Methods

This study was conducted through retrospective analysis, with key independent variables including distance to academic medical center and rurality score. To better understand delays in care, the sample was divided into two groups based on an optimal treatment timeline. We then assessed for the impact of distance traveled.

Results

A higher proportion of patients in the optimal treatment timeline group resided in metropolitan areas, which also had a lower mean index of medically underserviced score. Patients in this group had a shorter duration from first presentation for HNC to presentation to an academic medical center and a shorter duration from referral to presentation. However, there was no significant difference in 2-year DFS between the groups. Those who lived closest to Upstate were more likely to identify as Black. Those who live in suburban communities around Upstate were most likely to initiate treatment within 1 month of presentation. Those who live farthest from Upstate were the least likely to have an HPV-negative cancer of the head and neck, and more likely to receive surgery as part of treatment and to receive a biopsy prior to presenting to Upstate.

Conclusions

Despite differences in distance traveled and rurality between communities, there was no impact on 2-year DFS. Together, we suggest that these findings support that socioeconomic and patient factors, instead of travel distance alone, impact HNC workup patterns.

Level of Evidence

Level III.

Effect of residence in nonmetropolitan counties on stage and tumor size at diagnosis in patients with breast cancer: A Surveillance, Epidemiology, and End Results analysis

OBJECTIVE

The aim of this study was to assess the influence of residence in nonmetropolitan versus metropolitan counties on stage and tumor size at diagnosis in patients with breast cancer in the United States.

METHODS

Women with a primary diagnosis of breast cancer between 2010 and 2015 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Logistic regression was used to model the effect of residence in nonmetropolitan counties on cancer stage and tumor size, adjusted for age, marital status, and 2 county-level socioeconomic variables.

RESULTS

The final sample included 267,691 patients. More patients were diagnosed at advanced stages (III-IV vs I-II: 51.11% vs 50.21%) and with larger tumors (>2 cm vs < = 2 cm: 47.62% vs 46.77%) in nonmetropolitan counties. After adjustment, residence in nonmetro counties was not associated with advanced stage at diagnosis (OR = 0.987; 95% CI: 0.959-1.015) or tumor size >2 cm at diagnosis (OR = 0.997; 95% CI: 0.969-1.026). In stratified analysis by race/ethnicity, however, non-Hispanic White patients in nonmetropolitan counties were significantly more likely to have an advanced stage (OR = 1.035, 95% CI: 1.003-1.068) and tumor sizes >2 cm (OR = 1.051; 95% CI: 1.018-1.084) at diagnosis.

CONCLUSIONS

Residence in nonmetropolitan counties in the United States was not associated with advanced stage or tumor size >2 cm at diagnosis in cases of breast cancer, compared to the residence in metropolitan counties. However, among non-Hispanic White females, residence in nonmetropolitan counties was associated with significantly higher odds of having an advanced stage and a tumor size >2 cm at diagnosis.

Cancer survival differentials for Aboriginal and Torres Strait Islander peoples in Queensland: the impact of remoteness

PURPOSE

In Australia, Aboriginal and Torres Strait Islander peoples (First Nations population) often have low overall cancer survival, as do all residents of geographically remote areas. This study aimed to quantify the survival disparity between First Nations and other Queenslanders for 12 common cancer types by remoteness areas.

METHODS

For all Queensland residents aged 20-89 years diagnosed with a primary invasive cancer during 1997-2016, we ran flexible parametric survival models incorporating age, First Nations status, sex, diagnosis time period, area-level socioeconomic status, remoteness categories and where appropriate, broad cancer type. Three survival measures were predicted: cause-specific survival, survival differences and the comparative survival ratio, each standardised to First Nations peoples' covariate distributions.

RESULTS

The standardised five-year cause-specific cancer survival was 60% for urban First Nations and 65% for other Queenslanders, while remote residents were 54% (First Nations) and 58% (other). The absolute survival differential between First Nations and other Queenslanders was often similar, regardless of remoteness of residence. The greatest absolute difference in five-year standardised cancer survival was for head and neck cancers, followed by cervical cancer. The five-year comparative survival ratio (First Nations: other Queenslanders) for urban cancer patients was 0.91 (95% CI 0.90-0.93), similar to outer regional, inner regional and remote areas. The greatest comparative survival differential was for oesophageal cancer.

CONCLUSION

First Nations' survival inequalities are largely independent of geographical remoteness. It remains a priority to determine the contribution of other potential factors such as the availability of culturally acceptable diagnostic, management and/or support services.

A Rapid Systematic Review on the Experiences of Cancer Survivors Residing in Rural Areas during the COVID-19 Pandemic

The COVID-19 pandemic has caused considerable disruption to cancer care and may have exacerbated existing challenges already faced by cancer survivors from rural areas. This has created a need for a rapid evidence synthesis to inform the development of tailored interventions that address the specific needs of rural cancer survivors who continue to be affected by the pandemic. The review was conducted following guidance from the Cochrane Rapid Review Methods Group. Database searches were performed via the EBSCOHost interface (includes MEDLINE, CINAHL, PsycINFO) on 25 May 2022 and supplemented with searches on Google Scholar. Peer-reviewed articles published after March 2020 that reported primary data on the experiences of cancer survivors residing in rural and remote settings during the pandemic were included. Findings were tabulated and written up narratively. Fourteen studies were included. The COVID-19 pandemic had a mostly detrimental impact on the experiences of rural cancer survivors. People's individual coping mechanisms were challenging for a range of reasons. Specifically, the pandemic impacted on their ability to access testing, treatment, check-ups and supportive care, their ability to maintain and access social support with close friends and family, as well as negative consequences to their finances and emotional wellbeing with some reporting feelings of psychological distress including depression and anxiety. This review provides important insight into the experiences of rural cancer survivors that may help inform tailored support in line with the needs and challenges faced because of the pandemic.

Socioeconomic disadvantage and its impact on colorectal cancer in Australia: a scoping review

BACKGROUND

Social disparities in cancer survival have been demonstrated in Australia despite a universal healthcare insurance system. Colorectal cancer is common, and reasons for survival disparities related to socioeconomic status need to be investigated and addressed. The aim is to evaluate the current Australian literature concerning the impact of socioeconomic status on colorectal cancer survival and stage at presentation.

METHODS

A systematic search of PUBMED, EMBASE, SCOPUS and Clarivate Web of Science databases from January 2010 to March 2022 was performed. Studies investigating the impact of socioeconomic status on colorectal stage at presentation or survival in Australia were included. Data were extracted on author, year of publication, state or territory of origin, patient population, other exposure variables, outcomes and findings and adjustments made.

RESULTS

Of the 14 articles included, the patient populations examined varied in size from 207 to 100 000+ cases. Evidence that socioeconomic disadvantage was associated with poorer survival was demonstrated in eight of 12 studies. Evidence of effect on late stage at presentation was demonstrated in two of seven studies. Area-level measures were commonly used to assess socioeconomic status, with varying indices utilized.

CONCLUSION

There is limited evidence that socioeconomic status is associated with late-stage at presentation. More studies provide evidence of an association between socioeconomic disadvantage and poorer survival, especially larger studies utilizing less clinically-detailed cancer registry data. Further investigation is required to analyse why socioeconomic disadvantage may be associated with poorer survival.

Identification of Disparities in Personalized Cancer Care-A Joint Approach of the German WERA Consortium

Simple Summary

In Molecular Tumor Boards (MTBs), clinicians and researchers discuss the biology of tumor samples from individual patients to find suitable therapies. MTBs have therefore become key elements of precision oncology programs. Patients living in urban areas with specialized medical centers can easily access MTBs. Dedicated efforts are necessary to also grant equal access for patients from rural areas. To address this challenge, the four German cancer centers in Würzburg, Erlangen, Regensburg and Augsburg collectively measured the regional efficacy of their MTBs. By jointly analyzing the residences of all MTB patients, we uncovered regional differences in our mostly rural catchment area. Mapping and further understanding these local differences—especially the underrepresented white spots—will help resolving inequalities in patient access to precision oncology. Our study represents a hands-on approach to assessing the regional efficacy of a precision oncology program. Moreover, this approach is transferable to other regions and clinical applications.

Abstract

(1) Background: molecular tumor boards (MTBs) are crucial instruments for discussing and allocating targeted therapies to suitable cancer patients based on genetic findings. Currently, limited evidence is available regarding the regional impact and the outreach component of MTBs; (2) Methods: we analyzed MTB patient data from four neighboring Bavarian tertiary care oncology centers in Würzburg, Erlangen, Regensburg, and Augsburg, together constituting the WERA Alliance. Absolute patient numbers and regional distribution across the WERA-wide catchment area were weighted with local population densities; (3) Results: the highest MTB patient numbers were found close to the four cancer centers. However, peaks in absolute patient numbers were also detected in more distant and rural areas. Moreover, weighting absolute numbers with local population density allowed for identifying so-called white spots—regions within our catchment that were relatively underrepresented in WERA MTBs; (4) Conclusions: investigating patient data from four neighboring cancer centers, we comprehensively assessed the regional impact of our MTBs. The results confirmed the success of existing collaborative structures with our regional partners. Additionally, our results help identifying potential white spots in providing precision oncology and help establishing a joint WERA-wide outreach strategy.

A rural-urban comparison of self-management in people living with cancer following primary treatment: A mixed methods study

OBJECTIVE

To investigate and compare self-management in people living with cancer following treatment, from rural and urban areas in the United Kingdom where there is a significant evidence gap.

METHODS

A cross-sectional explanatory sequential mixed methods design. This involved a self-completion questionnaire that collected data on demographics, self-management using the PAM-13 and rural-urban residence and 34 in-depth interviews that aimed to explore and compare the barriers and facilitators to self-management in rural and urban settings.

RESULTS

227 participants completed the questionnaire: mean age 66.86 (±11.22). Fifty-two percent (n = 119) were female and 48% (n = 108) were male. Fifty-three percent (n = 120) resided in urban areas and 45 % (n = 103) in rural areas. Participants had a range of different types of cancer but the three most common were breast (n = 73), urological (n = 53), upper and lower gastrointestinal (n = 41). Rural respondents (63.31 ± 13.66) were significantly (p < 0.05) more activated than those in urban areas (59.59 ± 12.75). The barriers and facilitators to self-management identified in the interviews were prevalent in both rural and urban settings but some barriers were more explicit in rural settings. For example, there was a lack of bespoke support in rural areas and participants acknowledged how travelling long distances to urban centres for support groups was problematic. Equally, there were barriers and facilitators that were not necessarily unique to either geographic setting.

CONCLUSION

Whilst the active treatment phase can present considerable challenges for people living with cancer in rural areas the findings suggest that the rural environment has the potential to increase engagement with self-management in the transition to survivorship. The rigorous mixed methods design has led to different and complementary conclusions that would not have been possible had either quantitative or qualitative methods been used in isolation.

Explaining regional variations in colon cancer survival in Ontario, Canada: a population-based retrospective cohort study

OBJECTIVES

Regional variation in cancer survival is an important health system performance measurement. We evaluated if regional variation in colon cancer survival may be driven by differences in the patient population, their health and healthcare utilisation, and/or cancer care delivery.

DESIGN

Population-based retrospective cohort study using routinely collected linked health administrative data.

SETTING

Ontario, Canada.

PARTICIPANTS

Patients with colon cancer diagnosed between 1 January 2009 and 31 December 2012.

OUTCOME

Cancer-specific survival was compared across the province's 14 health regions. Using accelerated failure time models, we assessed whether regional survival variations were mediated through differences in case mix, including age, sex, comorbidities, stage at diagnosis and colon subsite, potential marginalisation and/or prediagnosis healthcare.

RESULTS

The study population included 16 895 patients with colon cancer. There was statistically significant regional variation in cancer-specific survival. Three regions had cancer-specific survival that was between 30% (95% CI 1.03 to 1.65) and 39% (95% CI 1.13 to 1.71) longer and one region had cancer-specific survival that was 26% shorter (95% CI 0.58 to 0.93) than the reference region. For three of these regions, case mix explained between 26% and 56% of the survival variation. Further adjustment for rurality explained 22% of the remaining survival variation in one region. Adjustment for continuity of primary care and the diagnostic interval length explained 10% and 11% of the remaining survival variation in two other regions. Socioeconomic marginalisation, recent immigration and colonoscopy history did not explain colon cancer survival variation.

CONCLUSIONS

Case mix accounted for much of the regional variation in colon cancer survival, indicating that efforts to monitor the quality of cancer care through survival metrics should consider case mix when reporting regional survival differences. Future work should repeat this approach in other settings and other cancer sites considering a broad range of potential mediators.

Impact of Rural vs. Urban Residence on Survival Rates of Patients with Glioblastoma: A Tertiary Care Center Experience

Purpose: Although the association between residential location and survival in patients with different cancer types has been established, the conclusions are contentious, and the underlying mechanisms remain unknown. Here, we reviewed the impact of residence on the survival of patients with glioblastoma (GBM). Methods: We conducted a retrospective study to compare the impact of rural and urban residence on the survival rates of patients with GBM diagnosed in Riyadh City and outside Riyadh. All patients in this study were treated in a tertiary care hospital, and their survival rates were analyzed in relation to their residence and other related factors, namely radiotherapy timing. Results: Overall, 125 patients were included: 61 from Riyadh City and 64 from outside. The majority of patients in both groups were aged >50 years (p = 0.814). There was no statistically significant difference between the groups in the Eastern Cooperative Oncology Group Performance Status (p = 0.430), seizure (p = 0.858), or initiation timing of radiotherapy (p = 0.781). Furthermore, the median survival rate in the Riyadh group versus the other group was 14.4 months and 12.2 months, respectively, with no statistical significance (p = 0.187). Conclusions: Our study showed that residential location had no significant effect on GBM prognosis. However, further studies with a larger sample size are required to delineate the other factors of referral within the healthcare system to facilitate the management of these patients within a specific timeframe.

Rural-urban gradients and all-cause, cardiovascular and cancer mortality in Spain using individual data

•

The literature reporting on rural-urban health status disparities remains inconclusive.

•

We analyzed data from a longitudinal population-based study using individual observations.

•

Our results show that the risks of all-cause and cancer mortality are greater in large cities than in other municipalities, with no clear urban-rural gradient.

•

Not differences were found among territories in cardiovascular mortality.

An Exploration of Rural-Urban Residence on Self-Reported Health Status with UK Cancer Survivors Following Treatment: A Brief Report

Objective: To explore the effect of rural−urban residence on the self-reported health status of UK cancer survivors following primary treatment. Design: A post-positivist approach utilizing a cross-sectional survey that collected data on demographics, postcode and self-reported health status. Methods: An independent samples t test was used to detect differences in health status between rural and urban respondents. Pearson’s χ2 was used to control for confounding variables and a multivariate analysis was conducted using Stepwise linear regression. Setting: East Midlands of England. Participants: Adult cancer survivors who had undergone primary treatment in the last five years. Participants were excluded if they had recurrence or metastatic spread, started active oncology treatment in the last twelve months, and/or were in receipt of palliative or end-of-life care. Main outcome: Residence was measured using the UK Office for National Statistics (ONS) RUC2011 Rural−Urban Classifications and Health Status via the UK ONS self-reported health status measure. Ethics: The study was reviewed and approved (Ref: 17/WS/0054) by an NHS Research Ethics Committee and the Health Research Authority (HRA) prior to recruitment and data collection taking place. Results: 227 respondents returned a questionnaire (response rate 27%). Forty-five percent (n = 103) were resident in a rural area and fifty-three percent (n = 120) in an urban area. Rural (4.11 ± 0.85) respondents had significantly (p < 0.001) higher self-reported health statuses compared to urban (3.65 ± 0.93) respondents (MD 0.47; 95% CI 0.23, 0.70). Conclusion: It is hoped that the results will stimulate further work in this area and that researchers will be encouraged to collect data on rural−urban residency where appropriate.

Recovery of Health and Wellbeing in Rural Cancer Survivors Following Primary Treatment: Analysis of UK Qualitative Interview Data

Purpose: Rural cancer survivors have poorer experiences and health outcomes compared to their urban counterparts. There is limited research on the post-treatment experiences of UK cancer survivors residing in rural areas. This study aimed to provide an understanding of the specific challenges and opportunities faced by rural cancer survivors and to provide insight into how rurality influences experiences post-primary treatment, ultimately to inform service provision. Methods: A secondary analysis of in-depth interview transcripts (n = 16) from a wider study on self-management in cancer survivors was conducted. An adapted version of Foster and Fenlon’s recovery of health and wellbeing in cancer survivorship framework informed the data coding. Results: Health and wellbeing were interrupted by a variety of problem incidents, and the subsequent steps to recovery were influenced by pre-existing, personal, environmental, and healthcare factors. A prominent theme was support, both from local communities and family as well as from healthcare professionals, with many survivors feeling that their rural setting had a positive influence on their health and wellbeing. Close relationships with local GPs were seen as fundamental to supporting recovery. Access to healthcare was frequently mentioned as a challenge with an emphasis on lengthy travel times and limited bespoke support in rural areas. Conclusions: This study is novel in that it applied a well-established theoretical framework to a rich qualitative dataset on the lived experiences of rural cancer survivors. Rural residency influenced recovery from cancer both positively and negatively. Implications for Cancer Survivors: Future practitioners and policy makers should consider working with local communities to tailor interventions to the specific characteristics of the rural environment.

Improving Access to Cancer Treatment Services in Australia’s Northern Territory—History and Progress

Cancer is the leading cause of death in the Northern Territory (NT), Australia’s most sparsely populated jurisdiction with the highest proportion of Aboriginal people. Providing cancer care to the NT’s diverse population has significant challenges, particularly related to large distances, limited resources and cultural differences. This paper describes the developments to improve cancer treatment services, screening and end-of-life care in the NT over the past two decades, with a particular focus on what this means for the NT’s Indigenous peoples. This overview of NT cancer services was collated from peer-reviewed literature, government reports, cabinet papers and personal communication with health service providers. The establishment of the Alan Walker Cancer Care Centre (AWCCC), which provides radiotherapy, chemotherapy and other specialist cancer services at Royal Darwin Hospital, and recent investment in a PET Scanner have reduced patients’ need to travel interstate for cancer diagnosis and treatment. The new chemotherapy day units at Alice Springs Hospital and Katherine Hospital and the rapid expansion of tele-oncology have also reduced patient travel within the NT. Access to palliative care facilities has also improved, with end-of-life care now available in Darwin, Alice Springs and Katherine. However, future efforts in the NT should focus on increasing and improving travel assistance and support and increasing the availability of appropriate accommodation; ongoing implementation of strategies to improve recruitment and retention of health professionals working in cancer care, particularly Indigenous health professionals; and expanding the use of telehealth as a means of delivering cancer care and treatment.

Impact of the COVID-19 pandemic on rural and urban cancer patients' experiences, health behaviors, and perceptions

Purpose

The COVID‐19 pandemic has disrupted many facets of life. We evaluated pandemic‐related health care experiences, COVID‐19 prevention behaviors and measures, health behaviors, and psychosocial outcomes among rural and urban cancer patients.

Methods

Among 1,472 adult cancer patients, who visited Huntsman Cancer Institute in the past 4 years and completed a COVID‐19 survey (August‐September 2020), we assessed the impact of the pandemic on medical appointments, prevention/health behaviors, and psychosocial factors, stratified by urbanicity.

Findings

Mean age was 61 years, with 52% female, 97% non‐Hispanic White, and 27% were residing in rural areas. Rural versus urban patients were more likely to be older, not employed, uninsured, former/current smokers, consume alcohol, and have pandemic‐related changes/cancellations in surgery appointments (all P<.05). Changes/cancellations in other health care access (eg, doctor's visits) were also common, particularly among urban patients. Urban versus rural patients were more likely to socially distance, use masks and hand sanitizer, and experience changes in exercise habits and in their daily lives (all P<.05). Less social interaction and financial stress were common among cancer patients but did not differ by urbanicity.

Conclusions

These findings suggest that the COVID‐19 pandemic had a substantial impact on cancer patients, with several challenges specific to rural patients. This comprehensive study provides unique insights into the first 6 months of COVID‐19 pandemic‐related experiences and continuity of care among rural and urban cancer patients predominantly from Utah. Further research is needed to better characterize the pandemic's short‐ and long‐term effects on rural and urban cancer patients and appropriate interventions.

Defining research and infrastructure priorities for cancer survivorship in Australia: a modified Delphi study

PURPOSE

The aim of this study was to establish research and infrastructure priorities for cancer survivorship.

METHODS

A two-round modified online Delphi study was completed by Australian experts in cancer survivorship. Initial priorities were generated from the literature and organized into four research categories: physiological outcomes, psychosocial outcomes, population groups, and health services; and one research infrastructure category. In round 1 (R1), panelists ranked the importance of 77 items on a five-point scale (not at all important to very important). In round 2 (R2), panelists ranked their top 5 priorities within each category. Panelists also specified the type of research needed, such as biological, exploratory, intervention development, or implementation, for the items within each research category.

RESULTS

Response rates were 76% (63/82) and 82% (68/82) respectively. After R1, 12 items were added, and 16 items combined or reworded. In R2, the highest prioritized research topics and the preferred type of research in each category were: biological research in cancer progression and recurrence; implementation and dissemination research for fear of recurrence; exploratory research for rare cancer types; and implementation research for quality of care topics. Data availability was listed as the most important priority for research infrastructure.

CONCLUSIONS

This study has defined priorities that can be used to support coordinated action between researchers, funding bodies, and other key stakeholders. Designing future research which addresses these priorities will expand our ability to meet survivors' diverse needs and lead to improved outcomes.

Socio-Economic Inequalities in Lung Cancer Outcomes: An Overview of Systematic Reviews

In the past decade, evidence has accumulated about socio-economic inequalities in very diverse lung cancer outcomes. To better understand the global effects of socio-economic factors in lung cancer, we conducted an overview of systematic reviews. Four databases were searched for systematic reviews reporting on the relationship between measures of socio-economic status (SES) (individual or area-based) and diverse lung cancer outcomes, including epidemiological indicators and diagnosis- and treatment-related variables. AMSTAR-2 was used to assess the quality of the selected systematic reviews. Eight systematic reviews based on 220 original studies and 8 different indicators were identified. Compared to people with a high SES, people with a lower SES appear to be more likely to develop and die from lung cancer. People with lower SES also have lower cancer survival, most likely due to the lower likelihood of receiving both traditional and next-generation treatments, higher rates of comorbidities, and the higher likelihood of being admitted as emergency. People with a lower SES are generally not diagnosed at later stages, but this may change after broader implementation of lung cancer screening, as early evidence suggests that there may be socio-economic inequalities in its use.

Qualitative analysis of cancer care experiences among rural cancer survivors and caregivers

PURPOSE

Rural (vs urban) patients experience poorer cancer outcomes and are less likely to be engaged in cancer prevention, such as screening. As part of a community needs assessment, we explored rural cancer survivors' and caregivers' experiences, perceptions, and attitudes toward cancer care services.

METHODS

We conducted 3 focus groups (N = 20) in Spring 2021 in rural Nebraska.

FINDINGS

Three patterns of cancer diagnosis were regular care/screening without noticeable symptoms, treatment for symptoms not initially identified as cancer related, and symptom self-identification. Most participants, regardless of how diagnosis was made, had positive experiences with timely referral for testing (imaging and biopsy) and specialist care. Physician interpersonal skills set the tone for patient-provider communication, which colored the perception of overall care. Participants with physicians and care teams that were perceived as "considerate," "compassionate," and "caring" had positive experiences. Participants identified specific obstacles to care, including financial barriers, transportation, and lack of support groups, as well as more general cultural barriers. Survivors and caregivers identified organization-based supports that helped them address such barriers.

CONCLUSIONS

Rural populations have unique perspectives about cancer care. Our results are being used by the state cancer coalition, state cancer control program, and the National Cancer Institute-designated cancer center to prioritize outreach and interventions aimed to reduce rural cancer disparities, such as revitalizing lay cancer navigator programs, conducting webinars for primary care and cancer specialty providers to discuss these findings and identify potential interventions, and collaborating with national and regional cancer support organizations to expand reach in rural communities.

Health-related quality of life in head and neck cancer survivors: Evaluating the rural disadvantage

PURPOSE

Head and neck cancer (HNC) survivors often experience distress and health-related quality of life (HRQOL) impairment. Research suggests that rural cancer patients may have poorer outcomes than urban patients. This study examined whether HNC patient emotional and HRQOL outcomes differ in those living in a rural versus urban location at 6 and 12 months postdiagnosis.

METHODS

A total of 261 HNC patients were included from a longitudinal study of HNC outcomes. The majority were diagnosed with advanced stage cancer (51.3%); the most common cancer site was oral cavity (41.0%). Rurality was measured using the US Department of Agriculture Rural Urban Commuting Area codes. Depression was measured using the Beck Depression Inventory (BDI), general HRQOL using the Short Form-36 (SF-36), and HNC-specific HRQOL using the Head and Neck Cancer Inventory (HNCI). Analyses were 2 (group) × 3 (assessment) repeated measures ANCOVAs, controlling for demographic and clinical characteristics.

FINDINGS

Approximately 45% of the sample lived in a rural location. Follow-up comparisons of significant overall models indicated that rural patients reported significantly more nonsomatic depression symptoms at 6-month follow-up. Rural patients were also more likely to report significantly poorer general mental HRQOL at 12-month follow-up, significantly poorer HNC-specific HRQOL related to eating at 6- and 12-month follow-up, and marginally worse aesthetics at 12-month follow-up.

CONCLUSIONS

These findings are consistent with suggestions that rural HNC patients may be at heightened risk for depression symptoms and decrements in HRQOL. Patients should be screened and regularly monitored for issues with depression and HNC-specific HRQOL throughout the survivorship period.

Patient Assessment: Using the Oncology Nurse Navigator Patient Assessment for Rural and Other Resource-Poor Settings

Oncology nurse navigators (ONNs) rely on assessment tools to identify patient priorities so that care may be expedited along the cancer continuum. Few nonproprietary assessment tools exist for ONNs who work in rural and other resource-poor settings to reliably identify and track patient needs and barriers for seamless and timely oncology care.

The need to study rural cancer outcome disparities at the local level: a retrospective cohort study in Kansas and Missouri

Background

Rural residence is commonly thought to be a risk factor for poor cancer outcomes. However, a number of studies have reported seemingly conflicting information regarding cancer outcome disparities with respect to rural residence, with some suggesting that the disparity is not present and others providing inconsistent evidence that either urban or rural residence is associated with poorer outcomes. We suggest a simple explanation for these seeming contradictions: namely that rural cancer outcome disparities are related to factors that occur differentially at a local level, such as environmental exposures, lack of access to care or screening, and socioeconomic factors, which differ by type of cancer.

Methods

We conducted a retrospective cohort study examining ten cancers treated at the University of Kansas Medical Center from 2011 to 2018, with individuals from either rural or urban residences. We defined urban residences as those in a county with a U.S. Department of Agriculture Urban Influence Code (UIC) of 1 or 2, with all other residences defines a rural. Inverse probability of treatment weighting was used to create a pseudo-sample balanced for covariates deemed likely to affect the outcomes modeled with cumulative link and weighted Cox-proportional hazards models.

Results

We found that rural residence is not a simple risk factor but rather appears to play a complex role in cancer outcome disparities. Specifically, rural residence is associated with higher stage at diagnosis and increased survival hazards for colon cancer but decreased risk for lung cancer compared to urban residence.

Conclusion

Many cancers are affected by unique social and environmental factors that may vary between rural and urban residents, such as access to care, diet, and lifestyle. Our results show that rurality can increase or decrease risk, depending on cancer site, which suggests the need to consider the factors connected to rurality that influence this complex pattern. Thus, we argue that such disparities must be studied at the local level to identify and design appropriate interventions to improve cancer outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12190-w.

Excess Mortality by Multimorbidity, Socioeconomic, and Healthcare Factors, amongst Patients Diagnosed with Diffuse Large B-Cell or Follicular Lymphoma in England

(1) Background: Socioeconomic inequalities of survival in patients with lymphoma persist, which may be explained by patients' comorbidities. We aimed to assess the association between comorbidities and the survival of patients diagnosed with diffuse large B-cell (DLBCL) or follicular lymphoma (FL) in England accounting for other socio-demographic characteristics. (2) Methods: Population-based cancer registry data were linked to Hospital Episode Statistics. We used a flexible multilevel excess hazard model to estimate excess mortality and net survival by patient's comorbidity status, adjusted for sociodemographic, economic, and healthcare factors, and accounting for the patient's area of residence. We used the latent normal joint modelling multiple imputation approach for missing data. (3) Results: Overall, 15,516 and 29,898 patients were diagnosed with FL and DLBCL in England between 2005 and 2013, respectively. Amongst DLBCL and FL patients, respectively, those in the most deprived areas showed 1.22 (95% confidence interval (CI): 1.18-1.27) and 1.45 (95% CI: 1.30-1.62) times higher excess mortality hazard compared to those in the least deprived areas, adjusted for comorbidity status, age at diagnosis, sex, ethnicity, and route to diagnosis. (4) Conclusions: Deprivation is consistently associated with poorer survival among patients diagnosed with DLBCL or FL, after adjusting for co/multimorbidities. Comorbidities and multimorbidities need to be considered when planning public health interventions targeting haematological malignancies in England.

Geographic disparities in Saskatchewan prostate cancer incidence and its association with physician density: analysis using Bayesian models

BACKGROUND

Saskatchewan has one of the highest incidence of prostate cancer (PCa) in Canada. This study assesses if geographic factors in Saskatchewan, including location of where patients live and physician density are affecting the PCa incidence. First, the objective of this study is to estimate the PCa standardized incidence ratio (SIRs) in Saskatchewan stratified by PCa risk-level. Second, this study identifies clusters of higher than and lower than expected PCa SIRs in Saskatchewan. Lastly, this study identifies the association (if any) between family physician density and estimated PCa SIRs in Saskatchewan.

METHODS

First, using Global Moran's I, Local Moran's I, and the Kuldorff's Spatial Scan Statistic, the study identifies clusters of PCa stratified by risk-levels. Then this study estimates the SIRs of PCa and its association with family physician density in Saskatchewan using the Besag, York, and Mollie (BYM) Bayesian method.

RESULTS

Higher than expected clusters of crude estimated SIR for metastatic PCa were identified in north-east Saskatchewan and lower than expected clusters were identified in south-east Saskatchewan. Areas in north-west Saskatchewan have lower than expected crude estimated SIRs for both intermediate-risk and low-risk PCa. Family physician density was negatively associated with SIRs of metastatic PCa (IRR: 0.935 [CrI: 0.880 to 0.998]) and SIRs of high-risk PCa (IRR: 0.927 [CrI: 0.880 to 0.975]).

CONCLUSIONS

This study identifies the geographical disparities in risk-stratified PCa incidence in Saskatchewan. The study identifies areas with a lower family physician density have a higher-than-expected incidences of metastatic and high-risk PCa. Hence policies to increase the number of physicians should ensure an equitable geographic distribution of primary care physicians to support early detection of diseases, including PCa.

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.

Differences between rural and urban prostate cancer patients

BACKGROUND

We hypothesized that the residency status (rural area [RA] vs urban clusters [UC] vs urban areas [UA]) affects stage and cancer-specific mortality (CSM) in contemporary newly diagnosed prostate cancer (PCa) patients of all stages, regardless of treatment.

METHODS

Newly diagnosed PCa patients with available residency status were abstracted from the Surveillance, Epidemiology, and End Results database (2004-2016). Propensity-score (PS) matching, cumulative incidence plots, multivariate competing-risks regression (CRR) models were used.

RESULTS

Of 531,468 PCa patients of all stages, 6653 (1.3%) resided in RA, 50,932 (9.6%) in UC and 473,883 (89.2%) in UA. No statistically significant or clinically meaningful differences in stage at presentation or CSM were recorded. Conversely, 10-year other cause-mortality (OCM) rates were 27.2% vs 23.7% vs 18.9% (p < 0.001) in RA vs UC vs UA patients, respectively. In CRR models, RA (subhazard ratio [SHR] 1.38; p < 0.001) and UC (SHR 1.18; p < 0.001) were independent predictors for higher OCM relative to UA. These differences remained statistically significant in fully PS-adjusted multivariate CRR models.

CONCLUSION

RA, and to a lesser extent UC, PCa patients are at higher risk of OCM than UA patients. Higher OCM may indicate shorter life expectancy and should be considered in treatment decision making.