An exploration of urban and rural differences in lung cancer survival among medicare beneficiaries

Is underutilization of adjuvant therapy in resected non-small-cell lung cancer associated with socioeconomic disparities?

OBJECTIVES

Although adjuvant systemic therapy (AT) has demonstrated improved survival in patients with resected non-small-cell lung cancer (NSCLC), it remains underutilized. Recent trials demonstrating improved outcomes with adjuvant immunotherapy and targeted treatment imply that low uptake of systemic therapy in at-risk populations may widen existing outcome gaps. We, therefore, sought to determine factors associated with the underutilization of AT.

METHODS

The National Cancer Database (2010-2018) was queried for patients with completely resected stage II-IIIA NSCLC and stratified based on the receipt of AT. Logistic regression was used to identify factors associated with AT delivery. The Kaplan-Meier method was applied to estimate survival after propensity-matching to adjust for confounders.

RESULTS

Of 37 571 eligible patients, only 20 616 (54.9%) received AT. While AT rates increased over time, multivariable analysis showed that older age [adjusted odds ratio (aOR) 0.45, 95% confidence interval (CI) 0.43-0.47], male sex (aOR 0.88, 95% CI 0.85-0.93) and multiple comorbidities (aOR 0.86, 95% CI: 0.81-0.91) were associated with decreased AT. Socioeconomic factors were additionally associated with underutilization, including public insurance (aOR 0.70, 95% CI: 0.66-0.74), lower education indicators (aOR 0.93, 95% CI: 0.88-0.97) and living more than 10 miles from a treatment facility (aOR 0.89, 95% CI: 0.85-0.93). After propensity matching, receipt of adjuvant therapy was associated with improved overall survival (median 76.35 vs 47.57 months, P ≤ 0.001).

CONCLUSIONS

AT underutilization in patients with resected stage II-III NSCLC is associated with patient, institutional and socioeconomic factors. It is critical to implement measures to address these inequities, especially in light of newer adjuvant immunotherapy and targeted therapy treatment options which are expected to improve survival.

Representativeness of Patients Enrolled in the Lung Cancer Master Protocol (Lung-MAP)

PURPOSE

Lung Cancer Master Protocol (Lung-MAP), a public-private partnership, established infrastructure for conducting a biomarker-driven master protocol in molecularly targeted therapies. We compared characteristics of patients enrolled in Lung-MAP with those of patients in advanced non-small-cell lung cancer (NSCLC) trials to examine if master protocols improve trial access.

METHODS

We examined patients enrolled in Lung-MAP (2014-2020) according to sociodemographic characteristics. Proportions for characteristics were compared with those for a set of advanced NSCLC trials (2001-2020) and the US advanced NSCLC population using SEER registry data (2014-2018). Characteristics of patients enrolled in Lung-MAP treatment substudies were examined in subgroup analysis. Two-sided tests of proportions at an alpha of .01 were used for all comparisons.

RESULTS

A total of 3,556 patients enrolled in Lung-MAP were compared with 2,215 patients enrolled in other NSCLC studies. Patients enrolled in Lung-MAP were more likely to be 65 years and older (57.2% v 46.3%; P < .0001), from rural areas (17.3% v 14.4%; P = .004), and from socioeconomically deprived neighborhoods (42.2% v 36.7%, P < .0001), but less likely to be female (38.6% v 47.2%; P < .0001), Asian (2.8% v 5.1%; P < .0001), or Hispanic (2.4% v 3.8%; P = .003). Among patients younger than 65 years, Lung-MAP enrolled more patients using Medicaid/no insurance (27.6% v 17.8%; P < .0001). Compared with the US advanced NSCLC population, Lung-MAP under represented patients 65 years and older (57.2% v 69.8%; P < .0001), females (38.6% v 46.0%; P < .0001), and racial or ethnic minorities (14.8% v 21.5%; P < .0001).

CONCLUSION

Master protocols may improve access to trials using novel therapeutics for older patients and socioeconomically vulnerable patients compared with conventional trials, but specific patient exclusion criteria influenced demographic composition. Further research examining participation barriers for under represented racial or ethnic minorities in precision medicine clinical trials is warranted.

Community socioeconomic status and rural/racial disparities in HPV-/+ head and neck cancer

Background

Head and Neck Cancer (HNC) is a major cause of cancer morbidity and mortality in the United States, but the burden is not evenly distributed. Rural and racial disparities are obvious across the HNC continuum. Most HNC disparities research have emphasized individual factors perpetuating rural and racial disparities, ignoring the role of community-level factors.

Methods

We analyzed data from the Surveillance Epidemiology and End Results (SEER) program's "Specialized HNC-Human Papillomavirus (HPV) Census-Tract SES" datafile (2010-2016). In addition to cancer patient characteristics, this data includes a socioeconomic status (SES) quintile based on the patient's census-tract. Our outcome variables included whether the HNC patient 1) was diagnosed at a distant stage, 2) received initial treatment two or more months after diagnosis, 3) received radiation therapy, 4) survived two years after diagnosis. We tested for differences across SES quintiles, in the full sample and then within rural/racial categories. We then tested for differences between each rural/racial category conditional on SES quintile.

Results

For both HPV(-) and HPV + HNCs, patients in higher SES census-tracts have 8-10% lower rates of distant stage diagnoses and delayed treatment initiation, and 12.0-14.5% higher survival rates than patients in lower SES census-tracts. Radiation treatment only varied across SES quintiles in HPV + HNC patients. We find little evidence of rural-urban differences within each socioeconomic quintile. However, within lower SES quintiles, we found significant racial disparities in delayed detection and treatment. These differences were largest in the lowest SES quintile, as non-Hispanic Black patients reported 10-11% higher rates of delayed detection and treatment initiation than non-Hispanic White patients.

Conclusions

Our research illustrates the value and constraints in leveraging community-level factors in health disparities research that can ultimately assist in designing effective policies that address and achieve rural and racial cancer equity.

Designing home-based physical activity programs for rural cancer survivors: A survey of technology access and preferences

Background

While technology advances have increased the popularity of remote interventions in underserved and rural cancer communities, less is understood about technology access and preferences for home-based physical activity programs in this cancer survivor population.

Purpose

To determine access, preferences, and needs, for a home-based physical activity program in rural cancer survivors.

Methods

A Qualtrics Research Panel was recruited to survey adults with cancer across the United States. Participants self-reported demographics, cancer characteristics, technology access and usage, and preferences for a home-based physical activity program. The Godin Leisure Time Exercise Questionnaire (GLTEQ) assessed current levels of physical activity. Descriptive statistics included means and standard deviations for continuous variables, and frequencies for categorical variables. Independent samples t-tests explored differences between rural and non-rural participants.

Results

Participants (N=298; mean age=55.2 ± 16.5) had a history of cancer (mean age at diagnosis=46.5), with the most commonly reported cancer type being breast (25.5%), followed by prostate (16.1%). 74.2% resided in rural hometowns. 95% of participants reported accessing the internet daily. On a scale of 0-100, computer/laptop (M=63.4) and mobile phone (M=54.6) were the most preferred delivery modes for a home-based physical activity intervention, and most participants preferred balance/flexibility (72.2%) and aerobic (53.9%) exercises. Desired intervention elements included a frequency of 2-3 times a week (53.5%) for at least 20 minutes (75.7%). While there were notable rural disparities present (e.g., older age at diagnosis, lower levels of education; ps<.001), no differences emerged for technology access or environmental barriers (ps>.08). However, bias due to electronic delivery of the survey should not be discounted.

Conclusion

These findings provide insights into the preferred physical activity intervention (e.g., computer delivery, balance/flexibility exercises) in rural cancer survivors, while highlighting the need for personalization. Future efforts should consider these preferences when designing and delivering home-based interventions in this population.

Impact of Low-dose Chest CT Screening on the Association Between Rurality and Lung Cancer Outcomes

INTRODUCTION

Lung cancer mortality is higher among rural United States populations compared with nonrural ones. Little is known about screening low-dose chest computed tomography (LDCT) outcomes in rural settings.

MATERIALS AND METHODS

This retrospective cohort study examined all patients (n=1805) who underwent screening LDCT in a prospective registry from March 1, 2015, through December 31, 2019, in a majority-rural health care system. We assessed the proportion of early-stage lung cancers (American Joint Committee on Cancer stage I-II) diagnosed among LDCT-screened patients, and analyzed overall survival after early-stage lung cancer diagnosis according to residency location.

RESULTS

The screening cohort had a median age of 63 and median 40-pack-year smoking history; 62.4% had a rural residence, 51.2% were female, and 62.7% completed only 1 LDCT scan. Thirty-eight patients were diagnosed with lung cancer (2.1% of the cohort), of which 65.8% were early-stage. On multivariable analysis, rural (vs nonrural) residency was not associated with a lung cancer diagnosis (adjusted hazard ratio 1.59; 95% CI, 0.74-3.40; P =0.24). At a median follow-up of 37.1 months (range, 3.3 to 67.2 months), 88.2% of rural versus 87.5% of nonrural patients with screen-diagnosed early-stage lung cancer were alive ( P =0.93).

CONCLUSIONS

In a majority-rural United States population undergoing LDCT, most screen-detected lung cancers were early-stage. There were no significant differences observed between rural and nonrural patients in lung cancer diagnosis rate or early-stage lung cancer survival. Increased implementation of LDCT might blunt the historical association between rural United States populations and worse lung cancer outcomes.

Longitudinal patient-reported outcomes and survival among early-stage non-small cell lung cancer patients receiving stereotactic body radiotherapy

BACKGROUND AND PURPOSE

The study objective was to determine whether longitudinal changes in patient-reported outcomes (PROs) were associated with survival among early-stage, non-small cell lung cancer (NSCLC) patients undergoing stereotactic body radiation therapy (SBRT).

MATERIALS AND METHODS

Data were obtained from January 2015 through March 2020. We ran a joint probability model to assess the relationship between time-to-death, and longitudinal PRO measurements. PROs were measured through the Edmonton Symptom Assessment Scale (ESAS). We controlled for other covariates likely to affect symptom burden and survival including stage, tumor diameter, comorbidities, gender, race/ethnicity, relationship status, age, and smoking status.

RESULTS

The sample included 510 early-stage NSCLC patients undergoing SBRT. The median age was 73.8 (range: 46.3-94.6). The survival component of the joint model demonstrates that longitudinal changes in ESAS scores are significantly associated with worse survival (HR: 1.04; 95% CI: 1.02-1.05). This finding suggests a one-unit increase in ESAS score increased probability of death by 4%. Other factors significantly associated with worse survival included older age (HR: 1.04; 95% CI: 1.03-1.05), larger tumor diameter (HR: 1.21; 95% CI: 1.01-1.46), male gender (HR: 1.87; 95% CI: 1.36-2.57), and current smoking status (HR: 2.39; 95% CI: 1.25-4.56).

CONCLUSION

PROs are increasingly being collected as a part of routine care delivery to improve symptom management. Healthcare systems can integrate these data with other real-world data to predict patient outcomes, such as survival. Capturing longitudinal PROs-in addition to PROs at diagnosis-may add prognostic value for estimating survival among early-stage NSCLC patients undergoing SBRT.

Rural vs urban inequalities in stage at diagnosis for lung cancer

OBJECTIVES

Early diagnosis of lung cancer increases the chance of survival. The aim of this study was to measure the relationship between geographic residence in Saskatchewan and stage of lung cancer at the time of diagnosis.

MATERIALS AND METHODS

Retrospective cohort analysis of 2,972 patients with a primary diagnosis of either non-small cell cancer (NSCLC) or small cell lung cancer (SCLC) between 2007 and 2012 was performed. Incidence proportion of early and advanced stage cancer, and relative risk of being diagnosed with advanced-stage lung cancer relative to early-stage was calculated.

RESULTS

Compared to urban Saskatchewan, rural Saskatchewan lung cancer patients had a higher relative risk of advanced stage NSCLC (relative risk [RR] = 1.11, 95% confidence interval [CI]: 1.01-1.22). Rural Saskatchewan was further subdivided into north and south. The relative risk of advanced stage NSCLC in rural north Saskatchewan compared to urban Saskatchewan was even greater (RR = 1.17, 95% CI: 1.03-1.31). Although not statistically significant, there was a trend for a higher incidence of advanced stage SCLC in rural and rural north vs urban Saskatchewan (RR = 1.16, 95% CI: 0.95-1.43 and RR = 1.22; 95% CI: 0.94-1.58, respectively). There was a higher incidence proportion of advanced stage NSCLC in rural areas relative to urban (31.6-34.4 vs 29.5 per 10,000 people).

CONCLUSION

Patients living in rural Saskatchewan have higher incidence proportion of and were more likely to present with advanced stage NSCLC in comparison to urban Saskatchewan patients at time of diagnosis. This inequality was even greater in rural north Saskatchewan.

Urban-Rural Variations in Quality of Care Among Patients With Cancer in California

INTRODUCTION

Previous research suggests cancer patients living in rural areas have lower quality of care, but population-based studies have yielded inconsistent results. This study examines the impact of rurality on care quality for 7 cancer types in California.

METHODS

Breast, ovarian, endometrial, cervix, colon, lung, and gastric cancer patients diagnosed from 2004 to 2017 were identified in the California Cancer Registry. Multivariable logistic regression and proportional hazards models were used to assess effects of residential location on quality of care and survival. Stratified models examined the impact of treatment at National Cancer Institute designated cancer centers (NCICCs). Quality of care was evaluated using Commission on Cancer measures. Medical Service Study Areas were used to assess urban/rural status. Data were collected in 2004-2019 and analyzed in 2020.

RESULTS

989,747 cancer patients were evaluated, with 14% living in rural areas. Rural patients had lower odds of receiving radiation after breast conserving surgery compared to urban residents. Colon and gastric cancer patients had 20% and 16% lower odds, respectively, of having optimal surgery. Rural patients treated at NCICCs had greater odds of recommended surgery for most cancer types. Survival was similar among urban and rural subgroups.

CONCLUSIONS

Rural residence was inversely associated with receipt of recommended surgery for gastric and colon cancer patients not treated at NCICCs, and for receiving recommended radiotherapy after breast conserving surgery regardless of treatment location. Further studies investigating the impact of care location and availability of supportive services on urban-rural differences in quality of care are warranted.

Neighborhood and Individual Socioeconomic Disadvantage and Survival Among Patients With Nonmetastatic Common Cancers

IMPORTANCE

Disadvantaged neighborhood-level and individual-level socioeconomic status (SES) have each been associated with suboptimal cancer care and inferior outcomes. However, independent or synergistic associations between neighborhood and individual socioeconomic disadvantage have not been fully examined, and prior studies using simplistic neighborhood SES measures may not comprehensively assess multiple aspects of neighborhood SES.

OBJECTIVE

To investigate the associations of neighborhood SES (using a validated comprehensive composite measure) and individual SES with survival among patients with nonmetastatic common cancers.

DESIGN, SETTING, AND PARTICIPANTS

This prospective, population-based cohort study was derived from the Surveillance, Epidemiology, and End Results-Medicare database from January 1, 2008, through December 31, 2011, with follow-up ending on December 31, 2017. Participants included older patients (≥65 years) with breast, prostate, lung, or colorectal cancer.

EXPOSURES

Neighborhood SES was measured using the area deprivation index (ADI; quintiles), a validated comprehensive composite measure of neighborhood SES. Individual SES was assessed by Medicare-Medicaid dual eligibility (yes vs no), a reliable indicator for patient-level low income.

MAIN OUTCOMES AND MEASURES

The primary outcome was overall mortality, and the secondary outcome was cancer-specific mortality. Hazard ratios (HRs) for the associations of ADI and dual eligibility with overall and cancer-specific mortality were estimated via Cox proportional hazards regression. Statistical analyses were conducted from January 23 to April 15, 2021.

RESULTS

A total of 96 978 patients were analyzed, including 25 968 with breast, 35 150 with prostate, 16 684 with lung, and 19 176 with colorectal cancer. Median age at diagnosis was 76 years (IQR, 71-81 years) for breast cancer, 73 years (IQR, 70-77 years) for prostate cancer, 76 years (IQR, 71-81 years) for lung cancer, and 78 years (IQR, 72-84 years) for colorectal cancer. Among lung and colorectal cancer patients, 8412 (50.4%) and 10 486 (54.7%), respectively, were female. The proportion of non-Hispanic White individuals among breast cancer patients was 83.7% (n = 21 725); prostate cancer, 76.8% (n = 27 001); lung cancer, 83.5% (n = 13 926); and colorectal cancer, 81.1% (n = 15 557). Neighborhood-level and individual-level SES were independently associated with overall mortality, and no interactions were detected. Compared with the most affluent neighborhoods (ADI quintile 1), living in the most disadvantaged neighborhoods (ADI quintile 5) was associated with higher risk of overall mortality (breast: HR, 1.34; 95% CI, 1.26-1.43; prostate: HR, 1.51; 95% CI, 1.42-1.62; lung: HR, 1.21; 95% CI, 1.14-1.28; and colorectal: HR, 1.24; 95% CI, 1.17-1.32). Individual socioeconomic disadvantage (dual eligibility) was associated with higher risk of overall mortality (breast: HR, 1.22; 95% CI, 1.15-1.29; prostate: HR, 1.29; 95% CI, 1.21-1.38; lung: HR, 1.14; 95% CI, 1.09-1.20; and colorectal: HR, 1.23; 95% CI, 1.17-1.29). A similar pattern was observed for cancer-specific mortality.

CONCLUSIONS AND RELEVANCE

In this cohort study, neighborhood-level deprivation was associated with worse survival among patients with nonmetastatic breast, prostate, lung, and colorectal cancer, even after accounting for individual SES. These findings suggest that, in order to improve cancer outcomes and reduce health disparities, policies for ongoing investments in low-resource neighborhoods and low-income households are needed.

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.

Social Disparities in Lung Cancer

Social disparities in lung cancer diagnosis, treatment, and survival have been studied using national databases, statewide registries, and institution-level data. Some disparities emerge consistently, such as lower adherence to treatment guidelines and worse survival by race and socioeconomic status, whereas other disparities are less well studied. A critical appraisal of current data is essential to increasing equity in lung cancer care.

A Population-based Study of Treatment Patterns and Survival of Patients With De Novo Stage IV Non-Small Cell Lung Cancer

BACKGROUND

Treatment strategies for metastatic non-small cell lung cancer (NSCLC) are evolving rapidly and can be highly variable. Real-world evidence of treatment patterns and outcomes can provide an understanding of our current practice and offer insights on ways to incorporate emerging therapies into our treatment paradigm. In this population-based study, we investigated treatments and outcomes of stage IV NSCLC patients from a large Canadian province.

METHODS

Patients diagnosed with de novo stage IV NSCLC from April 1, 2010 to March 31, 2015 were identified. Data for baseline characteristics, treatments, and outcomes were obtained from provincial data sources, including the cancer registry and electronic medical records. We classified systemic treatments as chemotherapy, targeted therapy (anti-epidermal growth factor receptor, and anti-anaplastic lymphoma kinase) and immunotherapy (checkpoint inhibitors) and characterized clinical outcomes by treatment type.

RESULTS

A total of 6438 patients were identified with NSCLC, of whom 3606 (56%) had de novo stage IV disease. The median age of diagnosis was 69 (range: 20 to 100) years and 52.4% were men. First-line palliative treatments included: chemotherapy in 19.5% (n=703), targeted agents in 5.7% (n=204), immunotherapy in 1% (n=1), radiotherapy in 6.8% (n=246), and best supportive care in 74.8% (n=2,698). Median overall survival (mOS) from diagnosis for the whole cohort was 3.8 months. Within subgroups, mOS was 18.0 months for targeted therapies, 9.4 months for chemotherapy, and 2.5 months for best supportive care. Only 1.0% of patients (n=34) received immunotherapy at any line.

CONCLUSIONS

Survival benefit was dependent on type of treatment received, with significantly better mOS observed with the use of small-molecule targeted therapy against epidermal growth factor receptor mutations and anaplastic lymphoma kinase rearrangements, as compared with best supportive care.

Psychosocial well-being and supportive care needs of cancer patients and survivors living in rural or regional areas: a systematic review from 2010 to 2021

Purpose

To summarise what is currently known about the psychosocial morbidity, experiences, and needs of people with cancer and their informal caregivers, who live in rural or regional areas of developed countries.

Methods

Eligible studies dating from August 2010 until May 2021 were identified through several online databases, including MEDLINE, EMBASE, PsychINFO, and RURAL (Rural and Remote Health Database). Results were reported according to the PRISMA guidelines and the protocol was registered on PROSPERO (CRD42020171764).

Results

Sixty-five studies were included in this review, including 20 qualitative studies, 41 quantitative studies, and 4 mixed methods studies. Qualitative research demonstrated that many unique psychosocial needs of rural people remain unmet, particularly relating to finances, travel, and accessing care. However, most (9/19) quantitative studies that compared rural and urban groups reported no significant differences in psychosocial needs, morbidity, or quality of life (QOL). Five quantitative studies reported poorer psychosocial outcomes (social and emotional functioning) in urban cancer survivors, while three highlighted poorer outcomes (physical functioning, role functioning, and self-reported mental health outcomes) in the rural group.

Conclusion

Recent research shows that rural people affected by cancer have unique unmet psychosocial needs relating to rurality. However, there was little evidence that rural cancer survivors report greater unmet needs than their urban counterparts. This contrasts to the findings from a 2011 systematic review that found rural survivors consistently reported worse psychosocial outcomes. More population-based research is needed to establish whether uniquely rural unmet needs are due to general or cancer-specific factors.

Relationship between rural hospital closures and the supply of nurse practitioners and certified registered nurse anesthetists

BACKGROUND

Reductions in primary care and specialist physicians follow rural hospital closures. As the supply of physicians declines, rural healthcare systems increasingly rely on nurse practitioners (NPs) and certified registered nurse anesthetists (CRNAs) to deliver care.

PURPOSE

We sought to examine the extent to which rural hospital closures are associated with changes in the NP and CRNA workforce.

METHOD

Using Area Health Resources Files (AHRF) data from 2010-2017, we used an event-study design to estimate the relationship between rural hospital closures and changes in the supply of NPs and CRNAs.

FINDINGS

Among 1,544 rural counties, we observed 151 hospital closures. After controlling for local market characteristics, we did not find a significant relationship between hospital closure and the supply of NPs and CRNAs.

DISCUSSION

We do not find evidence that NPs and CRNAs respond to rural hospital closures by leaving the healthcare market.

Preferences of quality delivery of palliative care among cancer patients in low- and middle-income countries: A review

BACKGROUND

All forms of cancer pose a tremendous and increasing problem globally. The prevalence of cancer across the globe is anticipated to double over the next two decades. About 50% of most cancer cases are expected to occur in low- and middle-income countries (LMICs), where there is a greater disproportionate level in mortality. Access to effective and timely care for cancer patients remains a challenge, especially in LMICs due to late disease diagnosis and detection, coupled with the limited availability of appropriate therapeutic options and delay in proper interventions.

METHODOLOGY

This study explored several mixed-method researches and randomized trials that addressed the preferences of quality delivery of palliative care among cancer patients in LMICs. A designated set of keywords such as Palliative Care; Preferences; Cancer patients; Psycho-social Support; End-of-life Care; Low and Middle-Income Countries were inserted on electronic databases to retrieve articles. The databases include PubMed, Scinapse, Medline, The Google Scholar, Academic search premier, SAGE, and EBSCO host.

RESULTS

Findings from this review discussed the socioeconomic and behavioral factors, which address the quality delivery of palliative care among cancer patients. These factors if measured with acceptance level in cancer patients could help to address areas that need improvement from the stage of disease diagnosis to the end-of-life.

SIGNIFICANCE OF THE RESULTS

Valuable collaborations among international and local health institutions are needed to build and implement a systematic framework for palliative care in LMICs. Policies and programs that are country and culturally specific, encompassing both theoretical and practical models of care in the milieu of existing quandaries should be developed.

Health Disparities in Environmental and Occupational Lung Disease

Pulmonary health disparities disproportionately impact disadvantaged and vulnerable populations. This article focuses on disparities in disease prevalence, morbidity, and mortality for asthma, chronic obstructive pulmonary disease, pneumoconiosis, and lung cancer. Disparities are categorized by race, age, sex, socioeconomic status, and geographic region. Each category highlights differences in risk factors for the development and severity of lung disease. Risk factors include social, behavioral, economic, and biologic determinants of health (occupational/environmental exposures, psychosocial stressors, smoking, health literacy, health care provider bias, and health care access). Many of these risk factors are complex and inter-related; strategies proposed to decrease disparities require multilevel approaches.

Community Size and Lung Cancer Resection Outcomes: Studying The Society of Thoracic Surgeons Database

BACKGROUND

Socioeconomic factors play key roles in surgical outcomes. Socioeconomic data within The Society of Thoracic Surgeons (STS) General Thoracic Surgery Database (GTSD) are limited. Therefore, we utilized community size as a surrogate to understand socioeconomic differences in lung cancer resection outcomes.

METHODS

We retrospectively reviewed all lung cancer resections from January 2012 to January 2017 in the STS GTSD. This captured 68,722 patients from 286 centers nationwide. We then linked patient zip codes with 2013 Rural-Urban Continuum Codes to understand the association between community size and postoperative outcomes. Demographic and clinical variables were evaluated for relationships with 30-day mortality, major morbidity, and readmission.

RESULTS

Zip codes were included in 47.2% of patients. Zip-coded patients were older, were more comorbid, had less advanced disease, and were more commonly treated with minimally invasive approaches than were those without zip code classification. For geocoded patients, multivariable analyses demonstrated that sex, insurance payor, and hospital region were associated with all 3 major endpoints. Community size, based on Rural-Urban Continuum Codes coding, was not associated with any primary endpoint. Invasive mediastinal staging was related to morbidity, greater pathological stage predicted mortality, and worsened clinical stage was associated with readmission. More invasive surgery and greater extent of lung resection were associated with all primary endpoints.

CONCLUSIONS

Incomplete data capture can promote selection bias within the STS GTSD and skew outcomes reporting. Moreover, community size is an insufficient surrogate, compared with sex, insurance payor, hospital region, for understanding socioeconomic differences in lung cancer resection outcomes.

Are Volume Pledge Standards Worth the Travel Burden for Major Abdominal Cancer Operations?

OBJECTIVE

The study objective is to determine the association between travel distance and surgical volume on outcomes after esophageal, pancreatic, and rectal cancer resections.

SUMMARY OF BACKGROUND DATA

"Take the Volume Pledge" aims to centralize esophagectomies, pancreatectomies, and proctectomies to hospitals meeting minimum volume standards. The impact of travel, and possible care fragmentation, on potential benefits of centralized surgery is not well understood.

METHODS

Using the National Cancer Database (2004-2016), patients who underwent esophageal, pancreatic, or rectal resections at far HVH meeting volume standards versus local intermediate (IVH) and low-volume (LVH) hospitals were identified. Perioperative outcomes and 5-year OS were compared.

RESULTS

Of 49,454 patients, 17,544 (34.5%) underwent surgery at far HVH, 11,739 (23.7%) at local IVH, and 20,171 (40.8%) at local LVH. The median (interquartile range) travel distances were 77.1 (51.1-125.4), 13.2 (5.8-27.3), and 7.8 (3.1-15.5) miles to HVH, IVH, and LVH, respectively. By multivariable analysis, LVH was associated with increased 30-day mortality for all resections compared to HVH, but IVH was associated with mortality only for proctectomies [odds ratio 1.90, 95% confidence interval (CI) 1.31-2.75]. Compared to HVH, both IVH (hazard ratio 1.25, 95% CI 1.19-1.31) and LVH (hazard ratio 1.35, 95% CI 1.29-1.42) were associated with decreased 5-year OS.

CONCLUSIONS

Compared to far HVH, 30-day mortality was higher for all resections at LVH, but only for proctectomies at IVH. Five-year OS was consistently worse at local LVH and IVH. Improving long-term outcomes at IVH may provide opportunities for greater access to quality cancer care.

Expect delays: poor connections between rural and urban health systems challenge multidisciplinary care for rural Americans with diabetic foot ulcers

BACKGROUND

Rural Americans with diabetic foot ulcers (DFUs) face a 50% increased risk of major amputation compared to their urban counterparts. We sought to identify health system barriers contributing to this disparity.

METHODS

We interviewed 44 participants involved in the care of rural patients with DFUs: 6 rural primary care providers (PCPs), 12 rural specialists, 12 urban specialists, 9 support staff, and 5 patients/caregivers. Directed content analysis was performed guided by a conceptual model describing how PCPs and specialists collaborate to care for shared patients.

RESULTS

Rural PCPs reported lack of training in wound care and quickly referred patients with DFUs to local podiatrists or wound care providers. Timely referrals to, and subsequent collaborations with, rural specialists were facilitated by professional connections. However, these connections often were lacking between rural providers and urban specialists, whose skills were needed to optimally treat patients with high acuity ulcers. Urban referrals, particularly to vascular surgery or infectious disease, were stymied by 1) time-consuming processes, 2) negative provider interactions, and 3) multiple, disconnected electronic health record systems. Such barriers ultimately detracted from rural PCPs' ability to focus on medical management, as well as urban specialists' ability to appropriately triage referrals due to lacking information. Subsequent collaboration between providers also suffered as a result.

CONCLUSIONS

Poor connections across rural and urban healthcare systems was described as the primary health system barrier driving the rural disparity in major amputations. Future interventions focusing on mitigating this barrier could reduce the rural disparity in major amputations.

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.

Association of Rurality With Survival and Guidelines-Concordant Management in Early-stage Non-Small Cell Lung Cancer

BACKGROUND

Rural populations of the United States have not experienced a similar degree of decline in lung cancer mortality recently seen nationwide. Several investigations examining survival differences in rural lung cancer patients have been incongruent. We investigated the association of rural residence with survival outcomes and receipt of guidelines-concordant treatment in early-stage non-small cell lung cancer (NSCLC).

METHODS

Retrospective study of National Cancer Data Base patients with NSCLC diagnosed from 2004 to 2015. Comparisons of survival outcomes and guidelines-concordant management with lobectomy or stereotactic body radiation therapy among rural and nonrural patients, classified according to the US Department of Agriculture's Rural-Urban Continuum Codes.

RESULTS

We identified 840,566 patients; 18.7% resided in rural areas. Rurality was associated with greater proportions of males, white patients, and higher comorbidities. Larger proportions of rural stage I patients (53.4%) did not undergo guidelines-concordant management with lobectomy or stereotactic body radiation therapy relative to nonrural patients (50.1%, P<0.001). Although rural patients within each stage at diagnosis have a significant disparity in overall survival (OS), stage I NSCLC had the largest absolute difference (nonrural=61.4 mo, rural=50.3 mo, difference of 11.1 mo, P<0.0001). In multivariable Cox regression, rurality was independently associated with impaired survival in both all-stages (hazard ratio=1.08, P<0.001) and stage I NSCLC (hazard ratio=1.09, P<0.001).

CONCLUSIONS

Small differences exist in OS among all rural NSCLC patients, but rural patients with stage I NSCLC have a marked disadvantage in OS. Rurality is an independent risk factor for decreased survival in all-stages and stage I NSCLC.

Adjuvant external beam radiotherapy for surgically resected, nonmetastatic anaplastic thyroid cancer

BACKGROUND

EBRT in resected, nonmetastatic anaplastic thyroid cancer (ATC) remains undefined. We evaluated patterns/outcomes with EBRT and chemotherapy in this setting.

METHODS

This retrospective analysis included patients identified from the National Cancer Database with nonmetastatic ATC from 2004 to 2014 who underwent non-palliative resection.

RESULTS

Our analysis included 496 patients, including 375 who underwent adjuvant EBRT (among whom 198 received concurrent chemotherapy). The median age was 68 years. On MVA, EBRT was associated with sex (OR 0.5, 95% CI 0.3-0.8, P = .002) and income (OR 2.2, 95% CI 1.4-3.3, P < .001). EBRT was associated with longer OS on UVA (12.3 vs 9.1 months, P = .004) and MVA (HR 0.7 [CI 0.6-0.9], P = .004). Concurrent chemoradiation was associated with longer OS on UVA (14.0 vs 9.1 months, P = .003) and MVA (HR 0.6 [CI 0.5-0.8], P < .001).

CONCLUSION

Adjuvant EBRT is associated with longer OS in resected, nonmetastatic ATC, with additional improved survival with concurrent chemotherapy.

Neighborhood context and non-small cell lung cancer outcomes in Florida non-elderly patients by race/ethnicity

OBJECTIVE

The purpose of this study was to investigate the relationship between neighborhood environment and lung cancer outcomes among Florida residents younger than 65 years of age.

METHODS AND MATERIALS

This was a retrospective cohort study that included patients diagnosed with non-small cell lung cancer (NSCLC) in Florida from January 2005 to December 2014 (n = 22,750). Multi-level, mixed-effect logistic regression models were used for two outcomes: receipt of treatment and receipt of surgery. Survival analyses, using proportional subdistribution hazard models, were conducted to examine the impact of neighborhood characteristics on risk of death due to lung cancer with adjustment for individual-level variables. Neighborhood exposures of interest were census tract level black and Hispanic segregation combined with economic deprivation.

RESULTS

White patients who lived in low black segregation/high deprivation areas had 15 % lower odds of receiving surgery (95 % CI: 0.76-0.93). However, the likelihood of receiving surgery for black patients who lived in high black segregation/low deprivation and high black segregation/high deprivation was lower than for black patients who lived in low black segregation/low deprivation neighborhoods (level 3 AOR = 0.56 [0.38-0.85]; level 4 AOR = 0.69 [0.54-0.88]). Living in suburban and rural areas increased the risk of lung cancer death for white patients by 14 % (95 % CI: 1.05-1.24) and 26 % (95 % CI: 1.08-1.46), respectively. Living in rural areas increased the risk of death for black patients by 54 % r (SHR = 1.54 [1.19-2.0]). Black patients who live in high Hispanic segregation/high deprivation had 36 % increased risk of death compared to black patients who lived in low Hispanic segregation/low deprivation areas.

CONCLUSION

This study suggests that when investigating cancer disparities, merely adjusting for race/ethnicity does not provide sufficient explanation to understand survival and treatment variations. Lung cancer outcomes are impacted by neighborhood environments that are formed based on the distribution of race, ethnicity and class.

30-Day Emergency Department Revisit Rates among Older Adults with Documented Dementia

OBJECTIVES

Published literature on national emergency department (ED) revisit rates among older adults with dementia is sparse, despite anecdotal evidence of higher ED utilization. Thus we evaluated the odds ratio (OR) of 30-day ED revisits among older adults with dementia using a nationally representative sample.

DESIGN

We assessed the frequency of claims associated with a 30-day ED revisit among Medicare beneficiaries with and without a dementia diagnosis before or at index ED visit. We used a logistic regression model controlling for dementia, age, sex, race, region, Medicaid status, transfer to a skilled nursing facility after ED, primary care physician use 12 months before index, and comorbidity.

SETTING

A nationally representative sample of claims data for Medicare beneficiaries aged 65 and older who maintained continuous fee-for-service enrollment during 2015 and 2016. Only outpatient claims associated with an ED visit between January 2016 and November 2016 were included as a qualifying index encounter.

PARTICIPANTS

We identified 240 249 patients without dementia and 54 622 patients for whom a dementia code was recorded in the year before the index encounter in 2016.

RESULTS

Our results indicate a significant difference in unadjusted 30-day ED revisit rates among those with an ED dementia diagnoses (22.0%) compared with those without (13.9%). Our adjusted results indicated that dementia is a significant predictor of 30-day ED revisits (P < .0001). Those with a dementia diagnosis at or before the index ED visit were more likely to have experienced an ED revisit within 30 days (OR = 1.27; 95% confidence interval = 1.24-1.31).

CONCLUSION

Dementia diagnoses were a significant predictor of 30-day ED revisits. Further research should assess potential reasons why dementia is associated with markedly higher revisit rates, as well as opportunities to manage and transition dementia patients from the ED back to the community more effectively. J Am Geriatr Soc 67:2254-2259, 2019.

Brain cancer survival in Canada 1996-2008: effects of sociodemographic characteristics

Background

Literature suggests that factors such as rural residence and low socioeconomic status (ses) might contribute to disparities in survival for Canadian cancer patients because of inequities in access to care. However, evidence specific to brain cancer is limited. The present research estimates the effects of rural or urban residence and ses on survival for Canadian patients diagnosed with brain cancer.

Methods

Adults diagnosed with primary malignant brain tumours during 1996-2008 were identified through the Canadian Cancer Registry. Brain tumours were classified using International Classification of Diseases for Oncology (3rd edition) site and histology codes. Hazard ratios (hrs) and 95% confidence intervals (cis) were estimated using Cox proportional hazards models. Events were restricted to individuals whose underlying cause of death was cancer-related. Postal codes were used to match patient records with Statistics Canada data for rural or urban residence and neighbourhood income as a surrogate measure of ses.

Results

Of 25,700 patients included in the analysis, 78% died during the study period, 21% lived in rural areas, and 19% were in the lowest income group. A modest variation in survival by rural compared with urban residence was observed for patients with glioblastoma (first 5 weeks after diagnosis hr: 0.86; 95% ci: 0.79 to 0.99) and oligoastrocytoma (first 3 years after diagnosis hr: 1.41; 95% ci: 1.03 to 1.93). Small effects of low compared with high income were seen for patients with glioblastoma (first 1.5 years after diagnosis hr: 1.15; 95% ci: 1.08 to 1.22) and diffuse astrocytoma (first 6 months after diagnosis hr: 1.17; 95% ci: 1.00 to 1.36).

Conclusions

Our analysis did not yield evidence of strong effects of rural compared with urban residence or ses strata on survival in brain cancer. However, some variation in survival for patients with specific histologies warrants further research into the mechanisms by which rural or urban residence and income stratum influences survival.

Socioeconomic status and survival outcomes in elderly cancer patients: A national health insurance service-elderly sample cohort study

BACKGROUND

We hypothesized that lower socioeconomic status (SES) was associated with higher all-cause mortality in patients newly diagnosed with cancer, particularly in the elderly population.

METHODS

We collected study patients from the stratified random sample of Korean National Health Insurance Elderly Cohort (2002-2015). The Cox's proportional hazards model was used to investigate the risk factors for mortality. Income level and composite deprivation index (CDI) 2010 were used to define the SES: low, intermediate, and high SES groups. The comorbidities were measured using Charlson Comorbidity Index score. After a wash-out period (2002), the final study population was 108 626 (2003-2015).

RESULTS

In multivariate analysis, low SES was associated with poor overall survival (OS) (HR = 1.08, 95% CI: 1.05-1.12, P < 0.001) and cancer-specific survival (CSS) (HR = 1.11, 95% CI: 1.06-1.16, P < 0.001) particularly for patients aged 70-79 years. High SES was favorable prognostic factor of OS in patients aged 60-69 years (HR = 0.85, 95% CI: 0.81-0.89, P < 0.001), 70-79 years (HR = 0.90, 95% CI: 0.87-0.93, P < 0.001), and ≥80 years (HR = 0.91, 95% CI: 0.87-0.96, P < 0.001). However, SES was not associated with CSS in advanced age patients (≥80 years). Patients with low SES manifesting colorectal, urinary, liver, gastric, melanoma, and esophageal cancers demonstrated worse OS, compared to patients with intermediate SES. Also, low SES patients with urinary, liver, or colorectal cancers or melanoma demonstrated worse CSS compared to those with intermediate SES.

CONCLUSION

Low SES at the time of cancer diagnosis is associated with increased risk of OS and CSS in elderly patients. Depending on cancer sites, different patterns of OS and CSS were observed according to SES. Further elucidation of the causes underlying these phenomena is needed along with appropriate support for elderly cancer patients with low SES.

Difference in frequency and outcome of geriatric emergency department utilization between urban and rural areas

BACKGROUND

Elderly people are susceptible to develop multiple chronic diseases and are thus likely to utilize the emergency department (ED). Access to health care and health outcomes may differ between rural and urban areas. This study aims to compare the frequency and outcome of geriatric ED utilization between urban and rural areas.

METHODS

This population-based study obtained information from the health insurance database. The frequency and outcome of ED utilization in 2013 were compared among people aged ≥65 years living in urban and rural areas. The independent effect of various characteristics on the frequency and outcome of ED utilization was evaluated using multivariate logistic regression analysis.

RESULTS

Of the 6695 people living in urban areas, 1879 (28.07%) utilized the ED and accounted for 3859 ED visits. Meanwhile, 908 (29.75%) of the 3052 people living in rural areas utilized the ED and accounted for 1820 ED visits. No difference in the prevalence of ED utilization was found between the urban and rural areas. Urbanization did not affect the risk of frequent ED utilization among ED users. People living in rural areas had an increased risk of ED visits with a high acuity (adjusted odds ratio: 1.40, 95% CI: 1.12-1.75). Urbanization did not affect the risk of hospitalization or immediate death after ED visits.

CONCLUSION

The frequency of ED utilization showed no urban-rural difference. Elderly people living in rural areas had an increased risk of visiting the ED with a high acuity.

Continuous Rural-Urban Coding for Cancer Disparity Studies: Is It Appropriate for Statistical Analysis?

Background: The dichotomization or categorization of rural-urban codes, as nominal variables, is a prevailing paradigm in cancer disparity studies. The paradigm represents continuous rural-urban transition as discrete groups, which results in a loss of ordering information and landscape continuum, and thus may contribute to mixed findings in the literature. Few studies have examined the validity of using rural-urban codes as continuous variables in the same analysis. Methods: We geocoded cancer cases in north central Florida between 2005 and 2010 collected by Florida Cancer Data System. Using a linear hierarchical model, we regressed the occurrence of late stage cancer (including breast, colorectal, hematological, lung, and prostate cancer) on the rural-urban codes as continuous variables. To validate, the results were compared to those from using a truly continuous rurality data of the same study region. Results: In term of associations with late-stage cancer risk, the regression analysis showed that the use of rural-urban codes as continuous variables produces consistent outcomes with those from the truly continuous rurality for all types of cancer. Particularly, the rural-urban codes at the census tract level yield the closest estimation and are recommended to use when the continuous rurality data is not available. Conclusions: Methodologically, it is valid to treat rural-urban codes directly as continuous variables in cancer studies, in addition to converting them into categories. This proposed continuous-variable method offers researchers more flexibility in their choice of analytic methods and preserves the information in the ordering. It can better inform how cancer risk varies, degree by degree, over a finer spectrum of rural-urban landscape.

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.

Socioeconomic Differences and Lung Cancer Survival-Systematic Review and Meta-Analysis

Background: The impact of socioeconomic differences on cancer survival has been investigated for several cancer types showing lower cancer survival in patients from lower socioeconomic groups. However, little is known about the relation between the strength of association and the level of adjustment and level of aggregation of the socioeconomic status measure. Here, we conduct the first systematic review and meta-analysis on the association of individual and area-based measures of socioeconomic status with lung cancer survival.

Methods: In accordance with PRISMA guidelines, we searched for studies on socioeconomic differences in lung cancer survival in four electronic databases. A study was included if it reported a measure of survival in relation to education, income, occupation, or composite measures (indices). If possible, meta-analyses were conducted for studies reporting on individual and area-based socioeconomic measures.

Results: We included 94 studies in the review, of which 23 measured socioeconomic status on an individual level and 71 on an area-based level. Seventeen studies were eligible to be included in the meta-analyses. The meta-analyses revealed a poorer prognosis for patients with low individual income (pooled hazard ratio: 1.13, 95 % confidence interval: 1.08–1.19, reference: high income), but not for individual education. Group comparisons for hazard ratios of area-based studies indicated a poorer prognosis for lower socioeconomic groups, irrespective of the socioeconomic measure. In most studies, reported 1-, 3-, and 5-year survival rates across socioeconomic status groups showed decreasing rates with decreasing socioeconomic status for both individual and area-based measures. We cannot confirm a consistent relationship between level of aggregation and effect size, however, comparability across studies was hampered by heterogeneous reporting of socioeconomic status and survival measures. Only eight studies considered smoking status in the analysis.

Conclusions: Our findings suggest a weak positive association between individual income and lung cancer survival. Studies reporting on socioeconomic differences in lung cancer survival should consider including smoking status of the patients in their analysis and to stratify by relevant prognostic factors to further explore the reasons for socioeconomic differences. A common definition for socioeconomic status measures is desirable to further enhance comparisons between nations and across different levels of aggregation.

Rural/urban residence and childhood and adolescent cancer survival in the United States

BACKGROUND

To the authors' knowledge, no previous study has examined the relationship between rural/urban residence and childhood or adolescent cancer survival in the United States. Using the Surveillance, Epidemiology, and End Results 18 registries database, the authors examined childhood and adolescent cancer survival by rural/urban residence as defined by Rural-Urban Continuum Codes (RUCCs).

METHODS

The authors obtained data from Surveillance, Epidemiology, and End Results 18 registries for individuals diagnosed at ages birth to 19 years with a first primary malignant cancer from 2000 through 2010. Rural/urban residence at the time of diagnosis was defined using both metropolitan/nonmetropolitan county classifications and individual RUCC categories. Cox proportional hazards regression was used to compute adjusted hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the association between rural/urban residence and cancer survival. The authors also examined effect modification by age group, sex, race/ethnicity, and cancer type.

RESULTS

Among 41,879 cancer cases, approximately 54.7% were non-Hispanic white, 54.3% were male, and 90.4% lived in a metropolitan county. Individuals living in nonmetropolitan counties versus metropolitan counties had a similar risk of cancer death (HR,  1.03; 95% CI, 0.94-1.13) as did those living in nonmetropolitan rural counties with <2500 individuals nonadjacent to a metropolitan area versus those living in metropolitan counties of ≥1 million individuals (HR,  0.98; 95% CI, 0.71-1.37). Evidence for effect modification largely was absent.

CONCLUSIONS

The results of the current study suggest that childhood and adolescent cancer survival in the United States does not vary by rural/urban residence at the time of diagnosis as defined by RUCCs. The widespread availability of public health insurance for children and adolescents and a nationwide network of pediatric cancer providers may explain this finding.

Rural dwellers are less likely to survive cancer - An international review and meta-analysis

BACKGROUND

Existing research from several countries has suggested that rural-dwellers may have poorer cancer survival than urban-dwellers. However, to date, the global literature has not been systematically reviewed to determine whether a rural cancer survival disadvantage is a global phenomenon.

METHODS

Medline, CINAHL, and EMBASE were searched for studies comparing rural and urban cancer survival. At least two authors independently screened and selected studies. We included epidemiological studies comparing cancer survival between urban and rural residents (however defined) that also took socioeconomic status into account. A meta-analysis was conducted using 11 studies with binary rural:urban classifications to determine the magnitude and direction of the association between rurality and differences in cancer survival. The mechanisms for urban-rural cancer survival differences reported were narratively synthesised in all 39 studies.

FINDINGS

39 studies were included in this review. All were retrospective observational studies conducted in developed countries. Rural-dwellers were significantly more likely to die when they developed cancer compared to urban-dwellers (HR 1.05 (95% CI 1.02 - 1.07). Potential mechanisms were aggregated into an ecological model under the following themes: Patient Level Characteristics; Institutions; Community, Culture and Environment; Policy and Service Organization.

INTERPRETATION

Rural residents were 5% less likely to survive cancer. This effect was consistently observed across studies conducted in various geographical regions and using multiple definitions of rurality. High quality mixed-methods research is required to comprehensively evaluate the underlying factors. We have proposed an ecological model to provide a coherent framework for future explanatory research.

FUNDING

None.

A review of cancer outcomes among persons dually enrolled in Medicare and Medicaid

The fragmentation and lack of coordination of health care may result in less efficient and more costly care and lead to poorer outcomes. There has been increasing interest in examining cancer outcomes among persons who are dually enrolled in Medicare and Medicaid. Previous studies have identified disparities in the quality of cancer treatment according to race, ethnicity, socioeconomic status, and source of health insurance. This article, which is based upon bibliographic searches in PubMed, reviews the literature on dual enrollment in Medicare and Medicaid and cancer survival and quality of cancer treatment. A total of 65 articles were identified. Of the 65 articles that were screened using the full texts or abstracts, 13 studies met the eligibility criteria, one cross-sectional study and 12 cohort studies. The results of this systematic review indicate that there is only limited evidence that dual enrollment in Medicare and Medicaid is associated with poorer survival or quality of cancer care. The number of studies that have looked for associations between dual Medicare-Medicaid status and survival and quality of cancer treatment is still small. Outcomes and cancer site(s) varied among the studies. Additional studies are needed to determine the replicability of findings reported to date. Of particular interest are studies of major forms of cancer (breast, prostate, lung, colorectal) that include adequate numbers of patients described by insurance status, race, comorbidity, stage, receipt of appropriate cancer therapy, and survival.

Marital status is an independent prognostic factor for tracheal cancer patients: an analysis of the SEER database

BACKGROUND

Although marital status is an independent prognostic factor in many cancers, its prognostic impact on tracheal cancer has not yet been determined. The goal of this study was to examine the relationship between marital status and survival in patients with tracheal cancer.

RESULTS

Compared with unmarried patients (42.67%), married patients (57.33%) had better 5-year OS (25.64% vs. 35.89%, p = 0.009) and 5-year TCSS (44.58% vs. 58.75%, p = 0.004). Results of multivariate analysis indicated that marital status is an independent prognostic factor, with married patients showing better OS (hazard ratio [HR] = 0.78, 95% confidence interval [CI] 0.64-0.95, p = 0.015) and TCSS (HR = 0.70, 95% CI 0.54-0.91, p = 0.008). In addition, subgroup analysis suggested that marital status plays a more important role in the TCSS of patients with non-low-grade malignant tumors (HR = 0.71, 95% CI 0.53-0.93, p = 0.015).

METHODS

We extracted 600 cases from the Surveillance, Epidemiology, and End Results (SEER) database. Variables were compared by Pearson chi-squared test, t-test, log-rank test, and multivariate Cox regression analysis. Overall survival (OS) and tracheal cancer-specific survival (TCSS) were compared between subgroups with different pathologic features and tumor stages.

CONCLUSIONS

Marital status is an independent prognostic factor for survival in patients with tracheal cancer. For that reason, additional social support may be needed for unmarried patients, especially those with non-low-grade malignant tumors.

Do Cervical Cancer Patients Diagnosed with Opportunistic Screening Live Longer? An Arkhangelsk Cancer Registry Study

The aim of the current study was to compare cervical cancer (СС) patients diagnosed with and without screening in terms of: (i) sociodemographic and clinical characteristics; (ii) factors associated with survival; and (iii), and levels of risk. A registry-based study was conducted using data from the Arkhangelsk Cancer Registry. It included women with newly diagnosed malignant neoplasm of the uterine cervix during the period of 1 January 2005 to 11 November 2016 (N = 1548). The Kaplan-Meier method, the log-rank test, and Cox regression were applied. Most participants who were diagnosed by screening were at stage I and died less frequently from CC than those diagnosed without screening. The latter group was also diagnosed with СС at a younger age and died younger. Younger individuals and urban residents diagnosed with stage I and II, squamous cell carcinoma had longer survival times. Cox regression modeling indicated that the hazard ratio for death among women with CC diagnosed without screening was 1.61 (unadjusted) and 1.37 (adjusted). CC diagnosed by screening, cancer stage, patient residence, histological tumor type, and age at diagnosis were independent prognostic variables of longer survival time with CC. Diagnosis of CC made within a screening program improved survival.

Urban and rural differences in outcomes of head and neck cancer

OBJECTIVES/HYPOTHESIS

To assess for potential urban and rural disparities in head and neck cancer (HNC) outcomes within a single-payer healthcare system.

STUDY DESIGN

A large retrospective population-based cohort analysis of consecutive HNC patients treated in British Columbia, Canada between 2001 and 2010 was conducted.

METHODS

All patients diagnosed with HNC from 2001 to 2010 and referred to any one of five British Columbia Cancer Agency centers for management were reviewed. Based on census data, patients were classified into: 1) rural, 2) small urban, 3) moderate urban, and 4) large urban areas. Kaplan-Meier methods and Cox regression models were used to correlate site of residence with overall survival (OS), controlling for prognostic factors that included sociodemographic and other tumor and treatment-related characteristics.

RESULTS

We identified 3,036 patients; the median age was 64 years, 26% were women, and 32% had Eastern Cooperative Oncology Group (ECOG) 0 or 1. The majority resided in large urban areas (55%) followed by rural (22%), moderate urban (13%), and small urban (10%). In regression analyses, smoking (hazard ratio [HR]: 2.10, 95% confidence interval [CI]: 1.28-3.45, P < .001), ECOG 2 + (HR: 3.44, 95% CI: 2.26-5.22, P < .001), oral cavity (HR: 1.54, 95% CI: 1.03-2.32, P = .04) and hypopharyngeal tumors (HR: 2.31, 95% CI: 1.42-3.77, P = .00), and large tumor size (HR: 1.69, 95% CI: 1.08-2.64, P = .02) were correlated with inferior OS, but site of residence was not. When stratified by type of treatment, OS remained similar irrespective of urban or rural residence.

CONCLUSIONS

Urban-rural differences in HNC survival outcomes were not observed.

LEVEL OF EVIDENCE

2c. Laryngoscope, 128:852-858, 2018.

Mortality following pancreatectomy for elderly rural veterans with pancreatic cancer

PURPOSE

The objective of this study was to examine rural/urban differences in post-operative mortality for elderly dually eligible Veteran patients with pancreatic cancer treated by surgery with or without adjuvant therapy.

MATERIALS AND METHODS

In this retrospective observational study, Medicare claims data were used to identify elderly dually eligible Veteran patients with pancreatic cancer who underwent pancreatectomy with or without adjuvant therapy. Hierarchical logistic regression models adjusted for age, rurality of residence, post-operative complication rate, length of stay, blood transfusion during admission, and co-morbidity were examined to assess differences in mortality between rural and urban Veteran patients.

RESULTS

Among 4,686 dually eligible Veteran patients with pancreatic cancer who underwent pancreatectomy between 1997 and 2011, those who lived in a small rural town focused area had significantly higher odds of one-year mortality (Odds Ratio [OR]= 1.50; p<0.01; Confidence Interval [CI]: 1.15-1.95), compared to those who lived in an urban focused area. Surgical or 90-day mortality was not significantly associated with the rurality of the Veterans' residence. Patients who were younger, had fewer comorbidities, and shorter length of stay had lower odds of dying at 90days and one year.

CONCLUSIONS

Using a nationally representative database we found that rural and older patients had worse long-term post-operative outcomes than their urban and younger counterparts, while there were no rural/urban differences in early post-operative outcomes. The study adds to evidence pointing to disparities in the quality of care of Veterans based on place of residence.

Asian and non-Asian disparities in outcomes of non-nasopharyngeal head and neck cancer

OBJECTIVES/HYPOTHESIS

To evaluate disparities in overall survival (OS) between Asian and non-Asian patients diagnosed with non-nasopharyngeal head and neck cancer (HNC).

STUDY DESIGN

This was a population-based, retrospective study of patients diagnosed with non-nasopharyngeal HNC of squamous cell carcinoma histology between 2001 and 2010 in British Columbia, Canada.

METHODS

Using Kaplan-Meier methods and Cox regression models, we examined the relationship between race and OS.

RESULTS

A total of 3,036 patients were included in the study. Median age was 64 years, 74% were men, and 7% were Asians. Asians had worse Eastern Cooperative Oncology Group (ECOG) status (29% vs. 23%, P = .07) and larger tumors (33% vs. 21%, P = .02), and were more likely to be diagnosed with oral cavity cancers (38% vs. 25%, P < .001) than non-Asians. Asians were also less likely to receive multimodality therapy than non-Asians (90% vs. 95%, P = .02). Asians were more likely to have never smoked (49% vs. 15%, P < .001) and to be married or with a partner (80% vs. 69%, P = .02). Multivariate models showed that Asians had better OS than non-Asians (hazard ratio [HR] = 0.50, 95% confidence interval [CI] = 0.25-0.99, P = .05). Three-year OS did not differ significantly between Asians and non-Asians (41% vs. 42%, P = .18); however, 5-year OS did (22% vs. 19% P = .03). Stratifying by treatment type, outcomes were comparable in both groups except for radiotherapy alone, where Asians showed significantly better OS (HR = 0.71, 95% CI = 0.51-0.99, P = .04). Advanced age, worse ECOG, greater tumor size, and lack of treatment also correlated with inferior OS.

CONCLUSIONS

Despite several worse prognostic features and less aggressive treatment, Asians tended to exhibit better OS than non-Asians.

LEVEL OF EVIDENCE

2c. Laryngoscope, 127:2528-2533, 2017.

Out-of-pocket costs and burden among rural breast cancer survivors

Little is known about out‐of‐pocket (OOP) costs incurred for medical and health needs by rural breast cancer survivors and what factors may be associated with higher OOP costs and the associated economic burden. Data were examined for 432 survivors participating in the Rural Breast Cancer Survivor Intervention trial. OOP costs were collected using the Work and Finances Inventory survey at baseline and four assessments every 3 months. Mean and median OOP costs and burden (percent of monthly income spent on OOP costs) were reported and factors associated with OOP costs and burden identified with generalized linear models fitted with over‐dispersed gamma distributions and logarithmic links (OOP costs) and with beta distributions with logit link (OOP burden). OOP costs per month since the end of treatment were on average $232.7 (median $95.6), declined at the next assessment point to $186.5 (median $89.1), and thereafter remained at that level. Mean OOP burden was 9% at baseline and between 7% and 8% at the next assessments. Factors suggestive of contributing to higher OOP costs and OOP burden were the following: younger age, lower income, time in survivorship from diagnosis, and use of supportive services. OOP costs burden rural breast cancer survivors, particularly those who are younger and low income. Research should investigate the impact of OOP costs and interventions to reduce economic burden.

The Effects of Residential Segregation and Neighborhood Characteristics on Surgery and Survival in Patients with Early-Stage Non-Small Cell Lung Cancer

BACKGROUND

Although the negative effects of lower socioeconomic status on non-small cell lung cancer (NSCLC) treatment and survival have been widely studied, the impact of residential segregation on prognosis and the receipt of treatment has yet to be determined.

METHODS

This is a retrospective, cohort study of NSCLC patients in Georgia (2000-2009; n = 8,322) using data from the Georgia Comprehensive Cancer Registry. The effects of segregation, economic deprivation, and combined segregation/deprivation on the odds of receiving surgery were examined in separate multilevel models. To determine the association for the exposures of interest on the risk of death for different racial groups, separate multilevel survival models were conducted for black and white patients.

RESULTS

Living in areas with the highest [AOR = 0.35, 95% confidence interval (CI), 0.19-0.64] and second highest (AOR = 0.37, 95% CI, 0.20-0.68) levels of segregation was associated with decreased odds of receipt of surgery. Black patients living in areas with high residential segregation and high economic deprivation were 31% (95% CI, 1.04-1.66) more likely to die, even after surgery was controlled for. For white patients, economic deprivation was associated with decreased odds of surgery but not survival. Segregation had no effect.

CONCLUSION

Our findings suggest how black and white individuals experience segregation and area-level poverty is likely different leading to differences in adverse health outcomes.

IMPACT

Identifying neighborhood characteristics impacting health outcomes within different racial groups could help reduce health disparities across racial groups by implementing targeted policies and interventions. Cancer Epidemiol Biomarkers Prev; 25(5); 750-8. ©2016 AACR.

Regional Variation in Disparities in Breast Cancer Specific Mortality Due to Race/Ethnicity, Socioeconomic Status, and Urbanization

PURPOSE

Disparities in breast cancer mortality due to race/ethnicity, area socioeconomic status (SES), and urbanization have been documented. This study examined if disparities in the risk of breast cancer specific mortality due to race/ethnicity, SES, and urbanization varied within diverse regions of California.

METHODS

We identified 163,569 cases of first primary female invasive breast cancer from the California Cancer Registry diagnosed between January, 2000 and December, 2013. Cox regression was used to compute hazard ratios (HR) and 95 % confidence intervals for race/ethnicity, SES, and urbanization within eight regions of California.

RESULTS

Blacks had an increased risk of mortality in the San Francisco Bay Area (SFBA) (HR = 1.37; 1.22-1.55), Desert Sierra (HR = 1.27; 1.08-1.49), San Diego/Orange (HR = 1.43; 1.19-1.71), and Los Angeles (LA) (HR = 1.31; 1.20-1.44). Japanese (HR = 0.62; 0.47-0.81), Chinese (HR = 0.71; 0.58-0.87), and Filipino (HR = 0.81; 0.69-0.95) women had a decreased risk of mortality in LA. Southeast Asians had a decreased risk in San Diego/Orange (HR = 0.72; 0.57-0.90) and in the SFBA (HR = 0.81; 0.67-0.98). Hispanics had a decreased risk (HR = 0.73; 0.57-0.93) and American Indians had an increased risk (HR = 2.32; 1.08-4.98) in the Tri-County region. SES was a significant risk factor for mortality in all regions except the North and Tri-County. Urbanization was a statistically significant factor for mortality only in LA (HR = 1.32; 1.08-1.60).

CONCLUSIONS

Disparities in breast cancer mortality, due to race/ethnicity, SES, and urbanization vary by region which suggests that further research is warranted concerning the role of geographic regions and neighborhoods in cancer outcomes.

Racial and Ethnic Differences in End-of-Life Medicare Expenditures

OBJECTIVES

To determine to what extent demographic, social support, socioeconomic, geographic, medical, and End-of-Life (EOL) planning factors explain racial and ethnic variation in Medicare spending during the last 6 months of life.

DESIGN

Retrospective cohort study.

SETTING

Health and Retirement Study (HRS).

PARTICIPANTS

Decedents who participated in HRS between 1998 and 2012 and previously consented to survey linkage with Medicare claims (N = 7,105).

MEASUREMENTS

Total Medicare expenditures in the last 180 days of life according to race and ethnicity, controlling for demographic factors, social supports, geography, illness burden, and EOL planning factors, including presence of advance directives, discussion of EOL treatment preferences, and whether death had been expected.

RESULTS

The analysis included 5,548 (78.1%) non-Hispanic white, 1,030 (14.5%) non-Hispanic black, and 331 (4.7%) Hispanic adults and 196 (2.8%) adults of other race or ethnicity. Unadjusted results suggest that average EOL Medicare expenditures were $13,522 (35%, P < .001) more for black decedents and $16,341 (42%, P < .001) more for Hispanics than for whites. Controlling for demographic, socioeconomic, geographic, medical, and EOL-specific factors, the Medicare expenditure difference between groups fell to $8,047 (22%, P < .001) more for black and $6,855 (19%, P < .001) more for Hispanic decedents than expenditures for non-Hispanic whites. The expenditure differences between groups remained statistically significant in all models.

CONCLUSION

Individuals-level factors, including EOL planning factors do not fully explain racial and ethnic differences in Medicare spending in the last 6 months of life. Future research should focus on broader systemic, organizational, and provider-level factors to explain these differences.

Rural residence and cancer outcomes in the United States: issues and challenges

"Neighborhoods and health" research has shown that area social factors are associated with the health outcomes that patients with cancer experience across the cancer control continuum. To date, most of this research has been focused on the attributes of urban areas that are associated with residents' poor cancer outcomes with less focused on attributes of rural areas that may be associated with the same. Perhaps because there is not yet a consensus in the United States regarding how to define "rural," there is not yet an accepted analytic convention for studying issues of how patients' cancer outcomes may vary according to "rural" as a contextual attribute. The research that exists reports disparate findings and generally treats rural residence as a patient attribute rather than a contextual factor, making it difficult to understand what factors (e.g., unmeasured individual poverty, area social deprivation, area health care scarcity) may be mediating the poor outcomes associated with rural (or non-rural) residence. Here, we review literature regarding the potential importance of rural residence on cancer patients' outcomes in the United States with an eye towards identifying research conventions (i.e., spatial and analytic) that may be useful for future research in this important area.