Rural-urban disparities in health status among US cancer survivors

The Impacts of Medicaid Expansion on Rural Low-Income Adults: Lessons From the Oregon Health Insurance Experiment

Medicaid expansions through the Affordable Care Act began in January 2014, but we have little information about what is happening in rural areas where provider access and patient resources might be more limited. In 2008, Oregon held a lottery for restricted access to its Medicaid program for uninsured low-income adults not otherwise eligible for public coverage. The Oregon Health Insurance Experiment used this opportunity to conduct the first randomized controlled study of a public insurance expansion. This analysis builds off of previous work by comparing rural and urban survey outcomes and adds qualitative interviews with 86 rural study participants for context. We examine health care access and use, personal finances, and self-reported health. While urban and rural populations have unique demographic profiles, rural populations appear to have benefited from Medicaid as much as urban. Qualitative interviews revealed the distinctive challenges still facing low-income uninsured and newly insured rural populations.

A Closer Look at Rural-Urban Health Disparities: Associations Between Obesity and Rurality Vary by Geospatial and Sociodemographic Factors

BACKGROUND

Obesity affects over one-third of older adults in the United States. Both aging and obesity contribute to an increased risk for chronic disease, early mortality, and additional health care utilization. Obesity rates are higher in rural areas than in urban areas, although findings are mixed. The objectives of this study are to assess potential nonlinearity in the association between rurality and obesity, and to evaluate the potential for socioeconomic status and geographic area to moderate the associations between rurality and obesity.

METHODS

Using a representative sample of adults aged 65 and above from the Behavioral Risk Factor Surveillance System, obesity (BMI ≥ 30 kg/m² ) was modeled against the primary exposure of rural-urban status, as measured by the Index of Relative Rurality. Binary logistic regression models were used to estimate the odds of obesity by rurality both as a continuous variable and by decile of rurality. Models were then stratified by per-capita income and state to assess potential moderation by these factors.

RESULTS

The prevalence of obesity in older adults was highest in intermediate rurality areas (OR in rurality decile #5 1.134, 95% CI: 1.086-1.184) and lowest in the most rural and most urban areas. Obesity was highest in low- and middle-income areas, regardless of rural-urban status. In high-income areas, obesity among older adults was highest in areas of intermediate rurality and lowest in the most rural areas (OR 0.726, 95% CI: 0.606-0.870) and more urban areas, showing a J-shaped association. There were substantial differences in the associations between rurality and obesity in older adults among states.

CONCLUSION

Associations between rurality and obesity varied by degree of rurality, socioeconomic status, and geography. Therefore, traditional "one-size-fits-all" approaches to reducing rural-urban health disparities in older adults may be more effective if tailored to the area-specific rural-urban gradients in health.

Posttraumatic growth and benefit-finding in lung cancer survivors: The benefit of rural residence?

Rural cancer survivors report more distress than non-rural survivors. Little research has examined whether rural residence might also be linked to positive psychological outcomes. Rural ( n = 117) and non-rural ( n = 76) lung cancer survivors completed measures of posttraumatic growth, benefit-finding, and distress. Rural survivors reported more posttraumatic growth than urban survivors. There were no differences in benefit-finding. Mediation analyses indicated distress mediated the relationship between rural residence and posttraumatic growth. Findings suggest rural residence might be beneficial with regard to potential for posttraumatic growth among cancer survivors. Consistent with trauma theory, distress mediated the relationship between rural residence and posttraumatic growth.

Spatiotemporal Discordance in Five Common Measures of Rurality for US Counties and Applications for Health Disparities Research in Older Adults

Introduction

Rural populations face numerous barriers to health, including poorer health care infrastructure, access to care, and other sociodemographic factors largely associated with rurality. Multiple measures of rurality used in the biomedical and public health literature can help assess rural–urban health disparities and may impact the observed associations between rurality and health. Furthermore, understanding what makes a place truly “rural” versus “urban” may vary from region to region in the US.

Purpose

The objectives of this study are to compare and contrast five common measures of rurality and determine how well-correlated these measures are at the national, regional, and divisional level, as well as to assess patterns in the correlations between the prevalence of obesity in the population aged 60+ and each of the five measures of rurality at the regional and divisional level.

Methods

Five measures of rurality were abstracted from the US Census and US Department of Agriculture (USDA) to characterize US counties. Obesity data in the population aged 60+ were abstracted from the Behavioral Risk Factor Surveillance System (BRFSS). Spearman’s rank correlations were used to quantify the associations among the five rurality measurements at the national, regional, and divisional level, as defined by the US Census Bureau. Geographic information systems were used to visually illustrate temporal, spatial, and regional variability.

Results

Overall, Spearman’s rank correlations among the five measures ranged from 0.521 (percent urban–urban influence code) to 0.917 (rural–urban continuum code–urban influence code). Notable discrepancies existed in these associations by Census region and by division. The associations between measures of rurality and obesity in the 60+ population varied by rurality measure used and by region.

Conclusion

This study is among the first to systematically assess the spatial, temporal, and regional differences and similarities among five commonly used measures of rurality in the US. There are important, quantifiable distinctions in defining what it means to be a rural county depending on both the geographic region and the measurement used. These findings highlight the importance of developing and selecting an appropriate rurality metric in health research.

Investigation of cancer mortality inequalities between rural and urban areas in South Korea

OBJECTIVE

Little is known about rural-urban cancer disparities, particularly in South Korea, and this study is to identify cancer-specific mortality inequalities between the rural and urban areas of the country.

DESIGN, SETTING, AND PARTICIPANTS

For 11 specific cancer sites, age-standardised mortality rates were analysed for the rural and urban administrative districts of South Korea during 2006-2011.

MAIN OUTCOME MEASURES

The Poisson log linear regression models were employed to estimate cancer-specific mortality rates, and Bonferroni comparison method was used to identify rural-urban disparities.

RESULTS

There were significant rural-urban disparities observed for all cancer sites except prostate, pancreas and leukaemia. The mortality rates of lung, liver and stomach cancers, the three most common cancers in the country, were observed to be significantly higher in rural areas than in metropolitan areas. In contrast, the reverse relationship was observed for the reproductive system (breast and uterus) and colon cancers. Central nervous system cancer mortality was observed to be significantly higher in rural areas than in non-metro urban areas.

CONCLUSIONS

For the first time ever, significant rural-urban disparity patterns in cancer mortality rates in South Korea have been identified in this paper. Future investigations on cancer risk factors for the country should address these disparity patterns.

"When everything changes:" Parent perspectives on the challenges of accessing care for a child with a disability

BACKGROUND

Health disparities exist among individuals living in rural and urban contexts in terms of access to health care and overall mortality. These disparities are typically greater for youth with disabilities living in rural areas, who face additional barriers in receiving health and support services specific to their disability. Parents are typically the ones responsible for coordinating the care needed by children with a disability; however, with numerous barriers present families are not provided adequate support to care for a child with disabilities.

OBJECTIVE

The purpose of this study was to examine barriers and facilitators to accessing health and support services among urban and rural families of children with disabilities.

METHODS

In-depth interviews were conducted with parents who provide care for an adolescent with a disability. The sample was comprised of parents from one rural county (N = 9) and one urban county (N = 10) in Georgia. Parental interviews were conducted face to face by a trained researcher. Each interview was audio-recorded. The recordings were transcribed and content analysis used to create codes and identify emerging themes.

RESULTS

The common themes found during the analysis include accessibility of health and support resources, transitions, and social isolation.

CONCLUSIONS

When comparing urban and rural areas, barriers to access do differ in terms of availability, but analysis revealed more similarities existed among parents from both contexts. Efforts must be made to increase opportunities for youth with disabilities to become connected with the local community in order to improve quality of life for families.

Negative Public Attitudes Towards Cancer Survivors Returning to Work: A Nationwide Survey in Korea

Purpose

Early diagnosis and an improved survival rate have emerged as important issues for cancer survivors returning to work during the prime of their working life. This study investigated the attitudes of the general public towards cancer survivors returning to work in Korea and attempted to identify the factors influencing this negative attitude.

Materials and Methods

A general public perception survey regarding cancer survivors returning to work, targeting 2,000 individuals between 40-70 years of age, was conducted as face-to-face home visit.

Results

The public expressed a negative attitude towards cancer survivors returning to work, in terms of both perception and acceptance. Negative perception was higher among those in metropolitan areas compared with urban/rural areas (odds ratio [OR], 1.71), with monthly incomes < $2,000 compared with > $4,000 (OR, 1.54), and with patient care experience compared with those without (OR, 1.41). Negative acceptance was higher among those with monthly incomes < $2,000 compared with > $4,000 (OR, 1.71) and those with patient care experience compared with those without (OR, 1.54). The common factors between acceptance and perception that influenced negative attitude included area of residence, patient care experience, and monthly income.

Conclusion

This study identified negative attitudes towards cancer survivors returning to work in South Korea and the factors influencing the reintegration of cancer survivors into society. It is necessary to promote community awareness and intervention activities to enable access to community, social, and individual units for the social reintegration of cancer survivors.

Determinants of First-Time Cancer Examinations in a Rural Community: A Mechanism for Behavior Change

OBJECTIVES

After conducting a media campaign focusing on the importance of oral and pharyngeal cancer (OPC) examinations, we assessed mechanisms of behavior change among individuals receiving an OPC examination for the first time.

METHODS

We used data from 2 waves of telephone surveys of individuals residing in 36 rural census tracts in northern Florida (n = 806). The second survey occurred after our media intervention. We developed media messages and modes of message delivery with community members via focus groups and intercept interviews. We performed a mediation analysis to examine behavior change mechanisms.

RESULTS

Greater exposure to media messages corresponded with heightened concern about OPC. Heightened concern, in turn, predicted receipt of a first-time OPC examination, but only among men.

CONCLUSIONS

We extended earlier studies by measuring an outcome behavior (receipt of an OPC examination) and demonstrating that the putative mechanism of action (concern about the disease) explained the link between a media intervention and engaging in the target behavior. Improving the quality of media campaigns by engaging community stakeholders in selecting messages and delivery methods is an effective strategy in building public health interventions aimed at changing behaviors.

Cancer Survivorship in Rural and Urban Adults: A Descriptive and Mixed Methods Study

PURPOSE

Rural-dwelling cancer survivors (CSs) are at risk for decrements in health and well-being due to decreased access to health care and support resources. This study compares the impact of cancer in rural- and urban-dwelling adult CSs living in 2 regions of the Pacific Northwest.

METHODS

A convenience sample of posttreatment adult CSs (N = 132) completed the Impact of Cancer version 2 (IOCv2) and the Memorial Symptom Assessment Scale-short form. High and low scorers on the IOCv2 participated in an in-depth interview (n = 19).

FINDINGS

The sample was predominantly middle-aged (mean age 58) and female (84%). Mean time since treatment completion was 6.7 years. Cancer diagnoses represented included breast (56%), gynecologic (9%), lymphoma (8%), head and neck (6%), and colorectal (5%). Comparisons across geographic regions show statistically significant differences in body concerns, worry, negative impact, and employment concerns. Rural-urban differences from interview data include access to health care, care coordination, connecting/community, thinking about death and dying, public/private journey, and advocacy.

CONCLUSION

The insights into the differences and similarities between rural and urban CSs challenge the prevalent assumptions about rural-dwelling CSs and their risk for negative outcomes. A common theme across the study findings was community. Access to health care may not be the driver of the survivorship experience. Findings can influence health care providers and survivorship program development, building on the strengths of both rural and urban living and the engagement of the survivorship community.

Financial Burden of Pediatric Cancer for Patients and Their Families

PURPOSE

Cancer treatment may cause financial stress for pediatric oncology patients and their families. We evaluated pediatric cancer caregivers' perceived financial burden related to socioeconomic factors (eg, parental employment) and health care use factors (eg, unexpected hospitalizations).

METHODS

A single-site, cross-sectional survey of primary caretakers of patients with childhood cancer was performed from July 2010 to July 2012. Eligible patients were treated at a pediatric cancer hospital, diagnosed at age ≤ 21 years and were ≤ 5 years from diagnosis (N = 254). Financial burden was rated on a visual analog scale of 0 to 100. Multivariable linear regression models were used to calculate coefficients and 95% CIs of financial burden by time since diagnosis.

RESULTS

Mean age at diagnosis was 6.8 years (SD = 5.5 years), and average time since diagnosis was 1.6 years (SD = 1.4 years). The most common diagnosis was leukemia (41.9%). When adjusted for sex, age at diagnosis, insurance status, and rural residence, caregivers whose child was 1 to 5 years from diagnosis with ≥ 5 unexpected hospitalizations experienced 24.9 (95% CI, 9.1 to 40.7; P < .01) points higher financial burden than those with no unexpected hospitalizations. In addition, when compared with families without employment disruptions, families of children 1 to 5 years from diagnosis in which a caregiver had quit or changed jobs reported 13.4 (95% CI, 3.2 to 23.6; P = .01) points higher financial burden.

CONCLUSIONS

Efforts to reduce unexpected hospitalizations and employment disruptions by providing more comprehensive supportive care for pediatric patients with cancer could help ease families' financial burden.

Rural living as context: a study of disparities in long-term cancer survivors

PURPOSE/OBJECTIVES

To explore the impact of rurality on health-related quality-of-life (HRQOL) disparities in rural long-term cancer survivors.

DESIGN

Cross-sectional survey.

SETTING

Rural-Urban Continuum Codes (RUCC) 7, 8, and 9.

SAMPLE

91 adults at least five years post-treatment.

METHODS

Mailed surveys measured HRQOL, self-esteem, and social support. Regression models were estimated to isolate (from self-esteem and social support) the effect of level of rurality on HRQOL.

MAIN RESEARCH VARIABLES

HRQOL, self-esteem, social support, and rurality.

FINDINGS

No differences in demographic characteristics existed among RUCCs. Survivors residing in RUCCs 7 or 8 tended to be similar in several dimensions of HRQOL. Survivors living in RUCC 7 reported significantly lower social function and greater financial difficulty and number of symptoms compared to survivors in RUCC 9 (the most remote). Self-esteem and social support strongly correlated with HRQOL.

CONCLUSIONS

The significant impact of rurality on HRQOL beyond self-esteem and social support suggests its role in explaining cancer survivorship disparities and directing practice. Until additional exploration can identify mechanisms behind rurality's impact, consideration of level of rurality as a potential factor in evaluating survivors' HRQOL outcomes is reasonable.

IMPLICATIONS FOR NURSING

Survivor context (e.g., level of rurality) influences HRQOL outcomes. Context or culture-relevant risk minimization and HRQOL optimization nursing practices are indicated.

Socioeconomic and sociodemographic predictors of cancer-related information sources used by cancer survivors

With 14 million cancer survivors in the United States, identifying and categorizing their use of sources of cancer-related information is vital for targeting effective communications to this growing population. In addition, recognizing socioeconomic and sociodemographic differences in the use of cancer-related information sources is a potential mechanism for reducing health disparities in survivorship. Fourteen sources of information survivors (N = 519) used for cancer-related information were factor-analyzed to create a taxonomy of source use. The association between social determinants and use of these source types was analyzed in regression models. Factor analysis revealed 5 categories of information source use (mass media; Internet and print; support organizations; family and friends; health care providers), and use varied based on sociodemographic and socioeconomic characteristics. Higher education predicted increased use of all source categories except mass media. African American cancer survivors turned to health care providers as a source for cancer-related information less often than did White survivors. Social determinants predicted differences in the type of cancer-related information sources used. Providers and health communicators should target communication platforms based on the demographic profile of specific survivor audiences.

Physical and mental health among cancer survivors: considerations for long-term care and quality of life

The physical and mental health of cancer patients needs to be addressed not only during active treatment but also throughout the continuum of survivorship care. This commentary provides an overview of issues pertinent to cancer survivors, with an emphasis on mental health issues and recommendations for annual clinical screening and monitoring using recently published guidelines from the American Society of Clinical Oncology.

Memory and cancer: a review of the literature

The mental health of cancer survivors has not always been the primary emphasis of treatment protocols since physical health outcomes have taken precedence. Older cancer survivors experience a double jeopardy since they are at risk for memory impairments and mild cognitive impairment and because they are greater than 55 years of age. Of the 9.6 million cancer survivors in the US who have completed active treatment, many report cognitive difficulties, with labels such as "chemo brain," "not as sharp," "woolly-headedness," or the "mind does not work as quickly". To date, most of our knowledge of cognitive impairment in cancer survivors comes from female breast cancer survivors. Studies indicate that these survivors have diminished executive function, verbal memory, and motor function. Cancer survivors want to live independently in the community for as long as possible however, these cognitive deficits may prevent this desired lifestyle. To broaden our understanding this paper reviews the literature on the cognitive impairment and memory deficits experienced by three groups of cancer survivors breast, colorectal, and prostate cancer, that make up 60% of all survivors nationally. Even though mental health declined after a cancer diagnosis, the long-term outcomes of cancer survivors did not differ from persons without cancer in depression or cognitive function.

Quality of life and disparities among long-term cervical cancer survivors

PURPOSE

Little population-based research has been done on social, economic, and environmental factors affecting quality of life (QOL) among long-term cancer survivors. This research assesses the impact of disease and nondisease factors on QOL among long-term survivors of cervical cancer.

METHODS

In a collaborative, observational study, data were obtained from cancer registries, interviews, and self-administered questionnaires. Comparisons of QOL were made between women with cervical cancer histories and women from the general population. A total of 715 women 4-28 years postdiagnosis were identified from cancer registries in Connecticut (N = 208), Detroit Metropolitan Area (N = 211), New Mexico (N = 197), and Hawaii (N = 99). QOL was measured according to four SF-36 dimensions-physical functioning, social functioning, bodily pain, and general health status.

RESULTS

Means on SF-36 measures among women with cervical cancer histories were close to or higher than women in the general population. In a multiple regression analysis, economic disadvantage negatively predicted physical functioning (B = -13.4, SE = 2.1), social functioning (B = -13.2, SE = 2.4), bodily pain (B = -12.6, SE = 2.5), and general health (B = -12.8, SE = 2.1). Residence in New Mexico negatively predicted several QOL dimensions. No impact of race was detected when income was controlled. Disease stage did not predict QOL.

CONCLUSIONS

Cervical cancer does not generally reduce QOL among long-term survivors. Economic disadvantage and residential location affect QOL through mechanisms yet to be determined.

IMPLICATIONS FOR CANCER SURVIVORS

Women diagnosed with cervical cancer have good prospects for high quality of life; socioeconomic status strongly affects quality of life over the long term.

The experiences of participants in an innovative online resource designed to increase regular walking among rural cancer survivors: a qualitative pilot feasibility study

PURPOSE

Physical activity has been associated with improved outcomes for cancer survivors. Compared to their urban counterparts, rural Australians experience a health disadvantage, including poorer survival rates after diagnosis of cancer. The aim of this pilot feasibility study was to gain insight into the experiences of rural cancer survivors engaging in an online resource designed to increase regular walking.

METHODS

A 6-week online lifestyle intervention was implemented among eight cancer survivors living in three rural regions of South Australia. Participants used a pedometer to monitor daily steps taken, reported daily steps using a specially designed website and were provided with daily step goals based on their affective state. Participants took part in semi-structured face-to-face interviews to gauge their impressions of the program. Data were analysed using qualitative description and content analysis to derive major themes from the interviews.

RESULTS

The program motivated participants to increase their walking and resulted in improvements in several self-reported physical and quality of life outcomes. The resource was clear and easy to navigate. The three-tiered step goal system reduced feelings of guilt if participants were unable to reach a goal. The step log and graph allowed participants to self-monitor their progress. The forum fostered social support; however, more interaction with intervention personnel was suggested.

CONCLUSIONS

This online pedometer-based walking intervention is feasible and effectively increases motivation for walking and enhances health-related quality of life in South Australian rural cancer survivors. A randomized controlled trial of this intervention is warranted.

Differences in vitamin D nutritional status between newly diagnosed cancer patients from rural or urban settings in Kentucky

Although poor nutritional status and weight loss in cancer patients is known to affect outcomes, little is known about malnutrition differences based on geographic location. We investigated nutritional and inflammatory status of 220 newly diagnosed adults with solid tumors at the University of Kentucky's Markey Cancer Center during December 2008 through October 2011. Chi-square tests were used to determine any associations between suboptimal nutritional levels and rural-urban areas of residence. Out of the 13 lab values collected, the only significant difference between rural and urban participants was found for vitamin D resulting in more rural subjects (67.4%) having a suboptimal vitamin D status as compared to those residing in urban areas (53.3%, P = 0.04). Controlling for baseline demographics including age, race, sex, body mass index, nutritional status, and type of cancer, logistic regression analyses concluded those in rural areas had nearly a twofold increase in the odds of having a suboptimal vitamin D level compared to those in urban areas (odd's ratio = 1.97; 95% confidence interval = 1.04, 3.74). Further investigation into the rural-urban differences in vitamin D needs to be investigated in order to improve outcomes during cancer treatment.

The impact of cancer diagnosis on employment: is there a difference between rural and urban populations?

PURPOSE

To determine if living in a rural or urban area influences the impact of cancer diagnosis on employment.

METHOD

Surveys that asked about changes in employment status related to a cancer diagnosis or treatment were sent to 2,005 cancer survivors enrolled in the Vermont Cancer Survivor Surveillance Registry. Data on cancers were obtained from hospital cancer registries. Respondents indicating that they were working at the time of diagnosis were included in this study for a total of 1,155 participants. Associations between rural or urban residence and changes in employment were assessed by chi-square tests and logistic regression.

RESULTS

There were no statistically significant differences in the proportions of rural and urban survivors working fewer hours, experiencing a career change or unable to work. However, a larger proportion of rural than urban patients retired early after their diagnosis (11.1 vs. 7.2%, p = 0.031). There were also fewer rural patients that reported that they went on paid disability during cancer treatment (12.3 vs. 17.0%, p = 0.030).

CONCLUSIONS

While many patients will return to work after treatment for a cancer diagnosis, it appears that rural patients may be less likely to receive paid disability and more likely to retire early. It is possible that rural populations engage in more physically demanding jobs that they are unable to continue after their cancer treatment. Additionally the types of manual labor available in rural areas rarely offer disability benefits, increasing the impact of cancer diagnosis for this population.

IMPLICATIONS FOR CANCER SURVIVORS

A cancer diagnosis may have a greater impact on employment among rural residents. Cancer programs should recognize this disparity and enhance return to work and disability counseling in patients from rural areas.

Impact of rural residence on forgoing healthcare after cancer because of cost

BACKGROUND

Routine follow-up care is recommended to promote the well-being of cancer survivors, but financial difficulties may interfere. Rural-urban disparities in forgoing healthcare due to cost have been observed in the general population; however, it is unknown whether this disparity persists among survivors. The purpose of this study was to examine rural-urban disparities in forgoing healthcare after cancer due to cost.

METHODS

We analyzed data from 7,804 cancer survivors in the 2006 to 2010 National Health Interview Survey. Logistic regression models, adjusting for sociodemographic and clinical characteristics, were used to assess rural-urban disparities in forgoing medical care, prescription medications, and dental care due to cost, stratified by age (younger: 18-64, older: 65+).

RESULTS

Compared with urban survivors, younger rural survivors were more likely to forgo medical care (P < 0.001) and prescription medications (P < 0.001) due to cost; older rural survivors were more likely to forgo medical (P < 0.001) and dental care (P = 0.05). Rural-urban disparities did not persist among younger survivors in adjusted analyses; however, older rural survivors remained more likely to forgo medical [OR = 1.66, 95% confidence interval (CI) = 1.11-2.48] and dental care (OR = 1.54, 95%CI = 1.08-2.20).

CONCLUSIONS

Adjustment for health insurance and other sociodemographic characteristics attenuates rural-urban disparities in forgoing healthcare among younger survivors, but not older survivors. Financial factors relating to healthcare use among rural survivors should be a topic of continued investigation.

IMPACT

Addressing out-of-pocket costs may be an important step in reducing rural-urban disparities in healthcare, especially for older survivors. It will be important to monitor how healthcare reform efforts impact disparities observed in this vulnerable population.

The health and welfare of rural and urban cancer survivors in Missouri

INTRODUCTION

An estimated 2.8 million cancer survivors reside in rural areas in the United States. We compared the risk behaviors, psychosocial factors, health outcomes, quality of life, and follow-up care of rural and urban cancer survivors in Missouri.

METHODS

We used 2009-2010 Missouri Behavioral Risk Factor Surveillance System data to examine various health outcomes, behaviors, and psychosocial factors among rural and urban cancer survivors and their respective rural and urban counterparts without a cancer history. Cancer survivors also were asked about receipt of survivorship care plan components. Sociodemographic factors, access to medical care, and chronic conditions were examined as potential explanatory factors for differences among the 4 groups.

RESULTS

An estimated 9.4% of rural and 7.9% of urban Missourians aged 18 years or older reported a cancer history. Rural survivors reported the highest rates of poor self-reported health, physical distress, and activity limitation; however differences between rural and urban survivors were attributable largely to sociodemographic differences. Both rural and urban cancer survivors reported more fatigue than their respective counterparts without a cancer history. Rural survivors also were less likely to meet Centers for Disease Control and Prevention recommendations for physical activity than their rural controls. The prevalence of smoking among rural survivors was higher than among urban survivors. Only 62% of rural survivors versus 78% of urban survivors reported receiving advice about cancer follow-up care.

CONCLUSION

Rural cancer survivors face many health challenges. Interventions to improve quality of life and health behaviors should be adapted to meet the needs of rural cancer survivors.

Identifying health literacy and health system navigation needs among rural cancer patients: findings from the Rural Oncology Literacy Enhancement Study (ROLES)

Rural residence is associated with disparities in cancer-related outcomes. Guided by the Chronic Care Model (CCM), the Rural Oncology Literacy Enhancement Study (ROLES) assessed health literacy and patient navigation needs among rural cancer patients. A mixed methods (qualitative and quantitative) approach was used, including: in-depth interviews, health literacy assessments, and phone surveys with cancer patients (N = 53) from 5 oncology clinics in rural Wisconsin; focus groups and self-administered surveys with staff (N = 41) in these clinics. Within four dimensions of the CCM (community resources, self-management support, delivery system design, and decision support), this study uncovered multiple unmet navigation needs, health literacy limitations, and barriers to quality cancer care. System-level implementation of patient navigation and health literacy best practices could contribute to improved cancer care and patient outcomes among rural populations. Further research identifying effective interventions that reduce cancer disparities among rural cancer patients is necessary.

Rural-urban differences in health behaviors and implications for health status among US cancer survivors

PURPOSE

Rural US adults have increased risk of poor outcomes after cancer, including increased cancer mortality. Rural-urban differences in health behaviors have been identified in the general population and may contribute to cancer health disparities, but have not yet been examined among US survivors. We examined rural-urban differences in health behaviors among cancer survivors and associations with self-reported health and health-related unemployment.

METHODS

We identified rural (n = 1,642) and urban (n = 6,162) survivors from the cross-sectional National Health Interview Survey (2006-2010) and calculated the prevalence of smoking, physical activity, overweight/obesity, and alcohol consumption. Multivariable models were used to examine the associations of fair/poor health and health-related unemployment with health behaviors and rural-urban residence.

RESULTS

The prevalence of fair/poor health (rural 36.7 %, urban 26.6 %), health-related unemployment (rural 18.5 %, urban 10.6 %), smoking (rural 25.3 %, urban 15.8 %), and physical inactivity (rural 50.7 %, urban 38.7 %) was significantly higher in rural survivors (all p < .05); alcohol consumption was lower (rural 46.3 %, urban 58.6 %), and there were no significant differences in overweight/obesity (rural 65.4 %, urban 62.6 %). All health behaviors were significantly associated with fair/poor health and health-related unemployment in both univariate and multivariable models. After adjustment for behaviors, rural survivors remained more likely than urban survivors to report fair/poor health (OR = 1.21, 95 % CI 1.03-1.43) and health-related unemployment (OR = 1.49, 95 % CI 1.18-1.88).

CONCLUSIONS

Rural survivors may need tailored, accessible health promotion interventions to address health-compromising behaviors and improve outcomes after cancer.