Rural cancer disparities from Oklahoma cancer and vital records registries 2016-2020.

OBJECTIVES: Compared to Oklahoma, 33 states have higher all-cause cancer incidence rates, but only three states have higher all-cause cancer mortality rates. Given this troubling gap between Oklahoma's cancer incidence and mortality rankings, in-depth examination of cancer incidence, staging, and mortality rates among this state's high-risk populations is warranted. This study provides in-depth information on overall and cause-specific cancer incidence and mortality for the rural and urban Oklahoma populations classified by Rural-Urban Continuum Codes (RUCC). METHODS: Data were publicly available and de-identified, accessed through Oklahoma Statistics on Health Available for Everyone (OK2SHARE). Statistical analysis included calculating age-specific rates, age-adjusted rates, and percentages, as well as assessing temporal patterns using average annual percent change with 95 % confidence intervals determined by Joinpoint regression analysis. FINDINGS: Urban areas had a higher proportion of female breast cancer cases, while large and small rural areas had higher rates of lung and bronchus cancer. Urban residents were more likely to have private insurance and less likely to have Medicare compared to rural residents. Cancer incidence rates increased with age, and men had higher mortality rates than women. Lung and bronchus cancer was the leading cause of cancer death, with lower rates in urban areas compared to rural areas. CONCLUSIONS: Findings demonstrate the need to improve the early detection of cancer among the rural populations of Oklahoma. Additionally, the high mortality rates for most types of cancer experienced by the state's rural population underscores the need to improve cancer detection and treatment in these locations.

Tobacco and marijuana use during the COVID-19 pandemic lockdown among American Indians residing in California and Oklahoma.

INTRODUCTION: American Indian (AI) people experience a disproportionate tobacco and marijuana burden which may have been exacerbated by the COVID-19 pandemic. Little is known about the tobacco and marijuana habits of American Indian individuals during the COVID-19 pandemic. The objective of this study is to examine tobacco and marijuana use as well as change in use during the COVID-19 pandemic among the American Indian community. METHODS: This cross-sectional study analyzes survey data from a convenience sample of American Indian individuals residing in California and Oklahoma and included adults with and without cancer that resided in both rural and urban areas (n=1068). RESULTS: During October 2020 - January 2021, 36.0% of participants reported current use of tobacco products, 9.9% reported current use of marijuana products, and 23.7% reported increased use of tobacco and/or marijuana in the past 30 days, with no difference between those with cancer and those without cancer. Tobacco use was associated with marital status, age, employment status, COVID-19 exposure, COVID-19 beliefs, and alcohol consumption. Marijuana use was associated with COVID-19 beliefs, alcohol consumption, and income level. Increased tobacco and/or marijuana use was associated with baseline use of those products. Nearly a quarter of participants reported increased use of tobacco and/or marijuana products during the COVID-19 pandemic. CONCLUSIONS: We observed high rates of tobacco use during the COVID-19 pandemic, consistent with other studies. Research is needed to examine whether tobacco and marijuana use will decrease to pre-pandemic levels post-pandemic or if these behaviors will persist post-pandemic. Given these findings, there is a pressing need to increase access to evidence-based tobacco and marijuana treatment services in the AI population post COVID-19 pandemic.

Avoidance of medical care among American Indians with a history of cancer during the coronavirus pandemic.

Objectives: Assess the percentage of cancer-related appointment delays, cancelations, and the unavailability of medications experienced by American Indian participants during the COVID-19 pandemic. Methods: This cross-sectional survey study was completed between October 2020 and July 2021 by 360 individuals with cancer who lived in California and Oklahoma. Binary and multivariate logistic regression analysis was completed in SAS 9.4. Results: During the initial Covid-19 pandemic, almost one-third (30%) of respondents delayed cancer-related appointments, 42% canceled cancer-related appointments, and one-quarter (24%) were unable to access prescription medications or over-the-counter medications (27%) due to COVID-19. People who underwent testing for COVID-19 were five times more likely to delay a medical appointment [adjusted odds ratio (aOR) = 5.3, 95% CI:2.4, 11.7] and people who followed three or more social distancing measures were more than six times more likely to cancel medical appointments (aOR:6.3, 95% CI:2.9, 13.9). Conclusion: This study identifies delays, cancelations, and medication inaccessibility people identifying as American Indian faced during the coronavirus pandemic. Disparities in healthcare delivery could contribute to increased morbidity and mortality rates of cancer.

Analysis of Geographic Accessibility of Breast, Lung, and Colorectal Cancer Screening Centers Among American Indian and Alaskan Native Tribes.

PURPOSE: To evaluate geographic accessibility of ACR mammographic screening (MS), lung cancer screening (LCS), and CT colorectal cancer screening (CTCS) centers among US federally recognized American Indian and Alaskan Native (AI/AN) tribes. METHODS: Distances from AI/AN tribes' ZIP codes to their closest ACR-accredited LCS and CTCS centers were recorded using tools from the ACR website. The FDA's database was used for MS. Persistent adult poverty (PPC-A), persistent child poverty (PPC-C), and rurality indexes (rural-urban continuum codes) were from the US Department of Agriculture. Logistic and linear regression analyses were used to assess distances to screening centers and relationships among rurality, PPC-A, and PPC-C. RESULTS: Five hundred ninety-four federally recognized AI/AN tribes met the inclusion criteria. Among all closest MS, LCS, or CTCS center to AI/AN tribes, 77.8% (1,387 of 1,782) were located within 200 miles, with a mean distance of 53.6 ± 53.0 miles. Most tribes (93.6% [557 of 594]) had MS centers within 200 miles, 76.4% (454 of 594) had LCS centers within 200 miles, and 63.5% (376 of 594) had CTCS centers within 200 miles. Counties with PPC-A (odds ratio [OR], 0.47; P < .001) and PPC-C (OR, 0.19; P < .001) were significantly associated with decreased odds of having a cancer screening center within 200 miles. PPC-C was associated with decreased likelihood of having an LCS center (OR, 0.24; P < .001) and an CTCS center (OR, 0.52; P < .001) within the same state as the tribe's location. No significant association was found between PPC-A and PPC-C and MS centers. CONCLUSIONS: AI/AN tribes experience distance barriers to ACR-accredited screening centers, resulting in cancer screening deserts. Programs are needed to increase equity in screening access among AI/AN tribes.

Characteristics of patient navigation programs in the Cancer Moonshot ACCSIS colorectal cancer screening initiative.

BACKGROUND: Although patient navigation has shown promise for increasing participation in colorectal cancer screening and follow-up, little evidence is available to guide implementation of patient navigation in clinical practice. We characterize 8 patient navigation programs being implemented as part of multi-component interventions of the National Cancer Institute's Cancer Moonshot Accelerating Colorectal Cancer Screening and Follow-Up Through Implementation Science (ACCSIS) initiative. METHODS: We developed a data collection template organized by ACCSIS framework domains. The template was populated by a representative from each of the 8 ACCSIS research projects. We report standardized descriptions of 1) the socio-ecological context in which the navigation program was being conducted, 2) navigation program characteristics, 3) activities undertaken to facilitate program implementation (eg, training), and 4) outcomes used in program evaluation. RESULTS: ACCSIS patient navigation programs varied broadly in their socio-ecological context and settings, the populations they served, and how they were implemented in practice. Six research projects adapted and implemented evidence-based patient navigation programs; the remaining projects developed new programs. Five projects began navigation when patients were due for initial colorectal cancer screening; 3 projects began navigation later in the screening process, when patients were due for follow-up colonoscopy after an abnormal stool-test result. Seven projects relied on existing clinical staff to deliver the navigation; 1 hired a centralized research navigator. All project researchers plan to evaluate the effectiveness and implementation of their programs. CONCLUSIONS: Our detailed program descriptions may facilitate cross-project comparisons and guide future implementation and evaluation of patient navigation programs in clinical practice.

Oncology and Primary Care Provider Views on Cancer Survivorship Care: Mind the Gap.

CONTEXT: Coordination between oncology and primary care practices in cancer survivorship is lacking. OBJECTIVE: To identify cancer care coordination perceptions, knowledge, and practices in a sample of Oklahoma oncology care providers (ONCs) and primary care providers (PCPs) regarding post-treatment care of adult cancer survivors. DESIGN: Cross-sectional, statewide survey by mail/web link in 2014/5. SETTING: PCPs identified through a primary care research network, primary care organization membership lists; ONCs identified through www.Healthgrades.com. PARTICIPANTS: Contacts who were clinically active and seeing cancer patients were eligible. The final sample size included 101 ONCs and 58 PCPs who reported actively seeing cancer patients. MEASURES: Responses to predominately Likert scale or ranked-order questions derived from the Survey of Physician Attitudes Regarding the Care of Cancer Survivors. ANALYSES: Chi square and t tests were performed to test bivariate associations between provider type and survey measures. RESULTS: Statistically significant differences (P < .05) between ONC and PCP perceptions were observed for several questions on communication between the 2 provider types, ONC perceptions of PCP ability to address survivorship care, and responsibilities for post-treatment care. CONCLUSIONS: Highly discrepant perspectives between ONCs and PCPs regarding communications and responsibilities for survivorship care may lead to adverse health outcomes. Interventions aimed at improving care coordination for cancer survivors should define each provider group's responsibilities in survivorship care, and create structures and processes that foster clear channels of communication between ONC and PCP practices.

Linking the Cherokee Nation Cancer Registry With Electronic Medical Records: A Tribal-Academic Center Partnership.

The Cherokee Nation Cancer Registry (CNCR) is the only tribally operated Surveillance, Epidemiology, and End Results program registry. As registries, including the CNCR, lack detailed data characterizing health behavior or comorbidity, we aimed to enrich the CNCR by linking it with Cherokee Nation's electronic medical record (EMR). We describe the process of a tribal-academic partnership and linking records between the CNCR and the EMR for American Indian people diagnosed with cancer from 2015 to 2020. Prior to data linkage, our team worked with the Cherokee Nation Governance Board and Institutional Review Board to ensure tribal data sovereignty was maintained. While not all persons in the CNCR receive health care at Cherokee Nation, 63% linked with an EMR. We observed differences (P < .001) between cancer site, year at diagnosis, age at diagnosis, and gender by EMR linkage status. Once we further validate linkages and assess data completeness, we will evaluate relationships between behavioral risk factors, comorbidities, and cancer outcomes.

Impact of e-cigarette use among a cohort of American Indian cigarette smokers: associations with cigarette smoking cessation and cigarette consumption.

INTRODUCTION: Despite American Indian/Alaska Native (AI/AN) people having the highest prevalence of cigarette smoking nationwide, few studies have evaluated e-cigarette use among AI/AN adults who smoke. The primary objective of this observational pilot cohort study was to determine if e-cigarette use is associated with cigarette smoking cessation or reduction among adult AI individuals who smoke. METHODS: In 2016, we collected baseline survey and biomarker data among AI adults who smoke. The survey included questions about cigarette consumption and use of e-cigarettes and biomarkers, such as salivary cotinine markers and exhaled carbon monoxide. After 18 months, we repeated data collection, and asked about changes in cigarette smoking status and cigarettes per day (CPD). Comparisons between groups were performed using the χ2 test, Fisher's exact test or Wilcoxon rank-sum test. RESULTS: Of 375 baseline participants, 214 (57.07%) returned for follow-up and were included in analyses. Of these, 20 (9.3%) reported having stopped cigarette smoking and had biochemical verification of cigarette smoking abstinence. Among those who quit smoking, 15% were baseline e-cigarette users; while among those who continued to smoke at follow-up, about 11% were baseline e-cigarette users. This difference was not statistically significant (p=0.48). Among all those who continued to smoke at follow-up, there was no overall decrease in CPD, nor a significant difference in change in CPD between baseline e-cigarette users and non-users (p=0.98). CONCLUSIONS: E-cigarette use at baseline was not associated with smoking cessation or a change in CPD in this cohort of AI adults who smoke after an 18-month follow-up period.

Use of Potentially Reduced Exposure Tobacco Products Among American Indian Smokeless Tobacco Users: Associations With Cessation Behaviors and Cotinine Levels.

OBJECTIVES: American Indian/Alaska Native (AI/AN) adults use smokeless tobacco products (eg, chewing and dip tobacco) more often than other racial/ethnic groups do. Although US adults increasingly use potentially reduced exposure tobacco products (PREPs), such as electronic cigarettes and snus, no studies have examined the use of PREPs among AI/AN smokeless tobacco users. We examined associations between current PREPs use and smokeless tobacco-related measures, including cessation attempts and cotinine levels, in a sample of American Indian adults who currently use smokeless tobacco. METHODS: We collected survey and tobacco biomarker data from 299 adult American Indian smokeless tobacco users at Cherokee Nation health care facilities and events in 2016 and 2017. We used multivariable analyses to determine associations between current PREPs use and smokeless tobacco-related characteristics. RESULTS: Current PREPs users were younger, less likely to be married or living with a partner, less likely to report a chronic medical condition, and more likely to report other tobacco use than PREPs nonusers. Among participants with annual household incomes ≤$30 000, current PREPs users were less likely than PREPs nonusers to report a definite desire to quit smokeless tobacco (P = .02). PREPs use was not associated with planning to quit smokeless tobacco, past 12-month smokeless tobacco quit attempts, amount of smokeless tobacco used per week, cotinine levels, or scores on the Fagerström Test for Nicotine Dependence-Smokeless Tobacco. CONCLUSIONS: Our study suggests that American Indian smokeless tobacco users may not be using PREPs as a smokeless tobacco cessation aid. Future studies should take this finding into consideration when evaluating the role of PREPs use in smokeless tobacco cessation and in total tobacco cessation in this population.

Vaping patterns, nicotine dependence and reasons for vaping among American Indian dual users of cigarettes and electronic cigarettes.

BACKGROUND: The American Cancer Society discourages the dual use of electronic cigarettes (ECs) and cigarettes because such use has not resulted in reduced exposures to the harmful effects of smoking. American Indian (AI) people have the highest prevalence of smoking and of EC use in the United States, but very little is known about dual EC and cigarette use in AI communities. METHODS: In 2016, 375 adult AI in Oklahoma who smoked cigarettes completed a survey about EC use (vaping). We describe vaping patterns, nicotine dependence, and reasons for EC use among the subset of 44 (12%) current dual EC users. To differentiate habitual EC users from occasional or merely curious users, we defined dual use as using ECs on some days or every day in the past 30 days. RESULTS: About one-third of dual users vaped ten or more times daily. About two-thirds used a tank product. Eleven percent used ECs without nicotine and another 9% were unsure of the nicotine content. A minority (40%) enjoyed vaping more than smoking, and most (76%) would smoke first on days they did both. Thirty-one percent vaped within 5 min of waking and another 24% within 30 min. Although the two-item heaviness of use index did not differ significantly between smoking and vaping, the ten-item Penn State Dependence Index (PSDI) suggested greater dependence on smoking than vaping (11.02 vs. 6.42, respectively; p < .0001). The most common reasons for vaping were to reduce smoking (79%), enjoyment of flavors (78%), and ability to vape where smoking is not allowed (73%). Perceptions of less harm to others (69%) or to self were the next most common (65%). Fewer than half used ECs to reduce stress, for affordability, or because others used them. CONCLUSIONS: Nearly 20% of dual users used ECs either without nicotine or without knowing if the product contained nicotine. The PSDI indicated greater dependence on smoking than vaping. Reasons for vaping were nearly equal between smoking reduction and enjoying flavors. Understanding patterns of dual use will inform future efforts to address nicotine dependence for AI communities with high prevalence of smoking.

Dual Versus Never Use of E-Cigarettes Among American Indians Who Smoke.

INTRODUCTION: Many American Indian communities have a high prevalence of smoking and e-cigarette use, but factors associated with their dual use are rarely studied. METHODS: In 2016, a total of 375 American Indian adults who smoke completed paper surveys regarding cigarette and e-cigarette use and provided saliva for cotinine levels. In 2018, cross-sectional analyses were performed, comparing dual users (12%), defined as using e-cigarettes on some or every day for the past 30 days, with never users of e-cigarettes (37%). RESULTS: Compared with never users, dual users were younger, more often reported history of depression (56% and 29%, respectively; p<0.01) and family history of smoking-related disease (77% and 59%, respectively; p<0.05), had lower harm perceptions of e-cigarettes (27% and 47%, respectively; p<0.01) or vapor (14% and 35%, respectively; p<0.01), and more often perceived e-cigarettes as cessation aids (75% and 16%, respectively; p<0.01) and as less harmful than cigarettes (70% and 17%, respectively; p<0.01). Dual users were less often uncertain/unknowing about e-cigarette benefits or harms (p<0.01) and more often reported likelihood to quit smoking (49% and 24%, respectively; p<0.01) and prior attempt to quit smoking, ever (89% and 67%, respectively; p<0.01) or in the past year (55% and 32%, respectively; p=0.01). Cigarette consumption and cotinine levels did not differ between groups. Dual users more often tried other nicotine products (p<0.02) and more often lived with a vaping partner/spouse (45% and 6%, respectively; p<0.01). CONCLUSIONS: Dual users perceived e-cigarettes as less harmful than cigarettes and more as cessation aids than cigarette-only users did, but cigarette consumption did not differ between groups. Whether e-cigarettes will reduce smoking-related disparities among American Indian people remains undetermined.

Perceptions of Smoking and Vaping on Weight Control Among Adult American Indians Who Smoke.

Interest in electronic cigarette (EC) use, or vaping, to help control weight is increasing. Many American Indian (AI) populations have a high prevalence of smoking, obesity, and EC use, but their perceptions of EC use for weight control are unknown. In Oklahoma in 2016, 375 AI adults who smoke completed a survey including perceptions about smoking and EC effects on weight control. Only 24% believed that smoking helps control weight, and 8% believed that vaping helps control weight. Perceptions differed by EC use, with ever users more often than never users perceiving that smoking (30% vs 12%, respectively; p < .01) and vaping (10% vs 5%; p = .04) help to control weight. Sex, age group (18-44 years vs 45 + years), education (high school graduate/equivalent vs less than high school), smoking cessation attempt in past year, and likelihood to quit in 6 months were not associated with weight control perceptions for either smoking or vaping. Uncertainty regarding EC effects on weight control was less common among EC ever users compared to never users (41% vs 53%, respectively; p = .04). Most people who did not believe or were uncertain that smoking controls weight also did not believe or were uncertain that vaping controls weight. However, only a minority (29%) of people who believed smoking controls weight also believed that vaping controls weight. Among adult AI who smoke, both smoking and vaping were infrequently perceived as helping to control weight, but such perceptions were reported more frequently among those who ever used ECs.

E-cigarettes and Tobacco Exposure Biomarkers among American Indian Smokers.

Objective We assessed associations between electronic cigarette (e-cigarette) use and smoking-related measures among American Indians (AIs) who smoke. MethodsWe collected baseline survey and smoking biomarker data in a cohort of 375 adult AI smokers at a Cherokee Nation healthcare facility in Oklahoma. We used multivariate logistic and linear regression analyses to determine associations between e-cigarette use and smoking-related characteristics, including biomarkers. ResultsCurrent e-cigarette users were more likely than never users to report a quit attempt in the past 12 months (current vs never adjusted odds ratio (AOR) = 2.24 [95% CI 1.20-4.16]). Current and past e-cigarette users were more likely than never users to report a likelihood to quit smoking (current vs never AOR = 2.97 [95% CI 1.34-6.56]; past vs never AOR = 1.77 [95% CI 1.08-2.91]). E-cigarette use was not significantly associated with confidence to quit smoking, cigarette packs smoked per day, or cotinine levels. ConclusionsE-cigarette use was associated with previous and future quit attempts, but not with reductions in cigarette smoking or confidence in quitting. This suggests that many dual users might benefit from the addition of evidence-based smoking cessation treatments.

Patient Perspectives on Discussions of Electronic Cigarettes in Primary Care.

PURPOSE: Patient preferences regarding the role of the primary care provider (PCP) in discussing electronic cigarette (e-cigarette) use are unknown. METHODS: We administered a cross-sectional survey to 568 adult patients in a family medicine clinic to explore e-cigarette use, sources of information on e-cigarettes, perceived knowledge about e-cigarette health effects, views regarding PCP knowledge of e-cigarettes, interest in discussing e-cigarettes with PCPs and preferred format for e-cigarette information. We performed χ2 testing with a 2-tailed P < .05 to assess associations between e-cigarette use and these measures. RESULTS: The prevalence of e-cigarette use was 10% for recent (≤30 days) use and 29% for nonrecent (>30 days) use. Prevalence was significantly higher among those who were younger, less educated, or smoked cigarettes, but did not vary by sex or self-reported health status. Roughly one quarter of participants believed they were knowledgeable about the health effects of e-cigarettes, secondhand smoke, and quitting cigarettes. Sources of e-cigarette information included television advertisements (56.6%), friends and family (49.9%), or e-cigarette shops (25.5%), but included physician offices much less frequently (6.0%). Although 30.2% disagreed that their PCP knew a lot about e-cigarettes, 62.0% were comfortable discussing e-cigarettes with their PCP. However, only 25% of all patients wanted their PCP to discuss e-cigarettes with them, but 62.0% of recent e-cigarette users wanted such a discussion. Most preferred a brief discussion or handout to a lengthy discussion. CONCLUSION: PCPs were infrequent sources of information for patients regarding e-cigarette use. PCPs need evidence-based strategies to help them address e-cigarettes in primary care.

Biological effects and epidemiological consequences of arsenic exposure, and reagents that can ameliorate arsenic damage in vivo.

Through contaminated diet, water, and other forms of environmental exposure, arsenic affects human health. There are many U.S. and worldwide "hot spots" where the arsenic level in public water exceeds the maximum exposure limit. The biological effects of chronic arsenic exposure include generation of reactive oxygen species (ROS), leading to oxidative stress and DNA damage, epigenetic DNA modification, induction of genomic instability, and inflammation and immunomodulation, all of which can initiate carcinogenesis. High arsenic exposure is epidemiologically associated with skin, lung, bladder, liver, kidney and pancreatic cancer, and cardiovascular, neuronal, and other diseases. This review briefly summarizes the biological effects of arsenic exposure and epidemiological cancer studies worldwide, and provides an overview for emerging rodent-based studies of reagents that can ameliorate the effects of arsenic exposure in vivo. These reagents may be translated to human populations for disease prevention. We propose the importance of developing a biomarker-based precision prevention approach for the health issues associated with arsenic exposure that affects millions of people worldwide.

Choctaw Nation Youth Sun Exposure Survey.

The incidence of skin cancer is rising among American Indians (AI) but the prevalence of harmful ultraviolet light (UVL) exposures among AI youth is unknown. In 2013, UVL exposures, protective behaviors, and attitudes toward tanning were assessed among 129 AI and Non-Hispanic (NHW) students in grades 8-12 in Southeastern Oklahoma. Sunburn was reported by more than half the AI students and most of the NHW students. One-third of AI students reported never using sunscreen, compared to less than one-fifth of NHW students, but racial differences were mitigated by propensity to burn. Less than 10% of students never covered their shoulders when outside. Girls, regardless of race, wore hats much less often than boys. Regardless of race or sex, more than one-fourth of students never stayed in the shade, and more than one-tenth never wore sunglasses. The prevalence of outdoor tanning did not differ by race, but more than three-fourths of girls engaged in this activity compared to less than half the boys. Indoor tanning was reported by 45% of the girls, compared to 20% of girls nationwide, with no difference by race. Nearly 10% of boys tanned indoors. Among girls, 18% reported more than ten indoor tanning sessions. Over one-quarter of participants agreed that tanning makes people look more attractive, with no significant difference by race or sex. Investigations of UVL exposures should include AI youth, who have not been represented in previous studies but whose harmful UVL exposures, including indoor tanning, may place them at risk of skin cancer.

Treatment of early-stage prostate cancer among rural and urban patients.

BACKGROUND: Geographic barriers and limited availability of cancer specialists may influence early prostate cancer treatment options for rural men. This study compares receipt of different early prostate cancer treatments between rural and urban patients. METHODS: Using 2004-2006 SEER Limited-Use Data, 51,982 early prostate cancer patients were identified (T1c, T2a, T2b, T2c, T2NOS; no metastases) who were most likely to benefit from definitive treatment (< 75 years old, Gleason score < 8, PSA ≤ 20). Definitive treatment included radical prostatectomy, daily external beam radiation for 5 to 8 weeks, brachytherapy, or combination external beam radiation/brachytherapy. Adjusted definitive treatment rates were calculated by rural-urban residence overall, and for different sociodemographic and cancer characteristics, and different states based on logistic regression analyses, using general estimating equation methods to account for clustering by county. RESULTS: Adjusted definitive treatment rates were lower for rural (83.7%) than urban (87.1%) patients with early-stage prostate cancer (P ≤ .01). Rural men were more likely than urban men to receive non-definitive surgical treatment and no initial treatment. The lowest definitive treatment rates were among rural subgroups: 70 to 74 years (73.9%), African Americans (75.6%), American Indians/Alaska Natives (77.8%), single/separated/divorced (76.8%), living in New Mexico (69.3%), and living in counties with persistent poverty (79.6%). CONCLUSIONS: Between 2004 and 2006, this adjusted analysis found that men who were living in rural areas were less likely to receive definitive treatment for their early-stage prostate cancer than those living in urban areas. Certain rural patient groups with prostate cancer need particular attention to ensure their access to appropriate treatment. Rural providers, rural health care systems, and cancer advocacy and support organizations should ensure resources are in place so that the most vulnerable rural groups (men between 60 and 74 years of age; African American men; men who are single, separated, or divorced; and men living in rural New Mexico) can make informed prostate cancer treatment choices based on their preferences.

Health professional advice for smoking and weight in adults with and without diabetes: findings from BRFSS.

Health risk behaviors including smoking and weight-gain can cause and exacerbate chronic diseases like diabetes. Brief provider advice is an effective intervention to reduce risk from these behaviors. However, behavioral advice is provided more often to those who already have a chronic illness when compared with those who are at risk. The purpose of this study is to determine whether the frequency of provider advice for smoking cessation and weight loss varies between overweight or obese smokers with and without diabetes. BRFSS data from a subset of overweight and obese smokers with (n = 848) and without (n = 6,279) diabetes were analyzed to determine differences in reported provider advice. Overweight and obese smokers with diabetes reported receiving more advice for both weight (46.4% vs. 23.4%, P < 0.001) and smoking (84.5% vs. 72.8%, P < 0.001) compared to those without diabetes. Advice for smoking cessation was reported two to three times more often than advice for weight. Nearly a quarter of those with diabetes and almost half of those without reported no receipt of advice about weight. Results indicate that providers are not adequately addressing overweight and obesity in patients with and at risk for diabetes.

Receipt of recommended radiation therapy among rural and urban cancer patients.

BACKGROUND: Rural populations have limited geographic access to radiation therapy. The current study examines whether rural patients with cancer are less likely than urban patients with cancer to receive recommended radiation therapy, and identifies factors influencing rural versus urban differences in radiation therapy receipt. METHODS: The current study included 14,692 rural and 107,834 urban patients with 5 cancer types and stages for which radiation therapy was recommended. The authors used 2000 to 2004 Surveillance, Epidemiology, and End Results (SEER) Limited-Use Data from 8 state-based (California, Connecticut, Hawaii, Iowa, Kentucky, Louisiana, New Mexico, and Utah) and 3 county-based (Atlanta, rural Georgia, and Seattle/Puget Sound) cancer registries. Adjusted radiation therapy receipt rates were calculated by rural versus urban residence overall, for different sociodemographic and cancer characteristics, and for different states based on logistic regression analyses using general estimating equation methods to account for patient clustering by county. RESULTS: Adjusted rates of radiation therapy receipt were lower for rural (62.1%) than urban (69.1%) patients with breast cancer (P ≤ .001). Among patients with breast cancer, radiation therapy receipt differed more by sociodemographic characteristics (eg, rural patients aged < 50 years had a 67.1% receipt rate, whereas those aged ≥ 80 years had a radiation therapy receipt rate of 29.1%) than rural versus urban residence. Adjusted rates of radiation therapy receipt were similar for rural and urban patients with other cancer types overall (66.1% vs 68.2%; difference not significant), although there were differences between urban and rural patients with regard to radiation therapy receipt for patients with stage IIIA nonsmall cell lung cancer (66.2% vs 60.7%; P ≤ .01). CONCLUSIONS: Sociodemographics, cancer types and stages, and state of residence appear to have a greater influence over receipt of radiation therapy than rural versus urban residence location, suggesting that factors such as social support, receipt of other cancer treatments, and regional practice patterns are important determinants of radiation therapy receipt.

The challenge to delivering oral health services in rural America.

OBJECTIVES: This review identifies the challenges to oral health in rural America and describes areas of innovation in prevention, delivery of dental services, and workforce development that may improve oral health for rural populations. METHODS: This descriptive article is based on literature reviews and personal communications. RESULTS: Rural populations have lower dental care utilization, higher rates of dental caries, lower rates of insurance, higher rates of poverty, less water fluoridation, fewer dentists per population, and greater distances to travel to access care than urban populations. Improving the oral health of rural populations requires practical and flexible approaches to expand and better distribute the rural oral health workforce, including approaches tailored to remote areas. Solutions that involve mass prevention/public health interventions include increasing water fluoridation, providing timely oral health education, caries risk assessment and referral, preventive services, and offering behavioral interventions such as smoking and tobacco cessation programs. Solutions that train more providers prepared to work in rural areas include recruiting students from rural areas, training students in rural locations, and providing loan repayment and scholarships. Increasing the flexibility and capacity of the oral health workforce for rural areas could be achieved by creating new roles for and new types of providers. Solutions that overcome distance barriers include mobile clinics and telehealth technology. CONCLUSIONS: Rural areas need flexibility and resources to develop innovative solutions that meet their specific needs. Prevention needs to be at the front line of rural oral health care, with systematic approaches that cross health professions and health sectors.