Challenges of using nationally representative, population-based surveys to assess rural cancer disparities

Vaccination Motivators and Deterrents Among Undervaccinated Older Adults in North Dakota

Despite increased risk of morbidity and mortality among older adults due to preventable infectious diseases such as influenza, shingles, pneumonia, and COVID-19, many forego receiving some, if not all, of these vaccinations. This study examines vaccination motivators and deterrents for undervaccinated older adults in North Dakota (ND). Adults aged 65+ in ND were mailed a survey (n = 901) with questions gauging vaccination behaviors and perceptions, with 132 of these indicating not receiving certain vaccinations. Further questions assessed reasons they have not been vaccinated against the following diseases: influenza, shingles, pneumonia, and COVID-19 (e.g., "Concerned about side effects", "Vaccines are dangerous", "I'm healthy and I do not need it") and what would make it more likely to get a vaccine (e.g., "More information", "Doctor recommendation", "Easy access to vaccines"). Reasons for remaining unvaccinated varied by vaccine. For influenza and pneumococcal vaccines, respondents were more likely to indicate they are healthy and do not need the vaccine. For shingles and COVID-19, respondents were more likely to indicate concerns about side effects. Factors reported to motivate increasing the likelihood of getting a vaccine were receiving a doctor recommendation, receiving more information, and having a vaccine provided at no cost. These results contribute to our understanding of vaccination behaviors among older adults and underscore specific issues around which to frame interventions tailored to increase vaccine uptake for this population.

Reliance on sources of immunization information and vaccine uptake among older adults in a rural state: The mediating role of trust

Older adults are more vulnerable to the negative impacts of infectious diseases than younger individuals. However, regardless of the importance and effectiveness of vaccines to reduce morbidity and mortality, issues remain with vaccine hesitancy among this population. Older adults' sources of immunization information and their level of trust in those sources may play a role in their vaccination behaviors. This research aimed to better understand the role of information sources and related issues of trust as related to vaccine uptake among older adults. A community-based, cross-sectional survey was conducted with 901 older adults in North Dakota in May-July 2022. Measures included extent of reliance on specific sources of immunization information, levels of trust, and uptake for influenza, pneumonia, shingles, and COVID-19 vaccinations. Immunization information sources were grouped into medical experts, informal, and public outlets. Results indicated older adults were more likely to rely on medical experts than informal sources or public outlets for immunization information. Greater reliance on medical experts was associated with a greater likelihood of vaccine uptake for all vaccines, while reliance on public outlets was associated with a greater likelihood of vaccine uptake only for COVID primary series and boosters. Reliance on informal sources for immunization information was associated with a reduced likelihood of vaccine uptake for all vaccines except shingles. Nearly half of respondents were uncertain who to trust for vaccine information. Uncertainty who to trust for immunization information significantly mediated the associations between reliance on medical experts and uptake for most vaccines indicating that trust in medical experts fosters vaccine uptake. Increasing reliance on medical experts as sources of immunization information is vital to increasing vaccine uptake among older adults. Additionally, this population must be assisted in increasing their ability to successfully assess the trustworthiness of immunization information sources.

How rural is All of Us? Comparing characteristics of rural participants in the National Institute of Health's All of Us Research Program to other national data sources

PURPOSE

The National Institute of Health's All of Us Research Program represents a national effort to develop a database to advance health research, especially among individuals historically underrepresented in research, including rural populations. The purpose of this study was to describe the rural populations identified in the All of Us Research Program using the only proxy measure currently available in the dataset.

METHODS

Currently, the All of Us Research Program provides a proxy measure of rurality that identifies participants who self-reported delaying care due to far travel distances associated with living in rural areas. Using the All of Us Controlled Tier Dataset v6, we compared sociodemographic and health characteristics of All of Us rural participants identified via this proxy to rural US residents from nationally representative data sources using chi-squared tests.

RESULTS

3.1% of 160,880 All of Us participants were rural, compared to 15%-20% of US residents based on commonly accepted rural definitions. Proportionally more rural All of Us participants reported fair or poor health status, history of cancer, and history of heart disease (P<.01).

CONCLUSIONS

The All of Us measure may capture a subset of underserved participants who live in rural areas and experience health care access barriers due to distance. Researchers who use this proxy measure to characterize rurality should interpret their findings with caution due to differences in population and health characteristics using this proxy measure rural compared to other commonly used rural definitions.

Differences in obesity-related health behaviors and health outcomes by rural and Appalachian residency

PURPOSE

Obesity and health behaviors are the major modifiable contributors to cancer and health disparities. We examined the differences in obesity-related health behaviors, and health outcomes by rural and Appalachian residency in Ohio.

METHODS

Cross-sectional survey data from the 2011-2019 Behavioral Risk Factor Surveillance System were obtained from the Ohio Department of Health. County-level identifiers were used to classify urban non-Appalachian, urban Appalachian, rural non-Appalachian, and rural Appalachian residency. Self-reported weight, height, health behaviors, and health conditions were used. Logistic regression was used to assess the difference in health behaviors and health outcomes by rural and Appalachian residency. All analyses incorporated with sample weights.

RESULTS

Among Ohio residents, compared to urban non-Appalachian residents, urban Appalachian and rural Appalachian residents had a higher prevalence of obesity, hypertension, high cholesterol, and cardiovascular diseases, as well as lower rates of healthy diet and physical activity. No difference was found in trends of obesity and obesity-related health outcomes in 2011-2019 by rural and Appalachian residency. However, rural Appalachian residents had a greater increase in obesity, hypertension, and diabetes, whereas rural non-Appalachian had favorable changes in obesity-related health behaviors. Additionally, associations between health behaviors and obesity-related health outcomes differed by rural and Appalachian residency.

CONCLUSIONS

Findings underscore the importance of distinguishing between urban non-Appalachian, urban Appalachian, rural non-Appalachian, and rural Appalachian populations when assessing health disparities. While the trends of obesity and obesity-related health outcomes did not differ, the association between health behaviors and obesity-related outcomes differed by rural and Appalachian residency.

Synthesizing 30-years of adult medicaid dental policy research: A scoping review to identify gaps and opportunities

Objective

Despite the importance of Medicaid for the oral health of low-income adults, the extent to which Medicaid dental policy variation influences outcomes is unknown. This study aims to review the evidence evaluating adult Medicaid dental policies to synthesize conclusions and motivate future research.

Data sources

A comprehensive search of academic literature published in English between 1991 and 2020 was conducted to identify studies which evaluated an adult Medicaid dental policy for its effect on outcomes. Studies strictly involving children, policies not related to adult Medicaid dental coverage, and non-evaluation studies were excluded. The data analysis identified the policies, outcomes, methods, populations, and conclusions of the included studies.

Results

Among the 2731 unique articles extracted, 53 met the inclusion criteria. 36 studies evaluated the effect of expanding Medicaid dental coverage, which was found to consistently increase dental service visits (21 studies) and reduce unmet dental needs (4 studies). Provider density, reimbursement rates, and level of benefits appear to influence the effect of expanding Medicaid dental coverage. The evidence for changing Medicaid benefits and reimbursement rates were mixed for its impact on provider participation and emergency dental services. Few studies examined how adult Medicaid dental policies impact health outcomes.

Conclusions

Most of the recent research has focused on evaluating the effect of expanding or reducing Medicaid dental coverage on dental service utilization. Future research investigating the impact of adult Medicaid dental policies on clinical, health, and wellness outcomes remains warranted.

Clinical significance

Low-income adults are responsive to Medicaid dental policy changes and utilize more care with more generous coverage. Less is known about how these policies influence health.

Measuring rurality in health services research: a scoping review

Purpose

This study is a scoping review of the different methods used to measure rurality in the health services research (HSR) literature.

Methods

We identified peer-reviewed empirical studies from 2010–2020 from seven leading HSR journals, including the Journal of Rural Health, that used any definition to measure rurality as a part of their analysis. From each study, we identified the geographic unit (e.g., county, zip code) and definition (e.g., Rural Urban Continuum Codes, Rural Urban Commuting Areas) used to classify categories of rurality. We analyzed whether geographic units and definitions used to classify rurality differed by focus area of studies, including costs, quality, and access to care. Lastly, we examined the number of rural categories used by authors to assess rural areas.

Findings

In 103 included studies, five different geographic units and 11 definitions were used to measure rurality. The most common geographic units used to measure rurality were county (n = 59, 57%), which was used most frequently in studies examining cost (n = 12, 75%) and access (n = 33, 57.9%). Rural Urban Commuting Area codes were the most common definition used to measure rurality for studies examining access (n = 13, 22.8%) and quality (n = 10, 44%). The majority of included studies made rural versus urban comparisons (n = 82, 80%) as opposed to focusing on rural populations only (n = 21, 20%). Among studies that compared rural and urban populations, most studies used only one category to identify rural locations (n = 49 of 82 studies, 60%).

Conclusion

Geographic units and definitions to determine rurality were used inconsistently within and across studies with an HSR focus. This finding may affect how health disparities by rural location are determined and thus how resources and federal funds are allocated. Future research should focus on developing a standardized system to determine under what circumstances researchers should use different geographic units and methods to determine rurality by HSR focus area.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08678-9.

Cancer disparities in the context of rurality: risk factors and screening across various U.S. rural classification codes

PURPOSE

Prior cancer research is limited by inconsistencies in defining rurality. The purpose of this study was to describe the prevalence of cancer risk factors and cancer screening behaviors across various county-based rural classification codes, including measures reflecting a continuum, to inform our understanding of cancer disparities according to the extent of rurality.

METHODS

Using an ecological cross-sectional design, we examined differences in cancer risk factors and cancer screening behaviors from the Behavioral Risk Factor Surveillance System and National Health Interview Survey (2008-2013) across rural counties and between rural and urban counties using four rural-urban classification codes for counties and county-equivalents in 2013: U.S. Office of Management and Budget, National Center for Health Statistics, USDA Economic Research Service's rural-urban continuum codes, and Urban Influence Codes.

RESULTS

Although a rural-to-urban gradient was not consistently evident across all classification codes, the prevalence of smoking, obesity, physical inactivity, and binge alcohol use increased (all p_trend < 0.03), while colorectal, cervical and breast cancer screening decreased (all p_trend < 0.001) with increasing rurality. Differences in the prevalence of risk factors and screening behaviors across rural areas were greater than differences between rural and urban counties for obesity (2.4% vs. 1.5%), physical activity (2.9% vs. 2.5%), binge alcohol use (3.4% vs. 0.4%), cervical cancer screening (6.8% vs. 4.0%), and colorectal cancer screening (4.4% vs. 3.8%).

CONCLUSIONS

Rural cancer disparities persist across multiple rural-urban classification codes, with marked variation in cancer risk factors and screening evident within rural regions. Focusing only on a rural-urban dichotomy may not sufficiently capture subpopulations of rural residents at greater risk for cancer and cancer-related mortality.

Trends in surgical treatment of early-stage breast cancer reveal decreasing mastectomy use between 2003 and 2016 by age, race, and rurality

PURPOSE

To examine trends in the surgical treatment of breast cancer by age, rurality, and among Black women in a populous, racially diverse, state in the Southeastern United States of America.

METHODS

We identified women diagnosed with localized or regional breast cancer between 2003 and 2016 in the North Carolina Central Cancer Registry (n = 86,776). Using Joinpoint regression we evaluated the average annual percentage change in proportion of women treated with mastectomy versus breast-conserving surgery overall, by age group, among Black women, and for women residing in rural areas.

RESULTS

Overall, the rate of mastectomy usage in the population declined 2.5% per year between 2003 and 2016 (95% CI - 3.2, - 1.7). Over this same time interval, breast-conserving surgery increased by 1.6% per year (95% CI 0.9, 2.2). These temporal trends in surgery were also observed among Black women and rural residing women. Trends in surgery type varied by age group: mastectomy declined over time among women > 50 years, but not among women aged 18-49 at diagnosis.

DISCUSSION

In contrast to national studies that reported increasing use of mastectomy, we found declining mastectomy rates in the early 2000s in a Southern US state with a racially and geographically diverse population. These decreasing trends were consistent among key subgroups affected by cancer inequities, including Black and White rural women.

Impact of socioeconomic status and rurality on cancer-specific survival among women with de novo metastatic breast cancer by race/ethnicity

PURPOSE

There are approximately 150,000 women living with metastatic breast cancer (mBC) in the United States. Disparities in de novo mBC incidence and mortality exist across race/ethnicity, socioeconomic status (SES), and rurality. However, how SES and rurality independently impact mBC outcomes across different racial/ethnic groups is not fully understood. The purpose of this study was to determine the impact of SES and rurality on cancer-specific mortality among women with mBC by race/ethnicity.

METHODS

We conducted a large, population-based retrospective cohort study in women aged 18 + years diagnosed with de novo mBC using the Surveillance, Epidemiology and End Results Census Tract-level SES and Rurality Database (2000-2015). Associations between SES/rurality and cancer-specific mortality were determined using Fine and Gray regression models. Subdistribution hazard ratios (SHR) and 95% confidence intervals (CI) by race/ethnicity and hormone receptor (HR) status were calculated.

RESULTS

A cohort of 33,976 women were included with the majority being White (67%), 17% Black, 0.4% American Indian/Alaskan Native, 6% Asian/Pacific Islander, and 10% Latina/Hispanic. We observed the greatest increased risk of BC mortality among Black women with HR-negative mBC residing in neighborhoods with lower SES (lowest versus highest quintile: SHR 1.38, 95% CI 1.00-1.90) and in rural areas compared to urban areas (SHR 1.27, 95% CI 1.01-1.59).

CONCLUSION

Overall, BC-specific survival among women with de novo mBC differs by race/ethnicity, with the greatest adverse impacts of SES and rurality affecting Black women with HR-negative disease.

Definition and categorization of "rural" and assessment of realized access to care

OBJECTIVE

To examine how three measures of realized access to care vary by definitions and categorizations of "rural".

DATA SOURCES

Health Information National Trends Survey (HINTS) data, a nationally representative survey assessing knowledge of health-related information, were used. Participants were categorized by county-based Urban Influence Codes (UICs), Rural-Urban Continuum Codes (RUCCs), and census tract-based Rural-Urban Commuting Area (RUCAs).

STUDY DESIGN

Three approaches were used across categories of UICs, RUCCs, and RUCAs: 1) non-metropolitan/metropolitan, 2) 3-group categorization based upon population size, and 3) 3-group categorization based on adjacency to metropolitan areas. Wald Chi-square tests evaluated differences in sociodemographic variables and three measures of realized access across 3 of Penchansky's "A's of access" and approaches. The three outcome measures included: having a regular provider (realized availability), self-reported "excellent" quality of care (realized acceptability), and self-report of the provider "always" spending enough time with you (provider attentiveness--realized accommodation). The average marginal effects corresponding to each outcome were calculated.

DATA COLLECTION/EXTRACTION METHODS

N/A PRINCIPAL FINDINGS: All approaches indicated comparable variation in sociodemographics. In all approaches, RUCA-based categorizations showed differences in having a regular provider (e.g., 68.9% of non-metropolitan and 64.4% of metropolitan participants had a regular provider). This association was attenuated in multivariable analyses. No rural-urban differences in quality of care were seen in unadjusted or adjusted analyses regardless of approach. After adjustment for covariates, rural respondents reported greater provider attentiveness in some categorizations of rural compared to urban (e.g., non-metropolitan respondents reported 6.03 percentage point increase in probability of having an attentive provider [CI = 0.76-11.31%] compared to metropolitan).

CONCLUSIONS

Our findings underscore the importance of considering multiple definitions of rural to understand access disparities and suggest that continued research is needed to examine the interplay between potential and realized access. These findings have implications for federal funding, resource allocation, and identifying health disparities. This article is protected by copyright. All rights reserved.

'Hybrid Survey' approach to non-communicable disease surveillance in the US-Affiliated Pacific Islands

In 2010 the US-Affiliated Pacific Islands (USAPI) declared a regional state of health emergency due to the epidemic of non-communicable disease (NCD) and an NCD monitoring and surveillance framework was developed that includes adult NCD risk factor and disease prevalence indicators to be collected every 5 years using a population-based survey. On evaluation of existing data from adult population-based NCD surveys, it was found that there was a lack of valid, available and consistently collected data. Therefore, a new model was developed to combine various indicators and survey tools from different partner agencies into one survey. After the report was endorsed by local health leadership, a dissemination workshop was conducted. In 2015 (baseline for Hybrid Survey implementation), three out of nine jurisdictions (33.3%) had completed a population-based survey in the past 5 years. Four (44.4%) had no adult prevalence data at all, two (22.2%) had data sets from their surveys and four (44.4%) had at least two surveys ever collected that could be used for comparison. As of 2020, all nine jurisdictions have, or are in the process of completing an adult population-based survey. Eight (88.9%) have data sets from their surveys, and five (55.6%) have at least two surveys collected that can be used for comparison. This Hybrid Survey model has helped to improve adult NCD surveillance in the USAPI by more efficiently using limited resources. This model could be considered in other small island nations, or rural areas where adult NCD surveillance is challenging.

Differences in Breast and Colorectal Cancer Screening Adherence Among Women Residing in Urban and Rural Communities in the United States

Importance

Screening for breast and colorectal cancer has resulted in reductions in mortality; however, questions remain regarding how these interventions are being diffused to all segments of the population. If an intervention is less amenable to diffusion, it could be associated with disparities in mortality rates, especially in rural vs urban areas.

Objectives

To compare the prevalence of breast and colorectal cancer screening adherence and to identify factors associated with screening adherence among women residing in rural vs urban areas in the United States.

Design, Setting, and Participants

This population-based cross-sectional study of women aged 50 to 75 years in 11 states was conducted from 2017 to 2020.

Main Outcomes and Measures

Adherence to cancer screening based on the US Preventative Services Task Force guidelines. For breast cancer screening, women who had mammograms in the past 2 years were considered adherent. For colorectal cancer screening, women who had (1) a stool test in the past year, (2) a colonoscopy in the past 10 years, or (3) a sigmoidoscopy in the past 5 years were considered adherent. Rural status was coded using Rural Urban Continuum Codes, and other variables were assessed to identify factors associated with screening.

Results

The overall sample of 2897 women included 1090 (38.4%) rural residents; 2393 (83.5%) non-Hispanic White women; 263 (9.2%) non-Hispanic Black women; 68 (2.4%) Hispanic women; 1629 women (56.2%) aged 50 to 64 years; and 712 women (24.8%) with a high school education or less. Women residing in urban areas were significantly more likely to be adherent to colorectal cancer screening compared with women residing in rural areas (1429 [82%] vs 848 [78%]; P = .01), whereas the groups were equally likely to be adherent to breast cancer screening (1347 [81%] vs 830 [81%]; P = .78). Multivariable mixed-effects logistic regression analyses confirmed that rural residence was associated with lower odds of being adherent to colorectal cancer screening (odds ratio [OR], 0.81; 95% CI, 0.66-0.99, P = .047). Non-Hispanic Black race was associated with adherence to breast cancer screening guidelines (OR, 2.85; 95% CI, 1.78-4.56; P < .001) but not colorectal cancer screening guidelines.

Conclusions and Relevance

In this cross-sectional study, women residing in rural areas were less likely to be adherent to colorectal cancer screening guidelines but were similarly adherent to breast cancer screening. This suggests that colorectal cancer screening, a more recent intervention, may not be as available in rural areas as breast cancer screening, ie, colorectal screening has lower amenability.

Rural-urban differences in HPV testing for cervical cancer screening

PURPOSE

Rural preventable cancer disparities are often attributed in part to lower screening rates secondary to compromised health care access. When considering higher cervical cancer incidence and mortality, existing analyses primarily consider differences in Pap testing rather than the preferred method of HPV testing, which is more sensitive in identifying severe cases of cervical dysplasia.

METHODS

Logistic regression using data from the 2016 and 2018 Behavioral Risk Factor Surveillance System was used to examine urban and rural rates of cervical cancer screening according to national guidelines. Propensity score weighting was used to account for baseline sociodemographic differences between rural and urban populations in the 2016 landline sample.

FINDINGS

In 2016 and 2018, rural women were less likely than urban women to have current cervical cancer screening. This disparity was explained by sociodemographic variables in 2016. Among women with current cervical cancer screening, rural women were significantly less likely than urban women to undergo HPV testing in both 2016 and 2018.

CONCLUSION

Rural women with current cervical cancer screening were significantly less likely than their urban counterparts to have HPV testing. It is possible that updates to preventive care guidelines may be slower to reach rural providers, rural patients may be unaware that HPV testing was completed, or rural practice configuration may complicate the integration of HPV testing into clinical practice. Failure to undergo HPV testing may lead to delayed cervical dysplasia diagnosis, missed opportunities for early intervention, and contribute to rural/urban disparities in cervical cancer incidence and mortality.

Extent of Inclusion of "Rural" in Comprehensive Cancer Control Plans in the United States

Introduction

The National Comprehensive Cancer Control Program requires states, territories, and tribal organizations to develop comprehensive cancer control plans (CCCPs). In 2019, the National Advisory Committee on Rural Health and Human Services released a series of policy recommendations, including one recommending that CCCPs address rural cancer disparities. The objective of our study was to assess the extent to which jurisdictions considered “rural” in their CCCPs.

Methods

We reviewed the 66 CCCPs available on the Centers for Disease Control and Prevention’s website as of January 2020 to assess their inclusion of rural across 7 elements: 1) cancer burden data, 2) reduction of cancer disparities, 3) rural population description, 4) rural definition, 5) goals, 6) objectives, and 7) strategies. We summarized these elements by plan type (state or territory/tribal organization). For state CCCPs, we also compared the number of element types and the inclusion of rural-specific strategies by the percentage of the state’s population that was rural and the rural cancer mortality rate.

Results

Of 66 plans, 45 included a mention of rural in at least 1 element, including 38 of 50 state plans and 7 of 16 territory/tribal organization plans. Reduction of cancer disparities was the most common element noted. Less than one-third of all CCCPs included a rural-specific strategy. States with a high rural cancer mortality rate tended to have at least 1 rural-specific strategy.

Conclusion

Technical and financial support to improve rural data inclusion and implementation of rural-specific strategies in CCCPs may help improve the inclusion of rural data and strategy development.

When American Adults Do Move, How Do They Do So? Trends in Physical Activity Intensity, Type, and Modality: 1988-2017

BACKGROUND

Few Americans accumulate enough physical activity (PA) to realize its benefits. Understanding how and why individuals use their discretionary time for different forms of PA could help identify and rectify issues that drive individuals away from certain physical activities, and leverage successful strategies to increase participation in others.

METHODS

The authors analyzed approximately 30 years of changes in PA behavior by intensity, type, and mode, using data from the Behavioral Risk Factor Surveillance System.

RESULTS

Since 1988, the proportions of adults most frequently engaging in exercise, sport, or lifestyle physical activity have changed noticeably. The most apparent changes from 1988 to 2017 were the proportions most frequently engaging in Exercise and Sport. In addition, the proportion of time reportedly spent in vigorous-intensity PA decreased over time, particularly among male respondents. Moreover, the proportion of Americans reporting an "Other" PA mode increased substantially, suggesting a growing need for a greater variety of easily accessible options for adult PA.

CONCLUSIONS

Over time, a smaller proportion of American adults reported participating in sport and exercise modalities and reported engaging more frequently in low-intensity physical activities.

A Step towards Understanding and Tackling Health Inequalities: The Use of Secondary Prevention Services and the Need for Health Promotion in a Rural Setting

Poland has recently intensified its health promotion in an effort to extend healthy life expectancy and reduce health inequalities. Our aim was to reach a deprived rural population, increase its health literacy, and explore its use of and barriers to cancer screening and public health care. A CBPR study was conducted in one of the poorest districts in Wielkopolska region, Poland, among 122 beneficiaries of health education workshops. A self-developed questionnaire was used. The reported barriers to participation in cancer screening included: lack of time, lack of need, or feeling healthy (32.8%); long waiting times (17.2%); fear of costs (9%). Physicians seldom recommended screening to their patients. Only 7.4% of respondents had ever received dermatoscopy. Among women, 18.2% did not perform any breast exams and 25% had never had smear tests. Diagnostics was often financed out of pocket (thyroid ultrasound = 58.1%; smear test = 48.5%; breast ultrasound = 36.8%). The health system needs mentioned by participants included better access to physicians (65.6%), promotion of free screening tests (54.9%), and access to public health programmes (22.1%). There is an urgent need to translate national strategies into action. Health promotion and better access to care must become priorities in deprived areas, while primary care providers should become key figures in delivering these services.

Uptake of Genetic Testing Among Patients with Cancer At Risk for Lynch Syndrome in the National Health Interview Survey

Lynch syndrome is the most common inherited cancer syndrome that increases the risk of developing colorectal and endometrial cancer. Universal screening guidelines were first recommended by the Centers for Disease Control and Prevention (CDC) in 2009 and are updated annually by multiple societies. Therefore, one would expect genetic testing rates to increase over time. But testing remains underutilized among those with colorectal or endometrial cancer, even though early detection can improve prognosis and survival rates. In this study, we aimed to understand differences in genetic testing uptake among those with colorectal cancer or endometrial cancer from 2005, 2010, 2015, using data from the National Health Interview Survey (NHIS). We examined genetic testing uptake across cancer-type, age (≤50 or ≥51), sex, race, insurance, and education using a χ² statistical analysis. Despite an upward genetic testing trend in 2010, we found no significant differences in genetic testing uptake over time. In 2010, non-White individuals experienced the highest increase from 2005 in comparison with White individuals. However, genetic testing rates declined for both groups by 2015. Our findings show that genetic testing for colorectal cancer and endometrial cancer did not increase over a 10-year period in spite of guidelines that recommend testing. PREVENTION RELEVANCE: Genetic testing uptake for colorectal cancer and endometrial cancer has not increased over a 10-year period in spite of universal screening guidelines. More genetic testing education is needed at the provider and patient level to improve screening strategies for cancer patients who are most at risk for Lynch syndrome.

Examining lung cancer screening utilization with public-use data: Opportunities and challenges

Lung cancer screening with low-dose computed tomography is recommended for high-risk smokers who meet specific eligibility criteria. Current guidelines suggest that eligible adults with a heavy smoking history will benefit from annual low dose computed tomography but due to several associated risks (e.g., false-positives, radiation exposure, overdiagnosis) a shared decision-making consultation is required by the Centers for Medicare & Medicaid Services, and endorsed by the United States Preventive Services Task Force. In order to examine potential for tracking LCS uptake, adherence, and patient-provider communication at a national level, we reviewed four regularly publicly available national surveys (National Health Interview Survey [NHIS], Behavioral Risk Factor Surveillance System [BRFSS], National Health and Nutrition Examination Survey [NHANES], and Health Information National Trends Survey [HINTS]) to assess available data; an overview of 37 publications using these sources is also provided. The results show that none of the surveys include items that fully assess current LCS guidelines. Implications for future research-including the potential to examine factors associated with LCS uptake and patient-provider communication-are addressed.

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

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