Disparities in Telehealth Offer and Use among U.S. Adults: 2022 Health Information National Trends Survey.

Objective: Understanding the sources of telehealth disparities can inform efforts to ensure equity. This study examines disparities in telehealth offer and use to understand the role of health care providers in increasing telehealth access. Methods: This cross-sectional analysis of the 2022 Health Information National Trends Survey (n = 5,295) used survey-weighted proportions to characterize telehealth use and multivariable logistic regressions to test associations of sociodemographic and social determinants with (1) telehealth offer and (2) use among those offered the option. Results: Among U.S. adults, 57% were offered telehealth, 80% of whom used it. Technology difficulties and privacy concerns were barriers for 15%-20% of U.S. adults. Compared to telehealth users, most nonusers preferred in-person care (25% versus 84%). Age, education, geographic location, and broadband internet access were related to telehealth offer, whereas no significant disparities emerged in telehealth use. Conclusions: Telehealth use is widespread, but structural and provider-level engagement are needed to achieve equity.

National Cancer Institute-funded grants focused on synchronous telehealth cancer care delivery: a portfolio analysis.

BACKGROUND: Telehealth use increased during the COVID-19 pandemic and remains a complementary source of cancer care delivery. Understanding research funding trends in cancer-related telehealth can highlight developments in this area of science and identify future opportunities. METHODS: Applications funded by the US National Cancer Institute (NCI) between fiscal years 2016 and 2022 and focused on synchronous patient-provider telehealth were analyzed for grant characteristics (eg, funding mechanism), cancer focus (eg, cancer type), and study features (eg, type of telehealth service). Of 106 grants identified initially, 60 were retained for coding after applying exclusion criteria. RESULTS: Almost three-quarters (73%) of telehealth grants were funded during fiscal years 2020-2022. Approximately 67% were funded through R01 or R37 mechanism and implemented as randomized controlled trials (63%). Overall, telehealth grants commonly focused on treatment (30%) and survivorship (43%); breast cancer (12%), hematologic malignancies (10%), and multiple cancer sites (27%); and health disparity populations (ie, minorities, rural residents) (73%). Both audio and video telehealth were common (65%), as well as accompanying mHealth apps (20%). Telehealth services centered on psychosocial care, self-management, and supportive care (88%); interventions were commonly delivered by mental health professionals (30%). CONCLUSION: NCI has observed an increase in funded synchronous patient-provider telehealth grants. Trends indicate an evolution of awards that have expanded across the cancer control continuum, applied rigorous study designs, incorporated additional digital technologies, and focused on populations recognized for disparate cancer outcomes. As telehealth is integrated into routine cancer care delivery, additional research evidence will be needed to inform clinical practice.

"It's just not easy to understand": A mixed methods study of health insurance literacy and insurance plan decision-making in cancer survivors.

BACKGROUND: Understanding cancer survivors' health insurance decision-making is needed to improve insurance choice, potentially resulting in reduced financial hardship. METHODS: This explanatory mixed methods study assessed health insurance decision-making in cancer survivors. Health Insurance Literacy Measure (HILM) captured HIL. Quantitative eye-tracking data collected from two simulated health insurance plan choice sets gauged dwell time (seconds), or interest, in benefits. Dwell time differences by HIL were estimated using adjusted linear models. Qualitative interviews explored survivors' insurance decision-making choices. RESULTS: Cancer survivors (N = 80; 38% breast cancer) had a median age of 43 at diagnosis (IQR 34-52). When comparing traditional and high-deductible health plans, survivors were most interested in drug costs (median dwell time 58 s, IQR 34-109). When comparing health maintenance organization and preferred provider organization plans, survivors were most interested in test/imaging costs (40s, IQR 14-67). Survivors with low versus high HIL had more interest in deductible (ß = 19 s, 95% CI 2-38) and hospitalization costs (ß = 14 s, 95% CI 1-27) in adjusted models. Survivors with low versus high HIL more often ranked out-of-pocket (OOP) maximums and coinsurance as the most important and confusing benefits, respectively. Interviews (n = 20) revealed survivors felt alone "to do their own research" about insurance choices. OOP maximums were cited as the deciding factor since it is "how much money is going to be taken out of my pocket." Coinsurance was considered "rather than a benefit, it's a hindrance." CONCLUSION: Interventions to aid in health insurance understanding and choice are needed to optimize plan choice and potentially reduce cancer-related financial hardship.

Financial navigation: Staff perspectives on patients' financial burden of cancer care.

PURPOSE: To describe perceptions of financial navigation staff concerning patients' cancer-related financial burden. METHODS: This qualitative descriptive study used a semi-structured interview guide to examine perceptions of financial navigation staff concerning patients' cancer-related financial burden. Staff who provided financial navigation support services to cancer patients were interviewed from different types of cancer programs across seven states representing rural, micropolitan, and urban settings. Interviews lasted approximately one hour, were audio recorded, and transcribed. Transcripts were double coded for thematic analysis. RESULTS: Thirty-five staff from 29 cancer centers were interviewed. The first theme involved communication issues related to patient and financial navigation staff expectations, timing and the sensitive nature of financial discussions. The second theme involved the multi-faceted impact of financial burden on patients, including stress, difficulty adhering to treatments, and challenges meeting basic, non-medical needs. CONCLUSIONS AND IMPLICATIONS FOR CANCER SURVIVORS: Cancer-related financial burden has a profound impact on cancer survivors' health and non-health outcomes. Discussions regarding cancer-related costs between cancer survivors and healthcare team members could help to normalize conversations and mitigate the multi-faceted determinants and effects of cancer-related financial burden. As treatment may span months and years and unexpected costs arise, having this discussion regularly and systematically is needed.

Advancing multi-level health communication research: A Delphi study on barriers and opportunities.

Adopting a multi-level perspective that considers the many interrelated contexts influencing health could make health communication interventions more effective and equitable. However, despite increasing interest in the use of multi-level approaches, multi-level health communication (MLHC) interventions are infrequently utilized. We therefore sought to conduct a modified Delphi study to better understand how researchers conceptualize MLHC interventions and identify opportunities for advancing MLHC work. Communication and health behavior experts were invited to complete two rounds of surveys about the characteristics, benefits, pitfalls, best practices, barriers, and facilitators of MLHC interventions; the role of technology in facilitating MLHC interventions; and ways to advance MLHC intervention research (46 experts completed the first survey, 44 completed both surveys). Survey data were analyzed using a mixed-methods approach. Panelists reached consensus on two components of the proposed definition of MLHC interventions and also put forward a set of best practices for these interventions. Panelists felt that most health intervention research could benefit from a multi-level approach, and generally agreed that MLHC approaches offered certain advantages over single-level approaches. However, they also expressed concern related to the time, cost, and complexity of MLHC interventions. Although panelists felt that technology could potentially support MLHC interventions, they also recognized the potential for technology to exacerbate disparities. Finally, panelists prioritized a set of methodological advances and practical supports that would be needed to facilitate future MLHC intervention research. The results of this study point to several future directions for the field, including advancing how interactions between levels are assessed, increasing the empirical evidence base demonstrating the advantages of MLHC interventions, and identifying best practices for the use of technology. The findings also suggest that researchers may need additional support to overcome the perceived practical challenges of conducting MLHC interventions.

BACKGROUND: Considering the factors that affect health across multiple levels (e.g., individual, family, community, and policy) could make health communication interventions more effective and equitable. The goal of this study was to better understand how researchers characterize multi-level health communication (MLHC) interventions and to identify opportunities for advancing work in this area. METHODS: Communication and health behavior experts were invited to complete two rounds of surveys about MLHC interventions. RESULTS: Panelists reported that most health communication interventions could benefit from a multi-level approach, and generally agreed that MLHC approaches offer certain advantages over single-level approaches. However, they also expressed concern related to the time, cost, and complexity of MLHC interventions. Although panelists felt that technology could potentially support MLHC interventions, they also recognized that the use of technology could have unintended consequences. Using input from the panel of experts recruited for the study, we propose a working definition of MLHC interventions and a set of best practices for conducting these types of interventions. CONCLUSIONS: Results suggest the need to improve methods, conduct additional research demonstrating the advantages of MLHC interventions, and identify how technology can best be used to support these interventions.

Prevalence of Low Cost-Related Health Literacy Among Colorectal Cancer Survivors: Findings From the Kentucky Cancer Registry.

BACKGROUND: The lack of research on cost-related health literacy among colorectal cancer (CRC) survivors warrants further evaluation. OBJECTIVES: The objective of this study was to examine prevalence of low literacy (health, cancer, and insurance literacy), and numeracy and their association with sociodemographic factors in a group of Kentucky CRC survivors. METHODS: Based on data from the Kentucky Cancer Registry, this cross-sectional study evaluated survey results from January 2019 to November 2019 for the prevalence of low cost-related health literacy. FINDINGS: Overall, 104 participants had adequate health literacy (77%) and cancer health literacy (71%). However, fewer CRC survivors had high numeracy (16%) and confidence in choosing and using health insurance (18%). Thirty-one percent reported competence in their ability to select a health insurance plan and use it to access timely and appropriate healthcare services. Those with lower levels of education or those enrolled in a public health insurance plan were more likely to have lower health literacy, insurance literacy, and numeracy.

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) three-group categorization based upon population size, and (3) three-group categorization based on adjacency to metropolitan areas. Wald Chi-square tests evaluated differences in sociodemographic variables and three measures of realized access across three 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 with 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 with 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.

Telehealth Availability and Use of Related Technologies Among Medicare-Enrolled Cancer Survivors: Cross-sectional Findings From the Onset of the COVID-19 Pandemic.

BACKGROUND: There has been rapid integration of telehealth into care delivery during the COVID-19 pandemic. However, little is known about technology ownership, internet access and use for communication, and telehealth availability among cancer survivors, particularly those enrolled in Medicare. OBJECTIVE: This study aims to identify sociodemographic associations with technology ownership, internet access and use for communication, and telehealth availability in a population-based sample of Medicare-enrolled cancer survivors. METHODS: Data are from the Medicare Current Beneficiary Survey COVID-19 Summer 2020 Supplement administered between June 10 and July 15, 2020. Analyses were restricted to beneficiaries who reported a prior (nonskin) cancer diagnosis and a usual source of care (N=2044). Dichotomous outcomes included technology ownership, internet access, internet use for communication, and telehealth availability from providers. Sociodemographic correlates included sex, age, race/ethnicity, Medicare/Medicaid dual enrollment, rurality, census region, and self-reported comorbidities. RESULTS: Over half (957/2044, 53%) of cancer survivors reported using the internet for communication purposes, and 62% (1218/2044) reported that their usual provider had telehealth services available. Using the internet for communication purposes was reported less frequently for rural compared to urban survivors (adjusted probability of 28% vs 46%; P<.001) and for Hispanic and Black survivors compared to non-Hispanic White survivors (29%, 31%, and 44%, respectively; all P<.01). Rural survivors reported lower telehealth availability (53% vs 63%; P<.001); no significant differences in telehealth availability were identified by race/ethnicity. CONCLUSIONS: During the COVID-19 pandemic, study findings highlight a complex digital divide among Medicare beneficiaries with a history of cancer related to device ownership necessary for telehealth, internet access and use for communication, and reports of providers having telehealth available. Multilevel approaches are needed to increase equitable telehealth availability and use for cancer survivors. Suggested strategies include increasing broadband internet access to providers and patients in at-risk communities, supporting telehealth implementation among providers that serve populations with known health disparities, raising awareness of providers' available telehealth services among patients, and screening for technology use and provision of telehealth-related technical assistance among older and historically underserved cancer survivors.

Interventions to address cancer-related financial toxicity: Recommendations from the field.

PURPOSE: Addressing financial toxicity among cancer patients is a complex process that requires a multifaceted approach, particularly for rural patients who may face additional cost-related barriers to care. In this study, we examined interventions being implemented by financial navigation staff at various cancer centers that help address financial toxicity experienced by oncology patients. METHODS: We conducted semistructured interviews with a convenience sample of financial navigation staff across 29 cancer centers in both rural and urban areas in 7 states. Interviews were audio-recorded and transcribed. Descriptive coding and thematic analysis techniques were used to analyze the data. FINDINGS: Thirty-five participants were interviewed, the majority of whom worked in cancer centers located in rural counties. Participants identified the use of screening tools, patient education, and access to tailored financial assistance resources as best practices. Immediate resource needs included additional financial navigation staff, including lay navigators and community health workers, to promote linkages to local resources. Suggested clinical areas for intervention included proactive and early implementation of financial assessments and discussions between providers and patients, along with training and access to regularly updated resources for those in financial navigator/counselor roles. Participants also discussed the need for policy-level interventions to reform health systems (including employment protections) and health insurance programs. CONCLUSIONS: Implementing proactive methods to screen for and address financial needs of patients is essential to improving cancer-related outcomes. Additional programs and research are needed to help establish systematic and standardized methods to enhance financial navigation services, especially for underserved rural communities.

How cancer programs identify and address the financial burdens of rural cancer patients.

PURPOSE: Financial toxicity is associated with negative patient outcomes, and rural populations are disproportionately affected by the high costs of cancer care compared to urban populations. Our objective was to (1) understand cancer programs' perceptions of rural-urban differences in cancer patients' experiences of financial hardship, (2) evaluate the resources available to cancer patients across the rural-urban continuum, and (3) determine how rural and urban health care teams assess and address financial distress in cancer patients. METHODS: Seven research teams within the Cancer Prevention and Research Control Network conducted semi-structured interviews with cancer program staff who have a role in connecting cancer patients with financial assistance services in both rural and urban counties. Interviews were audio-recorded and transcribed. We identified themes using descriptive content and thematic analysis. RESULTS: We interviewed 35 staffs across 29 cancer care programs in seven states, with roughly half of respondents from programs in rural counties. Participants identified differences in rural and urban patients' experiences of financial hardship related to distance required to travel for treatment, underinsurance, and low socioeconomic status. Insufficient staffing was an identified barrier to addressing rural and urban patients' financial concerns. CONCLUSIONS: Improved financial navigation services could mitigate the effects of financial toxicity experienced by cancer patients, particularly rural patients, throughout treatment and survivorship. Future research is needed to improve how cancer programs assess financial hardship in patients and to expand financial navigation services to better serve rural cancer patients.

Communication research at the National Cancer Institute, 2013-2019: a grant portfolio analysis.

PURPOSE: To analyze communication-focused grants funded by the National Cancer Institute (NCI) between fiscal years 2013 and 2019 to provide insight into the characteristics of funded projects and identify promising areas for future research. METHODS: iSearch, a portfolio analysis tool, was queried to identify communication-related grants funded by NCI. Abstracts and specific aims were coded for key study characteristics. 344 unique competing grants with a substantial communication component were included in the final analysis. SAS version 9.4 was used to calculate code frequencies. RESULTS: Most communication grants focused on cancer prevention (n = 197), with fewer targeting diagnosis, treatment, survivorship, or end-of-life. Tobacco product use was the most frequently addressed topic (n = 128). Most grants targeted or measured outcomes at the individual (n = 332) or interpersonal level (n = 127). Cancer patients/survivors (n = 101) and healthcare providers (n = 63) were often the population of focus, while caregivers or those at increased risk for cancer received less attention. Studies were often based in healthcare settings (n = 125); few studies were based in schools or worksites. Many grants employed randomized controlled trials (n = 168), but more novel methods, like optimization trials, were uncommon. CONCLUSION: NCI's support of health communication research covers a diverse array of topics, populations, and methods. However, the current analysis also points to several promising opportunities for future research, including efforts focused on communication at later stages of the cancer control continuum and at multiple levels of influence, as well as studies that take advantage of a greater diversity of settings and leverage novel methodological approaches.

The association of health insurance literacy and numeracy with financial toxicity and hardships among colorectal cancer survivors.

PURPOSE: In this study, we examined the association of financial hardship measured by material financial burden and financial toxicity with health insurance literacy and numeracy among colorectal cancer survivors. The lack of evidence on the impact of cost-related health literacy, specifically health insurance literacy and numeracy, on financial toxicity among cancer survivors warrants further research. METHODS: Between January and November 2019, we used a cross-sectional research design to collect surveys from 104 colorectal cancer survivors (diagnosed within last 5 years) from the Kentucky Cancer Registry. Survey items assessed health insurance literacy (measured by confidence and behaviors in choosing and using health insurance), numeracy, material financial burden, and financial toxicity, in addition to socio-demographic variables. Survey data were subsequently linked to the participant's cancer registry record. Data were analyzed using descriptive, bivariate, and multiple linear regression analyses. RESULTS: The mean financial toxicity score was 24.5, with scores ranging from 3 to 43 (higher scores indicating greater financial toxicity). Eighty percent of participants indicated they had experienced one or more material burdens related to their cancer. The majority had adequate health insurance (79%); however, the majority also had low numeracy (84%). After controlling for socio-demographic covariates, significant predictors of greater financial toxicity were high material burden scores, low health insurance literacy, and low numeracy. CONCLUSIONS: Findings indicate the need to develop programs and interventions aimed at improving health insurance literacy and numeracy as a strategy for reducing financial toxicity and hardships among colorectal cancer survivors.

Financial distress among cancer survivors in Appalachian Kentucky.

BACKGROUND: Rural residence may exacerbate cancer-related financial distress. Limited research has focused on Appalachian cancer survivors' experience with financial distress. AIMS: The primary aim of this study was to estimate the prevalence of financial distress among cancer survivors residing in Appalachian Kentucky with a specific focus on the impact of rurality and to elucidate the risk factors impacting financial distress among this population. METHODS AND RESULTS: Appalachian Kentucky residents were sampled for receipt of a health survey based on county-level rurality. Analyses describe the prevalence and predictors of financial distress among cancer survivors. Subsequent analyses were conducted with Health Information National Trends Survey (HINTS) data to compare local versus national estimates of financial distress. Almost two-thirds of Appalachian survivors reported financial distress compared to one-third of the HINTS sample. Appalachian survivors residing in the most rural counties reported higher distress; this finding was not supported in the national sample. In multivariable analyses, gender, current age, and household income were associated with financial distress among Appalachians; only income was significant among the national sample. CONCLUSION: Appalachian cancer survivors have higher than national estimates of financial distress; rurality and socioeconomics are drivers of this disparity.

Employment Changes Following Breast Cancer Diagnosis: The Effects of Race and Place.

The financial implications of breast cancer diagnosis may be greater among rural and black women. Women with incident breast cancer were recruited as part of the Carolina Breast Cancer Study. We compared unadjusted and adjusted prevalence of cancer-related job or income loss, and a composite measure of either outcome, by rural residence and stratified by race. We included 2435 women: 11.7% were rural; 48.5% were black; and 38.0% reported employment changes after diagnosis. Rural women more often reported employment effects, including reduced household income (43.6% vs 35.4%, two-sided χ2 test P = .04). Rural white, rural black, and urban black women each more often reported income reduction (statistically significant vs. urban white women), although these groups did not meaningfully differ from each other. In multivariable regression, rural differences were mediated by socioeconomic factors, but racial differences remained. Programs and policies to reduce financial toxicity in vulnerable patients should address indirect costs of cancer, including lost wages and employment.

Financial hardship among rural cancer survivors: An analysis of the Medical Expenditure Panel Survey.

Some cancer survivors report spending 20% of their annual income on medical care. Undue financial burden that patients face related to the cost of care is referred to as financial hardship, which may be more prevalent among rural cancer survivors. This study examined contrasts in financial hardship among 1419 rural and urban cancer survivors using the 2011 Medical Expenditure Panel Survey supplement - The Effects of Cancer and Its Treatment on Finances. We combined four questions, creating a measure of material financial hardship, and examined one question on financial worry. We conducted multivariable logistic regression analyses, which produced odds ratios (OR) for factors associated with financial hardship and worry, and then generated average adjusted predicted probabilities. We focused on rural and urban differences classified by metropolitan statistical area (MSA) designation, controlling for age, education, race, marital status, health insurance, family income, and time since last cancer treatment. More rural cancer survivors reported financial hardship than urban survivors (23.9% versus 17.1%). However, our adjusted models revealed no significant impact of survivors' MSA designation on financial hardship or worry. Average adjusted predicted probabilities of financial hardship were 18.6% for urban survivors (Confidence Interval [CI]: 11.9%-27.5%) and 24.2% for rural survivors (CI: 15.0%-36.2%). For financial worry, average adjusted predicted probabilities were 19.9% for urban survivors (CI: 12.0%-31.0%) and 18.8% for rural survivors (CI: 12.1%-28.0%). Improving patient-provider communication through decision aids and/or patient navigators may be helpful to reduce financial hardship and worry regardless of rural-urban status.

A Change-Management Approach to Closing Care Gaps in a Federally Qualified Health Center: A Rural Kentucky Case Study.

Effective organizational change requires intentional planning. We applied Kotter's 8-Step Process for Leading Change model in understanding and evaluating how a federally qualified health center in rural Kentucky implemented a significant organizational change - a proactive office encounter (POE) model - to improve preventive care service delivery, close care gaps, and reduce health disparities among its patients. We completed qualitative interviews with 21 clinic personnel (eg, administrators, physicians, support staff, care coordinators) who were directly involved with POE implementation. We found evidence of steps 1 through 7 of Kotter's 8 steps of change in the POE implementation process. Step 8, anchoring new approaches in the organizational culture, was an area for improvement. Change-management models, such as Kotter's 8-Step Process for Leading Change, provide a systematic guide for health clinics to implement sustainable organizational change aimed at improving patient health outcomes.

Addressing Rural Geographic Disparities Through Health IT: Initial Findings From the Health Information National Trends Survey.

BACKGROUND: Rural communities experience disparate rates of chronic diseases and face distinct challenges in gaining access to health care. Increasing the reach of the US health information and communication technology infrastructure can support rural health by overcoming geographic and temporal health care barriers. OBJECTIVES: The goal of the study is to establish statistically valid point estimates for the use of health information technology within rural versus urban populations, and to understand the degree to which structural factors may account for the overall variance in the use of these technologies. METHODS: Data from the National Cancer Institute's 2017 Health Information National Trends Survey were used to estimate prevalence of Health IT engagement across rural and urban populations and model factors influencing use of online medical records. RESULTS: Rural residents reported similar rates of providers maintaining electronic health records and offering access to online medical records. However, rural residents with provider-maintained records were less likely to receive a provider recommendation to use online medical records and were subsequently less likely to actually access records. Observed differences in online medical record use were accounted for by variance in Internet access, access to a regular health care provider, and whether providers encouraged patients to use online records. CONCLUSIONS: Findings shed light on structural opportunities for overcoming geographic and temporal barriers to Health IT and extending the benefits of digital health information technologies to underserved populations.

Community-Academic Partnerships: Approaches to Engagement.

Current public health problems such as cancer have an expansive set of lifestyle and social circumstances that affect the cause and course of the disease. In response, over the past 7 years, the National Cancer Institute (NCI) has recognized the important role that cancer centers play in their community and has gradually increased the requirements and stringency of these sections in the Cancer Center Support Grant guidelines to include a plan for community outreach and engagement. Developing sustainable community-academic partnerships is an essential factor for the successful dissemination and implementation of promising interventions and programs aimed at decreasing barriers and improving cancer outcomes. Understanding how best to facilitate linkages and collaboration can expedite translation of research knowledge into practice and allow more evidence-based improvements to be implemented into practice as well as influence research agendas. This article will examine several examples of successful community-academic partnerships focused on cancer prevention and control and explore lessons learned.

Rural-urban differences in financial burden among cancer survivors: an analysis of a nationally representative survey.

PURPOSE: Rural cancer survivors may disproportionately experience financial problems due to their cancer because of greater travel costs, higher uninsured/underinsured rates, and other factors compared to their urban counterparts. Our objective was to examine rural-urban differences in reported financial problems due to cancer using a nationally representative survey. METHODS: We used data from three iterations of the National Cancer Institute's Health Information and National Trends Survey (2012, 2014, and 2017) to identify participants who had a previous or current cancer diagnosis. Our outcome of interest was self-reported financial problems associated with cancer diagnosis and treatment. Rural-urban status was defined using 2003 Rural-Urban Continuum Codes. We calculated weighted percentages and Wald chi-square statistics to assess rural-urban differences in demographic and cancer characteristics. In multivariable logistic regression models, we examined the association between rural-urban status and other factors and financial problems, reporting the corresponding adjusted predicted probabilities. FINDINGS: Our sample included 1359 cancer survivors. Rural cancer survivors were more likely to be married, retired, and live in the Midwest or South. Over half (50.5%) of rural cancer survivors reported financial problems due to cancer compared to 38.8% of urban survivors (p = 0.02). This difference was attenuated in multivariable models, 49.3 and 38.7% in rural and urban survivors, respectively (p = 0.06). CONCLUSIONS: A higher proportion of rural survivors reported financial problems associated with their cancer diagnosis and treatment compared to urban survivors. Future research should aim to elucidate these disparities and interventions should be tested to address the cancer-related financial problems experienced by rural survivors.