Abstract
Purpose
The purpose of this study was to identify the barriers, facilitators, and priority needs related to cancer prevention, control, and research in persistent poverty areas.
Methods
We conducted three focus groups with 17 providers and staff of primary care clinics serving persistent poverty areas throughout the state of Arkansas.
Results
We identified multiple barriers, facilitators, and priority needs related to cancer prevention and control at primary care clinics serving persistent poverty areas. Barriers included transportation, medical costs, limited providers and service availability, and patient fear/discomfort with cancer topics. Facilitators identified were cancer navigators and community health events/services, and priority needs included patient education, comprehensive workflows, improved communication, and integration of cancer navigators into healthcare teams. Barriers to cancer-related research were lack of provider/staff time, patient uncertainty/skepticism, patient health literacy, and provider skepticism/concerns regarding patient burden. Research facilitators included better informing providers/staff about research studies and leveraging navigators as a bridge between clinic and patients.
Conclusion
Our results inform opportunities to adapt and implement evidence-based interventions to improve cancer prevention, control, and research in persistent poverty areas. To improve cancer prevention and control, we recommend locally-informed strategies to mitigate patient barriers, improved patient education efforts, standardized patient navigation workflows, improved integration of cancer navigators into care teams, and leveraging community health events. Dedicated staff time for research, coordination of research and clinical activities, and educating providers/staff about research studies could improve cancer-related research activities in persistent poverty areas.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Despite advances in outcomes across the cancer control continuum, residents of persistent poverty areas, which are overwhelmingly rural (85%) [1] continue to face significant cancer health disparities [2,3,4,5]. Persistent poverty areas are defined as places where 20% or more of residents have lived in poverty for the past 30 years [3, 4]. Based on 1990–2020 data sources, there are 354 persistent poverty counties in the United States (U.S.), representing 11.3% of counties nationwide [6]. Persistent poverty areas have high concentrations of racial minorities and are primarily concentrated (nearly 80%) in Southern states [3, 4]. Persistent poverty is a product of intersecting structural factors, including economic disinvestment, structural racism, and residential segregation [2, 4, 7, 8]. Residents of these areas face high unemployment, low educational attainment, lack of adequate housing, and high rates of food insecurity and stress [1, 3, 9]. They have also endured decades of disinvestment in medical infrastructure, resulting in pronounced barriers to healthcare access [1, 3].
Cancer risk is significantly elevated, and cancer outcomes are significantly poorer, among people living in persistent poverty areas [3, 4]. On average, populations living in persistent poverty areas have higher rates of known risk factors for cancer, including obesity, tobacco use, alcohol consumption, sun exposure, and human papillomavirus infection [3, 10]. In addition, chronic exposure to social and economic disadvantage may lead to accelerated epigenetic aging and increased susceptibility to cancer [11, 12]. Persistent poverty areas have among the highest cancer mortality rates in the country [3]. Overall cancer mortality in persistent poverty counties is 12% higher than all other U.S. counties and 7% higher than other counties experiencing current (but not persistent) poverty [3]. Notably, the highest cancer mortality rates were found among Black residents of rural, persistent poverty counties, overall and for multiple specific cancer sites [4].
Arkansas is a disproportionately rural and impoverished state. Over 41% of the population lives in rural areas compared to 14% in the United States (U.S.) overall [13, 14], and 16.3% live in poverty compared to 11.6% in the U.S. overall [15]. In Arkansas, there are 17 persistent poverty counties, plus 62 census tracts in 26 additional counties designated as persistent poverty areas [16]. These areas are located throughout the state but are most concentrated in the southern and eastern regions of Arkansas along the Mississippi River Delta (see Fig. 1).
The National Cancer Institute (NCI) has called for increased attention and research to improve cancer health equity in persistent poverty areas [1, 2]. The Centers for Disease Control and Prevention and the National Academies of Sciences, Engineering, and Medicine have similarly called attention to the stark health disparities affecting rural and persistent poverty communities; they have called for action to improve health outcomes among these communities [17,18,19,20]. Increased uptake of evidence-based cancer prevention and control strategies could mitigate cancer health disparities in persistent poverty areas [2]. However, more research is needed on the contextual determinants that may influence the strategic implementation of such strategies. To identify these contextual determinants, it is imperative to understand the barriers, facilitators, and priority needs related to cancer prevention, control, and research in persistent poverty areas. In this study, we conducted focus groups with providers and staff at eight primary care clinics serving persistent poverty areas across Arkansas. Our goal was to gain on-the-ground knowledge and insight from healthcare providers and clinic staff members who work daily with populations living in persistent poverty areas. Our results may help inform opportunities to adapt and implement evidence-based interventions to improve cancer prevention, control, and research in persistent poverty areas.
Methods
Recruitment, inclusion criteria, and remuneration
The study team created a flyer that was advertised on university system Listservs and sent directly to the administrative personnel at eight primary care clinics serving persistent poverty areas throughout the state. Participants were eligible if they were current health care providers or staff members at one of the eight primary care clinics. All individuals who replied to express interest in the study and who were eligible to participate were included in the study. Each participant was offered a $40 gift card as renumeration for their participation; two participants declined the remuneration.
Data collection
Three separate focus groups were conducted in September 2022. Each focus group was held virtually to easily convene conversations among providers and staff located at different clinics across the state. Each focus group was facilitated by one of two researchers with expertise in qualitative methodology and community-based participatory research. Two research coordinators were also present at each focus group to coordinate logistics, keep track of attendance, and take notes but did not participate in the discussions. The number of participants ranged from three to eight in each group. The duration of the focus group discussions ranged from 35 to 60 min.
Study instruments
The study team used a qualitative interview guide that was created in collaboration with a 19-member Community Advisory Board (CAB) composed of community leaders representing rural and persistent poverty areas across the state. The interview guide was developed and refined through an iterative review process between the CAB and study team. Participants also completed a brief questionnaire that included participant demographic information, clinic location, and their role at their clinic.
Data analysis
Each focus group was audio-recorded and transcribed by a third-party service. The first and second authors compared the audio recordings of the focus groups to the transcripts multiple times to ensure accuracy and make corrections as needed. Two researchers with expertise in qualitative analysis (EH and KHKY) separately coded each transcript. The two researchers met three times to compare initial codes, develop a codebook with definitions and example codes, and refine themes and codes until they reached inter-coder agreement. The codebook with themes and sub-themes was also reviewed and confirmed by the two qualitative researchers who facilitated the focus group discussions (RSP and PAM). In addition, an administrative director of research (BJW) who is based at a primary care clinic in a rural, persistent poverty county reviewed the themes and sub-themes and provided constructive feedback. This feedback was incorporated into the final organization and presentation of the results. The first author kept detailed meeting notes to keep track of analytic decisions during data analysis.
To present the results clearly and succinctly, Tables 1 and 2 describe the themes and sub-themes with representative quotes. Each quotation has a descriptor that includes the participant’s focus group number (e.g., FG1 = focus group 1) and their role at their primary care clinic.
Results
Sample description
A total of 17 providers and staff, representing all eight primary care clinics across the state, participated in three focus groups. Participants had a diverse range of roles at their clinics, including administrators, nurses, navigators, research coordinators, data quality team members, and others. Nine participants identified as white, four identified as Black or African American, one preferred not to answer, and three participants had missing racial/ethnic group data. Fourteen participants identified as female, and three identified as male.
An underlying theme: poverty and high health-related social needs
An underlying theme throughout all three focus groups was how decades of poverty and high levels of health-related social needs facing patients in persistent poverty areas shape healthcare providers’ work at primary care clinics across the state. As one participant summarized, “Generational poverty and all the social drivers of health that come along with that, that we've got in our state, kind of make it so you've got clusters of problems. It’s not like people just need food or just need transportation. You have people who need everything.” [FG1, Data Quality Team] A healthcare provider explained, “A lot of my patients, if it costs just a little bit, they’re not going to do it. […] The financial part [is] a big issue for a lot of my patients.” [FG2, Nurse] Another participant noted, “Our population here, we have a lot of Medicaid patients, so one of the biggest struggles for them is transportation.” [FG3, Administrator] Some participants emphasized that these issues were not new but were long-standing barriers that affect access to healthcare and the health of their patient populations generally. As one administrator noted, “You know, it's the same [barriers] we've been seeing for many, many years. I mean, when you look at your colonoscopies, your mammograms, a lot of the barriers are the same.” [FG1, Administrator] While daunting, leveraging clinic providers’ and staff’s deep understanding of the long-standing and interrelated health-related social needs their patients face can be instructive for identifying solutions and interventions that can be broadly applied among patients in persistent poverty areas, e.g., strategies need to comprehensively address poverty and social determinants of health to make a meaningful impact in persistent poverty areas. Interventions aimed at more equitable health care access must address the clusters of problems instead of just one barrier at a time (e.g., transportation).
Below, we discuss two interrelated sets of findings based on discussions with providers and staff at primary care clinics. First, we discuss the barriers, facilitators, and priority needs related to cancer prevention and control described by providers and staff at primary care clinics. Second, we discuss the barriers and facilitators to conducting cancer-related research at primary care clinics described by clinic providers and staff.
Barriers, facilitators, and priority needs related to cancer prevention and control
In Table 1, we provide descriptions and exemplary quotes of the barriers, facilitators, and priority needs related to cancer prevention and control that providers and staff encounter at primary care clinics serving the state’s persistent poverty areas. We identified multiple barriers to cancer prevention and control programs at their clinics, including transportation, medical costs, limited providers and service availability, and patient fear or discomfort with cancer-related topics and knowledge. Participants described two key facilitators: cancer navigators and community health events and services. While participants discussed fewer facilitators, they described both as having great potential to positively impact the health of their patient populations. Priority needs were a significant topic of interest in all focus groups. Providers and staff identified the following as priority needs to improve cancer prevention and control programs: patient education, comprehensive workflows, improved communication, and integration of cancer navigators into healthcare teams.
Barriers and facilitators of cancer-related research
In Table 2, we provide descriptions and exemplary quotes of the facilitators and barriers to cancer-related research identified by clinic providers and staff. Barriers to cancer-related research at clinics included lack of time, community uncertainty/skepticism of research’s benefits, health literacy, and provider skepticism of research/patient burden concerns. Facilitators included informing clinic providers/staff about research studies and leveraging cancer navigators as a bridge between clinics, patients, and researchers. These were discussed as potential facilitators that, if implemented, could enable increased cancer-related research efforts at the clinics.
While focus group discussions focused primarily on barriers to cancer-related research, with less attention to facilitators, clinic partners were clear that they were not opposed to integrating and increasing research activities at their clinics. Rather, they explained it was a matter of creating the right conditions and providing resources to support clinic-based research. For example, one community partner noted lack of time as a barrier but suggested providing the primary care clinics with dedicated staff time to help support research activities.
Discussion
The findings of this study can help inform the adaptation and implementation of evidence-based strategies to improve cancer prevention, control, and research in persistent poverty areas. We identified multiple barriers, facilitators, and priority needs relevant to work addressing cancer inequities in these geographical areas. The barriers that clinic providers and staff described align with previous work on barriers to cancer prevention and control in rural and impoverished communities [5, 22,23,24,25,26]. Barriers including lack of transportation, medical costs, and limited availability of cancer-related health services have been documented in past research on rural cancer disparities [5, 22,23,24,25]. Patient fear of cancer screening tests, test results, and cancer itself have been documented in multiple studies on barriers to cancer screening uptake among rural, poor/low-income, and other underserved communities [26,27,28,29,30].
Participants identified two key facilitators to improve cancer health outcomes. Cancer navigators were identified as facilitators of cancer prevention and control activities, reflecting the increasing recognition of patient navigation as a key element in high-quality, patient-centered cancer care. This is consistent with prior literature which documents the value of cancer navigators in cancer prevention and survivorship care, as well as in rural settings, communities living in poverty, and other underserved communities [31,32,33,34,35,36]. Clinic providers and staff also identified community health events and services as a facilitator, which is consistent with prior literature demonstrating the efficacy of a range of community-based cancer outreach and screening interventions [37,38,39,40,41].
Critical priorities for cancer prevention and control in persistent poverty areas included patient education, which is consistent with prior research highlighting the beneficial effects of tailored and/or personalized education in facilitating patient engagement, especially for uptake of screenings [42,43,44,45]. Comprehensive workflows and improved communication were also identified as priority needs and are consistent with research demonstrating the need for improved cancer care coordination to improve outcomes across the cancer control continuum [46,47,48]. The identified need to fully integrate cancer navigators into cancer care teams aligns with work that has recommended including navigators as members of the clinical team to optimize patient outcomes [49].
We also identified barriers and facilitators to cancer-related research at primary care clinics serving persistent poverty areas. The barriers, including lack of time, community uncertainty/skepticism, health literacy, and provider skepticism/patient burden concerns, align with prior work about research participation barriers in underserved communities [50, 51]. Clinic-level facilitators to research were also consistent with previous research [52] that included informing clinic providers/staff about research studies and leveraging cancer navigators to conduct research.
Based on the study’s findings, we have developed several recommendations to improve cancer outcomes in persistent poverty communities. These recommendations will be used by the clinics and authors to improve cancer outcomes in persistent poverty areas of Arkansas, and they have broader implications for providers and healthcare systems serving persistent poverty areas throughout the U.S. The recommendations to improve cancer prevention and control in persistent poverty areas are: (1) develop locally-informed resources to reduce patient transportation and cost barriers; (2) increase patient education efforts; (3) standardize patient navigation workflows; (4) better integrate cancer navigators into healthcare teams; and (5) use community health events as key healthcare access points. Recommendations to improve cancer-related research in persistent poverty areas include: (1) provide dedicated staff time for research activities at clinics; (2) coordinate research and clinical activities to avoid patient burden and clinic disruptions; and (3) educate providers and staff about research studies so they can knowledgably inform patients about studies for which they may be eligible. Notably, regional clinics’ and our healthcare system’s ability to act on these recommendations will require significant investment and resources.
The recommendations proposed above will require multilevel interventions on the individual level (e.g., improve patient education/knowledge), systems level (e.g., better integrate cancer navigators into healthcare teams), and structural level (e.g., improve local transportation infrastructure). Others have made similar calls for multipronged interventions at the individual, systems, and structural levels to reduce cancer health inequities experienced by communities living in poverty [53], including persistent poverty communities [2].
Overall, it is critical that efforts to address cancer health disparities in persistent poverty areas leverage the knowledge and resources in those communities. While many of the findings are consistent with prior literature, this is one of the first qualitative studies to document these barriers, facilitators, and priority needs as described by providers and clinic staff in persistent poverty communities. Gaining this information specific to persistent poverty communities is critical for engaging stakeholders in developing community-informed, locally relevant interventions. Efforts to address these disparities in persistent poverty communities are constrained because many places with high concentrations of persistent poverty areas, including Arkansas, do not have an NCI-designated and funded cancer center [54]. This lack of investment results in a systematic widening of disparities.
Strengths and limitations
Study strengths include sampling providers and staff from primary care clinics serving persistent poverty areas throughout Arkansas to ensure the representation of state-wide perspectives. This study also identified facilitators and barriers at the healthcare system level to cancer prevention and control specifically within persistent poverty communities, who bear a disproportionate cancer burden. Though this qualitative study included a relatively small sample, examination of the data indicated that data saturation had been reached. While this study was conducted in Arkansas, the findings may inform future efforts to ascertain how to best address cancer inequities in persistent poverty areas across the country. Future research in this area should engage patients and their caregivers directly to understand the barriers, facilitators, and priority needs to improve cancer outcomes from their perspectives. Further, the findings from this study should be leveraged in future work to adapt and implement evidence-based cancer prevention and control strategies in persistent poverty areas.
Conclusion
Persistent poverty has long been a multifaceted and intractable social ill. Effectively addressing and reducing the cancer health inequities suffered by residents of persistent poverty areas requires substantial financial investment and healthcare systems-level and policy-level efforts. The NCI’s call for increased attention and research on areas experiencing persistent poverty has provided an opportunity to illuminate the complex determinants of persistent poverty, its resulting cancer health inequities, and how to develop strategic, community-informed interventions to address them. We have provided practical recommendations based on the results of this study that healthcare systems can act on to improve cancer prevention, control, and research in persistent poverty areas.
Data availability
Not applicable.
References
National Cancer Institute (2022) Persistent poverty and cancer: increasing health equity across the cancer continuum. https://www.cancer.gov/research/annual-plan/scientific-topics/increasing-health-equity#:~:text=Persistent%20poverty%20is%20defined%20as,multifaceted%20nature%20of%20this%20problem. Accessed 15 Sept 2022
Gomez SL, Shariff-Marco S, Cheng I (2022) The unrelenting impact of poverty on cancer: structural inequities call for research and solutions on structural determinants. J Natl Cancer Inst 114(6):783–784
Moss JL et al (2020) Persistent poverty and cancer mortality rates: an analysis of county-level poverty designations. Cancer Epidemiol Prevent Biomark 29(10):1949–1954
Moss JL et al (2022) Enduring cancer disparities by persistent poverty, rurality, and race: 1990–1992 to 2014–2018. J Natl Cancer Inst 114:829–836
Yabroff KR et al (2020) Rural cancer disparities in the United States: a multilevel framework to improve access to care and patient outcomes. JCO Oncol Pract 16(7):409–413
Dalaker J (2022) The 10–20–30 provision: defining persistent poverty counties. Congressional Research Service
Miller CE, Vasan RS (2021) The southern rural health and mortality penalty: a review of regional health inequities in the United States. Soc Sci Med 268:113443
Harris RP, Worthen D (2003) African Americans in rural America. Challenges for rural America in the twenty-first century. Penn State University Press, Pennsylvania, pp 32–42
Champagne CM et al (2007) Poverty and food intake in rural America: diet quality is lower in food insecure adults in the Mississippi Delta. J Am Diet Assoc 107(11):1886–1894
Crosby R et al (2012) Rural populations and health: determinants, disparities, and solutions. Wiley, New York
Warnecke RB et al (2008) Approaching health disparities from a population perspective: the National Institutes of Health Centers for Population Health and Health Disparities. Am J Public Health 98(9):1608–1615
Alcaraz KI et al (2020) Understanding and addressing social determinants to advance cancer health equity in the United States: a blueprint for practice, research, and policy. Cancer J Clin 70(1):31–46
Dobis E et al (2021) Rural America at a glance: 2021. Economic Research Service, USDA
Miller W, Wheeler E (2021) Rural profile of Arkansas: social & economic trends affecting rural Arkansas. University of Arkansas, Division of Agriculture Research and Extension, Fayetteville. p 7
United States Census Bureau (2022) QuickFacts Arkansas. https://www.census.gov/quickfacts/AR. Accessed 20 Feb 2023.
Economic Research Service (2022) Data from: poverty area measures. http://ers.usda.gov/data-products/poverty-area-measures. Accessed 24 Mar 2023.
National Academies of Sciences, E. and Medicine (2021) Population Health in rural America in 2020: proceedings of a workshop. The National Academies Press, Washington, p 154.
Garcia MC et al (2020) Bridging the gap in potentially excess deaths between rural and Urban Counties in the United States. Public Health Rep 135(2):177–180
O’Neil ME et al (2019) Lung cancer incidence in nonmetropolitan and metropolitan counties—United States, 2007–2016. Morb Mortal Wkly Rep 68(44):993
Henley SJ, Jemal A (2018) Rural cancer control: bridging the chasm in geographic health inequity. Cancer Epidemiol Biomark Prev 27(11):1248–1251
Federal Office of Rural Health Policy (2021) Data from: list of rural counties and designated eligible census tracts in Metropolitan Counties. http://data.hrsa.gov/tools/rural-health. Accessed 24 Mar 2023
Ratnapradipa KL et al (2022) Qualitative analysis of cancer care experiences among rural cancer survivors and caregivers. J Rural Health 38:876–885
Charlton M et al (2015) Challenges of rural cancer care in the United States. Oncology (Williston Park) 29(9):633–640
Wercholuk AN, Parikh AA, Snyder RA (2022) The road less traveled: transportation barriers to cancer care delivery in the rural patient population. JCO Oncol Pract 18(9):652–662
Lee KMN et al (2023) Distance and transportation barriers to colorectal cancer screening in a rural community. J Prim Care Community Health 14:21501319221147130
Jones RM et al (2010) Patient-reported barriers to colorectal cancer screening: a mixed-methods analysis. Am J Prev Med 38(5):508–516
Garbers S et al (2003) Barriers to breast cancer screening for low-income Mexican and Dominican women in New York City. J Urban Health 80(1):81–91
Gesink D et al (2016) Cancer screening barriers and facilitators for under and never screened populations: a mixed methods study. Cancer Epidemiol 45:126–134
Tessaro I et al (2006) Knowledge, barriers, and predictors of colorectal cancer screening in an Appalachian church population. Prev Chronic Dis 3(4):A123
Vapiwala N et al (2021) Stigma, beliefs and perceptions regarding prostate cancer among Black and Latino men and women. BMC Public Health 21(1):758
Dohan D, Schrag D (2005) Using navigators to improve care of underserved patients. Cancer 104(4):848–855
Kline RM et al (2019) Patient navigation in cancer: the business case to support clinical needs. J Oncol Pract 15(11):585–590
Bernardo BM et al (2019) The efficacy and cost-effectiveness of patient navigation programs across the cancer continuum: a systematic review. Cancer 125(16):2747–2761
Robinson-White S et al (2010) Patient navigation in breast cancer: a systematic review. Cancer Nurs 33(2):127–140
Guide to Community Preventive Services (2023) CPSTF recommends patient navigation services to increase cancer screening and advance health equity. https://www.thecommunityguide.org/news/cpstf-recommends-patient-navigation-services-increase-cancer-screening-advance-health-equity.html. Accessed 24 Jan 2023
Rohan E et al (2022) Pairing Project ECHO and patient navigation as an innovative approach to improving the health and wellness of cancer survivors in rural settings. J Rural Health 38(4):855–864
Greenwald ZR et al (2017) Mobile screening units for the early detection of cancer: a systematic review. Cancer Epidemiol Biomark Prev 26(12):1679–1694
Mason TA et al (2013) Evaluation of the Avon foundation community education and outreach initiative community patient navigation program. Health Promot Pract 14(1):105–112
Murray K et al (2014) The reach and rationale for community health fairs. J Cancer Educ 29(1):19–24
Pasick RJ, Hiatt RA, Paskett ED (2004) Lessons learned from community-based cancer screening intervention research. Cancer 101(S5):1146–1164
Schoenberg NE, Howell BM, Fields N (2012) Community strategies to address cancer disparities in Appalachian Kentucky. Fam Community Health 35(1):31–43
Chelf JH et al (2001) Cancer-related patient education: an overview of the last decade of evaluation and research. Oncol Nurs Forum 28(7):1139–1147
Conley CC, Ryba MM, Andersen BL (2018) Behavioral health and cancer. In: Duckworth MP, O’Donohue WT (eds) Behavioral medicine and integrated care. Springer, Switzerland, pp 283–339
Robb KA (2021) The integrated screening action model (I-SAM): a theory-based approach to inform intervention development. Prevent Med Rep 23:101427
Tolotti A et al (2022) Patient engagement in oncology practice: a qualitative study on patients’ and nurses’ perspectives. Int J Environ Res Public Health 19(18):11644
Paladino J et al (2019) Evaluating an intervention to improve communication between oncology clinicians and patients with life-limiting cancer: a cluster randomized clinical trial of the serious illness care program. JAMA Oncol 5(6):801–809
Penedo FJ et al (2020) The increasing value of eHealth in the delivery of patient-centred cancer care. Lancet Oncol 21(5):e240–e251
Gorin SS et al (2017) Cancer care coordination: a systematic review and meta-analysis of over 30 years of empirical studies. Ann Behav Med 51(4):532–546
Blackley K (2021) Cancer patient navigation. BMJ Support Palliat Care 11(4):396–397
Salman A et al (2016) A review of barriers to minorities’ participation in cancer clinical trials: implications for future cancer research. J Immigr Minor Health 18(2):447–453
Schmotzer GL (2012) Barriers and facilitators to participation of minorities in clinical trials. Ethn Dis 22(2):226–230
Nipp RD, Hong K, Paskett ED (2019) Overcoming barriers to clinical trial enrollment. Am Soc Clin Oncol Educ Book 39:105–114
Sayani A et al (2021) Advancing health equity in cancer care: the lived experiences of poverty and access to lung cancer screening. PLoS ONE 16(5):e0251264
National Cancer Institute (2019) NCI-designated cancer centers. Cancer research infrastructure. https://www.cancer.gov/research/infrastructure/cancer-centers. Accessed 1 Mar 2023
Funding
Funding was provided by Roswell Park Comprehensive Cancer Center Grant P30CA016056 from the National Cancer Institute and the National Institutes of Health (NCI 3P30CA016056-44S2). Community engagement efforts were supported by University of Arkansas for Medical Sciences Translational Research Institute funding awarded through the National Center for Advancing Translational Sciences of the National Institutes of Health (UL1 TR003107). This work was also supported by an award from the Health Resources and Services Administration of the Department of Health and Human Services (6 D04RH40292‐01‐01). The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the funders.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and/or the analysis and interpretation of data. Data collection was done by RSP and PAM. Data analysis and validation were performed by EH, KHKY, RM, RSP, BJW, SL, KS, and PAM. The first draft of the manuscript was written by EH, PD, and KHKY. All authors reviewed and contributed to revised versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declared no competing interests.
Consent to participate
This is a minimal risk study, and a waiver of consent documentation was approved by the University of Arkansas for Medical Sciences Institutional Review Board. Consent information was provided to study participants on paper or electronically in Research Electronic Data Capture (REDCap) Suite via a study information sheet prior to taking the survey or conducting the focus group interviews. The study information sheet provided participants a detailed description of the study including key information such as: requirements for participation, the voluntary nature of participation, rights for refusal of participation, incentives for participation, risks of participation (minimal risk of loss of confidentiality), and the process to withdraw. Participants were given time to ask questions and were provided contact information for the Principal Investigator should they have questions later.
Consent to publish
Not applicable.
Ethical approval
The University of Arkansas for Medical Sciences (UAMS) Institutional Review Board (IRB) oversees research that involves human participants with the goal of protecting participant rights, safety, and welfare by ensuring compliance with laws and regulations that pertain to research as well as with the ethical standards described in IRB and institutional policies. The IRB includes four diverse committees of reviewers and a professional office staff, who collaboratively review and approve human subject research. The IRB oversees approximately 1450 open protocols and serves as the IRB of record for UAMS and Arkansas Childrens. The IRB also collaborates with multiple institutions and independent review boards across the country. The UAMS IRB has been fully accredited by the Association for the Accreditation of Human Research Protection Programs since 2005. All study materials and procedures were approved under expedited review by the UAMS IRB (IRB#273509).
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Hallgren, E., Yeary, K.H.K., DelNero, P. et al. Barriers, facilitators, and priority needs related to cancer prevention, control, and research in rural, persistent poverty areas. Cancer Causes Control 34, 1145–1155 (2023). https://doi.org/10.1007/s10552-023-01756-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10552-023-01756-1