9 research outputs found

    Development of a Multilevel Intervention to Increase Colorectal Cancer Screening in Appalachia

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    Background Colorectal cancer (CRC) screening rates are lower in Appalachian regions of the United States than in non-Appalachian regions. Given the availability of various screening modalities, there is critical need for culturally relevant interventions addressing multiple socioecological levels to reduce the regional CRC burden. In this report, we describe the development and baseline findings from year 1 of “Accelerating Colorectal Cancer Screening through Implementation Science (ACCSIS) in Appalachia,” a 5-year, National Cancer Institute Cancer MoonshotSM-funded multilevel intervention (MLI) project to increase screening in Appalachian Kentucky and Ohio primary care clinics. Methods Project development was theory-driven and included the establishment of both an external Scientific Advisory Board and a Community Advisory Board to provide guidance in conducting formative activities in two Appalachian counties: one in Kentucky and one in Ohio. Activities included identifying and describing the study communities and primary care clinics, selecting appropriate evidence-based interventions (EBIs), and conducting a pilot test of MLI strategies addressing patient, provider, clinic, and community needs. Results Key informant interviews identified multiple barriers to CRC screening, including fear of screening, test results, and financial concerns (patient level); lack of time and competing priorities (provider level); lack of reminder or tracking systems and staff burden (clinic level); and cultural issues, societal norms, and transportation (community level). With this information, investigators then offered clinics a menu of EBIs and strategies to address barriers at each level. Clinics selected individually tailored MLIs, including improvement of patient education materials, provision of provider education (resulting in increased knowledge, p = .003), enhancement of electronic health record (EHR) systems and development of clinic screening protocols, and implementation of community CRC awareness events, all of which promoted stool-based screening (i.e., FIT or FIT-DNA). Variability among clinics, including differences in EHR systems, was the most salient barrier to EBI implementation, particularly in terms of tracking follow-up of positive screening results, whereas the development of clinic-wide screening protocols was found to promote fidelity to EBI components. Conclusions Lessons learned from year 1 included increased recognition of variability among the clinics and how they function, appreciation for clinic staff and provider workload, and development of strategies to utilize EHR systems. These findings necessitated a modification of study design for subsequent years. Trial registration Trial NCT04427527 is registered at https://clinicaltrials.gov and was registered on June 11, 2020

    Cancer Care Delivery and Women’s Health: The Role of Patient Navigation

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    Background: Patient navigation (PN) is a patient-centered health care service delivery model that assists individuals, particularly the medically underserved, in overcoming barriers (e.g., personal, logistical, system) to care across the cancer care continuum. In 2012, the American College of Surgeons Commission on Cancer (CoC) announced that healthcare facilities seeking CoC-accreditation must have PN processes in place starting January 1, 2015. The CoC mandate, in light of the recent findings from centers within the Patient Navigation Research Program, and the influx of PN interventions, warrants the present literature review.Methods: PubMed and Medline were searched for studies published from January 2010 to October 2015, particularly those recent articles within the past 2 years, addressing PN for breast and gynecological cancers, and written in English. Search terms included patient navigation, navigation, navigator, cancer screening, clinical trials, cancer patient, cancer survivor, breast cancer, gynecological cancer, ovarian cancer, uterine cancer, vaginal cancer, and vulvar cancer.Results: Consistent with prior reviews, PN was shown to be effective in helping women receive cancer screenings, receive more timely diagnostic resolution after a breast and cervical cancer screening abnormality, initiate treatment sooner, receive proper treatment, and improve quality of life after cancer diagnosis. However, several limitations were observed. The majority of PN interventions focused on cancer screening and diagnostic resolution for breast cancer. As observed in prior reviews, methodological rigor (e.g., randomized controlled trial design) was lacking. Conclusion: Future research opportunities include testing PN interventions in the post-treatment settings and among gynecological cancer patient populations, age-related barriers to effective PN, and collaborative efforts between community health workers and patient navigators as care goes across segments of the cancer control continuum. As PN programs continue to develop and become a standard of care, further research will be required to determine the effectiveness of cancer PN across the cancer care continuum, and in different patient populations

    Insurance Stability and Cancer Screening Behaviors

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    Background: Disparities in rates of cancer screening are observed in underserved populations. Lack of stable health insurance may contribute to these disparities. The goal of this study was to examine the association between insurance stability and up-to-date cancer screening in underserved populations. Methods and Findings: We enrolled 333 community participants aged 40–74 years across four different sites in three states: Chinese Americans in Boston, Massachusetts; Hispanics in Columbus, Ohio; Appalachian populations from Ohio's Appalachian counties; and Blacks and African Americans in Philadelphia, Pennsylvania. Self-reported screening rates were 77.9% for breast cancer, 71.1% for cervical cancer, and 67.7% for colorectal cancer (CRC). Screening rates fell short of Health People 2020 targets for breast, colorectal, and cervical cancer screenings. Being currently insured was associated with current CRC screenings (69.7% among insured vs. 30.7% among uninsured, p=0.0055), but not with breast or cervical cancer screenings. Stable 12-month insurance coverage was not statistically associated with up-to-date screenings. Conclusion: Having current insurance was associated with CRC screening; stability of insurance was not associated with cancer screening. Insurance coverage alone is not the main driver of cancer screening

    A Media and Clinic Intervention to Increase Colorectal Cancer Screening in Ohio Appalachia

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    Objective. To test the effectiveness of a colorectal cancer (CRC) screening intervention among adults living in Ohio Appalachia. Methods. We conducted a group-randomized trial of a county-level intervention among adults living in 12 Ohio Appalachian counties who received a media campaign and clinic intervention focused on either CRC screening or fruits and vegetables. Participants’ percentage within CRC screening guidelines was assessed with cross-sectional surveys conducted annually for four years, and validated with medical record review of screening. Results. On average, screening data were obtained on 564 intervention and 559 comparison participants per year. There was no difference in the Wave 4 CRC screening rates of intervention and comparison counties (35.2% versus 31.4%). Multivariate analyses found that high perceived risk of CRC, willingness to have a CRC test if recommended by a doctor, doctor recommendation of a CRC screening test, and patient-physician communication about changes in bowel habits, family history of CRC, and eating fruits and vegetables were significant (p<0.05) predictors of being within CRC screening guidelines. Conclusions. The intervention was not effective in increasing CRC rates among Ohio Appalachian adults. Future research should determine how media and clinic-based interventions can be modified to improve CRC screening rates among this underserved population
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