Skip to main content

ORIGINAL RESEARCH article

Front. Public Health, 11 July 2024
Sec. Public Health Education and Promotion
This article is part of the Research Topic The Impact of Primary Care on Cancer Screening Program Performance: Strategies to Increase Uptake and Effectiveness View all articles

Feasibility and efficacy of a novel audiovisual tool to increase colorectal cancer screening among rural Appalachian Kentucky adults

Aaron J. Kruse-Diehr,,
Aaron J. Kruse-Diehr1,2,3*Derek CegelkaDerek Cegelka4Elizabeth HoltsclawElizabeth Holtsclaw5Jean S. Edward,Jean S. Edward3,6Sarah C. VosSarah C. Vos7Melissa KarrerMelissa Karrer8Katie BathjeKatie Bathje5Melinda Rogers,Melinda Rogers3,9Elaine RussellElaine Russell10Jennifer Redmond Knight,,Jennifer Redmond Knight3,7,10
  • 1University of Kentucky College of Medicine, Lexington, KY, United States
  • 2Center for Implementation, Dissemination and Evidence-Based Research, University of Kentucky Center for Clinical and Translational Science, Lexington, KY, United States
  • 3Markey Cancer Center, Lexington, KY, United States
  • 4Hawaii Pacific University School of Nursing, Honolulu, HI, United States
  • 5American Cancer Society, Atlanta, GA, United States
  • 6University of Kentucky College of Nursing, Lexington, KY, United States
  • 7University of Kentucky College of Public Health, Lexington, KY, United States
  • 8Kentucky CancerLink, Lexington, KY, United States
  • 9Kentucky Cancer Program, Somerset, KY, United States
  • 10Kentucky Cancer Consortium, Lexington, KY, United States

Introduction: Residents of Appalachian regions in Kentucky experience increased colorectal cancer (CRC) incidence and mortality. While population-based screening methods, such as fecal immunochemical tests (FITs), can reduce many screening barriers, written instructions to complete FIT can be challenging for some individuals. We developed a novel audiovisual tool (“talking card”) to educate and motivate accurate FIT completion and assessed its feasibility, acceptability, and efficacy.

Materials and methods: We collected data on the talking card via: (1) cross-sectional surveys exploring perceptions of images, messaging, and perceived utility; (2) follow-up focus groups centered on feasibility and acceptability; and (3) efficacy testing in community-based FIT distribution events, where we assessed FIT completion rate, number of positive vs. negative screens, demographic characteristics of participants, and primary drivers of FIT completion.

Results: Across the three study phases, 692 individuals participated. Survey respondents positively identified with the card’s sounds and images, found it highly acceptable, and reported high-to-very high self-efficacy and response efficacy for completing FIT, with nearly half noting greater likelihood to complete screening after using the tool. Focus group participants confirmed the acceptability of the individuals featured on the card. Nearly 75% of participants provided a FIT accurately completed it, with most indicating the talking card, either alone or combined with another strategy, helped with completion.

Discussion: To reduce CRC screening disparities among Appalachian Kentuckians, population-based screening using contextually relevant implementation strategies must be used alongside clinic-based education. The talking card represents a novel and promising strategy to promote screening uptake in both clinical and community settings.

1 Introduction

Along with increased colorectal cancer (CRC) incidence (1) and mortality (2) (Figure 1), CRC screening prevalence is lower in rural Appalachian regions of Kentucky than in non-Appalachian regions (3), a disparity partly related to fewer and more geographically dispersed regional specialists available to perform colonoscopy (Figure 2). Individuals living in Appalachian counties tend to earn less money, are more likely to be unemployed, have lower educational attainment, and report poorer health than their non-Appalachian counterparts (4). Additionally, less than a quarter of Appalachian residents hold a bachelor’s degree or higher, a proportion that drops to around 15% for residents living in the most rural parts of Appalachia (4), making health literacy a primary concern for addressing the health needs of Appalachian residents (5). Particularly in rural Kentucky, individuals often live in extremely close-knit communities, and research has shown that Appalachian residents tend to prefer health communication materials reflective of local culture to mass-produced mainstream campaigns (6). Furthermore, addressing patient factors specific to this population–including knowledge of CRC, misperceptions of CRC and screening, fear, and stigma–is critical for increasing CRC screening uptake (7, 8). Methods, materials, images, and communication styles used in screening programs should all reflect local interests, values, and context while simultaneously accounting for varying literacy levels in the intended audience (9).

Figure 1
www.frontiersin.org

Figure 1. CRC incidence and mortality rates in Kentucky, by Appalachian region.

Figure 2
www.frontiersin.org

Figure 2. CRC screening rates and distance to GI services in Appalachian Kentucky.

Particularly in rural environments where outpatient services may be limited or geographically dispersed (10), offering a range of evidence-based screening options is critical to increasing overall community screening rates. The use of fecal immunochemical test (FIT) kits as a screening modality has been shown to improve CRC screening by reducing or removing common misperceptions and barriers associated with other screening modalities (e.g., colonoscopy) (11, 12). FIT kits also can be completed in the privacy of one’s home, thereby reducing potential test stigma. Nevertheless, individuals can be confused by the processes required to complete FIT accurately, and instructions included with kits are not always appropriate for low-literacy populations (13). In response to these needs, the Kentucky Cancer Consortium (KCC) (Kentucky’s Comprehensive Cancer Control Coalition) partnered with the American Cancer Society to develop and promote a custom-recordable audio communication tool (“talking card”) intended to help increase CRC screening via FIT. The card provides audio-guided instructions about the importance of CRC screening, the ease of using FIT, and the process for completing a FIT kit. Local CRC survivors from rural Kentucky, one male and one female, are featured on the front of the cards alongside a brief, simple written message about the importance of CRC screening. The inside of the card includes pictorial descriptions of the specific steps needed to complete FIT, as well as audio instructions of those same steps recorded by the individuals on the front of the cards. The talking card size was designed to match the dimensions of the Polymedco OC-Light® FIT mailer, thus allowing them to be used as a potential implementation strategy to increase screening uptake in mailed FIT interventions (Figure 1). The printing cost of the talking card was $3.15 per card, making it an economically feasible strategy to add to a mailed FIT campaign, an evidence-based approach previously proven to be both feasible and cost-effective in eastern Kentucky clinical settings (14) (Figure 3).

Figure 3
www.frontiersin.org

Figure 3. Male-targeted audiovisual tool front cover.

For nearly 20 years, one of the focus areas for KCC has been implementing strategies to increase CRC screening by promoting coordination and collaboration among member organizations, which include health care systems. In particular, given the novelty (e.g., simple audiovisual technology that does not require internet connectivity) and contextual focus (e.g., uses images and voices of local individuals with simple audio instructions) of the talking card, KCC wanted to assess both its feasibility and utility before scaling out this strategy to health care systems. Specifically, KCC sought to (a) identify whether the intended population perceived the talking card to be feasible and appropriate and (b) test its efficacy at increasing CRC screening rates. To do this, KCC convened organizational, clinical, and academic partners in a multi-phased effort to explore the feasibility, acceptability and efficacy of the talking cards to increase CRC screening among rural Kentucky residents as part of a mailed FIT campaign.

2 Materials and methods

Research on the talking cards have been ongoing since 2018 and have focused both on feasibility and efficacy via three major efforts: (1) cross-sectional surveys exploring perceptions of the cards’ images, messaging, and perceived utility (i.e., feasibility); (2) follow-up focus groups to explore specific characteristics related to the cards’ feasibility and acceptability; and (3) efficacy testing of the talking card in conjunction with community-based FIT distribution events. These efforts were coordinated by KCC in partnership with the University of Kentucky (research assistance), Kentucky Cancer Program (screening/awareness events), the Markey Cancer Center (FIT kits), the Kentucky CancerLink (patient navigation services) and the American Cancer Society (audio supplement cards). All methods, materials, and designs were approved by the University of Kentucky Institutional Review Board or were designated as Not Human Research (NHR) due to being conducted as quality improvement activities within the scope of an organization’s (KCC, Kentucky Cancer Program, Kentucky CancerLink) existing standard operating procedures.

2.1 Design, setting and participants

Feasibility and acceptability data for the talking card were collected via a mixed-methods (i.e., QUAN ➔ qual) design consisting of both (1) survey mailings to local screening-eligible patients of three partner family medicine clinics in eastern Kentucky, and (2) two follow-up focus groups with screening-eligible individuals in Appalachian eastern Kentucky. Eligibility criteria for potential participants included being: (1) aged 45–75, (2) a resident of eastern Kentucky, and (3) at average risk for CRC as determined by US Preventive Services Task Force (USPSTF) guidelines (i.e., eligible to use FIT as a CRC screening modality). Surveys were mailed to up to 200 patients randomly selected from each clinic’s list of eligible patients (as determined by their electronic health record system) using a 4-wave survey mailing process (15) (described under “Data Collection” below). Since the focus of the survey was feasibility and because results were intended to be descriptive in nature, there was no power calculation to guide the sample size. Focus group participants were purposively selected with the assistance of community organization partners in eastern Kentucky.

To determine efficacy of the talking cards, outreach partners invited screening-eligible potential participants to local community-clinical linkage events. The events were health-focused, sometimes included a large inflatable colon that participants could “walk through” and were usually part of a larger outreach and awareness event. Events occurred at local hospitals or clinics as well as through community-wide events. Those at risk for colon cancer who participated in the event and showed an interest in the FIT kit had an opportunity to participate. The outreach partners filled out a contact/eligibility form and submitted it to a partner for patient navigation services. The patient navigation partner evaluated the individual’s information and determined eligibility (50–75 years old, screening nonadherent, at average risk). Critically, patient navigators also engaged primary care physicians and insurance companies, when possible, to connect this project with participants’ health care services. To promote consistency across medical records, patient navigators sent either a fax or letter to each participant’s primary care provider with the completed FIT test and attempted to contact their insurance company to provide FIT results.

2.2 Data collection

2.2.1 Surveys

Survey mailings featured a 4-wave mailing process (15) in which a packet was sent out to each eligible participant, consisting of six items: (1) a cover letter, signed by a provider at the respective clinic, explaining the study; (2) a brief, simple, pictorial explanation of FIT as a CRC screening modality; (3) a gender-specific version of the talking card; (4) a 3-page survey assessing the talking card; (5) a self-addressed stamped envelope (SASE); and (6) a $2 bill as an incentive. Wave 2 included all items except the $2 incentive, Wave 3 included all items except for the $2 bill and the talking card itself (due to printing cost considerations), and Wave 4 consisted of a postcard reminder. The combined instrument contained both scales created by a health communication expert (SV), as well as previously validated scales. Items assessed self-efficacy (16) and response efficacy regarding FIT, identification with the talking card’s sounds and images, behavioral intentions to get screened for CRC, and perceived acceptability (17) of the talking card.

2.2.2 Focus groups

Follow-up focus groups were facilitated by a qualitative research expert (AK-D) and a community organization partner with extensive experience in community-based cancer education (EH) to contextualize survey findings. Focus group participants were consented, provided photocopies of gender-congruent talking cards and asked to listen as the focus group facilitator opened a talking card and demonstrated its use. The facilitator used a semi-structured interview protocol focused on knowledge of CRC screening and FIT, as well as perceptions of ways in which the talking cards’ messages and images might educate and motivate CRC screening via FIT. Each focus group lasted approximately 1 h. Upon completion, participants completed a survey comprised of three parts: (1) a brief 12-item measure of intervention acceptability, appropriateness, and feasibility (17); (2) a 4-item instrument assessing screening history, recommendation, and perceived barriers; and (3) a demographic component.

2.2.3 Efficacy testing

Finally, statewide community-clinical linkage events were used purposively to collect data on efficacy of the talking cards across three implementation waves. At these events, KCP, Markey Cancer Center and/or Kentucky CancerLink discussed colorectal cancer screening with participants, determined eligibility and had participants fill out eligibility/contact forms which were reviewed by Kentucky CancerLink staff. Those who met eligibility requirements received a mailed FIT kit, talking card, and self-addressed stamped postcard (Figure 4) with an opportunity to provide feedback. Kentucky CancerLink patient navigators contacted participants up to three times and sent a mailed letter to non-responders to assist participants with FIT completion. Upon receipt of FIT, Kentucky CancerLink processed the sample in their CLIA-certified lab; contacted the participant with results; and asked permission to share the results with the patient’s primary care provider, including assisting patients in securing a primary care physician if they did not have one already; and navigating patients with a positive FIT to get a follow-up screening colonoscopy.

Figure 4
www.frontiersin.org

Figure 4. Feedback postcard for community-based FIT distribution campaign.

2.3 Data analysis

Survey data were imputed into an Excel spreadsheet which was uploaded into IBM SPSS Statistics (18) for analysis. Findings from the surveys helped inform focus group questions, which were intended to provide additional context. The two focus groups were audio-taped, transcribed verbatim by a professional transcription service, and spot checked for accuracy by the principal investigator. Transcripts were coded thematically by two members of the research team (AK-D, EH) as per Braun and Clarke (19). Codes related both to broad question topics and were also developed inductively based on conversations that emerged from open conversation within the focus groups and were compiled using a template-based codebook with code operationalizations and exemplars. After individual coding, the investigators met to refine codes and their operationalizations before developing broad themes to describe the focus groups’ primary findings. Although we were unable to apply “member checking” to our themes due to the challenging nature of recruiting our sample, we referenced published literature on CRC screening barriers as well as American Cancer Society community projects to ensure our findings were aligned with prior recent work. Ultimately, no changes were deemed necessary.

Efficacy testing examined the impact of the talking card implementation (i.e., FIT completion rate, number of positive vs. negative screens) as primary outcomes, data on primary drivers of FIT completion from the self-addressed stamped postcard (i.e., any combination of talking card, patient navigation, or family/friend encouragement) as secondary outcomes, and demographic characteristics of participants (i.e., insurance status, race/ethnicity, gender). These data were compiled in an Excel spreadsheet and compared descriptively across 3 waves of implementation.

3 Results

3.1 Study sample

A total of 692 individuals participated across all three study phases. For the survey mailings, of 353 eligible participants, 67 surveys (19% response rate) were completed and returned. Participants were mainly female (60%), white (98.5%), insured via Medicare (58%), and had a median age of 68 years old (see Table 1). A plurality had a bachelor’s degree or higher (40%) and reported an annual household income of less than $25,000 (25%). A total of 24 individuals participated in the two focus groups. They were also predominantly female (75%), white (91.7%), and between 61 and 70 years old (50%). Most had an educational attainment of associate degree or below (66.6%), a household annual income of between $35,000 and $74,000 (54.2%) and were insured either by an employer plan (54.2%) or Medicare (45.8%). A large majority (87.5%) reported having at least one person they considered their primary medical provider.

Table 1
www.frontiersin.org

Table 1. Survey and focus group participant demographics.

In efficacy testing, across 3 years of implementation, a total of 601 eligible participants from 73 out of 120 Kentucky counties were identified, 425 of whom (71%) completed a FIT kit. Participants were predominantly female, White, and had some sort of insurance. Only 30 individuals (11%) reported not having any type of insurance.

3.2 Feasibility

Survey respondents positively identified with the audiovisual tool’s sounds and images and found it highly acceptable. They also reported high-to-very high self-efficacy (M = 3.65, SE = 0.62 on a 4-point scale ranging from completely disagree to completely agree) and response efficacy (M = 3.43, SD = 0.69) for completing FIT after using the audiovisual tool. Nearly half stated they felt better about FIT (46%) and would be more likely to complete screening (48%) after using the tool. While a majority (71.6%) noted never needing help reading written material from the doctor or pharmacy, 12% reported either sometimes, often, or always requiring assistance.

Focus group participants (n = 24) stated that CRC screening, in general, is often considered “taboo” in their communities, with one participant stating, “We do not talk about that. You can talk to your kids about [going to the bathroom], but adults…it’s some sort of embarrassing shameful thing.” Other concerns related primarily to colonoscopy, specifically the preparation process and perceptions of discomfort related to the procedure itself. When presented with the talking card, focus group members perceived it to be an improvement over current screening educational materials. One individual commented positively on the audio component, stating that “there [are] probably a lot [of patients] who cannot read or write.” Additionally, the card’s technology was preferred over other approaches such as videos or QR codes due to concerns about spotty internet in rural Kentucky, as well as potential issues with technological literacy. Participants also considered the individuals whose pictures and voices were featured on the cards to be appropriate, noting their Appalachian accents, clear diction, and CRC survivorship; in particular, having a CRC survivor as the face and voice of the card was considered by most to be preferable to a doctor or nurse as the card’s representative. Other participants focused on the uniqueness of the card in general, remarking that they would show it to their family and friends. Furthermore, the simplicity of the card was often cited positively: “[It] just walks you right through it. I mean, step by step. Just bam, bam, bam… And you can listen to it as many times as you want in case you get lost.” Participants universally endorsed the talking card as a strategy to incentivize FIT completion but noted that a primer letter from a physician should be sent first, or people might mistake the mailing as junk mail.

In the summative focus group survey, participants rated the talking card as highly acceptable [average of 4.76 (SD = 0.43) on a 5-point scale, ranging from strongly disagree to strongly agree], appropriate (M = 4.79, SD = 0.36), and feasible (M = 4.85, SD = 0.31) to motivate their screening intentions, scores that were reflected in focus group discussion, where every participant noted a high-to-very high level of confidence that they would be able to complete a FIT kit after viewing the talking card. Notably, compared to survey mailings, focus group participants had a higher percentage (20.8%) of participants who reported either sometimes, often, or always requiring assistance reading written materials from the doctor or pharmacy. Table 1 displays participant demographics for both survey mailings and focus groups.

3.3 Efficacy

Efficacy testing for the talking card yielded promising findings, with 67% (n = 425) of eligible participants accurately completing their FIT kit. Of those completers, 305 (79%) had a negative screen, while 82 (21%) had a positive screen and were navigated to receive follow-up colonoscopy, 42 (51%) of whom completed the procedure, though all patients and their providers were given results of the screen regardless. From those colonoscopies, 24 patients (57% of positive screens) had polyps removed, and one patient was diagnosed with CRC (Table 2). Notably, several patients in the 2nd and 3rd years of the study expressed hesitance to receive a colonoscopy due to rising concerns over COVID-19.

Table 2
www.frontiersin.org

Table 2. Wellness event participation demographics.

A total of 140 participants (33%) who completed a FIT kit returned their postcard with feedback on drivers of screening completion. Most reported that the talking card helped them successfully complete their FIT kit, either alone or in combination with something else, including patient navigation, friend/family support, or other types of support (n = 91; 65%). The talking card in combination with follow-up patient navigation was cited by 29% (n = 41), and the talking card alone by 14% (n = 20), as the primary motivator(s) for FIT completion (Table 3).

Table 3
www.frontiersin.org

Table 3. Strategies that helped patients complete FIT.

4 Discussion

The purpose of this study was to explore the feasibility, acceptability and efficacy, of a novel audiovisual tool (“talking card”) among mostly rural Kentucky residents. Stool-based testing, which includes the fecal occult blood test and FIT, is one of two USPSTF recommended (20) screening modalities for CRC screening, along with direct visualization (typically colonoscopy). Screening eligible individuals often cite barriers such as disgust (21), overall cost of the procedure (22), day of procedure requirements for transportation and requesting time off work (23), and fear and embarrassment (24) as common barriers to colonoscopy. The promotion of noninvasive stool-based modalities is particularly important in disparate populations that might be disproportionately impacted by these barriers.

Research has indicated that CRC interventions are most effective when they include multicomponent strategies that address multilevel barriers to screening uptake (2527). The talking card represents a unique and contextually relevant implementation strategy to increase screenings among residents of Appalachian Kentucky, a region with unique barriers to CRC screening that may contribute to excess CRC mortality (28). Our early, but promising, feasibility and efficacy findings suggest that the talking card would add a strategic layer to improve CRC screening uptake in eastern Kentucky, a region with markedly higher CRC incidence and mortality (1, 2) and lower rates of screening (3). Even for people who may not have adequate health literacy to comprehend medical instructions (5), the talking card can provide clear and relatable audio and pictorial instructions to assist in FIT completion.

Primary care represents an ideal setting to promote CRC screening. The use of inreach strategies (29) in the primary care setting, such as patient and provider reminders or use of shared decision making aids, has been shown to be effective at increasing patient screening adherence (30, 31). Inreach focuses on providing cancer screenings to those who already utilize health care services (29) and often includes face-to-face discussions with clinicians to determine CRC screening need based on health history (30, 32). Because of this dedicated one-on-one time with patients, primary care physicians are uniquely positioned to assess patients presenting with CRC-related symptoms and recommend screening colonoscopy (33). In Appalachian Kentucky, these physicians often live in their communities, have developed years of rapport with their patients, and can easily fill this important role. Inreach alone, however, may not be sufficient in every clinical setting, making the use of population-based outreach (i.e., mailed FIT) also necessary for diagnosing CRC, particularly among asymptomatic patients or those do not regularly utilize health care services (33).

Ultimately, research suggests using a combination of strategies to augment both inreach and outreach is likely most effective at increasing population-based screening rates (29, 34). Outreach strategies in mailed FIT campaigns include phone calls, follow-up mailers, awareness campaigns, and mass media to reach individuals within the community who are less likely to use medical services consistently (35, 36). In eastern Kentucky, rural clinic personnel have cited time and workload concerns as barriers to promoting CRC screening (28), highlighting the need for outreach strategies in addition to any existing clinic-based inreach. Furthermore, combining multiple outreach strategies has been shown to increase FIT return rates more than using an isolated strategy (27, 3739), a finding echoed in the present study where nearly two-thirds of participants in the efficacy component noted that the talking card combined with another strategy was most helpful for them in completing their FIT. Although it is not known which specific strategies (or number of strategies) would be most effective at increasing screening uptake in eastern Kentucky, our nascent findings suggest the talking card might be useful as an outreach (e.g., added to a mailed FIT campaign) strategy. Future research should focus on exploring the talking card’s efficacy as an inreach strategy, such as being used by clinicians as a shared decision making tool to promote screening.

4.1 Limitations

Although we sought to evaluate the feasibility, acceptability, and efficacy of the talking card comprehensively and across multiple years among Kentucky residents, our findings should nonetheless be interpreted with a few limitations in mind. First, our efficacy testing was conducted in community settings. Screening promotion at community events tends to yield higher uptake than in clinical settings because these events often minimize barriers associated with health care settings (40), including cost. Additionally, individuals who attend health fairs tend to be more health-conscious generally, given that they willingly choose to attend these events, perhaps partly explaining why our FIT screening positivity rate was slightly higher than in other (mostly primary care-based) studies (41, 42). Future studies should consider testing the effectiveness of the talking card in population-based mailed FIT campaigns. Second, whereas screening adherence is critical to reduce late-stage CRC incidence and mortality, modification of risk behaviors is also necessary to prevent CRC; our study did not assess prevalence of risk behaviors, including diet or activity, in our participants, though attendees of the community events were provided educational pamphlets that described health promoting behaviors for preventing CRC. Third, our focus group findings utilized purposive sampling, and it is possible our participants’ views were not representative of those of other individuals living in Appalachian Kentucky, though our study sample largely mirrored the demographic characteristics of Kentuckians as a whole; similarly, survey respondents might differ from nonrespondents in significant ways, including regarding health (and general) literacy. Fourth, the lack of a control group only allows us to make preliminary inferences on the efficacy of the talking card, and future studies should examine its effectiveness in a randomized controlled trial. Fifth, though our talking card represents an inexpensive strategy, costing just over $3 per card to produce, we were unable to collect return-on-investment data for the card; future studies should include a rigorous cost effectiveness analysis, particularly when it is used in primary care settings. Finally, an overwhelming majority of our participants reported having health insurance and at least one person they considered a primary care provider. It is possible, and likely, that both uninsured individuals and those who do not typically access health care services have different perceptions and needs related to CRC screening than the individuals who participated in this study. This possibility nevertheless underscores the importance of conducting population-based CRC screening outreach in Appalachian Kentucky.

5 Conclusion

Appalachian Kentucky residents have lower CRC screening rates (3) and subsequently higher CRC mortality (2) than non-Appalachian Kentuckians, necessitating attention to developing and testing strategies that might mitigate barriers and increase screening in this unique population. The talking card represents a novel strategy featuring the voices and images of local Appalachian CRC survivors to motivate and educate about CRC screening. Our findings suggest that Kentucky residents found the talking cards to be feasible, acceptable, and appropriate to promote screening, and our early findings suggest they are effective at increasing FIT return when distributed at community health events. Future research will focus on their utility at increasing screening uptake in clinical settings and in mailed FIT campaigns, particularly in rural, Appalachian regions of Kentucky.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The University of Kentucky Institutional Review Board approved of all phases of this study in accordance with local legislation and institutional requirements. Focus group participants provided written informed consent to participate in this study, and survey recipients provided implied consent via response. Efficacy testing data were determined to be Not Human Research by the University of Kentucky Institutional Review Board because all data were obtained by an outside organization as part of their standard operating procedure, and investigators had no access to personal health information or identifiers when viewing or analyzing data. Written informed consent was obtained from individuals for the publication of any potentially identifiable images or data included in this article.

Author contributions

AK-D: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing. DC: Writing – original draft, Writing – review & editing. EH: Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing – review & editing. JE: Methodology, Writing – original draft, Writing – review & editing. SV: Methodology, Writing – original draft, Writing – review & editing. MK: Conceptualization, Data curation, Writing – original draft, Writing – review & editing. KB: Conceptualization, Data curation, Writing – original draft, Writing – review & editing. MR: Conceptualization, Data curation, Investigation, Writing – original draft, Writing – review & editing. ER: Conceptualization, Writing – original draft, Writing – review & editing. JK: Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This project was supported by CDC Cancer Prevention and Control Programs for State, Territorial and Tribal Organizations Cooperative Agreement 6 NU58DP006313 (Kentucky Cancer Consortium).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Wilson, RJ, Ryerson, AB, Singh, SD, and King, JB. Cancer incidence in Appalachia, 2004–2011. Cancer Epidemiol Biomarkers Prev. (2016) 25:250–8. doi: 10.1158/1055-9965.EPI-15-0946

PubMed Abstract | Crossref Full Text | Google Scholar

2. Siegel, RL, Sahar, L, Robbins, A, and Jemal, A. Where can colorectal cancer screening interventions have the most impact? Cancer Epidemiol Biomarkers Prev. (2015) 24:1151–6. doi: 10.1158/1055-9965.EPI-15-0082

Crossref Full Text | Google Scholar

3. Behavioral Risk Factor Surveillance System . (2014). Available at: https://www.cdc.gov/brfss/index.html.

Google Scholar

4. Pollard, K, and Jacobsen, LA, Population reference bureau. The Appalachian region: a data overview from the 2006–2010 American community survey. Appalachian Regional Commission. Available at: https://www.arc.gov/assets/research_reports/PRB-DataOverview-2012.pdf.

Google Scholar

5. Kutner, M, Greenburg, E, Jin, Y, and Paulsen, C. The health literacy of America's adults: Results from the 2003 national assessment of adult literacy. National Center for Education Statistics. Report No.: NCES 2006-483. (2006).

Google Scholar

6. Rosenwasser, LA, McCall-Hosenfeld, JS, Weisman, CS, Hillemeier, MM, Perry, AN, and Chuang, CH. Barriers to colorectal cancer screening among women in rural Central Pennsylvania: primary care physicians' perspective. Rural Remote Health. (2013) 13:2504. doi: 10.22605/RRH2504

PubMed Abstract | Crossref Full Text | Google Scholar

7. Dignan, M, Shelton, B, Slone, SA, Tolle, C, Mohammad, S, Schoenberg, N, et al. Effectiveness of a primary care practice intervention for increasing colorectal cancer screening in Appalachian Kentucky. Prev Med. (2014) 58:70–4. doi: 10.1016/j.ypmed.2013.10.018

PubMed Abstract | Crossref Full Text | Google Scholar

8. Portnoy, B . Healthy people in rural areas by the year 2000 In: R Couto, NK Simpson, and G Harris, editors. Sowing seeds in the mountains: Community-based coalitions for cancer prevention. Bethesda: National Cancer Institute (1994). 102–19.

Google Scholar

9. Royse, D, and Dignan, M. Fatalism and cancer screening in Appalachian Kentucky. Fam Community Health. (2011) 34:126–33. doi: 10.1097/FCH.0b013e31820e0d5d

Crossref Full Text | Google Scholar

10. Miller, KEM, Miller, KL, Knocke, K, Pink, GH, Holmes, GM, and Kaufman, BG. Access to outpatient services in rural communities changes after hospital closure. Health Serv Res. (2021) 56:788–801. doi: 10.1111/1475-6773.13694

PubMed Abstract | Crossref Full Text | Google Scholar

11. Brenner, AT, Rhode, J, Yang, JY, Baker, D, Drechsel, R, Plescia, M, et al. Comparative effectiveness of mailed reminders with and without fecal immunochemical tests for Medicaid beneficiaries at a large county health department: a randomized control trial. Cancer. (2018) 124:3346–54. doi: 10.1002/cncr.31566

PubMed Abstract | Crossref Full Text | Google Scholar

12. Kluhsman, BC, Lengerich, EJ, Fleisher, L, Paskett, ED, Miller-Halegoua, SM, and Balshem, A. A pilot study for using fecal immunochemical testing to increase colorectal cancer screening in Appalachia, 2008-2009. Prev Chronic Dis. (2012) 9:110160. doi: 10.5888/pcd9.110160

Crossref Full Text | Google Scholar

13. Coronado, GD, Sanchez, J, Petrik, A, Kapka, T, DeVoe, J, and Green, B. Advantages of wordless instructions on how to complete a fecal immunochemical test: lessons from patient advisory council members of a federally qualified health center. J Cancer Educ. (2014) 29:86–90. doi: 10.1007/s13187-013-0551-4

PubMed Abstract | Crossref Full Text | Google Scholar

14. Hardin, V, Tangka, FKL, Wood, T, Boisseau, B, Hoover, S, DeGroff, A, et al. The effectiveness and cost to improve colorectal Cancer screening in a federally qualified homeless Clinic in Eastern Kentucky. Health Promot Pract. (2020) 21:905–9. doi: 10.1177/1524839920954165

PubMed Abstract | Crossref Full Text | Google Scholar

15. Dillman, DA . The design and administration of mail surveys. Annu Rev Sociol. (1991) 17:225–49. doi: 10.1146/annurev.so.17.080191.001301

Crossref Full Text | Google Scholar

16. von Wagner, C, Semmler, C, Good, A, and Wardle, J. Health literacy and self-efficacy for participating in colorectal cancer screening: the role of information processing. Patient Educ Couns. (2009) 75:352–7. doi: 10.1016/j.pec.2009.03.015

PubMed Abstract | Crossref Full Text | Google Scholar

17. Weiner, BJ, Lewis, CC, Stanick, C, Powell, BJ, Dorsey, CN, Clary, AS, et al. Psychometric assessment of three newly developed implementation outcome measures. Implement Sci. (2017) 12:108. doi: 10.1186/s13012-017-0635-3

PubMed Abstract | Crossref Full Text | Google Scholar

18. IBM Corp . IBM SPSS statistics for apple, version 28.0. Armonk, NY: IBM Corp. (2021).

Google Scholar

19. Braun, V, and Clarke, V. Using thematic analysis in psychology. Qual Res Psychol. (2006) 3:77–101. doi: 10.1191/1478088706qp063oa

Crossref Full Text | Google Scholar

20. US Preventive Services Task Force . Screening for colorectal cancer: US preventive services task force recommendation statement. JAMA. (2021) 325:1965–77. doi: 10.1001/jama.2021.6238

Crossref Full Text | Google Scholar

21. Scaglioni, G, Guidetti, M, and Cavazza, N. The role of disgust as an emotional barrier to colorectal cancer screening participation: a systematic review and meta-analysis. Psychol Health. (2023) 38:389–408. doi: 10.1080/08870446.2021.1967351

PubMed Abstract | Crossref Full Text | Google Scholar

22. Knight, JR, Kanotra, S, Siameh, S, Jones, J, Thompson, B, and Thomas-Cox, S. Understanding barriers to colorectal cancer screening in Kentucky. Prev Chronic Dis. (2015) 12:E95. doi: 10.5888/pcd12.140586

Crossref Full Text | Google Scholar

23. Stone, BK, Gates, JI, and Monteiro, KA. Social determinants of health: are colonoscopies always fit for duty? Am J Manag Care. (2023) 29:395–401. doi: 10.37765/ajmc.2023.89405

PubMed Abstract | Crossref Full Text | Google Scholar

24. Reynolds, LM, Bissett, IP, and Consedine, NS. Emotional predictors of bowel screening: the avoidance-promoting role of fear, embarrassment, and disgust. BMC Cancer. (2018) 18:518. doi: 10.1186/s12885-018-4423-5

PubMed Abstract | Crossref Full Text | Google Scholar

25. Mohan, G, Chattopadhyay, SK, Ekwueme, DU, Sabatino, SA, Okasako-Schmucker, DL, Peng, Y, et al. Economics of multicomponent interventions to increase breast, cervical, and colorectal cancer screening: a community guide systematic review. Am J Prev Med. (2019) 57:557–67. doi: 10.1016/j.amepre.2019.03.006

PubMed Abstract | Crossref Full Text | Google Scholar

26. Davis, MM, Freeman, M, Shannon, J, Coronado, GD, Stange, KC, Guise, JM, et al. A systematic review of clinic and community intervention to increase fecal testing for colorectal cancer in rural and low-income populations in the United States - how, what and when? BMC Cancer. (2018) 18:40. doi: 10.1186/s12885-017-3813-4

PubMed Abstract | Crossref Full Text | Google Scholar

27. Dougherty, MK, Brenner, AT, Crockett, SD, Gupta, S, Wheeler, SB, Coker-Schwimmer, M, et al. Evaluation of interventions intended to increase colorectal cancer screening rates in the United States: a systematic review and meta-analysis. JAMA Intern Med. (2018) 178:1645–58. doi: 10.1001/jamainternmed.2018.4637

PubMed Abstract | Crossref Full Text | Google Scholar

28. Kruse-Diehr, AJ, Dignan, M, Cromo, M, Carman, AL, Rogers, M, Gross, D, et al. Building cancer prevention and control research capacity in rural Appalachian Kentucky primary care clinics during COVID-19: development and adaptation of a multilevel colorectal cancer screening project. J Cancer Educ. (2022) 37:1407–13. doi: 10.1007/s13187-021-01972-w

PubMed Abstract | Crossref Full Text | Google Scholar

29. Chou, CK, Chen, SL, Yen, AM, Chiu, SY, Fann, JC, Chiu, HM, et al. Outreach and inreach organized service screening programs for colorectal cancer. PLoS One. (2016) 11:e0155276. doi: 10.1371/journal.pone.0155276

PubMed Abstract | Crossref Full Text | Google Scholar

30. Edwards, AG, Naik, G, Ahmed, H, Elwyn, GJ, Pickles, T, Hood, K, et al. Personalised risk communication for informed decision making about taking screening tests. Cochrane Database Syst Rev. (2013) 2013:3. doi: 10.1002/14651858.CD001865.pub3

Crossref Full Text | Google Scholar

31. Paskett, ED, Tatum, CM, D’Agostino, R, Rushing, J, Velez, R, Michielutte, R, et al. Community-based interventions to improve breast and cervical cancer screening: results of the Forsyth County Cancer screening (FoCaS) project. Cancer Epidemiol Biomarkers Prev. (1999) 8:453–9.

Google Scholar

32. Weinberg, DS, Myers, RE, Keenan, E, Ruth, K, Sifri, R, Ziring, B, et al. Genetic and environmental risk assessment and colorectal cancer screening in an average-risk population: a randomized trial. Ann Intern Med. (2014) 161:537–45. doi: 10.7326/M14-0765

PubMed Abstract | Crossref Full Text | Google Scholar

33. Calanzani, N, Chang, A, Van Melle, M, Pannebakker, MM, Funston, G, and Walter, FM. Recognising colorectal cancer in primary care. Adv Ther. (2021) 38:2732–46. doi: 10.1007/s12325-021-01726-6

PubMed Abstract | Crossref Full Text | Google Scholar

34. Castañeda, SF, Bharti, B, Rojas, M, Mercado, S, Bearse, AM, Camacho, J, et al. Outreach and inreach strategies for colorectal cancer screening among Latinos at a federally qualified health center: a randomized controlled trial, 2015-2018. Am J Public Health. (2020) 110:587–94. doi: 10.2105/AJPH.2019.305524

PubMed Abstract | Crossref Full Text | Google Scholar

35. Logan, RF, Patnick, J, Nickerson, C, Coleman, L, Rutter, MD, von Wagner, C, et al. Outcomes of the bowel Cancer screening Programme (BCSP) in England after the first 1 million tests. Gut. (2012) 61:1439–46. doi: 10.1136/gutjnl-2011-300843

PubMed Abstract | Crossref Full Text | Google Scholar

36. Coronado, GD . Who is reached with clinic in-reach and outreach strategies to promote colorectal Cancer screening? Am J Public Health. (2020) 110:437–9. doi: 10.2105/AJPH.2020.305593

PubMed Abstract | Crossref Full Text | Google Scholar

37. Coury, J, Miech, EJ, Styer, P, Petrik, AF, Coates, KE, Green, BB, et al. What's the "secret sauce"? How implementation variation affects the success of colorectal cancer screening outreach. Implement Sci Commun. (2021) 2:5. doi: 10.1186/s43058-020-00104-7

PubMed Abstract | Crossref Full Text | Google Scholar

38. Murphy, CC, Halm, EA, Zaki, T, Johnson, C, Yekkaluri, S, Quirk, L, et al. Colorectal cancer screening and yield in a mailed outreach program in a safety-net healthcare system. Dig Dis Sci. (2022) 67:4403–9. doi: 10.1007/s10620-021-07313-7

PubMed Abstract | Crossref Full Text | Google Scholar

39. Singal, AG, Gupta, S, Skinner, CS, Ahn, C, Santini, NO, Agrawal, D, et al. Effect of colonoscopy outreach vs fecal immunochemical test outreach on colorectal cancer screening completion: a randomized clinical trial. JAMA. (2017) 318:806–15. doi: 10.1001/jama.2017.11389

PubMed Abstract | Crossref Full Text | Google Scholar

40. Murray, K, Liang, A, Barnack-Tavlaris, J, and Navarro, AM. The reach and rationale for community health fairs. J Cancer Educ. (2014) 29:19–24. doi: 10.1007/s13187-013-0528-3

PubMed Abstract | Crossref Full Text | Google Scholar

41. Nielson, CM, Petrik, AF, Jacob, L, Vollmer, WM, Keast, EM, Schneider, JL, et al. Positive predictive values of fecal immunochemical tests used in the STOP CRC pragmatic trial. Cancer Med. (2018) 7:4781–90. doi: 10.1002/cam4.1727

PubMed Abstract | Crossref Full Text | Google Scholar

42. Bailey, SER, Abel, GA, Atkins, A, Byford, R, Davies, SJ, Mays, J, et al. Diagnostic performance of a faecal immunochemical test for patients with low-risk symptoms of colorectal cancer in primary care: an evaluation in the south west of England. Br J Cancer. (2021) 124:1231–6. doi: 10.1038/s41416-020-01221-9

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: colorectal cancer, cancer screening, health communication, Appalachia, rural

Citation: Kruse-Diehr AJ, Cegelka D, Holtsclaw E, Edward JS, Vos SC, Karrer M, Bathje K, Rogers M, Russell E and Knight JR (2024) Feasibility and efficacy of a novel audiovisual tool to increase colorectal cancer screening among rural Appalachian Kentucky adults. Front. Public Health. 12:1415607. doi: 10.3389/fpubh.2024.1415607

Received: 10 April 2024; Accepted: 28 June 2024;
Published: 11 July 2024.

Edited by:

Cecilia Acuti Martellucci, University of Ferrara, Italy

Reviewed by:

Eugene Lengerich, The Pennsylvania State University, United States
Hyunmin Kim, University of Southern Mississippi, United States

Copyright © 2024 Kruse-Diehr, Cegelka, Holtsclaw, Edward, Vos, Karrer, Bathje, Rogers, Russell and Knight. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Aaron J. Kruse-Diehr, kruse-diehr@uky.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.