Colorectal cancer (CRC) is the third most common cause of cancer incidence and mortality among men and women in the United States []. By 2030, it is projected to become the leading cause of death among patients diagnosed with early-onset cancer (under the age of 50 years) []. Approximately 14%-25% of early-onset CRCs are linked to hereditary factors, irrespective of family history [,]. Identifying germline variants in patients with CRC can help reduce morbidity and mortality by enabling guided treatment decisions, risk management to prevent and detect new primary cancers early, and cascade testing for at-risk relatives [-]. The National Comprehensive Cancer Network (NCCN) Guidelines recommend multigene panel testing (MGPT) for all individuals diagnosed with CRC before the age of 50 years and consider its use for all individuals diagnosed with CRC []. MGPT is recommended because it can simultaneously identify gene variants associated with various cancers and simplifies referrals for genetic testing (GT), as neither family history nor patient tumor characteristics are required.
Genetic services heavily depend on clinicians to identify and refer high-risk patients for genetic counseling (GC) and GT. However, approximately 40% of patients with early-onset CRC are not referred for GC [,]. Additionally, racial and ethnic disparities exist in germline studies and access to genetic services [,]. A study conducted between 2009 and 2017, involving patients with early-onset CRC treated at a tertiary-care referral center and a safety-net health system, found that Black patients were less likely to attend GC compared with Hispanic and non–Hispanic White patients []. Another retrospective study, using data from 2012 to 2016 across 4 academic medical centers, found that Black and Hispanic patients with CRC were referred to genetic specialists less often than non–Hispanic White patients []. However, among those referred, no racial or ethnic differences were observed in GC attendance [], highlighting a missed opportunity for guideline-concordant genetic care. Therefore, systematic strategies are necessary to ensure GT services are offered to all patients with early-onset CRC.
With the expanding indications for genetic services, there is a shortage of genetic counselors and qualified genetic professionals [,], which can result in delays in GT. Although oncologists and other health care providers can order GT for at-risk patients, most lack the expertise or time to provide adequate genetic education [,]. Consequently, the American Society of Clinical Oncology (ASCO) acknowledges GC as the standard of care but also advocates for alternative approaches to delivering genetic services []. Studies examining the uptake of genetic services among patients with early-onset CRC have identified cost, limited availability of services, and racial and ethnic referral disparities as key barriers [,]. To address these known barriers to GT, the National Institute of Health Clinical Genome Resource’s Consent and Disclosure Recommendations Working Group suggested reserving traditional, provider-delivered pre- and posttest GC for patients with greater clinical and genetic complexity, such as those with conditions lacking well-established testing and risk management criteria []. Alternative approaches to genetic education are needed to facilitate, expedite, and expand access to GT for patients at risk of cancer without overburdening GC resources []. To address this, we developed a digital health tool designed for patients with early-onset CRC from diverse racial and ethnic backgrounds. This tool systematically delivers pretest education and triages patients to GC and GT.
Previous studies involving patients with cancer suggest that digital genetic education is well-accepted and effective in improving knowledge, decisional satisfaction, and reducing decisional conflict [-]. However, most educational interventions addressing germline testing have focused on patients with breast cancer [-]. To our knowledge, only 2 studies have evaluated alternative strategies for genetic education in patients with CRC. These studies were not specific to patients with early-onset CRC, and their educational content focused on tumor testing [] or GC []. Therefore, in this study, we propose a digital health tool designed for patients with early-onset CRC to promote autonomy by allowing them to access relevant germline information at their convenience, make informed decisions about GT, and opt-in to pretest GC if desired. This study outlines patient and provider feedback on the digital pretest genetic education tool and provides recommendations for its implementation, using a mixed methods approach.
Nest Genomics is a software company specializing in developing tools that help patients and providers scale the delivery and long-term implementation of genomic information. The Nest platform is a comprehensive, Health Insurance Portability and Accountability Act (HIPAA)–compliant solution designed to launch, implement, and scale longitudinal genomic programs, supporting both patients and clinicians throughout the care continuum—from patient identification and education to test ordering, result integration, and long-term management. Within Nest, our research team developed the Nest-CRC, a digital health tool designed to provide pretest genetic education for patients with early-onset CRC from diverse racial and ethnic groups (). Nest-CRC is not publicly available at this time. The tool is divided into 5 brief modules. The modules included in the first version of Nest-CRC are (1) hereditary CRC, (2) GT, (3) benefits and risks, (4) care recommendations, and (5) implications for family members. Nest-CRC takes approximately 10 minutes to complete. The information covered in Nest-CRC is supported by ASCO content recommendations for pretest genetic education [], standard informed consent for GT, and feedback from genetic counselors and experts on the study team. Nest-CRC delivers education through text and images and is accessible on any personal device with internet access []. It includes images that are representative of different ages and races, with written content at a 5th-grade reading level in both English and Spanish.
We conducted a nested mixed methods study to develop and refine Nest-CRC for patients with early-onset CRC. Following the learner verification approach [], we carried out 2 sequential phases of patient and provider surveys and interviews about Nest-CRC. Learner verification, which is useful for formative research, uses semistructured individual interviews to assess the appropriateness of materials for a target population. The quantitative data collected in each phase were used to describe the demographic characteristics of our sample population, their experiences with genetic services, and to obtain immediate feedback on their experience navigating each of the genetic education modules.
During phase 1, participants were emailed a link to a brief survey covering demographics, clinical characteristics, and experiences with genetic services, as well as the Nest-CRC educational modules, which included integrated questions about each module. Participants completed a semistructured interview after finishing the survey and Nest-CRC education. Patients could complete the survey and Nest-CRC on their personal device or a clinic tablet. After phase 1, we refined Nest-CRC based on participant recommendations (). The revised version of Nest-CRC was then re-evaluated in phase 2 using the same procedure as in phase 1. However, in phase 2, participants also had the option to receive the link via SMS text message. Each version of Nest-CRC was reviewed by the entire study team for final edits.
This study was reviewed and approved by the Moffitt Cancer Center’s Scientific Research Committee and Institutional Review Board (approval number 22176) on November 15, 2022. Before enrollment, all participants were provided with a copy of the informed consent form. All patients gave verbal informed consent in person or over the phone, and all providers consented to participate via email. Participants who agreed to take part in the study received a link to the survey and Nest-CRC education. The interviewer reviewed the informed consent form again with each participant before beginning the interview. All data collected for this study were deidentified using a unique ID number. Participants received US $25 upon completion of the interview.
RecruitmentFrom February to August 2023, English- and Spanish-speaking adult patients with early-onset CRC with upcoming medical appointments at the Moffitt Cancer Center Gastroenterology clinic were contacted in the clinic or by phone and invited to participate in the study. Recruitment flyers in both English and Spanish were posted in various waiting areas at Moffitt Cancer Center and distributed to community partners for sharing on their social media platforms (eg, Facebook). Interested potential participants responded to flyers and internet advertisements by calling or emailing the study team. The study team then contacted these individuals to screen them, obtain informed consent, and schedule their interview.
We purposely recruited at least 20% (n=4) Spanish-speaking and 20% (n=4) Black patients for each phase. These groups were specifically targeted because a lower proportion of Spanish-speaking and Black patients seen at the oncology clinic were eligible for the study. Gastroenterologists, oncologists, nurse practitioners, and genetic counselors with at least 2 years of experience working with patients with CRC were recruited from Moffitt Cancer Center (phases 1 and 2), MedStar Health (phase 2 only), and through referrals (phases 1 and 2). Different individuals participated in each phase.
Survey MeasuresBefore reviewing Nest-CRC, participants were asked to complete a brief survey capturing relevant sociodemographic, clinical, and epidemiologic characteristics adapted from the Health Information National Trends Survey (HINTS) 5 []. Patients were asked about their age, gender, race, ethnicity, country of birth, marital status, education level, employment status, household income, and insurance, while providers were asked about their age, gender, marital status, race, ethnicity, and professional degree. Additional information collected from patients included self-reported technology literacy (using the 3-item Digital Health Care Literacy Scale []), health literacy (using the 3-item Short Literacy Survey []), clinical details about their cancer diagnosis (including the type of CRC, cancer stage, age of diagnosis, and treatment history), family history of early-onset CRC, Ashkenazi Jewish ancestry (due to the known genetic risk for CRC and other cancers in this population), awareness of genetic services (ie, GC, GT, hereditary cancers, and Lynch syndrome), and history of genetic services (ie, referrals to genetic services, GC, and GT). We also evaluated patients’ perceived importance of GT for cancer prevention and early detection (adapted from HINTS 5) []. Providers’ self-reported practice characteristics included the frequency of communication with patients about genetic risk, referrals to GT, working with patients with early-onset CRC, and working with ethnic/racial minority patients. At the end of each module (n=5), participants were asked 2 questions: whether the information was easy to understand and whether it was helpful, using a 5-point Likert scale ranging from 1=strongly disagree to 5=strongly agree. Responses of strongly agree and agree were recoded as agreed, while neither agree nor disagree, disagree, and strongly disagree were recoded as did not agree. Upon completing Nest-CRC, participants were asked if they were interested in GT, with response options of yes, no, or unsure.
Interview ProcessInterview guides were based on key elements of learner verification. Patients and providers gave feedback on the Nest-CRC tool’s attractiveness, comprehension, self-efficacy, cultural acceptability, and usability (). The development of these questions was informed by prior studies using the learner verification approach [,,] and refined by the study team. All interviews were recorded, and audio files were transcribed verbatim. Interviews conducted in Spanish were translated into English []. JRR conducted all English and Spanish interviews via Zoom (Zoom Communications/Qumu Corporation; phase 1: mean 26.96 minutes, range 17.26-37.36 minutes; phase 2: mean 26.04 minutes, range 15.07-36.02 minutes).
Table 1. Sample questions included in the interviews.Key elementsExample of questionsAttractivenessWhat was the first thing that came to your mind when using the Nest-CRC tool?aProvider-specific questions.
Data AnalysisDescriptive statistics (mean, median, and proportions) were calculated using IBM SPSS software (version 28). All qualitative data were transcribed into English and reviewed by team members. The research team met to develop the initial codebook, using deductive codes derived from the key elements of the interview guides. The themes and codebook, along with operational definitions for each code, were subsequently refined during the intercoder reliability process. Three research team members (CG, MLM, and HF) coded the transcripts using a direct content analysis approach. Intercoder reliability was assessed until Cohen κ reached 0.80, indicating substantial agreement []. Qualitative analysts performed line-by-line coding of all interview data using NVivo 12 software (Lumivero).
We contacted a total of 40 patients with early-onset CRC and 14 providers, of whom 19 patients and 6 providers completed the survey and interview (). The most common reasons patients did not participate were a lack of interest or unsuitable timing due to their recent diagnosis and treatment. Providers generally declined participation passively.
The median age of patients was 43 (range 27-51) years ( and ), with 10 out of 19 (53%) being female, 2 (11%) identifying as Black, 6 (32%) of Hispanic ethnicity, and 4 (21%) preferring Spanish (). About half (n=10) had at least some college education, and most were employed (n=11). One-third of the patients had stage 4 cancer (n=7), and half were undergoing active treatment (n=9). Most patients reported adequate health literacy (median 4, range 1-4) and technology literacy (median 4, range 1.6-4). Before completing Nest-CRC, 18 of the 19 (95%) patients indicated that GT was very important for cancer prevention and early detection, though only 10 (53%) and 15 (79%) reported awareness of GC and GT, respectively.
The median age of providers was 39 (range 31-46) years (). Half of the providers were female, all identified as White, and 1 was Hispanic and preferred Spanish. Two-thirds were medical or surgical oncologists, and 2 were genetic counselors. All providers had at least 2 years of experience with patients with CRC (median 11 years, range 2-13) and discussed genetic risk with patients at least 50% of the time.
Table 2. Patients’ demographic characteristics by phase.DemographicPhase 1 (n=19)Phase 2 (n=20)Age (years), median (range)43 (27-51)47 (36-59)Gender, n (%)aIncludes self-employed.
Table 3. Patients’ clinical characteristics by phase.Clinical characteristicsPhase 1 (n=19)Phase 2 (n=20)Age at diagnosis (years), median (range)41.5 (26-49)44.5 (35-49)Health literacy, median (range)4 (1-4)3.7 (1-4)Technology literacy, median (range)4 (1.6-4)3.7 (2-4)Type of cancer, n (%)aTreatment included surgery, chemotherapy, radiation, and immunotherapy.
Table 4. Providers’ demographic and clinical characteristics.ProvidersPhase 1 (n=6)Phase 2 (n=7)Age (years), median (range)39 (31-46)40 (31-51)Spanish-preferring, n (%)1 (17)0 (0)Gender, n (%)We contacted a total of 51 patients with early-onset CRC and 15 providers, of whom 20 patients and 7 providers completed the survey and interview (). The most common reasons for nonparticipation were the same as in phase 1. The median age of phase 2 patients was 47 (range 36-59) years, with about half being female, 4 out of 20 (20%) identifying as Black, 7 (35%) as Hispanic, and 4 (20%) as Spanish-preferring ( and ). Most patients had at least some college education (n=18), were employed (n=13), and had health insurance (n=18). Patients also reported adequate health literacy (median 3.7, range 1-4) and technology literacy (median 3.7, range 2-4). Similar to phase 1, before completing Nest-CRC, 15 (75%) and 18 (90%) patients indicated that GT was very important for cancer prevention and early detection, respectively. However, only 9 (45%) and 17 (85%) reported awareness of GC and GT, respectively.
Nest-CRC Findings and RecommendationsNest-CRC Quantitative DataIn phase 1, 9 patients reported no history of GT, and after completing the education, 7 (78%) were interested in GT, while 2 (22%) were unsure; none of the participants reported having no interest in GT. In phase 2, 4 patients reported no history of GT, and all of them indicated interest in GT after completing Nest-CRC. Across both phases, most participants reported that each of the Nest-CRC modules was useful and easy to use (phase 1: 23/25, 92%, to 25/25, 100%; phase 2: 24/27, 89%, to 27/27, 100%; ). The average completion time for patients in phase 2 was 11 (range 5-26) minutes.
Table 5. Comprehension and usefulness of each Nest-CRC module.ModulesPhase 1, n (%)Phase 2, n (%)Participants in both phases reported finding Nest-CRC visually appealing and well-suited to its goals. The layout was described by phase 1 participants as “straightforward,” “concise,” and “clean” (). Phase 1 participants appreciated how each slide presented information in “bite-sized” amounts, making it “easy to digest and read” and helping to prevent feelings of being overwhelmed, which echoed the quantitative findings. Recommendations for improvement included enhancing the “dark mode” to increase readability and incorporating more visual elements (eg, photos, animations, and diagrams) to maintain attention and simplify complex concepts.
Table 6. Interview excerpts by study phase.ThemePhase 1Changes implemented for phase 2Phase 2Attraction/Visual Appeal“I really think it’s concise. I think you’ll lose people if you make them read through too much information even when it’s important, so I thought it was – it was a good capture of the important information.” [Participant #1219, patient]aGT: genetic testing.
bGC: genetic counseling.
The main factors most patients and providers emphasized in phase 2 were a desire to protect family members and trust in science and medical providers. Patients stated that a recommendation from a provider to review the education would influence their interest in it. The information provided in the education, along with its ease of use, was highlighted in phase 2 as the primary factor that attracted participants.
For the most part, participants did not have strong opinions about the visuals of the tool. Most described it as “clean” and “easy to navigate” and reported that the text was clear and easy to read. One participant found the aesthetic dull and “boring” and felt it needed more color. Another participant mentioned that the lack of personal interaction decreased their interest, preferring to speak with a person instead.
ComprehensionParticipants in both phases found the information easy to comprehend and described the intervention as “straightforward,” “simple,” “succinct,” “understandable for a layperson,” and “super easy to understand.”
Nearly all phase 1 patients stated that they understood GT could be used to determine genetic predisposition for their CRC and that learning whether they carry a particular gene could be helpful for family members. The most commonly cited point of confusion in phase 1 was the possibility of discrimination based on their GT results. This was surprising to many participants, with some requesting links or resources for further information. Other recommendations from phase 1 participants included adding information on the most common types of hereditary CRC syndromes (eg, Lynch syndrome, familial adenomatous polyposis), clarifying which patients are most at risk or in need of testing, distinguishing between GT and somatic/tumor testing, addressing incidental findings from GT (eg, beyond CRC, such as BRCA1), defining specific gene associations, discussing treatment options based on variants, reducing redundancies in “informed consent,” and communicating clearly to lay audiences (eg, clarifying language and providing examples). When suggested by the interviewer, patients agreed that a dictionary tool to define unfamiliar terms would be useful.
Phase 2 participants felt the intervention provided just the right amount of information: educational, yet not overwhelming for a new patient. Most phase 2 providers found the intervention easy to understand, free of jargon, and containing an appropriate level of detail.
Although participants were overall very satisfied, they suggested some additional educational topics. One of the most commonly requested topics by both patients and providers was information on what other cancer and health condition risks can be detected via GT. The general consensus was that most patients would want GT to detect different cancers if it were covered by insurance or affordable. Some participants raised privacy concerns regarding who can access their results and what can be done with their DNA and results in t
留言 (0)