Citations

Abstract Black/African American populations, globally, bear the greatest prostate cancer (CaP) burden compared to other racial/ethnic groups. Addressing CaP disparities in Black men is complex, requiring a patient-centered, community-centric and comprehensive approach. This study integrates iCCaRE Consortium findings and broader literature to address unmet needs in survivorship care. The iCCaRE Consortium implemented five complementary pilot studies using mixed-methods designs, including feasibility trials, qualitative research, and observational analyses across the United States and sub-Saharan Africa. Descriptive statistics, subgroup analyses, and qualitative thematic analyses were performed across these studies. Collectively, projects addressed multilevel determinants including social, behavioral, and biological drivers of disparities. Project 1 implemented a Virtual Reality Assistant (ViRA) across clinical and community settings, with ongoing evaluation in pragmatic trials. Project 2 showed strong patient preference for home-based cancer care. Project 3 enrolled demonstrated trends toward improved health-related quality of life. Project 4 identified key themes influencing survivorship experiences. Project 5 identified biological mechanisms linking stress, immune modulation, and symptom burden. The iCCaRE pilot projects demonstrate the feasibility and early impact of a consortium-based, transdisciplinary approach to addressing CaP disparities in Black men. These findings highlight the importance of integrating patient-centered interventions, community engagement, and biological insights to inform scalable strategies aimed at improving survivorship outcomes and advancing health equity. The iCCaRE Consortium demonstrates that a transatlantic, patient-centered, and multidisciplinary approach integrating social, clinical, and biological factors can generate scalable strategies to improve survivorship outcomes and advance equity in CaP care for Black men.

Abstract Background Breast cancer chemoprevention is underutilized among high-risk women. We examined whether decision support could increase informed decision making. Methods We conducted a cluster randomized controlled trial to evaluate the effect of a patient-facing decision aid (RealRisks) and provider tool (BNAV) compared with standard education on the number of women with high-risk breast lesions making informed choices. Questionnaires were administered at baseline and 6 and 12 months. The primary outcome was chemoprevention informed choice (defined as adequate knowledge and attitudes congruent with decision) at 6 months. Secondary endpoints included breast cancer risk perceptions, worry, chemoprevention knowledge, decision conflict, and chemoprevention decision. Results Across 31 randomized sites, we enrolled 210 providers, who were primarily breast health specialists. Of these, 24 sites (14 intervention, 10 control) enrolled 412 patients. Among 287 patients evaluable for the primary outcome, there were no statistically significant differences in informed choice between the intervention and control arms at 6 months (35% vs 27%, respectively; P = .20) and 12 months (37% vs 25%, respectively; P = .05). At 6 months, women in the intervention compared with control arm were more likely to have accurate breast cancer risk perceptions (31% vs 21%, respectively; P = .03) and adequate chemoprevention knowledge (33% vs 23%, respectively; P = .04). At 12 months, 52% of women in the control and 50% in the intervention arm self-reported initiating chemoprevention. Conclusion Decision support led to modest improvements in accurate risk perceptions and chemoprevention knowledge but not informed choice. Relatively high chemoprevention uptake was achieved among women with high-risk breast lesions managed mainly by breast health specialists. Trial Registration NCT04496739, https://clinicaltrials.gov/study/NCT04496739?cond=NCT04496739&viewType=Card&rank=1

ABSTRACT Purpose To explore the opioid decision‐making process of prescribers in primary care, surgery, and subspecialty pain management. Methods This was a multistage qualitative‐qualitative study with clinicians involved in opioid prescribing and management from a single healthcare organization with locations in Minnesota, Florida, Arizona, and Wisconsin. Clinicians in this study included physicians, nurse practitioners (NPs), and physician assistants (PAs) practicing in primary care, surgery, or pain medicine. The interview guide was organized in three domains of a conceptual model for opioid use: (1) prescriber characteristics, (2) patient characteristics, and (3) practice environment characteristics. Individual interviews ( N = 20) were performed first, and data were summarized using a rapid template‐based approach. Subsequently, focus groups (FGs) ( N = 4) were conducted with an additional 21 clinicians to confirm and explore interview results. Data from interviews and FGs were analyzed using a common codebook. Results Findings were organized as decision factors into the three domains. Factors in the prescriber domain included characteristics such as formal pain management training, as well as factors that influenced knowledge and beliefs (e.g., advice from or observation of supervising clinicians and expert colleagues). Decision factors in the patient domain included patient pain etiology, comorbid medical or mental health conditions, and demographic characteristics. Clinicians' perceptions of these factors, such as viewing older age as having lesser risk for opioid misuse, influenced prescribing decisions. Clinicians also described challenges associated with “legacy patients” whose therapy was previously managed by a different clinician. Primary care clinicians, in particular, expressed difficulties managing post‐surgical or trauma‐related pain after care transition. Relevant decision factors reported by prescribers in the practice environment domain included guidelines and practice oversight. Most participants reported practicing in an environment that promoted conservative opioid use and having access to standardized institutional guidelines that reduced perceived decision‐making burden. Clinicians described how they used prescribing guidelines to help them communicate with patients about opioid use and prescribing decisions. Conclusions Intersecting prescriber, patient, and practice environment factors shape opioid analgesic prescribing decisions. Available resources in the practice environment, including peer input and institutional guidelines, may support clinician decision‐making and conversations with patients at the point of care, including in cases where patients have complex histories or personal characteristics that influence decision making.

Abstract Background: Digital access, health literacy, and confidence in obtaining cancer information are well-known factors that influence cancer beliefs and behaviors. However, less is understood about whether these information-related factors vary across regions within a cancer center's catchment area and how they collectively relate to cancer beliefs in large community samples. This study investigated regional differences in digital access, health literacy, and confidence in seeking information, and examined the connections between these factors and cancer risk perceptions, fatalistic beliefs, prevention confusion, and willingness to participate in cancer clinical trials. Methods: Data (N=2,334) from the 2023 Mayo Clinic Comprehensive Cancer Center’s Cancer-Focused Needs Assessment, conducted across catchment areas in Arizona, Florida, and the Midwest (Minnesota, Wisconsin, Iowa). Regional differences in digital access (Internet use and device ownership), health literacy, and confidence in obtaining cancer information were analyzed using multivariable ANCOVAs and logistic regressions, adjusting for sociodemographic covariates. Follow-up models examined whether these information precursors are associated with perceived cancer risk, fatalistic beliefs, confusion about recommendations, and willingness to participate in cancer clinical trials, adjusting for the same covariates. Results: Regions showed minimal differences in digital access and health literacy. Health literacy was instead associated with ethnicity, age, gender, and education (all p<.001). Confidence in obtaining cancer information followed similar trends, with significant influences of ethnicity and gender (p<.01). Internet use was strongly associated with sociodemographic factors (all p<.01). Additionally, the information precursors consistently correlated with cancer beliefs across the full sample: Higher health literacy and greater confidence in obtaining cancer information were associated with increased perceived cancer risk, reduced cancer fatalism, and less confusion regarding prevention guidelines (ps < .001). Internet use and device access were significantly related to a greater willingness to participate in clinical trials (ps < .01). These relationships persisted even after controlling for sociodemographic covariates. Conclusions: Regional differences in digital access and health literacy were minimal, indicating a consistent information environment. Within this context, individual sociodemographic and information-related factors played a larger role, strongly shaping cancer beliefs. These findings underscore technology access and information empowerment as key targets for enhancing cancer prevention knowledge and research engagement, and indicate that the effects of information empowerment are primarily driven at the individual rather than the geographic level. Citation Format: Tingyu Zou, Monica L. Albertie, Emelina Asto-Flores, Manisha Salinas, Farhia Omar, Adeline Abbenyi, Noreen Stephenson, Nuwanthi Heendeniya, James R. Cerhan, Kathleen J. Yost, Folakemi T. Odedina. Digital access, health literacy, and cancer beliefs: Findings from a multi-region community survey [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7553.

Abstract Introduction: Attending to survivorship including distress in the contexts of social drivers (SDH) is critical but lacking. In response, this novel research on Black CaP survivors (CaPS) aims to measure SDH distresses and assess utility of a digital intervention to inform survivorship studies, practice and outcomes. Method: Informed by the Science of Survivorship, and our pilot study with multisectoral stakeholders, we assessed SDH and acceptability/utility of a digital Survivorship Care (SC) Toolkit. SCToolkit is a digitized whole-person care with guidance from multisectoral stakeholders e.g., clinicians and survivors. SCToolkit includes: ASCO informed treatment summary template for diagnostics, treatments, side effects, care team, genetics, and comorbidities, and patient active guide on survivorship concerns, provider communication, health advisories, survivorship care booklet, SDH FINDHELP resource, and survivorship videos. SCToolkit was delivered via survivors’ personal REDCap file, and can be uploaded to their EMR patient portal for easy-to-use survivorship roadmap accessible on smartphones, laptops, and computers. Motivational Interviewing was provided via Zoom to facilitate digital efficacy and SCToolkit use. Descriptive analyses were conducted using SAS. Citation Format: Kimlin Ashing, Floyd Willis, Christopher Williams, John McCall, Gaole Song, Douglas Adu-Fokuo, Erika Galdamez, Fornati Bedell, Cassandra N. Moore, EWAN COBRAN, Che Ngufor, Kathleen J. Yost, Timethia J. Bonner, Getachew Dagne, Arnold Merriweather, Ernest T. Kaninjing, Rotimi Oladapo, Roxana S. Dronca, Folakemi T. Odedina. Examining contextual distress and utility of a digital survivorship care toolkit [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 880.

Background Area‐based deprivation indices have been linked to hypertension and diabetes outcomes, but limited information exists about their relative performance. We compared 2 area‐based deprivation measures (Area Deprivation Index and Yost Index) as risk factors for hypertension and diabetes control. Methods This cohort study identified adults with hypertension or diabetes in a 19‐county region of Southeast Minnesota covered by the Rochester Epidemiology Project. The deprivation indices were operationalized as quintiles for state and national ranks. We assessed agreement using the weighted kappa statistic. We used modified Poisson regression to evaluate associations of the deprivation indices with blood pressure or diabetes control in 2022. We compared relative model fit using the area under the receiver operating characteristic curve. Results We identified 67 386 individuals with hypertension and 30 435 with diabetes. There was moderate to substantial agreement between indices, but the agreement was higher for the state rank (weighted kappa 0.68 for both cohorts) than the national rank (0.54 for both). Although the indices were not associated with hypertension control, greater deprivation was associated with worse diabetes control for the Yost Index (relative risk [RR], 1.21 [95% CI, 1.07–1.38]) and Area Deprivation Index (RR, 1.39 [95% CI, 1.12–1.73]) national ranks. The full‐model area under the receiver operating characteristic curve was similar across indices but differed across cohorts with worse fit for hypertension (0.53 for both) than diabetes (0.63 for both). Conclusions Two common area‐based deprivation indices had similar strength of association with diabetes control, suggesting that either index would be appropriate for researching and developing interventions for diabetes control.

OBJECTIVE The minimal important difference (MID) and minimal important change (MIC) are two metrics that bridge the gap between statistical significance and clinical relevance and are critical to managing clinical decisions and conducting clinical research. The objective of this study was to define MIDs to evaluate cross-sectional differences among groups and to define MICs to evaluate longitudinal within-patient changes for the Mayo Clinic Vestibular Schwannoma Quality of Life (VSQOL) Index. METHODS Anchor-based methods were used to define MIDs and MICs for the VSQOL Index domain scores, which range from 0 to 100 points, for a national cohort of 1050 patients with sporadic vestibular schwannoma, 644 of whom completed the VSQOL Index twice approximately 1 year apart. RESULTS The median of the MID estimates for the VSQOL Index domains were: hearing problems (17, IQR 12.5–21); dizziness and imbalance (21, IQR 18–23); pain, discomfort, and tinnitus (19.5, IQR 15–23.5); problems with face or eyes (18, IQR 17–28); impact on physical, emotional, and social well-being (19.5, IQR 14.5–23.5); difficulty with thinking and memory (23.5, IQR 18.5–28.5); global quality of life (12, IQR 8–16); and satisfaction or regret (13.5, IQR 7–17). MIC estimates for the hearing problems and satisfaction and regret domains were not obtained because the correlations between these domain scores and their associated anchors were not sufficiently strong. The MIC estimates (minimum and maximum) for the remaining domains were: dizziness and imbalance (7.2 and 8.3); pain, discomfort, and tinnitus (8.3 and 8.5); problems with face or eyes (7.0 and 7.4); impact on physical, emotional, and social well-being (2.1 and 8.0); and difficulty with thinking and memory (12.9 and 15.0). The median of the MIC estimates for global quality of life was 5.2 (IQR 3.7–5.6). CONCLUSIONS The MIDs and MICs reported herein provide a framework to interpret quality-of-life benefit or harm cross-sectionally among groups and longitudinally within patients. Moving forward, these values should be considered when interpreting studies using the VSQOL Index to assess disease-specific quality of life in patients with sporadic vestibular schwannoma.

Abstract Background: Rural/nonmetropolitan (nonmetro) counties face known barriers to comprehensive cancer care compared with metropolitan (metro) counties, which may impact the outcomes for lymphoma patients. We evaluated the impact metro vs nonmetro status on outcomes after a diagnosis of non-Hodgkin lymphoma (NHL) in the context of clinical, demographic, and lifestyle factors. Methods: Of 7724 participants enrolled in the prospective LEO cohort study from 2015-2020, 7610 (98.5%) had their county of residence at diagnosis assigned a RUCC (2013) code. We compared outcomes of participants from metro (defined as RUCC 1-3, which are central counties with ≥1 urban areas of ≥50,000) vs nonmetro counties (RUCC 4-9, which are counties with smaller urban areas as well as completely rural). We estimated hazard ratios (HRs) and 95% confidence intervals (CI) from univariable and multivariable Cox models for associations of metro status with overall survival (OS). Cause of death (lymphoma [including treatment related], non-lymphoma, unknown) was assessed using a competing risk approach. Results: Compared with metro counties (N=6096), LEO participants from nonmetro counties (N=1514) were older (median age 64 vs 62 years; p<0.001), more likely to be non-Hispanic white (94% vs 75%; p<0.001) and married (84% vs 75%; p<0.001), and less likely to have completed graduate or professional school education (16% vs 27%; p<0.001). There were no notable differences (>5%) by metro status for sex, employment status, NHL subtype, stage, performance status, abnormal lactate dehydrogenase (LDH), international prognostic index (IPI), number of comorbidities, time from diagnosis to treatment interval (DTI) or participation in a clinical trial. Compared with LEO participants from metro counties, those from nonmetro counties had inferior OS at 5 years (74.5% vs 78.4%; HR=1.23, CI 1.10-1.37; p<0.001). The OS association only slightly attenuated after adjustment for age, sex, race/ethnicity and NHL subtype (HR=1.20, CI 1.07-1.34; p=0.002), and held in models that adjusted for clinical prognostic factors (stage, NHL subtype, IPI, DTI), socioeconomic status (SES; education, marital status), health status (comorbidity, frailty), or lifestyle factors (smoking, body mass index). Using a competing risk model, the cumulative incidence of death at 5 years due to lymphoma (16.9% vs 14.1%; p=0.002) and non-lymphoma (5.9% vs 3.9%; p=0.002) was higher for participants from nonmetro vs metro counties, respectively. For participants <65 years, nonmetro vs metro status had inferior OS (HR=1.40, CI 1.17-1.67; p<0.001). This association remained after adjustment for age, sex, race/ethnicity and NHL subtype (HR=1.36, CI 1.14-1.63; p<0.001), as well as after adjustment for clinical prognostic, SES, health status, or lifestyle factors. The cumulative incidence of death at 5 years due to lymphoma was higher in participants from nonmetro vs metro counties (15.1% vs 11.5%; p=0.002), while there was no difference by metro status for non-lymphoma related deaths (2.1% vs 1.7%; p=0.47). In contrast, for participants age 65+ years, there was no differences by metro status for OS (HR=1.04, CI 0.91-1.20; p=0.56). After adjustment for age, sex, race/ethnicity and NHL subtype, participants from nonmetro areas had inferior OS (HR=1.12, 0.97-1.29) although this was not statistically significant (p=0.13), and was attenuated in models adjusting for clinical, health status, or lifestyle factors. The cumulative incidence of death at 5 years due to lymphoma was no different in participants from nonmetro vs metro counties (18.9% vs 18.0%; p=0.37), while non-lymphoma related deaths were higher in nonmetro counties (9.9% vs 6.8%; p=0.017). Conclusion: LEO participants from nonmetro vs metro counties had inferior OS overall, although this was predominately observed for younger (<65 years) participants. These associations did not appear to be explained by demographic, NHL subtype, clinical, SES, health status, or lifestyle factors. Of particular note, the risk of death due to lymphoma was higher in nonmetro areas for participants <65 years but not those 65+ years, while the risk of death due to other causes was higher in nonmetro areas for participants 65+ years but not those <65 years. These findings require further study, particularly related to barriers to care, and suggest the potential need for age-specific strategies to optimize outcomes for NHL patients from nonmetro/rural areas.

Abstract Introduction. Understanding the unique social and environmental contexts of communities is essential for designing effective, locally tailored cancer intervention strategies. This study aimed to identify key findings from a comprehensive, multifaceted, cancer-focused needs assessment conducted across three U.S. regions, offering insights into the social, behavioral, and structural barriers that hinder cancer prevention and control, and informing regionally tailored interventions. Methods. This study focused on adult residents within the Mayo Clinic Comprehensive Cancer Center catchment areas, covering 75 counties across Arizona, Florida, and the Midwest (Minnesota, Wisconsin, and Iowa). Data was collected through collaborations with the University of Florida and Mayo Clinic Survey Research Centers, and the “Boots on the Ground" approach involving community health workers. Methods included phone calls, online submissions, and community outreach for an anonymous survey. Validated measures assessed healthcare access, lifestyle, social networks, neighborhood conditions, and discrimination. Descriptive analyses were conducted using valid responses. Non-responses and selections of “Prefer not to answer” were excluded from percentage calculations to ensure interpretive accuracy. Results. Involving 2,681 respondents, the data reveal consistent yet regionally nuanced barriers to cancer prevention. Health insurance coverage was relatively high across all regions—77.6% in Arizona, 85.5% in Florida, and 89.2% in the Midwest. Despite this, access to care remained limited. In Arizona, 22% of respondents could not afford to see a regular doctor, and 41.3% reported delays due to work or transportation. In Florida, 26.6% reported financial barriers to primary care, and nearly half (49.7%) experienced delays in receiving care. The Midwest showed fewer neighborhood safety concerns but still faced high rates of care delays (46.7%) and housing-related issues (42.6%). Neighborhood-level challenges were common. Housing-related problems were reported by 42.9% of respondents in Arizona, 54% in Florida, and 42.6% in the Midwest. Concerns about drug use were highest in Arizona (40%) but present across all regions. Health behavior risks were also widespread: 72–79% of respondents reported sleep difficulties, and many reported low physical activity, suboptimal sun protection, and routine alcohol use. Psychosocial stressors were prominent, with 51–65% of respondents reporting experiences of disrespect and 42–66% feeling unheard by healthcare providers. Conclusions. Despite relatively high rates of insurance coverage, communities across all regions face persistent challenges in accessing timely, affordable, and respectful healthcare. Coupled with neighborhood instability, adverse health behaviors, and psychosocial stressors, these barriers highlight the urgent need for regionally tailored strategies that strengthen both cancer prevention and care. Addressing these interconnected challenges at the community level is essential for promoting more equitable cancer outcomes. Citation Format: Tingyu Zou, Monica L. Albertie, Emelina Asto-Flores, Manisha Salinas, Farhia Omar, Adeline Abbenyi, Noreen Stephenson-Hubert, Nuwanthi Heendeniya, Kathleen Yost, Folakemi T. Odedina. Place, people, and prevention: Contextual drivers of cancer health equity in three US Regions [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr B031.

Abstract Introduction: Understanding how communities access and engage with health information is essential for effective health communication. Health literacy—the ability to read, understand, and use healthcare information—plays a crucial role in making informed health decisions. With the rise of digital technologies, internet access and online engagement have become key tools for obtaining health information. However, variations in health literacy and digital engagement can limit some populations' ability to fully access these resources. This study examined health literacy, cancer information-seeking behaviors, internet access, and digital engagement among adults in the Mayo Clinic Comprehensive Cancer Center catchment areas to inform more effective and region-specific health communication strategies. Methods: This study focused on adult residents within the Mayo Clinic Comprehensive Cancer Center catchment areas, covering 75 counties across Arizona, Florida, and the Midwest (Minnesota, Wisconsin, and Iowa). Data were collected through partnerships with the University of Florida and Mayo Clinic Survey Research Centers, and the "Boots on the Ground" approach involving community health workers. Methods included phone calls, online submissions, and community outreach for an anonymous survey. Validated measures assessed health literacy, information access, and digital engagement. Descriptive analyses were performed using valid responses, excluding non-responses and "Prefer not to answer" options to ensure interpretive accuracy. Results: Data from 2,681 respondents highlighted consistent barriers to cancer prevention with regional differences. In Arizona, 42.6% of respondents need help reading medical materials, but only 3.1% reported lacking confidence in obtaining cancer-related information. In contrast, 63.1% felt very or completely confident in accessing cancer advice. The primary sources of health information were doctors (17.6%), internet searches (11.4%), and family (9.8%). In Florida, 38.4% need assistance, but only 2.7% lack confidence, and 68.2% feel very or completely confident. Doctors (18%) and internet searches (13.1%) were top sources. In the Midwest, 38.5% struggle with medical documents, and 3.1% reported lacking confidence, while 66.4% felt very or completely confident. Internet access is widespread across all regions, with smartphones being the dominant device. Daily internet use for communication, browsing, and engagement with health apps and social networks remains high. Conclusion: Although many respondents face challenges with reading health-related materials, most report high confidence in obtaining cancer information, suggesting a gap between functional health literacy and perceived ability to access information. The widespread use of mobile devices and near-universal internet access offers a valuable opportunity to enhance health communication through digital tools. These findings emphasize the importance of tailored digital outreach to bridge literacy gaps and ensure underserved populations can access reliable health information. Citation Format: Tingyu Zou, Monica L. Albertie, Emelina Asto-Flores, Manisha Salinas, Farhia Omar, Adeline Abbenyi, Noreen Stephenson-Hubert, Nuwanthi Heendeniya, Kathleen Yost, Folakemi T. Odedina. Health literacy and digital engagement across US Regions: Insights from the mayo clinic catchment areas [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr B030.