Citations

ABSTRACT Purpose This study assesses the association between colorectal cancer (CRC) screening and a validated, housing-based measure of individual-level socioeconomic status (SES, called HOUSES hereafter) within rural communities and determines whether HOUSES-integrated geospatial analysis can be used to tailor interventions. Methods We used CRC screening data from a subset of Mayo Clinic Midwest patients living in cities without ready access to routine care in the Mayo Clinic Health System in 2019 to represent rural communities. At the individual level, we assessed the association between CRC screening rates and the HOUSES index, adjusting for age, sex, race/ethnicity, comorbidity, distance from home address to clinic, and area deprivation index, using a multilevel mixed-effects logistic regression model. Additionally, we conducted geospatial analysis to examine the correlation between hotspots of 1) lower CRC screening rates and 2) lower SES of the subject population (HOUSES quartile 1). Findings Among 34,489 individuals (median age 64.0 years, 52.4% female), those with the lowest SES (HOUSES Q1) had 37% lower odds of being CRC screening adherent than those with the highest SES (HOUSES Q4) (adj. OR [95% CI]: 0.63 [0.58-0.69]). In the 14 identified HOUSES Q1 hotspots, there was a significant correlation in counts of HOUSES Q1 and low CRC screening (correlation coefficient=0.81). Conclusion Lower SES was significantly associated with lower CRC screening among rural populations. HOUSES-enabled geospatial analysis identified geographic hotspots with lower CRC screening rates for targeted interventions to address disparities in CRC screening in rural communities. HOUSES may be a useful digital tool for cancer preventive care and research.

Abstract Rural and low-socioeconomic status women face social determinants of health barriers leading to disproportionately low rates of breast cancer screening and markedly reduced participation in clinical trials. To address this gap, we developed the WeCARE (Women’s Engagement for Cancer Awareness, Resources, and Education) intervention using a community-engaged approach. This paper describes how Community Advisory Board feedback informed the development of Mayo Clinic Health System’s WeCARE intervention components. Their input was systematically analyzed using the Consolidated Framework for Implementation Research (CFIR 2.0) to identify determinants of acceptability, appropriateness, and feasibility and to guide actionable refinements to intervention content and delivery.

Introduction Women residing in rural areas or belonging to lower socioeconomic status (SES) strata experience disproportionately low rates of breast cancer screening, contributing to delayed diagnoses and poorer prognoses. In addition, their participation in clinical trials remains markedly limited, reducing opportunities to access preventive and screening interventions. Promoting research preparedness among women before disease onset may empower them to make informed decisions regarding their health and willingness to participate in clinical research with fewer emotional and logistical barriers. Methods and analysis This project applies a community-based participatory research approach to develop and refine the WeCARE (Women’s Engagement for Cancer Awareness, Resources and Education) intervention for women aged 50–74 years who have either never undergone breast cancer screening or have not received screening in the past 5 years and who reside in rural areas or belong to low SES groups. The intervention consists of two components. Component 1 is a single-day, in-person community forum that includes (a) an educational seminar led by an oncologist to address breast cancer risk and screening guidelines, (b) survivor storytelling to enhance emotional engagement and cultural resonance and (c) facilitated navigation to breast cancer screening and future research participation. Component 2 involves structured post-forum follow-up through multiple touchpoints (phone calls and mailed boosters) to reinforce knowledge, address barriers and support screening completion and research enrolment. Quantitative data (eg, screening completion, satisfaction and follow-up engagement) will be summarised using descriptive statistics to assess feasibility and reach on 50 participants. Qualitative feedback from participants will undergo thematic analysis to identify barriers, facilitators and perceived cultural relevance. Integrated mixed-method interpretation will inform iterative refinement of the WeCARE intervention and guide design of subsequent larger trials. Ethics and dissemination Approved by the Mayo Clinic Institutional Review Board (IRB #25–008934). All participants will provide informed consent. Procedures ensure confidentiality, cultural sensitivity and participant safety. Data will be stored in REDCap and disseminated through publications, conferences, local town halls and community reports.

Abstract Introduction: The National Cancer Institute estimated almost 317,000 new breast cancer and over 13,000 new cervical cancer cases in 2025. While the National Breast and Cervical Cancer Early Detection Program has served millions of women over the past two decades, inequities in cancer screening, subsequently delayed diagnosis, and timely and appropriate treatment remain a public health challenge in the United States. Despite the substantial impact of social determinants of health (SDOH) on cancer screening, few studies have accounted for SDOH at the individual level when assessing breast and cervical cancer screening adherence. The primary objective of this study is to examine whether the individual-level SDOH, measured using HOUsing-based SocioEconomic Status (HOUSES) index, is associated with breast and cervical cancer screening non-adherence (not current on respective USPSTF recommendations for age and frequency). Methods: In this retrospective study, patients were identified as those receiving primary care in the Mayo Clinic Health System and Mayo Clinic (Rochester, MN). The Midwest Quality Metrics panel was then used to assess patients due for screening for breast or cervical cancer in July 2023. The HOUSES, using home address and publicly available data on the residence which measures and categorizes housing status into quartiles, was obtained using the electronic health records (EHRs)-linkable patient-level information. Logistic regression analyses were conducted, controlling for Census block group-level adverse social exposome from the Area Deprivation Index, age, and comorbidities. Results are presented as odds ratios (OR) with corresponding 95% confidence intervals (CI). Results: For breast cancer, among 128,462 eligible patients, 20.1% (n= 25,857) were non-adherent. Compared to the highest HOUSES quartile (Q4), lower HOUSES groups showed significantly higher odds of non-adherence: Q3 OR=1.20 (95% CI=1.15, 1.25), Q2 OR=1.45; (95% CI=1.40, 1.53), and Q1 OR=1.90 (95% CI=1.81, 1.99). For cervical cancer, among 175,712 eligible patients, 29.9% (n=52,533) were non-adherent. Compared to the highest HOUSES quartile (Q4), lower HOUSES groups showed significantly higher odds of non-adherence: Q3 OR=1.07 (95% CI=1.03, 1.10), Q2 OR=1.16; (95% CI=1.12, 1.20), and Q1 OR=1.36 (95% CI=1.31, 1.41). Conclusions: A clinically meaningful association between the HOUSES index and cancer screening adherence was observed. A lower HOUSES index was associated with higher odds of non-adherence for both breast and cervical cancer screening, even after accounting for neighborhood-level risk, age, and comorbidities. Incorporating HOUSES into EHRs can be a practical “screening-for-screening” tool that enables close monitoring of higher-risk patients without additional burden of surveys. Citation Format: Eunice Y. Park, Madison Beenken, Dave Watson, Chung Il Wi, Tufia Haddad, Gladys Asiedu, Karla BALLMAN, James R. Cerhan, Carolyn Flock, Brian Lynch, Folakemi T. Odedina, Scott H. Okuno, Young J Juhn, . HOUSES as a screening tool for cancer screening: Patient-level housing-based socioeconomic status and breast and cervical cancer screening adherence [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 7599.

Introduction Psychiatric disorders have their genesis in early life. Standard screening approaches during well child visits for pathological infant distress, maternal depression, and dysfunctional parenting behaviors are likely inadequate. Microbiome measures and infant vocalizations have promise as scalable psychiatric biomarkers for infants. The purpose of this study was to examine associations among infant gut colonization based on microbiome measurements with maternal distress and maternal depressive symptoms in a sample of infants. Methods This study sought to examine infant microbiome correlates of infant distress, parent-infant interactions, maternal distress, and maternal depressive symptoms. We collected ( N = 31) microbiome samples, infant vocalizations during vaccination, and behavioral measures during a 4 month well child visit (WCV) and did a battery of clinical assessments to assess for maternal depression, parent-child interactions, family characteristics and family stress. Whole-genome SHOTGUN sequencing was utilized to identify three types of associations: alpha-diversity using Shannon and Inverse-Simpson indexes, beta-diversity using Bray-Curtis and Jaccard distances, and differential abundance using LinDA. Spectral measures of infant cries were also modeled to assess potential relationships with clinical assessments and the microbiome. Results There were 19 phyla, 417 genera, and 1246 species identified with taxonomic classification. Maternal distress as measured by PHQ-9 scores obtained when infants were 2 months old were associated with 4 bacterial species ( Actinomyces johnsonii, Bilophila wadsworthia, Clostridium dakarense and Ruminococcus flavefaciens ; FDR < 0.1) and beta-diversity ( p = 0.006-BC; p = 0.005-Jaccard). Infant cries with greater high frequency band power ( p < 0.03) and a greater high-to-mid frequency ratio–metrics ( p < 0.05) were associated with altered α-diversity of the microbiome. No correlations were present between maternal PHQ-9 at 4 months, PSI-IV and microbiome diversity. Conclusion The present findings suggest that an infant stress (assessed by quality of crying) is associated with lower microbiome diversity. Decreased diversity reflects an unhealthy microbiome. Parental depressive symptoms may also influence infant microbiome. Future interventional studies focused on the quality of the infant-caregiver relationship should examine related changes in intestinal microbiota.

Introduction/Objectives: Social determinants of health (SDOH) have the potential to differentially impact child developmental outcomes. This study examined whether scores on the Environmental Screening Questionnaire (ESQ), a newly developed SDOH screening tool, were associated with scores on the Brigance and Ages & Stages Questionnaires-Social-Emotional (ASQ:SE-2) child development assessments. Methods: Brigance, ASQ:SE-2, and ESQ scores from children enrolled in a Head Start Program in Northeast Iowa were collected during the 2021 to 2022 and 2022 to 2023 school years. Associations between scores in each ESQ domain and Brigance and ASQ:SE-2 scores were assessed. Results: Education-Employment and Community concerns on the ESQ were associated with reduced Brigance scores ( r = −.21, P < .001; r = −.17, P = .001). Concerns related to Housing, Child and Family Health, and Community were associated with more concerning ASQ:SE-2 scores ( r = .14, P = .005; r = .18, P < .001; r = 0.27, P < .001). In multivariable models controlling for sex and ethnicity, Education-Employment concerns were significant predictors of lower Brigance scores, while Child and Family Health and Community concerns were significant predictors of ASQ:SE-2 scores. Conclusions: ESQ scores in certain SDOH domains correlate significantly with child developmental outcomes. The ESQ domains of Child and Family Health and Community appear to be particularly important for appropriate child socio-emotional development. Interventions should focus on addressing critical SDOH domains to promote child resilience and counteract the non-medical factors that can interfere with child developmental outcomes.

Introduction/Objectives: We aimed to investigate the effect of family structure on depression program outcomes for adolescents enrolled in a depression-focused, primary care-based collaborative care program. Methods: This was a retrospective study of primary care patients ages 12 to 18 years seen at a Midwestern academic center with data obtained by medical record review. We used logistic regression models to assess the effect of family structure on program graduation and achievement of a single Patient Health Questionnaire 9–Modified for Adolescents (PHQ-9M) score <5 at any time while enrolled. Results: Adolescents were divided into 2 groups, Both Parents in Household (n = 179) and Parents Not Together (n = 161). The Both Parents in Household group had higher rates of graduation (38.0% vs 23.6%, P = .005) and achieving single PHQ-9M scores <5 (64.1% vs 46.2%, P = .002) than the Parents Not Together group. Discussion: Youth residing with both parents had higher rates of successful outcomes in a depression-focused collaborative care program.

Introduction/Objectives: Elevated blood lead levels can cause impaired cognition and behavioral problems in children. Screening is important for identifying children with elevated blood lead levels, but many children who qualify for screening do not get tested. We aimed to see if the addition of prompts in the electronic health record (EHR) would lead to differences in blood lead tests ordered for children with government insurance. Methods: In May 2018, a prompt was added to our institutional EHR that reminded primary care practitioners to recommend lead testing for patients with government insurance. For this retrospective observational pre-post comparative study, we reviewed the rate of blood lead test orders and completed collection before and after the prompt was introduced. Results: The number of blood lead tests ordered did not increase after prompts were introduced in the EHR; rather, the lead screening rates at 12-month well-child visits decreased from 63.6% to 53.8% ( P = .008). The 24-month visit data did not change significantly for the number of lead tests ordered before and after the prompt was introduced in the EHR. The number of lead tests completed showed a significant decrease after the prompt was introduced for the 12-month visit ( P < .001) but no significant change for the 24-month visit ( P = .70). Conclusions: This study showed that the addition of prompts in the EHR was not associated with an increase in the number of blood lead level tests ordered. Further research is needed to determine factors that could affect lead screening rates.

Abstract Interventions for adolescent weight management that are ready to use in clinical settings are needed to address the obesity epidemic and improve the health and wellbeing of affected adolescents. This report describes the systematic process our team followed to adapt an evidence-based intervention (EBI) for adolescent weight management from its randomized control trial protocol to a package for delivery in a group-based telehealth format within a medical center. The EBI adaptation was clinician initiated, prompted by identified practice needs, and involved collaboration of the clinical team with the EBI developer. The process was guided by the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework and followed key steps for adapting EBIs to new contexts. RE-AIM-aligned adaptations included telehealth delivery and broader inclusion criteria, separate clinical and research evaluation batteries, adaptations to fit the clinical practice, practical fidelity checklists to guide and record session delivery, and continuous quality improvement processes aimed to facilitate program longevity and family engagement. The process culminated in a package of adapted intervention materials deemed by stakeholders as appropriate to the practice and congruent with the EBI model. This report provides a much-needed practical demonstration of the translation of an EBI for adolescent weight management from research protocol to group telehealth delivery in a medical center. Key lessons include the value of clinician-researcher collaboration, the breadth of resources needed to adapt EBIs for real-world delivery, and the importance of considering delivery context in implementation and evaluation decisions, including defining inclusion criteria, staffing, and outcomes assessments.