Misty Gravelin, Jeanne Wright, Adrian Weyhing, Vikas Kotagal
{"title":"Neighborhood characteristics of expanded access patients at an academic referral center.","authors":"Misty Gravelin, Jeanne Wright, Adrian Weyhing, Vikas Kotagal","doi":"10.1017/cts.2025.10115","DOIUrl":"10.1017/cts.2025.10115","url":null,"abstract":"<p><p>Expanded access (EA) is a United States regulatory approach for the use of investigational drugs/devices that do not yet have conventional approval, in clinical care contexts. We conducted a retrospective study to analyze the neighborhood characteristics of patients who have received EA treatments at our academic medical center between 2018 and 2023. EA patient neighborhoods showed lower median family income, lower proportion of bachelor's degree graduates, and a higher proportion of people identifying as non-Hispanic White ethnicity compared to the surrounding (Washtenaw) county. These differences may underly differential interest in EA treatments or may point to disparities in access to evidence-based care.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e173"},"PeriodicalIF":2.0,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444704/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145113248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephen P Colegate, Michael Seid, David Hartley, Aaron Flicker, Joseph Bruce, Joseph Michael, Mfonobong Udoko, Andrew F Beck, Cole Brokamp
{"title":"Formulating and evaluating time series algorithms to forecast daily asthma hospital admissions.","authors":"Stephen P Colegate, Michael Seid, David Hartley, Aaron Flicker, Joseph Bruce, Joseph Michael, Mfonobong Udoko, Andrew F Beck, Cole Brokamp","doi":"10.1017/cts.2025.10111","DOIUrl":"10.1017/cts.2025.10111","url":null,"abstract":"<p><strong>Introduction: </strong>Asthma exacerbations are frequent causes of pediatric hospital admissions. We sought to develop a time series algorithm to forecast next-day daily asthma hospitalizations.</p><p><strong>Methods: </strong>Daily hospitalizations for asthma were collected at Cincinnati Children's from January 1, 2016, to December 31, 2023. We evaluated Autoregressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS), Prophet, and Ensemble models to forecast next-day asthma hospitalizations validated on 2023 data, considering varying historical training data lengths. Forecasts were calibrated to identify days exceeding a 5% high-risk threshold of historical totals and considered multiple validation years and years before and during the COVID-19 pandemic.</p><p><strong>Results: </strong>A total of 5,593 hospital admissions were recorded for asthma. Over 2,922 days, 166 days met the 5% high-risk threshold equating to 6 or more admissions. The Ensemble (Median Absolute Percentage Error (MAPE): 46.7%; Positive Predictive Value (PPV): 0.278; Negative Predictive Value (NPV): 0.942; Area Under the ROC Curve (AUC): 0.740; Sensitivity: 0.800; Specificity: 0.656) model achieved higher accuracy of high-risk days than ARIMA (MAPE: 46.5%; PPV: 0.278; NPV: 0.942; AUC: 0.709; Sensitivity: 0.760; Specificity: 0.571), ETS (MAPE: 47.2%; PPV: 0.222; NPV: 0.939; AUC: 0.711; Sensitivity: 0.800; Specificity: 0.668), and Prophet (MAPE: 48.9%; PPV: 0.444; NPV: 0.951; AUC: 0.732; Sensitivity: 0.680; Specificity: 0.741) models.</p><p><strong>Conclusions: </strong>Our Ensemble model of mean predictions from ARIMA, ETS, and Prophet models was the most accurate in forecasting future asthma hospitalizations. Integrating forecasting techniques with clinical operations could enable proactive prevention through enhanced population care management.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e185"},"PeriodicalIF":2.0,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145112904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Denise A Kent, Michelle Villegas-Downs, Amanda Wilson, Jerry Krishnan, Lynn Gerald
{"title":"Navigating the challenges of NT-proBNP result disclosure in clinical research.","authors":"Denise A Kent, Michelle Villegas-Downs, Amanda Wilson, Jerry Krishnan, Lynn Gerald","doi":"10.1017/cts.2025.10114","DOIUrl":"10.1017/cts.2025.10114","url":null,"abstract":"<p><strong>Background: </strong>The Office of Human Research Protections and the National Academy of Sciences, Engineering, and Medicine (NASEM) recommend the return of individual research results (IRRs) to study participants as a strategy to build public trust in science. However, the feasibility of sharing IRRs is unclear. Within a National Institutes of Health (NIH) funded parent study about Long COVID, we embedded the My ILLInet RECOVER Return of Results study to explore clinician-level considerations (e.g., validity, actionability, recommendations for follow-up) about returning a clinically used biomarker for heart failure (N-terminal pro-B-type natriuretic peptide, (NT-proBNP) collected as part of the NIH RECOVER study protocol.</p><p><strong>Approach: </strong>Clinicians participated in a three-phase modified Delphi process that sought their input to guide appropriate follow up recommendations the research team should provide to research participants with an abnormal NT-proBNP.</p><p><strong>Results: </strong>Clinicians agreed that NT-proBNP results could be returned to study participants. However, consensus was not reached on specific NT-proBNP thresholds that warrant immediate medical attention versus general follow-up.</p><p><strong>Discussion: </strong>Lack of clinical context presents a challenge in returning IRRs. Clinicians expressed concerns about the potential harm caused by misinformation or misinterpretation of these findings. While the NASEM report offers guidance on communicating IRRs, careful consideration is essential to ensure that clinical uncertainty is conveyed clearly, minimizing the risk of misinterpretation.</p><p><strong>Conclusion: </strong>The feasibility of returning IRRs to study participants depends, in part, on sufficient clinical context for the information to be actionable.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e176"},"PeriodicalIF":2.0,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145113303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kari G Vance, Jonah Pedelty, Barbara J Van Gorp, Carol G T Vance, Elizabeth M Johnson, Fangfang Jiang, David-Erick Lafontant, Maxine Koepp, Andrew A Post, Emine Bayman, Ruth L Chimenti, Dana L Dailey, Leslie J Crofford, Heather Reisinger, Kathleen A Sluka
{"title":"Community engagement strategies improve recruitment and enrollment in a pragmatic clinical trial.","authors":"Kari G Vance, Jonah Pedelty, Barbara J Van Gorp, Carol G T Vance, Elizabeth M Johnson, Fangfang Jiang, David-Erick Lafontant, Maxine Koepp, Andrew A Post, Emine Bayman, Ruth L Chimenti, Dana L Dailey, Leslie J Crofford, Heather Reisinger, Kathleen A Sluka","doi":"10.1017/cts.2025.10103","DOIUrl":"10.1017/cts.2025.10103","url":null,"abstract":"<p><strong>Introduction: </strong>Rural communities make up 19% of the US population, yet are underrepresented in clinical trials. Community engagement methods can facilitate collaboration and trust with local healthcare personnel to enhance enrollment. The purpose of this manuscript is to describe community engagement methods and their impact on enrollment in a pragmatic clinical trial.</p><p><strong>Methods: </strong>We describe a variety of methods used in the Fibromyalgia TENS in Physical Therapy Study (FM-TIPS) to enhance enrollment in rural communities and low-enrolling clinics. Community engagement methods were implemented partway through the trial for selected groups: Targeted Rural (TR) (<i>n</i> = 10), Targeted Low Enrolling (TLE) (<i>n</i> = 6), and compared to Untargeted Groups (UT) (<i>n</i> = 13). The impact of these methods on inquiries, screening, and enrollment were evaluated by comparing actual enrollment to projected enrollment.</p><p><strong>Results: </strong>We trained and employed community engagement coordinators to implement strategies in TR and TLE physical therapy clinics. These included, posting flyers, community events, physician outreach, social media ads, and direct mailing. These methods increased study inquiries, screening and enrollment in the study. Specifically, when compared to projected values there were increases in enrollment for both the TR and the TLE groups, but not the UT group. Of those that passed screening 99% of rural and 32% of urban residents enrolled in the study.</p><p><strong>Conclusion: </strong>A multi-pronged and individualized community engagement approach can increase enrollment of rural residents in clinical trials. Building strong relationships and partnering with community clinics and local communities is essential to success.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e184"},"PeriodicalIF":2.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145113369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementation and preliminary evaluation of an entrepreneurship, biomedical innovation, and design pathway in a school of medicine curriculum.","authors":"Nathaniel Hafer, Christian Keenan, Anindita Deb","doi":"10.1017/cts.2025.10112","DOIUrl":"10.1017/cts.2025.10112","url":null,"abstract":"<p><p>New educational curricula are emerging to train physicians for healthcare in the 21<sup>st</sup> century. The University of Massachusetts Chan Medical School T.H. Chan School of Medicine (UMass Chan) implemented an MD curriculum redesign in the fall of 2022 that included seven educational pathways, including Entrepreneurship, Biomedical Innovation, and Design. This new pathway curriculum introduces students to the principles of innovation, entrepreneurship, basic engineering principles, and technology commercialization. It is modeled after the I-Corps curriculum with added material regarding engineering principles. I-Corps was initially developed by the National Science Foundation (NSF) to help scientists understand the commercial potential of their inventions. Major elements include the Business Model Canvas and Customer Discovery [19-22]. First-year (Class of 2027) and second-year (Class of 2026) pathway students were invited to participate in online surveys evaluating course material and their knowledge of course content. Initial results show that the program was well received and student self-assessment demonstrated significant improvement. Objective student knowledge also significantly improved. Novel curricula have the potential to transform medical education and prepare future physicians to practice healthcare in the 21<sup>st</sup> Century.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e172"},"PeriodicalIF":2.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444688/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145112987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Feasibility and validation of a novel mobility monitoring sensor in hospitalized patients: A prospective cohort study.","authors":"Samuel Smith, Leah Steckler","doi":"10.1017/cts.2025.10110","DOIUrl":"10.1017/cts.2025.10110","url":null,"abstract":"<p><strong>Background: </strong>Hospital-acquired pressure injuries (HAPIs) are a preventable source of patient harm, contributing to morbidity, mortality, and billions in healthcare costs. Risk assessment tools rely on subjective evaluation and may not accurately capture real-time mobility. Existing technologies have not been widely adopted and have failed to significantly reduce HAPI rates. Our study explores the feasibility of a novel, wireless mattress-attachable motion sensor designed for continuous mobility monitoring in hospitalized patients.</p><p><strong>Methods: </strong>Sensor accuracy was first validated against video analysis in three healthy volunteers. A single-arm prospective cohort study was then conducted in hospitalized patients. A motion sensor was attached to each patient's bed to continuously record movement. Sensor-derived mobility data were compared with nursing-assessed mobility scores and other patient characteristics. Simulated immobility alerts were generated based on periods of inactivity.</p><p><strong>Results: </strong>The sensor's movement detection strongly correlated with video-based analysis in three healthy volunteers (<i>r</i> = 0.89, 95% CI [0.51, 0.99]). Forty-seven patients were enrolled with an average of 9.7 movements/hour and average recording duration of 22.9 hours. No significant differences in age, comorbidities, or nursing mobility scores were observed between high- and low-movement groups. Simulated immobility alerts identified 15 patients who would have triggered a notification, predominantly those with lower movement and BMI.</p><p><strong>Conclusions: </strong>The sensor system provides objective mobility data and overcomes limitations of current assessment tools. These findings support its potential role in pressure injury prevention and highlight key areas for future clinical integration.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e171"},"PeriodicalIF":2.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444695/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145112889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kathrene R Conway, Lorraine S Evangelista, Curtis W Noonan, Jeffrey L Ebersole, Reimund Serafica, Joseph Guerrero Lopez, Robert Scott Seville, Jay Shen, Francisco S Sy
{"title":"Lessons learned from ten years of the Mountain West Clinical and Translational Research Infrastructure Network: A case study from the research core.","authors":"Kathrene R Conway, Lorraine S Evangelista, Curtis W Noonan, Jeffrey L Ebersole, Reimund Serafica, Joseph Guerrero Lopez, Robert Scott Seville, Jay Shen, Francisco S Sy","doi":"10.1017/cts.2025.10081","DOIUrl":"10.1017/cts.2025.10081","url":null,"abstract":"<p><p>The Mountain West Clinical & Translational Research Infrastructure Network (MW CTR-IN), hosted at the University of Nevada, Las Vegas, and supported by the National Institute of General Medical Sciences at the National Institutes of Health, began as a partnership among 13 major U.S. public universities across 7 MW Institutional Development Award (IDeA) States, stretched across 1/3rd of the U.S. land mass and encompassed almost 1/3<sup>rd</sup> of all IDeA States. The mission of the MW CTR-IN is to build and enhance infrastructure capacity to increase CTR in the MW region. This case study describes the Clinical Pilot Projects Program (CP3) processes and tools used to support this objective through its selection of applications to fund, supporting applicants and funded investigators, and providing guidance and oversight during the funding period. The MW CTR-IN has funded 152 single-investigator pilot projects, 7 multisite pilot projects, 13 developmental team grant projects, and 14 community-engaged projects. These projects have also led to over $92M in extramural grant funding, 308 presentations, and 1,124 peer-reviewed publications. The methodologies and expertise we gained can assist other CTR networks in developing efficient pilot project programs that have been evaluated and demonstrated to improve CTR initiatives, especially through the use of a custom portal.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e182"},"PeriodicalIF":2.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444690/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145113175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sara O'Connor, Maritza Salazar Campo, Teresa Madamba
{"title":"Taking the reins and letting them go: Mentorship of scientific swift teams.","authors":"Sara O'Connor, Maritza Salazar Campo, Teresa Madamba","doi":"10.1017/cts.2025.10104","DOIUrl":"10.1017/cts.2025.10104","url":null,"abstract":"<p><strong>Background: </strong>Complex, knowledge-intensive projects present challenges in terms of defining the work and determining roles. Time pressure makes these challenges more acute. External leadership can provide necessary direction and shape, giving the work a clear focus guiding the team's efforts. With hackathons and rapid product prototyping more feasible than they ever have been, collaborations that fast-track innovation by drawing together teams of unfamiliar experts are more common than ever.</p><p><strong>Method: </strong>Drawing on the process perspective on creative action, we seek to understand the generation of new ideas and solutions when teams are working within an extremely brief time frame of one week. The influence of mentors on these interactions has received limited attention. We fill this gap through a study of fifteen case teams who participated in a week-long boot camp where they generated proposals for public health studies, guided by mentors who were experts in the field. The teams' proposals were evaluated by independent panels, and the evaluations provided metrics for team success.</p><p><strong>Results: </strong>Our results suggest that even in short-term teams, the timing of mentor interventions is critical to team success.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e169"},"PeriodicalIF":2.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444716/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145113261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Phillip Ianni, Elias Samuels, Ellen Champagne, Eric Nehl, Deborah DiazGranados
{"title":"A scoping review of mentorship in a CTSA context: A summary of past work and an agenda for future research.","authors":"Phillip Ianni, Elias Samuels, Ellen Champagne, Eric Nehl, Deborah DiazGranados","doi":"10.1017/cts.2025.10096","DOIUrl":"10.1017/cts.2025.10096","url":null,"abstract":"<p><p>Mentorship is a vital part of the training provided in the K and T programs funded by the Clinical and Translational Science Awards (CTSA). However, the inputs, indicators, and outcomes associated with a successful mentoring relationship remain poorly understood. In this review, we critically examine the current body of literature on mentorship in a CTSA context. We conducted a comprehensive search of the literature for relevant research articles. We included articles that were contextualized within a CTSA hub, examined a mentorship program, and conducted evaluation research. Through an initial search of online databases and by reviewing reference sections of relevant articles, we identified 141 potentially relevant articles. Twenty-five of these articles met our inclusion criteria. We identified three categories of research: nationwide institutional surveys of CTSA mentorship programs, mentored research training programs, and mentor training programs. While the findings highlighted the effectiveness of mentor training and mentored training programs, there is a notable lack of assessment of mentoring inputs and indicators. Based on our review, we propose a model for the evaluation of CTSA mentorship that includes measurable inputs, indicators, and outcomes. This model provides a holistic framework for evaluators and CTSA program directors to better understand their mentorship programs.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e164"},"PeriodicalIF":2.0,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12392357/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144955974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexandra E Harper, Analay Perez, M Miaisha Mitchell, Daphne Watkins, Gina M Jay, Vanessa I Trujillo, Kristen Weeks-Norton, Shannen McIntosh, Brenda Eakin, Elias Samuels, Gretchen Piatt, Catherine Striley, Linda Cottler, Sergio Aguilar-Gaxiola, Susan L Murphy
{"title":"\"Our work is recognized and we are prepared:\" A qualitative evaluation of a peer-led research best practices training for community health workers and promotoras.","authors":"Alexandra E Harper, Analay Perez, M Miaisha Mitchell, Daphne Watkins, Gina M Jay, Vanessa I Trujillo, Kristen Weeks-Norton, Shannen McIntosh, Brenda Eakin, Elias Samuels, Gretchen Piatt, Catherine Striley, Linda Cottler, Sergio Aguilar-Gaxiola, Susan L Murphy","doi":"10.1017/cts.2025.10094","DOIUrl":"10.1017/cts.2025.10094","url":null,"abstract":"<p><strong>Introduction: </strong>To overcome the dearth of high-quality, evidence-based, role-specific training for community health workers and promotoras (CHW/Ps) working with research teams, we developed and evaluated a peer-led research best practices training for CHW/Ps. This article qualitatively explores the training experiences from the perspectives of CHW/Ps.</p><p><strong>Methods: </strong>CHW/Ps were recruited from communities and partners affiliated with study sites in Michigan, Florida, and California to participate in peer facilitated trainings in English and Spanish. A purposeful sample of CHW/Ps completed interviews from July to December 2023 about their perceptions of the training. Three coders analyzed the interviews using a combination of the rigorous and accelerated data reduction (RADaR) technique and thematic text analysis.</p><p><strong>Results: </strong>Seventeen CHW/Ps participated in interviews (<i>N</i> = 10 in English; <i>N</i> = 7 in Spanish). The mean age was 43.7 ± 14.5 years, most were female (59%), and 47% identified as Hispanic, Latino, or Spanish. We identified three primary themes, each with resulting subthemes: (1) CHW/Ps' Perceptions of the Training, (2) Factors Influencing Receipt of the Training, and (3) CHW/Ps' Recommendations for Future Trainings. Despite offering some opportunities for improvement in various areas, CHW/P learners found the training further clarified their role as CHW/Ps, enhanced their knowledge and skills, and provided a beneficial foundation for CHW/Ps working in community-engaged research.</p><p><strong>Conclusion: </strong>A peer-led research best practices training for CHW/Ps is an effective strategy for enhancing CHW/Ps' knowledge and skills. Training CHW/Ps in research best practices is a strategy for enhancing the capacity and capability of this community-engaged research workforce.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e180"},"PeriodicalIF":2.0,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444694/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145113347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}