Journal of Clinical and Translational Science最新文献

{"title":"Patients' preferences and perceptions of point-of-care technologies: Survey results from the lung disease community.","authors":"Bernard Ofosuhene, Heaven Tatere, Miraf Yeshaneh Tatere, Taylor Orwig, Ziyue Wang, Apurv Soni, Craig M Lilly, Stephen Anders, Denise Dunlap, Honghuang Lin, Allan Walkey, Chiara Ghezzi, Mary Ann Picard, Varun Ayyaswami, Bryan Buchholz, David D McManus, Nathaniel Hafer","doi":"10.1017/cts.2026.10791","DOIUrl":"10.1017/cts.2026.10791","url":null,"abstract":"<p><strong>Background: </strong>Point-of-care technology (POCT) has expanded rapidly, particularly since the COVID-19 pandemic. However, less is known about which POCT applications and features patients and caregivers prioritize for lung disease management.</p><p><strong>Methods: </strong>We refined a patient-facing survey based on feedback from an online focus group recruited through community and advocacy volunteer networks. The survey was then administered via ResearchMatch to uncompensated U.S. volunteers, who indicated interest in lung disease research (April 1 to May 14, 2025; 6,333 invitations). POCT perceptions were measured via a 10-point Likert scale.</p><p><strong>Results: </strong>We received 214 responses (3.4% response rate). Respondents were predominantly patients (79%), female (71%), and older than 60 years (59%). Mean ratings suggested strong perceived benefits across nine POCT benefits and low concern across most drawbacks. The greatest concern was insurance coverage for POCT-associated costs (mean score: 6.7/10). Obstructive lung conditions were most frequently prioritized for future POCT applications.</p><p><strong>Conclusion: </strong>Among a national sample of ResearchMatch volunteers affected by lung disease, interest in POCT was high, and insurance coverage remained the most salient concern. By describing preferences and concerns of patients, this study informs future design, regulatory approval, and clinical integration. These findings provide evidence for POCT developers, clinicians, and policymakers focused on improving patient-centered care.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"10 1","pages":"e128"},"PeriodicalIF":2.7,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13420163/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148630233","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":"SOARNet: Establishing an older adult focused practice-based research network.","authors":"Caitlin Elizabeth Sangdahl, Sara S Masoud, Vidya Sharma, Meredith Stensland, Cynthia Sierra, Jennifer LaCoss, Angelica Davila","doi":"10.1017/cts.2026.10797","DOIUrl":"10.1017/cts.2026.10797","url":null,"abstract":"<p><p>Older adults experience high rates of chronic disease that reduce quality of life and independence. In South Texas, these challenges are compounded by limited access to culturally aligned care and a high burden of chronic conditions. Addressing these disparities requires infrastructure that bridges research and practice to support the translation of evidence into real-world care. This manuscript describes the establishment of the Supporting Older Adults through Research Network (SOARNet), a population-specific practice-based research network (PBRN) and reports early lessons from its development and recruitment strategies. SOARNet employs a multi-level leadership structure and an Advisory Board to guide research priorities, review member-initiated proposals, and facilitate collaboration among clinical, research, and community stakeholders. Recruitment strategies included informational materials, clinic visits, and targeted email outreach. Since inception, SOARNet has enrolled 61 members representing healthcare clinicians (55.7%), researchers (18.0%), community members (32.8%), and organizations (8.2%), with targeted email outreach proving most effective (<i>n</i> = 56). SOARNet has supported a collaborative research study, facilitated member consultations, and contributed to dissemination activities. These findings demonstrate the value of population-specific PBRNs in advancing community-engaged translational research to improve care for older adults. Future priorities focus on expanding partnerships and strengthening culturally responsive, bidirectional research.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"10 1","pages":"e135"},"PeriodicalIF":2.7,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13430482/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148669654","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":"Development and qualitative formative assessment of pictorial paper-based and digital carbohydrate-counting educational resources for diabetes management.","authors":"Getrude Mphwanthe, Bridget Mkama, Humphrey Chatenga, Lydia Lowe, Lorraine Weatherspoon","doi":"10.1017/cts.2026.10787","DOIUrl":"10.1017/cts.2026.10787","url":null,"abstract":"<p><strong>Introduction: </strong>Tailored carbohydrate-counting (CC) resources are helpful for diabetes self-management from an educator and patient perspective. Because these resources are unavailable in Malawi, we developed both pictorial paper-based and mobile app CC resources and explored clinical dietitians' perceptions of these resources after using them in routine clinical practice.</p><p><strong>Methods: </strong>The initial pictorial paper-based CC resource was developed using foods informed by a previous study and input from clinical dietitians.Nutrient composition of foods was determined from the Malawi Food Composition Table and similar sources. We collaborated with clinical dietitians and app developers through a user-centered design/user experience approach, an iterative process to develop the mobile app CC. Five clinical dietitians then integrated both the pictorial paper-based and mobile app CC resources into routine clinical care for patients with diabetes, both inpatient and outpatient, for 10 working days. Subsequently, we conducted in-depth interviews to elicit their perceptions and analyzed the data using thematic analysis.</p><p><strong>Results: </strong>Pictures of portioned foods were displayed alongside standardized utensils, food names in English and Chichewa, net weight, carbohydrate content, and the number of carbohydrate counts. The mobile app featured the following tabs: patient profile, carbohydrate information, food comparison, carbohydrate count, and meal planning. Four themes emerged from the in-depth interviews: ease and feasibility of use; benefits to dietetic practice; challenges with using the pictorial paper-based and mobile app; and perceived areas requiring improvement.</p><p><strong>Conclusions: </strong>The pictorial paper-based and mobile app CC resources were deemed easy to use and feasible for routine diabetes counseling, hence useful in low-resource settings.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"10 1","pages":"e133"},"PeriodicalIF":2.7,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13430486/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148669636","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":"Designing for impact: Introducing translational design studies.","authors":"Boris Volkov, Reuben Adatorwovor, Lloyd Michener, Christopher Lindsell, Justin B Moore","doi":"10.1017/cts.2026.10777","DOIUrl":"10.1017/cts.2026.10777","url":null,"abstract":"","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"10 1","pages":"e132"},"PeriodicalIF":2.7,"publicationDate":"2026-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13420195/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148630653","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":"The costs of partner engagement in research: Opportunities for pragmatic research, implementation science, and the science of engagement.","authors":"Liza M Creel, John Cronin, Daniel D Matlock, Russell E Glasgow, Samantha Rubio, Monica Perez Jolles","doi":"10.1017/cts.2026.10784","DOIUrl":"10.1017/cts.2026.10784","url":null,"abstract":"<p><p>There is growing emphasis on the importance of active partner engagement in research and the design, planning, and implementation of new programs. Indeed, the science of engagement is gaining is receiving more attention from researchers, being formally included in research studies more often, and increasingly being required by funders. Financial costs and economic implications are well-known drivers of successful adoption, implementation, and sustainment of evidence-based programs; however, partner engagement costs are often excluded from economic evaluations even when elements of engagement may be relevant to sustainment and replication. Resource constraints in both research and practice highlight the need to better understand engagement costs to ensure that scarce resources are put towards the richest engagement activities. As part of the Rapid and Rigorous Patient-Centered Program (R2P2) in Colorado, we designed an approach to systematically document and analyze partner engagement costs across four prototype projects. We describe this approach, summarize needed adaptations, share an interactive data collection template, synthesize the relevant engagement costs during implementation, replication, and sustainment, and discuss lessons learned. Our experiences in R2P2 in costing initial engagement activities across four diverse projects offer direction for future research and practice that balances high-quality partner engagement with efficiency in addressing resource constraints facing researchers and practitioners.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"10 1","pages":"e118"},"PeriodicalIF":2.7,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13430481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148669705","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":"Statistical modeling of days alive out-of-hospital: An illustration using the SSU trial.","authors":"Xin Wu, David A Berger, Jason J Bischof, Douglas Char, Deborah Diercks, Erik P Hess, Alan E Jones, Kathleen A Lane, Phillip Levy, Xiaochun Li, Joseph B Miller, Simon A Mahler, Susan J Pressler, Arvind Venkat, Peter S Pang, Sean Collins, Bryan S Blette","doi":"10.1017/cts.2026.10786","DOIUrl":"10.1017/cts.2026.10786","url":null,"abstract":"<p><strong>Background: </strong>Days alive out-of-hospital (DAOOH) is a well-accepted outcome in clinical research, as it summarizes both hospitalization and mortality. However, its distribution is often skewed, making accurate modeling challenging in practice. We utilized data from a randomized trial to discuss estimands and statistical methods of interest for DAOOH.</p><p><strong>Methods: </strong>We examined several estimands and statistical models targeting these estimands, including linear regression, gamma regression, ordinal regression, and the probabilistic index model. Comparison was based on interpretability, precision, and model fit. We adopted G-computation to assess causal effects leveraging different regression models to target a simple unified estimand.</p><p><strong>Results: </strong>For unadjusted analyses, the Mann-Whitney <i>U</i>-test is a simple and assumption-light approach, which can be paired with a probabilistic index to enhance interpretation. For adjusted analyses, while the mean difference and mean ratio are intuitive, the methods targeting them (linear and gamma regression) showed sub-optimal model fit. Conversely, ordinal regression showed a superior fit, but its odds ratio estimand is difficult to interpret. Pairing gamma or ordinal regression with g-computation facilitates estimation of a marginal causal mean difference estimand under certain assumptions, allowing for both a good model fit and interpretability.</p><p><strong>Conclusions: </strong>Our findings illustrate trade-offs of estimands and model choices for DAOOH, providing guidance for method selection. Based on data from this randomized trial, the Mann-Whitney <i>U</i>-test is recommended for unadjusted analyses. Ordinal regression paired with g-computation provides the best balance of precision, model fit, and interpretability to report an adjusted effect.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"10 1","pages":"e129"},"PeriodicalIF":2.7,"publicationDate":"2026-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13420199/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148630213","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":"A transdisciplinary systems-level approach to maternal health: Developing a Research Center of Excellence.","authors":"Anne Elizabeth Glassgow, Sage J Kim, Amanda Knepper, Zeynep Madak-Erdogan, Arden Handler, Tamara Hamlish, Jess Rothstein, Aiman Soliman, Rachel Caskey","doi":"10.1017/cts.2026.10778","DOIUrl":"10.1017/cts.2026.10778","url":null,"abstract":"<p><p>The United States faces a critical maternal health crisis, characterized by the highest mortality rates among high-income nations and profound racial disparities. The University of Illinois Chicago established the Luma Center, a Maternal Health Research Center of Excellence funded by the National Institutes of Health IMPROVE initiative. This article details the center's development, implementation, and theoretical foundation. Central to the Luma Center's mission is the Biopsychosocial Ecosystem Framework, which shifts the research focus from individual-level factors to the multilevel systemic drivers of maternal morbidity and mortality. Utilizing a transdisciplinary approach involving 18 academic disciplines, the Center operates through five core areas: Leadership, Community Partnership, Research, Training, and Data. The primary objectives are to conduct robust multilevel research, cultivate a diverse research workforce, and strengthen community partnerships to ensure the translation of findings into effective postpartum interventions. By integrating community expertise with academic innovation, the Luma Center seeks to systematically address the fundamental causes of poor maternal health outcomes and advance science to promote perinatal health and wellness.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"10 1","pages":"e122"},"PeriodicalIF":2.7,"publicationDate":"2026-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13420140/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148630679","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":"A data navigation model to improve access to research data resources in clinical and translational science.","authors":"Neena Thomas, Ayse Odabas, Soledad Fernandez, Lang Li, Julie Johnson","doi":"10.1017/cts.2026.10783","DOIUrl":"10.1017/cts.2026.10783","url":null,"abstract":"<p><p>Clinical and translational investigators increasingly rely on complex institutional and national data resources, yet barriers related to data discovery, governance, and access pathways remain common. To address fragmentation in data access, we piloted a Data Navigation Program within the Clinical and Translational Science Institute (CTSI) that established a trained Data Navigator as a centralized first point of contact for investigator data inquiries who provided individualized consultations, facilitated connections to data domain experts and honest broker services, and increased awareness of institutional data assets and regulatory requirements. To better characterize investigator needs, a CTSI-wide survey assessing data sources, governance, and training priorities was conducted in collaboration with the Clinical Translational Data Science (CTDS) Workgroup. Results demonstrated strong demand for structured guidance in data discovery and governance navigation. These findings informed refinement of the program, including development of the Research Data Source Match, a self-service decision-support tool implemented in REDCap that generates customized data access roadmaps based on investigator characteristics and data needs. During the pilot year, the Data Navigator conducted consultations addressing electronic health record (EHR), PCORnet resources, and government datasets. Integrating personalized navigation with scalable self-service tools may reduce barriers and support responsible data use in translational research.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"10 1","pages":"e117"},"PeriodicalIF":2.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13373600/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148470969","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":"Erratum: 449 A CTS team approach to investigating sEV production in magnetic-responsive scaffolds following Salmonella infection - ERRATUM.","authors":"Alexander Schultz, Brian Molina Diaz, Mei He, Mariola J Ferraro","doi":"10.1017/cts.2026.10762","DOIUrl":"10.1017/cts.2026.10762","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1017/cts.2026.10593.].</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"10 1","pages":"e103"},"PeriodicalIF":2.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13373598/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148470945","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":"Erratum: 415 Designing nanoparticle therapies for age-related macular degeneration - ERRATUM.","authors":"Suleyman Bozal, Johnny Sheng Yue, Marcello DiStasio, Allison Rothrock, Xianzhi Zhang, Hande Eda Sutova, Sagar Bhatta, Emily Deschenes, Gyoung Ju, W Mark Saltzman, Brian P Hafler","doi":"10.1017/cts.2026.10776","DOIUrl":"10.1017/cts.2026.10776","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1017/cts.2026.10567.].</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"10 1","pages":"e105"},"PeriodicalIF":2.7,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13373597/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148470980","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}