Joseph Rigdon, Kimberly Montez, Deepak Palakshappa, Callie Brown, Stephen M Downs, Laurie W Albertini, Alysha Taxter
{"title":"Predicting food insecurity in a pediatric population using the electronic health record.","authors":"Joseph Rigdon, Kimberly Montez, Deepak Palakshappa, Callie Brown, Stephen M Downs, Laurie W Albertini, Alysha Taxter","doi":"10.1017/cts.2024.645","DOIUrl":"10.1017/cts.2024.645","url":null,"abstract":"<p><strong>Introduction: </strong>More than 5 million children in the United States experience food insecurity (FI), yet little guidance exists regarding screening for FI. A prediction model of FI could be useful for healthcare systems and practices working to identify and address children with FI. Our objective was to predict FI using demographic, geographic, medical, and historic unmet health-related social needs data available within most electronic health records.</p><p><strong>Methods: </strong>This was a retrospective longitudinal cohort study of children evaluated in an academic pediatric primary care clinic and screened at least once for FI between January 2017 and August 2021. American Community Survey Data provided additional insight into neighborhood-level information such as home ownership and poverty level. Household FI was screened using two validated questions. Various combinations of predictor variables and modeling approaches, including logistic regression, random forest, and gradient-boosted machine, were used to build and validate prediction models.</p><p><strong>Results: </strong>A total of 25,214 encounters from 8521 unique patients were included, with FI present in 3820 (15%) encounters. Logistic regression with a 12-month look-back using census block group neighborhood variables showed the best performance in the test set (C-statistic 0.70, positive predictive value 0.92), had superior C-statistics to both random forest (0.65, <i>p</i> < 0.01) and gradient boosted machine (0.68, <i>p</i> = 0.01), and showed the best calibration. Results were nearly unchanged when coding missing data as a category.</p><p><strong>Conclusions: </strong>Although our models could predict FI, further work is needed to develop a more robust prediction model for pediatric FI.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"8 1","pages":"e195"},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11626594/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142801060","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}
Sarah D Hohl, Erin Abu-Rish Blakeney, Lori Carter-Edwards, Magaly Ramirez, Sarah Towner Wright, Brenda K Zierler, Dillon van Rensburg, Teresa Jewell, Linda K Ko
{"title":"The intersection of community engagement and team science research: A scoping review.","authors":"Sarah D Hohl, Erin Abu-Rish Blakeney, Lori Carter-Edwards, Magaly Ramirez, Sarah Towner Wright, Brenda K Zierler, Dillon van Rensburg, Teresa Jewell, Linda K Ko","doi":"10.1017/cts.2024.644","DOIUrl":"10.1017/cts.2024.644","url":null,"abstract":"<p><strong>Introduction: </strong>Integrating community expertise into scientific teams and research endeavors can holistically address complex health challenges and grand societal problems. An in-depth understanding of the integration of team science and community engagement principles is needed. The purpose of this scoping review was to identify how and where team science and community engagement approaches are being used simultaneously in research.</p><p><strong>Methods: </strong>We followed Levac's enhancement of Arksey and O'Malley's Scoping Review Framework and systematically searched PubMed, CINAHL, Scopus, ERIC, and Embase for team science and community engagement terms through January 2024.</p><p><strong>Results: </strong>Sixty-seven articles were reviewed. Publications describing integrated team science and community-engaged research have increased exponentially since 2004. Over half were conducted outside of the U.S., utilized qualitative methods, included community-researcher co-development of research question and study design, and described team partnership goals, roles, and management. Fewer studies evaluated partnership, built community capacity, described financial compensation to communities, or described team dynamics facilitation.</p><p><strong>Conclusion: </strong>As researchers continue to integrate community engagement and team science, common criteria and strategies for integrating the approaches are needed. We provide 19 recommendations for research teams, research institutions, journals, and funding bodies in service of advancing the science and practice of this integration.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"8 1","pages":"e208"},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11713437/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142949797","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}
Ariella R Korn, Jennifer L Cruz, Natalie R Smith, Rebekah R Jacob, Megan Carney, Wallis Slater, Shoba Ramanadhan
{"title":"Advancing and strengthening the study of social networks in community-level dissemination and implementation research: A narrative review.","authors":"Ariella R Korn, Jennifer L Cruz, Natalie R Smith, Rebekah R Jacob, Megan Carney, Wallis Slater, Shoba Ramanadhan","doi":"10.1017/cts.2024.614","DOIUrl":"10.1017/cts.2024.614","url":null,"abstract":"<p><p>The dissemination and implementation (D&I) of evidence at the community level is critical to improve health and advance health equity. Social networks are considered essential to D&I efforts, but there lacks clarity regarding how best to study and leverage networks. We examined networks in community-level D&I frameworks to characterize the range of network actors, activities, and change approaches. We conducted a narrative review of 66 frameworks. Among frameworks that explicitly addressed networks - that is, elaborated on network characteristics, structure, and/or activities - we extracted and synthesized network concepts using descriptive statistics and narrative summaries. A total of 24 (36%) frameworks explicitly addressed networks. Commonly included actors were implementers, adopters/decision-makers, innovation developers, implementation support professionals, and innovation recipients. Network activities included the exchange of resources, knowledge, trust, and norms. Most network-explicit frameworks characterized ties within and across organizations and considered element(s) of network structure - for example, size, centrality, and density. The most common network change strategy was identifying individuals to champion D&I efforts. We discuss opportunities to expand network inquiry in D&I science, including understanding networks as implementation determinants, leveraging network change approaches as implementation strategies, and exploring network change as an implementation outcome.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"8 1","pages":"e203"},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11626584/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142800829","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}
Christopher J Lindsell, Matthew Shotwell, Kevin J Anstrom, Scott Berry, Erica Brittain, Frank E Harrell, Nancy Geller, Birgit Grund, Michael D Hughes, Prasanna Jagannathan, Eric Leifer, Carlee B Moser, Karen L Price, Michael Proschan, Thomas Stewart, Sonia Thomas, Giota Touloumi, Lisa LaVange
{"title":"Erratum: The statistical design and analysis of pandemic platform trials: Implications for the future - CORRIGENDUM.","authors":"Christopher J Lindsell, Matthew Shotwell, Kevin J Anstrom, Scott Berry, Erica Brittain, Frank E Harrell, Nancy Geller, Birgit Grund, Michael D Hughes, Prasanna Jagannathan, Eric Leifer, Carlee B Moser, Karen L Price, Michael Proschan, Thomas Stewart, Sonia Thomas, Giota Touloumi, Lisa LaVange","doi":"10.1017/cts.2024.648","DOIUrl":"https://doi.org/10.1017/cts.2024.648","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1017/cts.2024.514.].</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"8 1","pages":"e177"},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11604506/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769451","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}
Laura Van Althuis, Sally Taylor, Debra Freeman, Stephanie Freel, Lynn Sutton, Kenisha Bethea, Leatrice Martin, Amanda McMillan, Diane Williams Garber, Keisha Bentley-Edwards, Nadine Barrett, Denise C Snyder, Susanna Naggie
{"title":"Duke Research at Pickett: The evolution of a free-standing research site partnering with communities toward health equity advancement.","authors":"Laura Van Althuis, Sally Taylor, Debra Freeman, Stephanie Freel, Lynn Sutton, Kenisha Bethea, Leatrice Martin, Amanda McMillan, Diane Williams Garber, Keisha Bentley-Edwards, Nadine Barrett, Denise C Snyder, Susanna Naggie","doi":"10.1017/cts.2024.649","DOIUrl":"10.1017/cts.2024.649","url":null,"abstract":"<p><p>While clinical research intends to improve health outcomes for all, access to research participation is often limited and inequitable. Geographic proximity is a recognized barrier, thus, systemic infrastructure solutions through federal programs including General Clinical Research Centers and Clinical and Translational Science Awards have sought to improve accessibility. Even with such support, academic medical centers often have limited clinical research-dedicated space apart from shared exam rooms in difficult-to-navigate hospitals or clinics. In 2019, the Duke University School of Medicine looked beyond its medical center campus to identify free-standing sites within Durham communities for participant study visits. Catalyzed by the COVID-19 pandemic, Duke Research at Pickett, a 22 000-square-foot building with a laboratory, 30 exam rooms, and on-site parking, opened in October 2020 to support vaccine and treatment trials. Upon the lifting of many COVID-19 restrictions, and in partnership with the Research Equity and Diversity Initiative (READI) Community Advisory Council, the building was transformed to encourage community gatherings, education, and training programs. To date, Duke Research at Pickett has hosted 2692 participants in 78 research trials and 14 community-engaged activities.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"9 1","pages":"e12"},"PeriodicalIF":2.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11795852/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143255588","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}
Amy G Huebschmann, Angela G Brega, Sarah A Stotz, Aliassa L Shane, Roxanna King, Valarie Blue Bird Jernigan, Kaylee R Clyma, R Turner Goins, Gary L Ferguson, Tassy Parker, Nathania Tsosie, Sara J Mumby, Spero M Manson, Meredith P Fort
{"title":"Gaps and opportunities for measuring equity with the Translational Science Benefits Model: Recommendations from the Center for American Indian and Alaska Native Diabetes Translation Research.","authors":"Amy G Huebschmann, Angela G Brega, Sarah A Stotz, Aliassa L Shane, Roxanna King, Valarie Blue Bird Jernigan, Kaylee R Clyma, R Turner Goins, Gary L Ferguson, Tassy Parker, Nathania Tsosie, Sara J Mumby, Spero M Manson, Meredith P Fort","doi":"10.1017/cts.2024.638","DOIUrl":"10.1017/cts.2024.638","url":null,"abstract":"<p><p>Translational research needs to show value through impact on measures that matter to the public, including health and societal benefits. To this end, the Translational Science Benefits Model (TSBM) identified four categories of impact: Clinical, Community, Economic, and Policy. However, TSBM offers limited guidance on how these areas of impact relate to equity. Central to the structure of our Center for American Indian and Alaska Native Diabetes Translation Research are seven regional, independent Satellite Centers dedicated to community-engaged research. Drawing on our collective experience, we provide empirical evidence about how TSBM applies to equity-focused research that centers community partnerships and recognizes Indigenous knowledge. For this special issue - \"Advancing Understanding and Use of Impact Measures in Implementation Science\" - our objective is to describe and critically evaluate gaps in the fit of TSBM as an evaluation approach with sensitivity to health equity issues. Accordingly, we suggest refinements to the original TSBM Logic model to add: 1) community representation as an indicator of providing community partners \"a seat at the table\" across the research life cycle to generate solutions (innovations) that influence equity and to prioritize what to evaluate, and 2) assessments of the representativeness of the measured outcomes and benefits.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"8 1","pages":"e206"},"PeriodicalIF":2.1,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11626608/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142800945","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 conversation with Mehdi Shishehbor, DO, MPH, PhD, President, Harrington Heart & Vascular Institute and Professor of Medicine, Cleveland University Hospitals Cleveland Medical Center.","authors":"","doi":"10.1017/cts.2024.603","DOIUrl":"https://doi.org/10.1017/cts.2024.603","url":null,"abstract":"","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"8 1","pages":"e174"},"PeriodicalIF":2.1,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11604505/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769464","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":"Implication of serum copper level, serum zinc level, and copper to zinc ratio in neonatal sepsis.","authors":"Seyed Hossein Saadat, Rakhshaneh Goodarzi, Sadegh Kargarian Marvasti, Sobhan Montazerghaem","doi":"10.1017/cts.2024.547","DOIUrl":"https://doi.org/10.1017/cts.2024.547","url":null,"abstract":"<p><strong>Background: </strong>Zinc and copper are trace elements that have important roles in the function of the immune system. We aimed to compare serum zinc and copper levels in neonates with and without neonatal sepsis.</p><p><strong>Methods: </strong>This case-control study examined 54 newborns with sepsis and 54 matched healthy controls admitted to the neonatal intensive care unit of Children's Hospital, Bandar Abbas, Iran. Neonates with the diagnosis of sepsis were regarded as cases and those admitted for other reasons were regarded as controls. Maternal and neonatal serum zinc and copper were measured on admission. Copper, zinc, and copper/zinc ratio differences between case and control groups were analyzed.</p><p><strong>Results: </strong>Neonatal zinc levels were significantly lower in the sepsis group versus controls (88.65 ± 40.64 vs 143.48 ± 69.57μg/dL, <i>p</i> < 0.001). Sepsis group mothers had lower zinc (66.04 vs 83.37μg/dL, <i>p</i> = 0.008) and copper (124.09 vs 157.74μg/dL, <i>p</i> < 0.001). Neonatal copper levels were slightly lower in the sepsis group. Copper/zinc ratio was significantly higher in the sepsis group (<i>p</i> < 0.001). In the sepsis group, the interval to the resolution of sepsis symptoms was significantly shorter in neonates with excess compared to sufficient copper levels (<i>P</i> = 0.023).</p><p><strong>Conclusions: </strong>Serum copper and zinc levels have an important role in the immune system's response to the infection. Neonatal serum copper at levels higher than normal can lead to significantly shorter hospital stay. Also, higher Cu/Zn ratios can be found in neonatal sepsis, suggesting the potential utility of this index in the diagnosis of sepsis.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"8 1","pages":"e176"},"PeriodicalIF":2.1,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11604512/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769453","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 Conversation with Waldemar A. Carlo, MD, Co-Division Director of Neonatology, Edwin M. Dixon Chair in Neonatology Professor of Pediatrics, University of Alabama at Birmingham.","authors":"","doi":"10.1017/cts.2024.602","DOIUrl":"https://doi.org/10.1017/cts.2024.602","url":null,"abstract":"","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"8 1","pages":"e173"},"PeriodicalIF":2.1,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11604498/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769467","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}
Hannah M Peterson, Jenna C Holler, Abby Boswell, Lauren A Trepanier
{"title":"Urothelial genotoxicity of environmental chemicals detected in the urine of healthy dogs and their owners.","authors":"Hannah M Peterson, Jenna C Holler, Abby Boswell, Lauren A Trepanier","doi":"10.1017/cts.2024.546","DOIUrl":"https://doi.org/10.1017/cts.2024.546","url":null,"abstract":"<p><strong>Introduction: </strong>Major risk factors for urothelial cell carcinoma (UCC) in people are smoking and occupational exposures. However, up to 30% of human UCC risk is still unexplained. Pet dogs develop UCC that models the clinical behavior of muscle-invasive human UCC. Dogs may therefore provide a useful model for non-tobacco, nonoccupational UCC risk. We previously found that nonsmoking human subjects and their pet dogs share exposures to the urothelial carcinogens acrolein and arsenic. We hypothesized that these urinary exposures would reach genotoxic concentrations in some individuals.</p><p><strong>Methods: </strong>We exposed immortal and primary human and canine urothelial cells <i>in vitro</i> to acrolein and inorganic arsenic and used the γ-H2AX and comet assays to measure DNA damage.</p><p><strong>Results: </strong>For acrolein, we found a genotoxic threshold of 1.1-4.4 μM in human cells and a threshold of 20.0-55.6 μM in canine cells. These findings are consistent with potentially genotoxic urinary acrolein exposures in 51% of healthy human subjects and 17% of pet dogs previously surveyed. For inorganic arsenic, we found a genotoxic threshold of ≥10 μM in canine and human cell lines. No healthy human or canine subject reached these urinary inorganic arsenic exposures when assayed at a single time point.</p><p><strong>Conclusions: </strong>Non-tobacco, nonoccupational acrolein exposures could increase the risk of early urothelial DNA damage in both people and pet dogs. Ongoing studies will assess these chemical exposures in the setting of UCC in both human and canine patients.</p>","PeriodicalId":15529,"journal":{"name":"Journal of Clinical and Translational Science","volume":"8 1","pages":"e172"},"PeriodicalIF":2.1,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11604503/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769473","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}