Susan D Smith, Kathryn Shady, Briana Abernathy, Morgan Tallo
{"title":"Pioneering the Nation's First Nursing Research Fellowship in Robotics and Innovation.","authors":"Susan D Smith, Kathryn Shady, Briana Abernathy, Morgan Tallo","doi":"10.32481/djph.2026.03.03","DOIUrl":"https://doi.org/10.32481/djph.2026.03.03","url":null,"abstract":"<p><strong>Objective: </strong>Clinical nurse attrition from the bedside calls for innovative professional development strategies that diversify skills and support wellbeing and retention. To address this issue, the largest health system in Delaware implemented the nation's first Nursing Research Fellowship in Robotics and Innovation using external grant funding.</p><p><strong>Programmatic methods: </strong>Following a competitive application pool, four bachelors-prepared clinical nurses were selected from two hospital campuses across four diverse practice areas. This eight-month, paid fellowship grounded in adult learning theory combined weekly didactic instruction with mentored, hands-on research in a structured, collaborative, and independent format. The nurse fellows serve as co-investigators on an IRB approved robotics study. Longitudinal pre-, mid-, and post-fellowship surveys assessed knowledge acquisition, program experience, and well-being.</p><p><strong>Programmatic results: </strong>Nurse fellows demonstrated gains in research competencies and specialty areas that included protocol development, informatics, artificial intelligence, robotics, and techquity. All fellows reported increased job satisfaction, improved psychological wellbeing, enhanced professional confidence, and intent to remain at the bedside. Scholarly outcomes included multiple accepted national and regional conference abstracts, published commentary articles, and co-authorship of an original research manuscript.</p><p><strong>Conclusions: </strong>This novel fellowship effectively integrated research education, innovation, and paid protected time to strengthen clinical nurses' research capability, professional fulfillment, and retention to the bedside. This program offers a replicable model for advancing nursing workforce wellbeing through immersive, mentored research experiences.</p>","PeriodicalId":72774,"journal":{"name":"Delaware journal of public health","volume":"12 1","pages":"6-9"},"PeriodicalIF":0.0,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13048760/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147629315","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":"Perspective: Delaware's Vision for Responsible Innovation in Health Care.","authors":"Christen Linke Young","doi":"10.32481/djph.2026.03.18","DOIUrl":"https://doi.org/10.32481/djph.2026.03.18","url":null,"abstract":"","PeriodicalId":72774,"journal":{"name":"Delaware journal of public health","volume":"12 1","pages":"128-129"},"PeriodicalIF":0.0,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13048764/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147629375","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":"Autonomous Wheelchairs Deployment in Healthcare Facilities: Requirements and Challenges.","authors":"Mingyu Guo, Weisong Shi","doi":"10.32481/djph.2026.03.05","DOIUrl":"https://doi.org/10.32481/djph.2026.03.05","url":null,"abstract":"<p><p>Deployed autonomous wheelchairs are reliable when autonomy is constrained to bounded domains and predefined destinations, but this design choice leaves key clinical requirements unmet. In health facilities, the primary barriers are not only navigation performance, but also robust interaction with building infrastructure (doors, elevators, access control), socially and operationally appropriate behavior in crowded corridors, and safety-centered fallback when perception or planning degrades. This vision paper characterizes these recurring gaps and distills a requirements agenda for next-generation autonomous wheelchairs: (1) building and workflow compatibility as first-class subsystems; (2) explicit recovery and caregiver-in-the-loop modes; (3) semantic \"last-meter\" goal grounding for user-referenced destinations; and (4) on-device, timing-predictable architectures aligned with privacy and scalable deployment. To make these requirements actionable, at the CAR lab at UD, we present SWee, a working prototype that emphasizes clinical deployability through an on-device, modular edge-box architecture (VOCAR) integrating onboard sensing and language-grounded goal specification.</p>","PeriodicalId":72774,"journal":{"name":"Delaware journal of public health","volume":"12 1","pages":"12-18"},"PeriodicalIF":0.0,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13048751/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147629382","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":"How Strong Data Infrastructure Could Transform Delaware's Firearm Violence Prevention Ecosystem.","authors":"Lauren Footman, Danielle Fisher, Alexandra Wynn","doi":"10.32481/djph.2026.03.12","DOIUrl":"https://doi.org/10.32481/djph.2026.03.12","url":null,"abstract":"<p><p>Firearm violence is a persistent and preventable public health crisis in Delaware, resulting in avoidable loss of life, long-term injury, and community harm. Over the past decade, firearm violence has become prevalent across the state and disproportionately in communities with historic disinvestment and limited access to protective factors. Trends in firearm violence have shifted over time in Delaware, with periods of improvement in some jurisdictions occurring alongside rising violence in others. This context makes clear the need to treat firearm violence as a population-level health issue that requires timely and accessible data, coordinated systems, and intervention and prevention strategies beyond traditional criminal justice responses. This commentary examines Delaware's current capacity to address community violence intervention (CVI) through a public health lens, with a focus on the role of data infrastructure. The commentary argues that Delaware's fragmented data systems jeopardize the state's ability to effectively prevent and respond to firearm violence. By outlining the consequences of these gaps and drawing lessons from surrounding states, this provides best practices for strengthening Delaware's data infrastructure to support reductions in firearm violence statewide.</p>","PeriodicalId":72774,"journal":{"name":"Delaware journal of public health","volume":"12 1","pages":"92-95"},"PeriodicalIF":0.0,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13048761/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147629338","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}
Tanvir Rahman, Ajith Vemuri, Cora J Firkin, Barry Bodt, Elizabeth Orsega-Smith, Gregory M Dominick, Keith Decker
{"title":"Improving Context-Aware Personalized Nudging: Using Wearable Sensors to Reduce Sedentary Behavior.","authors":"Tanvir Rahman, Ajith Vemuri, Cora J Firkin, Barry Bodt, Elizabeth Orsega-Smith, Gregory M Dominick, Keith Decker","doi":"10.32481/djph.2026.03.14","DOIUrl":"https://doi.org/10.32481/djph.2026.03.14","url":null,"abstract":"<p><strong>Objectives: </strong>To improve nudge outcome classification accuracy in a context-aware personalized nudging framework using wearable sensor data targeted to reduce sedentary behavior using Just- in-Time Adaptive Interventions (JITAIs).</p><p><strong>Methods: </strong>Data were collected using a custom smartwatch application in a free-living observational study conducted at the University of Delaware (Newark, Delaware, USA) between Spring 2021 and Fall 2022. A total of 18 participants were enrolled. The system continuously recorded motion, physiological, and contextual data and delivered adaptive behavioral prompts. A decision- tree model was trained using sitting and walking bouts enriched with contextual features such as time, location, physiological state, and prior intervention outcomes. Behavioral responses were automatically evaluated using sensor-derived outcomes.</p><p><strong>Results: </strong>The proposed model improved classification accuracy for nudge outcomes from 0.42 to 0.78 across 787 sitting bouts. A walking-nudge model achieved an accuracy of 0.70 on 207 walking bouts. Nudged walking bouts were longer in duration, covered greater distances, and exhibited higher average speeds than non-nudged bouts.</p><p><strong>Conclusions: </strong>Context-aware adaptive nudging can improve both the timing and behavioral effectiveness of wearable-based interventions. Incorporating contextual and historical features enables personalized and behaviorally meaningful intervention delivery.</p><p><strong>Policy implications: </strong>Wearable-based adaptive interventions offer a scalable and cost-effective strategy to reduce sedentary behavior and support population-level health promotion.</p>","PeriodicalId":72774,"journal":{"name":"Delaware journal of public health","volume":"12 1","pages":"106-112"},"PeriodicalIF":0.0,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13048762/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147629307","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":"Progress Made, But the Work Isn't Done: Delaware's Path on Maternal and Infant Health.","authors":"Melissa C Minor-Brown, Marie Pinkney","doi":"10.32481/djph.2025.12.11","DOIUrl":"https://doi.org/10.32481/djph.2025.12.11","url":null,"abstract":"","PeriodicalId":72774,"journal":{"name":"Delaware journal of public health","volume":"11 5","pages":"56-57"},"PeriodicalIF":0.0,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12798926/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145971551","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 Ten-Year Retrospective Look at Maternal Deaths in Delaware Through Maternal Mortality Review.","authors":"Meena Ramakrishnan, Elisabeth Z Klein","doi":"10.32481/djph.2025.12.03","DOIUrl":"10.32481/djph.2025.12.03","url":null,"abstract":"<p><strong>Objective: </strong>This study describes the ten-year evolution of Delaware's Maternal Mortality Review (MMR) and key findings over two five-year periods of review: 2015-2019 and 2020-2024.</p><p><strong>Methods: </strong>This retrospective study describes the causes of death, key characteristics and priority recommendations documented in pregnancy associated deaths reviewed by the MMR Committee between 2015 and 2024. A pregnancy associated death is defined as the death of a Delaware resident while pregnant, or up to one year after the end of pregnancy, from any cause.</p><p><strong>Results: </strong>In the ten-year time period from 2015 to 2024, 75 cases were fully reviewed by the Delaware MMR Committee. Due to better case identification processes with the addition of vital statistics linkage in 2017, 58% more cases were identified and brought before the Committee in 2020-2024 compared to 2015-2019. Thirty-four percent and 20% of cases were determined to be pregnancy related in 2015-2019 and 2020-2024, respectively. A pregnancy related case is one in which the person's death is causally linked in some way to her being pregnant. Most pregnancy related cases occurred in the early postpartum period, within 42 days of delivery. In contrast, most pregnancy associated but not related cases occurred in the late postpartum period, months after delivery. Overdose was the single most common cause of death reviewed by the MMR Committee, most often representing the intersection of mental health conditions and substance use disorder.</p><p><strong>Conclusion: </strong>Recommendations put forth by the MMR Committee focus on implementing evidence-based standards and coordinated care across physical health, behavioral health and social domains.</p><p><strong>Policy implications: </strong>MMR is a key public health program that provides the most in-depth, comprehensive source of information on the drivers of maternal mortality in the state and its associated risk factors.</p>","PeriodicalId":72774,"journal":{"name":"Delaware journal of public health","volume":"11 5","pages":"6-14"},"PeriodicalIF":0.0,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12798929/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145971565","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":"From the Guest Editor.","authors":"Audrey A Merriam","doi":"10.32481/djph.2025.12.02","DOIUrl":"https://doi.org/10.32481/djph.2025.12.02","url":null,"abstract":"","PeriodicalId":72774,"journal":{"name":"Delaware journal of public health","volume":"11 5","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12798928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145971605","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":"Children's Health: 2025 and Beyond.","authors":"Stephen C Eppes","doi":"10.32481/djph.2025.12.12","DOIUrl":"10.32481/djph.2025.12.12","url":null,"abstract":"","PeriodicalId":72774,"journal":{"name":"Delaware journal of public health","volume":"11 5","pages":"58"},"PeriodicalIF":0.0,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12798933/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145971585","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":"Hepatitis B Birth Dose.","authors":"Stephen C Eppes, Katherine Smith","doi":"10.32481/djph.2025.12.10","DOIUrl":"https://doi.org/10.32481/djph.2025.12.10","url":null,"abstract":"","PeriodicalId":72774,"journal":{"name":"Delaware journal of public health","volume":"11 5","pages":"54"},"PeriodicalIF":0.0,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12798930/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145971571","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}