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This chapter explores the challenge to learning disability nursing in the period 1970-90. Learning disability nursing has its roots in the institutions that were built for the care and control of mental defectives following the 1913 Mental Deficiency Act. Nurses formed the majority of the paid workforce and in some cases managed the institutions with little or no medical oversight. By the 1960’s the institutions and their nurses were fully integrated within the National Health Service and the training of the nurses was organised by the General Nursing Council. In 1972 the Briggs Report into the future of the nursing profession recommended that what was then known as subnormality nursing would be replaced by a professional grouping based on a model of social care. The 1979 Jay Report formalised the recommendation by advocating a model of social care that would have no room for trained nurses. Both reports seemed to reflect a prevailing mood that nurses in what later became known as learning disability would go the way of fever nursing: an anachronism along with the institutions that they ran. Despite these developments however subnormality nursing, with its revised name of mental handicap then learning disability nursing survived and prospered.
Objectives/Goals: This study evaluated whether the Geriatric Acute and Post-acute Fall Prevention (GAPcare) intervention reduced fall-related emergency department (ED) visits and hospitalizations within 12 months of the index visit at three EDs and described adherence to pharmacy and physical therapy (PT) recommendations. Methods/Study Population: We enrolled ED patients aged ≥65 years presenting within 7 days of an accidental fall (excluding syncope, assault, or vehicle strike), who were community-dwelling, expected to be discharged, and without fractures preventing PT. We used the six-item screener for cognitive screening. Patients scoring ≤4 assented with proxy consent. Participants were randomized 1:1 to usual care or GAPcare intervention (ED-initiated pharmacy and PT consults). The primary outcome was fall-related ED visits within 12 months. Outcome assessors were blinded. Analyses followed intention-to-treat and adjusted for age, sex, prior falls, comorbidity index, activities of daily living, injury status, site, index ED visit, hospitalization, and assistive device use using negative binomial regression. Results/Anticipated Results: Among 196 patients, 100 received usual care and 96 received the GAPcare intervention. Median age was 78 (IQR 72–84), 68.4% were female, and 83.1% were white. Fall-related ED visits occurred in 30% of both groups (adjusted IRR 0.90, 95% CI 0.53–1.53). Fall-related hospitalizations were significantly lower in the intervention group (11% vs 21%; adjusted IRR 0.45, 95% CI 0.20–0.96), Adherence to pharmacy recommendations was 81%, and PT recommendations was 65%, with frequent medication optimization and assistive device use. Discussion/Significance of Impact: While GAPcare did not reduce fall-related ED visits, it significantly lowered fall-related hospitalizations and showed high adherence to fall prevention recommendations. These findings highlight GAPcare’s feasibility and potential to address fall risk during a critical window.
Objectives/Goals: Clinical research education and training for faculty and research professionals varies widely across the institution with high degree of variability in the content and competency standards. Recognizing this problem, the Clinical and Translational Science Institute of SE Wisconsin (CTSI) created the CTSI Academy that harmonizes offerings. Methods/Study Population: The CTSI Academy consists of programs tailored for junior investigators and new research staff. They cover full gamut of topics ranging from regulatory requirements to day-to-day operations. The CTSI academy further leveraged subject matter experts to be the presenters ensuring buy-in from across the institution. The CTSI co-lead a committee on education and training that eventually developed standardized curriculum for all research professionals at the Hub. Our programs leverage in-person, hybrid, and virtual asynchronous methods of learning to enable maximum acceptability. Results/Anticipated Results: The Academy has established 11 educational programs since its inception in 2017. There have been 3,706 individual attendees and 3,288 total graduates across all our programs since 2017. Of these, 1,531 have been unique graduates. Of the 1531 unique graduates, 303 have been faculty members, 20 students, and 1200 staff. We have also developed a template that standardizes role-based training for all research professionals that will be implemented beginning 2026 and plan to use this as a career ladder and retention tool. Discussion/Significance of Impact: The development of the CTSI Academy into a thriving hub for all clinical research training and education needs is a great example of collaboration between the CTSA award and institutional agencies such as the Office of Research and various other departments. The planned certification mechanism will further strengthen this relationship.
Objectives/Goals: This study evaluates the significance of PU.1 upregulation and the PU.1-mediated regulation of the anti-inflammatory miR-146a on pro-inflammatory NF-kB signaling in RCC-derived macrophages. The downstream effects of PU.1 targeting on key phenotypes related to RCC immunity and how this impacts RCC progression will also be examined. Methods/Study Population: Bioinformatics data identifying PU.1 upregulation within RCC tumors, correlation with prognostic clear cell RCC markers, and survival analysis were obtained using The Cancar Genome Atlas (TCGA) RNA-sequencing data. Murine RCC cell line Renca possessing a Vhl deletion are used to recapitulate a common deletion in human clear cell RCC tumors. This study utilizes two methods to target PU.1 in orthotopic RCC, a conditional PU.1 deletion model and a pharmacologic PU.1 inhibitor model. Quantitative real-time PCR, western blotting, and immunofluorescent staining will evaluate NF-kB signaling in PU.1-targeted macrophages and murine RCC tumors. Flow cytometry and single-cell RNA-sequencing will reveal the effects of PU.1 targeting on key immune cell phenotypes and key metrics of RCC outcomes. Results/Anticipated Results: PU.1 mRNA and protein expression are upregulated in human clear cell RCC tumors compared to normal kidney tissue. A 10-year overall survival analysis in clear cell RCC tumors indicates that increased PU.1 mRNA expression is unfavorable (p = 0.0298; HR = 1.24; N = 133/133). PU.1 inhibition in orthotopic RCC reduces tumor volume, compared to control (p = 0.0328; N = 5/5). NF-kB signaling effectors are upregulated in PU.1-inhibited macrophages, including canonical miR-146a targets. We anticipate that PU.1-targeted macrophages and RCC tumors will yield significant increases in NF-kB signaling, pro-inflammatory macrophage phenotypes, increased antitumor immunity, and reduced tumor volume. Discussion/Significance of Impact: This is the first study to address PU.1 upregulation in RCC and use multiple methods to examine a potential function of PU.1 in immunosuppressive macrophages and RCC immunity. This work also assesses the relevance of miR-146a on canonical, pro-inflammatory NF-kB signaling in the novel context of RCC tumor immunity.
Objectives/Goals: Hospital mergers have proliferated in the USA, yet a comprehensive understanding of how mergers affect nurses’ well-being and their ability to provide safe, high-quality care is lacking. We examined the associations among hospital mergers, nursing, nurse well-being, and patient safety and quality of care to guide policy or hospital interventions. Methods/Study Population: Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for scoping reviews reporting guidelines, we conducted a scoping review by systematically searching 10 databases comprised of both business and healthcare literature up to January 2025. Eligible studies met the following inclusion criteria: (1) US-based sample, (2) specify a hospital merger and one nursing-related criteria, (3) use empirical data, (4) peer-reviewed, and (5) in English. Conference abstracts, protocols, interventions, non-empirical studies, theses or dissertations, quality improvement, and systematic review articles were excluded. Two reviewers independently screened articles and extracted data to focus on empirical research that examined hospital mergers and nursing. Results/Anticipated Results: Our search yielded 1,772 articles; 10 met our inclusion criteria and were included in the analysis: 5 quantitative, 3 qualitative, and 2 multi-methods. Only three studies analyzed data from 2003 or later. Although the data were sparse and older, we found that hospital mergers introduced organizational changes among the nursing workforce – nurse staffing, leadership, and operations. Nurse-sensitive patient safety and quality of care outcomes may not improve post-merger. Qualitatively, nurses described poor communication, a perceived lack of trust in leadership, a loss of identity and unity, decreased morale, increased fear or uncertainty, and issues with equal and/or respectful treatment. The identified study methods were unable to draw strong causal and/or detailed conclusions, and few variables were examined. Discussion/Significance of Impact: This review highlights potential links between US hospital mergers and nursing, nurse well-being, and patient safety and quality of care and emphasizes the lack of robust, up-to-date studies to guide policymakers and hospital administrators in making informed decisions – potentially leading to negative consequences.
Objectives/Goals: We recently showed that a single dose of psilocybin, a serotonergic psychedelic, attenuated mechanical hypersensitivity for up to 28 days in a rat model of formalin-induced chronic centralized pain. The goal of this study is to determine whether psilocybin can alleviate chronic pain in a rat model of reserpine-induced chronic centralized pain. Methods/Study Population: Adult Sprague-Dawley rats (male=12, female=12) will be surgically equipped with a chronic indwelling catheter in jugular vein for the delivery of psilocybin. After 14 days of post-surgical recovery, rats will undergo Randall–Selitto testing to assess their baseline muscle pressure threshold. Thereafter, the rats will receive subcutaneous reserpine (1mg/kg) for three consecutive days, which depletes biogenic amines that have been reported to be reduced in fibromyalgia patients. The rats will be tested again on the Randall–Selitto assay on post-reserpine days 1, 3, 5, 7, 14, 21, and 28. One subgroup of the rats will receive intravenous psilocybin (1mg/kg) on post-reserpine day 4, while the other subgroup will receive intravenous saline. Results/Anticipated Results: We have completed data collection from four female rats which shows that compared to baseline, reserpine reduced muscle pressure threshold on post-reserpine days 1–21 (mean ± SD, day 1: -18.33%±7.26%, day 3: -15.05%±7.2%, day 5: -29.19%±3.75%, day 7: -19.64%±14.67%, day 14: -30.02%±10.14%, day 21: -14.95%±12.9%). On day 28, muscle pressure thresholds approached baseline levels (-8.12%±14.73%). These data show that we have successfully reproduced the reserpine model in our laboratory. Based on our previous study showing alleviation of mechanical hypersensitivity in formalin-treated rats after a single dose of intravenous psilocybin, we expect that psilocybin will shorten the duration of reserpine-induced mechanical hypersensitivity as compared to the rats receiving 0.9% saline as vehicle control. Discussion/Significance of Impact: These studies are expected to provide a neuroscientific foundation for the emerging use of serotonergic psychedelics as a potential treatment for chronic pain conditions, including fibromyalgia.
Objectives/Goals: We aim to determine whether inadequate sphingosine-1-phosphate (S1P) production in hyperglycemia is involved in deranged inflammatory response and host defense during methicillin-resistant Staphylococcus aureus (MRSA) skin infection. Methods/Study Population: Using a Phenome-Wide Association Study (PheWAS), we analyzed a disease-agnostic cohort of ~40,000 individuals to identify disease associations with SNPs in genes involved in the S1P pathway. RNA-seq data enabled comparison of key S1P-related genes in diabetic foot ulcer and non-ulcerated diabetic foot skin. For animal data, we infected euglycemic (EG) and hyperglycemic (HG) mice with MRSA and monitored infection resolution over 9 days. Biopsies were taken on days 1, 3, and 9, and S1P levels, lesion size, bacterial load, and cell death were assessed. To evaluate whether S1P can enhance clearance of dead cells/bacteria and promote healing, we treated mice with FTY720, an S1P agonist FDA-approved for multiple sclerosis Results/Anticipated Results: PheWAS analysis suggests that SGPL1 SNP rs111439207 has protective effects against MRSA infection (OR = 1.71, P = 0.0004) and type 1 diabetes (OR = 1.325,P = 0.003). The RNA-seq dataset revealed increased SGPL1 expression (an enzyme responsible for S1P degradation) in the skin of diabetic patients with foot ulcers. In animals, we show that infected HG mice develop larger lesions, higher bacterial loads, and poor abscess formation. We found a correlation between dead cell buildup and a lower ratio of ingested dead cells in the skin by macrophages of HG mice compared to EG mice. Topical S1P treatment decreased lesion size and bacterial load in HG mice. Discussion/Significance of Impact: Our data show increased expression of SGPL1 in diabetic patients. S1P deficiency during MRSA skin infection leads to tissue damage, uncontrolled bacterial growth, and poor resolution of the infection in mice. Topical treatment with S1P agonist is a promising therapeutic approach to enhance patient healing.
Objectives/Goals: Interdisciplinary collaboration drives innovation by uniting diverse knowledge and perspectives. Leaders play a crucial role in establishing psychological safety, upon which effective collaboration relies. This study developed a workshop to support leaders in fostering psychological safety on interdisciplinary translational teams. Methods/Study Population: Purposive sampling was used to recruit senior faculty members at a large Midwestern University from biomedical, clinical, and behavioral/social science fields. Eight senior faculty members were invited via email and all consented to participate (N=8). Our sample included associate professors (n=3) and professors (n=5), from pharmacy (n=5) and medicine and public health (n=3), with one jointly affiliated with Veterans Affairs. Semi-structured interviews were conducted via Zoom. Interviews explored the challenges and facilitators to creating psychologically safe environments. Thematic analysis was used to analyze the data. Coders utilized a combination of deductive and inductive coding to conceptualize, define, and name emergent themes. Results/Anticipated Results: Through our analysis we identified a framework that included three layers: leader mindset, leader behavior, and team culture. The leader mindset describes the mindset leaders hold to create psychologically safe environments, including values of openness to feedback and commitment to trust-building. Leader behavior describes the observable actions leaders adopt to translate their mindset into everyday practice, including empowering team members and modeling effective behavior. Finally, team culture describes the shared values, expectations, and mannerisms that enable team members to build and sustain psychologically safe teams. Discussion/Significance of Impact: This study highlights how leaders approach building and sustaining psychologically safe teams. Findings can inform leadership development efforts and practical strategies for leaders to adopt. Optimizing psychological safety on interdisciplinary translational teams may promote innovation, team performance, and resilient team cultures.
Objectives/Goals: Addressing institutional barriers for research using multicriteria ranking focusing on a top institutional barrier, difficulties in finding available resources and services to support research, using qualitative analysis technique by identifying, summarizing barriers contributing to this barrier, and recommending improvement strategies. Methods/Study Population: On an annual basis, we surveyed users who utilized CTSI services and resources regarding their level of satisfaction and the degree of various institutional barrier affecting their ability to conduct clinical and translational research. Using Multicriteria Ranking, the top barrier in 2021 and 2022 was difficulties in finding available resources and services to support research. We contacted each one of the consenting respondents who identified it as a top institutional barrier (n = 26) for interview. Out of 26, 10 individuals consented to be interviewed. We conducted one-on-one interviews following the individualized semi-structured interview methodology. We conducted thematic qualitative analysis to find common barriers and suggested mitigation strategies. Results/Anticipated Results: Using thematic analysis, six main themes were identified that contributed to difficulties in finding available resources and services to support research: Complexity of access and multi-institutional organizational structure, Finding knowledgeable assistance, Time delays, CTSA Hub operational difficulties, Non-CTSA Hub researcher difficulties, and Non-physician researcher difficulties. Once we synthesized and analyzed the themes, we reviewed the data and searched for suggestions researchers made. We identified and linked mitigations to each relevant theme. The mitigations ranged from implementation of concierge and tiered structured costing systems, as well as conducting follow-on process improvement project, and enhancing education. Discussion/Significance of Impact: Implementation of the thematically driven mitigation will increase awareness of CTSI programs and services and reduce a barrier to research, which will increase the speed of research. The use of our approach fosters continuous improvement environment by using mitigation that are based on users’ input, using a structured data-driven approach.
Objectives/Goals: Summarize literature on treatment outcomes among postpartum women with OUD. Describe a model Assessment, Decision, Adaptation, Production, Topical Experts, Integration, Training, and Testing (ADAPT-ITT) guiding the adaptation of Baby & Me. Assess preliminary effectiveness and implementation outcomes of the adapted version of Baby & Me. Methods/Study Population: We used the ADAPT-ITT model to tailor Baby & Me, a brief education and skills-based parenting program, for postpartum women receiving MOUD in the Women’s Mental Health Program (WMHP) at UAMS. Originally delivered for Women, Infants, & Children offices, Baby & Me targets parenting stress and well-being to prevent child abuse/neglect. Adaptations focused on the unique parenting-related needs of postpartum women receiving MOUD. We will pilot the adapted program with 10 participants, receiving care at the WMHP using a pre- and post-test design with surveys and interviews to assess preliminary effectiveness (i.e., perceived parenting stress, postpartum depression, and substance use) and implementation outcomes (acceptability, appropriateness, and feasibility). Results/Anticipated Results: We anticipate that participation in the Baby & Me program will be associated with reductions in perceived parenting stress, postpartum depression symptoms, and substance use from baseline to follow-up among postpartum parenting women with opioid use disorder. Qualitative interviews are expected to reveal that recipients find the intervention to be acceptable, appropriate, and feasible for delivery in outpatient treatment settings, yet inform further refinements prior to larger-scale testing. Discussion/Significance of Impact: Parenting programs in outpatient treatment settings can potentially improve maternal mental health, strengthen mother–infant bonds, and recovery outcomes. Yet most are home-based, lengthy, and cover a broad range of child developmental stages. Embedding brief, tailored programs into clinical care may boost acceptability and impact.
Objectives/Goals: The Wake Forest Clinical and Translational Science Institute (WF CTSI) provides resources such as services and tools for investigators. Due to the number of service users over the past six years, it has been a challenge to track usage and impact across the institution. Our goal is to create an internal dashboard to assist with tracking CTSI service usage. Methods/Study Population: The Dissemination, Implementation, and Continuous Quality Improvement (DICQI) team collaborated with members of the Service Programming team to develop an internal dashboard for tracking service usage. Service Programming team members sourced data from multiple systems, including the CTSI Service Request Form, CTSI Metrics Form, Profiles, and program-specific datasets. The PI Dashboard aggregates this data: service request and metrics form data are retrieved via the REDCap API, while publication data are queried from the Profiles database using Python’s pyodbc library. All collected data are parsed and stored in the dashboard’s internal database to support analytics and reporting functions. Results/Anticipated Results: Data pulled from multiple sources were integrated into a centralized internal dashboard for Wake Forest CTSI to review and evaluate metrics data such as service usage, program participation, and training/tool utilization. This CTSI service usage dashboard also was efficient for filtering data by dates, faculty researcher, or CTSI usage rate, which is helpful for reporting and long-term impact evaluation. This internal dashboard now will be integral in not only impact tracking but reporting for grant renewal periods of the Wake Forest CTSI. Discussion/Significance of Impact: A central database enables clear snapshots of WF CTSI impact, supporting long-term goals through strategic decision making, data quality, and collaboration. Understanding the broader impact of our CTSI is important for impact evaluation, reporting, and aligning with academic learning health system goals.
Objectives/Goals: The objective of my study is to examine the relationship between ultra-processed foods, sleep duration, and memory in adults aged 60 years and older. Diet and sleep are often studied independently as modifiable risk factors for cognitive decline; a growing body of evidence suggests a unique nexus between the two with regard to cognitive outcomes. Methods/Study Population: A cross-sectional analysis will be conducted using data from the National Health and Nutrition Examination Survey (NHANES) among participants aged 60 years and older from 2011 to 2014. The NOVA system, which classifies food according to the extent of processing, ranging from whole foods to ultra-processed foods, will be used to calculate dietary intake from two 24-hour recalls. Sleep duration will be analyzed using self-reported average hours of sleep per night, and cognitive performance will be evaluated using word recall and verbal fluency tests. Food insecurity, socioeconomic status, education, and race/ethnicity will be analyzed as covariates. Descriptive and multivariable regression analysis will be used to assess statistical associations. Results/Anticipated Results: As ultra-processed foods cause oxidative stress and neuroinflammation, higher consumption of these foods, which are high in fat, sodium, and sugar, is anticipated to be associated with shorter sleep duration and poor memory performance. A dose-response relationship is predicted. These associations are expected to be exacerbated in food-insecure environments, where ultra-processed foods are readily accessible, particularly among individuals with lower socioeconomic status. Data may also reveal differences based on race/ethnicity or educational attainment, highlighting important disparities in the social determinants of health. The study is expected to reveal trends in sleep inequity, where economic disadvantages and food insecurity contribute to shorter sleep durations. Discussion/Significance of Impact: This study seeks to identify modifiable behavioral risk factors for cognitive decline, particularly for older adults. By uncovering how diet and sleep interact to influence brain health, this study can guide practical interventions, such as nutrition and sleep education, to slow cognitive decline and improve quality of life for aging adults.
Objectives/Goals: This study aimed to develop and validate the Black Wealth-Health Framework, a community-derived model that integrates behavioral, cultural, and structural dimensions to explain and intervene on the relationship between wealth and health among Black individuals. Methods/Study Population: Using a community participatory approach, we conducted semi-structured interviews and focus groups with 40 Black adults across diverse life contexts. Grounded theory and thematic analysis guided data collection and synthesis. Participants explored how they define and experience wealth and health across physical, emotional, mental, and spiritual domains; identified culturally grounded strategies for maintaining well-being; and described interactions with structural systems such as housing, employment, and healthcare. Results/Anticipated Results: Preliminary findings reveal that Black adults conceptualize wealth and health as multidimensional, intergenerational, and deeply relational. Themes include the centrality of cultural wealth such as mutual aid, spirituality, and community care, the burden of structural barriers, and the embodied stress of economic exclusion. These insights informed a conceptual and visual model linking systemic inequity, cultural resilience, and health outcomes. Discussion/Significance of Impact: The Black Wealth-Health Framework bridges public health, economic justice, and cultural resilience to guide clinical, community, and policy interventions that reflect the lived experiences of Black people. Translating this framework into practice offers a pathway toward wealth-health equity.
Objectives/Goals: Ongoing engagement between community and health organizations is key to improving perinatal health outcomes. The San Francisco Pregnancy Family Village partnered with Streetwyze, an online private community platform, to share real-time experiences and feedback with organizations and enhance continuous engagement between events. Methods/Study Population: We are using a mixed-methods design combining platform analytics, community focus groups, and surveys to evaluate feasibility, acceptability, and early impact of the Streetwyze platform. Measures include frequency and type of engagement, perceived enablers and barriers to use, and indicators of trust and communication between community members and organizations. Enrollment onto the platform will initially focus on Black pregnant and postpartum San Francisco residents and SFPFV partnering organizations. Our evaluation group will include Streetwyze adopters and non-adopters to assess differential uptake and experiences. Data will inform additional iterations of platform design and implementation. Results/Anticipated Results: Early implementation data from August and October 2025 suggests strong organizational and community interest and engagement (n=25), with feedback that highlight the need for clear communication roles and expectations, robust data security and privacy measures, and a culturally reflective platform design. Ongoing analysis will explore how these factors influence acceptability and how digital platforms can function as a communication tool and mechanism for community to navigate perinatal services. We aim to demonstrate how Streetwyze can strengthen organizational accountability to improve care access and delivery for underserved pregnant and postpartum San Francisco residents. Discussion/Significance of Impact: This study demonstrates how Streetwyze, a community-centered digital platform, can be adopted and promote communication and trust between community members and organizations. This can inform future strategies to achieve equitable pregnancy care outcomes through digital community engagement.
Objectives/Goals: We aim to develop new tissue-engineered ear tissue that more closely mimics native elastic cartilage and maintains its topographic form for reconstructive auricular surgery. By integrating decellularized cartilage (DCM) into chondrocyte-seeded collagen matrices, we seek to improve structural stability to support future clinical translation. Methods/Study Population: Bovine auricular chondrocytes were isolated via enzymatic digestion, expanded to passage 3, and encapsulated at 25 million cells/mL into four construct formulations composed of 1% type I collagen mixed with varying amounts of DCM: (1) 100% collagen, (2) 70% collagen + 30% DCM, (3) 40% collagen + 60% DCM, and (4) 10% collagen + 90% DCM. DCM was prepared by zesting ovine rib cartilage into ~0.5 mm³ flakes, followed by chemical and enzymatic decellularization. Constructs were packed into 3D-printed scaffolds and cultured for 0, 1, or 2 months. At each timepoint, constructs were assessed for gross volume, volume retention (normalized to baseline), and angle at the dome–base interface as a geometric surrogate for shape retention. Histology evaluated cell distribution and cartilage-specific matrix deposition. Results/Anticipated Results: At baseline, volumes were comparable across groups. By 1 and 2 months, constructs with higher DCM content yielded significantly greater volume retention. At 2 months, mean retention in the 90% DCM group was 94.0%±6.2%, compared to 64.7%±4.1% in 30% DCM (p<0.01) and 74.7%±5.9% in 0% DCM (p<0.05). Angle analysis likewise showed that higher DCM preserved sharper dome–base curvature. Mean angle change at 2 months was 3.0°±3.6° in 90% DCM versus 17.6°±5.7° (70% DCM, p<0.01), 16.3°±5.7° (30% DCM, p<0.05), and 21.6°±8.1° (0% DCM, p<0.001). In all groups, histology confirmed chondrocyte viability, and inclusion of DCM did not hinder cell distribution in collagen. These findings suggest DCM reinforces construct stability, and we anticipate similar volume and shape retention in upcoming in vivo rat studies. Discussion/Significance of Impact: Incorporating DCM improves in vitro form retention in bioengineered ear cartilage without impeding cell viability, suggesting DCM can act as an internal rebar to resist contraction and preserve geometry. By continuing to advance this construct translationally, next in vivo, we aim to enable its eventual use in clinical ear reconstruction.
Objectives/Goals: This poster presents a landscape analysis of UM1 CTSI community engagement (CE) programs. The University of Michigan (U-M) CTSI, CE team compared services and supports across 27 UM1 CTSIs to identify best practices, unique offerings, and potential models to adopt or adapt to strengthen support for community engaged research (CEnR) at U-M. Methods/Study Population: UM1 websites (n=27) were reviewed to assess publicly available information on CE supports, with focus on CTSIs CE cores. Key elements analyzed included missions, advisory structures, service portfolios, funding and training opportunities, and digital accessibility. Attention was given to how CE cores foster bidirectional learning, build trust, lower barriers to collaboration, and sustain networks – all essential for advancing translational science. Findings and recommendations were compiled to inform possible improvements and new strategies for the Michigan Institute for Clinical and Health Research (MICHR), CE program. Results/Anticipated Results: All CTSIs reviewed operated a CE core, with common offerings in funding and translating science to impact. Over 90% featured community engagement studios; less than 20% charged fees for services. Most (70%) used community advisory boards (CABs) to guide the overall CTSI. Additional services include consultations, matchmaking, and capacity-building to create bridges from early-stage research proposal development through results with real-world impact. Several innovative external models were identified along with unique MICHR offerings.#_msocom_1 Discussion/Significance of Impact: This analysis highlights the diversity and commonalities of CE services across UM1 CTSIs, reveals limitations due to online data availability, and identifies opportunities for MICHR to adopt or adapt external best practices to better support community-engaged research and translational science.
Objectives/Goals: The need for accessible medical information has never been greater. Existing research and clinical documents are often too complex for the public to understand. This study aimed to evaluate the use of AI algorithms to convert research and clinical materials into language that is more easily understood while maintaining accuracy and informativeness. Methods/Study Population: We abstracted 21 half-page texts from informed consents, clinical documents, abstracts, and health-related websites. Each original text was then rewritten using 3 AI algorithms (resulting in 63 new, rewritten texts). Participants were given a set of 3 randomly selected surveys. Each survey contained the original text and an AI-rewritten text. Participants were then asked to answer 5 questions using a Likert scale 1-5 about the readability, clarity, and content of the two texts, their overall score of the new text, and which text they preferred. The study was IRB-approved. Participants were given a $10 gift card. Results/Anticipated Results: 68 participants (69.6% non-white, 65.2% female, mean age 58.3) completed the study task. 3 AI Algorithms were tested: * ConBART [Cripwell 2023]: context-aware method for text simplification * UL+Decoder [Flores 2023]: Flesh-Kincaid readability-driven method for text simplification * UBclear [House-made]: Iteratively improves readability with self-correction and retrieval-augmented generation. ConBART and UL+Decoder scored similarly across readability, clarity, and detail-fidelity metrics, but were preferred over original texts less than 50% of the time. UBclear scored higher in readability, clarity, detail, and overall score. Importantly, UBclear text was preferred over the original text 80% of the time, showing stronger alignment with human judgments of clarity, readability, and fidelity. Discussion/Significance of Impact: Our pilot study shows that AI can simplify existing research and medical care documents, potentially contributing to inclusivity and transparency in research and clinical care. “UBclear” was superior to the other 2 AI methodologies in readability, accessibility, and clarity while also being preferred over original texts and competing AI versions.
Objectives/Goals: To evaluate the effectiveness of multiple grant writing support services – including workshops, one-on-one mentoring, and grant pre-review – in improving faculty success in securing research funding. Methods/Study Population: The study included junior faculty participating in the R Club Grant Program – a grant development program to assist junior faculty in the preparation of their first research grant proposal – within the University of Cincinnati College of Medicine (UC COM) and the Center for Clinical & Translational Science & Training (CCTST), as well as UC COM faculty who engaged in one-on-one mentoring, workshops, or the Grant Pre-Review Program. Data on participation, satisfaction, and grant submission outcomes were collected and analyzed to assess the impact of each grant writing support service. Results/Anticipated Results: More than 100 investigators participated in R Club Grant Program workshops and received supplemental grant development materials. Comprehensive support – including workshops, mentoring, and pre-review – has contributed to successful funding across multiple NIH mechanisms (K23, R01, R03, R21, R35, and R56). Based on positive participant feedback, future expansion will include online and on-demand resources to enhance accessibility to grant writing webinars and training materials. Discussion/Significance of Impact: Comprehensive grant writing support improves faculty preparedness and funding success. Expanding to online and on-demand formats will broaden access, promote equity in research training, and strengthen institutional grant competitiveness.
Objectives/Goals: Implementation strategies to improve clinical trial recruitment exist yet training opportunities for successful recruitment are limited. Using the translational science promotion and research capacity (T-SPARC) framework, we developed and evaluated an educational intervention to increase use of recruitment science in translational research Methods/Study Population: We conducted focus groups with investigators and trainees (n=10) involved in CTSA programming at the University of Wisconsin–Madison. Focus groups explored participants’ experiences with study recruitment and their perceptions of recruitment strategies associated with implementation science. Data analysis was organized around identifying themes to inform a capacity-building recruitment science short course. The short course development was aligned with T-SPARC and featured interactive sessions on applying implementation science to successful recruitment, with real-world examples and community expert input. Following the course, we collected and analyzed post-survey data from attendees (n=168) regarding their changes in recruitment science knowledge due to participation in the short course. Results/Anticipated Results: Most focus group participants were unfamiliar with recruitment science, though some described applying related concepts such as partnering with community members in research. All participants expressed a need for ongoing support and training in recruitment science, including workshops, mentoring, and consultation. This indicated a need for training in translational science, specifically recruitment science, as the mechanism of change. Following the short course that was developed based on these focus group findings, attendees showed a significant increase in how to use recruitment science strategies (Z = −4.87, p < .001) and understanding of how implementation science can promote effective recruitment of research participants (Z = −4.45, p < .001). Discussion/Significance of Impact: There is need and interest in capacity-building for effective recruitment and implementation science strategies among investigators, and these needs can be met through activities like the implementation science short course. Building capacity in this area enhances research rigor, collaboration, and the translational impact of clinical trials.
Objectives/Goals: The team science professional digital badge initiative aims to build a high-quality, expert-reviewed collection of team science education and training resources that are aligned with key clinical and translational science competencies and integrated with a microcredential from the Association for Clinical and Translational Sciences (CTS). Methods/Study Population: We are initiating a structured process to solicit TS education and training resources from diverse stakeholders in the fields of Team Science (TS), Interdisciplinary Collaboration, and CTS. Using the Team Science Toolkitting Model, resources will be reviewed for alignment with the five domains of CTS competencies (facilitating team affect, communication, research management, collaborative problem-solving, and leadership). The ITD Alliance toolkit inventory will serve as a model for comprehensive coverage and interoperability. Approaches to remove roadblocks to knowledge integration will be prioritized, including epistemic inclusivity, boundary spanning, and shared mental models, for resource selection and peer review. Results/Anticipated Results: We anticipate assembling a curated collection of resources spanning all CTS competency domains, with explicit mapping to individual and team competencies. Peer review of resources will ensure quality, relevance, and adaptability for digital badge requirements. By linking these resources to a digital badge credential, learners will be able to demonstrate applied skills in interdisciplinary collaboration. The process aims to reinforce best practices for curation of team science education and training, maintenance, and scholarship and develop strategies for overcoming conceptual and methodological barriers to knowledge integration in translational teams. Results will be reported at the conference. Discussion/Significance of Impact: This ongoing project will advance team science education through competency-based training, cross-disciplinary collaboration, and integrated knowledge. It will develop a training resource collection and showcase a reproducible model for strengthening the field and profession of team science.