National Consortium Research Articles

Dental Coverage for Medicare Beneficiaries.

Poor oral health has been associated with various systemic diseases (e.g., endocarditis, pneumonia, cardiovascular disease, and diabetes) and decreased quality of life. When enacted in 1965, Medicare excluded coverage for comprehensive dental services. As of 2023, Medicare has allowed coverage of limited dental services inextricably linked to specific medical conditions. Many Medicare Advantage plans (Medicare Part C) offer dental coverage. Yet in 2019, approximately 24 million Medicare beneficiaries (47% of all Medicare enrollees), lacked dental coverage. Seventy-one percent of traditional Medicare enrollees (those not enrolled in a Medicare Advantage Plan) reported that high cost was the primary reason that they did not obtain dental care. The importance of oral health for the older adults has been the main reason that a national interprofessional consortium, which includes several national nursing organizations, has been advocating for legislation to expand Medicare to include dental coverage. The consortium's efforts have been thwarted by fierce opposition from the American Dental Association and many Republican legislators. Given the vital role that nurses and advanced practice nurses play in caring for the nation's older adults and disabled, nursing's voice needs to be strengthened as leaders in advocating for inclusion of dental benefits in traditional Medicare.

Building a Consortium to Address Graduate Nursing Student Academic Preparedness.

The demand for nurses in advanced practice roles is expected to grow by 38% by 2032. The nationwide faculty shortage is also a concern, as it correlates to the nursing shortage. Successful retention strategies for graduate nursing students can strengthen the rising demand of specialized nursing roles. The transition from clinical practice to the graduate student environment can be daunting to some practicing nurses who may struggle with program completion. It is well documented that graduate nursing students lack academic preparation for the rigorous scholarly work. A national onboarding consortium of graduate nursing faculty was formed to meet regularly and utilize a model onboarding program to address graduate nursing students' academic preparedness. Structured onboarding programs show promising results. The programs were easily adopted to support students from various backgrounds and regions within the United States. Benefits of forming a consortium to address a national issue were evident.

Learning from COVID-19: strengthening Australia's research capacity through preparedness and collaboration.

The coronavirus disease 2019 (COVID-19) pandemic has highlighted that preparedness for and responsiveness to pandemics requires public health platforms and processes which are nimble and evidence-based and a research ecosystem which is rapidly responsive to the evolving needs of society and decision-makers. The national BEAT COVID-19 research consortium was funded in 2020 by the Snow Medical Research Foundation (Snow Medical). Its Expert Advisory Committee met with the consortium post-pandemic to summarise the research undertaken and to consider lessons learned through the research response to COVID-19 in Australia. The panel observed that philanthropy offered an important 'kick-starter' funding mechanism for urgent research, which facilitated leveraging of additional funds. It further agreed that research requirements for strengthening Australia's pandemic preparedness and response include: (1) development of a national health and medical research strategy for pandemic research; (2) long-term investment in pre-established research partnerships and networks; (3) systemic procedural improvements, e.g. in ethics, governance and resource allocation; (4) responsive funding mechanisms including philanthropy; and (5) integration of research outputs into health practice and decision-making, as illustrated in Figure 1.

Contrasting topologies of synchronous and asynchronous functional brain networks

ABSTRACT We generated asynchronous functional networks (aFNs) using a novel method called optimal causation entropy and compared aFN topology with the correlation-based synchronous functional networks (sFNs), which are commonly used in network neuroscience studies. Functional magnetic resonance imaging (fMRI) time series from 212 participants of the National Consortium on Alcohol and Neurodevelopment in Adolescence study were used to generate aFNs and sFNs. As a demonstration of how aFNs and sFNs can be used in tandem, we used multivariate mixed effects models to determine whether age interacted with node efficiency to influence connection probabilities in the two networks. After adjusting for differences in network density, aFNs had higher global efficiency but lower local efficiency than the sFNs. In the aFNs, nodes with the highest outgoing global efficiency tended to be in the brainstem and orbitofrontal cortex. aFN nodes with the highest incoming global efficiency tended to be members of the default mode network in sFNs. Age interacted with node global efficiency in aFNs and node local efficiency in sFNs to influence connection probability. We conclude that the sFN and aFN both offer information about functional brain connectivity, which the other type of network does not.

Access for ALL in ALS: A large-scale, inclusive, collaborative consortium to unlock the molecular and genetic mechanisms of amyotrophic lateral sclerosis.

Recent progress in therapeutics for amyotrophic lateral sclerosis (ALS) has spurred development and imbued the field of ALS with hope for more breakthroughs, yet substantial scientific gaps persist. This unmet need remains a stark reminder that innovative paradigms are needed to invigorate ALS research. To move toward more informative, targeted, and personalized drug development, the National Institutes of Health (NIH) established a national ALS clinical research consortium called Access for ALL in ALS (ALL ALS). This new consortium is a multi-institutional effort that aims to organize the ALS clinical research landscape in the United States. ALL ALS is operating in partnership with several stakeholders to operationalize the recommendations of the Accelerating Access to Critical Therapies for ALS Act (ACT for ALS) Public Private Partnership. ALL ALS will provide a large-scale, centralized, and readily accessible infrastructure for the collection and storage of a wide range of data from people living with ALS (symptomatic cohort) or who may be at risk of developing ALS (asymptomatic ALS gene carriers). Importantly, ALL ALS is designed to encourage community engagement, equity, and inclusion. The consortium is prioritizing the enrollment of geographically, ethnoculturally, and socioeconomically diverse participants. Collected data include longitudinal clinical data and biofluids, genomic, and digital biomarkers that will be harmonized and linked to the central Accelerating Medicines Partnership for ALS (AMP ALS) portal for sharing with the research community. The aim of ALL ALS is to deliver a comprehensive, inclusive, open-science dataset to help researchers answer important scientific questions of clinical relevance in ALS.

A longitudinal study of the relationship between alcohol-related blackouts and attenuated structural brain development

PurposeAlcohol-related blackouts (ARBs) are common in adolescents and emerging adults. ARBs may also be indicative of persistent, alcohol-related neurocognitive changes. This study explored ARBs as a predictor of altered structural brain development and associated cognitive correlates. MethodsLongitudinal growth curve modeling estimated trajectories of brain volume across 6 years in participants from the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study (n = 800, 213 with lifetime ARB history). While controlling for demographics and overall alcohol use, ARB history was analyzed as a predictor of brain volume growth in regions associated with alcohol-related cognitive change. Post hoc analyses examined whether ARBs moderated relationships between brain morphology and cognition. ResultsARBs significantly predicted attenuated development of fusiform gyrus and hippocampal volume at unique timepoints compared to overall alcohol use. Alcohol use without ARBs significantly predicted attenuated fusiform and hippocampal growth at earlier and later timepoints, respectively. Despite altered development in regions associated with memory, ARBs did not significantly moderate relationships between brain volume and cognitive performance. ConclusionARBs and overall alcohol use predicted altered brain development in the fusiform gyrus and hippocampus at different timepoints, suggesting ARBs represent a unique marker of neurocognitive risk in younger drinkers.

Biological sex and BMI influence the longitudinal evolution of adolescent and young adult MRI-visible perivascular spaces.

An association recently emerged between magnetic resonance imaging (MRI)-visible perivascular spaces (MV-PVS) with intracerebral solute clearance and neuroinflammation, in adults. However, it is unknown how MV-PVS change throughout adolescence and what factors influence MV-PVS volume and morphology. This study assesses the temporal evolution of MV-PVS volume in adolescents and young adults, and secondarily evaluates the relationship between MV-PVS, age, sex, and body mass index (BMI). This analysis included a 783 participant cohort from the longitudinal multicenter National Consortium on Alcohol and Neurodevelopment in Adolescence study that involved up to 6 imaging visits spanning 5 years. Healthy adolescents aged 12-21 years at study entry with at least two MRI scans were included. The primary outcome was mean MV-PVS volume (mm 3 /white matter cm 3 ). On average, males had greater MV-PVS volume at all ages compared to females. A linear mixed-effect model for MV-PVS volume was performed. Mean BMI and increases in a person's BMI were associated with increases in MV-PVS volume over time. In females only, changes in BMI correlated with MV-PVS volume. One unit increase in BMI above a person's average BMI was associated with a 0.021 mm 3 /cm 3 increase in MV-PVS volume (p<0.001). This longitudinal study showed sex differences in MV-PVS features during adolescence and young adulthood. Importantly, we report that increases in BMI from a person's mean BMI are associated with increases in MV-PVS volume in females only. These findings suggest a potential link between MV-PVS, sex, and BMI that warrants future study.

Trauma’s distinctive and combined effects on subsequent substance use, mental health, and neurocognitive functioning with the NCANDA sample

PurposeTraumatic brain injury (TBI) and potentially traumatic events (PTEs) contribute to increased substance use, mental health issues, and cognitive impairments. However, there's not enough research on how TBI and PTEs combined impact mental heath, substance use, and neurocognition. MethodsThis study leverages a subset of The National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) multi-site dataset with 551 adolescents to assess the combined and distinctive impacts of TBI, PTEs, and TBI+PTEs (prior to age 18) on substance use, mental health, and neurocognitive outcomes at age 18. ResultsTBI, PTEs, and TBI+PTEs predicted greater lifetime substance use and past-year alcohol and cannabis use. PTEs predicted greater internalizing symptoms, while TBI+PTEs predicted greater externalizing symptoms. Varying effects on neurocognitive outcomes included PTEs influencing attention accuracy and TBI+PTEs predicting faster speed in emotion tasks. PTEs predicted greater accuracy in abstraction-related tasks. Associations with working memory were not detected. ConclusionThis exploratory study contributes to the growing literature on the complex interplay between TBI, PTEs, and adolescent mental health, substance use, and neurocognition. The developmental implications of trauma via TBIs and/or PTEs during adolescence are considerable and worthy of further investigation.

Multi-dimensional predictors of first drinking initiation and regular drinking onset in adolescence: A prospective longitudinal study

Early adolescent drinking onset is linked to myriad negative consequences. Using the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) baseline to year 8 data, this study (1) leveraged best subsets selection and Cox Proportional Hazards regressions to identify the most robust predictors of adolescent first and regular drinking onset, and (2) examined the clinical utility of drinking onset in forecasting later binge drinking and withdrawal effects. Baseline predictors included youth psychodevelopmental characteristics, cognition, brain structure, family, peer, and neighborhood domains. Participants (N=538) were alcohol-naïve at baseline. The strongest predictors of first and regular drinking onset were positive alcohol expectancies (Hazard Ratios [HRs]=1.67–1.87), easy home alcohol access (HRs=1.62–1.67), more parental solicitation (e.g., inquiring about activities; HRs=1.72–1.76), and less parental control and knowledge (HRs=.72–.73). Robust linear regressions showed earlier first and regular drinking onset predicted earlier transition into binge and regular binge drinking (βs=0.57–0.95). Zero-inflated Poisson regressions revealed that delayed first and regular drinking increased the likelihood (Incidence Rate Ratios [IRR]=1.62 and IRR=1.29, respectively) of never experiencing withdrawal. Findings identified behavioral and environmental factors predicting temporal paths to youthful drinking, dissociated first from regular drinking initiation, and revealed adverse sequelae of younger drinking initiation, supporting efforts to delay drinking onset.

Contrasting topologies of synchronous and asynchronous functional brain networks.

We generated asynchronous functional networks (aFNs) using a novel method called optimal causation entropy (oCSE) and compared aFN topology to the correlation-based synchronous functional networks (sFNs) which are commonly used in network neuroscience studies. Functional magnetic resonance imaging (fMRI) time series from 212 participants of the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) study were used to generate aFNs and sFNs. As a demonstration of how aFNs and sFNs can be used in tandem, we used multivariate mixed effects models to determine whether age interacted with node efficiency to influence connection probabilities in the two networks. After adjusting for differences in network density, aFNs had higher global efficiency but lower local efficiency than the sFNs. In the aFNs, nodes with the highest outgoing global efficiency tended to be in the brainstem and orbitofrontal cortex. aFN nodes with the highest incoming global efficiency tended to be members of the Default Mode Network (DMN) in sFNs. Age interacted with node global efficiency in aFNs and node local efficiency in sFNs to influence connection probability. We conclude that the sFN and aFN both offer information about functional brain connectivity which the other type of network does not.

Endogenous and exogenous effects in self‐exciting process models of terrorist activity

A model based on the cluster process representation of the self‐exciting process model is derived to allow for variation in the excitation effects for terrorist events in a self‐exciting or cluster process model. The model's derivation and implementation details are given and applied to data from the Global Terrorism Database (National Consortium for the Study of Terrorism and Responses to Terrorism (START), 2015) from 2000 to 2013. Results regarding the practical interpretation and implications for a theoretical model paralleling existing criminological theory are discussed.

Experiences and lessons learned from a patient-engagement service established by a national research consortium in the U.S. Veterans Health Administration.

Meaningful engagement of patients in the research process has increased over the past 20 years. Few accounts are available of engagement infrastructure and processes used by large research organizations. The Pain/Opioid Consortium of Research (Consortium) is a U.S. Department of Veterans Affairs (VA) research network that provides infrastructure to accelerate health research and implementation of evidence-based health care. The Consortium's key activities include facilitating Veteran-engaged research and building community between Veterans and VA researchers. This report sought to describe experiences and lessons learned from the first 3 years of a national research engagement service, featuring a Veteran Engagement (VE) Panel, established by the Consortium. We gathered authors' experiences to describe development and operation of the Consortium's VE Panel. Engagement staff collected program evaluation data about partners (Veterans and researchers), projects about which the VE Panel consulted, and meeting attendance during operation of the engagement service. We created a 12-member VE Panel; all of whom had lived experience with chronic pain, prescription opioid medication use, or opioid use disorder. Engagement staff and VE Panel members implemented an engagement service operational model designed to continuously learn and adapt. The panel consulted on 48 projects spanning the research process. Seventy-eight percent of panel members, on average, attended each monthly meeting. VE Panel members and participating researchers reported high satisfaction with the quality, ease, and outcomes of their engagement service experiences. This work provides an illustrative example of how a national research consortium facilitated Veteran-engaged research and built community between Veterans and VA researchers by developing and operating an ongoing engagement consulting service, featuring a VE Panel. The service, designed as a learning community, relied on skilled engagement staff to cultivate high quality experiences and outcomes for all partners.

Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario.

Purpose To develop, externally test, and evaluate clinical acceptability of a deep learning pediatric brain tumor segmentation model using stepwise transfer learning. Materials and Methods In this retrospective study, the authors leveraged two T2-weighted MRI datasets (May 2001 through December 2015) from a national brain tumor consortium (n = 184; median age, 7 years [range, 1-23 years]; 94 male patients) and a pediatric cancer center (n = 100; median age, 8 years [range, 1-19 years]; 47 male patients) to develop and evaluate deep learning neural networks for pediatric low-grade glioma segmentation using a stepwise transfer learning approach to maximize performance in a limited data scenario. The best model was externally tested on an independent test set and subjected to randomized blinded evaluation by three clinicians, wherein they assessed clinical acceptability of expert- and artificial intelligence (AI)-generated segmentations via 10-point Likert scales and Turing tests. Results The best AI model used in-domain stepwise transfer learning (median Dice score coefficient, 0.88 [IQR, 0.72-0.91] vs 0.812 [IQR, 0.56-0.89] for baseline model; P = .049). With external testing, the AI model yielded excellent accuracy using reference standards from three clinical experts (median Dice similarity coefficients: expert 1, 0.83 [IQR, 0.75-0.90]; expert 2, 0.81 [IQR, 0.70-0.89]; expert 3, 0.81 [IQR, 0.68-0.88]; mean accuracy, 0.82). For clinical benchmarking (n = 100 scans), experts rated AI-based segmentations higher on average compared with other experts (median Likert score, 9 [IQR, 7-9] vs 7 [IQR 7-9]) and rated more AI segmentations as clinically acceptable (80.2% vs 65.4%). Experts correctly predicted the origin of AI segmentations in an average of 26.0% of cases. Conclusion Stepwise transfer learning enabled expert-level automated pediatric brain tumor autosegmentation and volumetric measurement with a high level of clinical acceptability. Keywords: Stepwise Transfer Learning, Pediatric Brain Tumors, MRI Segmentation, Deep Learning Supplemental material is available for this article. © RSNA, 2024.

Perspectives and Awareness of Environmental Sustainability in the Infection Prevention and Control Community Nationally

Background: Healthcare contributes significantly to waste production and greenhouse gas emissions. This became especially apparent during the COVID-19 pandemic. Yet there is modest recognition of this issue, particularly within decision-making in Infection Prevention and Control (IPC). The aim of our study was to gauge general knowledge and attitudes of hospital epidemiologists (HEs) and infection preventionists (IPs) around the intersection of environmental sustainability and IPC, and to identify related institutional practices. Methods: An online survey, composed of ten questions related to environmental sustainability in IPC, was created and emailed to members of the SHEA Research Network (SRN), a national consortium of healthcare facilities collaborating on IPC research, from August - October 2023. Survey answers were collated via Redcap© and descriptive results were obtained. Results: Forty-two individuals (33 HEs, 7 directors of IPC, and 2 IPs) from unique institutions completed the survey. Thirty (71.4%) were from academic medical centers, 5 (11.9%) were from VA medical centers and 7 (16.7%) were from community hospitals. Over half of participants correctly estimated the amount of waste and carbon emissions produced annually by the US healthcare system (6 million tons and 8.5% of national emissions, respectively). However, only 42.9% considered environmental sustainability concerns important or very important when making IPC decisions. Fifteen (34.9%) had an environmental sustainability committee at their institution and of these, 8 had an established relationship with the IPC department. The most common techniques to promote sustainability amongst institutions were water/energy conservation (59.5%), reusable personal protective equipment (52.4%) and Leadership in Energy and Environmental Design (LEED) certification (47.6%). When asked which efforts they would support at their institution, 28.6% would eliminate the use of single-use endoscopes and one third would avoid use of ethylene oxide for sterilization. In deciding whether to support environmental sustainability measures, key considerations participants articulated were patient safety concerns, knowledge about effectiveness and costs, and administrative support. Conclusion: Although there is growing awareness around the contribution of the healthcare industry to carbon emissions and waste production, IPC professionals have not yet universally adopted measures to promote environmental sustainability. In our survey, many participants acknowledged the importance of balancing patient safety and sustainability concerns. Our study demonstrates the need for more research and education to inform decisions around environmentally sustainable efforts in IPC that also preserve patient safety. Additionally, professional and regulatory bodies must acknowledge and promote the importance of environmental sustainability in IPC decision-making.

Identifying high school risk factors that forecast heavy drinking onset in understudied young adults

Heavy alcohol drinking is a major, preventable problem that adversely impacts the physical and mental health of US young adults. Studies seeking drinking risk factors typically focus on young adults who enrolled in 4-year residential college programs (4YCP) even though most high school graduates join the workforce, military, or community colleges. We examined 106 of these understudied young adults (USYA) and 453 4YCPs from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) by longitudinally following their drinking patterns for 8 years from adolescence to young adulthood. All participants were no-to-low drinkers during high school. Whereas 4YCP individuals were more likely to initiate heavy drinking during college years, USYA participants did so later. Using mental health metrics recorded during high school, machine learning forecasted individual-level risk for initiating heavy drinking after leaving high school. The risk factors differed between demographically matched USYA and 4YCP individuals and between sexes. Predictors for USYA drinkers were sexual abuse, physical abuse for girls, and extraversion for boys, whereas 4YCP drinkers were predicted by the ability to recognize facial emotion and, for boys, greater openness. Thus, alcohol prevention programs need to give special consideration to those joining the workforce, military, or community colleges, who make up the majority of this age group.

Modeling intra-individual inter-trial EEG response variability in autism.

Autism spectrum disorder (autism) is a prevalent neurodevelopmental condition characterized by early emerging impairments in social behavior and communication. EEG represents a powerful and non-invasive tool for examining functional brain differences in autism. Recent EEG evidence suggests that greater intra-individual trial-to-trial variability across EEG responses in stimulus-related tasks may characterize brain differences in autism. Traditional analysis of EEG data largely focuses on mean trends of the trial-averaged data, where trial-level analysis is rarely performed due to low neural signal to noise ratio. We propose to use nonlinear (shape-invariant) mixed effects (NLME) models to study intra-individual inter-trial EEG response variability using trial-level EEG data. By providing more precise metrics of response variability, this approach could enrich our understanding of neural disparities in autism and potentially aid the identification of objective markers. The proposed multilevel NLME models quantify variability in the signal's interpretable and widely recognized features (e.g., latency and amplitude) while also regularizing estimation based on noisy trial-level data. Even though NLME models have been studied for more than three decades, existing methods cannot scale up to large data sets. We propose computationally feasible estimation and inference methods via the use of a novel minorization-maximization (MM) algorithm. Extensive simulations are conducted to show the efficacy of the proposed procedures. Applications to data from a large national consortium find that children with autism have larger intra-individual inter-trial variability in P1 latency in a visual evoked potential (VEP) task, compared to their neurotypical peers.

Beyond Transformative Agreements: Ways Forward for Universities

This article deals with the transition to open access in Sweden, as part of the general transition to open science. Goals set by the Parliament and the government are discussed, as well as the strategies of the national Bibsam consortium, handling national deals with publishers, and of the Swedish Association of Higher Education Institutions. The development from the first stages in this process, where a main goal was to gain cost control, over a period with read-and-publish agreements to a situation where transformative agreements seem to tend to become permanent, is analysed. Finally, a number of possible scenarios for future developments are discussed, arguing for the need for university leadership to take an active part in the work towards a transition; it is not only an issue for individual researchers, or for librarians, but for the research community as a whole where universities are key players.

Implementation and Evaluation of a Bystander Naloxone Training Course.

Bystander provision of naloxone is a key modality to reduce opioid overdose-related death. Naloxone training courses are available, but no standardized program exists. As part of a bystander empowerment course, we created and evaluated a brief naloxone training module. This was a retrospective evaluation of a naloxone training course, which was paired with Stop the Bleed training for hemorrhage control and was offered to administrative staff in an office building. Participants worked in an organization related to healthcare, but none were clinicians. The curriculum included the following topics: 1)background about the opioid epidemic; 2)how to recognize the signs of an opioid overdose; 3)actions not to take when encountering an overdose victim; 4)the correct steps to take when encountering an overdose victim; 5)an overview of naloxone products; and 6)Good Samaritan protection laws. The 20-minute didactic section was followed by a hands-on session with nasal naloxone kits and a simulation mannequin. The course was evaluated with the Opioid Overdose Knowledge (OOKS) and Opioid Overdose Attitudes (OOAS) scales for take-home naloxone training evaluation. We used the paired Wilcoxon signed-rank test to compare scores pre- and post-course. Twenty-eight participants completed the course. The OOKS, measuring objective knowledge about opioid overdose and naloxone, had improved scores from a median of 73.2% (interquartile range [IQR] 68.3%-79.9%) to 91.5% (IQR 85.4%-95.1%), P < 0.001. The three domains on the OOAS score also showed statistically significant results. Competency to manage an overdose improved on a five-point scale from a median of 2.5 (IQR 2.4-2.9) to a median of 3.7 (IQR 3.5-4.1), P < 0.001. Concerns about managing an overdose decreased (improved) from a median of 2.3 (IQR 1.9-2.6) to median 1.8 (IQR 1.5-2.1), P < 0.001. Readiness to intervene in an opioid overdose improved from a median of 4 (IQR 3.8-4.2) to a median of 4.2 (IQR 4-4.2), P < 0.001. A brief course designed to teach bystanders about opioid overdose and naloxone was feasible and effective. We encourage hospitals and other organizations to use and promulgate this model. Furthermore, we suggest the convening of a national consortium to achieve consensus on program content and delivery.

THE ROLE OF THE NATIONAL CONSORTIUM ORCID UKRAINE IN ADVANCING OPEN SCIENCE POLICY

This article explores the pivotal role played by the National Consortium ORCID Ukraine in effectively implementing the Open Science Policy within the Ukrainian research landscape. . The article delves into the strategies employed by the consortium to promote ORCID iDs (Open Researcher and Contributor IDs) and their integration into various research processes to enhance research transparency, streamline collaboration, and establish a robust foundation for open science practices. Emphasizing the significance of ORCID iDs in uniquely identifying researchers, the discussion also highlights their impact on reducing authorship ambiguity and ensuring accurate attribution of scholarly contributions. Furthermore, the article explores the broader implications of promoting open science in Ukraine, emphasizing the positive correlation between research transparency and economic development. It is shown that by facilitating a more transparent and collaborative research environment, the National Consortium ORCID Ukraine generates high-quality research outputs, fosters innovation, and attracts investment. The experiences and successes of the consortium in advocating for open science principles, along with the challenges encountered and lessons learned, are detailed. Particularly, it highlighted the challenges and the technical complexity associated with using the ORCID Affiliation Manager tool by Ukrainian research institutes and ensuring compatibility and seamless data transfer between the digital repository system DSpace and the editorial workflows of the publishing platform OJS. The article concludes by underscoring the critical role that initiatives like the National Consortium ORCID Ukraine play in shaping a research ecosystem that not only adheres to open science principles but also stimulates economic growth through knowledge dissemination and collaboration.

Abstract 1287: The ACCESS consortium: Advancing childhood cancer experience, science and survivorship in Canada

Abstract In Canada, &amp;gt;4,300 children, adolescents and young adults are diagnosed with cancer each year. 1/3 have refractory/metastatic disease or will relapse with an expected 5-year survival rate of &amp;lt;15%. The prognosis for most pediatric cancers has stagnated in the past 30 years and Canada trails the US and Europe in providing accessible clinical trials and improved outcomes. Advocacy for change by patients and families led to a federal government investment of $30M in pediatric cancer research. $23M was allocated to establishing a national pediatric cancer consortium. “ACCESS: advancing childhood cancer experience, science and survivorship” is the new multi-stakeholder network created with a vision that every Canadian child with cancer has access to the latest scientific advances, diagnostic tools, therapies and supportive care leading to better outcomes and quality of life. ACCESS will connect the Canadian pediatric cancer community, build partnerships, leverage research and clinical expertise across cancer types and ages, implement transformative change and create a unified national strategy. To date, &amp;gt;350 clinicians, researchers, policymakers, advocates, people with lived experience (PWLE; patients, families and survivors) and other stakeholders have been engaged, with a goal of representing Canada’s ethno-cultural, socioeconomic and geographic diversity. ACCESS is building partnerships between children, families, professionals, and existing programs to collaborate in coordinated research and knowledge mobilization. The goal is to implement transformative change in the delivery of fair, fast, effective and safe cancer care for all Canadian children. ACCESS has developed a statement of its values that includes patient/survivor and family centred; collaborative; anti-oppressive; innovation and excellence; accountable. Uniquely, ACCESS is an interdisciplinary and inclusive organization that directly engages and collaborates with PWLE at all levels of research and governance. ACCESS is organized into 7 themes that will address gaps, advance research and educate through all phases of the pediatric cancer journey: cancer biology; clinical trials; access to innovative therapies and optimal care; regulation, policy and economics; education and training; ethical, legal, societal implications and implementation science; and psychosocial and survivorship. In addition, there are two cross cutting groups focusing on Knowledge mobilization and Social justice, Indigenization and Inclusion. Collaborations with local, provincial, national and international initiatives are being established through the development of a partnership strategy. Cross-consortium priorities are being implemented, and a data management strategy is in development. The publication of a strategic and sustainability plan for ACCESS is anticipated in 2024. Citation Format: Christine J. Williams, Stephanie A. Grover, Adrienne Co-Dyre, David Malkin, James A. Whitlock, on behalf of the ACCESS consortium. The ACCESS consortium: Advancing childhood cancer experience, science and survivorship in Canada [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1287.