Presentation on the RADx-Underserved Populations Coordination and Data Collection Center with an emphasis on how it will help understand and reduce the disparities associated with the COVDI-19 pandemic
Clinical Research Informatics Year-in-ReviewPeter Embi
Peter Embi's 2018 Clinical Research Informatics Year-in-Review. Presented as closing Keynote address at the 2018 AMIA Informatics Summit in San Francisco, CA.
Hannes Smarason: Progress & Prospects in GenomicsHannes Smárason
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AACR 2018 Ask the Expert talk on NCI's Provocative Questions InitiativesNorbert Tavares, Ph.D.
Ask the Expert presentation on NCI's Provocative Questions Initiative, presented by Norbert Tavares, Ph.D. at the annual American Association for Cancer Research (AACR) conference at the National Cancer Institutes (NCI) booth on 4/6/2018.
Session Two: Barriers to investment in research to find a disease modifying therapy or cure for dementia
Dr Neil Buckholtz , Director of Neuroscience, the National Institute on Aging (NIA), National Institutes of Health (NIH)
PanCareSurPass @SIOP Europe/CCI Europe Meeting 2021, Riccardo HauptKylieOBrien10
Research Manager Dr. Riccardo Haupt presented the PanCareSurPass project at the ‘PanCare and ELTEC – Late effects’ session of the SIOP Europe/CCI Europe Meeting 2021 on 28th April 2021.
PanCareSurPass has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 89999. The material presented and views expressed here are the responsibilities of the author(s) only. The EU Commission takes no responsibility for any use made of the information set out.
Strengthening data sharing for public health: ethical, legal and political is...ExternalEvents
http://www.fao.org/about/meetings/wgs-on-food-safety-management/en/
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The Role of Connected Diagnostics in Strengthening Regional, National and Con...SystemOne
Although numerous disease intelligence and surveillance systems exist, they are plagued with inaccurate or untimely data. We contend, furthermore, that it was this lack of data quality – and not
the lack of surveillance systems or networks – that prevented the global community from acting earlier in response to the Ebola outbreak in 2014–2016. The new field of ‘connected diagnostics’ is one solution to this concern, as it automates data collection directly from the diagnostic instruments to multiple levels of stakeholders for real-time decision-making and policy response.
This article details how the intervention of ‘connected diagnostics’ could solve the primary underlying failure in existing surveillance systems – the lack of accurate and timely data – to enable
difficult political decisions earlier. The use of connectivity solutions can enable critical health and operational data to empower the Africa CDC, regional hubs, and each country with a consistent
and automated data feed while still maintaining country privacy and controls.
US Federal Cancer Moonshot- One Year LaterJerry Lee
Presentation from former Cancer Moonshot Data and Technology Track Co-chairs Jerry S.H. Lee, PhD (NCI, former OVP) and Dimitri Kusnezov, PhD (DOE) to update on efforts that will help realize the Data/Tech Track's vision of a national learning healthcare system for cancer. These include NCI/DOE pilots, DOE/VA pilot, NCI GDC, DoD/VA/NCI APOLLO, NCI/GSK ATOM, and BloodPAC.
Overview of the NIH-funded RADx-UP - Rapid Acceleration of Diagnostics - Underserved Populations (RADx-UP) Coordination and Data Collection Center (CDCC) with a focus on the Common Data Elements used to gather data across the RADx-UP Consortium for COVID-19 testing.
Clinical Research Informatics Year-in-ReviewPeter Embi
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Hannes Smarason: Progress & Prospects in GenomicsHannes Smárason
The annual American Society of Human Genetics Meeting (ASHG 2016) is an excellent time for the field of genomics to take stock of the past and clarify our perspectives for the future.
AACR 2018 Ask the Expert talk on NCI's Provocative Questions InitiativesNorbert Tavares, Ph.D.
Ask the Expert presentation on NCI's Provocative Questions Initiative, presented by Norbert Tavares, Ph.D. at the annual American Association for Cancer Research (AACR) conference at the National Cancer Institutes (NCI) booth on 4/6/2018.
Session Two: Barriers to investment in research to find a disease modifying therapy or cure for dementia
Dr Neil Buckholtz , Director of Neuroscience, the National Institute on Aging (NIA), National Institutes of Health (NIH)
PanCareSurPass @SIOP Europe/CCI Europe Meeting 2021, Riccardo HauptKylieOBrien10
Research Manager Dr. Riccardo Haupt presented the PanCareSurPass project at the ‘PanCare and ELTEC – Late effects’ session of the SIOP Europe/CCI Europe Meeting 2021 on 28th April 2021.
PanCareSurPass has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 89999. The material presented and views expressed here are the responsibilities of the author(s) only. The EU Commission takes no responsibility for any use made of the information set out.
Strengthening data sharing for public health: ethical, legal and political is...ExternalEvents
http://www.fao.org/about/meetings/wgs-on-food-safety-management/en/
Strengthening data sharing for public health: ethical, legal and political issues. Presentation from the Technical Meeting on the impact of Whole Genome Sequencing (WGS) on food safety management and GMI-9, 23-25 May 2016, Rome, Italy.
The Role of Connected Diagnostics in Strengthening Regional, National and Con...SystemOne
Although numerous disease intelligence and surveillance systems exist, they are plagued with inaccurate or untimely data. We contend, furthermore, that it was this lack of data quality – and not
the lack of surveillance systems or networks – that prevented the global community from acting earlier in response to the Ebola outbreak in 2014–2016. The new field of ‘connected diagnostics’ is one solution to this concern, as it automates data collection directly from the diagnostic instruments to multiple levels of stakeholders for real-time decision-making and policy response.
This article details how the intervention of ‘connected diagnostics’ could solve the primary underlying failure in existing surveillance systems – the lack of accurate and timely data – to enable
difficult political decisions earlier. The use of connectivity solutions can enable critical health and operational data to empower the Africa CDC, regional hubs, and each country with a consistent
and automated data feed while still maintaining country privacy and controls.
US Federal Cancer Moonshot- One Year LaterJerry Lee
Presentation from former Cancer Moonshot Data and Technology Track Co-chairs Jerry S.H. Lee, PhD (NCI, former OVP) and Dimitri Kusnezov, PhD (DOE) to update on efforts that will help realize the Data/Tech Track's vision of a national learning healthcare system for cancer. These include NCI/DOE pilots, DOE/VA pilot, NCI GDC, DoD/VA/NCI APOLLO, NCI/GSK ATOM, and BloodPAC.
Overview of the NIH-funded RADx-UP - Rapid Acceleration of Diagnostics - Underserved Populations (RADx-UP) Coordination and Data Collection Center (CDCC) with a focus on the Common Data Elements used to gather data across the RADx-UP Consortium for COVID-19 testing.
Rare Disease Patient Registries:
Key to Drug Development and Access
Tuesday, May 3 @ 12:00 – 1:00 pm EDT
Slides:
USA National Institutes of Health RaDaR
NORD IAMRARE (Pam Gavin, VP)
Canada INFORM RARE (Beth Potter, CHEO; Pranesh Chakraborty, CHEO; Kim Angel, Can MPS Society; John Adams, CanPKU)
Why Precision Medicine and Personalized Healthcare and Why Now? Links to Canada’s Rare Disease Strategy The Future is Now
1) Marc LePage, Genome Canada
2) Michael Duong, Roche
3) Danica Stanimirovic, National Research Council
4) Daniel Gaudet, University of Montreal
5) Christine Dalgleish, Patient Perspective
6) Jamie Bruce, Khure Health
This presentation was designed by Mariam Otmani Del Barrio for the VERDAS consortium workshop held on Thursday 2 March at the University of Valle in Cali, Colombia.
The workshop was the Verdas Consortium presentation of its research results, a synthesis of knowledge on urban health interventions for the prevention and control of vector-borne diseases.
Canada’s Rare Disease Drug Program
Vision: Integrated, Inclusive, Innovative Rare Drug System
Single Seamless Pathway from R&D, CT, regulatory approval, access parameters, monitoring, values-based assessment, price negotiations
Governance board representing all stakeholders: diverse patient community, clinical specialities, public/private drug plan providers, HTA agencies, pharmaceutical companies, subject matter experts (regulatory, research)
Building for Success: 12 Steps, 4 Platforms
Repurposed existing drugs and updated global health policy and clinical guidelines will be essential for limiting the social and economic devastation caused by this virus. So, we are leading a three-phase multinational Network Medicine clinical study (MNM COVID-19 study). The study will apply Network Medicine methodologies to repurpose existing drugs for SARS-CoV-2 infected patients and update global health policy and clinical guidelines.
Data Harmonization for a Molecularly Driven Health SystemWarren Kibbe
Maximizing the value of data, computing, data science in an academic medical center, or 'towards a molecularly informed Learning Health System. Given in October at the University of Florida in Gainesville
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Drivers for data sharing in funding of biomedical research. Importance of data sharing on open science, innovation, reproducibility that is enabled by digital technologies and data science.
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Focus is on the cancer data science and informatics community, a sad farewell to our friend and colleague Paul Fearn, kudos to Frank Manion, Mia Levy, and Samir Courdy. A little bit of overall change in cancer therapies, informatics, technology, and of course data science. A few highlights from publications as well!
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
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- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
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NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
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Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
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3. 3
Project Description
RADx Tech Highly competitive, rapid three-phase challenge to identify the best candidates for
at-home or point-of-care tests for COVID-19.
RADx-Advanced Technology
Technology Platforms
(RADx-ATP)
Rapid scale-up of advanced POC technologies and laboratories to accelerate,
enhance and validate utility of ultra-high throughput machines and facilities.
RADx-Radical
(RADx-rad)
Develop and advance novel, non-traditional approaches or new applications of
existing approaches for testing.
RADx-Underserved
Populations (RADx-UP)
Interlinked community-engaged projects focused on implementation strategies to
enable and enhance testing of COVID-19 in underserved and/or vulnerable
populations.
Rapid Acceleration of
Diagnostics (RADx) Overview
4. 4
Overarching Goal
Establish a robust pipeline of innovative diagnostic technologies to increase
national testing capacity.
Innovate Across the Testing Landscape
Expand the number, type, access, and throughput of testing technologies.
Optimize Technology Performance
Develop technology for a range of essential “Use Cases”
At-home
Point of Care (POC)
Hospital
Testing Laboratory
RADx Tech
5. 5
Overarching Goal
Increase testing capacity and throughput by identifying existing and late-
stage testing platforms to achieve rapid scale-up or expanded
geographical placement.
Emphasize differential POC testing to distinguish SARS-Cov-2 vs.
influenza.
Establish rapid collaborations with key industry partners.
RADx-Advanced Technology Platforms
(RADx-ATP)
Support Scale-Up of High-Throughput Labs to
Add Capacity
Scale-up Late-Stage Technologies
6. 6
Overarching Goal
Support new, non-traditional approaches and new applications of existing tools
that address gaps in COVID-19 testing and develop platforms that can be deployed
in future outbreaks of COVID-19 and other, yet unknown, diseases.
Example Research Technologies of Interest
Wastewater-based detection of SARS-COV-2
Single vesicle, exosome, and exRNA isolation for the detection of SARS-CoV-
2
Chemosensory testing for COVID-19 screening
Predicting viral-associated inflammatory disease severity in children with
laboratory diagnostics and artificial intelligence
Multimodal COVID-19 surveillance methods for high-risk populations
RADx-Radical (RADx-rad)
7. 7
Phase I: $300M Phase II: $200M
Build infrastructure Rapidly implement
testing, other capabilities
Integrate new
advances
Expand studies/
populations
September – November 2020 2021
RADx-Underserved Populations (RADx-UP)
Overarching Goals
Enhance COVID-19 testing among underserved and vulnerable populations across the US.
Develop/create a consortium of community-engaged research projects designed to rapidly implement
testing interventions.
Strengthen the available data on disparities in infection rates, disease progression and outcomes, and
identify strategies to reduce these disparities in COVID-19 diagnostics.
9. 9
RADx-UP Strategies
• Expand capacity to test broadly for SARS-CoV-2 in highly affected
populations, including asymptomatic persons.
• Deploy validated point of care tests as available, including self-test
and saliva-based methods.
• Inform implementation of mitigation strategies based on isolation
and contact tracing to limit community transmission.
• Understand factors that contribute to COVID-19 disparities and
implement interventions to reduce these disparities.
• Establish infrastructure that could facilitate evaluation and distribution
of vaccines and therapeutics.
10. 10
Overview
Awarded 29 sites in FY20, 1 site in FY21
o Approximately 500,000 participants/tests
Testing methods include a range of POC, pooled, & lab-based; PCR, antigen, and Ab:
o Abbott ID NOW, Roche cabas, Cepheid GeneXpert, Hologic Aptima/Panther Fusion, Advanta Dx, Quest Diagnostics LDT,
ThermoFisher, Infinity BiologiX, LabCorp, and custom tests
Testing at prisons, mental health programs, in public housing & community centers
o Focus on rural and urban, Tribal, and aging communities
Understand the factors associated with COVID-19 morbidity and mortality disparities and to lay
the foundation to reduce disparities for those underserved and vulnerable populations
Closely partner with communities to develop and implement interventions to increase access
and uptake of testing
Provide large-scale testing and collaborate across the consortium of projects to serve as a
resource for future studies and outreach
Program Information: $5M per site over 2 years; 30 sites
NOT-OD-20-121
Testing Research Projects: Large Networks, Consortia &
Research Centers
11. 11
Overview
Awarded 4 sites in FY20, 19 in FY21
Testing methods include a range of POC, pooled, & lab-based; PCR, antigen, and Ab:
o Abbott ID NOW, Abbott Architect IgG Assay, Applied BioSystems, Cellex Rapid Test, KorvaLabs Curative SARS-Cov-2 Assay,
Cepheid GeneXpert, Cellex Rapid Test, Healgen, Quidel Sofia SARS antigen test, ThermoFisher, TaqPath, LabCorp, Inno
Diagnostics, and custom tests
Testing at mobile-sites, community health centers, in public housing & at home
o Focus on individuals with medical comorbidities, substance use disorders or mental illness, and community
dwelling older adults
Strengthen available data on disparities in infection rates and disease progression and
outcomes among underserved and vulnerable populations across the US
Understand differences in testing access and uptake patterns
Partner with communities to build the evidence-base of approaches to identify and address
disparities in diagnostic testing uptake and effectiveness
NOT-OD-20-120
Testing Research Projects: Community Collaborations &
Partnerships
Program Information: $2M per site over 2 years; 23 sites
12. 12
Overview
Awarded 5 projects in FY20, 11 in FY21
Research conducted through community health centers, online surveys, public housing developments, and Tribal communities
o Focus on individuals with medical comorbidities, migrant and immigrant populations, Tribal populations, and rural and remote
communities
Assess ethical, historical, healthcare, social, economic, and contextual factors surrounding
COVID-19 testing
Investigate influence of cultural beliefs and attitudes, perceived expectations, and preferences
Inform development of interventions and tools to increase access to and acceptability of testing
Social, Ethical and Behavioral Implications
Program Information: $1.2M per site over 2 years; 16 sites
NOT-OD-20-119
13. 13
Overview
Awarded to Duke/UNC
Innovative ideas for data management, hub and spoke models of networked testing, and outreach to underserved communities
Experience in developing new SARS-CoV-2 testing technologies
o Provide strong technical assistance to testing protocols and adoption/distribution of new, emerging technologies
Serve as a national resource to coordinate across the RADx Consortium
Provide overarching support and guidance in: (1) Administrative Operations and Logistics, (2)
COVID-19 Testing Technology, (3) Community and Health System Engagement and (4) Data
Collection, Integration and Sharing
Support the pilot project programs: (1) Rapid pilot studies, (2) Community collaboration grants
RFA-OD-20-013
RADx-UP Coordinating Center (CDCC)
Program Information: $80M over 4 years
15. Projects Overview
Total Number Projects 69
Total Number of States and Territories 56 *includes Washington DC
Total Target Enrollment 683,220
Total Participants to be Tested 362,000
First Study Enrollment July 2020
Last Study Enrollment November 2022
17. 17
NOT-OD-20-121, NOT-OD-20-120, NOT-OD-20-119 & RFA-OD-20-013
Together, funded sites and research projects propose to serve a diverse population set, with many projects serving
Hispanic/Latino and African American populations, as well as Asian Americans and American Indians/Alaska Natives.
RADx-UP Phase I Snapshot: 70 Funded Sites and Research Projects
3
5
15
19
24
25
33
41
Native Hawaiians and other Pacific Islanders
Underserved Rural Populations
Socioeconomically disadvantaged populations
Sexual and Gender Minorities
American Indians/Alaska Natives
Asian Americans
Blacks/African Americans
Hispanics/Latinos/as
Target Health Disparity Population Projects
Note: Some projects/sites address multiple target populations.
Number of Awards
18. 18
NOT-OD-20-121, NOT-OD-20-120, NOT-OD-20-119 & RFA-OD-20-013
Together, funded sites and research projects propose to serve a diverse population set, with many projects serving
individuals with medical comorbidities known to increase risk of severe COVID-19, rural and remote communities, and
migrant and immigrant populations.
8
10
11
11
11
12
15
23
25
Residents of tribal lands or reservations
Public housing residents
Children and adolescents
Community dwelling older adults
Essential workers
Individuals with substance use disorders or serious mental illness
Migrant and immigrant populations
Rural and remote communities
Individuals with medical comorbidities known to increase risk of severe COVID-19
Target Vulnerable Population Projects (1/2)
RADx-UP Phase I Snapshot: 70 Funded Sites and Research Projects
Note: Some projects/sites address multiple target populations.
Number of Awards
19. 19
NOT-OD-20-121, NOT-OD-20-120, NOT-OD-20-119 & RFA-OD-20-013
RADx-UP Phase I Snapshot: 70 Funded Sites and Research Projects
Funded sites and research projects also propose to serve the following additional vulnerable populations.
3
4
5
5
6
7
7
Residents of nursing homes and assisted living facilities
Individuals with disabilities, cognitive impairment or dementia, or communication disorders
Individuals living in congregate housing
Pregnant and post-partum women
Individuals involved with the criminal or juvenile justice systems
Communities exposed to high rates of air pollution or other toxic exposures
Homeless populations
Target Vulnerable Population Projects (2/2)
Note: Some projects/sites address multiple target populations.
Number of Awards
20. Number of Projects with Specific Target Population
46
42
31
21
18
17
17
16
5
2
2
1
25. 25
Social, Ethical and Behavioral Implications (SEBI) Institutions
RADx-UP Phase I Awards
Note: There are two awards located in Los Angeles, CA and New York, NY each.
26. 26
Social, Ethical and Behavioral Implications (SEBI) Participant Locations
RADx-UP Phase I Awards
Note: Cities listed are not exhaustive, as some projects only provided state-level information.
28. Coordination & Data Collection
Center
The RADx-UP CDCC is funded through NIH emergency cooperative agreement 1U24MD016258
29. Welcome from the RADx-UP CDCC Team
Duke Clinical Research
Institute (DCRI)
UNC Center for Health
Equity Research
Duke Department of
Biostatistics and Bioinformatics
30. 30
The RADx-UP Coordination and Data
Collection Center (CDCC) serves as a hub for all
RADx-UP funded projects
The RADx-UP CDCC
Provides steadfast assistance to RADx-UP projects to optimize
engagement, outreach, testing strategies, data collection and
integration, and co-learning opportunities between and among
projects and to the communities that we serve
• Is led by the Duke Clinical Research Institute (DCRI),the Center
for Health Equity Research at UNC-Chapel Hill with support from
a key partner, Community-Campus Partnerships for Health
31. 31
RADx-UP CDCC
Goals
Accelerate COVID-19 community implementation
science via an agile, flexible, participatory,
transparent and sustainable CDCC.
Support data collection, integration, and
sharing while preserving necessary data
protections.
Amplify and disseminate community best practices
for successful implementation of COVID-19 testing
strategies and vaccines.
Utilize RADx-UP infrastructure to
support COVID-19 research.
32. 32
Communities are at the center of our
work.
Data sovereignty protections and
sharing with communities and
participants are essential in building
trust and being trustworthy.
Intentional support of study teams is
critical to streamline results and
troubleshoot.
Broad dissemination of program
activities, data, and best practices are
key.
Strategic partnerships will augment
community benefits from the program.
Impact will be broad and will inform
national guidance, strategy, and
response to COVID-19.
*To be collaboratively informed by NIH and the community
RADx-UP CDCC Guiding Principles – Draft*
33. 33
RADx-UP CDCC
Principal Investigator Leadership: Michael Cohen‐Wolkowiez, MD, PhD, Giselle Corbie‐Smith, MD, MSc, Warren Kibbe, PhD, FACMI
Operations Director: Renee Pridgen
Program Director: Susan Knox
ADMINISTRATION AND COORDINATION CORE
Operational Lead: Donna Parker
ENGAGEMENT IMPACT TEAMS
COVID‐19 TESTING CORE
Core Leadership:
Chris Woods, MD, Thomas Denny, MSc, MPhil
Program Lead: Tim Veldman, PhD
Operational Lead: Barrie Harper
COMMUNITY ENGAGEMENT CORE
Core Leadership:
Al Richmond, Krista Perreira, PhD
Program Lead : Renee Leverty
Operational Lead: Crystal Cannon
DATA SCIENCE AND BIOSTATISTICAL CORE
Core Leadership:
Keith Marsolo, PhD, Lisa Wruck, PhD
Program Lead : Bhargav Adagarla
Operational Lead: Laura Johnson
RADx-UP
STEERING COMMITTEE &
EXTERNAL ADVISORY
BOARD
RADx-UP Awardees
SERVICES: Project Leadership, Communications, Evaluation
NIH Program Officers:
Dottie Castille, PhD
Beda Jean-Francois, PhD
NIH Project Scientist:
Fabienne Santel, MD, MPH
NIH Project Scientist:
Nadra Tyus, Dr.PH, MPH
NIH Project Scientist:
Partha Bhattacharyya, PhD
34. 34
Administration &
Coordination
Communication
Committee oversight
Processes, policies,
procedures
Partnerships
Evaluation
Community
Engagement
Best practices
Engagement Resource
Library
COVID-19 Equity
Evidence Academy
Community of Practice
Community
Collaboration Grants
COVID-19 Testing
Technical support
Repository of emerging
technologies
Testing selection &
implementation
Research pilot studies
Data Science &
Statistics
Data harmonization
Security, privacy, and
protections
Data exchange
Data representation and
visualization
ENGAGEMENT IMPACT TEAMS
CDCC Cores
35. 35
CDCC Engagement Impact Teams
• EIT Members: project management + community
engagement
• Single point of contact to awardees
• Support awardees
•Coordination, testing, community engagement, and data
collection and sharing
•Identify challenges and collaboratively generate solutions
•Testing and supplies, timeline management, community
access and engagement, recruitment and retention
challenges, and data use limitations, etc.
• Assist with troubleshooting
• Monitor progress
36. 36
CDCC Awardee
Communication Objective:
Communication
Channels
Welcome via
Email
Data Exchange
Engagement
Impact Team
Outreach
Newsletters
Orientation
Session
Project-wide
Meetings
COVID-19 Equity
Evidence Academy
Provide regular communications
to RADx-UP awarded projects to:
• Support engagement, testing,
and data collection/integration
• Promote co-learning between
and among projects and the
communities that we serve
RADx-UP Draft Communication Plan
37. Program Activity Timeline
What’s
New
• The final Common Data Elements (CDEs) and Informed Consent Data Sharing (ICF)
Template Language are available on the RADx-UP Toolkit, http://radx-up.org/toolkit/
• Check in with your CDCC Engagement Impact Team to discuss questions or concerns
related to implementation on your project
• Steering Committee members have been invited and will meet Jan. 25
• RADx-UP website includes Resource Library
What’s
Next
• Details and RFAs for the Community Collaboration Mini-Grant Program and the Rapid
Research Pilot Project Grant Program will be announced
• COVID-19 Equity Evidence Academy “Translating Innovations in Testing” (Feb. 24-25)
• Team directory and collaboration space coming soon!
38. News, Deadlines & Reminders
It’s as Easy as 1, 2, 3 to Stay Connected…
1. Read the RADx-UP newsletter
2. Participate in RADx-UP Monthly Project-Wide Team
Meetings
3. Establish regular connections with your Engagement
Impact Team or contact us at RADx-UP-
CDCC@dm.duke.edu.
39. RADx-UP Website & Toolkit
• Visit Radx-up.org/ to find:
• Project Profiles
• News
• Grant Opportunities (forthcoming)
• Visit Radx-up.org/toolkit/ to find:
• Communication Materials
• A Data Toolkit
• Engagement Impact Team Directory
• Meeting Recordings
• And More!
42. Givens: Community Impact
• The COVID-19 pandemic is having a dramatic impact on people’s lives, livelihoods,
and community interactions.
• It has highlighted health disparities. Many communities across the country are
facing more difficulties than others as they confront the pandemic.
• Underserved populations are concerned about research and how science and
government collects information from individuals, how that information is shared,
and how a participant’s identity could be exposed and exploited.
• Communities, including those serving Tribal Nations, have additional data rights
and responsibilities.
43. Givens: Notice of Special Interest (NOSI) Terms
• RADx-UP members are required to collect and share data, as outlined in NOSI terms:
• NIH is developing common data elements, which are standardized for multiple data sets across
different studies. Study data must be compatible to submit in required formats for person-
specific elements, such as demographics, social determinants of health and
characteristics; and COVID-19-specific elements.
• Recipients are expected to include the minimum NIH COVID-19 common data elements.
• Core common data elements are requested in a common format…
• NIH is requiring data sharing for all COVID-19 projects, where it is not prohibited (e.g., Tribal
data sovereignty).
• Recipients are expected to coordinate and share data with the CDCC and other projects
supported by the RADx-UP initiative and with considerations under tribal IRB processes.
• The NIH expects and supports the timely release and sharing of final research data from NIH-
supported studies for use by other researchers to expedite the translation of research
results into knowledge, products, and procedures to improve human health.
44. Purpose: Fight COVID-19 – Together
• RADx-UP is part of the $1.4 billion dollar NIH RADx initiative to help speed innovation in
the development and implementation of COVID-19 testing, vaccines, and related
technologies.
• One of the top priorities of the RADx initiative is creating the RADx Data Hub, a national
resource of RADx COVID-19 research data. Data collection and sharing is critical to the
success of the RADx initiative.
• NIH expects RADx-UP projects to participate as one consortium of interlinked community-
engaged research projects to understand, address, and solve COVID-19 health
disparities.
• Community centered research across all RADx projects will help to expedite the
translation of results into knowledge to improve the health of our communities.
• The RADx-UP CDCC is expected to provide the best guidance and support to RADx-UP
projects and the communities you serve, recognizing your experience, perspectives,
and project-specific requirements for data sharing.
46. Goals for the discussion
• Finalize CDEs for RADx-UP
• Sense of urgency, project
enrollment delays
• Agree on data sharing scenarios
• Align on next steps
IRB status as of
12/21/2020
Number of
projects
Not yet submitted 11
Some approvals received, more pending 8
Submitted, not approved 20
Approved, not yet enrolling 23
Enrolling, collecting begun 7
47. Tensions between RADx-UP goals
Lay foundation
to reduce
disparities
Understand
testing patterns
& factors
associated with
health
disparities
Need
to
build
trust
Need
to
collect
data
48. Collecting needed data while developing trust
1. NIH published the RADx-UP Data Harmonization Guidance
2. CDCC met with NIH, NLM, DR2 to discuss recommended RADx and RADx-UP
CDEs – initial Tier 1 version had 752 items
3. CDCC revised CDE and sent to NIH, NLM, DR2 for review
4. CDCC updated CDE based on feedback – version had 66 items
5. CDE survey sent to the Projects for their review and feedback
6. Met with Projects to review survey results and proposed CDE lists
7. Incorporated feedback and CDCC recommendations
49. Summary of Community/Participant Challenges
• CDE may impact participants’ comfort, willingness to getting tested
• Community trust will be impacted by collection of sensitive CDE (ex. identity)
• Participant burden due to length of CDE
• Wording of some CDE are not culturally sensitive
• Data sovereignty and sharing concerns associated with specific communities
50. Summary of Project Challenges
• Design of the project does not support CDE
• Survey is anonymous, so not obtaining consent
• Not enrolling individual participants / only have aggregate data
• High volume of visits per hour won’t allow for full CDE collection
• Staff burden
• Training needed for interviewers to administer the CDE as an oral interview
• Already IRB approved / started project / enrolling participants
• IRB or institution will not approve sharing some CDE with RADx-UP CDCC
• CDE do not align with the project’s specific goals or hypotheses
• Already asking similar questions/topics in project’s questionnaires
• Terminology in some CDE needs to be defined (ex. “stable housing”)
• CDE focus should be more on conditions and situations directly related to COVID-19
• Collecting extensive CDE to create a standard, long-standing, epidemiological dataset may impact the ability to
actually meet the project’s goals and the testing goals of RADx-UP
56. Specific Recommendations
Category/Question Source
Sexual orientation Projects’ community engaged work
Gender identity MTPC, PhenX
COVID-19 testing practices and beliefs Phen-X
Housing – house size (# rooms), density, age
groups of occupants
Kreuter & McQueen papers; projects
Ethnicity – expand categories for Pacific
Islander, Indigenous Mexicans
State of Hawaii; projects
Phone Number – change “work” to “other” Projects
Employment – add “part-time” and
“seasonal”
Projects
Health Insurance – include insurance type Projects
57. Next Steps
• Share template ICF language to enable data sharing w/RADx-UP
• Finalize the CDEs with NIH input
• Separate required and strongly recommended CDEs:
• Tier 1 (required)
• Tier 2 (strongly recommended, aligned with DR2 and PhenX toolkit CDEs)
• Distribute CDEs to RADx-UP projects for IRB submission and implementation
• Testing and Evaluation CDEs are forthcoming
58. Which category or categories contain questions you
anticipate not being able to collect?
59. 31
10
7 8
25
9 8
19 18
22
42
8
0
5
10
15
20
25
30
35
40
45
Identity Consent Symptoms
(COVID-19)
Demographics Disability Employment Health
Insurance
Health Status Housing Medical
History
Medications Vaccine
Hesitancy
60. Specific Concerns
• Community/Participant Concerns:
• CDE may impact participants’ comfort, willingness to getting tested
• Community trust will be impacted by collection of sensitive CDE (ex. identity)
• Participant burden due to length of CDE
• Wording of some CDE are not culturally sensitive
• Data sovereignty and sharing concerns associated with specific communities
61. Specific Concerns
• Project Concerns:
• Design of the project does not support CDE
• Survey is anonymous, so not obtaining consent
• Not enrolling individual participants / only have aggregate data
• High volume of visits per hour won’t allow for full CDE collection
• Staff burden
• Training needed for interviewers to administer the CDE as an oral interview
• Already IRB approved / started project / enrolling participants
• IRB or institution will not approve sharing some CDE with RADx-UP CDCC
• CDE do not align with the project’s specific goals or hypotheses
• Already asking similar questions/topics in project’s questionnaires
• Terminology in some CDE needs to be defined (ex. “stable housing”)
62. Specific Concerns
• Relatedness to RADx-UP Goals
• CDE focus should be more on conditions and situations directly related to COVID-19
• Collecting extensive CDE to create a standard, long-standing, epidemiological dataset
may impact the ability to actually meet the project’s goals and the testing goals of
RADx-UP
Micky – on behalf of myself, Giselle, and Warren and the entire RADx-UP CDCC we’d like to welcome you to today’s Project-Wide Monthly Team Meeting.
Warren - Here are highlights of new and recent activity from the RADx-UP CDCC, as well as a few upcoming activities.
Please refer to the RADx-UP CDCC Newsletter that was sent last Friday. You can find all of the newsletters on the Toolkit page of radx-up.org