The UNC Center for Health Equity Research’s Health Equity Research Intensive (HERI) brings together diverse stakeholders invested in health equity to learn how to develop, implement and evaluate more inclusive and impactful health equity research projects. HERI provides sessions centered on partnership and engagement with innovative approaches and methods. HERI's primary goal is to help participants understand their role in addressing important questions related to health disparities and health equity. Participating in HERI will equip attendees to effectively center equity in their research.

Agenda and presentation times vary by day. For more information, visit: Health Equity Research Intensive or the Whova Agenda.

Research Capacity Building Grants Program – to support research infrastructure in Southeastern NC

The Research Advisory Council (RAC), a, joint committee composed of research leaders from Novant Health, Novant Health New Hanover Regional Medical Center (NH-NHRMC), the University of North Carolina Health Care System (UNC Health), and the University of North Carolina at Chapel Hill School of Medicine (UNC SOM) has announced plans for Capacity Building Grants.

The purpose is to build capacity and facilitate human subjects research in the Southeastern Coastal region of North Carolina. For more information, visit tracs.unc.edu/services/pilot-program/research-advisory-council-awards.

With an explicit focus on building sustainable and high impact research teams focused on southeastern coastal North Carolina health concerns and populations, “Research Capacity Building Grants” of up to $500k total expenditures over 2-3 years will be awarded in 2024.

View/download RFA

Contact Crystal Walker (This email address is being protected from spambots. You need JavaScript enabled to view it.) for more information or to submit questions.

The UNC Center for Health Equity Research’s Health Equity Research Intensive (HERI) brings together diverse stakeholders invested in health equity to learn how to develop, implement and evaluate more inclusive and impactful health equity research projects. HERI provides sessions centered on partnership and engagement with innovative approaches and methods. HERI's primary goal is to help participants understand their role in addressing important questions related to health disparities and health equity. Participating in HERI will equip attendees to effectively center equity in their research.

Agenda and presentation times vary by day. For more information, visit: Health Equity Research Intensive or the Whova Agenda.

Introduction to ATLAS.ti Part 1

This short course will demonstrate the capabilities of the PC version of ATLAS.ti (version 23), a qualitative analysis software program for coding and interpreting qualitative data. ATLAS.ti also provides numerous options for attaching memos and comments to text segments, documents, and codes. We will demonstrate how to import textual data, create and apply codes, write memos, create diagrams, and examine the hierarchical and relational connections among codes. We will also discuss special analysis features, such as the code co-occurrence matrix, the codes-variables table, and Sankey diagrams.

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AI Health Lunch and Learn: Introduction to Large Language Models

Large language models (LLM) are powering amazing recent innovations in generative AI such as ChatGPT. Although their capabilities may seem like magic, behind these technologies are concepts that anyone can understand. In this lunch and learn, Larry Carin will provide a math-free, intuitive explanation of how LLMs work.

Speaker:
Larry Carin, PhD
Professor of Electrical and Computer Engineering
Pratt School of Engineering, Duke University

This event is sponsored by Duke AI Health; the Duke University Departments of Biostatistics & Bioinformatics, Computer Science, and Electrical and Computer Engineering; the Duke Center for Computational Thinking; +DataScience; and the Pratt School of Engineering. It is being cross-promoted by the North Carolina BERD Consortium (Duke University School of Medicine, University of North Carolina-Chapel Hill, and Wake Forest School of Medicine).

The UNC Center for Health Equity Research’s Health Equity Research Intensive (HERI) brings together diverse stakeholders invested in health equity to learn how to develop, implement and evaluate more inclusive and impactful health equity research projects. HERI provides sessions centered on partnership and engagement with innovative approaches and methods. HERI's primary goal is to help participants understand their role in addressing important questions related to health disparities and health equity. Participating in HERI will equip attendees to effectively center equity in their research.

Agenda and presentation times vary by day. For more information, visit: Health Equity Research Intensive or the Whova Agenda.

NC BERD Seminar: Discrete choice experiments and patient outcomes

This introductory-level session will provide a methodologic overview of the discrete choice experiment (DCE) methodology and study design types, what is involved in the design of a DCE, statistical assumptions, and more.

Presenter: Chris Gillette, PhD
Associate Professor, PA Studies, Wake Forest University School of Medicine

This event is hosted by Wake Forest and being cross-promoted by the NC BERD Consortium, a collaboration of the CTSA-funded BERD cores at UNC-Chapel Hill, Wake Forest University School of Medicine, and Duke University School of Medicine.

This interactive online workshop will provide an introduction to focus groups, a data collection method used in qualitative research. Attendees will also observe or participate in a mini "mock" virtual focus group session.

Topics:

• Focus group methodology
• Considerations for planning a focus group
• Development of focus group discussion guides
• Focus group facilitation skills
• Tips for conducting virtual focus groups

Presenters:
MaryBeth Grewe, MPH
Engagement and Qualitative Research Specialist
NC TraCS Institute

Simone Frank, MPH
Community Engagement and Outreach Specialist
NC TraCS Institute

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Introduction to MAXQDA

This course will cover the features of MAXQDA (version 2022), a software program that supports qualitative data analysis and helps users systematically code, evaluate, and interpret textual data. Its capabilities include coding, memo writing, matrix building, and diagramming. We will demonstrate importing data, applying codes, using demographic variables, running reports, generating analytic matrices, and using other specialized analysis features.

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UNC NRP September 2023 Education Session: EPIC Updates

Please join the UNC Network for Research Professionals and Stephanie Deen, Epic@UNC Research Program Manager, for Epic Updates.

Objectives:

• Cover new features coming to Epic for Research
• Reminders of key Epic workflows

Register

NC BERD Seminar: Generalized Pairwise Comparisons as a Statistical Method for Patient-Centric Medicine

The era of "precision medicine" is in full swing. Precision medicine, which aims at giving the right treatment to the right patient at the right time, takes advantage of predictive biomarkers to deliver targeted drugs. This is particularly important in oncology, given the high stakes of treatment benefit vs. treatment harm. Precision medicine may be taken one step further if individual patient preferences are factored into decision-making to reach what might be truly called "patient-centric medicine". Allowing patients to make individualized treatment decisions is currently done informally, since no statistical methods integrate several indicators of efficacy and toxicity into a single, quantitative measure.

A new statistical method, named "generalized pairwise comparisons" (GPC), allows formal decisions based on the totality of the available information in a rigorous way. Using GPC, all efficacy, toxicity and quality of life data from patients enrolled in clinical trials comparing competing interventions can be used to analyse any number of prioritized outcomes of any type (binary, continuous, time to event, etc.), possibly with thresholds of clinical relevance for continuous or ordered outcomes. The method compares all possible pairs of patients formed by taking one patient from the experimental group and one patient from the control group of a randomized trial. We have proposed a new measure of the overall treatment effect, called the "Net Treatment Benefit" (NTB), as the difference between the probability that a patient taken at random in the experimental group has a better outcome than a patient taken at random in the control group. The NTB is an absolute measure that directly addresses patient-centric questions about the probabilities of benefits and harms from treatment. As such, the GPC method can be used to individualize treatment choices. Other measures of treatment benefit include the win ratio, which has received a lot of attention in cardiovascular trials, and the win odds. The general properties of GPC and the associated measures of treatment effect will be discussed, and illustrated in actual applications.

Speaker:
Marc Buyse, ScD
Chief Scientific Officer and Founder
International Drug Development Institute (IDDI)

This event is sponsored by Duke University Department Biostatistics and Bioinformatics. It is being cross-promoted by the North Carolina BERD Consortium (Duke University School of Medicine, University of North Carolina-Chapel Hill, and Wake Forest School of Medicine).

Community Health Workers in Early Childhood Well-Child Care

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Tumaini Rucker Coker, MD, MBA
Professor of Pediatrics
Division Head for General Pediatrics
University of Washington Department of Pediatrics
Seattle Children’s Hospital

Learn More