Research Methods to Advance Health and Healthcare Equity within Health Informatics 2.0: An Instructional Workshop

Presentation Time: 01:00 PM - 04:00 PM

Abstract Keywords: Health Equity and Social Determinants of Health (SDoH), Health Equity, User-centered Design Methods, Qualitative Methods, Machine Learning, Large Language Models (LLMs)
Working Group: Health and Healthcare Equity Working Group
Primary Track: Foundations
Programmatic Theme: Clinical Research Informatics

In this workshop, attendees will be introduced to a systematic process for integrating health equity into all stages of a project using the “Equitable Research PRAXIS” framework. The PRAXIS framework advocates for attention to four methodological considerations across project stages: Participation and Representation (PR); Appropriate Methods and Interventions (A); ConteXtualization and Structural Competence (X); and Investigation of Systematic Differences (IS). It offers systematic equity considerations for researchers and was derived from nine methodologically diverse equity-focused health informatics studies. The workshop will be divided into didactic instruction and collaborative exercises. Presentations from facilitators with varied expertise will introduce the PRAXIS framework. Breakout sessions will have the attendees collaboratively apply the PRAXIS methodological considerations to case studies throughout four stages of a research study. Attendees will choose from case studies with diverse methods: (1) community-engaged mixed methods study of technology use, (2) health and social media data science study, and (3) participatory and co-design methods study for technology design. Discussions will also draw examples from attendees’ experiences with health equity research. The workshop will conclude with a facilitated brainstorming exercise regarding how to advance health equity in attendees’ current or future research. People who are both more or less familiar with health equity research approaches are encouraged to attend.

Speakers:
Tiffany Veinot, PhD
University of Michigan School of Information

Jian-Sin Lee, MSc
University of Michigan School of Information

Lorraine Buis, PhD
University of Michigan

Megan Threats, PhD, MSLIS
University of Michigan - Ann Arbor

Ashley Bhogal, Master of Health Informatics (MHI)
University of Michigan

Yongjie Sha, MA
University of Michigan School of Information

V.G.Vinod Vydiswaran, Ph.D.
University of Michigan

Authors:
Tiffany Veinot, PhD - University of Michigan School of Information; Marcy Antonio, PhD, MPH, BSc - University of Michigan, Ann Arbor; Jian-Sin Lee, MSc - University of Michigan School of Information; Lorraine Buis, PhD - University of Michigan; Megan Threats, PhD, MSLIS - University of Michigan - Ann Arbor; Ashley Bhogal, Master of Health Informatics (MHI) - University of Michigan; Yongjie Sha, MA - University of Michigan School of Information; V.G.Vinod Vydiswaran, Ph.D. - University of Michigan;

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