Agenda-Monday, October 30, 2023

Be sure to explore the schedule for both days using the buttons below.

Monday October 30, 2023
All times are Eastern Standard Time

Poster Session
All posters will be available throughout the conference for viewing starting on October 30, 2023.

10:30 – 10:40  (EST)

Day 1 Opening

10:40 – 11:30  (EST)

Keynote: Making Numbers Meaningful for Patients and Clients

Jessica Ancker

11:30 – 1:00  (EST)

Panel A:

Health Literacy-Related Safety Events as a Tactic to Improve Organizational Health Literacy and Health Outcomes

Mary Ann Abrams
Cori Gibson
Mindy Bibart
Andrea Morrison

Panel B:

The WHO Action Network on Measuring Population and Organizational Health Literacy

Diane Levin-Zamir
Christa Straßmayr
Hanne Søberg Finbråten
Angelika Schlacher

1:00 – 1:30 (EST)


1:30 – 2:30 (EST)

Special Interest Group A

Health Literacy Measurement

Stacey Bailey

Workshop A:

Developing Practical Guidelines for Culturally Resonant Health Communication Media

Claudia Parvanta
Samantha Boddupalli
Natalie Erasme

2:30 – 4:00 (EST)

Panel H

Digital and data literacies in healthcare: What adults learners know, learn, and do

Maricel Santos
Kathy Harris
Theresa Sladek
Maria Jose Bastias
Julie Reeder

Jill Castek

Oral Abstract Session A

Equity in Choosing Wisely? The impact of health literacy on consumer healthcare decision-making and methods to support conversations about overuse

Danielle Muscat

Linguistic fairness and health equity in the U.S.: The case of multilingual public health information about COVID-19

Joseph Dexter/Vishala Dean

An examination of health literacy in the Asia-Pacific Region - a report from the Lymphoma Coalition

Steve Kalloger

Conceptualizing health literacy: A framework to build organizational health literacy skills

Janel Schuh

4:00 – 4:30 (EST)


4:30 – 6:00  (EST)

Panel C:

A Socio-Ecological Approach to Exploring Factors Influencing Mental Health Literacy in Higher Education Communities

Christi M. Navarro
Shannon Parma
Zahra Aziz
Samhita Doranala

Panel D:

Simplifying Medical Texts with Large Language Models: Challenges and Opportunities

Byron Wallace
Wei Xu
Jessy Li
Michael Mackert