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Evaluation ViewAttendees 56
Workshop

Quality Improvement/Patient Safety

Trainee
Session Type: Workshop

The Role of Social Determinants of Health in Centering Equity in QI Research

Saturday, May 4, 2024
8:00 AM – 9:30 AM ET
Location: Metro Toronto Convention Centre: 604
CE: Live CME: 1.5

Disclosure(s):
Kierra S. Barnett, PhD, MPH: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Mattina Davenport, PhD: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Laura J. Chavez, PhD, MPH: I do not have any relevant financial / non-financial relationships with any proprietary interests.
Rose Y. Hardy, PhD, MPH: Visible Network Labs (Terminated, September 9, 2022) (Products/Services: Employment with an ineligible company)
Deena J. Chisolm, PhD: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Workshop

Description: The impact of social determinants of health (SDH) is well established in the literature, finding that SDH account for nearly 80% of health outcomes. However, few strides have been made in incorporating SDH into pediatric quality improvement (QI) research. This workshop will provide a framework on how to include SDH in QI research to center health equity in outcome metrics. Through small group exercises, participants will explore considerations for: (1) identifying gaps data related to social needs and social determinants of health needed to understand population health inequities; (2) using innovative mixed method approaches to improve understanding of key drivers; (3) understanding the importance of thinking outside of the walls of our health institutions; and (4) defining new measures of success.

Learning Objectives:

  • Identify gaps in social needs and social determinant data collection that prevent health care systems and community partners from understanding population level health inequities.
  • Demonstrate cutting-edge mixed methods approaches that utilize multiple data sources to improve key drivers and outcomes metrics.
  • Define new metrics to measure success in monitoring population health equity using a Targeted Universalism Framework.