Health Equity Modeling

This page provides resources for health equity modeling and analysis.

Activities

 

graphical image of a compass

 

NIH ComPASS - Community Partnerships to Advance Science for Society

Learn more in the NIH press release: https://go.nih.gov/NIHComPASSAwards23

ComPASS Program website: https://commonfund.nih.gov/compass

ComPASS funded research page: https://commonfund.nih.gov/compass/fundedresearch

To learn more about ComPASS, watch this brief video: https://www.youtube.com/watch?v=PVQVYQBh6KM


Other Activities

February 15, 2024 - Pre-Application Webinar for prospective applicants for the NIH Bridge-to-Care Initiative -- REGISTER HERE

December 5, 2023 - Submissions due for the NIH Build UP Trust Challenge

June 29, 2023 Session at the 2023 IMAG/MSM Past2Future Meeting

Plenary Session 2.3 – Opportunities for Multiscale Modeling to Address Health Disparities and Move Toward Health Equity

 

March 2-3, 2023 Impacts of Healthcare Algorithms on Racial and Ethnic Healthcare Disparities

Webinar, slides are located here, https://effectivehealthcare.ahrq.gov/news/meetings

AHRQ: https://effectivehealthcare.ahrq.gov/products/racial-disparities-health-healthcare/protocol

 

Resources:

NIH Office of Disease Prevention: Research Methods for Multilevel Interventions to Reduce Health Disparities

 

Relevant Publications:

February 24, 2023: A framework to identify ethical concerns with ML-guided care workflows: a case study of mortality prediction to guide advance care planning

January 1, 2023: Investigating real-world consequences of biases in commonly used clinical calculators

March 2022: Community Sharing: Contextualizing Western Research Notions of Contamination within an Indigenous Research Paradigm

August 19, 2022: Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor, A Systematic Review

October 4, 2020: [arxiv] Fairness in Machine Learning: a Survey.

October 5, 2018: [arxiv] Model Cards for Model Reporting

2017: What Touched Your Heart? Collaborative Story Analysis Emerging From an Apsáalooke Cultural Context