Anti-Racism Methods for Big Data Research: Lessons Learned from the HIV Testing, Linkage, & Retention in Care (HIV TLR) Study

Ethn Dis. 2018 Aug 9;28(Suppl 1):261-266. doi: 10.18865/ed.28.S1.261. eCollection 2018.

Abstract

Public Health Critical Race Praxis (PHCRP) contributes three functional elements to health equity studies: a race conscious orientation; an antiracism lexicon based on Critical Race Theory (CRT); and an integrated, reflexive approach. Few big data studies employ all three functional elements. Therefore, this article describes the application of PHCRP to the Human Immunodeficiency Virus Testing, Linkage and Retention in care (HIV TLR) study (N=3,476,741), which connects multiple large datasets to electronic medical records to examine contextual determinants of racial/ethnic disparities in HIV care continuum outcomes in southern California. As HIV TLR demonstrates, PHCRP's innovative tools and strategies help big data research maintain fidelity to CRT.

Keywords: Big Data; Critical Race Theory; Electronic Medical Records; Health Services Research; Methods; Social Epidemiology.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Big Data*
  • Ethnicity
  • HIV Infections / ethnology*
  • Health Equity / statistics & numerical data
  • Humans
  • Psychology, Social
  • Public Health* / methods
  • Public Health* / statistics & numerical data
  • Racism / prevention & control*
  • Research Design
  • Retention in Care