RESUMEN
Critical feminist research addresses social inequities, encourages equitable partnerships between researchers and participants, and acknowledges that research can be inherently political. Building upon critical feminist research practices, community-based participatory research, and social and structural epidemiology, we propose the approach of critical feminist epidemiology. A critical feminist epidemiology approach can study community and population health inequities with an eye towards identifying interventions that reduce inequities, through research processes that center the lived experiences of people from minoritized genders. We describe how our interdisciplinary, community-led team used a critical feminist epidemiology approach for an applied public health research project. Mujeres Unidas y Activas, a community organizing non-profit led by and for Latina and Indigenous immigrant women, partnered with academic researchers to conduct community-led research around how their approach to building community power affected the health and wellbeing of organization members and their families. Critical feminist epidemiology is a promising approach for conducting research that is grounded in and relevant to the lives of women and gender expansive people. Building upon social epidemiology and community-based participatory research, critical feminist epidemiology can be a useful research approach to generate novel evidence to inform action towards health equity for communities and populations.
RESUMEN
INTRODUCTION: The scientific study of racism as a root cause of health inequities has been hampered by the policies and practices of medical journals. Monitoring the discourse around racism and health inequities (i.e., racism narratives) in scientific publications is a critical aspect of understanding, confronting, and ultimately dismantling racism in medicine. A conceptual framework and multi-level construct is needed to evaluate the changes in the prevalence and composition of racism over time and across journals. OBJECTIVE: To develop a framework for classifying racism narratives in scientific medical journals. METHODS: We constructed an initial set of racism narratives based on an exploratory literature search. Using a computational grounded theory approach, we analyzed a targeted sample of 31 articles in four top medical journals which mentioned the word 'racism'. We compiled and evaluated 80 excerpts of text that illustrate racism narratives. Two coders grouped and ordered the excerpts, iteratively revising and refining racism narratives. RESULTS: We developed a qualitative framework of racism narratives, ordered on an anti-racism spectrum from impeding anti-racism to strong anti-racism, consisting of 4 broad categories and 12 granular modalities for classifying racism narratives. The broad narratives were "dismissal," "person-level," "societal," and "actionable." Granular modalities further specified how race-related health differences were related to racism (e.g., natural, aberrant, or structurally modifiable). We curated a "reference set" of example sentences to empirically ground each label. CONCLUSION: We demonstrated racism narratives of dismissal, person-level, societal, and actionable explanations within influential medical articles. Our framework can help clinicians, researchers, and educators gain insight into which narratives have been used to describe the causes of racial and ethnic health inequities, and to evaluate medical literature more critically. This work is a first step towards monitoring racism narratives over time, which can more clearly expose the limits of how the medical community has come to understand the root causes of health inequities. This is a fundamental aspect of medicine's long-term trajectory towards racial justice and health equity.