Inequality in the Origins and Experiences of Pain: What “Big (Qualitative) Data” Reveal About Social Suffering in the United States

This study examines how Americans’ narratives of pain are connected to social inequalities using more than 1,500 in-depth interviews collected as part of the American Voices Project. Our novel mixed-method approach to these “big (qualitative) data” uses machine learning and qualitative analysis to demonstrate that discussions of physical pain are prevalent across groups, but narrative content varies by demographics including educational background and gender identity. Our findings demonstrate (1) that pain is commonly described as a challenge that shapes everyday life, (2) that pain narratives often invoke morality and distinction, and (3) that narratives diverge around discussions of unequal medical treatment, illness identities, vulnerability and suffering. We discuss the implications of our findings for scholarship on inequality and experience, social scientific methods, and health policy.

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Publication Details

Journal
RSF The Russell Sage Foundation Journal of the Social Sciences
Published
2024-08-20
DOI
https://doi.org/10.7758/rsf.2024.10.5.02
Citations
6
Primary Topic
Health, psychology, and well-being
Type
article
Field-Weighted Citation Impact
5.10
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article

Inequality in the Origins and Experiences of Pain: What “Big (Qualitative) Data” Reveal About Social Suffering in the United States

Corey M. Abramson, Zhuofan Li, Tara Prendergast, Martín Sánchez‐Jankowski
6 citations
RSF The Russell Sage Foundation Journal of the Social Sciences
Health, psychology, and well-being
5.10
article

Inequality in the Origins and Experiences of Pain: What “Big (Qualitative) Data” Reveal About Social Suffering in the United States

Corey M. Abramson, Zhuofan Li, Tara Prendergast, Martín Sánchez‐Jankowski
article en
6 citations

Abstract

This study examines how Americans’ narratives of pain are connected to social inequalities using more than 1,500 in-depth interviews collected as part of the American Voices Project. Our novel mixed-method approach to these “big (qualitative) data” uses machine learning and qualitative analysis to demonstrate that discussions of physical pain are prevalent across groups, but narrative content varies by demographics including educational background and gender identity. Our findings demonstrate (1) that pain is commonly described as a challenge that shapes everyday life, (2) that pain narratives often invoke morality and distinction, and (3) that narratives diverge around discussions of unequal medical treatment, illness identities, vulnerability and suffering. We discuss the implications of our findings for scholarship on inequality and experience, social scientific methods, and health policy.

RSF The Russell Sage Foundation Journal of the Social SciencesVol. 10(5)
University of Arizona (US), Rice University (US), Virginia Tech (US), University of California, Berkeley (US)
Gender equality
Openalex Percentile: Top 5%
Health, psychology, and well-being
5.10
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