Evidence map›Paper›PMID 33866085›Full record

SynthesisSocial science & medicine (1982)2021

Intersectionality in quantitative health disparities research: A systematic review of challenges and limitations in empirical studies.

Lexi Harari, Chioun Lee

Abstract readSystematic Review
In one paragraph

Synthesis in Social science & medicine (1982), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

96 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

36 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lexi HarariDepartment of Sociology, University of California-Riverside, Riverside, CA, USA.
Chioun LeeDepartment of Sociology, University of California-Riverside, Riverside, CA, USA. Electronic address: chiounl@ucr.edu.

Funding

Research Infrastructure CoreU54MD013368 · NIMHD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CARSON, MONICA J · 2019 to 2023
$15.9M
Gender Differences in Early Life Adversity: Adult Obesity and Cardiovascular RiskR00AG052458 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI LEE, CHIOUN · 2018 to 2020
$713k
Gender Differences in Early Life Adversity: Adult Obesity and Cardiovascular RiskK99AG052458 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LEE, CHIOUN · 2016 to 2017
$218k
NIA NIH HHS K99 AG052458NIA NIH HHS R00 AG052458NIMHD NIH HHS U54 MD013368
6 · The paper itself

Abstract

rationaleQuantitative health disparities research has increasingly employed intersectionality as a theoretical tool to investigate how social characteristics intersect to generate health inequality. Yet, intersectionality was not designed to quantify, predict, or identify health disparities, and, as a result, multiple criticisms against its misapplication in health disparities research have been made. As such, there is an emerging need to evaluate the growing body of quantitative research that aims to investigate health disparities through an intersectional lens.

methodsWe conducted a systematic review from earliest records to January 2020 to (i) describe the scope of limitations when applying intersectionality to quantitative health disparities research, and (ii) identify recommendations to improve the future integration of intersectionality with this scholarship. We identified relevant publications with electronic searches in PubMed and CA Web of Science. Studies eligible for inclusion were English-language publications that used quantitative methodologies to investigate health disparities among adults in the U.S. while explicitly claiming to adopt an intersectional perspective. Out of 1279 articles reviewed, 65 were eligible for inclusion.

resultsOur review found that, while the value of intersectionality to the study of health disparities is evident, the existing research struggles with meeting intersectionality's fundamental assumptions. In particular, four limitations were found to be widespread: narrowing the measurements of intersectionality, intersectional groups, and health outcomes; placing primacy on the study of certain intersectional groups to the neglect of others; overlooking underlying explanatory mechanisms that contribute to the health disparities experienced by intersectional groups; and, lacking in the use of life-course perspectives to show how health disparities vary across different life stages.

conclusionIf the goal of health equality is to be achieved among diverse intersectional groups, future research must be assisted by the collection and examination of data that overcomes these limitations.

Indexed as

Health Status DisparitiesEmpirical ResearchHumansGenderHealth disparitiesHealth equityIntersectionalityQuantitative methodsRace/ethnicitySocial determinants of healthSocioeconomic status

Identifiers

PMID33866085
PMCPMC8119321

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.