Evidence map›Paper›PMID 34435689›Full record

ReviewSociology of health & illness2021

Sociological contributions to race and health: Diversifying the ontological and methodological agenda.

Hyeyoung Oh Nelson, Karen Lutfey Spencer

Open access · greenAbstract readReview
In one paragraph

Review in Sociology of health & illness, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Palliative care and social practice · 2022
    Article
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 at 1 institution in 1 country.

Hyeyoung Oh NelsonDepartment of Health and Behavioral Sciences, University of Colorado-Denver, Denver, Colorado, USA.ORCID 0000-0002-2691-4551
Karen Lutfey SpencerDepartment of Health and Behavioral Sciences, University of Colorado-Denver, Denver, Colorado, USA.ORCID 0000-0003-2975-8125
University of Colorado Health · US

Funding

University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
NICHD NIH HHS P2C HD066613
6 · The paper itself

Abstract

Sociologists have made fundamental contributions to the study of race and health in the United States. They have disrupted biological assumptions of race, uncovered individual and structural factors that drive racial health disparities and explored the effects of racism on health. In recent years, however, with broader shifts towards big data, the work to understand the dynamics between race and health has been increasingly pursued from a quantitative perspective. Often, such analyses isolate intermediary mechanisms to further explain race as a cause of disease. While important, these approaches potentially limit our investigations of underlying assumptions about race and the complexity of this critical social construct. We argue that the resulting dearth of qualitative research on race and health substantially limits the knowledge being produced. After providing an overview of the overwhelming shift towards quantitative methods in the study of race and health, we present three areas of study that would benefit from greater qualitative inquiry as follows: (1) Healthy Immigrant Effect, (2) Maternal Health and (3) End-of-Life Care. We conclude with a call to the discipline to embrace the critical role of qualitative research in exploring the dynamics of race and health in the United States.

Indexed as

RacismHumansQualitative ResearchUnited Statesethnographyqualitative methodsraceracism

Identifiers

PMID34435689
PMCPMC8900670
OpenAlexW3193672737

What Socratic 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 Socratic graph.