Evidence map›Paper›PMID 38328739›Full record

ArticleFrontiers in sociology2023

Americans do not select their doctors based on race.

Reilly Olinger, Benjamin Matejka, Rohan Chakravarty, Margaret Johnston, Eliana Ornelas, Julia Draves, Nishi Jain, Jane Hentschel, William Owen, Yuchuan Ma and 5 more

Abstract read
In one paragraph

Article in Frontiers in sociology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Reilly OlingerDartmouth College, Hanover, NH, United States.
Benjamin MatejkaDartmouth College, Hanover, NH, United States.
Rohan ChakravartyDartmouth College, Hanover, NH, United States.
Margaret JohnstonDartmouth College, Hanover, NH, United States.
Eliana OrnelasDartmouth College, Hanover, NH, United States.
Julia DravesDartmouth College, Hanover, NH, United States.
Nishi JainDartmouth College, Hanover, NH, United States.
Jane HentschelDartmouth College, Hanover, NH, United States.
William OwenDartmouth College, Hanover, NH, United States.
Yuchuan MaDartmouth College, Hanover, NH, United States.
William MarxDartmouth College, Hanover, NH, United States.
Joshua FreitagDartmouth College, Hanover, NH, United States.
Nicholas ZhangDartmouth College, Hanover, NH, United States.
Cameron GuageDartmouth College, Hanover, NH, United States.
Charles CrabtreeDartmouth College, Hanover, NH, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To what extent do Americans racially discriminate against doctors? While a large literature shows that racial biases pervade the American healthcare system, there has been no systematic examination of these biases in terms of who patients select for medical treatment. We examine this question in the context of the ongoing global COVID-19 pandemic, where a wealth of qualitative evidence suggests that discrimination against some historically marginalized communities, particularly Asians, has increased throughout the United States. Conducting a well-powered conjoint experiment with a national sample of 1,498 Americans, we find that respondents do not, on average, discriminate against Asian or doctors from other systematically minoritized groups. We also find no consistent evidence of treatment effect heterogeneity; Americans of all types appear not to care about the racial identity of their doctor, at least in our study. This finding has important implications for the potential limits of American prejudice.

Indexed as

biasconjoint experimentdiscriminationdoctorsethnicityexperimentrace

Identifiers

PMID38328739
PMCPMC10847235

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.