Evidence map›Paper›PMID 32821062›Full record

ArticleJournal of medical Internet research2020

Racial and Ethnic Disparities in Patient Experiences in the United States: 4-Year Content Analysis of Twitter.

Yulin Hswen, Jared B Hawkins, Kara Sewalk, Gaurav Tuli, David R Williams, K Viswanath, S V Subramanian, John S Brownstein

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Yulin HswenBoston Children's Hospital, Boston, MA, United States.ORCID 0000-0003-3203-1322
Jared B HawkinsInnovation Program, Boston Children's Hospital, Boston, MA, United States.ORCID 0000-0002-6352-1618
Kara SewalkInnovation Program, Boston Children's Hospital, Boston, MA, United States.ORCID 0000-0002-2917-0869
Gaurav TuliInnovation Program, Boston Children's Hospital, Boston, MA, United States.ORCID 0000-0002-5626-7463
David R WilliamsDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID 0000-0002-8654-6228
K ViswanathDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID 0000-0002-4795-5803
S V SubramanianDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID 0000-0003-2365-4165
John S BrownsteinInnovation Program, Boston Children's Hospital, Boston, MA, United States.ORCID 0000-0001-8568-5317
Boston Children's Hospital · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRacial and ethnic minority groups often face worse patient experiences compared with the general population, which is directly related to poorer health outcomes within these minority populations. Evaluation of patient experience among racial and ethnic minority groups has been difficult due to lack of representation in traditional health care surveys.

objectiveThis study aims to assess the feasibility of Twitter for identifying racial and ethnic disparities in patient experience across the United States from 2013 to 2016.

methodsIn total, 851,973 patient experience tweets with geographic location information from the United States were collected from 2013 to 2016. Patient experience tweets included discussions related to care received in a hospital, urgent care, or any other health institution. Ordinary least squares multiple regression was used to model patient experience sentiment and racial and ethnic groups over the 2013 to 2016 period and in relation to the implementation of the Patient Protection and Affordable Care Act (ACA) in 2014.

resultsRacial and ethnic distribution of users on Twitter was highly correlated with population estimates from the United States Census Bureau's 5-year survey from 2016 (r

conclusionsThe ACA mandated the implementation of the measurement of patient experience of care delivery. Considering that quality assessment of care is required, Twitter may offer the ability to monitor patient experiences across diverse racial and ethnic groups and inform the evaluation of health policies like the ACA.

Indexed as

Delivery of Health CareEthnicityFemaleHumansMaleRacial GroupsSocial MediaTime FactorsUnited Statesdigital epidemiologyhealth disparitieshealth inequitiespatient experiencepolicyraceracial disparitiessocial determinants of healthsocial media

Identifiers

PMID32821062
PMCPMC7474415
OpenAlexW3036857458

What OpenQuestion holds

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LicenceCC BY
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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.