Evidence map›Paper›PMID 34741511›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Microaggression clues from social media: revealing and counteracting the suppression of women's health care.

Hyeyoung Ryu, Wanda Pratt

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

2 authors.

Hyeyoung RyuInformation School, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-2589-834X
Wanda PrattInformation School, University of Washington, Seattle, Washington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to demonstrate how analyzing social media posts can uncover microaggressions and generate new cultural insights. We explore why Korean women hesitate to seek recommended gynecological care and how microaggressions visible in social media reveal insights for counteracting such harmful messaging. MATERIALS AND

methodsWe scraped the posts and responses on social media related to unmarried women's uncomfortableness or unpleasantness in receiving gynecological care. We conducted content analyses of the posts and responses with the microaggression framework to identify both the types of microaggressions occurring within and outside the clinic as well as the responsible perpetrators. With an open-coding and subsequent deductive coding approach, we further investigated the socio-cultural context for receiving gynecological care as an unmarried woman in South Korea.

resultsOur analysis uncovered that mothers, male partners, and superficially supportive social media responders contribute to pre- and post-visit microaggressions toward unmarried women seeking gynecological care whereas healthcare providers contribute to only mid-visit microaggressions. We also exposed how social media was not only revealing but also reinforcing the suppression of women's health care. DISCUSSION: Mid-visit microaggressions are currently addressed by cultural competence education, but pre- and post-visit microaggressions are overlooked. We uncover the gaps in current practices of informatics and public health methods and suggest ways to counteract online and offline microaggressions.

conclusionsSocial media provides valuable information about the cultural context of health care and should be used as a source of insights for targeted interventions to improve health care, in this case for unmarried Korean women.

Indexed as

MicroaggressionSocial MediaDelivery of Health CareFemaleHealth FacilitiesHumansMaleWomen's Healthbalancing carecultural competencemicroaggressionssocial mediawomen’s health

Identifiers

PMID34741511
PMCPMC8757297

What OpenQuestion holds

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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.