Evidence map›Paper›PMID 34772894›Full record

ArticleSexually transmitted diseases2022

Digital Scarlet Letters: Sexually Transmitted Infections in the Electronic Medical Record.

Sarah Bennett, Denis R Newman-Griffis, Mary Catherine Beach, Marielle Gross

Abstract read
In one paragraph

Article in Sexually transmitted diseases, 2022. 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
–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

2 citing papers in PubMed.

  1. Open forum infectious diseases · 2026
    Article
  2. Patient centered or provider centered? The inclusion of social determinants of health in emergency department billing and coding.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sarah BennettFrom the Department of Obstetrics and Gynecology, Magee Womens Hospital, University of Pittsburgh Medical Center.
Denis R Newman-GriffisDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA.
Mary Catherine BeachJohns Hopkins University School of Medicine, Baltimore, MD.
Marielle GrossFrom the Department of Obstetrics and Gynecology, Magee Womens Hospital, University of Pittsburgh Medical Center.

Funding

The internship in Biomedical Research, Informatics, and Computer Science (iBRIC): Biomedical Informatics and Data Science research experiences for students from Minority Serving InstitutionsT15LM007059 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRY S HOCHHEISER · 1987 to 2026
$23.9M
NLM NIH HHS T15 LM007059
6 · The paper itself

Abstract

abstractThe harms of implicit bias in clinical settings are acknowledged but poorly understood and difficult to overcome. We discuss how structural components of electronic medical record (EMR) user interfaces may contribute to sex and gender-based discrimination against patients via constant, duplicative presentation of stigmatizing sexually transmitted infection (STI) data irrespective of clinical significance. Via comparison with symbolism and representative quotes in Hawthorne's 1850 novel The Scarlet Letter, we propose a metaphor to examine how EMRs function as a platform for moral judgment, which may display an indelible "scarlet letter" for pregnant patients with STI history. We consider whether current depictions of STIs in EMRs are structurally unjust and may contribute to biased treatment by directing attention to violations of hegemonic sex/gender norms regarding sexual behavior and thus triggering moral judgments of maternal fitness. We conclude with recommendations for how to address these challenges to improve ethical stewardship of sensitive sexual/reproductive health data.

Indexed as

HIV InfectionsSexual HealthSexually Transmitted DiseasesElectronic Health RecordsFemaleHumansMaleSexual Behavior

Identifiers

PMID34772894
PMCPMC9272463

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.