Evidence map›Paper›PMID 29114436›Full record

ArticleJournal of pathology informatics2017

Preferred Names, Preferred Pronouns, and Gender Identity in the Electronic Medical Record and Laboratory Information System: Is Pathology Ready?

Katherine L Imborek, Nicole L Nisly, Michael J Hesseltine, Jana Grienke, Todd A Zikmund, Nicholas R Dreyer, John L Blau, Maia Hightower, Robert M Humble, Matthew D Krasowski

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Use of chosen names in electronic health records to promote transgender inclusivity.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  7. Article
  8. Words matter: The language of difference in human genetics.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    Article
  9. Article
  10. Which reference range should we use for transgender and gender diverse patients?The Journal of clinical endocrinology and metabolism · 2021
    Article
  11. Article
  12. A rapid review of gender, sex, and sexual orientation documentation in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2020
    Review
  13. Article
  14. Article
  15. 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

10 authors.

Katherine L ImborekDepartment of Family Medicine, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Nicole L NislyDepartment of Internal Medicine, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Michael J HesseltineDepartment of Ambulatory Care Services, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Jana GrienkeCenter of Excellence in Image Guided Radiation Therapy, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Todd A ZikmundDepartment of Health Care Information Services, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Nicholas R DreyerDepartment of Health Care Information Services, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
John L BlauDepartment of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Maia HightowerDepartment of Internal Medicine, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Robert M HumbleCarver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Matthew D KrasowskiDepartment of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic medical records (EMRs) and laboratory information systems (LISs) commonly utilize patient identifiers such as legal name, sex, medical record number, and date of birth. There have been recommendations from some EMR working groups (e.g., the World Professional Association for Transgender Health) to include preferred name, pronoun preference, assigned sex at birth, and gender identity in the EMR. These practices are currently uncommon in the United States. There has been little published on the potential impact of these changes on pathology and LISs.

methodsWe review the available literature and guidelines on the use of preferred name and gender identity on pathology, including data on changes in laboratory testing following gender transition treatments. We also describe pathology and clinical laboratory challenges in the implementation of preferred name at our institution.

resultsPreferred name, pronoun preference, and gender identity have the most immediate impact on the areas of pathology with direct patient contact such as phlebotomy and transfusion medicine, both in terms of interaction with patients and policies for patient identification. Gender identity affects the regulation and policies within transfusion medicine including blood donor risk assessment and eligibility. There are limited studies on the impact of gender transition treatments on laboratory tests, but multiple studies have demonstrated complex changes in chemistry and hematology tests. A broader challenge is that, even as EMRs add functionality, pathology computer systems (e.g., LIS, middleware, reference laboratory, and outreach interfaces) may not have functionality to store or display preferred name and gender identity.

conclusionsImplementation of preferred name, pronoun preference, and gender identity presents multiple challenges and opportunities for pathology.

Indexed as

Clinical laboratory information systemelectronic health recordsgender dysphoriamedical informaticstransgender

Identifiers

PMID29114436
PMCPMC5653959

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.