Evidence map›Paper›PMID 37359949›Full record

ArticleJAMIA open2023

Patterns of gender identity data within electronic health record databases can be used as a tool for identifying and estimating the prevalence of gender-expansive people.

Nicole G Hines, Dina N Greene, Katherine L Imborek, Matthew D Krasowski

Open access · goldAbstract read
In one paragraph

Article in JAMIA open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 14 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

4 authors at 3 institutions in 1 country.

Nicole G HinesCarver College of Medicine, University of Iowa, Iowa City, Iowa, USA.
Dina N GreeneDepartment of Laboratory Medicine, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-6966-9904
Katherine L ImborekDepartment of Family Medicine, University of Iowa, Iowa City, Iowa, USA.
Matthew D KrasowskiDepartment of Pathology, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.ORCID https://orcid.org/0000-0003-0856-8402
University of Iowa · USUniversity of Iowa Hospitals and Clinics · USUniversity of Washington · US

Funding

RESEARCH TRAINING IN INFECTIOUS DISEASEST32AI007343 · NIAID · UNIVERSITY OF IOWA · PI STAPLETON, JACK T. · 1988 to 2024
$5.0M
BLRD VA I01 BX000207NIAID NIH HHS T32 AI007343
6 · The paper itself

Abstract

Objective: Electronic health records (EHRs) within the United States increasingly include sexual orientation and gender identity (SOGI) fields. We assess how well SOGI fields, along with Materials and Methods: The study used a data set of all patients that had in-person inpatient or outpatient encounters at an academic medical center in a rural state between December 1, 2018 and February 17, 2022. Chart review was performed for all patients meeting at least one of the following criteria: differences between legal sex, sex assigned at birth, and gender identity (excluding blank fields) in the EHR SOGI fields; ICD-10 codes related to gender dysphoria or unspecified endocrine disorder; prescription for estradiol or testosterone suggesting use of gender-affirming hormones. Results: Out of 123 441 total unique patients with in-person encounters, we identified a total of 2236 patients identifying as gender-expansive, with 1506 taking gender-affirming hormones. SOGI field differences or ICD-10 codes related to gender dysphoria or both were found in 2219 of 2236 (99.2%) patients who identify as gender-expansive, and 1500 of 1506 (99.6%) taking gender-affirming hormones. For the gender-expansive population, assigned female at birth was more common in the 12-29 year age range, while assigned male at birth was more common for those 40 years and older. Conclusions: SOGI fields and ICD-10 codes identify a high percentage of gender-expansive patients at an academic medical center.

Indexed as

gender identitymedical informaticspathologypopulation healthsextransgender

Identifiers

PMID37359949
PMCPMC10290553
OpenAlexW4381930633

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.