Cited by 38LGBTQ Health, Identity, and PolicyHIV/AIDS Research and InterventionsGender, Sexuality, and Education

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Increased ascertainment of transgender and non-binary patients using a 2-step versus 1-step gender identity intake question in an STD clinic setting.

Tordoff, Diana M., Morgan, Jennifer, Dombrowski, Julia C., Golden, Matthew R., Barbee, Lindley A.·2019·Sexually Transmitted Diseases

Abstract

BACKGROUND: Transgender inclusive and gender affirmative healthcare includes asking patients about gender identity and sex assigned at birth through what is known as the "2-step" methodology. In May 2016, the sexually transmitted disease (STD) clinic in Seattle, WA switched from using a 1-step to a 2-step gender identity question. We aimed to determine if the updated questions increased ascertainment of transgender and gender nonconforming (TGNC) patients and used the improved gender identity data to describe the human immunodeficiency virus/STD risk profile of TGNC patients. METHODS: We conducted a pre-post analysis comparing the proportion of patients that identified as TGNC during the year before and after implementation of the 2-step questions. Gender identity and medical history questions were ascertained using a computer-assisted self-interview. The 2-step question included 2 new gender response options: non-binary/genderqueer and write-in. RESULTS: Institution of the 2-step question resulted in a 4.8-fold increase in patients who were identified as TGNC: 36 (0.5%) of 6635 to 172 (2.4%) of 7025 patients (P < 0.001). After implementation, 89 patients identified as non-binary/genderqueer (51.7% of TGNC patients). The proportion of patients identified as transgender men and women increased from 0.2% to 0.5% (P = 0.002) and 0.4% to 0.6% (P = 0.096), respectively. Non-binary patients' human immunodeficiency virus/sexually transmitted infection risk profile was distinct from that of transgender and cisgender men who have sex with men, suggesting that distinguishing subpopulations within the TGNC population is important for risk stratification. CONCLUSIONS: Using a 2-step gender identity question and including non-binary/genderqueer options increased our clinic's ascertainment of TGNC patients and more accurately captured gender identity among STD clinic patients.

Overview

Integrity signals

Registry

Crossref · 10.1097/olq.0000000000000952

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Show all 23 references

Cited by

Sorted by citations

See all 38

Metadata

Authors
Tordoff, D. M., Morgan, J., Dombrowski, J. C., Golden, M. R., & Barbee, L. A.
Affiliations
  • Department of Epidemiology;
  • Public Health – Seattle & King County (US)
Corresponding author
  • Tordoff, Diana M.
  • Dombrowski, Julia C.
  • Golden, Matthew R.
Venue
Sexually Transmitted Diseases
Published
2019-04
Volume
46
Issue
4
Pages
254-259
ISSN
  • 0148-5717 (ISSN-L)
  • 1537-4521
OpenAlex
W2902324068
Cited by
38
References
23
Citations by year
2026: 2 · 2025: 3 · 2024: 6 · 2023: 6 · 2022: 8 · 2021: 7 · 2020: 3 · 2019: 3
FWCI
4.41
Type
journal article
Language
en
Open access
closed
Locations
  • Sexually Transmitted Diseases (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › LGBTQ Health, Identity, and Policy
  • Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
  • Social Sciences › Gender Studies › Gender, Sexuality, and Education
Keywords
STD clinic patients, sexually transmitted infections, gender-affirming care, computer-assisted self-interview, risk stratification
MeSH terms
Ambulatory Care Facilities, Computers, Cross-Sectional Studies, Female, Gender Identity, Humans, Male, Public Health, Surveys and Questionnaires, Sexually Transmitted Diseases, Washington, Transgender Persons

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review