Using Self-Identified Gender Identity Data to Advance Health Equity Among Transgender and Gender Diverse Veterans in the Veterans Health Administration

Without diagnosis, SIGI enables the identification of healthier TGD veterans. Regardless of SIGI, diagnosis signals much higher rates of health concerns. SIGI data facilitates understanding veteran subgroups, informing TGD policy and practice.

Authors

Institutions

Publication Details

Journal
Medical Care
Published
2025-09-26
DOI
https://doi.org/10.1097/mlr.0000000000002195
Primary Topic
LGBTQ Health, Identity, and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Self-Identified Gender Identity Data to Advance Health Equity Among Transgender and Gender Diverse Veterans in the Veterans Health Administration

John R. Blosnich, Michael Goodman, Guneet K. Jasuja, Michael Jonah Silverberg et al.
Medical Care
LGBTQ Health, Identity, and Policy
article

Using Self-Identified Gender Identity Data to Advance Health Equity Among Transgender and Gender Diverse Veterans in the Veterans Health Administration

John R. Blosnich, Michael Goodman, Guneet K. Jasuja, Michael Jonah Silverberg, Nicholas A. Livingston, Rajinder Sonia Singh, Julianne E. Brady, Varsha G. Vimalananda, Joel I. Reisman, Jolie B. Wormwood, Jillian C. Shipherd, Mark S. Zocchi
article en

Abstract

Without diagnosis, SIGI enables the identification of healthier TGD veterans. Regardless of SIGI, diagnosis signals much higher rates of health concerns. SIGI data facilitates understanding veteran subgroups, informing TGD policy and practice.

Medical CareVol. 63(11)
Boston University (US), University of Southern California (US), Kaiser Permanente (US), Emory University (US), University of New Hampshire (US), VA Boston Healthcare System (US), Bedford VA Research Corporation (US), VA New England Healthcare System (US), Central Arkansas Veterans Healthcare System (US), National Center for PTSD (US), Office of Patient Care Services (US), VA Pittsburgh Healthcare System (US), University of Arkansas for Medical Sciences (US)
Openalex Percentile: Top 70%
LGBTQ Health, Identity, and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.