Evidence map›Paper›PMID 39546888›Full record

ReviewReproduction (Cambridge, England)2024

REPRODUCTIVE HEALTH IN TRANS AND GENDER-DIVERSE PATIENTS: Trauma-informed reproductive care for transgender and nonbinary people.

Daphna Stroumsa, Nicholas S Raja, Colin B Russell

Abstract readReview
In one paragraph

Review in Reproduction (Cambridge, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Daphna StroumsaUniversity of Michigan, Department of Obstetrics and Gynecology, Ann Arbor, Michigan, USA.ORCID 0000-0003-1205-3217
Nicholas S RajaUniversity of Michigan, Department of Obstetrics and Gynecology, Ann Arbor, Michigan, USA.
Colin B RussellUniversity of Michigan, Department of Obstetrics and Gynecology, Ann Arbor, Michigan, USA.

Funding

Peer specialist intervention to reduce disparities in the mental health of transgender and nonbinary individualsK23MD016950 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Daphna Stroumsa · 2022 to 2026
$848k
NIMHD NIH HHS K23 MD016950
6 · The paper itself

Abstract

In brief: There are some unique aspects to providing trauma-informed reproductive care to transgender and nonbinary people, who are affected by minority stress, stigma, and particular forms of trauma; we review the evidence and suggest strategies for the provision of trauma-informed reproductive care to gender minorities. Abstract: Stigma and minority stress affect the health of transgender and nonbinary (TGNB) people, leading to disparities across a range of outcomes. Barriers to accessing care, including reproductive care, further complicate these health disparities. Interpersonal stigma within the healthcare system, and high rates of physical and sexual violence survivorship, make TGNB people particularly vulnerable to healthcare trauma and poor care. This is particularly true among TGNB people with multiple intersecting marginalized identities. Trauma-informed care provides a framework for medical practitioners to provide safe, holistic, and sensitive care. Scant academic literature discusses trauma-informed reproductive care for TGNB individuals. We present a narrative review of the evidence for trauma-informed reproductive care for TGNB people and suggest potential application and implementation.

Indexed as

Reproductive HealthSocial StigmaTransgender PersonsFemaleHealthcare DisparitiesHumansMaleSexual and Gender Minoritiesgendernonbinaryreproductionstigmatransgendertrauma-informed care

Identifiers

PMID39546888
PMCPMC11849961

What OpenQuestion holds

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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.