Evidence map›Paper›PMID 39309785›Full record

ArticleHeliyon2024

Comparative study of trans* healthcare models in Catalonia.

Maria Presague-Peciña, Pepita Giménez-Bonafé

Abstract read
In one paragraph

Article in Heliyon, 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

2 authors.

Maria Presague-PeciñaFaculty of Medicine and Life Sciences, Dr Aiguader Building, Pompeu Fabra University, 08003, Barcelona, Spain.
Pepita Giménez-BonaféDepartment of Physiological Sciences, Physiology Unit, Faculty of Medicine and Health Sciences, Bellvitge Campus, Universitat de Barcelona, IDIBELL, 08907, L'Hospitalet del Llobregat, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stigma and discrimination against the trans* community have been shown to exacerbate mental health issues among its members. In Catalonia, the Gender Identity Unit at the Clinic's Hospital traditionally adhered to a biomedical model (BMM) of health for trans* individuals. However, a few years ago, the Transit Service introduced a biopsychosocial model (BPSM). This observational cohort study explores the mental health effects in BMM compared to BPSM centers for trans* individuals. A web-based survey was employed to gather essential data, such as socio-demographics information, and mental health outcomes. All data was analyzed from the BPSM group (n = 81) and the BMM group (n = 21). The BPSM group exhibited statistically significant lower odds of experiencing emotional distress (p < 0.001). Other mental health outcomes indicated a trend toward lower odds in the BPSM group compared to the BMM group. Nevertheless, the prevalence of mental health problems were much higher than expected in general popupation, both groups presented depression rates of 35 % and 25.7 %, and anxiety rates of 45 % and 41.9 % (BMM and BPSM, respectively). Furthermore, these differences were also found when comparing to general population in Catalonia. Therefore, there is a pressing need to shift away from paternalistic medical roles and move towards informed decision-making and progressive autonomy. Perceiving the trans* experience as an individual desease, rather than an effect of societal norms on dissident bodies, has detrimental effects for the community. Additionally, the scientific community should listen to the demands of the trans* community and create space for trans* researchers in the production of knowledge.

Indexed as

Biomedical modelBiopsychosocial modelGender diversityMental healthPathologizationTrans* health

Identifiers

PMID39309785
PMCPMC11414487

What OpenQuestion holds

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Registered trials

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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.