Koehler Andreas, Becker-Hebly Inga, Elaut Els, Kreukels Baudewijntje, Briken Peer, Heylens Gunter, Steensma Thomas D, Nieder Timo
Institute for Sex Research, Sexual Medicine, and Forensic Psychiatry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Center of Sexology and Gender, University Hospital Ghent, Ghent, Belgium.
Int J Impot Res. 2025 May 8. doi: 10.1038/s41443-025-01085-8.
Treatment requests in transgender healthcare are heterogenous and not all transgender and gender-diverse individuals want to undergo the various transition-related medical interventions offered. This study aims to explore demographic and treatment-related predictors associated with different transgender care pathways in a multicenter, multinational clinical setting. In this follow-up study, 539 adult participants from Belgium, Germany, and the Netherlands took part and were categorized as following a 'traditional' care pathway (i.e., undergoing all transition-related interventions), an 'individual' care pathway (i.e. any course of treatment deviating from the traditional pathway), or 'no care' pathway (i.e. not seeking transition-related medical interventions.). We analyzed differences in demographic (e.g., gender identity) and clinical variables (e.g., treatment satisfaction), conducting logistic regression analysis and descriptive subgroup analysis. Participants with a non-binary gender were 6.7 times more likely to follow an individual care pathway, while participants with higher treatment satisfaction were less likely to follow an individual care pathway (Odds Ratio: 0.6). We identified four patterns of individual transgender care pathways, some as a function of the sex assigned at birth. The present study provides valuable insights into demographic and treatment-related predictors associated with different transgender care pathways. Healthcare providers should be aware of individual transgender care pathways and the association with (non)-binary genders to provide tailored transgender healthcare and ensure individualized, high-quality service provision.
跨性别医疗保健中的治疗需求是多种多样的,并非所有跨性别和性别多样化的个体都希望接受所提供的各种与过渡相关的医疗干预措施。本研究旨在探讨在多中心、跨国临床环境中,与不同跨性别护理途径相关的人口统计学和治疗相关预测因素。在这项随访研究中,来自比利时、德国和荷兰的539名成年参与者参与其中,并被归类为遵循“传统”护理途径(即接受所有与过渡相关的干预措施)、“个体”护理途径(即任何偏离传统途径的治疗过程)或“无护理”途径(即不寻求与过渡相关的医疗干预措施)。我们分析了人口统计学(如性别认同)和临床变量(如治疗满意度)的差异,进行了逻辑回归分析和描述性亚组分析。非二元性别的参与者遵循个体护理途径的可能性是其他参与者的6.7倍,而治疗满意度较高的参与者遵循个体护理途径的可能性较小(优势比:0.6)。我们确定了四种个体跨性别护理途径模式,其中一些与出生时指定的性别有关。本研究为与不同跨性别护理途径相关的人口统计学和治疗相关预测因素提供了有价值的见解。医疗保健提供者应了解个体跨性别护理途径以及与(非)二元性别的关联,以提供量身定制的跨性别医疗保健服务,并确保提供个性化、高质量的服务。
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