Department of Family, Community, and Mental Health Systems, University of Virginia School of Nursing, Charlottesville, VA.
Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA.
J Pediatr. 2024 Apr;267:113911. doi: 10.1016/j.jpeds.2024.113911. Epub 2024 Jan 11.
To explore the impact of telemedicine on access to gender-affirming care for rural transgender and gender diverse youth.
A retrospective analysis of data drawn from the electronic medical records of a clinic that provides approximately 10 000 adolescent and young adult visits per year and serves patients seeking gender health care. The no-show rate was examined as a proxy for access to care due to anticipated challenges with recruiting a representative sample of a historically marginalized population. Logistic regression with generalized estimating equations was conducted to model the association between the odds of a no-show visit and covariates of interest.
Telemedicine visits, rural home address, gender health visits, longer travel time, and being younger than 18 years old were associated with lower odds of a no-show in univariate models (n = 17 928 visits). In the adjusted model, the OR of no-shows for gender health visits was 0.56 (95% CI 0.42-0.74), adjusting for rurality, telemedicine, age (< or >18 years), and travel time to the clinic.
In this study, telemedicine was associated with reduced no-shows overall, and especially for rural, transgender and gender diverse youth, and patients who hold both identities. Although the no-show rate does not fully capture barriers to access, these findings provide insight into how this vulnerable population may benefit from expanded access to telemedicine for rural individuals whose communities may lack providers with the skills to serve this population.
探索远程医疗对农村跨性别和性别多样化青年获得性别肯定护理的影响。
对一家诊所电子病历数据的回顾性分析,该诊所每年提供约 10000 次青少年和成年就诊服务,并为寻求性别健康护理的患者提供服务。由于预计招募一个历史上处于边缘地位的代表性人群存在挑战,因此将失约率作为获得护理的替代指标进行检查。使用广义估计方程的逻辑回归来对失约访问的几率与感兴趣的协变量之间的关联进行建模。
在单变量模型中(n=17928 次就诊),远程医疗就诊、农村家庭住址、性别健康就诊、较长的旅行时间以及年龄小于 18 岁与较低的失约几率相关。在调整后的模型中,性别健康就诊的失约几率的 OR 为 0.56(95%CI 0.42-0.74),调整了农村性、远程医疗、年龄(<18 岁或>18 岁)和前往诊所的旅行时间。
在这项研究中,远程医疗总体上与减少失约相关,特别是对于农村地区的跨性别和性别多样化青年以及同时具有这两种身份的患者而言。尽管失约率不能完全反映获得服务的障碍,但这些发现提供了一些见解,说明对于那些社区缺乏有能力为这一人群服务的提供者的农村个人来说,扩大远程医疗的获得可能会使这个弱势群体受益。