Impact of financial well-being on gender affirmation surgery access and hospital course

JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY(2023)

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摘要
Background: Although gender affirmation surgery (GAS) can effectively treat gender dysphoria, it remains one of the most expensive components of gender affirming care. This study aims to identify the impact of financial well-being on GAS access and hospital course in the United States. Methods: The National Inpatient Sample database was queried from 2012 to 2019. US transgender patients undergoing GAS were identified. Predictors included patient sociodemographic variables. Outcomes included hospitalization course variables. Regression modeling was used to assess the relationship between predictor and outcome variables. Significance was set at alpha = 0.05. Results: A total of 5620 weighted GAS encounters were identified (genital surgery 92.3%, chest surgery 16.6%). 1825 (32.5%) patients were in the highest income bracket, compared with 1120 (19.9%) patients in the lowest bracket. Higher income was associated with younger age at the time of GAS. Patients in the highest income quartile were also 3.7 times more likely to be funded by private insurance and self-pay options than those in the lowest income quartile (95% confidence interval [CI]: 3.1-4.4, p < 0.0001). Additionally, patients in the lowest income quartile were 4.2 times more likely to require either home healthcare or transfer to a nursing facility post discharge than those in the highest income quartile (95% CI: 3.1-5.8, p < 0.001). Conclusions: To promote equitable care to transgender patients, efforts to reduce financial barriers to healthcare access are much needed, particularly through broader insurance coverage of GAS procedures. Broadly, our results highlight the impact of socioeconomic variables on healthcare access and outcomes. (c) 2023 British Association of Plastic, Reconstructive and Aesthetic Surgeons. Published by Elsevier Ltd. All rights reserved.
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关键词
Transgender,Gender affirmation surgery,Cost,Disparities,Database,Insurance
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