使用常规数据改善女同性恋,同性恋,双性恋和跨性别者的健康状况
1Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Interactive journal of medical research
|May 1, 2024
概括
在英国,关于性取向和性别认同的例行数据收集得到了改进,为女同性恋,男同性恋,双性恋,跨性别者,酷尔和其他身份 (LGBTQ+) 健康研究提供了有价值的资源. 这些数据可以被利用来提高健康结果和护理.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 卫生社会学 卫生社会学
背景情况:
- 在过去的十年中,在英国常规健康和政策数据集中收集性取向数据取得了重大进展.
- 对性别认同和跨性别身份的包容性措施越来越多地被纳入这些数据收集中.
- 现有的数据资源为LGBTQ+健康研究提供了实质性的基础,尽管个人数据集的局限性.
研究的目的:
- 审查目前英国对性取向和性别认同的例行数据收集的优点和局限性.
- 探索这些数据在LGBTQ+个体的社会政治和生物医学健康模型中的实用性.
- 为利用常规数据提出一个框架,以改善LGBTQ+健康和医疗保健结果.
主要方法:
- 审查英国现有的例行数据收集,重点关注性取向和性别认同.
- 分析数据访问,样本规模,测量性取向和性别,健康结果和纵向跟踪.
- 考虑LGBTQ+健康的社会政治和生物医学框架.
主要成果:
- 虽然个别数据集有局限性,但组合的例行数据为LGBTQ+健康研究提供了显著的深度.
- 尽管在数据访问和测量方面存在挑战,但使用常规数据分析LGBTQ+健康的能力越来越大.
- 整合性取向和性别认同数据对于理解和解决健康差异至关重要.
结论:
- 总结时,常规数据为LGBTQ+健康研究提供了强大的资源.
- 提出了一个框架,将这些数据转化为可操作的健康改善研究.
- 为数据驱动的健康进步,概述了四种分析方法:描述性流行病学,风险预测,干预开发和影响评估.
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