在卫生中心使用口译员:混合方法分析
Journal of health care for the poor and underserved
|July 19, 2023
概括
对于英语水平有限的患者,卫生中心的语言服务从2009年到2019年有所减少. 尽管面临挑战,但双语员工和虚拟口译模型显示出改善访问的前景.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 在医疗保健中的语言接入.
- 健康 公平 卫生 公平
背景情况:
- 数以百万计的英语水平有限 (LEP) 的患者依赖于医疗中心的护理.
- 这些中心的语言服务高度变化,受患者偏好,双语员工的可用性和资金限制的影响.
- 了解口译服务的提供对于解决医疗保健差异至关重要.
研究的目的:
- 检查2009-2019年联邦合格卫生中心 (FQHC) 提供口译服务的趋势.
- 为了确定FQHC的特点,有和没有专门的口译人员.
- 探索医疗补助政策与口译使用之间的关联,并了解不同的口译服务模式.
主要方法:
- 一种混合方法方法,结合统一数据系统数据库 (2009-2019) 的定量分析和28个FQHC的定性分析.
- 定量分析侧重于口译员员工人数比例和与患者人口统计和政策的关联.
- 定性分析涉及识别和描述"本土"的口译服务模式.
主要成果:
- 2009年至2019年间,每名LEP患者的翻译全职同等人员比例显著下降.
- 在翻译人员人员数量和LEP患者数量之间没有发现统计学上显著的关系,也没有检查的医疗补助政策.
- 定性发现显示了多样化的",本土"模型,培训不一致,但在COVID-19期间向虚拟解释进行了显著的,平稳的过渡.
结论:
- 在FQHC的LEP患者中,翻译服务的使用率有所下降,尽管急需.
- 双语员工发挥着至关重要的作用,但不一致的培训仍然是一个挑战.
- 疫情期间虚拟口译的快速采用凸显了未来服务交付模式的适应性和潜力.
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