儿童专科护理中虚拟护理公平使用的评估。

Robin D Deliva, Kyle Tsang, Parham Manafzadehtabriz, Ashley Graham, Rebecca Comrie, Mark R Palmert
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引用次数: 0

摘要

目的:远程医疗和广义上的虚拟医疗是既定的卫生保健提供模式,但可能会给获取带来意想不到的障碍。我们评估了大流行后的门诊服务,以确定边缘地区在虚拟访问中是否代表性不足。方法:我们回顾性分析了396,624次门诊就诊(2022年1月至2023年12月),使用患者人口统计数据和安大略边缘化指数,比较了居住不稳定、物质剥夺、依赖性和种族集中等领域的虚拟(78%的电子健康记录集成视频)和面对面就诊。逻辑回归用于比较虚拟访问和面对面访问,调整年龄、性别和地理位置。结果:我们发现偏远地区儿童的虚拟护理使用率更高(41% [OR: 1.72{1.66-1.78}]),并且各个年龄组的虚拟护理使用率逐渐提高。1-12岁儿童的虚拟护理使用率为27% (OR: 1.57 [1.53-1.62]);12-16岁青少年为33% (OR: 2.02 [1.96-2.09]);16岁以上为38% (OR: 2.56[2.49-2.64]),而婴儿为19%。居住不稳定、依赖和物质剥夺指数对虚拟护理的获取影响最小;然而,与种族集中程度最低的地区相比,种族集中程度高的地区的虚拟访问量明显减少(26.1% vs. 35.0%;调整OR: 0.65[0.63-0.67])。在种族集中指数中,边缘化每增加五分之一,虚拟访问的几率就会降低11%。结论:距离越远,虚拟医疗服务使用率越高,而在种族集中地区,虚拟医疗服务使用率越低。进一步调查针对语言障碍、技术素养和文化信仰的策略是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Equitable Use of Virtual Care in Pediatric Specialized Care.

Objective: Telemedicine and broadly, virtual care are established modes of health care delivery but may present unintended barriers to access. We assessed postpandemic ambulatory care provision to determine whether marginalized areas were underrepresented among virtual visits. Methods: We retrospectively analyzed 396,624 ambulatory visits (January 2022 through December 2023), using patient demographics and the Ontario Marginalization Index to compare virtual (78% electronic health record-integrated video) and in-person visits across the domains of residential instability, material deprivation, dependency, and ethnic concentration. Logistic regression was used to compare virtual to in-person visits, adjusting for age, sex, and geographic location. Results: We found higher virtual care utilization for children in remote areas (41% [OR: 1.72 {1.66-1.78}]) and progressively higher virtual care utilization across age groups. Virtual care use for children aged 1-12 was 27% (OR: 1.57 [1.53-1.62]); for adolescents aged 12-16 was 33% (OR: 2.02 [1.96-2.09]); and for those over 16 years was 38% (OR: 2.56 [2.49-2.64]), compared to infants (19%). Indices of residential instability, dependency, and material deprivation had minimal impact on access to virtual care; however, areas with high ethnic concentrations had significantly fewer virtual visits compared to the least ethnically concentrated areas (26.1% vs. 35.0%; adjusted OR: 0.65 [0.63-0.67]). Each quintile increase in marginalization within the ethnic concentration index was associated with an 11% decrease in the odds of a virtual visit. Conclusions: Virtual care use was higher for those at greater distance but lower in ethnically concentrated areas. Further investigation of strategies targeting language barriers, technological literacy, and cultural beliefs is warranted.

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