在美国各县,社会脆弱性、较低的宽带互联网接入和乡村性与较低的远程医疗使用有关。

IF 3.4 Q2 HEALTH CARE SCIENCES & SERVICES
JAMIA Open Pub Date : 2025-07-26 eCollection Date: 2025-08-01 DOI:10.1093/jamiaopen/ooaf056
Mollie R Cummins, Bob Wong, Neng Wan, Jiuying Han, Sukrut D Shishupal, Ramkiran Gouripeddi, Julia Ivanova, Asiyah Franklin, Jace Johnny, Triton Ong, Brandon M Welch, Brian E Bunnell
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引用次数: 0

摘要

目的:我们的目标是通过对真实世界远程医疗数据的大规模分析,确定美国各地的社会脆弱性、宽带接入和乡村性与远程医疗使用之间的关系。材料和方法:我们对发生在2022年1月1日至2022年12月31日的美国双元远程医疗会议进行了回顾性观察研究,这些会议与2020年疾病控制和预防中心的社会脆弱性指数(SVI)和国家卫生统计中心的城乡分类方案有关。我们使用多项式回归和数据可视化研究了县级远程医疗使用率(每1000人的会话)与SVI指数、宽带互联网接入和农村分类的关系。结果:我们发现整体社会和社会经济地位脆弱性与远程医疗使用之间存在负的非线性关联。城市县的远程医疗率高于农村县。根据社会脆弱性和宽带接入情况,城市县的远程医疗使用存在较大差异。讨论:农村和宽带接入对远程医疗使用的影响大于社会脆弱性,社会脆弱性、宽带接入和远程医疗使用之间的关系在农村和城市地区有所不同。结论:这项对近800万美国远程医疗会议的观察性研究表明,乡村性和宽带接入是远程医疗使用的关键驱动因素,在决定社区级远程医疗使用方面,可能比许多社会脆弱性更重要。我们还发现,在农村和城市县之间,以及在不同的宽带接入水平上,社会脆弱性与远程医疗使用之间的关系存在细微差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Social vulnerability, lower broadband internet access, and rurality associated with lower telemedicine use in U.S. Counties.

Social vulnerability, lower broadband internet access, and rurality associated with lower telemedicine use in U.S. Counties.

Social vulnerability, lower broadband internet access, and rurality associated with lower telemedicine use in U.S. Counties.

Objective: Our objective was to determine how social vulnerabilities, broadband access, and rurality relate to telemedicine use across the United States through large-scale analysis of real-world telemedicine data.

Materials and methods: We conducted a retrospective, observational study of dyadic U.S. telemedicine sessions that occurred January 1, 2022 to December 31, 2022, linked to the 2020 Centers for Disease Control and Prevention Social Vulnerability Index (SVI) and the National Center for Health Statistics Urban-Rural Classification Scheme for Counties. We examined county-level telemedicine use rates (sessions per 1000 population) in relation to SVI indexes, broadband internet access, and rurality classifications using polynomial regression and data visualization.

Results: We found a negative, nonlinear association between overall social and socioeconomic status vulnerabilities and telemedicine use. Telemedicine rates in urban counties exceeded that of rural counties. There was more variability in telemedicine use for the urban counties according to social vulnerability and broadband access.

Discussion: Rurality and broadband access demonstrated a greater effect on telemedicine use than social vulnerability, and the relationship between social vulnerability, broadband access, and telemedicine use differed for rural versus urban areas.

Conclusion: This observational study of nearly 8 million U.S. telemedicine sessions showed that rurality and broadband access are key drivers of telemedicine use and may be more important than many social vulnerabilities in determining community-level telemedicine use. We also found nuanced differences in the relationship between social vulnerability and telemedicine use between rural and urban counties, and at different levels of broadband access.

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来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
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