[以远程皮肤科为例,远程医疗应用实现全民保健服务覆盖的潜力]。

IF 1.4 Q4 HEALTH POLICY & SERVICES
Anne Kis, Christina Sorbe, Matthias Augustin, Marina Otten, Jobst Augustin
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引用次数: 0

摘要

背景:远程医疗应用被认为具有解决区域卫生服务不足的巨大潜力。然而,目前尚不清楚远程医疗在多大程度上能够真正有助于确保医疗服务不足地区的护理。本研究的目的是前瞻性地确定服务不足的地区,并以远程皮肤科为例调查远程医疗应用的潜力。方法:使用选定的指标确定服务良好的地区。每个指标都有分数,加起来就是两个分数。对结果进行空间自相关分析(Moran’s I),并将其可视化为双变量样面图。宽带可用性数据(BMVI)和描述性统计数据(Spearman’s Rho, Beeswarm图)用于分析远程医疗应用的潜力。所有分析均在县一级进行。结果:在401个县中,159个县因其供应状况可被列为易危县。它们主要位于德国的西北部。在当地,存在基础设施不足,即远程医疗应用的带宽不足。Spearman's Rho显示宽带可用性与获得的分数之间呈负相关(ρ: -0.654/-0.229, p < 0.001)。结论:研究结果表明,区域差异正在巩固。如果确定的地区居住着行动不便的患者和社会处境不利的患者,则存在“护理方面的双重差距”的风险。在需求和工作量不断增加的背景下,应消除远程医疗的障碍,特别是在已确定的领域,并应实施替代护理模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[The potential of telemedicine applications to achieve universal health service coverage using the example of teledermatology].

Background: Telemedicine applications are perceived as having great potential to address regional health service deficits. However, it is unclear to what extent telemedicine can actually contribute to ensuring care in medically underserved regions. The aim of this study is to prospectively identify underserved regions and to investigate the potential of telemedicine applications using teledermatology as an example.

Methods: Well-served regions were identified using selected indicators. Points were awarded for each indicator and added up to form two scores. The results were analyzed for spatial autocorrelation (Moran's I), and visualized as a bivariate choropleth map. Data on broadband availability (BMVI) and descriptive statistics (Spearman's Rho, Beeswarm plots) were used to analyze the potential for telemedicine applications. All analyses were carried out at county level.

Results: Out of 401 counties, 159 can be classified as vulnerable because of their supply situation. They are mainly located in the north-west part of Germany. Locally, there are infrastructure deficits, i. e. insufficient bandwidth for telemedicine applications. Spearman's Rho shows negative correlations between broadband availability and the scores obtained (ρ: -0.654/-0.229, p < 0.001).

Conclusions: The results indicate a consolidation of regional disparities. If the identified regions are inhabited by patients with limited mobility and by socially disadvantaged patients, there is a risk of "double gaps in care". In the context of an increasing demand and workload, barriers to telemedicine should be removed, especially in the identified areas, and alternative care models should be implemented.

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来源期刊
CiteScore
1.90
自引率
18.20%
发文量
129
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