在日本使用行政索赔数据库分析患者共享网络
Tomoki Ishikawa1,2, Akihito Kako3, Hiromasa Yoshimoto3
1Institute For Health Economics and Policy, Japan.
对高血压患者的网络分析显示,随着时间的推移,患者共享的数量越来越多. 密度和中心性等关键网络指标进化,表明高血压患者的医疗保健寻求行为更加相互连接.
科学领域:
- 医疗信息学 医疗信息学
- 网络科学 网络科学
- 流行病学 流行病学
背景情况:
- 患者共享,即个人访问多个医疗保健机构,是一种常见的现象.
- 了解患者共享模式对于医疗保健系统管理和资源分配至关重要.
- 高血压是一种普遍的慢性疾病,需要持续的医疗照顾.
研究的目的:
- 用网络分析分析高血压患者之间的患者共享行为.
- 评估患者共享网络随着时间的推移的结构演变.
- 识别关键的网络指标,以描述医疗机构间的患者移动情况.
主要方法:
- 利用一个管理医疗保健索赔数据库,涵盖2008年9月至2020年.
- 应用网络分析方法来建模患者共享作为图形网络.
- 计算网络密度,互惠性,过渡性,中心性和PageRank以评估网络结构.
主要成果:
- 观察到网络密度,互惠性和过渡性的时间增加.
- 发现患者网络中心性和PageRank得分之间存在显著的相关性.
- 该研究强调了高血压患者如何在医疗保健系统中导航的不断变化的模式.
结论:
- 高血压患者共享网络显示,随着时间的推移,相互联系和复杂性越来越大.
- 网络分析为患者导航和医疗保健利用模式提供了宝贵的见解.
- 这些发现可以为协调护理和医疗保健资源优化策略提供信息.
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