长途护理连续性和可避免的住院治疗:基于索赔的措施的应用
Shou-Hsia Cheng1,2, Chi-Chen Chen3, Yueh-Yun Lin4
1Institute of Health Policy and Management, College of Public Health, National Taiwan University, Room 618, 17, Hsu-Chow Road, Taipei, 100, Taiwan. shcheng@ntu.edu.tw.
BMC health services research
|May 27, 2023
概括
持续护理 (COC) 对患者健康至关重要. 这项研究引入了一项新的指标,即提供者持续时间指数 (PDCI),使用索赔数据,显示其对可避免的住院治疗的影响.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
背景情况:
- 持续护理 (COC) 对患者与医生的关系至关重要.
- 传统的COC测量依赖于患者调查.
- 这项研究引入了一种使用纵向索赔数据的新方法.
研究的目的:
- 使用索赔数据开发和验证提供者持续时间连续性指数 (PDCI).
- 评估PDCI与现有的COC措施之间的协议.
- 调查不同COC措施对可避免的住院住院的影响,跨越并发症水平.
主要方法:
- 利用台湾全国医疗保险索赔数据 (2014-2017年) 的4年面板.
- 分析了328,044名患者,每年至少3次去看医生.
- 构建了两个PDCI,并使用相关性分析和概括估计方程将它们与三个已建立的COC指标进行了比较.
主要成果:
- 在传统的COC指标中观察到很高的相关性 (γ = 0.7870.958).
- 在两种PDCI测量 (γ = 0.5770.579) 之间发现了适度的相关性.
- 传统的COC指标和PDCI之间存在较低的相关性 (γ = 0.0010.257),表明不同的测量领域. 所有的COC措施都显示出对可避免的住院治疗的保护作用.
结论:
- 通过PDCI测量的医生与患者互动的持续时间是评估COC的独立和重要因素.
- PDCI提供了关于护理连续性的有价值,数据驱动的观点.
- 有效的COC测量,包括持续时间,与改善医疗保健结果和减少住院治疗有关.
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