在初级保健中开发电子健康记录可提取的骨质疏松症质量指标:随机修改的Delphi方法
Elize Heymans1, Elisabeth Segaert1, Bert Vaes1
1Department of Public Health and Primary Care, Academic Center For General Practice, KU Leuven, Kapucijnenvoer 7 Blok H, Box 7001, 3000, Leuven, Belgium.
BMC primary care
|May 5, 2025
概括
这项研究开发了34个基于证据的质量指标,用于初级保健中的骨质疏松症管理. 这些指标可以通过电子健康记录提取,旨在提高全科医生的骨质疏松症护理质量.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 初级医疗保健医学 一级医疗保健医学
- 医疗信息学 医疗信息学
背景情况:
- 骨质疏松症是全球普遍存在的健康问题,往往诊断不足,治疗不足.
- 一般医生 (GPs) 在骨质疏松症的预防和管理中发挥着至关重要的作用.
- 电子健康记录 (EHR) 提供了识别有风险的患者和改善护理质量的潜力.
研究的目的:
- 为骨质疏松症开发基于证据的和可从EHR提取的质量指标 (QI).
- 提高骨质疏松症患者在初级保健机构的护理质量.
主要方法:
- 使用了经过修改的Delphi方法 (RAND/UCLA).
- 从符合"SMART"标准的基于证据的指南中选择了建议.
- 一个由全科医生,专家和EHR专家组成的专家小组评估和完善了建议.
主要成果:
- 为骨质疏松症生成了34个基于证据的质量指标.
- 目前,这些指标中有13个可以从比利时的电子健康记录系统中提取出来.
- 这个过程涉及文献审查,专家小组评估和共识会议.
结论:
- 开发的34个智商集支持全科医生管理骨质疏松症.
- 使用EHR可提取的QA的自动审计和反可以提高骨质疏松症护理质量.
- 该倡议解决了在初级保健中改善骨质疏松症检测和治疗的需求.
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