Suppr超能文献

采用德尔菲法开发慢性阻塞性肺疾病初级保健质量指标。

Development of primary care quality indicators for chronic obstructive pulmonary disease using a Delphi-derived method.

机构信息

Department of Public Health and Primary Care, Academic Center For General Practice, KU Leuven, Kapucijnenvoer 7 blok H, Box 7001, 3000, Leuven, Belgium.

出版信息

NPJ Prim Care Respir Med. 2022 Mar 18;32(1):12. doi: 10.1038/s41533-022-00276-w.

Abstract

High-quality care for patients with COPD is necessary. To achieve quality improvement in primary care, the general practitioner and the electronic health record (EHR) play an important role. The aim of this study was to develop a set of evidence-based and EHR extractable quality indicators (QIs) to measure and improve the quality of COPD primary care. We composed a multidisciplinary expert panel of 12 members, including patients, and used a RAND-modified Delphi method. The SMART principle was applied to select recommendations and QIs from international guidelines as well as existing sets of QIs, and these recommendations and QIs were added to an individual written questionnaire. Based on the median score, prioritization and degree of agreement, the recommendations and QIs were rated as having a high, uncertain or low potential to measure the quality of COPD primary care and were then discussed in an online consensus meeting for inclusion or exclusion. After a final validation, a core set of recommendations was translated into QIs. From 37 recommendations, obtained out of 10 international guidelines, and 5 existing indicators, a core set of 18 recommendations and 2 QIs was derived after the rating procedure. The expert panel added one new recommendation. Together, the recommendations and QIs were translated and merged into a final set of 21 QIs. Our study developed a set of 21 evidence-based and EHR-extractable QIs for COPD in primary care. These indicators can be used in an automated quality assessment to measure and improve the quality of COPD primary care.

摘要

为患者提供高质量的 COPD 护理非常必要。为了实现初级保健质量的提升,全科医生和电子健康记录(EHR)发挥着重要作用。本研究旨在制定一套基于循证医学且可从 EHR 中提取的质量指标(QIs),以衡量和改善 COPD 初级保健的质量。我们由 12 名成员组成了一个多学科专家小组,其中包括患者,并使用 RAND 改良 Delphi 方法。应用 SMART 原则从国际指南和现有的 QI 集选择推荐意见和 QIs,并将这些推荐意见和 QIs 添加到个人书面问卷中。基于中位数评分、优先级和一致性程度,将推荐意见和 QIs 评定为具有较高、不确定或较低的潜力来衡量 COPD 初级保健的质量,然后在在线共识会议上进行讨论,以确定纳入或排除。经过最终验证,一组核心推荐意见被转化为 QIs。从 10 项国际指南中获得的 37 项推荐意见和 5 项现有指标中,经过评分程序后得出了包含 18 项推荐意见和 2 项 QIs 的核心集。专家组添加了一条新的推荐意见。最终,这些推荐意见和 QIs 被翻译成中文并合并成一组共 21 项 QIs。本研究制定了一套 21 项基于循证医学且可从 EHR 中提取的 COPD 初级保健质量指标。这些指标可用于自动质量评估,以衡量和改善 COPD 初级保健的质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de2b/8933430/2f36ce3aba65/41533_2022_276_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验