以数据为导向提高儿童健康质量

Laura E. Duthie
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引用次数: 0

摘要

质量改进(QI)是一种系统的、协调的解决问题的方法(质量改进化繁为简。 健康基金会,2021 年),用于改善医疗保健的安全性、有效性和护理体验。质量改进的方法应积极主动,以患者为中心。在儿科领域,这要求我们在设计改进方案时考虑到儿童和青少年的意见,以确保满足他们的需求。了解质量改进的主要原则和方法对于确保成功实现变革至关重要。然而,在接受培训的医生中,这方面的正规培训非常有限,而且参差不齐。从考虑问题到衡量改进,数据的使用是质量改进的每个阶段的基础。适当使用定量和定性数据有助于实现有意义的变革。本文重点介绍了一些有用的背景知识,供考虑下一个质量改进项目的人员参考。文章强调了数据驱动改进的重要性,同时也详细介绍了最佳实践和挑战,特别是与儿童和青少年有关的挑战。文章还提供了一份实用指南,说明如何在质量改进中以结构化的方式有效使用数据。
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Data-driven quality improvement in child health

Quality improvement (QI) is a systematic and co-ordinated approach to solving a problem (Quality improvement made simple. The Health Foundation, 2021) and is used to improve safety, effectiveness, and experience of care within healthcare. The approach to QI should be pro-active and patient centred. Within paediatrics this requires us to consider the voice of children and young people when designing improvement to ensure we are meeting their needs. Understanding the key principles and methodology of QI is essential to ensure success when bringing about change. However, formal training in this has been limited and variable amongst doctors in training. The use of data underlies every stage of QI from considering the problem, to the measurement of improvement. With the appropriate use of both quantitative and qualitative data being instrumental in bringing about meaningful change. This article highlights provides some helpful background for those considering their next QI project. It stresses the importance of undertaking data driven improvement, whilst also detailing best practise and challenges, particularly in relation to children and young people. It provides a practical guide on how to use data effectively within QI in a structured approach.

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来源期刊
Paediatrics and Child Health (United Kingdom)
Paediatrics and Child Health (United Kingdom) Medicine-Pediatrics, Perinatology and Child Health
CiteScore
1.20
自引率
0.00%
发文量
70
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