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利用常规收集的数据推动地方主导的健康改善。

Using routinely gathered data to empower locally led health improvements.

作者信息

Dhillon Arjun, Godfrey Andrew Robert

机构信息

The Argyle Surgery, NHS Ealing, London, UK.

出版信息

London J Prim Care (Abingdon). 2012;5(1):92-5. doi: 10.1080/17571472.2013.11493387. Epub 2013 May 28.

Abstract

Data are routinely used throughout the NHS to report on and monitor performance. For example, detailed information regarding hospital episodes is reported via the Secondary Use Services (SUS) programme. Local commissioners use this data to monitor hospital contracts. In primary care, data such as glycaemic control of diabetes patients is extracted from general practice clinical systems to calculate practice payments for the 'Quality and Outcomes Framework' (QOF). We suggest that this routinely gathered data should also be used to help clusters of practices to learn from locally led innovation and to motivate long-term partnerships for interorganisational health improvement. Following the recent NHS reforms, the number of data sources that could facilitate this is likely to increase in size, variety and complexity. In this paper, we describe some of the existing data sources that could be used to do this; we also describe some of the dangers of using data in this way, and our conclusions about the best way forward.

摘要

国民医疗服务体系(NHS)日常都会使用数据来报告和监控绩效。例如,通过二次利用服务(SUS)计划报告有关医院诊疗情况的详细信息。地方医疗服务采购机构利用这些数据来监控医院合同。在初级医疗中,诸如糖尿病患者血糖控制情况等数据从全科医疗临床系统中提取出来,用于计算“质量与结果框架”(QOF)下的诊疗机构报酬。我们建议,这些常规收集的数据还应用于帮助诊疗机构集群从本地主导的创新中学习,并推动建立长期合作关系以促进组织间的健康改善。随着近期国民医疗服务体系改革的推进,能够助力此事的数据来源数量在规模、种类和复杂性方面可能都会增加。在本文中,我们描述了一些可用于此目的的现有数据来源;我们还阐述了以这种方式使用数据的一些风险,以及我们对于最佳前进方向的结论。

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