Smith N, Wilson A, Weekes T
Centre for Research in Primary Care, University of Leeds.
BMJ. 1995 Jul 29;311(7000):313-5. doi: 10.1136/bmj.311.7000.313.
General practice has a wealth of data that could be used for purposes such as assessing health needs, planning, and audit. If this potential is to be realised appropriate data must be easily accessible and of high quality. This article describes the experience of an information project team in developing and coding a standard data set, with the aim of meeting the needs of commissioners, public health, and general practitioners. The Read coding classification seemed the logical choice for the standard data set because Read codes are the basis of a standard classification of general practice data. However, the coding structure has several weaknesses that were difficult to resolve, and the standard data set had to be changed to match available codes. This paper may prove helpful to similar project teams attempting to develop and use a standard data set.
全科医疗拥有大量可用于评估健康需求、规划和审计等目的的数据。若要实现这一潜力，合适的数据必须易于获取且质量上乘。本文描述了一个信息项目团队在开发和编码标准数据集方面的经验，旨在满足医疗服务采购机构、公共卫生部门和全科医生的需求。Read编码分类似乎是标准数据集的合理选择，因为Read编码是全科医疗数据标准分类的基础。然而，编码结构存在几个难以解决的弱点，标准数据集不得不进行更改以匹配可用编码。本文可能会对试图开发和使用标准数据集的类似项目团队有所帮助。
