Call for consistent coding in diabetes mellitus using the Royal College of General Practitioners and NHS pragmatic classification of diabetes.

Simon de Lusignan, Khaled Sadek, Helen McDonald, Pete Horsfield, Norah Hassan Sadek, Aumran Tahir, Terry Desombre, Kamlesh Khunti
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引用次数: 11

Abstract

Background: The prevalence of diabetes is increasing with growing levels of obesity and an aging population. New practical guidelines for diabetes provide an applicable classification. Inconsistent coding of diabetes hampers the use of computerised disease registers for quality improvement, and limits the monitoring of disease trends.

Objective: To develop a consensus set of codes that should be used when recording diabetes diagnostic data.

Methods: The consensus approach was hierarchical, with a preference for diagnostic/disorder codes, to define each type of diabetes and non-diabetic hyperglycaemia, which were listed as being completely, partially or not readily mapped to available codes. The practical classification divides diabetes into type 1 (T1DM), type 2 (T2DM), genetic, other, unclassified and non-diabetic fasting hyperglycaemia. We mapped the classification to Read version 2, Clinical Terms version 3 and SNOMED CT.

Results: T1DM and T2DM were completely mapped to appropriate codes. However, in other areas only partial mapping is possible. Genetics is a fastmoving field and there were considerable gaps in the available labels for genetic conditions; what the classification calls 'other' the coding system labels 'secondary' diabetes. The biggest gap was the lack of a code for diabetes where the type of diabetes was uncertain. Notwithstanding these limitations we were able to develop a consensus list.

Conclusions: It is a challenge to develop codes that readily map to contemporary clinical concepts. However, clinicians should adopt the standard recommended codes; and audit the quality of their existing records.

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呼吁使用皇家全科医师学院和NHS糖尿病实用分类对糖尿病进行一致的编码。
背景:糖尿病的患病率随着肥胖水平的增加和人口老龄化而增加。新的糖尿病实用指南提供了一种适用的分类。不一致的糖尿病编码阻碍了计算机化疾病登记的使用以提高质量,并限制了对疾病趋势的监测。目的:为糖尿病诊断数据的记录制定一套统一的编码。方法:共识方法是分层的,优先使用诊断/紊乱代码,定义每种类型的糖尿病和非糖尿病性高血糖,将其列为完全,部分或不容易映射到可用代码。实用的分类将糖尿病分为1型(T1DM)、2型(T2DM)、遗传性、其他、未分类和非糖尿病性空腹高血糖。我们将分类映射到Read version 2, Clinical Terms version 3和SNOMED CT。结果:T2DM和T1DM完全映射到相应的编码。然而,在其他领域只有部分映射是可能的。遗传学是一个快速发展的领域,遗传条件的可用标签存在相当大的差距;该分类称为“其他”,编码系统将其标记为“继发性”糖尿病。最大的差距是缺乏糖尿病的编码,糖尿病的类型是不确定的。尽管有这些限制,我们还是制定了一份协商一致的清单。结论:开发易于映射到当代临床概念的代码是一个挑战。然而,临床医生应采用标准推荐代码;并审核他们现有记录的质量。
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