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将 STOPP/START 版本 2 转换为用于软件实现的编码算法:多学科共识程序。

Conversion of STOPP/START version 2 into coded algorithms for software implementation: A multidisciplinary consensus procedure.

机构信息

Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht, the Netherlands.

Department of Clinical Pharmacy, University Medical Center Utrecht, Utrecht, the Netherlands.

出版信息

Int J Med Inform. 2019 May;125:110-117. doi: 10.1016/j.ijmedinf.2018.12.010. Epub 2018 Dec 31.

Abstract

BACKGROUND

The rapid digitalization of medical practice has attracted growing interest in developing software applications for clinical guidelines and explicit screening tools to detect potentially inappropriate prescribing, such as STOPP/START criteria. The aim of the current study was to develop and provide logically unambiguous algorithms of STOPP/START criteria version 2, encoded with international disease and medication classification codes, to facilitate the development of software applications for multiple purposes.

METHODS

A four round multidisciplinary consensus and validation procedure was conducted to develop implementable coded algorithms for software applications of STOPP/START criteria version 2, based on ICD, ICPC, LOINC and ATC classification databases.

RESULTS

Consensus was reached for all 34 START criteria and 76 out of 80 STOPP criteria. The resulting 110 algorithms, modeled as inference rules in decision tables, are provided as supplementary data.

CONCLUSION

This is the first study providing implementable algorithms for software applications based on STOPP/START version 2, validated in a computer decision support system. These algorithms could serve as a template for applying STOPP/START criteria version 2 to any software application, allowing for adaptations of the included ICD, ICPC and ATC codes and changing the cut-off levels for laboratory measurements to match local guidelines or clinical expertise.

摘要

背景

医学实践的快速数字化引起了人们越来越多的兴趣,希望开发用于临床指南和明确筛选工具的软件应用程序,以检测潜在的不适当处方,例如 STOPP/START 标准。本研究的目的是开发并提供 STOPP/START 标准版本 2 的逻辑明确的算法,这些算法使用国际疾病和药物分类代码进行编码,以促进多种目的的软件应用程序的开发。

方法

采用四轮多学科共识和验证程序,基于 ICD、ICPC、LOINC 和 ATC 分类数据库,为 STOPP/START 标准版本 2 的软件应用程序开发可实现的编码算法。

结果

所有 34 项 START 标准和 80 项 STOPP 标准中的 76 项都达成了共识。由此产生的 110 个算法,以决策表中的推理规则形式呈现,作为补充数据提供。

结论

这是第一项基于 STOPP/START 版本 2 为软件应用程序提供可实现算法的研究,在计算机决策支持系统中进行了验证。这些算法可以作为将 STOPP/START 标准版本 2 应用于任何软件应用程序的模板,允许对包含的 ICD、ICPC 和 ATC 代码进行修改,并更改实验室测量的截止水平以匹配当地指南或临床专业知识。

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