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研究方法:对全科医疗中感知到的发病率进行编码——对瑞德分类法和国际初级保健分类法(ICPC)的评估。

Research methodology: Coding perceived morbidity in general practice--an evaluation of the Read Classification and the International Classification of Primary Care (ICPC).

作者信息

Connolly J P, McGavock H, Wilson-Davis K

机构信息

Drug Utilization Research Unit, Queen's University, Belfast, 97 Lisburn Road, Belfast, BT9 7BL, Northern Ireland.

出版信息

Pharmacoepidemiol Drug Saf. 1997 Sep;6(5):325-30. doi: 10.1002/(SICI)1099-1557(199709/10)6:5<325::AID-PDS283>3.0.CO;2-B.

Abstract

OBJECTIVES

To evaluate the Read Classification and the International Classification of Primary Care (ICPC).

METHODS

The Read Classification was used to code the diagnoses for 3474 patient encounters, in a pilot sample of three volunteer practices (11 general practitioners), and the ICPC was used to code 21,416 patient encounters in a stratified quota sample of 22 practices (59 general practitioners), in a survey aiming to relate prescribing to perceived diagnosis. RESULTS/EXPERIENCE: The Read Classification was found to be a detailed and exhaustive classification of medical diagnoses, but it was more time consuming to use than the ICPC, due to the complexity of the classification, the over-use of alpha characters compared to the ICPC, and the mixing of alpha characters with numeric digits within the codes. Encoding, decoding and statistical analysis were found to be more straightforward using the ICPC compared with the Read Classification. The ICPC was found to be deficient in 40 important diagnoses, and these are listed.

CONCLUSION

The Read Classification was of limited value in this drug utilization survey, in that the design of the code reduced its utility in statistical analyses. The ICPC was an efficient code, which met the criteria of exclusiveness, usefulness and hierarchy. The classification is not exhaustive enough to prevent loss of information as a result of coding, but the authors' amendments virtually eliminated this problem.

摘要

目的

评估Read分类法和国际初级保健分类法(ICPC)。

方法

在一项旨在将处方与感知诊断相关联的调查中,使用Read分类法对来自三个志愿医疗机构(11名全科医生)的试点样本中的3474例患者就诊诊断进行编码,使用ICPC对来自22个医疗机构(59名全科医生)的分层配额样本中的21416例患者就诊进行编码。结果/经验:发现Read分类法是一种详细且详尽的医学诊断分类法,但由于分类的复杂性、与ICPC相比过度使用字母字符以及代码中字母字符与数字的混合使用,使用起来比ICPC更耗时。与Read分类法相比,使用ICPC进行编码、解码和统计分析更为直接。发现ICPC在40种重要诊断方面存在不足,并列出了这些诊断。

结论

在本次药物利用调查中,Read分类法的价值有限,因为代码设计降低了其在统计分析中的效用。ICPC是一种高效的代码,符合排他性、实用性和层次性标准。该分类法不够详尽,无法防止编码导致的信息丢失,但作者的修正几乎消除了这个问题。

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