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一份结构化问卷,用于评估患者对服药的依从性和信念,同时考虑到数据的有序分类结构。

A structured questionnaire to assess patient compliance and beliefs about medicines taking into account the ordered categorical structure of data.

作者信息

Bondesson Asa, Hellström Lina, Eriksson Tommy, Höglund Peter

机构信息

Department of Clinical Pharmacology, Lund University, Lund, Sweden.

出版信息

J Eval Clin Pract. 2009 Aug;15(4):713-23. doi: 10.1111/j.1365-2753.2008.01088.x.

Abstract

RATIONALE, AIMS AND OBJECTIVE: The objectives were to describe and evaluate the structured medication questionnaire and to improve data handling of results from the Morisky four-item scale for patient compliance and Beliefs about Medicines Questionnaire-specific (BMQ-specific).

METHODS

A questionnaire was developed with the purpose of being used when identifying medication errors and assessing patient compliance to and beliefs about medicines.

RESULTS

A majority of the respondents (62%; CI 45-77%) had at least one medication error. Assuming that all items are equally important in the Morisky four-item scale we presented four alternative ways to create a unidimensional global scale. A two-dimensional global scale was also constructed. The results from the BMQ-specific were presented in different ways, all taking into account that the scale has ordered verbal categories: at the level addressing each specific question, at the sub-scales 'concern' and 'necessity' level and at the global level.

CONCLUSIONS

The structured medication questionnaire can be used in daily practice as a tool to identify drug-related problems. The choice of how to use and present data from those scales in research depends on patient characteristics and how discriminating one would like the scales to be.

摘要

原理、目的和目标:目的是描述和评估结构化药物问卷,并改善用于患者依从性的Morisky四项量表以及特定药物信念问卷(BMQ特定)结果的数据处理。

方法

开发了一份问卷,用于识别用药错误以及评估患者对药物的依从性和信念。

结果

大多数受访者(62%;置信区间45 - 77%)至少有一处用药错误。假设在Morisky四项量表中所有项目同等重要,我们提出了四种创建单维总体量表的替代方法。还构建了一个二维总体量表。BMQ特定的结果以不同方式呈现,所有方式都考虑到该量表具有有序的语言类别:在针对每个具体问题的层面、在子量表“关注”和“必要性”层面以及在总体层面。

结论

结构化药物问卷可在日常实践中用作识别药物相关问题的工具。在研究中如何使用和呈现这些量表的数据,取决于患者特征以及希望量表具有多大的区分度。

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