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药物治疗方案复杂性指数的开发与验证。

Development and validation of the medication regimen complexity index.

作者信息

George Johnson, Phun Yee-Teng, Bailey Michael J, Kong David C M, Stewart Kay

机构信息

Department of Pharmacy Practice, Victorian College of Pharmacy, Monash University, Parkville, Australia.

出版信息

Ann Pharmacother. 2004 Sep;38(9):1369-76. doi: 10.1345/aph.1D479. Epub 2004 Jul 20.

Abstract

BACKGROUND

Medication regimen attributes, such as the number of drugs, dosage frequency, administration instructions, and the prescribed dosage forms, have been shown to influence patient outcomes. No single tool for quantifying the complexity of general medication regimens has been published in the medical literature.

OBJECTIVE

To develop and validate a tool to quantify the complexity of prescribed medication regimens.

METHODS

Literature findings and the expertise of the authors were used for developing the tool. Eight pharmacy researchers helped in establishing the tool's face and content validity. The new tool was tested on 134 medication regimens from patients with moderate to severe chronic obstructive pulmonary disease. Six regimens with a spread of scores on the tool were presented to a 5-member expert panel that subjectively ranked these regimens to confirm the tool's criterion-related validity. The relationships between scores on the tool and various independent variables were tested to judge the tool's construct validity. Two raters scored 25 regimens using the tool to test its inter-rater and test-retest reliabilities.

RESULTS

A 65-item Medication Regimen Complexity Index (MRCI) was developed. The expert panel had strong agreement (Kendall's W = 0.8; p = 0.001) on their individual rankings of the 6 regimens. The panel's consensus ranking had perfect correlation with the MRCI ranking. The total MRCI score had significant correlation with the number of drugs in the regimen (Spearman's Rho = 0.9; p < 0.0001), but not with the age and gender of the patients. Inter-rater and test-retest reliabilities for the total score and scores for individual sections on the MRCI were > or = 0.9.

CONCLUSIONS

The MRCI is a reliable and valid tool for quantifying drug regimen complexity with potential applications in both practice and research.

摘要

背景

药物治疗方案的属性,如药物数量、给药频率、给药说明和规定剂型,已被证明会影响患者的治疗效果。医学文献中尚未发表用于量化一般药物治疗方案复杂性的单一工具。

目的

开发并验证一种用于量化规定药物治疗方案复杂性的工具。

方法

利用文献研究结果和作者的专业知识来开发该工具。八位药学研究人员协助建立该工具的表面效度和内容效度。该新工具在134例中重度慢性阻塞性肺疾病患者的药物治疗方案上进行了测试。将该工具上得分范围较广的六个治疗方案提交给一个由五名成员组成的专家小组,该小组对这些治疗方案进行主观排序,以确认该工具的效标关联效度。测试该工具得分与各种自变量之间的关系,以判断该工具的结构效度。两名评分者使用该工具对25个治疗方案进行评分,以测试其评分者间信度和重测信度。

结果

开发了一个包含65个条目的药物治疗方案复杂性指数(MRCI)。专家小组对六个治疗方案的个人排序具有高度一致性(肯德尔和谐系数W = 0.8;p = 0.001)。专家小组的共识排序与MRCI排序具有完全相关性。MRCI总分与治疗方案中的药物数量显著相关(斯皮尔曼等级相关系数Rho = 0.9;p < 0.0001),但与患者的年龄和性别无关。MRCI总分及各部分得分的评分者间信度和重测信度均≥0.9。

结论

MRCI是一种可靠且有效的工具,可用于量化药物治疗方案的复杂性,在实践和研究中均有潜在应用价值。

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