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《用药相关跌倒筛查和评分工具的开发与 Delphi 共识验证》。

Development and Delphi consensus validation of the Medication-Related Fall screening and scoring tool.

机构信息

School of Pharmacy, Queen's University Belfast, Belfast, UK.

School of Pharmacy, Middle East University, Amman, Jordan.

出版信息

Int J Clin Pharm. 2024 Aug;46(4):977-986. doi: 10.1007/s11096-024-01734-w. Epub 2024 May 16.

Abstract

BACKGROUND

Falls are a significant public health problem and constitute a major cause of injuries and mortality. Risk factors for falls are multifactorial and include medication use.

AIM

To develop and investigate the content validity of the Medication-Related fall (MRF) screening and scoring tool.

METHOD

The MRF tool was developed from clinical practice guidelines addressing medication-related problems, and additional medications identified by specialist pharmacists across a region of the United Kingdom (Northern Ireland). Medication classes were categorised according to their 'potential to cause falls' as: high-risk (three points), moderate-risk (two points) or low-risk (one point). The overall medication-related falls risk for the patient was determined by summing the scores for all medications. The MRF was validated using Delphi consensus methodology, whereby three iterative rounds of surveys were conducted using SurveyMonkey. Twenty-two experts from 10 countries determined their agreement with the falls risk associated with each medication on a 5-point Likert scale. Only medications with at least 75% of respondents agreeing or strongly agreeing were retained in the next round.

RESULTS

Consensus was reached for 19 medications/medication classes to be included in the final version of the MRF tool; ten were classified as high-risk, eight as moderate-risk and one as low-risk.

CONCLUSION

The MRF tool is simple and has the potential to be integrated into medicines optimisation to reduce falls risk and negative fall-related outcomes. The score from the MRF tool can be used as a clinical parameter to assess the need for medication review and clinical interventions.

摘要

背景

跌倒对公众健康构成了严重威胁,也是导致伤害和死亡的主要原因之一。跌倒的风险因素多种多样,包括药物使用。

目的

开发和研究药物相关性跌倒(MRF)筛查和评分工具的内容效度。

方法

MRF 工具是从针对药物相关问题的临床实践指南和英国(北爱尔兰)某一地区的专科药剂师发现的其他药物中发展而来的。药物类别根据其“导致跌倒的可能性”分为:高风险(3 分)、中风险(2 分)或低风险(1 分)。患者的整体药物相关性跌倒风险通过对所有药物的得分进行求和来确定。MRF 通过德尔菲共识方法进行验证,使用 SurveyMonkey 进行三轮迭代调查。来自 10 个国家的 22 名专家对每个药物相关的跌倒风险的同意程度进行了 5 点李克特量表评估。只有至少有 75%的受访者同意或强烈同意的药物才能保留在下一轮。

结果

达成共识,将 19 种药物/药物类别纳入 MRF 工具的最终版本;其中 10 种被归类为高风险,8 种为中风险,1 种为低风险。

结论

MRF 工具简单易用,有可能整合到药物优化中,以降低跌倒风险和与跌倒相关的负面后果。MRF 工具的评分可作为评估药物审查和临床干预必要性的临床参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ebd/11286707/c3712730f47c/11096_2024_1734_Fig1_HTML.jpg

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