开发与药物相关跌倒筛查和评分工具,并对其进行德尔菲共识验证。

IF 2.6 4区 医学 Q2 PHARMACOLOGY & PHARMACY
Dima Saeed, Gillian Carter, Ruth Miller, Carmel Darcy, Karen Miller, Kevin Madden, Hilary McKee, Jayne Agnew, Paula Crawford, Carole Parsons
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引用次数: 0

摘要

背景:跌倒是一个重大的公共卫生问题,也是造成伤害和死亡的主要原因。跌倒的风险因素是多方面的,其中包括用药。目的:开发与用药相关的跌倒(MRF)筛查和评分工具,并研究其内容的有效性:方法:MRF 工具是根据解决用药相关问题的临床实践指南以及英国一个地区(北爱尔兰)的专科药剂师确定的其他药物开发的。药物类别根据其 "导致跌倒的可能性 "分为:高风险(3 分)、中度风险(2 分)或低风险(1 分)。患者与药物相关的总体跌倒风险由所有药物的得分总和决定。MRF 采用德尔菲共识法进行验证,即使用 SurveyMonkey® 进行三轮反复调查。来自 10 个国家的 22 位专家通过 5 点李克特量表确定了他们对每种药物相关跌倒风险的认同度。只有至少 75% 的受访者表示同意或非常同意的药物才会被纳入下一轮调查:结果:19 种药物/药物类别被纳入 MRF 工具的最终版本;其中 10 种被归类为高风险,8 种被归类为中度风险,1 种被归类为低风险:MRF工具操作简单,有可能被整合到药物优化中,以降低跌倒风险和与跌倒相关的不良后果。MRF工具的评分可作为临床参数,用于评估药物审查和临床干预的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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.

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来源期刊
CiteScore
4.10
自引率
8.30%
发文量
131
审稿时长
4-8 weeks
期刊介绍: The International Journal of Clinical Pharmacy (IJCP) offers a platform for articles on research in Clinical Pharmacy, Pharmaceutical Care and related practice-oriented subjects in the pharmaceutical sciences. IJCP is a bi-monthly, international, peer-reviewed journal that publishes original research data, new ideas and discussions on pharmacotherapy and outcome research, clinical pharmacy, pharmacoepidemiology, pharmacoeconomics, the clinical use of medicines, medical devices and laboratory tests, information on medicines and medical devices information, pharmacy services research, medication management, other clinical aspects of pharmacy. IJCP publishes original Research articles, Review articles , Short research reports, Commentaries, book reviews, and Letters to the Editor. International Journal of Clinical Pharmacy is affiliated with the European Society of Clinical Pharmacy (ESCP). ESCP promotes practice and research in Clinical Pharmacy, especially in Europe. The general aim of the society is to advance education, practice and research in Clinical Pharmacy . Until 2010 the journal was called Pharmacy World & Science.
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