Dima Saeed, Gillian Carter, Ruth Miller, Carmel Darcy, Karen Miller, Kevin Madden, Hilary McKee, Jayne Agnew, Paula Crawford, Carole Parsons
{"title":"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。","authors":"Dima Saeed, Gillian Carter, Ruth Miller, Carmel Darcy, Karen Miller, Kevin Madden, Hilary McKee, Jayne Agnew, Paula Crawford, Carole Parsons","doi":"10.1007/s11096-024-01734-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Aim: </strong>To develop and investigate the content validity of the Medication-Related fall (MRF) screening and scoring tool.</p><p><strong>Method: </strong>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<sup>®</sup>. 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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":13828,"journal":{"name":"International Journal of Clinical Pharmacy","volume":" ","pages":"977-986"},"PeriodicalIF":2.6000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11286707/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development and Delphi consensus validation of the Medication-Related Fall screening and scoring tool.\",\"authors\":\"Dima Saeed, Gillian Carter, Ruth Miller, Carmel Darcy, Karen Miller, Kevin Madden, Hilary McKee, Jayne Agnew, Paula Crawford, Carole Parsons\",\"doi\":\"10.1007/s11096-024-01734-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Aim: </strong>To develop and investigate the content validity of the Medication-Related fall (MRF) screening and scoring tool.</p><p><strong>Method: </strong>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<sup>®</sup>. 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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>The MRF tool is simple and has the potential to be integrated into medicines optimisation to reduce falls risk and negative fall-related outcomes. 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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.
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.