系统回顾 NoMAD 工具在评估实施成果方面的应用和特性:研究方案

Tracy L Finch, Leah Bührmann, Sebastian Potthoff, Carl R May, Beckie Gibson, Jiri Gumancik, Oliver Wilson-Dickson, M. Girling, Tim Rapley
{"title":"系统回顾 NoMAD 工具在评估实施成果方面的应用和特性:研究方案","authors":"Tracy L Finch, Leah Bührmann, Sebastian Potthoff, Carl R May, Beckie Gibson, Jiri Gumancik, Oliver Wilson-Dickson, M. Girling, Tim Rapley","doi":"10.3310/nihropenres.13559.1","DOIUrl":null,"url":null,"abstract":"Background Implementation outcomes measures can be used to assess the implementation of complex health and social care interventions, but evidence for the use of these measures, and their psychometric properties, remains limited. The NoMAD (Normalisation Measure Development) survey, based on Normalisation Process Theory, was developed to assess, monitor, or measure factors likely to affect normalisation of a new practice from the perspective of participants who are engaged in an implementation process. Since publication in 2015, NoMAD has been translated into several languages and is increasingly being used in health and care research. This systematic review will identify, appraise, and synthesise the existing literature on the use of NoMAD as an implementation outcome measure, focusing on use and application across different studies and settings, and on its properties as a measurement tool. Methods We will systematically search the bibliographic databases Web of Science, Scopus and PubMed for articles reporting empirical data in peer-reviewed journals. A citation search will also be undertaken in Google Scholar for primary NoMAD publications. Studies will be eligible for inclusion if they: (a) specify using NoMAD as a method and report results from using it, and/or (b) report a translation and/or validation study of NoMAD’s measurement properties. Screening of abstracts and full text articles will be done independently by two researchers. Data extraction will be structured to allow collection and descriptive synthesis of data on study characteristics, use of NoMAD, psychometric results, and authors’ reflections and recommendations. Conclusions This review will provide the first synthesis of how NoMAD has been applied in health and care research, and evidence on its properties as an outcome measure since its publication. This will be used to update existing freely accessible guidance for researchers and other users, and disseminated through peer-reviewed publications, and engagement activities with researchers and practitioners.","PeriodicalId":74312,"journal":{"name":"NIHR open research","volume":" 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Systematic review of applications and properties of the NoMAD instrument for assessing implementation outcomes: Study protocol\",\"authors\":\"Tracy L Finch, Leah Bührmann, Sebastian Potthoff, Carl R May, Beckie Gibson, Jiri Gumancik, Oliver Wilson-Dickson, M. Girling, Tim Rapley\",\"doi\":\"10.3310/nihropenres.13559.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background Implementation outcomes measures can be used to assess the implementation of complex health and social care interventions, but evidence for the use of these measures, and their psychometric properties, remains limited. The NoMAD (Normalisation Measure Development) survey, based on Normalisation Process Theory, was developed to assess, monitor, or measure factors likely to affect normalisation of a new practice from the perspective of participants who are engaged in an implementation process. Since publication in 2015, NoMAD has been translated into several languages and is increasingly being used in health and care research. This systematic review will identify, appraise, and synthesise the existing literature on the use of NoMAD as an implementation outcome measure, focusing on use and application across different studies and settings, and on its properties as a measurement tool. Methods We will systematically search the bibliographic databases Web of Science, Scopus and PubMed for articles reporting empirical data in peer-reviewed journals. A citation search will also be undertaken in Google Scholar for primary NoMAD publications. Studies will be eligible for inclusion if they: (a) specify using NoMAD as a method and report results from using it, and/or (b) report a translation and/or validation study of NoMAD’s measurement properties. Screening of abstracts and full text articles will be done independently by two researchers. Data extraction will be structured to allow collection and descriptive synthesis of data on study characteristics, use of NoMAD, psychometric results, and authors’ reflections and recommendations. Conclusions This review will provide the first synthesis of how NoMAD has been applied in health and care research, and evidence on its properties as an outcome measure since its publication. This will be used to update existing freely accessible guidance for researchers and other users, and disseminated through peer-reviewed publications, and engagement activities with researchers and practitioners.\",\"PeriodicalId\":74312,\"journal\":{\"name\":\"NIHR open research\",\"volume\":\" 10\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NIHR open research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3310/nihropenres.13559.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NIHR open research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3310/nihropenres.13559.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景 实施结果测量可用于评估复杂的医疗和社会护理干预措施的实施情况,但使用这些测量及其心理测量特性的证据仍然有限。NoMAD(正常化测量发展)调查基于正常化过程理论,旨在从参与实施过程的参与者的角度评估、监测或测量可能影响新实践正常化的因素。自 2015 年出版以来,NoMAD 已被翻译成多种语言,并越来越多地应用于健康和护理研究中。本系统性综述将识别、评估和综合有关使用 NoMAD 作为实施结果测量的现有文献,重点关注在不同研究和环境中的使用和应用,以及其作为测量工具的特性。方法 我们将系统地在文献数据库 Web of Science、Scopus 和 PubMed 中搜索同行评审期刊中报告经验数据的文章。此外,我们还将在 Google Scholar 中对 NoMAD 的主要出版物进行引文检索。符合以下条件的研究将被纳入(a) 指明使用 NoMAD 作为一种方法并报告使用结果,和/或 (b) 报告 NoMAD 测量特性的翻译和/或验证研究。摘要和全文的筛选将由两名研究人员独立完成。数据提取将采用结构化方式,以便收集和描述性综合有关研究特点、NoMAD 的使用、心理测量结果以及作者的反思和建议等方面的数据。结论 本综述将对 NoMAD 在健康和护理研究中的应用情况进行首次综合,并提供自 NoMAD 发布以来有关其作为结果测量指标的特性的证据。这将用于更新研究人员和其他用户可免费获取的现有指南,并通过同行评议出版物以及与研究人员和从业人员的互动活动进行传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic review of applications and properties of the NoMAD instrument for assessing implementation outcomes: Study protocol
Background Implementation outcomes measures can be used to assess the implementation of complex health and social care interventions, but evidence for the use of these measures, and their psychometric properties, remains limited. The NoMAD (Normalisation Measure Development) survey, based on Normalisation Process Theory, was developed to assess, monitor, or measure factors likely to affect normalisation of a new practice from the perspective of participants who are engaged in an implementation process. Since publication in 2015, NoMAD has been translated into several languages and is increasingly being used in health and care research. This systematic review will identify, appraise, and synthesise the existing literature on the use of NoMAD as an implementation outcome measure, focusing on use and application across different studies and settings, and on its properties as a measurement tool. Methods We will systematically search the bibliographic databases Web of Science, Scopus and PubMed for articles reporting empirical data in peer-reviewed journals. A citation search will also be undertaken in Google Scholar for primary NoMAD publications. Studies will be eligible for inclusion if they: (a) specify using NoMAD as a method and report results from using it, and/or (b) report a translation and/or validation study of NoMAD’s measurement properties. Screening of abstracts and full text articles will be done independently by two researchers. Data extraction will be structured to allow collection and descriptive synthesis of data on study characteristics, use of NoMAD, psychometric results, and authors’ reflections and recommendations. Conclusions This review will provide the first synthesis of how NoMAD has been applied in health and care research, and evidence on its properties as an outcome measure since its publication. This will be used to update existing freely accessible guidance for researchers and other users, and disseminated through peer-reviewed publications, and engagement activities with researchers and practitioners.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信