利益相关者对跨学科术语的共识,使整个卫生系统的药物依从性技术的发展和吸收:基于网络的实时德尔菲研究。

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Alexandra Lelia Dima, Urska Nabergoj Makovec, Janette Ribaut, Frederik Haupenthal, Pilar Barnestein-Fonseca, Catherine Goetzinger, Sean Grant, Cristina Jácome, Dins Smits, Ivana Tadic, Job van Boven, Ioanna Tsiligianni, Maria Teresa Herdeiro, Fátima Roque
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引用次数: 0

摘要

背景:技术介导的药物依从性干预已被证明是有用的,但在临床实践中的实施率很低。欧洲科学和技术行动合作(CA19132)药物依从性技术在线存储库(MATechs)旨在提供一个开放获取、可搜索的知识管理平台,以促进创新并支持跨卫生系统的药物依从性管理。为了为最佳使用和协作提供坚实的基础,存储库需要共享跨学科术语。目标:我们咨询了涉众,了解他们的观点和对建议的术语的同意程度,以告知ENABLE存储库结构。方法:对来自39个国家活跃在研究、临床实践、患者代表、政策制定和技术开发领域的利益相关者进行了基于网络的实时德尔菲研究。参与者对MATech的术语和定义以及产品和供应商信息、药物依从描述符以及评估和实施的21个属性集群进行了评级。相关性、清晰度和完整性标准以9分制进行评分,并且交互式地提供了自由文本评论。参与者可以根据实时汇总的反馈重新考虑他们的评分,并在整个研究期间重新审视调查。我们量化了完整样本和每个涉众组的协议和过程指标,并对评论进行了内容分析。结果不一致指数的评级被认为达成了共识:在邀请的250个利益相关者中,117个(46.8%)对MATech定义进行了评级,其中83个(70.9%)对所有属性进行了评级。就所有项目达成协商一致意见。该定义被认为是恰当和清晰的(评分中位数分别为7.02,IPR 6.10-7.69和7.26,IPR 6.73-7.90)。大多数属性被认为是相关的、强制性的,并且足够清晰,可以保持不变,除了ISO认证(被认为是可选的;中位相关性评分6.34,IPR 5.50-7.24)和药物依从性阶段、药物依从性测量和药物依从性干预(可选改变的候选人;清晰度评级中位数为6.07,IPR为4.86-7.17;6.37, ipr 4.80-6.67;5.67, IPR分别为4.66-6.61)。子组分析发现,一些利益相关者组认为有几个属性簇是适度清晰的。结果在不同的利益相关者群体和时间是一致的,但在一些利益相关者群体中发现了对选定集群的反应差异,这表明了进一步讨论的目标。评论强调了需要进一步讨论的问题,并提供了修改建议,以提高全面性、相关性和清晰度。结论:通过对一个全面的MATech术语达成一致,该术语是根据最先进的方法开发的,该研究代表了ENABLE倡议的关键一步,该倡议旨在开发一个能够在欧洲构建和促进MATech开发和实施的信息架构。涉众评论中强调的争论和挑战概述了进一步开发术语和ENABLE存储库的潜在路线图。国际注册报告标识符(irrid): RR2-10.1136/bmjopen-2021-059674。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stakeholder Consensus on an Interdisciplinary Terminology to Enable the Development and Uptake of Medication Adherence Technologies Across Health Systems: Web-Based Real-Time Delphi Study.

Background: Technology-mediated medication adherence interventions have proven useful, yet implementation in clinical practice is low. The European Network to Advance Best Practices and Technology on Medication Adherence (ENABLE) European Cooperation in Science and Technology Action (CA19132) online repository of medication adherence technologies (MATechs) aims to provide an open access, searchable knowledge management platform to facilitate innovation and support medication adherence management across health systems. To provide a solid foundation for optimal use and collaboration, the repository requires a shared interdisciplinary terminology.

Objective: We consulted stakeholders on their views and level of agreement with the terminology proposed to inform the ENABLE repository structure.

Methods: A real-time web-based Delphi study was conducted with stakeholders from 39 countries active in research, clinical practice, patient representation, policy making, and technology development. Participants rated terms and definitions of MATech and of 21 attribute clusters on product and provider information, medication adherence descriptors, and evaluation and implementation. Relevance, clarity, and completeness criteria were rated on 9-point scales, and free-text comments were provided interactively. Participants could reconsider their ratings based on real-time aggregated feedback and revisit the survey throughout the study period. We quantified agreement and process indicators for the complete sample and per stakeholder group and performed content analysis on comments. Consensus was considered reached for ratings with a disagreement index of <1. Median ratings guided decisions on whether attributes were considered mandatory, optional, or not relevant. We used the results to improve the terminology and repository structure.

Results: Of 250 stakeholders invited, 117 (46.8%) rated the MATech definition, of whom 83 (70.9%) rated all attributes. Consensus was reached for all items. The definition was considered appropriate and clear (median ratings 7.02, IPR 6.10-7.69, and 7.26, IPR 6.73-7.90, respectively). Most attributes were considered relevant, mandatory, and sufficiently clear to remain unchanged except for ISO certification (considered optional; median relevance rating 6.34, IPR 5.50-7.24) and medication adherence phase, medication adherence measurement, and medication adherence intervention (candidates for optional changes; median clarity ratings 6.07, IPR 4.86-7.17; 6.37, IPR 4.80-6.67; and 5.67, IPR 4.66-6.61, respectively). Subgroup analyses found several attribute clusters considered moderately clear by some stakeholder groups. Results were consistent across stakeholder groups and time, yet response variation was found within some stakeholder groups for selected clusters, suggesting targets for further discussion. Comments highlighted issues for further debate and provided suggestions informing modifications to improve comprehensiveness, relevance, and clarity.

Conclusions: By reaching agreement on a comprehensive MATech terminology developed following state-of-the-art methodology, this study represents a key step in the ENABLE initiative to develop an information architecture capable of structuring and facilitating the development and implementation of MATech across Europe. The debates and challenges highlighted in stakeholders' comments outline a potential road map for further development of the terminology and the ENABLE repository.

International registered report identifier (irrid): RR2-10.1136/bmjopen-2021-059674.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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