Letter to the editor concerning the article: ‘The impacts of undetected nonadherence in phase II, III and post-marketing clinical trials: An overview’

IF 3 3区 医学 Q2 PHARMACOLOGY & PHARMACY British journal of clinical pharmacology Pub Date : 2025-02-23 DOI:10.1002/bcp.70030
Tamás Ágh, Lina Eliasson, Bijan Borah
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In this context, we aim to contribute to this important discussion by providing additional insights into current regulatory and consensus-based research guidelines for defining, measuring and reporting medication adherence in RCTs.</p><p>Current regulatory guidelines emphasize the importance of addressing medication adherence in RCTs to ensure accurate and reliable results.<span><sup>2, 3</sup></span> In its guideline on the clinical investigation of medicines for chronic heart failure, the European Medicines Agency (EMA) emphasizes maintaining stable background therapy throughout the study and continuing outcome assessments in all participants, regardless of adherence status.<span><sup>2</sup></span> Meanwhile, to mitigate the risks associated with medication nonadherence, the US Food and Drug Administration (FDA) recommends implementing strategies such as adherence monitoring and alert systems, educating patients on the conditions and demands of the trial and avoiding overly rapid titration of drugs to minimize early adverse reactions.<span><sup>3</sup></span> Advances in digital health technologies can potentially enhance these efforts by enabling the remote collection of adherence-related data.<span><sup>4, 5</sup></span> Furthermore, patient-reported outcome measures (PROMs) can provide valuable insights on medication adherence from the patient's perspective.<span><sup>6, 7</sup></span> While digital health technologies often provide more accurate and reliable data on adherence compared to PROMs, self-reported adherence questionnaires remain essential for understanding the underlying determinants and reasons for medication nonadherence. 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The ABC Taxonomy for Medication Adherence provides a structured framework by categorizing adherence into three phases: initiation (‘occurs when the patient takes the first dose of a prescribed medication’), implementation (‘is the extent to which a patient's actual dosing corresponds to the prescribed dosing regimen, from initiation until the last dose’) and discontinuation (‘occurs when the patient stops taking the prescribed medication, for whatever reason(s)’), ensuring consistent definitions and interpretations in clinical trials.<span><sup>8</sup></span> Building on this, the Timelines-Events-Objectives-Sources (TEOS) framework offers a practical tool for operationalizing adherence measurement by integrating four pillars: mapping treatment timelines, identifying key events, aligning study objectives with measurement needs and selecting appropriate data sources (e.g., electronic monitoring, self-report).<span><sup>9</sup></span> Additionally, transparent and accurate reporting of adherence data can be facilitated by the Medication Adherence Reporting Guideline (EMERGE), which offers comprehensive recommendations for adherence reporting.<span><sup>10</sup></span></p><p>Adopting these consensus-based research guidelines (i.e., ABC Taxonomy, TEOS and EMERGE) can effectively address methodological challenges in adherence measurement and reporting in RCTs, enabling the generation of more robust insights for regulatory and reimbursement decisions for novel medications. 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引用次数: 0

Abstract

We read with great interest the article by Le Flohic et al., ‘The impacts of undetected nonadherence in phase II, III and post-marketing clinical trials: An overview’,1 which highlights the critical challenges posed by undiagnosed medication nonadherence in randomized controlled trials (RCTs). The authors present a valuable synthesis of the potential consequences of suboptimal adherence in RCTs, emphasizing how undetected medication nonadherence can lead to biased results, compromised trial outcomes and increased costs. In this context, we aim to contribute to this important discussion by providing additional insights into current regulatory and consensus-based research guidelines for defining, measuring and reporting medication adherence in RCTs.

Current regulatory guidelines emphasize the importance of addressing medication adherence in RCTs to ensure accurate and reliable results.2, 3 In its guideline on the clinical investigation of medicines for chronic heart failure, the European Medicines Agency (EMA) emphasizes maintaining stable background therapy throughout the study and continuing outcome assessments in all participants, regardless of adherence status.2 Meanwhile, to mitigate the risks associated with medication nonadherence, the US Food and Drug Administration (FDA) recommends implementing strategies such as adherence monitoring and alert systems, educating patients on the conditions and demands of the trial and avoiding overly rapid titration of drugs to minimize early adverse reactions.3 Advances in digital health technologies can potentially enhance these efforts by enabling the remote collection of adherence-related data.4, 5 Furthermore, patient-reported outcome measures (PROMs) can provide valuable insights on medication adherence from the patient's perspective.6, 7 While digital health technologies often provide more accurate and reliable data on adherence compared to PROMs, self-reported adherence questionnaires remain essential for understanding the underlying determinants and reasons for medication nonadherence. Nevertheless, despite the critical importance of adherence in RCTs, no regulatory body currently provides dedicated, specific guidelines for defining, measuring or reporting medication adherence in clinical research, resulting in inconsistent methodologies, limited data availability and suboptimal adherence reporting in RCTs.

Recent consensus-based research guidelines for defining, measuring and reporting medication adherence can help address the lack of regulatory guidance in this area. The ABC Taxonomy for Medication Adherence provides a structured framework by categorizing adherence into three phases: initiation (‘occurs when the patient takes the first dose of a prescribed medication’), implementation (‘is the extent to which a patient's actual dosing corresponds to the prescribed dosing regimen, from initiation until the last dose’) and discontinuation (‘occurs when the patient stops taking the prescribed medication, for whatever reason(s)’), ensuring consistent definitions and interpretations in clinical trials.8 Building on this, the Timelines-Events-Objectives-Sources (TEOS) framework offers a practical tool for operationalizing adherence measurement by integrating four pillars: mapping treatment timelines, identifying key events, aligning study objectives with measurement needs and selecting appropriate data sources (e.g., electronic monitoring, self-report).9 Additionally, transparent and accurate reporting of adherence data can be facilitated by the Medication Adherence Reporting Guideline (EMERGE), which offers comprehensive recommendations for adherence reporting.10

Adopting these consensus-based research guidelines (i.e., ABC Taxonomy, TEOS and EMERGE) can effectively address methodological challenges in adherence measurement and reporting in RCTs, enabling the generation of more robust insights for regulatory and reimbursement decisions for novel medications. In parallel, dynamically monitoring medication adherence as the trial progresses can play a crucial role in uncovering barriers to adherence. By identifying early patterns of medication nonadherence, timely interventions—such as exploring potential safety issues, patient education or reminders—can be implemented to support appropriate treatment management within the trial. Integrating these adherence-focused approaches across all phases of clinical research will not only enhance trial validity but also optimize resource utilization and improve patient outcomes.

T.A., L.E. and B.B, contributed to the conception and design, revisions of critically important intellectual content and the final review and approval of the letter.

T.A. is the Chair of ESPACOMP (the International Society for Medication Adherence). B.B. is the Chair, T.A. is the Past Chair, and L.E. is the Member Engagement Co-Chair of the ISPOR (International Society for Pharmacoeconomics and Outcomes Research) Medication Adherence and Persistence Special Interest Group.

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致编辑关于文章《未被发现的不依从在II期、III期和上市后临床试验中的影响:概述》的信。
我们非常感兴趣地阅读了Le Flohic等人的文章,“在II期、III期和上市后临床试验中未被发现的不依从的影响:概述”,其中强调了随机对照试验(rct)中未被诊断的药物不依从所带来的关键挑战。作者对随机对照试验中依从性不佳的潜在后果进行了有价值的综合,强调未被发现的药物依从性如何导致结果偏倚、试验结果受损和成本增加。在这种背景下,我们的目标是通过提供对当前监管和基于共识的研究指南的额外见解来促进这一重要的讨论,以定义、测量和报告随机对照试验中的药物依从性。目前的监管指南强调在随机对照试验中解决药物依从性的重要性,以确保准确和可靠的结果。在其关于慢性心力衰竭药物临床研究的指南中,欧洲药品管理局(EMA)强调在整个研究过程中保持稳定的背景治疗,并对所有参与者进行持续的结果评估,无论其依从性如何同时,为了减轻与药物不依从性相关的风险,美国食品和药物管理局(FDA)建议实施诸如依从性监测和警报系统等策略,教育患者试验的条件和要求,避免过度快速滴定药物以尽量减少早期不良反应数字卫生技术的进步有可能通过远程收集与依从性有关的数据来加强这些努力。此外,患者报告的结果测量(PROMs)可以从患者的角度对药物依从性提供有价值的见解。6,7与PROMs相比,数字健康技术通常提供更准确和可靠的依从性数据,但自我报告的依从性问卷对于了解药物不依从性的潜在决定因素和原因仍然至关重要。然而,尽管依从性在随机对照试验中至关重要,但目前没有监管机构提供专门的、具体的指南来定义、测量或报告临床研究中的药物依从性,导致方法不一致、数据可用性有限以及随机对照试验中依从性报告不理想。最近关于定义、测量和报告药物依从性的基于共识的研究指南可以帮助解决这一领域缺乏监管指导的问题。ABC药物依从性分类法通过将依从性分为三个阶段提供了一个结构化框架:起始(“当患者服用处方药物的第一剂时发生”),实施(“从起始到最后一剂,患者的实际剂量与处方给药方案相对应的程度”)和停药(“当患者出于任何原因停止服用处方药物时发生”),确保临床试验中定义和解释的一致性在此基础上,时间表-事件-目标-来源(TEOS)框架提供了一个实用的工具,通过整合四个支柱来实施依从性测量:绘制治疗时间表,识别关键事件,将研究目标与测量需求相结合,选择适当的数据源(例如,电子监测,自我报告)此外,药物依从性报告指南(EMERGE)可以促进依从性数据的透明和准确报告,该指南为依从性报告提供了全面的建议。采用这些基于共识的研究指南(即ABC分类法、TEOS和EMERGE)可以有效地解决随机对照试验中依从性测量和报告的方法学挑战,从而为新药的监管和报销决策提供更有力的见解。与此同时,随着试验的进展,动态监测药物依从性可以在发现依从性障碍方面发挥关键作用。通过识别药物不依从的早期模式,及时的干预——如探索潜在的安全问题、患者教育或提醒——可以在试验中实施,以支持适当的治疗管理。在临床研究的所有阶段整合这些以依从性为重点的方法不仅可以提高试验的有效性,还可以优化资源利用并改善患者的预后。t.a对这封信的构思和设计、对至关重要的知识内容的修订以及最后的审查和批准都做出了贡献。是ESPACOMP(国际药物依从性协会)主席。B.B.是主席,T.A.是前任主席,L.E. 是ISPOR(国际药物经济学和结果研究学会)药物依从性和持久性特别兴趣小组的成员参与联合主席。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.30
自引率
8.80%
发文量
419
审稿时长
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期刊介绍: Published on behalf of the British Pharmacological Society, the British Journal of Clinical Pharmacology features papers and reports on all aspects of drug action in humans: review articles, mini review articles, original papers, commentaries, editorials and letters. The Journal enjoys a wide readership, bridging the gap between the medical profession, clinical research and the pharmaceutical industry. It also publishes research on new methods, new drugs and new approaches to treatment. The Journal is recognised as one of the leading publications in its field. It is online only, publishes open access research through its OnlineOpen programme and is published monthly.
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