Ottawa Hospital Research Institute, Clinical Epidemiology Program, Centre for Practice-Changing Research, The Ottawa Hospital, Ottawa, Ontario K1H 8L6, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Ottawa Hospital Research Institute, Clinical Epidemiology Program, Centre for Practice-Changing Research, The Ottawa Hospital, Ottawa, Ontario K1H 8L6, Canada.
J Clin Epidemiol. 2022 Nov;151:113-121. doi: 10.1016/j.jclinepi.2022.08.007. Epub 2022 Aug 18.
Randomized trials labelled as "pragmatic" are attractive to funders, patients, and clinicians as the label implies that the results are directly applicable to clinical care. We examined how authors justify use of the label (e.g., by referring to one or more PRECIS [PRagmatic Explanatory Continuum Indicator Summary]-2 domains).
We reviewed primary trial reports published 2014-2019, registered in ClinicalTrials.gov and using the pragmatic label anywhere in the report.
Among 415 trials, the label was justified by reference to at least one design element in 282 (68.0%); of these, 240 (85.1%) referenced trial characteristics that can be mapped to one or more of the PRECIS-2 domains, most commonly eligibility (91, 32.3%), setting (90, 31.9%), flexibility delivery (89, 31.6%), and organization (75, 26.6%); 42 (14.9%) referenced characteristics that are not PRECIS-2 domains, most commonly type of intervention/comparator (48, 17%), recruitment without consent (22, 7.8%), routinely collected data (22, 7.8%), and cluster randomization (20, 7.1%). Most reports referenced only one or two design elements. Overall, 9/415 (2.2%) provided PRECIS wheels.
Current use of pragmatic labels is uninformative. Authors should clarify the decision the trial is intended to support and include a PRECIS-2 table to make the design transparent.
被贴上“实用主义”标签的随机试验对资助者、患者和临床医生很有吸引力,因为这一标签意味着结果直接适用于临床护理。我们研究了作者如何证明使用该标签的合理性(例如,参考一个或多个 PRECIS [实用解释连续体指标摘要]-2 领域)。
我们回顾了 2014 年至 2019 年期间发表的、在 ClinicalTrials.gov 上注册的、在报告的任何地方使用实用主义标签的主要试验报告。
在 415 项试验中,有 282 项(68.0%)通过参考至少一个设计元素来证明该标签的合理性;其中,240 项(85.1%)参考了可以映射到 PRECIS-2 领域之一或多个领域的试验特征,最常见的是入选标准(91,32.3%)、设置(90,31.9%)、灵活的实施(89,31.6%)和组织(75,26.6%);42 项(14.9%)参考了不属于 PRECIS-2 领域的特征,最常见的是干预/对照类型(48,17%)、未经同意招募(22,7.8%)、常规收集数据(22,7.8%)和集群随机化(20,7.1%)。大多数报告仅参考了一个或两个设计元素。总的来说,9/415(2.2%)提供了 PRECIS 车轮。
目前实用主义标签的使用没有提供信息。作者应阐明试验旨在支持的决策,并包括 PRECIS-2 表以使设计透明。