id='p-1'>Background: Pragmatic clinical trials (PCTs) are increasingly recommended to evaluate interventions in real-world conditions. Although PCTs share a c'/> Using the Pragmatic-Explanatory Continuum Indicator Summary (PRECIS) Model in Clinical Research: Application to Refine a Practice-based Research Network (PBRN) Study
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Using the Pragmatic-Explanatory Continuum Indicator Summary (PRECIS) Model in Clinical Research: Application to Refine a Practice-based Research Network (PBRN) Study

机译:在临床研究中使用语用解释性连续体指标摘要(PRECIS)模型:用于完善基于实践的研究网络(PBRN)研究的应用

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id="sec-1" class="subsection"> id="p-1">Background: Pragmatic clinical trials (PCTs) are increasingly recommended to evaluate interventions in real-world conditions. Although PCTs share a common approach of evaluating variables from actual clinical practice, multiple characteristics can differ. These differences affect interpretation of the trial. The Pragmatic-Explanatory Continuum Indicator Summary (PRECIS) model was developed in 2009 by the CONSORT Work Group on Pragmatic Trials, published by Thorpe et al, to aid in trial design. PRECIS provides clarity about the generalizability and applicability of a trial by depicting multiple study characteristics. We recently completed a National Institutes of Health–sponsored pilot study examining health-related outcomes for 2 complementary therapies for chronic low back pain in patients referred by primary care providers in the Kentucky Ambulatory Network. In preparation for a larger study, we sought to characterize the pragmatic features of the study to aid in our design decisions. The purpose of this article is to introduce clinical researchers to the PRECIS model while demonstrating its application to refine a practice based research network study. id="sec-2" class="subsection"> id="p-2">Method: We designed an exercise using an audience response system integrated with a Works in Progress presentation to experienced researchers at the University of Kentucky to examine our study methodologies of parameters suggested by the PRECIS model. id="sec-3" class="subsection"> id="p-3">Results: The exercise went smoothly and participants remained engaged throughout. The study received an overall summary score of 30.17 (scale of 0 to 48; a higher score indicates a more pragmatic approach), with component scores that differentiate design components of the study. A polar chart is presented to depict the pragmatism of the overall study methodology across each of these components. id="sec-4" class="subsection"> id="p-4">Conclusions: The study was not as pragmatic as expected. The exercise results seem to be useful in identifying necessary refinements to the study methodology that may benefit future study design and increase generalizability. Readers can identify how the PRECIS model may be used to provide clarity and transparency for proposed or existing studies and may wish to replicate our exercise in planning their own studies.
机译:id =“ sec-1” class =“ subsection”> id =“ p-1”> 背景:越来越多地建议采用务实的临床试验(PCT)来评估现实世界中的干预措施条件。尽管PCT共享一种从实际临床实践评估变量的通用方法,但多个特征可能有所不同。这些差异影响了审判的解释。实用解释性连续体指标摘要(PRECIS)模型是由Thorpe等人发布的CONSORT实用性试验工作组于2009年开发的,用于辅助试验设计。 PRECIS通过描述多种研究特征,使试验的一般性和适用性更加清晰。我们最近完成了一项由美国国立卫生研究院(National Institutes of Health)赞助的试验研究,研究了肯塔基州门诊网络中初级保健提供者推荐的两种慢性腰背痛补充疗法的健康相关结局。为了准备更大的研究,我们试图刻画研究的实用特性,以帮助我们进行设计决策。本文的目的是向临床研究人员介绍PRECIS模型,同时展示其在完善基于实践的研究网络研究中的应用。 id =“ sec-2” class =“ subsection”> id =“ p-2”> 方法:我们使用观众的反馈设计了一个练习该系统与正在进行的演示文稿相结合,向肯塔基大学的经验丰富的研究人员展示了我们的PRECIS模型所建议的参数研究方法。 id =“ sec-3” class =“ subsection”> id =“ p-3”> 结果:练习进行得很顺利,参与者保持了参与始终。这项研究的总体总体得分为30.17分(等级从0到48;较高的得分表示更务实的方法),其成分评分可以区分研究的设计成分。给出了一个极坐标图,以描述所有这些组件中整体研究方法的实用性。 id =“ sec-4” class =“ subsection”> id =“ p-4”> 结论:该研究并不像预期的那样务实。练习结果似乎有助于确定对研究方法的必要改进,这些改进可能有益于将来的研究设计并提高推广性。读者可以确定如何使用PRECIS模型为拟议或现有研究提供清晰和透明的信息,并希望在设计自己的研究时复制我们的研究成果。

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