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Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design

机译:全膝关节和全髋关节置换术后疼痛(MAPP)管理算法的开发:研究原理和设计

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Background Evidence from clinical practice and the extant literature suggests that post-operative pain assessment and treatment is often suboptimal. Poor pain management is likely to persist until pain management practices become consistent with guidelines developed from the best available scientific evidence. This work will address the priority in healthcare of improving the quality of pain management by standardising evidence-based care processes through the incorporation of an algorithm derived from best evidence into clinical practice. In this paper, the methodology for the creation and implementation of such an algorithm that will focus, in the first instance, on patients who have undergone total hip or knee replacement is described. Methods In partnership with clinicians, and based on best available evidence, the aim of the Management Algorithm for Post-operative Pain (MAPP) project is to develop, implement, and evaluate an algorithm designed to support pain management decision-making for patients after orthopaedic surgery. The algorithm will provide guidance for the prescription and administration of multimodal analgesics in the post-operative period, and the treatment of breakthrough pain. The MAPP project is a multisite study with one coordinating hospital and two supporting (rollout) hospitals. The design of this project is a pre-implementation-post-implementation evaluation and will be conducted over three phases. The Promoting Action on Research Implementation in Health Services (PARiHS) framework will be used to guide implementation. Outcome measurements will be taken 10 weeks post-implementation of the MAPP. The primary outcomes are: proportion of patients prescribed multimodal analgesics in accordance with the MAPP; and proportion of patients with moderate to severe pain intensity at rest. These data will be compared to the pre-implementation analgesic prescribing practices and pain outcome measures. A secondary outcome, the efficacy of the MAPP, will be measured by comparing pain intensity scores of patients where the MAPP guidelines were or were not followed. Discussion The outcomes of this study have relevance for nursing and medical professionals as well as informing health service evaluation. In establishing a framework for the sustainable implementation and evaluation of a standardised approach to post-operative pain management, the findings have implications for clinicians and patients within multiple surgical contexts.
机译:背景技术从临床实践和现有文献中得出的证据表明,术后疼痛评估和治疗通常不是最佳的。在疼痛管理实践与根据最佳科学证据制定的指导方针一致之前,可能会持续存在不良的疼痛管理。这项工作将通过将基于最佳证据的算法整合到临床实践中,使基于证据的护理流程标准化,从而解决改善疼痛管理质量的医疗保健工作中的优先事项。在本文中,描述了用于创建和实现这种算法的方法,该方法首先将重点放在已进行全髋关节或膝关节置换术的患者身上。方法与临床医生合作,并基于最佳证据,“术后疼痛管理算法”(MAPP)项目的目的是开发,实施和评估旨在支持骨科患者疼痛管理决策的算法手术。该算法将为术后多峰镇痛药的处方和给药以及突破性疼痛的治疗提供指导。 MAPP项目是一个多站点研究,其中有一个协调医院和两个支持(推广)医院。该项目的设计是实施前,实施后的评估,将分三个阶段进行。卫生服务研究实施促进行动(PARiHS)框架将用于指导实施。结果测量将在实施MAPP后10周进行。主要结果是:按照MAPP处方多峰镇痛药的患者比例;和中度至重度休息时疼痛强度的患者比例。这些数据将与实施前的止痛药处方做法和疼痛预后措施进行比较。通过比较遵守或未遵循MAPP指南的患者的疼痛强度评分,可以衡量MAPP的疗效是次要结果。讨论本研究的结果对护理和医疗专业人员以及告知卫生服务评估均具有重要意义。在建立可持续实施和评估术后疼痛管理标准化方法的框架时,研究结果对多种手术环境下的临床医生和患者具有重要意义。

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