用于成人术后患者的多维疼痛评估工具的可靠性、有效性和普遍性:一项系统评价方案。

Samuel Lapkin, Ritin Fernandez, Laura Ellwood, Ashish Diwan
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引用次数: 4

摘要

目的:本综述的目的是评估成人术后疼痛的多维疼痛评估工具的测量特性。有效的术后疼痛管理可以提高患者的安全性和满意度,并降低医疗成本。最常用的术后疼痛评估工具仅评估疼痛强度,这只是疼痛感觉维度的一个方面。疼痛是一种主观现象,患者之间存在差异。努力正在进行纳入多维评估工具的术后疼痛评估在临床实践中。纳入标准:符合条件的研究将包括来自所有外科学科的18岁及以上的术后患者。在手术后的前两周,将考虑评估多维评估工具测量术后疼痛的研究。研究将包括评估工具作为结果的以下测量属性:可靠性、有效性和概括性。方法:检索MEDLINE, CINAHL, Embase, PsycINFO和Cochrane Trials (CENTRAL), ClinicalTrials.gov和多个灰色文献来源。没有出版日期的限制。题目和摘要将由独立审稿人筛选纳入。将检索选定论文的全文,并根据纳入标准进行评估。两名独立审稿人将使用COSMIN核对表评估论文的方法学质量,相关项目得分较低的论文将被排除在外。数据将由两名独立的审稿人使用标准化的数据提取工具提取。如果可能,将执行统计池。
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Reliability, validity and generalizability of multidimensional pain assessment tools used in postoperative adult patients: a systematic review protocol.

Objective: The objective of this review is to evaluate the measurement properties of multidimensional pain assessment tools for postoperative pain in adults.

Introduction: Effective postoperative pain management increases patient safety and satisfaction, and reduces healthcare costs. The most commonly used postoperative pain assessment tools only evaluate pain intensity, which is only one aspect of the sensory dimension of pain. Pain is a subjective phenomenon, and variability exists among patients. Efforts are underway to incorporate multidimensional assessment tools for postoperative pain assessment in clinical practice.

Inclusion criteria: Eligible studies will include postoperative patients aged 18 years and older from all surgical disciplines. Studies evaluating multidimensional assessment instruments for the measurement of postoperative pain during the first two weeks following surgery will be considered. Studies will include the following measurement properties of assessment tools as outcomes: reliability, validity and generalizability.

Methods: MEDLINE, CINAHL, Embase, PsycINFO and Cochrane Trials (CENTRAL) will be searched, as well as ClinicalTrials.gov and multiple gray literature sources. There will be no limitations on publication date. Titles and abstracts will be screened by independent reviewers for inclusion. The full text of selected papers will be retrieved and assessed against the inclusion criteria. Two independent reviewers will assess papers for methodological quality using the COSMIN checklist, and papers with poor scores on relevant items will be excluded. Data will be extracted by two independent reviewers using a standardized data extraction tool. Statistical pooling will be performed, if possible.

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