摘要
认识老年痴呆症患者的痛苦对于这个弱势群体的质量疼痛护理是一个相当大的挑战。没有认识,疼痛无法彻底评估和有效治疗。观察疼痛相关行为是确定中度至重度痴呆症患者或无力自我报告疼痛患者存在或可能发生疼痛的最有力的手段。本文的目的是讨论疼痛观察状态,主要针对疼痛行为工具开发,概述当前的疼痛工具,并在科学的这个阶段讨论挑战,包括评估疼痛强度的问题。我们还建议一些领域来优先考虑未来的研究,目的是推进老年痴呆症患者的有效疼痛评估。这些建议的核心是改进现有工具,以便随着科学在这一领域的进展,将最具预测性痴呆症患者的行为纳入其中。通过这些工具和技术的改进,痴呆症的疼痛观察的未来将进一步发展。通过这些建议的研究优先事项的结果,提高我们检测和评估难以自我报告痛苦的弱势群体的痛苦的能力,可能有助于解决由于无法识别和未经治疗的痛苦而产生的相关痛苦。
关键词: 老化,评估,行为,痴呆,测量,观察,疼痛,工具。
Current Alzheimer Research
Title:Observation of Pain in Dementia
Volume: 14 Issue: 5
关键词: 老化,评估,行为,痴呆,测量,观察,疼痛,工具。
摘要: Recognition of pain in older persons with dementia is a considerable challenge to quality pain care for this vulnerable population. Without recognition, pain cannot be thoroughly evaluated and effectively treated. Observing for pain-related behaviors is the most researched means of identifying the presence or likelihood of pain in persons with moderate to severe dementia, or those who are unable to self-report their pain. The purpose of this paper is to discuss the state of observation of pain, primarily focusing on pain behavior tool development, providing an overview of current pain tools and discussing the challenges at this stage of the science, including the issue of assessing pain intensity. We also recommend a number of areas to prioritize future research with the goal to advance effective pain assessment in older persons with dementia. Central to these recommendations is the refinement of existing tools to incorporate those behaviors most predictive of pain in persons with dementia as the science progresses in this area. The future of pain observation in dementia is poised for considerable advancement through these refinements of tools and techniques. Improving our ability to detect and evaluate pain in the vulnerable population unable to self-report their pain, through the results of these suggested research priorities, will likely assist in addressing the related suffering that results from unrecognized and untreated pain.
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Cite this article as:
Observation of Pain in Dementia, Current Alzheimer Research 2017; 14 (5) . https://dx.doi.org/10.2174/1567205013666160602234526
DOI https://dx.doi.org/10.2174/1567205013666160602234526 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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