Epidemiology Research Group EPIDOT, Department of Public Health, Federal University of Santa Catarina, Florianopolis, Santa Catarina, Brazil.
Welfare Footprint Project, Murcia, Spain.
BMC Res Notes. 2021 Jun 5;14(1):229. doi: 10.1186/s13104-021-05636-2.
To present the Pain-Track, a novel framework for the description and analysis of the pain experience based on its temporal evolution, around which intensity and other attributes of pain (texture, anatomy), interventions and clinical symptoms can be registered. This time-series approach can provide valuable insight on the expected evolution of the pain typically associated with different medical conditions and on time-varying (risk) factors associated with the temporal dynamics of pain.
We illustrate the use of the framework to explore hypotheses on the temporal profile of the pain associated with an acute injury (bone fracture), and the magnitude of the pain burden it represents. We also show that, by focusing on the critical dimensions of the pain experience (intensity and time), the approach can help map different conditions to a common scale directly relating to the experiences of those who endure them (time in pain), providing the basis for the quantification of the burden of pain inflicted upon individuals or populations. An electronic version for data entry and interpretation is also presented.
提出疼痛轨迹（Pain-Track），这是一种基于疼痛时间演变的疼痛体验描述和分析的新框架，可围绕其记录疼痛强度和其他属性（质地、解剖结构）、干预措施和临床症状。这种时间序列方法可以深入了解不同医疗条件下疼痛的预期演变，以及与疼痛时间动态相关的时变（风险）因素。
我们举例说明了该框架的使用，以探讨与急性损伤（骨折）相关的疼痛的时间特征假设，以及它所代表的疼痛负担的严重程度。我们还表明，通过关注疼痛体验的关键维度（强度和时间），该方法可以帮助将不同的情况映射到一个与那些忍受疼痛的人（疼痛持续时间）的体验直接相关的通用量表上，为对个人或人群的疼痛负担进行量化提供了基础。我们还提供了一个电子版本，用于数据输入和解释。
