Escalona-Marfil Carles, Coda Andrea, Ruiz-Moreno Jorge, Riu-Gispert Lluís Miquel, Gironès Xavier
Facultat de Ciències de la Salut de Manresa, Universitat de Vic-Universitat Central de Catalunya, Manresa, Spain.
University School of Health and Sport, University of Girona, Salt (Girona), Spain.
J Med Internet Res. 2020 Feb 12;22(2):e13468. doi: 10.2196/13468.
Accurate measurement of pain is required to improve its management and in research. The visual analog scale (VAS) on paper format has been shown to be an accurate, valid, reliable, and reproducible way to measure pain intensity. However, some limitations should be considered, some of which can be implemented with the introduction of an electronic VAS version, suitable to be used both in a tablet and a smartphone.
This study aimed to validate a new method of recording pain level by comparing the traditional paper VAS with the pain level module on the newly designed Interactive Clinics app.
A prospective observational cross-sectional study was designed. The sample consisted of 102 participants aged 18 to 65 years. A Force Dial FDK 20 algometer (Wagner Instruments) was employed to induce mild pressure symptoms on the participants' thumbs. Pain was measured using a paper VAS (10 cm line) and the app.
Intermethod reliability estimated by ICC(3,1) was 0.86 with a 95% confidence interval of 0.81 to 0.90, indicating good reliability. Intramethod reliability estimated by ICC(3,1) was 0.86 with a 95% confidence interval of 0.81 to 0.90, also indicating good reliability. Bland-Altman analysis showed a difference of 0.175 (0.49), and limits of agreement ranged from -0.79 to 1.14.
The pain level module on the app is highly reliable and interchangeable with the paper VAS version. This tool could potentially help clinicians and researchers precisely assess pain in a simple, economic way with the use of a ubiquitous technology.
为了改善疼痛管理及开展相关研究,需要对疼痛进行准确测量。纸质格式的视觉模拟量表(VAS)已被证明是一种准确、有效、可靠且可重复的测量疼痛强度的方法。然而,应考虑到一些局限性,其中一些可以通过引入适用于平板电脑和智能手机的电子VAS版本来解决。
本研究旨在通过比较传统纸质VAS与新设计的交互式诊所应用程序中的疼痛水平模块,验证一种记录疼痛水平的新方法。
设计了一项前瞻性观察性横断面研究。样本包括102名年龄在18至65岁之间的参与者。使用Force Dial FDK 20压力痛觉计(瓦格纳仪器公司)在参与者的拇指上诱发轻度压力症状。使用纸质VAS(10厘米长的线条)和该应用程序测量疼痛。
通过组内相关系数ICC(3,1)估计的方法间可靠性为0.86,95%置信区间为0.81至0.90,表明可靠性良好。通过ICC(3,1)估计的方法内可靠性为0.86,95%置信区间为0.81至0.90,也表明可靠性良好。布兰德-奥特曼分析显示差异为0.175(0.49),一致性界限范围为-0.79至1.14。
该应用程序中的疼痛水平模块高度可靠,可与纸质VAS版本互换。该工具可能有助于临床医生和研究人员利用无处不在的技术,以简单、经济的方式精确评估疼痛。