@文章{信息:doi/10.2196/13468，作者=“escalone - marfil, Carles and Coda, Andrea and Ruiz-Moreno, Jorge and Riu-Gispert, Llu{\'i}s Miquel and Giron{\ ' e}s, Xavier”，标题=“用于急性疼痛评估的电子视觉模拟量表移动健康工具的验证:前瞻性横断面研究”，期刊=“J Med Internet Res”，年=“2020”，月=“Feb”，日=“12”，卷=“22”，号=“2”，页=“e13468”，关键词=“疼痛”;视觉模拟疼痛量表;疼痛测量;移动电话;移动健康;验证;背景:准确测量疼痛是提高疼痛管理和研究水平的必要条件。视觉模拟量表(VAS)已被证明是一种准确、有效、可靠和可重复的测量疼痛强度的方法。然而，应该考虑到一些限制，其中一些可以通过引入电子VAS版本来实现，适合在平板电脑和智能手机中使用。目的:通过比较新设计的Interactive Clinics应用程序上传统的纸质VAS和疼痛等级模块，验证一种记录疼痛等级的新方法。方法:设计前瞻性观察横断面研究。 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. Results: 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 ICCa(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. Conclusions: 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. ", issn="1438-8871", doi="10.2196/13468", url="//www.mybigtv.com/2020/2/e13468/", url="https://doi.org/10.2196/13468", url="http://www.ncbi.nlm.nih.gov/pubmed/32049063" }