Department of Medical and Surgical Sciences and Advanced Technologies "G.F. Ingrassia", Neuroscience Section, University of Catania, Via S. Sofia 78, 95123 Catania, Italy.
Hospital Universitario Hernández Vera, Santa Cruz, Bolivia.
Epilepsy Behav. 2021 Feb;115:107680. doi: 10.1016/j.yebeh.2020.107680. Epub 2020 Dec 19.
In low- and middle-income countries (LMIC), the diagnosis of epilepsy should be made by Non-Physician Health Workers (NPHW) who are widely available in these settings. Recently a smartphone app (Epilepsy Diagnosis Aid) has been developed and validated to be used by NPHW, in order to confirm the diagnosis of epilepsy. The aim of our study was to perform a validation of the app in two different contexts: a hospital-based setting of a high-income country (HIC) and a population-based setting of the rural communities of a LMIC.
For the hospital-based setting, the app was administered to a sample of patients with epilepsy (PWE) and to a sample of subjects affected by syncope attending the epilepsy center of the University of Catania. For the population-based setting, performed in the rural communities of the Gran Chaco region in Bolivia,the app was administered by NPHW to a sample of PWE previously identified. Sensitivity and specificity were calculated for the diagnosis of epilepsy.
In the hospital-setting, the app was administered to 100 PWE and 20 syncopes. A probability score > 80 showed a sensitivity of 76% (95%CI 66.4-84) and a specificity of 100% (95%CI 83.2-100) for the diagnosis of epilepsy; higher values were found for active epilepsy with tonic-clonic seizures. In the rural-setting, the app was administered to 38 PWE, giving a sensitivity of 92.1% (95%CI 78.6-98.3).
The app for epilepsy could represent a valuable instrument, which can be easily employed by trained NPHW to diagnose epilepsy in primary health-care settings of LMIC.
在中低收入国家(LMIC),非医师卫生工作者(NPHW)可广泛用于诊断癫痫。最近,开发了一种智能手机应用程序(癫痫诊断辅助工具),可由 NPHW 使用以确认癫痫诊断。我们的研究旨在在两种不同环境下对该应用程序进行验证:高收入国家(HIC)的医院环境和 LMIC 农村社区的人群环境。
在医院环境中,对癫痫患者(PWE)样本和在卡塔尼亚大学癫痫中心就诊的晕厥患者样本使用该应用程序。在人群环境中,在玻利维亚大查科地区的农村社区,由 NPHW 对先前确定的 PWE 样本使用该应用程序。计算了用于诊断癫痫的敏感性和特异性。
在医院环境中,对 100 名 PWE 和 20 名晕厥患者使用了该应用程序。概率评分>80 时,癫痫诊断的敏感性为 76%(95%CI 66.4-84),特异性为 100%(95%CI 83.2-100);强直-阵挛性发作的活动性癫痫有更高的值。在农村环境中,对 38 名 PWE 使用了该应用程序,敏感性为 92.1%(95%CI 78.6-98.3)。
癫痫应用程序可能是一种有价值的工具,经过培训的 NPHW 可以在 LMIC 的初级卫生保健环境中轻松使用该工具诊断癫痫。