Usefulness of a smartphone application for the diagnosis of epilepsy: Validation study in high-income and rural low-income countries
Ficha
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Título
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Usefulness of a smartphone application for the diagnosis of epilepsy: Validation study in high-income and rural low-income countries
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Autoría
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Loretta Giuliano
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Calogero Edoardo Cicero
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Giancarlo Trimarchi
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Valeria Todaro
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Chiara Colli
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Elizabeth Blanca Crespo Gómez
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Alessandro Bartoloni
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Vito Sofia
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Victor Patterson
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Mario Zappia
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Descripción
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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.
Material and methods: 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.
Results: 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).
Conclusion: 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
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Formato
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PDF
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Idioma
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Inglés
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Editor
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Epilepsy & Behavior 115 (2021) 107680
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Identificador
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https://doi.org/10.1016/j.yebeh.2020.107680.
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Materia
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Epilepsy app Validation Telemedicine
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Fecha de entrega
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October 15, 2020
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Fecha de aceptación
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2020
