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Stability monitoring of patients with myasthenia gravis using a mobile-based application

Background: Failure in early diagnosis of myasthenia gravis (MG) and the risks of taking certain medications and undergoing surgery and anesthesia can lead to severe respiratory disorders and death. However, there are therapeutic measures that significantly control the disease and improve individual...

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Autores principales: Alaei Tafti, Emad, Ghazisaeedi, Marjan, Sarraf, Payam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444596/
https://www.ncbi.nlm.nih.gov/pubmed/38011346
http://dx.doi.org/10.18502/cjn.v22i1.12615
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author Alaei Tafti, Emad
Ghazisaeedi, Marjan
Sarraf, Payam
author_facet Alaei Tafti, Emad
Ghazisaeedi, Marjan
Sarraf, Payam
author_sort Alaei Tafti, Emad
collection PubMed
description Background: Failure in early diagnosis of myasthenia gravis (MG) and the risks of taking certain medications and undergoing surgery and anesthesia can lead to severe respiratory disorders and death. However, there are therapeutic measures that significantly control the disease and improve individual’s functionality. Methods: First, an expert panel was formed, and a needs assessment questionnaire was prepared for the information elements and the capabilities required for the application and provided to neurologists with a subspecialty fellowship in neuromuscular diseases. Then, based on the analyzed results, the application was designed and created in 2 versions (physician and patient), and in 2 languages (Persian and English). Eventually, a questionnaire for user interaction and satisfaction was provided to 5 relevant physicians to evaluate the application. Results: The results showed that neurologists considered all items of the needs assessment questionnaire to be 100% essential. The capabilities of the application included registering the medication name and dose, recording symptoms and complaints by the patient, completing standard questionnaires, online chat, medication reminder, sending alerts to the doctor when the patient is unwell, and providing a variety of reports. The usability evaluation showed that neurologists evaluated the application at a good level with the average score of 8.23 ± 0.47 (out of 9 points). Conclusion: In the long run, using this technology can reduce costs, improve patients’ quality of life (QOL) and health care, change health behaviors, and ultimately, improve individual’s health.
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spelling pubmed-104445962023-08-24 Stability monitoring of patients with myasthenia gravis using a mobile-based application Alaei Tafti, Emad Ghazisaeedi, Marjan Sarraf, Payam Curr J Neurol Original Article Background: Failure in early diagnosis of myasthenia gravis (MG) and the risks of taking certain medications and undergoing surgery and anesthesia can lead to severe respiratory disorders and death. However, there are therapeutic measures that significantly control the disease and improve individual’s functionality. Methods: First, an expert panel was formed, and a needs assessment questionnaire was prepared for the information elements and the capabilities required for the application and provided to neurologists with a subspecialty fellowship in neuromuscular diseases. Then, based on the analyzed results, the application was designed and created in 2 versions (physician and patient), and in 2 languages (Persian and English). Eventually, a questionnaire for user interaction and satisfaction was provided to 5 relevant physicians to evaluate the application. Results: The results showed that neurologists considered all items of the needs assessment questionnaire to be 100% essential. The capabilities of the application included registering the medication name and dose, recording symptoms and complaints by the patient, completing standard questionnaires, online chat, medication reminder, sending alerts to the doctor when the patient is unwell, and providing a variety of reports. The usability evaluation showed that neurologists evaluated the application at a good level with the average score of 8.23 ± 0.47 (out of 9 points). Conclusion: In the long run, using this technology can reduce costs, improve patients’ quality of life (QOL) and health care, change health behaviors, and ultimately, improve individual’s health. Tehran University of Medical Sciences 2023-01-05 /pmc/articles/PMC10444596/ /pubmed/38011346 http://dx.doi.org/10.18502/cjn.v22i1.12615 Text en Copyright © 2023 Iranian Neurological Association, and Tehran University of Medical Sciences Published by Tehran University of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.
spellingShingle Original Article
Alaei Tafti, Emad
Ghazisaeedi, Marjan
Sarraf, Payam
Stability monitoring of patients with myasthenia gravis using a mobile-based application
title Stability monitoring of patients with myasthenia gravis using a mobile-based application
title_full Stability monitoring of patients with myasthenia gravis using a mobile-based application
title_fullStr Stability monitoring of patients with myasthenia gravis using a mobile-based application
title_full_unstemmed Stability monitoring of patients with myasthenia gravis using a mobile-based application
title_short Stability monitoring of patients with myasthenia gravis using a mobile-based application
title_sort stability monitoring of patients with myasthenia gravis using a mobile-based application
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444596/
https://www.ncbi.nlm.nih.gov/pubmed/38011346
http://dx.doi.org/10.18502/cjn.v22i1.12615
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