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Identifying data elements and key features of a mobile-based self-care application for patients with COVID-19 in Iran.

Heydari MohammadMonaghesh ElhamSeyed Ahmad Seyed AlinaghiVahideh AghamohammadiSeyedahmad SeyedalinaghiSaieed KalantariMehrabi NahidKhadijeh Nasiri
Published in: Health informatics journal (2022)
Mobile Health applications have shown different usages in the COVID-19 pandemic, which consisted of empowering patient's awareness, promoting patient's self-care, and self-monitor behaviors. The purpose of this study is to identify key features and capabilities of a mobile-based application for self-care and self-management of people with COVID-19 disease. This study was a descriptive-analytical study that was conducted in two main phases in 2020. In the first phase, a literature review study was performed. In the second phase, using the information obtained from the review of similar articles, a questionnaire was designed to validate identified requirements. Based on the results of the first phase, 53 data elements and technical key features for mobile-based self-care application for people with COVID-19 were identified. According to the statistical population, 11 data elements for demographic requirements, 11 data elements for clinical requirements, 15 data elements for self-care specifications, and 16 features for the technical capability of this app were determined. Most of the items were selected by infectious and internal medicine specialists (94%). This study supports that the use of mobile-based applications can play an important role in the management of this disease. Software design and development could help manage and improve patients' health status.
Keyphrases
  • coronavirus disease
  • sars cov
  • case report
  • healthcare
  • big data
  • cross sectional
  • mass spectrometry
  • social media
  • health information