reCOVery: Developing a React Native Diary Mobile Application for Long COVID Patients
Stransky-Heilkron, Isabelle Marguerite Mady (2024)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024052917735
https://urn.fi/URN:NBN:fi:amk-2024052917735
Tiivistelmä
The COVID epidemic has resulted in many people suffering from a condition called long COVID. La Lignière, a Swiss health institute, offers a rehabilitation program to help long COVID patients in managing their condition. An aspect of this program is for the patient to keep a written daily diary to record their symptoms and activities. This thesis, undertaken in spring 2024, addresses the needs for a mobile application to replace this paper diary, facilitating the process of keeping this diary for the patient. The objective was to develop a cross-platform React Native mobile application, focusing on the user design, and diminishing the blue light emission. User testing and deployment of the application were not part of the scope of this thesis due to logistics constraints.
A theoretical framework explaining user experience, including Empathy map and Nielsen’s heuristics, user stories and MoSCoW prioritisation technique, Swiss data protections laws and blue light was used to guide the development process.
The application’s interface features a daily questionnaire for symptom monitoring, daily activities tracking and a results screen for visualizing symptoms and activities data over time. The interface design and colour palette were chosen to accommodate the needs of long COVID patients and reducing digital blue light emission. A local encrypted database was chosen to ensure user data privacy according to Swiss data protection laws.
The resulting application is functional and user-friendly, ready for user testing. Future work will include user testing to improve the application, as well as new features such as a dark mode and multilingual support.
Despite facing challenges in project management and platform testing, the thesis was completed on time. The emergence of similar applications during the completion of this thesis, though missing some key features of this project, highlights the relevance of this project.
A theoretical framework explaining user experience, including Empathy map and Nielsen’s heuristics, user stories and MoSCoW prioritisation technique, Swiss data protections laws and blue light was used to guide the development process.
The application’s interface features a daily questionnaire for symptom monitoring, daily activities tracking and a results screen for visualizing symptoms and activities data over time. The interface design and colour palette were chosen to accommodate the needs of long COVID patients and reducing digital blue light emission. A local encrypted database was chosen to ensure user data privacy according to Swiss data protection laws.
The resulting application is functional and user-friendly, ready for user testing. Future work will include user testing to improve the application, as well as new features such as a dark mode and multilingual support.
Despite facing challenges in project management and platform testing, the thesis was completed on time. The emergence of similar applications during the completion of this thesis, though missing some key features of this project, highlights the relevance of this project.