IJCISIJCIS

International Journal of Computer and Information System (IJCIS)International Journal of Computer and Information System (IJCIS)

Lupus is a chronic autoimmune disease characterized by unpredictable cycles of remission and flare-ups, making regular monitoring of symptoms essential. However, many people with lupus experience challenges in consistently tracking their health due to brain fog, fatigue, and the wide variation of symptoms, which often leads to missed medication schedules and incomplete symptom records. This study aims to develop a mobile self-management application designed to help individuals with lupus monitor their health, manage their medications, and increase awareness of self-care activities. The development process employed the DMAIC (Define–Measure–Analyze–Improve–Control) framework, with the initial application prototype created using Figma. The prototype was tested with 22 respondents who are people with lupus (ODAPUS) to gather user feedback. The results indicate that users evaluated the application positively and found it beneficial for daily health management. Nevertheless, they recommended simplifying the interface and user flow to enhance usability. These insights will guide further improvements in the next stage of development.

This research successfully developed a mobile application interface designed to assist individuals with Systemic Lupus Erythematosus (SLE) in self-managing their health.The study found that most respondents have a habit of independently recording their health, but face challenges with symptom tracking, medication adherence, and app usage.The improved interface, based on user feedback, prioritizes simplicity, intuitive design, and customizable features to better support the needs of people with lupus.

Future research should explore the integration of the application with wearable sensors to automatically track physiological data, such as activity levels and sleep patterns, providing a more comprehensive view of the patients health status. Additionally, investigating the potential of incorporating artificial intelligence (AI) to predict flare-ups based on collected data could enable proactive interventions and personalized treatment plans. Finally, a long-term randomized controlled trial is needed to evaluate the clinical effectiveness of the application in improving medication adherence, reducing symptom severity, and enhancing the overall quality of life for individuals living with lupus, while also assessing the sustainability of user engagement over extended periods.

  1. The design process and development of MySleepSolutions - A sleep module for a lifestyle self-management... journals.sagepub.com/doi/10.1177/14604582251340548The design process and development of MySleepSolutions A sleep module for a lifestyle self management journals sagepub doi 10 1177 14604582251340548
  2. Pathogenesis of systemic lupus erythematosus | Journal of Clinical Pathology. pathogenesis systemic lupus... doi.org/10.1136/jcp.56.7.481Pathogenesis of systemic lupus erythematosus Journal of Clinical Pathology pathogenesis systemic lupus doi 10 1136 jcp 56 7 481
Read online
File size603.46 KB
Pages9
DMCAReport

Related /

ads-block-test