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Self-care mobile application for people with Amyotrophic Lateral Sclerosis: a development and usability test
1College of Nursing, Dankook University, Cheonan-si, Korea.
Summary
A new mobile app helps amyotrophic lateral sclerosis (ALS) patients manage their health. Developed with patient input, it offers data tracking and tailored information, showing promise for improved self-care.
Area of Science:
- Biomedical Informatics
- Digital Health
- Neurology
Background:
- Amyotrophic Lateral Sclerosis (ALS) presents significant challenges for patient self-care and disease management.
- Existing mobile technologies offer potential but often lack tailored features for specific neurological conditions like ALS.
Purpose of the Study:
- To develop and evaluate the usability of a mobile application designed to enhance self-care for individuals with ALS.
- To provide ALS patients and their families with a tool for managing disease-related data and accessing relevant information.
Main Methods:
- The mobile application was developed using the System Development Life Cycle, incorporating content from literature reviews and stakeholder interviews.
- Usability was assessed by experts (n=7) and target users, ALS patients and caregivers (n=18), using the System Usability Scale (SUS).
Main Results:
- The application features include tailored health data visualization, symptom tracking, text-to-speech, and customized information based on the ALS Functional Rating Scale-Revised.
- The mean SUS scores were 75.00±9.57 for experts and 63.75±10.26 for target users, indicating acceptable usability.
Conclusions:
- The mobile application is deemed practical, acceptable, and feasible for ALS patients and caregivers.
- Positive user feedback highlights the app's potential to improve self-care management and patient-centered care in ALS.
