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Designing for Improved Patient Experiences in Home Dialysis: Usability and User Experience Findings From User-Based
Anna Aspelund1, Paula Valkonen1, Johanna Viitanen1
1Department of Computer Science, Aalto University, Espoo, Finland.
This study evaluated the eC4Me digital health solution for chronic kidney disease patients, finding it has usability issues but positive user experience. Patient involvement is key for improving eHealth tools in home dialysis care.
Area of Science:
- Digital Health
- Medical Informatics
- Patient Care Technology
Background:
- Chronic kidney disease (CKD) affects 10% of the global population, with rising end-stage kidney disease treatment needs.
- Innovative digital solutions are crucial for enhancing CKD patient care efficiency and quality of life.
- The eC4Me solution was developed to support predialysis and home dialysis for CKD patients.
Purpose of the Study:
- To evaluate the usability, user experience (UX), and patient experience (PX) of the initial eC4Me eHealth solution.
- Assess the effectiveness of the eC4Me solution in facilitating predialysis and home dialysis care.
- Identify areas for improvement in the eC4Me solution based on user feedback.
Main Methods:
- A user-based evaluation approach was employed, including usability testing, questionnaires, and interviews.
- Remote testing sessions involved 10 CKD patients, some with prior experience and some new to the solution.
- Thematic analysis and descriptive statistics (UMUX scores) were used to analyze collected data.
Main Results:
- Usability challenges were identified, primarily in navigation, terminology, and data presentation.
- Despite challenges, the Usability Metric for User Experience (UMUX) ratings were generally positive.
- Patient experience insights highlighted the need for the solution to align with patient goals and daily life.
Conclusions:
- User-based evaluation is essential for developing effective eHealth solutions.
- Findings provide a basis for enhancing the usability and UX of the eC4Me solution.
- Active patient involvement in specifying relevant information is critical for successful digital health tool development.
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