With eHealth applications rising in popularity, revenue, and use, more disease-specific apps are being developed. In the context of chronic Parkinson’s disease (PD), which is after Alzheimer’s, one of the most common neurodegenerative diseases, eHealth apps can significantly benefit People with Parkinson’s (PwP). Through sensors, medication tracking, medical tests, or symptom diaries, the patients can collect data on which doctors can fine-tune their treatment plans, improving the patient’s quality of life. This paper proposes five design patterns, focusing on increasing user engagement in such an eHealth application for PwP. The patterns try to carefully suggest using gamification and nudging elements to fulfill the three basic needs of the self-determination theory (SDT), which are essential for fostering an intrinsic motivation to use an application. The design patterns are based on user research with PwP, family members, medical personnel, and related work studies. They were evaluated through iterative user tests with usability experts, PwP, and family members.

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Design Patterns for Creating Engaging eHealth Applications for People with Parkinson’s

  • Marius Nißlmüller,
  • René Reiners

摘要

With eHealth applications rising in popularity, revenue, and use, more disease-specific apps are being developed. In the context of chronic Parkinson’s disease (PD), which is after Alzheimer’s, one of the most common neurodegenerative diseases, eHealth apps can significantly benefit People with Parkinson’s (PwP). Through sensors, medication tracking, medical tests, or symptom diaries, the patients can collect data on which doctors can fine-tune their treatment plans, improving the patient’s quality of life. This paper proposes five design patterns, focusing on increasing user engagement in such an eHealth application for PwP. The patterns try to carefully suggest using gamification and nudging elements to fulfill the three basic needs of the self-determination theory (SDT), which are essential for fostering an intrinsic motivation to use an application. The design patterns are based on user research with PwP, family members, medical personnel, and related work studies. They were evaluated through iterative user tests with usability experts, PwP, and family members.