A Mobile App for Comprehensive Symptom Management in People With Parkinson's Disease: A Pilot Usability Study.
JuHee LeeYujin SuhEunyoung KimSubin YooYielin KimPublished in: Computers, informatics, nursing : CIN (2024)
There is an increasing need for highly accessible health management platforms for comprehensive symptoms of Parkinson disease. Mobile apps encompassing nonmotor symptoms have been rarely developed since these symptoms are often subjective and difficult to reflect what individuals actually experience. The study developed an app for comprehensive symptom management and evaluated its usability and feasibility. A single-group repeated measurement experimental design was used. Twenty-two participants used the app for 6 weeks. Monitoring of nonmotor symptoms, games to address motor symptoms, and medication management were incorporated in the app. Quantitative outcomes were self-assessed through an online questionnaire, and one-on-one telephone interviews were conducted to understand the user's point of view. The successful experience of self-monitoring had improved participants' self-efficacy ( Z = -3.634, P < .001) and medication adherence ( Z = -3.371, P = .001). Facilitators included a simple-to-use interface, entertaining content, and medication helps. Barriers included simple forgetfulness and digital literacy, including unfamiliarity with mobile phone manipulation itself. The study suggested insight into the app use related to acceptability of mobile technology. The preliminary effects on self-efficacy and medication adherence will guide future nursing interventions using mobile health. Our approach will contribute to improving the continuum of care for Parkinson disease by promoting self-monitoring of symptoms.
Keyphrases
- parkinson disease
- healthcare
- sleep quality
- health information
- mental health
- public health
- emergency department
- metabolic syndrome
- physical activity
- clinical trial
- depressive symptoms
- cross sectional
- weight loss
- social media
- mass spectrometry
- electronic health record
- quality improvement
- health insurance
- risk assessment
- gestational age
- pain management