|
KMID : 0123520220290010050
|
|
Journal of muscle and joint health
2022 Volume.29 No. 1 p.50 ~ p.59
|
|
|
Patient Experiences with Artificial Intelligence-Based Smartwatch for Diabetes Medication Monitoring Service
|
|
Lee Mi-Sun
Jeong Su-Yong
Lee Hwi-Won
|
|
|
Abstract
|
|
|
Purpose: This qualitative study aimed to explore the experiences of patients with diabetes provided with medicationmonitoring using an artificial intelligence-based smartwatch.
Methods: Giorgi's descriptive phenomenological methodologywas applied to collect and analyze data from November 9 to December 23, 2021. The study samples were recruitedby convenience sampling, and even patients with diabetes participated in in-depth interviews via video conference andtelephone calls or face-to-face visits.
Results: Ten sub-themes and four themes were finally revealed. The four themeswere as follows: journey with unfamiliar devices, a less-than-acceptable smartwatch, insufficient functions and contentfor patients with diabetes to use, and efforts for regular medication behaviors and daily monitoring of patient’s healthconditions.
Conclusion: To effectively manage diabetic conditions using digital healthcare technologies, nursinginterventions were needed to identify personal needs and consider technological, psychological, aesthetic, andsocioeconomic aspects of wearable devices.
|
|
|
KEYWORD
|
|
|
Diabetes mellitus, Medication adherence, Artificial intelligence, Wearable electronic devices
|
|
|
FullTexts / Linksout information
|
|
|
|
|
Listed journal information
|
|
|