TY  - JOUR
AU  - Iino, Haru
AU  - Kizaki, Hayato
AU  - Imai, Shungo
AU  - Hori, Satoko
PY  - 2024
DA  - 2024/11/27
TI  - Medication Management Initiatives Using Wearable Devices: Scoping Review
JO  - JMIR Hum Factors
SP  - e57652
VL  - 11
KW  - medication adherence
KW  - scoping review
KW  - database search
KW  - integrated medication management
KW  - drug
KW  - pharmacy
KW  - pharmacology
KW  - pharmacotherapy
KW  - pharmaceutics
KW  - medication
KW  - adherence
KW  - wearable
KW  - synthesis
KW  - review methods
KW  - digital health
AB  - Background: Wearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such as heart rate and blood oxygen levels. Their application in health care, particularly medication management, is an emerging field poised to significantly enhance patient adherence to treatment regimens. Despite their widespread use and increasing incorporation into clinical trials, a comprehensive review of WDs in terms of medication adherence has not been conducted. Objective: This study aimed to conduct a comprehensive scoping review to evaluate the impact of WDs on medication adherence across a variety of diseases, summarizing key research findings, outcomes, and challenges encountered. Methods: Adhering to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, a structured search was conducted across MEDLINE, Web of Science, and Embase databases, covering the literature from January 1, 2010, to September 30, 2022. The search strategy was based on terms related to WDs and medication adherence, specifically focusing on empirical studies to ensure the inclusion of original research findings. Studies were selected based on their relevance to medication adherence, usage of WDs in detecting medication-taking actions, and their role in integrated medication management systems. Results: We screened 657 articles and identified 18 articles. The identified studies demonstrated the diverse applications of WDs in enhancing medication adherence across diseases such as Parkinson disease, diabetes, and cardiovascular conditions. The geographical distribution and publication years of these studies indicate a growing interest in this research area. The studies were divided into three types: (1) studies reporting a correlation between data from WDs or their usage and medication adherence or drug usage as outcomes, (2) studies using WDs to detect the act of medication-taking itself, and (3) studies proposing an integrated medication management system that uses WDs in managing medication. Conclusions: WDs are increasingly being recognized for their potential to enhance medication management and adherence. This review underscores the need for further empirical research to validate the effectiveness of WDs in real-life settings and explore their use in predicting adherence based on activity rhythms and activities. Despite technological advancements, challenges remain regarding the integration of WDs into routine clinical practice. Future research should focus on leveraging the comprehensive data provided by WDs to develop personalized medication management strategies that can improve patient outcomes. 
SN  - 2292-9495
UR  - https://humanfactors.jmir.org/2024/1/e57652
UR  - https://doi.org/10.2196/57652
DO  - 10.2196/57652
ID  - info:doi/10.2196/57652
ER  -