Determining Minimum Wear Time for Mobile Sensor Technology.

Area of Science:

• Clinical research methodology
• Digital health technologies
• Biomedical data science

Background:

• Mobile sensor technology (MST) is increasingly used in clinical studies.
• Defining a minimum valid dataset for MSTs presents a significant challenge.
• Incomplete data from MSTs can compromise study integrity and conclusions.

Purpose of the Study:

• To provide guidance on determining minimum wear time for MSTs in clinical studies.
• To address the dilemma of establishing a minimum valid dataset for reliable clinical endpoint estimation.
• To review literature on minimum data set requirements, risks of missing data, and patient burden.

Main Methods:

• Literature review on defining minimum data sets for mobile sensor technology.
• Analysis of risks associated with incomplete data collection in clinical trials.
• Examination of factors influencing data integrity and alignment with clinical endpoints.

Main Results:

• Establishing a minimum wear time is essential for reliable clinical endpoint estimation using MSTs.
• Incomplete data due to participant behavior or technical issues can lead to incorrect conclusions.
• Alignment between MST data collection and study objectives is critical.

Conclusions:

• Researchers must carefully consider minimum wear time requirements for MSTs.
• Strategies for managing missing data and patient burden are necessary for successful MST implementation.
• Proper protocol design and participant engagement are key to ensuring data quality in mobile sensor-based clinical studies.