Previously submitted to: JMIR Research Protocols (no longer under consideration since Nov 22, 2023)
Date Submitted: May 10, 2022
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Protocol for an experimental study design that uses mobile sensor data to aid clinical decision-making at the individual and community level
ABSTRACT
Background:
The mobile sensor data can provide vital information about patients’ behavior and physical activity. In particular, the mobile accelerometer sensor data, if monitored effectively, can be used further for keeping the watch on the physical activity of an individual and planning an intervention to improve it. These sensor data can also be used for improving clinical decision-making in sedentary lifestyle-related diseases.
Objective:
The objective of this study is to use the accelerometer sensor metadata of the mobile device in facilitating the delivery of interventions to enhance physical activity.
Methods:
A sequential explanatory mixed-method research design would be used between June 2022 to December 2022. The physical activity-related accelerometer sensor data will be collected from individuals with a sedentary lifestyle between the age of 30 to 45 visiting the clinics of selected health care providers in Chennai, Tamil Nadu. Based on the initial data recorded, an individualized activity plan will be created. Periodic monitoring of physical activity levels will be conducted over a three months period. Participants will receive the message from clinicians based on their current physical activity levels for encouraging them to adhere to the prescribed regimen suggested by clinicians.
Results:
The proposed research will help in exploring the role of remote monitoring of sensor data in improving adherence to physical activity plan as prescribed by their clinicians. It will also help in studying the variables that influence the monitoring of remote data collection.
Conclusions:
This study will help to bring improvement in the physical activity levels of patients with a sedentary lifestyle and with confirmed hypertension and type-2 diabetes through remote monitoring, ongoing messaging, and facilitation through clinical decision-making.
Citation
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Copyright
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