Efficacy of Remote Monitoring of Overweight Patients with Connected Health Platform

Author Info

César Morcillo Serra Domingo Marzal Martín José Francisco Tomás Martínez

Corresponding Author

César Morcillo Serra
Medical Direction, Sanitas Digital Hospital, Barcelona, Spain

A B S T R A C T

Background: Mobile technology has emerged as a potentially useful platform to facilitate weight management and tackle the current obesity epidemic. Objective: To evaluate the efficacy of a remote monitoring platform for overweight patients. Methods: Multicenter prospective observational study of overweight patients seen in an endocrinology clinic of 5 healthcare centers, between August 2017 and August 2020, who were followed with the Connected Health telemonitoring platform. The mobile phone application connected to a scale and activity wristband, allowed to measure weight, activity, answer health questionnaire and its management by the medical team that could be contacted by video consultation. Results: 79 patients (57% female) with a mean age of 46,8 (SD 23-70) years were included with a mean follow-up of 12.9 months (SD 4-36). The application allowed to measure weight, activity and quality of life and no patient presented complications. The mean weight of all patients at the beginning of the intervention was 84.1 kg and at the end of the follow-up it was 82.4 kg, with a mean reduction of 1.7 kg (p<0.05). The average state of health of all patients at baseline was 62 (SD 34-100) and at the end of the follow-up was 66 (SD 38-100) (p<0.05). Conclusion: Telemonitoring allows a safe remote monitoring of overweight patients. The Connected Health application allowed the measurement of weight, activity and quality of life, and was associated with significant changes in body weight.

Article Info

Article Type

Research Article

Publication history

Received: Sat 08, Aug 2020
Accepted: Thu 20, Aug 2020
Published: Fri 28, Aug 2020

Copyright

© 2023 César Morcillo Serra. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.
DOI: 10.31487/j.JICOA.2020.04.17