Electronic Health Lifestyle Coaching Among Diabetes Patients in a Real-Life Municipality Setting: Observational Study

Anastasija Komkova, Carl Joakim Brandt, Daniel Hansen Pedersen, Martha Emneus, Camilla Sortsø, Anastasija Komkova, Carl Joakim Brandt, Daniel Hansen Pedersen, Martha Emneus, Camilla Sortsø

Abstract

Background: Internet and mobile interventions aiming to promote healthy lifestyle have attracted much attention because of their scalability and accessibility, low costs, privacy and user control, potential for use in real-life settings, as well as opportunities for real-time modifications and interactive advices. A real-life electronic health (eHealth) lifestyle coaching intervention was implemented in 8 Danish municipalities between summer 2016 and summer 2018.

Objective: The aim of this study was to assess the effects associated with the eHealth intervention among diabetes patients in a real-life municipal setting. The eHealth intervention is based on an initial meeting, establishing a strong empathic relationship, followed by digital lifestyle coaching and collaboration supported by a Web-based community among patients.

Methods: We conducted an observational study examining the effect of an eHealth intervention on self-reported weight change among 103 obese diabetes patients in a real-life municipal setting. The patients in the study participated in the eHealth intervention between 3 and 12 months. A weight change was observed at 6, 9, and 12 months. We used regression methods to estimate the impacts of the intervention on weight change.

Results: We found that the eHealth intervention significantly reduced weight among diabetes patients, on average 4.3% of the initial body mass, which corresponds to 4.8 kg over a mean period of 7.3 months. Patients who were in intervention for more than 9 months achieved a weight reduction of 6.3% or 6.8 kg.

Conclusions: This study brings forward evidence of a positive effect of a real-life eHealth lifestyle intervention on diabetes patients' lifestyle in a municipal setting. Future research is needed to show if the effect is sustainable from a long-term perspective.

Keywords: diabetes mellitus; eHealth; healthy lifestyles; obesity; weight reduction.

Conflict of interest statement

Conflicts of Interest: The Institute of Applied Economics and Health Research Aps (ApHER) received a grant from LIVA Healthcare A/S to conduct the analysis. AK, ME, and CS were employed at ApHER. CJB owns stocks in LIVA Healthcare A/S, the company that developed parts of the technical platform and hosted some of it during the study. DH is employed by LIVA Healthcare A/S.

©Anastasija Komkova, Carl Joakim Brandt, Daniel Hansen Pedersen, Martha Emneus, Camilla Sortsø. Originally published in JMIR Diabetes (http://diabetes.jmir.org), 12.03.2019.

Figures

Figure 1
Figure 1
Overview of the eHealth intervention.
Figure 2
Figure 2
Patient experience using the eHealth intervention.
Figure 3
Figure 3
Healthcare professionals experience using the eHealth intervention.
Figure 4
Figure 4
Observed weight change among the diabetes patients.
Figure 5
Figure 5
Distribution of percentage weight change among the diabetes patients.
Figure 6
Figure 6
Weight change among the diabetes patients in intervention. Each dot represents a weight change estimated from the weight parameters registered by each diabetes patient. The red line with grey area illustrates prediction from a linear regression of weight change on days in intervention, including the CIs.

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