Efficacy of a Self-Monitoring Traffic Light for Weight Control in Patients with Heart Failure in a Telerehabilitation Program.

Abstract

Heart Failure (HF), a life-threatening condition, poses a significant global health challenge. Monitoring patients' symptoms and weight is essential, as key HF symptoms tend to cause weight gain and indicate decompensation. The aim of this study is to evaluate the effect of a traffic light algorithm on home monitoring of weight in HF patients. In the project 'Future Patient - Telerehabilitation of Patients with HF II', HF patients monitored their weight, blood pressure, pulse, steps, and sleep at home. Data has been transmitted to the web portal HeartPortal. Each measurement in the weight overview was color-coded using a traffic light algorithm that would indicate whether the patient's weight changes were within the acceptable range. The patients' monitoring data, along with their questionnaire responses, were then analyzed and interpreted. The analysis of the data suggests that the traffic light was effective in alerting patients to weight changes according to clinical guidelines. Most of the patients noticed the traffic light and understood the significance of the colors. The study demonstrates that the traffic light is an effective tool for alerting HF patients to weight fluctuations. The traffic light provides early warnings, enabling timely interventions, and encouraging patient engagement in understanding the causes behind weight changes.