Application and Benefit Evaluation of Wearable Technology and Information Software-Based Psychological Stress Monitoring in Return-to-Work Healthcare for Injured Workers: A Longitudinal Study

Overview

Objective This study aims to develop and evaluate a multidisciplinary service model that integrates wearable devices and mobile health applications to monitor the physical and mental health of workers with occupational injuries during their return-to-work process. Background With advances in digital health, smartwatches and mobile applications are increasingly used in healthcare to support personalized monitoring and intervention. This project targets injured workers attending occupational medicine clinics, using smartwatches to monitor physiological data and a mobile application to assess psychological status. The model includes remote mental health support and aims to assess its impact on return-to-work outcomes and psychological well-being. Methods A total of 120 eligible injured workers will be randomly assigned to an intervention or control group. All participants will receive standard outpatient care. The intervention group will additionally use a smartwatch for physiological monitoring and a mobile app for daily to weekly psychological assessments. The 6-month follow-up will evaluate return-to-work success rate, time to return, post-return quality of life, and mental health status. Intervention Tools The NTU Medical Genie, Labfront, and LINE@ platforms will facilitate real-time monitoring and batch downloading of smartwatch data, as well as the distribution of mood and stress-related questionnaires. At least three occupational rehabilitation education modules will be developed, and case managers will deliver individualized health education and psychological support. Expected Outcomes The study will assess the effectiveness of this technology-supported, cross-disciplinary care model in improving return-to-work outcomes, mental health, and quality of life. It will also explore participant satisfaction and acceptance of the model. The findings are expected to inform future occupational health interventions and enhance care quality for injured workers.