A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Design and Evaluation of a Smartwatch-Based Physiological Signal-Driven Workplace Stress Management mHealth Tool for Bangladeshi Healthcare Professionals
Healthcare professionals (HCPs) in lower- and middle-income countries (LMICs) like Bangladesh often face high levels of workplace stress, which can negatively impact their mental well-being. However, this issue is frequently overlooked. Mobile health (mHealth) tools, integrated with wearable devices like smartwatches, have the potential to play a significant role in managing workplace stress among HCPs by leveraging physiological signals. This study explored the design and usability evaluation of a user-centered mHealth tool named ‘FreedHCP,’ aimed at managing stress among HCPs in Bangladesh. The research objectives include conducting design requirements and needfinding analysis, developing a high-fidelity prototype, and evaluating the usability of FreedHCP. A survey involving 71 HCPs revealed that high workload, patient and family pressure, and staffing shortages were major stressors, while social support, taking short breaks, and time management were effective coping strategies. Participants expressed a desire for features like guided meditation sessions, personalized stress management plans, realtime health tracking, and willingness to use a smartwatch-based mHealth app for real-time stress monitoring. Based on these insights, the FreedHCP offers five feature categories: ‘Assigned Tasks', ‘Notification Settings', ‘Get Help’, ‘Wellness Check’, and ‘Supervisor Dashboard’. The usability evaluation revealed that the ‘Smart Monitoring’ feature from the ‘Wellness Check’ category was the most liked, with 29.2% of votes. The app achieved a mean System Usability Scale (SUS) score of 71.77. Moreover, 95.8% of participants expressed willingness to use and recommend FreedHCP to colleagues.
Design and Evaluation of a Smartwatch-Based Physiological Signal-Driven Workplace Stress Management mHealth Tool for Bangladeshi Healthcare Professionals
Healthcare professionals (HCPs) in lower- and middle-income countries (LMICs) like Bangladesh often face high levels of workplace stress, which can negatively impact their mental well-being. However, this issue is frequently overlooked. Mobile health (mHealth) tools, integrated with wearable devices like smartwatches, have the potential to play a significant role in managing workplace stress among HCPs by leveraging physiological signals. This study explored the design and usability evaluation of a user-centered mHealth tool named ‘FreedHCP,’ aimed at managing stress among HCPs in Bangladesh. The research objectives include conducting design requirements and needfinding analysis, developing a high-fidelity prototype, and evaluating the usability of FreedHCP. A survey involving 71 HCPs revealed that high workload, patient and family pressure, and staffing shortages were major stressors, while social support, taking short breaks, and time management were effective coping strategies. Participants expressed a desire for features like guided meditation sessions, personalized stress management plans, realtime health tracking, and willingness to use a smartwatch-based mHealth app for real-time stress monitoring. Based on these insights, the FreedHCP offers five feature categories: ‘Assigned Tasks', ‘Notification Settings', ‘Get Help’, ‘Wellness Check’, and ‘Supervisor Dashboard’. The usability evaluation revealed that the ‘Smart Monitoring’ feature from the ‘Wellness Check’ category was the most liked, with 29.2% of votes. The app achieved a mean System Usability Scale (SUS) score of 71.77. Moreover, 95.8% of participants expressed willingness to use and recommend FreedHCP to colleagues.
Design and Evaluation of a Smartwatch-Based Physiological Signal-Driven Workplace Stress Management mHealth Tool for Bangladeshi Healthcare Professionals
Islam, Mahmudul (author) / Rashid, Sami (author) / Rafid, Lishan (author) / Badrul, Tasnuba (author) / Islam, Ashraful (author) / Chaudhry, Beenish Moalla (author)
2024-06-03
1486878 byte
Conference paper
Electronic Resource
English
Predictive Modeling of Workplace Stress among Construction Professionals
| British Library Online Contents | 2014