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Psychiatry Investig > Epub ahead of print
[Epub ahead of print]
DOI: https://doi.org/10.30773/pi.2018.08.10    Published online October 11, 2018.
Smart Stress Care: Usability, Feasibility and Preliminary Efficacy of Fully Automated Stress Management Application for Employees
Ji Hyun Baek1, Jeong Hyun Kim2, Sohee Oh3, Ju Young Kim4, Soyoung Baik2
1Department of Psychiatry, Samsung Medical Center, Seoul, Republic of Korea
2Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
3Department of Biostatistics, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea
4Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
Correspondence: Jeong Hyun Kim ,Tel: +82-31-787-2025, Fax: +82-31-787-4050, Email: retrial3@hanmail.net
Received: March 23, 2018   Revised: July 3, 2018   Accepted: August 10, 2018   Published online: October 11, 2018
Abstract

Objective
We developed a fully automated smartphone-based stress management application and explored its usability, potential feasibility, and preliminary efficacy for stress management in Korean employees.
Methods
Healthy employees working in large public enterprises were enrolled. Participants used our automated stress management application for four weeks. With the application, they monitored their stress level and life style factors. Personalized stress management techniques, including psychoeducation and cognitive behavioral technique, were also provided based on their stress level and lifestyle pattern. In 2014, additional relaxation techniques were incorporated. Participants’ mental health status and lifestyle pattern were self-assessed at baseline and at 4 weeks after using the application.
Results
A total of 68 subjects were recruited. The application generally received high satisfaction rating. After the intervention, perceived stress level was significantly decreased, both in 2013 and 2014 (BEPSI-K score pre. vs. post. 14.27 vs. 11.00, F=12.49, p=0.001 in 2013; 12.05 vs. 10.00, F=17.18, p<0.001). In 2014, depression symptom severity was also significantly decreased (CES-D score pre- vs. Post-, 17.66 vs. 11.95, F=9.76, p=0.004). The effects were more significant in females and in those <35 years.
Conclusion
Our fully automated stress management application is acceptable and usable, showing preliminary efficacy for reducing employees’ stress levels.
Key words   Smartphone-based, Application, Stress management intervention, Employees
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