Abstract:
The objective of this research is to make an assessment of general stress and work stress, to study the effectiveness of the use of Line application chat bot, and to determine the level of satisfaction after using the application in hospital staff of a private hospital in Rayong province. The collection of a sample group of 41 staff members during the period of June August 2022 was conducted. four tools were used, including personal data relating to work performance, stress assessment form of Department of Mental Health (SPST - 20), work stress (from the nature of their work) and satisfaction assessment form. The analysis of personal data relating to work performance was conducted through the descriptive analytical statistics and McNemar test.
The findings show that prior to the use of Line application chat bot, the overall general stress of the hospital staff was high, at 53.6%. Considering by factors, the mediocre value was found. The major physical effects include tense or pain muscles, backaches and headaches from stress, respectively. After using application, the general stress of the hospital staff was statistically decreased to 46.3% (p-value < .05). By analyzing the nature of work as per the Demand-Control Model of Karasek, it showed that the skill discretion was at the average value of 3.3, while control was at 2.9, work demand at 2.8, and social support at 3.2. The passive work was 43.9%, high strain 24.3%, low strain 19.5% and active work at 12.2%, respectively. Since most hospital staff were in the passive jobs, work tasks. The organization may use the research finding for its physical, mental and social health care program, including leveraging the opportunity to participate in making decision and proposing recommendations, developing the work system, providing extensive education on active passive jobs, allocating the work force and working time for making work life balance, in order to reduce their stress from work. Further research may be conducted among other occupation groups and compare faceto-face consultation at medical centers and online application.