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Determining compliance with the COVID-19 daily symptom monitoring tool used to identify suspected COVID-19 workers of the military health support formation employees of the South African national defence force


Stellan Abraham John
Leana Esterhuizen
Shalin Bidassey-Manilal

Abstract

Introduction: the COVID-19 pandemic had prompted governments in many countries to enact laws and policies to combat the spread of  COVID19 at work. The DEL required every worker to be screened when they arrived at work. Screening methods included self-reporting  symptoms using a symptom monitoring tool. This study aimed to determine compliance with the symptom monitoring tool by assessing  the knowledge, attitude, and practice of the MHSF employees.


Methods: a cross-sectional questionnaire was administered to the  employees. Information related to demographic, COVID-19 exposure, knowledge of COVID-19 and the symptom monitoring tool, attitude  towards the symptom monitoring tool and practices towards COVID-19 and the symptom monitoring tool was collected.


Results: a total  of 90 participants participated in the study. The majority (N=45; 50%) of respondents were aged between 30 and 39 years old, with more  female (N=50) than male (N=40) participants. The majority (N=51; 56.7%) only had grade 12 as the highest level of education. There were  25% (N=10) of males and 20% (N=10) of females who contracted COVID-19. The relationship between the COVID-19 positive cases and the  symptom monitoring tool identifying symptoms had a strong negative correlation (- 0.932). Respondent's knowledge of COVID-19  and the symptom monitoring tool was moderate (72.4%), with the attitude to the symptom monitoring tool being moderate (63.3%) as  well. However, the practices of the COVID-19 guidelines and the symptom monitoring tool were good (93.3%).


Conclusion: the  employees of the MHSF complied with the completion of the daily symptom monitoring tool. There was decent knowledge of COVID-19  and the symptom monitoring tool, with a moderate attitude and good practices towards COVID-19 and completing the tool. The tool was  able to identify suspected COVID-19 cases, which possibly reduced the spread of the virus in the workplace.  


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eISSN: 2707-2800