Document Type : Original Article

Authors

• Zahra Amini ¹
• Ehsanollah Habibi ¹
• Hadi Asady ¹
• Javad Gholamian ¹
• Elahe Dabaghi ²

¹ Department of Occupational Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran

² Department of Occupational Health Engineering, School of Health, Isfahan University of Medical Sciences; Department of Occupational Health Engineering, Student Research Committee, School of Health, Isfahan University of Medical Science, Isfahan, Iran

Abstract

Aim: A high error rate among laboratory staff leads to accidents. This study aimed to investigate the effect of gender, work experience, age, and job stress on the number of errors and work speed in laboratory employees. Materials and Methods: This cross-sectional study was performed on 32 laboratory staff via census method. The instruments used in this study were the General Health Questionnaire Mental Health Questionnaire, demographic questionnaire capturing age, gender, work experience, and level of education, and Health and Safety Executive Job Stress Questionnaire in England. A precision targeting vibrometer was used to measure the speed and number of errors. Independent t-test and Mann–Whitney U-test as well as Pearson's and Spearman's correlation coefficients were used to evaluate the relationship between the parameters using SPSS software version 26. Results: The mean and standard deviation of age, work experience, and job stress were 43.56 ± 7.80 years, 205.68 ± 107.43 months, and 132.59 ± 12.55, respectively. Furthermore, the mean and standard deviation of the number of errors and work speed were 4.90 ± 4.09 and 14.27 ± 5.84, respectively. A significant positive correlation was found between age and the number of errors. Conclusion: The results indicated that gender, work experience, and job stress do not affect the number of errors and work speed in laboratory staff, but age affects the number of errors in employees, and the number of errors increases with age. Explaining the factors affecting the accuracy and speed of staff in the laboratory can lead to use of appropriate manpower and ultimately enhance productivity and reduce accidents in laboratories.

Keywords

• Age
• errors’ number
• laboratory
• work speed