Showing 3 results for Risk Perception
Hamidreza Mehri, Faeze Sepahi Zoeram, Fatemeh Magidpour, Zainab Anbari Nogyni, Reza Jafari Nodoushan,
Volume 4, Issue 4 (10-2020)
Abstract
Background: Although early warning system processes follow precise models and scenarios, the human part is not fully understood. Most people before and during crises, act according to their interpretive plans, sometimes when the situation may not be dangerous, but can lead to dangerous reactions. The purpose of this study was to provide an indicator that can be used to assess people's understanding of early warning systems. Methods: This study is a descriptive-analytical study that was conducted in 2019 in a gas refinery in Iran. In the first step, the Perception Index questionnaire was translated into Persian with the help of English language experts. In the next step, the validity and reliability of the questionnaire were assessed. The questionnaires were distributed and completed among 168 refinery personnel. The collected data were analyzed using SPSS software version 24, and Pearson and Spearman correlation coefficients were determined by statistical tests. Results: The content validity index was 0.8, and the content validity ratio was 0.66. The general index of perception of the rapid warning system in this industry was 71.74 percent. Pearson correlation test did not show a significant correlation between age and perception index (r = 0.060), and also this test showed a positive correlation between perception index and work experience (r = 0.691). Spearman test was used to examine the relationship between two variables of education level and perception index. The results showed that there was a strong correlation between these two variables (rho = 0.746). Conclusion: The results showed that the perception index in this questionnaire has high validity and reliability and can be used in high-risk industries. The general perception index gained in this industry was in good condition, which means that people are more likely to be well aware at the time of an accident and will behave appropriately. However, it is suggested that the managers of the industry understudy hold training classes related to the early warning systems, hold emergency maneuvers, and familiarize the personnel with different scenarios.
Behnoush Jafari, Zeinab Alsadat Nezamodini, Miss Hanan Sari, Saeed Hesam,
Volume 5, Issue 4 (10-2021)
Abstract
Background: Job analysis, detecting hazards, and measuring their relationship with risk perception in workers are efficient ways of preventing accidents. Therefore, the present study is an attempt to identify and assess the risk of job accidents in steel industry in the south of Iran in 2020 using job safety analysis and the William Fine method. The results are also compared with the workers' perception of risk. Methods: The study population consisted of workers in the supplementary section of the studied steel industry(N=169). All the collected data were analyzed in SPSS using frequency and percentage for description and simple/multivariate logistic regression for analysis with sig. equal to 0.05. To determine the risks, JSA was used. Risk assessment was also performed using William Fine method, and then risk scores were obtained. Afterwards, Risk Perception Questionnaire was used to collect information about risk perception in the workers. Results:In total, 265 job activities along with 2684 risks were identified and evaluated in 7 units of sections in the steel industry. Conclusion: The results of risk assessment and risk perception in this study indicate that when safety risk is properly perceived by workers, the chance of observing safety codes and better detection of risks increases. Therefore, in the face of an unsafe condition at work, workers will be abed to make the right decision and control the risk and prevent work accidents by taking corrective measures and making safe and efficient decisions.
Maryam Feiz Arefi, Mohammad Hossein Delshad, Amin Babaei Pouya, Mahbubeh Abdollahi, Mostafa Kamali, Mohsen Poursadeghiyan,
Volume 6, Issue 2 (4-2022)
Abstract
Background: Coronavirus is a viral disease with a fast-spreading rate. It has become a pandemic. For preventing the covid-19 infection, respect for health protocols is necessary. The level of adherence to the protocols depends on one’s risk perception. To measure the level of risk perception, a valid and reliable measurement tool is needed. The present study is an attempt to evaluate the psychometric properties of the coronavirus infection risk perception (CIRP) questionnaire, with a working life approach. Methods: The article concentrated on the generation, translation, cross-cultural adaptation, and psychometric properties of the CIRP questionnaire. In this cross-sectional study, authors generated an item pool, extracted from the literature relating to risk perception in COVID-19 disease. 228 people participated in the study. The initial scale, consisting of 41 Items, was produced from literature. A scale, containing 26 Items, appeared as a result of Exploratory Factor Analysis (EFA). Cronbach’s alpha was used to measure the internal consistency. Data analysis was conducted at a 95% confidence level. Data were analyzed using the SPSS statistical version (V. 21). Results: Exploratory factor analysis of the scale, explained 45.3% of the variance observed. In addition to the analyses indicated, satisfactory results for internal consistency (Cronbach's alpha ranging from 0.72 to 0.87) and intra-class correlation (ranging from 0.79 to 0.94) were obtained. Conclusion: This study generated the Persian-language version of the CIRP, for Iranian individuals through psychometric testing, to measure risk perception. This questionnaire is reliable for measuring people's CIRP.
