The effect of occupational burnout on cognitive failure and general health in industrial workers (case study: Iran Tire Factory).

BACKGROUND: Human resources are the most important organizational resources and play the most important role in the production and productivity cycle. Considering the importance of people's health and the study of their burnout as a possible cause of occupational cognitive failures, this study aimed to investigate the relationship between burnout, cognitive failure, and general health. PARTICIPANTS AND PROCEDURE: A cross-sectional-analytical study was conducted in Iran Tire Factory. The statistical population of this study was 302 personnel who were randomly selected. Data were collected by four valid questionnaires (demographic information, Maslach burnout, cognitive failure, and general health questionnaire). Then data were analyzed using SPSS software. RESULTS: The results of the analysis revealed a significant and direct relationship between burnout and cognitive failure (p < .001), and a significant inverse relationship was found between cognitive failure and physical health (p = .022). The other results showed that emotional exhaustion and depersonalization dimensions are significantly associated with cognitive failure (p < .001, p = .016). CONCLUSIONS: According to the results of this study, burnout causes cognitive failures among factory personnel and on the other hand, cognitive failures affect the physical health of individuals and lead to deterioration of physical health, which in turn can reduce a person's performance and reduce work efficiency.

An integrated DEMATEL-ANP approach for identification and prioritization of factors affecting fall from height accidents in the construction industry.

Objectives. The decision-making trial and evaluation laboratory (DEMATEL) technique integrated with the analytic network process (ANP) is used for determination and prioritization of cause-effect relationships among factors affecting construction falls. Methods. Considering the 135 fall accidents collected between 2013 and 2018 from 15 residential construction projects, 70 factors and sub-factors affecting the occurrence of construction falls were determined based on safety experts' opinions. Questionnaires based on the former and the latter were then distributed among 10 occupational health and safety specialists to determine the effectiveness of the factors. The interactions and important degree of each factor are specified, using the DEMATEL-ANP approach. Results. Findings showed that organizational factors and their sub-factors have the greatest impact on construction falls and were considered as causal variables (D - R > 0), while individual and environmental factors were considered as the effect variables (D - R < 0). The results of prioritization using the ANP method showed that the work platform altitude, psychological/occupational stresses and interactions were ranked as the first through third priorities affecting the falls, respectively. Conclusions. It is necessary to implement a systematic strategy to reduce the unsafe conditions in construction projects and to pay more attention to organizational factors.

Development and application of a fuzzy occupational health risk assessment model in the healthcare industry.

BACKGROUND: Hazards of the workplace and their impacts on the healthcare industry affect the quality of patient care and safety and impose high costs on the healthcare industry. Occupational health in this industry requires proper identification of hazards and managing the related risks. In this study, the researchers attempted to develop an easy-to-use and high applicability occupational health risk assessment model with a fuzzy approach to evaluate risks more precisely. METHODS: In this study, a fuzzy inference system (FIS) was designed and applied to develop a risk assessment model. CONCLUSIONS: This study showed that the developed model could be applied as a practical model for evaluating occupational health risks. The weight of each risk criterion was used to calculate the risk level by adopting a fuzzy approach. The risk assessment results construed using the fuzzy set theory provided a broad picture of risks and could work adequately in the presence of inaccurate and insufficient data to calculate the risk. This model calculates risk levels and provides us with the dispersion and distribution of the calculated value of the risk number.

Occupational health risk assessment at healthcare institutions: Developing a semi-quantitative risk method.

BACKGROUND: Environmental hazards in healthcare institutions affect the quality of patient care as well as personnel and patient safety. OBJECTIVE: The aim of this study was to develop and apply a semi-quantitative risk assessment method to calculate occupational health risk levels with regard to the sensitivities of healthcare institutions. METHODS: The present research was conducted in three phases. In phases 1 and 2, the model was developed using a review of different risk assessment methods, extracting expert opinions (N = 10) through semi-structured interviews, and using the fuzzy analytical hierarchy process (FAHP). In phase 3, in order to validate the proposed method, one of the five public hospitals was randomly selected and a case study comprising 6 sections was performed. RESULTS: A total of 43 health risks were identified and evaluated using the present method, 41.86% of which were at very high levels, 16.27% at high levels, 30.23% at substantial ones, 9.3% at medium and 2.32% at low levels. The highest health risks were found in paraclinical and operating room wards. CONCLUSION: To overcome the shortcomings of the proposed health risk assessment methods, a semi-quantitative method was used in the present study to more accurately calculate the risk levels in the healthcare institutions and also calculate the risk level of each hospital unit. The proposed semi-quantitative method can be used as a tool for assessing occupational health risks as a key element of risk management. In addition, by focusing on an appropriate framework for occupational health risk assessment, specialists in the organization will be able to take significant and effective steps to implement an efficient risk management system.

Identification, Selection and Prioritization of Key Performance Indicators for the Improvement of Occupational Health (Case Study: An Automotive Company).

Regarding the important role of occupational health in the continuous improvement of organizations, the aim of this study was to identify, select and prioritize key indicators for improvement of occupational health in an automotive company. This cross-sectional descriptive study was carried out in three stages. First, a semi-structured interview as well as an inspection and a review of the company's documentation and studies were carried out, and a set of key indicators were identified and selected. Then, the validity of the indicators were determined by experts (N = 11). Following that, the indicators were prioritized based on SMART criteria. Following the study framework, we collected a set of indicators that included 45 health indicators and 17 educational ones. The results of examining their content validity showed that among the 45 primary health indicators and 17 educational ones, 12 and 9 indicators had acceptable validity, respectively, and a total of 21 indicators were suggested for the purpose of the study by the expert team. The results of prioritizing showed that the leading indicator such as the percentage of corrective and preventive health actions done with the weight of 0.146 was the first priority. A set of key indicators was proposed according to the results, based on the objective of the study, which can help managers and industrial hygiene experts to assess performance in the automotive industry.

Relationship between Noise Annoyance and High Blood Pressure in Workers Exposed to Chronic Noise Among the Workers of an Automotive Industry.

BACKGROUND: Chronic exposure to noise in workplaces is one of the most important physical agents that affects workers' health and causes social and individual problems. The aim of this study was to investigate the relationship between noise annoyance and blood pressure (BP) of workers of an automotive industry. METHODS: In this cross-sectional study, 250 workers were randomly selected. The subjects were classified in two groups based on the exposure to sound pressure levels lower and higher than 85 dB (106 and 144 workers, respectively). In this study, BP was measured using an ALPK2 mercury pressure gauge. To measure annoyance levels, an annoyance questionnaire containing a numerical question numbered 0-11 was used. RESULTS: The mean age of the subjects was 36.19 (±3.75) years. The results showed that the systolic (SBP) and diastolic blood pressure (DBP) of the subjects exposed to the sound pressure levels higher than 85 dB were significantly higher than those exposed to a sound pressure level lower than 85 dB (P < 0.01). Also, the results of the multivariate regression showed a significant relationship between the annoyance and DBP and SBP caused by chronic exposure to noise and sound pressure levels (P < 0.01). CONCLUSION: The results of this study showed that the annoyance caused by exposure to chronic noise in the workplace causes stress in the workers and, in the long term, could increase the risk of high SBP and DBP.

Relationship Between Noise Annoyance and Cognitive Performance in Automotive Workers Exposed to Chronic Noise.

Among the most important complaints of people exposed to noise are the feelings of resentment and annoyance, and the changes in mental conditions, which are among the main psychological consequences affecting the concentration and accuracy of workers. This study was designed to investigate the relationship between annoyance and cognitive performance of workers exposed to chronic noise. This is a descriptive-analytical study conducted on workers in an automotive company. Three hundred workers exposed to noise were entered into the study in two groups: administrative (150 people) and industrial (150 people). The Tower of London and the Stroop computerized psychological tests were used to determine the cognitive status of the workers, and a questionnaire with numbered questions (numbered 1 to 11) was used in order to determine their level of annoyance. There was a significant correlation between the workers' cognitive performance and annoyance levels (P value <0.001). Linear regression results showed that cognitive performance had a significant relationship with the received sound intensity, while the workers' annoyance had a significant relationship with cognitive performance only in the number of wrong answers, the number of unanswered questions, and the number of correct answers in the Stroop test (P value <0.001). The researchers concluded that exposure to chronic noise in work environments could bring about occupational annoyance, and consequently, cognitive disorders, which could increase the risk of errors. More studies are needed to further explore this relationship.