• List of Articles Human Error

      • Open Access Article

        1 - Behavioral modeling of human error reduction in the country's air transport industry
        Ebrahim Moradi Mohammad  Atai Mehdi Kheirandish
        The present study was conducted with the aim of behavioral modeling to reduce human error in the country's air transportation industry. This study, in terms of the purpose of an applied-developmental research, from the point of view of the method and time frame of data More
        The present study was conducted with the aim of behavioral modeling to reduce human error in the country's air transportation industry. This study, in terms of the purpose of an applied-developmental research, from the point of view of the method and time frame of data collection, is a cross-sectional survey research that was conducted with a mixed approach. The community of participants of the qualitative part includes the managers of the country's air transportation industry, 11 of whom were selected in a targeted manner until reaching theoretical saturation. The statistical population is a small part of the experts and activists of the country's air transportation industry, and the sample size was estimated by Cochran's formula of 366. Quantitative sampling was done by cluster-random method. The data collection tool was a semi-structured interview and researcher-made questionnaire, which was validated by construct validity, convergent validity and divergent validity methods. Using Cronbach's alpha and composite reliability, the reliability of the questionnaire was also checked. The value of convergent validity for all constructs was above 0.5 and Cronbach's alpha and combined reliability were estimated to be above 0.7 for all constructs, so validity and reliability were evaluated as favorable.-.. Manuscript profile
      • Open Access Article

        2 - Designing a behavioral model for reducing human error in sensitive jobs in the Iranian aviation industry
        Ebrahim Moradi mohammad Attaei mehdi kheirandish
        Background: Reducing human error as one of the most important causes of air accidents in the world, is always one of the key goals and important strategies of the aviation industry.Objective: To provide a behavioral model for reducing human error in sensitive jobs of Ir More
        Background: Reducing human error as one of the most important causes of air accidents in the world, is always one of the key goals and important strategies of the aviation industry.Objective: To provide a behavioral model for reducing human error in sensitive jobs of Iranian aviation organizations.Method: In terms of applied-developmental purpose and cross-sectional survey approach has been done. The statistical population included managers of sensitive jobs in the country's aviation industry and used the purposeful method for sampling and continued until theoretical saturation was achieved. Content analysis method and MaxQDA software were used to identify the underlying categories of human error reduction behavioral model and structural-interpretive method and MicMac software were used to present the model.Findings: Individual, group, organizational and environmental factors have affected the human resource system in terms of recruitment, retention, empowerment, skills development and retirement.Conclusion: Based on the influence-dependence power diagram; Individual, group, organizational and environmental factors had high influence and low influence and were in the area of independent variables. Was considered a dependent variable. Manuscript profile
      • Open Access Article

        3 - Human Error Protection Layers Analysis for Nursing in CCU Department with Proactive Approach
        Mohsen Shanoofi Seyed Abolfazl Zakerian Hanieh Nikoomaram
        Introduction: Numerous studies have shown that human error is the main factor in the occurrence of occupational accidents. Diversity of a job’s different aspects, nature of the job and its complexity, can negatively affect a worker’s performance and behavior More
        Introduction: Numerous studies have shown that human error is the main factor in the occurrence of occupational accidents. Diversity of a job’s different aspects, nature of the job and its complexity, can negatively affect a worker’s performance and behavior, thus leading to unsafe acts in a working environment. This also causes workers to intentionally or unintentionally make errors, which itself can be a reason of occupational accidents. Methods: This study is an analytical- descriptive research, where Barrier Analysis (BA) technique has been applied to identify and analyze the nurses’ human errors in the CCU ward of NIOC Tehran hospital. Results: The results of the BA checklists presented 57 barriers classified in 8 groups: administrative barriers (14%), procedural actions (18%), human actins (10%), supervisory and co-working barriers (20%), training (10%), natural barriers (0%), physical barriers (10%) and environmental design (18%). Also, 38 barrier breakers and 32 corrective actions were identified. Conclusion: It can be concluded that BA technique is an appropriate technique to be used in the healthcare and therapy industry as it is helpful in the identification of human error protection layers. Manuscript profile
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        4 - Enhancement of Tripod-Beta Model to Analyze Accidents based on Human Factors Engineering (Case Study: Esfahan’s Mobarakeh Steel Company)
        Hanieh Nikoomaram Hossein Modaresifar Javad Kiani Mohsen Shanoofi
        Background and Objective: Industrial and occupational accidents mostly have adverse consequences. Analyzing the accidents to identify how and why they happened has been one of the key subjects in safety engineering. Tripod-Beta model is one of the most widely-used model More
        Background and Objective: Industrial and occupational accidents mostly have adverse consequences. Analyzing the accidents to identify how and why they happened has been one of the key subjects in safety engineering. Tripod-Beta model is one of the most widely-used models for accidents investigation, which step by step identifies the causes of accidents occurrence. However, the role of human factors, as one of the most important causes of accidents, has not noticeably been addressed in this model. Therefore, the aim of the present study was to enhance Tripod-Beta model based on human factors engineering. Material and Methodology: In this research, Tripod-Beta model has been enhanced applying TRACEr in a way that the improved model is able to identify and analyze the human errors involved in accidents occurrence in terms of four elements: external error modes, internal error modes, psychological error mechanisms and performance shaping factors. The new model was then applied to investigate some of the accidents happened in Esfahan’s Mobarakeh Steel Company. Findings: In the enhanced model, two tables of “external-based human error” including 5 preconditions and 11 underlying causes, and “internal-based human error” including 7 preconditions and 11 underlying causes have been added to the primary model. Also, one group named “human factors” has been incorporated into the basic risk factors of the old model. Discussion and Conclusion: Considering the applicability of the new model to investigate the selected accidents, the meaningfulness of the results of the accidents analyses, and also the capability of the model in identifying the accidents causes related to human factors, this can be inferred that the enhanced model has the appropriate validity. Manuscript profile
      • Open Access Article

        5 - Identification and Analysis of Human Errors in CCU Unit of Tehran's Naft Hospital
        Mohsen Shanoofi Seyed Abolfazl Zakerian Hanieh Nikoomaram Maryam Movafag
        Background and Objective: Human error has been identified as a main cause of most of the major accidents in the world. In order to reduce human errors in the risk assessment and management, it is necessary to assess the risks resulting from human errors which can be gua More
        Background and Objective: Human error has been identified as a main cause of most of the major accidents in the world. In order to reduce human errors in the risk assessment and management, it is necessary to assess the risks resulting from human errors which can be guaranteed by conducting human reliability analysis. In the healthcare industry, each year many patients are losing their lives because of clinical errors. Clinical errors, as a global problem, have recently been turned into a challenging issue in various healthcare sector cares. Method: Thissurvey is an analytical-descriptive study, where SHERPA method was used for analyzing human errors in CCU unit of Tehran's Naft hospital. Findings: In total, 450 errors were identified in CCU unit, from which 242 errors (45%) were related to nursing actions, 43 errors (9%) belonged to general practitioners, and 165 errors (37%) were for medical specialists. Also, according to the results of the risk analysis, 12.45% of errors were unacceptable, 30.22% had undesirable risk level, 43.11% were identified with acceptable risk level requiring revision, and 14.22% had acceptable risk level without a need for revision. Discussion and Conclusion: In the end, it can be concluded that SHERPA method is an appropriate method to be used in the healthcare industry as it is very effective in identifying and analyzing human errors.   Manuscript profile
      • Open Access Article

        6 - Improve of Human Reliability by Identifying and Evaluating Potential and Actual Roots of Maintenance Team Errors in the Power Transmission Grids
        Mehdi Tavakoli Mehdi Nafar
        Human life and the economy of a country are becoming more and more dependent on electricity. However, events that occur due to various factors in the power grids, affect the quality of electrical energy delivered to subscribers. The human error of maintenance teams is o More
        Human life and the economy of a country are becoming more and more dependent on electricity. However, events that occur due to various factors in the power grids, affect the quality of electrical energy delivered to subscribers. The human error of maintenance teams is one of the most important causes of automatic outputs of electrical equipment. Human error, in addition to the economic consequences of not transiting electrical energy due to equipment outages, may also cause health damage to personnel. The purpose of this study is to propose a method for analyzing the human reliability of maintenance teams in power transmission grids, which has been implemented as a case study on power transmission grids teams in Fars. The first step is to identify the roots of human error. So far, no comprehensive studies have been conducted on the root causes of human error in power transmission grids. Therefore, in this article, the actual and potential roots of various aspects such as organization, individual moods, supervision, etc. are identified and predicted in the framework of the method of human factors analysis and classification system. Then, a method is proposed to estimate the probability of the root event to use its results to prioritize the necessary control and corrective measures to reduce human error. Manuscript profile