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Showing 3 results for Sherpa

Iraj Mohammadfam, Chiman Saeidi,
Volume 2, Issue 4 (3-2015)
Abstract

 

Introduction: Human errors result in numerous accidents in healthcare professions every year and lead to the death of many patients. Considering the high rate of eye cataract surgeries performed in Iran and the sensitive nature of the surgery, the present study was conducted to identify and assess possible human errors in the performance of these surgeries.

Materials and Methods: The present qualitative, cross-sectional study was conducted to identify and assess human errors in the process of eye cataract surgery using the SHERPA technique. At first, using the hierarchical task analysis method, the surgery process was divided into tasks and sub-tasks. In the next step, through the same technique, possible human errors were detected and risk-assessed. Appropriate prevention solutions were then proposed for reducing the risk of errors.

Results: A total of 53 possible errors were detected for the 41 tasks in the surgery process. The highest error percentages pertained to performance and the lowest pertained to retrieval. Moreover, the risk of 22.64% of the errors detected was deemed unacceptable.

Conclusions: Given the severity of the outcomes of human errors in cataract surgery, reducing the rate of the detected errors is crucial. According to the type and frequency of the detected errors, the findings of the present study emphasize the importance of designing and implementing behavior-based safety training programs for ophthalmologists.


Tahmineh Moradi Tamadon, Fakhradin Ghasemi, Iraj Mohammadfam, Omid Kalatpour,
Volume 8, Issue 4 (1-2021)
Abstract

Background and Objectives: Firefighting is a difficult and dangerous job. This job requires decision-making and speed in action in critical situations. Such conditions increase the probability of human error in the firefighting activities. Setting up fire operators as the first step of emergency response is associated with high criticality. The purpose of this study is identification and assessment of the risk of human error while setting up and operating fire operators.
Methods: This descriptive cross-sectional study was performed in 2019. Tasks related to the operation of industrial firefighting operators were studied and analyzed by Hierarchical Task Analysis. Then, human errors in the operation of fire operators were identified and analyzed using the systematic human error reduction and prediction approach (SHERPA). Finally, appropriate prevention solutions were proposed to reduce the risk of errors.
Results: A total of 480 errors were detected for 130 tasks as 49.58% of them were action errors, 39.17% check type, 10.42% communication and 0.83% were selective errors and no retried error was observed. According to the results of risk assessment, 8.33% of the errors were unacceptable, 24.17% were undesirable, and 48.33% were acceptable risks but needed to be revised and 19.17% were acceptable without the need for revision.
Conclusion: The process of operating fire operators can be associated with human errors and prevent successful firefighting operations. Therefore, these errors should be identified and controlled using appropriate methods.

Fatemeh Karami, Samira Ghiyasi, Ahmad Soltanzadeh,
Volume 8, Issue 4 (1-2021)
Abstract

Background and Objectives: ِِDespite complex technologies in many work environments, human errors are of great importance as they might lead to severe and catastrophic accidents. Therefore, in order to prevent and limit the consequences of human error, it seems necessary to identify and find the causes of them. The aim of this study was to identify and evaluate the human errors of locomotive maneuvers in the railway repair and development project, 2019.
Methods: In this cross-sectional study, the identification and evaluation of human errors in locomotive maneuvers in the MAPNA railway repair and development project using SHERPA technique was done. First, using the hierarchical task analysis method, the activities of the maneuvers are divided into their tasks and sub-tasks; in the next step, the types of human errors in each of the tasks were identified and then human errors were evaluated according to SHERPA instruction.
Results: A total of 206 errors were identified in the present study. Errors included 48.5% action error, 39.8% checking error, 10.2% information communication error and 1.5% selection error. The lowest and highest errors related to locomotive displacement error were related to hot single diesel (14.0%) and locomotive displacement error on service pit (29.6%). Of the identified errors, 23.8%  had an unacceptable risk level, 51.1% had an ALARP risk level and 25.2% had an acceptable risk level.
Conclusion: The findings of the study indicated that the most unacceptable risks and ALARP were related to checking and action error, respectively. So, it is suggested that the design and implementation of control measures related to these two types of errors should be prioritized.
 


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