Showing 2 results for Khalili
Samaneh Salari, Maryam Farokhzad, Arash Khalili, Iraj Mohammadfam,
Volume 9, Issue 3 (9-2019)
Abstract
Introduction: Nowadays, accidents are regarded as a main risk factor for both human and economic of countries. The triggerring cause of most accident is human error. In the healthcare setting, human errors can lead to injuries and even death of patients and damage the reputation of healthcare staff. Human errors in healthcares can occur during various activities including diagnosis of a disease, drug administration, and also during the use of various appliances. Therefore, it is of critical importance to identify these errors and assess their risks. Accordingly, the main aim of the present study was to identify and assess human errors possible to occur during the use of the ventilator device in neonatal units of educational hospitals of Hamedan University of Medical Sciences.
Material and Methods: This qualitative study was conducted using PUEA technique in 2017. The required data associated with the function and operation of the ventilator were gathered by investingating documents, observing the operater while using it, and interviewing with the operator. Hierarchical task analysis (HTA) was used for determining the main tasks and subtasks performed for operating the device. The identified errors were categorized into seven groups, namely planning, functional, checking, retrieval, communication, and selection errors. The PUEA method was utilized in exploring the causes of errors, the possibility of error recovery, and associated risks.
Results: Functional error was the most prevalent one (72.7 %), whereas communication error was the least prevalent one (3.03 %). Omission and commission were the most frequent functional error. Moreover, 42.2 percent of errors had roots in lapse and slip and 12.1 percent were of knowledge-based type. Moreover, it was impossible for 79.7 percent of errors to be recovered. About 54.53 percent of errors had severe or catastrophic consequences.
Conclusion: As the risk of accidents occurring in healthcare organizations is unacceptable, it is a necessity to identify these errors and evaluate their risks. As it is costly to replace the purchased devices with less error prone devices, human error analysis should be performed in the design phase and before purchasing the devices. Moreover, errors with an unacceptable risk should be controlled based on their probable causes.
Farzad Khalili, Afshin Marzban, Mahmoud Ghaseminejad, Abdollah Hayati,
Volume 14, Issue 4 (12-2024)
Abstract
Introduction: Sugarcane is an important and strategic product in many countries, including Iran. While the introduction of mechanization, e.g., sugarcane harvesting machines, has significantly enhanced the production process, operators of these machines still face many ergonomic and safety challenges.
Material and Methods: The present study investigated the ergonomic status of sugarcane harvester operators by examining some of their physiological and physical evaluations. Physiological evaluations included heart rate, oral temperature, and energy consumption of the operators, perceptual strain index, and physiological strain index. Physical evaluation included estimating the amount of pain and discomfort in body segments. The correlation between pain and discomfort of body parts with some demographic and physiological indices of users was investigated using IBM SPSS 24 software.
Results: Sugarcane harvester operators’ heart rate, energy consumption, and physiological strain index were 79.05 beats/min, 18.81 kJ/min, and 0.83, respectively. The average of three indices of thermal sensation, perceived exertion of activity, and perceptual strain index were estimated as 4.40, 9.21, and 8.86, respectively.
Conclusion: Pain and discomfort in the neck and back segments, like many agricultural activities, had the highest rate among the body parts. Also, shorter and thinner operators reported higher pain and discomfort in some segments of the body.
