Tibbi-i-kar

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Introduction :The adequacy of facilities and the individual securities in their different age groups is importance to ensure greater functionality to them, allowing full development of daily activities. The present study aimed to measure body dimensions of a representative sample of children aged 2 to 6 years old Kindergarten and preschool children in the city of Isfahan compare with physical dimensions Belgium.Anthropometric variables more appropriate to design products for both the leisure activities, and for the school sector.
Methods: In this study, we measured 24 static anthropometric dimensions of 700 people sample including 350 male and 350 female in kindergarten and preschool from Isfahan aged 2–6 years usig rated vertical planes with 2*1 meter dimension, caliper with a movable jaw and tape measure .These data were analyzed by SPSS software, version 20 and descriptive statistics such as mean, standard deviation, max and min level ,median, mode and percentiles value was calculated for each dimension. Then the percentiles (5 and 95) were  obtained  Compared to the Belgian standard and the percentage of difference between them was determined.
 
Results: Descriptive static anthropometric dimensions and percentiles value were presented as an anthropometric database in 5 age group also showed genders and ages had effects in a set of 24 anthropometric dimensions.(p<0.05)
Conclusion: Age and gender are all affecting anthropometric variables. According to the results of this study, it is necessary to use the anterpometric database prepared by the same age group and country in the design of the equipment.
Methods: In this study, we measured 24 static anthropometric dimensions of 700 people sample including 350 male and 350 female in kindergarten and preschool from Isfahan aged 2–6 years usig rated vertical planes with 2*1 meter dimension, caliper with a movable jaw and tape measure .These data were analyzed by SPSS software, version 20 and descriptive statistics such as mean, standard deviation, max and min level ,median, mode and percentiles value was calculated for each dimension. Then the percentiles (5 and 95) were  obtained  Compared to the Belgian standard and the percentage of difference between them was determined.
Results: Descriptive static anthropometric dimensions and percentiles value were presented as an anthropometric database in 5 age group also showed genders and ages had effects in a set of 24 anthropometric dimensions.(p<0.05)
Conclusion: Age and gender are all affecting anthropometric variables. According to the results of this study, it is necessary to use the anterpometric database prepared by the same age group and country in the design of the equipment.
 

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Introduction: Musculoskeletal disorders are prevalent in work environments. Performing programs to identify and control the risk factors for musculoskeletal disorders and to carry out corrective actions to improve working conditions is important because of the impact on the health of the workforce.Methods: In this study, the presence of various shifts in the operating rooms and the training and justification of the employees of this department regarding its study and its objectives, the steps of the work of the operating room staff in various occupations were observed and existing documents and guidelines were reviewed. The main steps, including hierarchical analyzes of businesses, identifying errors in terms of each task and sub task, completing other parts of the work sheet, and determining the probability of human error and providing the prioritized control strategies in the next steps, was carried out.
Results: Based on the results of Nordic questionnaire, age, work experience and higher weight were associated with musculoskeletal pain in most of the organs. Also taller was associated with back and waist pain and older age with pain and discomfort in the palms, knees and ankles (p <0.05). Based on the results of posture assessment, RULA 2 has a risk level of 4, 2 tasks Risk level 3 and 2 were risk level 2, which after the implementation of the interventions, a number of risk levels were eliminated in general and a number decreased.
Conclusion: Despite the high risk of musculoskeletal disorders in this industry, ergonomic interventions reduced risk to the desired level.

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Considering the importance of medical care and especially occupations in the operating room for the improvement of illnesses as well as the preservation of life, the consequences of failure and failure to perform the duties of the staff of these centers will be irreparable, so the findings of this study can be a useful guide to reduce Errors in operating room staff.
Methods: This study was performed by HEART method to investigate the human error in the operating room staff. To perform this study, presenting various shifts in the operating rooms, training and justifying the employees of this department regarding the study and its objectives, the staffing process The operating room was observed in various occupations and the existing documents and guidelines were reviewed. Also, the main steps, including hierarchical analysis of occupations, identifying errors in terms of each task and sub task, completing other parts of the work sheet and determining the probability of human error and providing Prioritized control strategies were carried out in the next steps.
Results: According to the results, Fatigue factor with frequency of 164 (11.47%) and negligence with frequency of 160 (11.2%) were the most frequent errors in the occupations of operation rooms of this hospital. The inadequate work environment with frequency 1 (/0007%) The least factor is the error.
Conclusion: equipping the operating rooms with advanced equipment, employing and recruiting skilled and experienced personnel, adjusting the work schedule and resting the staff, providing training tailored to the needs of the staff, and improving the supervisory and management systems. The most important ways to improve existing conditions and reduce Human errors