• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.710-713
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• 2007

This paper presents the findings obtained from several series of analysis on the fatal accident, which are maintained by Korean Production Household Mascot Safety Industrial Complex, relative to fall. The fall accidents occurred in 5 years, from 2002 to 2006, were analyzed. The statistic relative to the fatal accidents analyzed according to different classifications such as accident rate, project amount, project type, cause, type of occupation. years of experience, and time in a day. This research would contribute to ensure the effectiveness of safety policy so as to enhance worker safety. In addition, cluster analysis was applied to find the major contributors on the fall accidents. Cross referencing between occupation and type of work, and occupation and cause were established so that the occurrence statistics of fall accidents were investigated.

• The Journal of Korean Academic Society of Nursing Education
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• v.23 no.4
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• pp.398-408
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• 2017

Purpose: This study aims to identify the effect of pediatric fall prevention education with leaflets and picture books on the fall-related knowledge and preventive behaviors in caregivers of inpatient children. Methods: This study is a non-equivalent control group non-synchronized design. It divided 62 caregivers of inpatient children aged 5 and under into an experimental group and a control group in P general hospital located in B City. Results: Fall related knowledge score in the experimental group was increased by 2 points after the intervention and the score in the comparison group was increased by 0.1 points. The difference after the intervention in fall related knowledge scores between the two groups was statistically significant (t=7.67, p<.001). The fall related prevention behavior score of the experimental group increased by 9.3 points after the intervention, and the score of the comparison group increased by 2.5 points. The difference in the scores of fall related prevention behaviors between the two groups was statistically significant (t=5.71, p<.001). Conclusion: Pediatric inpatient fall prevention education using leaflets and picture books can improve caregivers' fall-related knowledge and preventive behaviors. In turn, this can reduce children's falls in pediatric wards in general hospitals.

• Journal of muscle and joint health
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• v.26 no.1
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• pp.54-61
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• 2019

Purpose: This study was performed to identify nursing students' fall prevention activities, health beliefs of falling and factors associated with fall prevention activities among nursing students. Methods: 149 nursing students from a university completed self-administered questionnaires including participants' characteristics, fall prevention activities, and health belief of falling. Hierarchical multiple regression analysis was used to determine significant independent factors of fall prevention activities. Results: The score for fall prevention activities was $62.40{\pm}9.78$, which was relatively high. The regression model had an adjusted $R^2$ of .16, which indicated that perceived susceptibility was a factor affecting fall prevention activities of nursing students. Conclusion: To increase perceived susceptibility, repetitive fall prevention education including various examples of falls could help nursing students to promote fall prevention activities. Nursing faculty should develop contents to increase recognition of obligation and responsibility regarding fall prevention in curriculum for nursing students.

• Journal of the Korea Safety Management & Science
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• v.11 no.3
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• pp.33-40
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• 2009

Steel and iron manufacture works exist that many latency risk as melting liquid of high temperature, work of high place, and so on. Once in a while, the accident case make use of basic data for latency risk analysis in a place of business. In this paper, we investigated the cause of the accident in steel an iron works. The result, we came across that many latency risk in steel and iron manufacture works. The main type of risk are fall, narrow, come flying, etc. Most of the latency risk type are repetition and conventional accident. Accordingly, steel and manufacture works must prevent to repetition and conventional accident.

• Journal of the Korean Society of Safety
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• v.13 no.4
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• pp.221-229
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• 1998

This study, with a view point to prevent accidents arising from steel structure, construction process, has taken an approach of reviewing related materials and construction safety guidelines, conducting questionnaire surveys and on field surveys. This study has also analyzed and classified accident cases and disclosed elements concerned with those accidents. A comparative analysis of the disclosed elements against the statutory provisions regarding industrial safety and it showed that strict observance of safety rules of the accident prevention measures in industrial safety standards will result in a decrease in accidents. It is concluded, however, that additional accident prevention measures, as suggested below, should be implemented for performing of more practical and positive accident prevention. 1) Thorough review and preparation at pre-working stage at sites : Such elements of fall preventing facilely as supporting ropes and steel fabrications for safety guard rails should be initially reflected on detailed drawings and shop drawings so that they can be installed in advance at fabricating plants. 2) Sets of steel frame stairs for work platform should be installed or secured with priority and temporary installation of such prefabricated platform as scaffolds should be installed in advance with those platform attached to the frame members on the ground whenever possible before they are lifted. 3) A decrease in the rate of accident by more than 10% on Tuesdays and Thursdays, has been shown from the accident analysis so schedule of construction process should consider possible weekday of high risk of accidents such as Tuesday and Thursday. 4) An array of systemized safety activities should be adopted, such as legal installation of safety facilities based on advance safety management plan, maintenance of safety for machinery and construction equipment, and strict compliance of safety rules by workers.

• Journal of the Korean Society of Safety
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• v.35 no.2
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• pp.67-75
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• 2020

Due to various industrial accident that occur to the staff in the broadcasting production sites, the issue of safety at the broadcast production site is becoming a social issue. Nevertheless, not many researches have been carried out on the actual conditions of the staff's production environment and its safety issues. Therefore, the purpose of this study was to prepare a countermeasure based on engineering knowledge by analyzing working environment to improve the poor working environment of staff. First, this study analyzed statistical data of industrial accidents over the past five years to find out the current status of disasters at broadcasting production sites. As a result, the intensity of the accident was not weak in that the loss days was more than one month in 85% of accident. In addition, the type of accident was high in the fall/trip accidents. Second, this study visited 10 broadcasting production sites for risk assessment. By analyzing the characteristics of the working environment and 104 questionnaires, we predicted the types of accidents that can occur in the broadcasting production site. As a result, accident types such as fall, collision, and trip were relatively high, similar to the characteristics of construction site. Third, it was possible to quantify the scale of the risk in the broadcasting production, and as a result, the quantity of temporary structure and accident risk were proportional. In other words, this study analyzes broadcasting work environment and defines risk factors based on safety engineering knowledge. Finally, this study suggested a guideline to improve the safety of the broadcasting production site.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.3
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• pp.69-76
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• 2018

General workers who assist various technicians in different fields with their work across the whole construction sites without having a particular skill are at risk of the highest accident rate and their accident form becomes varied. Accordingly, this study was conducted to identify the relationship between form of safety accident and influence factor in general workers and analyze accident severity by influence factor. The followings are the results from this study. First, as a result of analyzing major form of accident and influence factors in general workers with network analysis methodology, nine forms of accident and seventeen influence factors were drawn. Second, it was found that in accident severity among general workers, collapsing, among various forms of accident, appeared the highest, followed by fall, electric shock, fire, hit by an object, bumped against, trip, scission getting cut chopped in order. Third, main points of special, concentrated, and permanent management were presented in order to reduce the safety accident in general workers effectively.

• Journal of the Korea Safety Management & Science
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• v.11 no.3
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• pp.57-61
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• 2009

Garbage cause an environmental pollution, unsightly mess, fouls an odor, and unpleasant feeling. Various measures to solve the problems are studying. And the garbage are collected and treated by the street cleaner. Street cleaner is working for long time in the street from dawn to the night. And many kind of accidents are aroused, like traffic and crushing accident by garbage truck. This kind of accidents is increased every year. To prevent the accident, street cleaner wear a fluorescent light uniform But a count measures for the fallen accident and crushing accident from the garbage truck are insufficient. In addition, a street cleaner dose not like to wear a working uniform because of inconvenience. Therefore this study try to find a safety system of garbage truck for reducing measure of accidents of street cleaner.

• The Korean Journal of Rehabilitation Nursing
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• v.16 no.1
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• pp.55-62
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• 2013

Purpose: The purpose of this study was to identify the factors affected with nurses' prevention activity against hospital fall. Methods: The data were collected from 325 nurses at C University Hospital in G City by using the structured questionnaires from February 21, 2011 to March 12, 2011. The data were analyzed by stepwise multiple regression. Results: The main factor associated with prevention activity against hospital fall was the attitude towards hospital fall (${\beta}$=.26, p<.001), the next one was the educational level (${\beta}$=.16, p=.002), and the last one was the frequency of fall prevention education (${\beta}$=.14, p=.009). The all factors could explain 11.1% of the variance in the nurses' prevention activities against hospital fall. Conclusion: Hospital managers need to make hospital culture to enhance the nurse's positive attitude about hospital fall prevention. In addition, educators need to develop educational programs including hospital fall prevention through academic curriculum and continuing education.

• Journal of Sensor Science and Technology
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• v.31 no.2
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• pp.96-101
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• 2022

As the elderly population gradually increases, the risk of fatal fall accidents among the elderly is increasing. One way to cope with a fall accident is to determine the fall direction before impact using a wearable inertial measurement unit (IMU). In this context, a previous study proposed a method of classifying fall directions using a support vector machine with sensor velocity, acceleration, and tilt angle as input parameters. However, in this method, the IMU signals are processed through several processes, including a Kalman filter and the integration of acceleration, which involves a large amount of computation and error factors. Therefore, this paper proposes a machine learning-based method that classifies the fall direction before impact using IMU raw signals rather than processed data. In this study, we investigated the effects of the following two factors on the classification performance: (1) the usage of processed/raw signals and (2) the selection of machine learning techniques. First, as a result of comparing the processed/raw signals, the difference in sensitivities between the two methods was within 5%, indicating an equivalent level of classification performance. Second, as a result of comparing six machine learning techniques, K-nearest neighbor and naive Bayes exhibited excellent performance with a sensitivity of 86.0% and 84.1%, respectively.