• The Journal of the Convergence on Culture Technology
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• v.2 no.2
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• pp.51-63
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• 2016

The aim of this study was to investigate medical expenses and productivity lost costs associated with medical use of arthropathy disease. For this study, Using by Korea Medical pannel 5434 family and 15872 people in 2012, the enrolled 19-year-old arthropathy were considered and 1370 people were analyzed. Research Method was medical management calculation formular. Emergency medical using cost was 42,128,870 won per year, productivity lost costs was 98,640,000 won per year. Admission medical using times were 4.79, medical cost was 42,128,870 won, productivity lost cost was 945,036,820 won. Out patient clinic using time per year were 12.7, medical cost was 42,128,870 won, productivity lost cost was 91,252,728,000 won. According to this study, athropathy disease could affect to medical cost increasing and productivity decreasing, therefore I suggest that exercise and management for decreasing athropathy disease.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.5
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• pp.1845-1850
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• 2015

Background: Cancer is recently one of the major concerns of the public health both in the world and Iran. To inform priorities for cancer control, this study estimated years of potential life lost (YPLL) and productivity losses due to cancer-related premature mortality in Iran in 2012. Materials and Methods: The number of cancer deaths by sex for all cancers and the ten leading causes of cancer deaths in Iran in 2012 were obtained from the GLOBOCAN database. The life expectancy method and the human capital approach were used to estimate the YPLL and the value of productivity lost due to cancer-related premature mortality. Results: There were 53,350 cancer-related deaths in Iran. We estimated that these cancer deaths resulted in 1,112,680 YPLL in total, 563,332 (50.6%) in males and 549,348 (49.4%) in females. The top 10 ranked cancers accounted for 75% of total death and 70% of total YPLL in the males and 69% for both death and YPLL in the females. The largest contributors for YPLL in the two genders were stomach and breast cancers, respectively. The total cost of lost productivity due to cancer-related premature mortality discounted at 3% rate in Iran, was US$ 1.93 billion. The most costly cancer for the males was stomach, while for the females it was breast cancer. The percentage of the total costs that were attributable to the top 10 cancers was 67% in the males and 71% in the females. Conclusions: The YPLL and productivity losses due to cancer-related premature mortality are substantial in Iran. Setting resource allocation priorities to cancers that occur in younger working-age individuals (such as brain and central nervous system) and/or cancers with high incidence and mortality rates (such as stomach and breast) could potentially decrease the productivity losses and the YPLL to a great extent in Iran.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.295-300
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• 2001

Additional costs as well as schedule delay are occurred due to change orders in today's construction projects. Additional costs, overhead calculation methods are of various types. In a foreign country cases, many claims related to the loss of labor productivity quote research statistics data. In domestic cases, the study of the reason why the loss of labor productivity occurs and its effect have not been performed. Therefore, this paper analyzes factors affecting lost productivity and a methodology is presented to estimate the lost productivity.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.438-441
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• 2003

Construction delays are a common occurrence of most construction projects and difficult to analyze. there are some techniques to analyze delays, such as using CPM, Bar Chart but they are not enough to analyze concurrent and productivity lost delays. Productivity lost delays are different to interruption delays in computing the number of delays and analyzing concurrent delay. This paper describes the delay analysis method considering productivity including concurrent delay analysis.

• Journal of Preventive Medicine and Public Health
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• v.43 no.4
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• pp.352-361
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• 2010

Objectives: This study estimated the annual socioeconomic costs of food-borne disease in 2008 from a societal perspective and using a cost-of-illness method. Methods: Our model employed a comprehensive set of diagnostic disease codes to define food-borne diseases with using the Korea National Health Insurance (KNHI) reimbursement data. This study classified the food borne illness as three types of symptoms according to the severity of the illness: mild, moderate, severe. In addition to the traditional method of assessing the cost-of-illness, the study included measures to account for the lost quality of life. We estimated the cost of the lost quality of life using quality-adjusted life years and a visual analog scale. The direct cost included medical and medication costs, and the non-medical costs included transportation costs, caregiver's cost and administration costs. The lost productivity costs included lost workdays due to illness and lost earnings due to premature death. Results: The study found the estimated annual socioeconomic costs of food-borne disease in 2008 were 954.9 billion won (735.3 billion won-996.9 billion won). The medical cost was 73.4 -76.8% of the cost, the lost productivity cost was 22.6% and the cost of the lost quality of life was 26.0%. Conclusions: Most of the cost-of-illness studies are known to have underestimated the actual socioeconomic costs of the subjects, and these studies excluded many important social costs, such as the value of pain, suffering and functional disability. The study addressed the uncertainty related to estimating the socioeconomic costs of food-borne disease as well as the updated cost estimates. Our estimates could contribute to develop and evaluate policies for food-borne disease.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.4
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• pp.2131-2136
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• 2016

Background: Cancer is currently one of the main public health problems all over the world and its economic burden is substantial both for health systems and for society as a whole. To inform priorities for cancer control, we here estimated years of potential life lost (YPLL) and productivity losses due to cancer-related premature mortality in Iran from 2006 to 2010. Materials and Methods: The number of cancer deaths by sex and age groups for top ten leading cancers in Iran were obtained from the Ministry of Health and Medical Education. To estimate the YPLL and the cost of productivity loss due to cancer-related premature mortality, the life expectancy method and the human capital approach were used, respectively. Results: There were 138,228 cancer-related deaths in Iran (without Tehran province) of which 76 % (106,954) were attributable to the top 10 ranked cancers. Some 63 % of total cancer-related deaths were of males. The top 10 ranked cancers resulted in 106,766,942 YPLL in total, 64,171,529 (60 %) in males and 42,595,412 (40%) in females. The estimated YPPLL due to top 10 ranked cancers was 58,581,737 during the period studied of which 32,214,524 (54%) was accounted for in males. The total cost of lost productivity caused by premature deaths because of top 10 cancers was 1.68 billion dollars (US$) from 2006 to 2010, ranging from 251 million dollars in 2006 to 283 million dollars in 2010. Conclusions: This study showed that the economic burden of premature mortality attributable to cancer is significant for Iranian society. The findings provide useful information about the economic impact of cancer for health system policy/decision makers and should facilitate planning of preventive intervention and effective resource allocation.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.442-445
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• 2002

Construction delay claim occurs more often than any other claim. Delay claim impacts adversely the company's existence as well as the project's monetary problem. Because the calculation of the delay is not quantitative, owing not to have enough evidence, it is hard to solve evenly the delay claim. So, it is need to cumulate structurely the construction data or evidence during the construction. This study considers the established study about construction delay claim database and the problems and then presents the relation method between phase schedule and database. Finally, this study established the productivity claim database modeling for construction project through conceptual database modeling and logical database modeling based on information needed to make construction productivity database. So. the purpose of the study is to establish the datamodel for productivity management of construction project for calculating the delay days considering the lost productivity.

• Health Policy and Management
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• v.10 no.3
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• pp.169-187
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• 2000

Cigarette smoking has been identified as the most important source of preventable morbidity and premature mortality (WHO, 1995), The prevalence of smoking among men is very high in Korea. This study estimated productivity losses due to smoking in Korea, 1997. The derivation of cost estimates for mortality, disability, hospitalization and use of physician services related to cigarette smoking is bas 어 on the calculation of attributable fractions suggested by MacMahon and Cole and Smoking-Attributable Mortality, Morbidity, and Economic Cost(SAMMEC) software. To estimate the number of deaths from neoplastic, cardiovascular, respiratory diseases associated with cigarette smoking, estimates for adults(aged 20 years and over) were based on 1997 mortality data, 1995 data on smoking prevalence from Korea Institute for Health and Social Affairs. Smoking-attributable indirect morbidity cost data were obtained from the National Federation of Medical Insurance. As the result of cost estimation, these productivity losses were 336-430 billion won. During 1997, 8,620-10,804 deaths were attributed to smoking. Cigarette smoking resulted in 133,991-169,422 Years of Potential Life Lost (YPLL) to life expectancy. For smoking -attributable indirect mortality costs, the present value of future earnings(PVFE) for the age at death are 299-384 billion won. Smoking-attributable indirect morbidity costs, the costs of lost productivity for persons who are disabled by smoking-related chronic diseases are 37-46 billion won. In this study the productivity losses due to smoking were restricted to the health effects of smoking. It is possible that these costs were underestimated with the limitation of the data. Smoking is the leading preventable cause of illness and death. The results of this study can be used as elementary data for antismoking policy.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.1003-1011
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• 2015

We studied indices to explain runs lost for Korean professional baseball teams. Kim and Kim (2014) studied batting indices to explain run productivity of teams; subsequently, we studied fielding indices to explain runs lost. We considered several combined indices made by combining fielding indices closely connected with the runs lost of teams. Data analysis from all games in the regular seasons of 1982~2014 show that weighted WPH (defined as weighted average of WHIP and number of home runs allowed per game) best explain runs lost. Weighted WPH consisting of WHIP (with weight 81%) and number of home runs allowed per game (with weight 19%) was found optimal weighted WPH having correlation coefficient 0.95033 with average runs lost per game. Analysis by chronological periods gave results not much different.

• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1283-1294
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• 2016

We studied fielding indices to explain runs lost for Korean professional baseball teams, successively motivated by OPS and weighted OPS obtained by combining on-base percentage and slugging average that can adequately explain the run productivity of teams. We considered several combined indices made by combining fielding indices highly correlated with the runs lost of teams. Data analysis from all games in the regular seasons of 1982-2015 shows that weighted adjusted WPH 2 (defined as weighted average of adjusted WHIP and number of home runs allowed per inning) best explains runs lost. Weighted adjusted WPH 2 consisting of adjusted WHIP (with weight 34%) and number of home runs allowed per inning (with weight 66%) was found to be optimal weighted adjusted WPH 2 having correlation coefficient 0.95362 with average runs lost per game. This result is an improvement of the result of the index obtained in Kim and Kim (2015a). Analysis by chronological periods provides results that are not much different. Also we made a list of top 10 pitchers for each of the recent three years, based on the obtained index.