• Korea Journal of Hospital Management
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• v.8 no.1
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• pp.135-164
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• 2003

The operating room is the major facility that costs the highest investment per unit area in a hospital. It requires commitment of hospital resources such as manpower, equipments and material. The quantity of these resources committed actually differs from one type of operation to another. Because of this, it is not an easy task to allocate the operating cost to individual clinical departments that share the operating room. A practical way to do so may be to collect and add the operating costs incurred by each clinical department and charge the net cost to the account of the corresponding clinical department. It has been customary to allocate the cost of the operating room to the account of each individual department on the basis of the ratio of the number of operations of the department or the total revenue by each operating room. In an attempt to set up more rational cost allocation method than the customary method, this study proposes a new cost allocation method that calls for itemizing the operation cost into its constituent expenses in detail and adding them up for the operating cost incurred by each individual department. For comparison of the new method with the conventional method, the operating room in the main building of hospital A near Seoul is chosen as a study object. It is selected because it is the biggest operating room in hospital A and most of operations in this hospital are conducted in this room. For this study the one-month operation record performed in January 2001 in this operating room is analyzed to allocate the per-month operation cost to six clinical departments that used this operating room; the departments of general surgery, orthopedic surgery, neuro-surgery, dental surgery, urology, and obstetrics & gynecology. In the new method(or method 1), each operation cost is categorized into three major expenses; personnel expense, material expense, and overhead expense and is allocated into the account of the clinical department that used the operating room. The method 1 shows that, among the total one-month operating cost of 814,054 thousand wons in this hospital, 163,714 thousand won is allocated to GS, 335,084 thousand won to as, 202,772 thousand won to NS, 42,265 thousand won to uno, 33,423 thousand won to OB/GY, and 36.796 thousand won to DS. The allocation of the operating cost to six departments by the new method is quite different from that by the conventional method. According to one conventional allocation method based on the ratio of the number of operations of a department to the total number of operations in the operating room(method 2 hereafter), 329,692 thousand won are allocated to GS, 262,125 thousand won to as, 87,104 thousand won to NS, 59,426 thousand won to URO, 51.285 thousand won to OB/GY, and 24,422 thousand won to DS. According to the other conventional allocation method based on the ratio of the revenue of a department(method 3 hereafter), 148,158 thousand won are allocated to GS, 272,708 thousand won to as, 268.638 thousand won to NS, 45,587 thousand won to uno, 51.285 thousand won to OB/GY, and 27.678 thousand won to DS. As can be noted from these results, the cost allocation to six departments by method 1 is strikingly different from those by method 2 and method 3. The operating cost allocated to GS by method 2 is about twice by method 1. Method 3 makes allocations of the operating cost to individual departments very similarly as method 1. However, there are still discrepancies between the two methods. In particular the cost allocations to OB/GY by the two methods have roughly 53.4% discrepancy. The conventional methods 2 and 3 fail to take into account properly the fact that the average time spent for the operation is different and dependent on the clinical department, whether or not to use expensive clinical material dictate the operating cost, and there is difference between the official operating cost and the actual operating cost. This is why the conventional methods turn out to be inappropriate as the operating cost allocation methods. In conclusion, the new method here may be laborious and cause a complexity in bookkeeping because it requires detailed bookkeeping of the operation cost by its constituent expenses and also by individual clinical department, treating each department as an independent accounting unit. But the method is worth adopting because it will allow the concerned hospital to estimate the operating cost as accurately as practicable. The cost data used in this study such as personnel expense, material cost, overhead cost may not be correct ones. Therefore, the operating cost estimated in the main text may not be the same as the actual cost. Also, the study is focused on the case of only hospital A, which is hardly claimed to represent the hospitals across the nation. In spite of these deficiencies, this study is noteworthy from the standpoint that it proposes a practical allocation method of the operating cost to each individual clinical department.

• Journal of Korean Medical classics
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• v.13 no.2 s.17
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• pp.174-188
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• 2000

The meaning of Tiangui(天癸) in $Suwen{\cdot}Shanggutianzhenlun\;素問{\cdot}上古天眞論$ is very important because it has the cause of 'having a child' and it shows the signs to being healthy. But until now there have been many arguments about what the correct meaning of Tiangui is. The most important thing in these arguments is to compare and analyze Neijing(內經) commentators' views, and to understand differences between their views. So I compared and analyzed by focusing on Neijing(內經) text, the other books with explanatory notes, and other commentators' views, and, after that. I got the following results. 1. On the meaning of Tian(天), Wangbing(王氷) and Mashi(馬蒔) considered that it is inborn. Zhangjiecong(張志聽) considered it as the Yang(陽) producing Yin(陰) Zhangjiebin(張介賓) regarded it as the Yang(陽) of Gua symbol. On the meaning of the Gui(癸). Zhangjiebin(張介賓) said that it is Yin qi(陰氣) which is the prior step to Xing(形). Mashi(馬蒔) and Zhangzhicong(張志聽) said that it is spirit or Jingxue(spiritual sanguine) which is the concrete constituents in our body. 2. On the relation bet ween Tian(天) and Gui(癸), Mashi(馬蒔) and Zhangzhicong(張志聽) said that Gui(癸) is made from Tian(天), and Zhangjiebin(張介賓) said that Tian is intrinsic in Gui(癸). 3. On the relation between Tiangui(天癸) and Jingxue(精血), Yangshangshan(楊上善). Wangbing(王氷), and Zhangjiebin(張介賓) regarded Tiangui(天癸) as a concrete matter which is the prior step to becoming Jingxue(精血). Mashi(馬蒔) and Zhangjiecong(張志聽) considered Tiangui(天癸) as a concrete matter. Mashi(馬蒔) considered Tiangui(天癸) as Jing(精)which is directly related to pregnancy. Zhangjiecong(張志聽) regarded Tiangui(天癸) as Jingxue(精血) which controls general physiology of men and women. 4. On the function of Tiangui(天癸), Yangshangshan(楊上善) and Wangbing(王氷) considered that Tiangui (天癸) has relation to menstruation. pregnancy. and, production and extinction of Jing(精). Zhangjiecong(張志聽) argued that Tiangui(天癸) strengthens and warms muscle and derma. and controls differential physiology between men and women, and said that the maintenance of its activity is based on the acquired spirit of food. A book of 『Huangti Neijing Yanjiu Dacheng(黃帝內經硏究大成)』 said that the function of Tiangui(天癸) is to promote generation, to develop the second sexual symbol, and to make growing and aging in body. It also said that Tiangui(天癸) has some relation to kidney and other organs, Chong Meridian, Ren Meridian, Du Meridian, and Dai Meridian. 5. Other commentators of 『Neijing(內經)』 accepted the meaning of Tiangui(天癸) as the prior step of both man's spiritual overflowing and woman's menstruation. 6. On the relation between Tiangui(天癸). and, Cheng and Ren Meridians, Yangshangshan(楊上善) and Zhangjiecong(張志聽) said that Tiangui(天癸) has direct relation with two meridians. Wangbing(王氷) said that Tiangui(天癸) and two meridians have no direct relation. Now I compared commentaors' views of Tiangui(天癸) and studied the differences between their views. I concluded that on the concept of Tiangui(天癸), Zhangjiebin(張介賓)'s explanations express well its connotative meaning. And on the function of Tiangui (天癸), Zhangjiecong(張志聽)'s explanations are excellent because he organized well his seniors' views, and extended its meaning by showing Neijing(內經)'s phrases related to Chong and Ren Meridians. Also, Mashi(馬蒔) suggested that if Tiangui(天癸) comes earlier than normal. people will die soon. But I think that more studies on male and female bodies are needed as to Mashi(馬蒔)'s argument.

• Journal of Korean Academy of Nursing
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• v.13 no.1
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• pp.7-21
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• 1983

For the flexible and rational distribution of limited existing health resources based on measurements of individual risk, the socalled Risk Approach is being proposed by the World Health Organization as a managerial tool in maternal and child health care program. This approach, in principle, puts us under the necessity of developing a technique by which we will be able to measure the degree of risk or to discriminate the future outcomes of pregnancy on the basis of prior information obtainable at prenatal care delivery settings. Numerous recent studies have focussed on the identification of relevant risk factors as the Prior infer mation and on defining the adverse outcomes of pregnancy to be dicriminated, and also have tried on how to develope scoring system of risk factors for the quantitative assessment of the factors as the determinant of pregnancy outcomes. Once the scoring system is established the technique of classifying the patients into with normal and with adverse outcomes will be easily de veloped. The scoring system should be developed to meet the following four basic requirements. 1) Easy to construct 2) Easy to use 3) To be theoretically sound 4) To be valid In searching for a feasible methodology which will meet these requirements, the author has attempted to apply the“Likelihood Method”, one of the well known principles in statistical analysis, to develop such scoring system according to the process as follows. Step 1. Classify the patients into four groups: Group $A_1$: With adverse outcomes on fetal (neonatal) side only. Group $A_2$: With adverse outcomes on maternal side only. Group $A_3$: With adverse outcome on both maternal and fetal (neonatal) sides. Group B: With normal outcomes. Step 2. Construct the marginal tabulation on the distribution of risk factors for each group. Step 3. For the calculation of risk score, take logarithmic transformation of relative proport-ions of the distribution and round them off to integers. Step 4. Test the validity of the score chart. h total of 2, 282 maternity records registered during the period of January 1, 1982-December 31, 1982 at Ewha Womans University Hospital were used for this study and the“Questionnaire for Maternity Record for Prenatal and Intrapartum High Risk Screening”developed by the Korean Institute for Population and Health was used to rearrange the information on the records into an easy analytic form. The findings of the study are summarized as follows. 1) The risk score chart constructed on the basis of“Likelihood Method”ispresented in Table 4 in the main text. 2) From the analysis of the risk score chart it was observed that a total of 24 risk factors could be identified as having significant predicting power for the discrimination of pregnancy outcomes into four groups as defined above. They are: (1) age (2) marital status (3) age at first pregnancy (4) medical insurance (5) number of pregnancies (6) history of Cesarean sections (7). number of living child (8) history of premature infants (9) history of over weighted new born (10) history of congenital anomalies (11) history of multiple pregnancies (12) history of abnormal presentation (13) history of obstetric abnormalities (14) past illness (15) hemoglobin level (16) blood pressure (17) heart status (18) general appearance (19) edema status (20) result of abdominal examination (21) cervix status (22) pelvis status (23) chief complaints (24) Reasons for examination 3) The validity of the score chart turned out to be as follows: a) Sensitivity: Group $A_1$: 0.75 Group $A_2$: 0.78 Group $A_3$: 0.92 All combined : 0.85 b) Specificity : 0.68 4) The diagnosabilities of the“score chart”for a set of hypothetical prevalence of adverse outcomes were calculated as follows (the sensitivity“for all combined”was used). Hypothetidal Prevalence : 5％ 10％ 20％ 30％ 40％ 50％ 60％ Diagnosability : 12% 23% 40% 53% 64% 75% 80%.

• Journal of agricultural medicine and community health
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• v.46 no.2
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• pp.78-88
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• 2021

Objectives: This study aimed to investigate health risk awareness pertaining to fine dust exposure and the use of face masks in farmers, as well as their attitude toward education regarding fine dust-related respiratory disease prevention. Methods: In total, 295 farmers were interviewed in a survey using a structured questionnaire to obtain data on general characteristics, farming-related characteristics, health risk awareness pertaining to fine dust exposure, attitude toward education on fine dust-related respiratory disease prevention and the use of face masks. This study was analyzed the correlation between the perceived susceptibility to fine dust exposure and willingness to participate in education on fine dust-related respiratory disease prevention. Results: The mean score for perceived susceptibility to fine dust exposure was 3.8 (out of 5), and the participants were highly willing to receive education on fine dust-related respiratory disease prevention. In Multiple response analysis of reactions to exposure to fine dust generated during work, 221 participants responded that they practiced at least one preventive action; participants gave a positive response to "wearing masks" (56.1%), "personal hygiene, such as hand washing." (52.9%). In terms of education methods, 94 (33.6%) participants preferred to learn online or via text messages. Conclusions: The significant correlation between the perceived susceptibility to fine dust exposure and willingness to participate in education on fine dust-related respiratory disease prevention shows the importance of promoting education on prevention. The results of this study can help understand as reference for education on fine dust-related respiratory disease prevention.