• Journal of Korean Clinical Nursing Research
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• v.28 no.3
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• pp.270-276
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• 2022

Purpose: The purpose of this study was to validate the Edmonson psychiatric fall risk assessment tool (EPFRAT) for psychiatric inpatients. Methods: Data from retrospective study were collected from 670 adult inpatients in two departments of mental health medicine of a tertiary general hospital by reviewing their electronic medical records. There were 41 patients who experienced falls and 629 patients who did not experience falls during the period from January to December 2019. Data were analyzed by sensitivity, specificity, positive predictive value, negative predictive value, and a receiver-operating characteristic curve (ROC) for validity assessment using the IBM SPSS/WIN 26.0 program. Results: Factors affecting falls were the participant's age, guardian's residence, high-risk determination at the time of admission, and comorbidity. At the 85 points where the point of sum of the sensitivity and specificity was largest, the sensitivity, specificity, positive predictive value, and negative predictive value of EPFRAT were 92.7%, 79.7%, 22.9%, and 99.4%, respectively. The area under the ROC to assess the overall validity of the tool was .92 (95% CI 0.89~0.94). Conclusion: The EPFRAT was proved to be valid and reasonable for predicting falls in psychiatric inpatients. Based on the results of this study, it could be used for the assessment of high-risk patients for falls in psychiatric units.

• Korea Journal of Hospital Management
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• v.10 no.3
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• pp.67-84
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• 2005

To compare differences of LOS between the group of inpatients via referral centers(the referral group) and the group of inpatients via different routes (the general group) and analyze factors which determine the difference. The 9,484 cases of newly inpatients of Mar., Jun., Sep., Dec. of year 2003 were used for the data. We calculate the Case-mix index of length of stay($CMI_{LOS}$) to compare LOS adjusted with the disease as the ratio of a patient' LOS to all patients' average LOS by 21 classification diagnosis group. We conducted t-test to compare differences of $CMI_{LOS}$ between two groups and multiple regression to analyze factors determining the difference. $CMI_{LOS}$ was 0.94 in the referral group, which was smaller than 1.01 in the general group. LOS was 7.5days in the referral group, which was 0.6day shorter than that in the general group. Multiple regression also showed that $CMI_{LOS}$ was smaller in the referral group than in the general group after controlling patients' general characteristics, diagnostic information variables. The referral centers can be said to playa role in decreasing LOS. We suggest that variety of depth studies on referral centers should be continued at the strategic level of hospital management using additional medical informations.

• Nutrition Research and Practice
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• v.12 no.3
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• pp.215-221
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• 2018

BACKGROUND/OBJECTIVES: The prevalence of malnutrition among hospitalized children ranges between 12% and 24%. Although the consequences of hospital malnutrition are enormous, it is often unrecognized and untreated. The aim of this study was to identify the current status of in-hospital nutrition support for children in South Korea by carrying out a nationwide hospital-based survey. SUBJECTS/METHODS: Out of 345 general and tertiary hospitals in South Korea, a total of 53 institutes with pediatric gastroenterologists and more than 10 pediatric inpatients were selected. A questionnaire was developed by the nutrition committee of the Korean Society of Pediatric Gastroenterology, Hepatology and Nutrition. The questionnaires were sent to pediatric gastroenterologists in each hospital. Survey was performed by e-mails. RESULTS: Forty hospitals (75.5%) responded to the survey; 23 of them were tertiary hospitals, and 17 of them were general hospitals. Only 21 hospitals (52.5%) had all the required nutritional support personnel (including pediatrician, nutritionist, pharmacist, and nurse) assigned to pediatric patients. Routine nutritional screening was performed in 22 (55.0%) hospitals on admission, which was lower than that in adult patients (65.8%). Nutritional screening tools varied among hospitals; 33 of 40 (82.5%) hospitals used their own screening tools. The most frequently used nutritional assessment parameters were weight, height, hemoglobin, and serum albumin levels. In our nationwide hospital-based survey, the most frequently reported main barriers of nutritional support in hospitals were lack of manpower and excessive workload, followed by insufficient knowledge and experience. CONCLUSIONS: Although this nationwide hospital-based survey targeted general and tertiary hospitals with pediatric gastroenterologists, manpower and medical resources for nutritional support were still insufficient for hospitalized children, and nutritional screening was not routinely performed in many hospitals. More attention to hospital malnutrition and additional national policies for nutritional support in hospitals are required to ensure appropriate nutritional management of hospitalized pediatric patients.

• Korea Journal of Hospital Management
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• v.28 no.1
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• pp.14-23
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• 2023

Purposes: The Specialty hospital designation policy had launched in 2011 and 110 designated specialty hospitals have been operating nationwide in 2022. This study was to estimate the market share of specialty hospitals for the specific diseases compared to other types of hospitals. Methodology: Data were derived from the National Health Insurance Claim data from 2018 to 2019. Subjects were all the inpatients with MDC(Major Disease Category) that specialty hospitals specialized in. A total of 34,231,387 claims were analyzed to estimate the market share. Findings: 90 specialty hospitals were responsible for 2.4 percent of inpatient care with specific diseases for specialty hospitals. There were regional variations in the market share of the specialty hospitals as the number of specialty hospitals in regions. Specialty hospitals' market shares were relatively high in burn(31.3%), ophthalmology(16.4%), obstetrics and gynecology(7.1%), alcohol(6.0%), joint(3.7%), spine(2.7%). After adjusting the number of inpatients per hospital, hospitals specialized in burn, alcohol, ophthalmology, breast, joint, obstetrics and gynecology, and hand replantation had treated more patients than tertiary hospitals. Practical Implications: Although specialty hospitals' market share was small, some types of specialty hospitals had an impact on the regional market as well as the national level market. To improve patients' accessibility to a specialty hospital, it is necessary to government supports non-specialized hospitals to change into specialty hospitals in certain fields and regions where the number of specialty hospitals is insufficient.

• Journal of Korean Academy of Nursing
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• v.35 no.8
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• pp.1493-1499
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• 2005

Background. Adequate staffing is necessary to meet patient care needs and provide safe, quality nursing care. In November 1999, the Korean government implemented a new staffing policy that differentiates nursing fees for inpatients based on nurse-to-bed ratios. The purpose was to prevent hospitals from delegating nursing care to family members of patients or paid caregivers, and ultimately deteriorating the quality of nursing care services. Purpose. To examine nurse staffing levels and related factors including hospital, nursing and medical staff, and financial characteristics. Methods. A cross-sectional design was employed using two administrative databases, Medical Care Institution Database and Medical Claims Data for May 1-31, 2002. Nurse staffing was graded from 1 to 6, based on grading criteria of nurse-to-bed ratios provided by the policy. The study sample consisted of 42 tertiary and 186 general acute care hospitals. Results. None of tertiary or general hospitals gained the highest nurse staffing of Grade 1 (i.e., less than 2 beds per nurse in tertiary hospitals; less than 2.5 beds per nurse in general hospitals). Two thirds of the general hospitals had the lowest staffing of Grade 6 (i.e., 4 or more beds per nurse in tertiary hospitals; 4.5 or more beds per nurse in general hospitals). Tertiary hospitals were better staffed than general hospitals, and private hospitals had higher staffing levels compared to public hospitals. Large-sized general hospitals located in metropolitan areas had higher staffing than other general hospitals. Occupancy rate was positively related to nurse staffing. A negative relationship between nursing assistant and nurse staffing was found in general hospitals. A greater number of physician specialists were associated with better nurse staffing. Conclusions. The staffing policy needs to be evaluated and modified to make it more effective in leading hospitals to increase nurse staffing.

• Journal of the Korean Dietetic Association
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• v.17 no.2
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• pp.176-189
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• 2011

The purpose of this study was to investigate the status of clinical nutrition services at various medical centers in Seoul, Korea. A questionnaire was distributed to the departments of nutrition at 44 hospitals in Seoul on July 2009. Nutritional screening carried out at a rate of 59.1% at the medical centers, and a significant difference was found according to the type of center, from 100% in tertiary hospitals to 18.8% in normal hospitals. On annual average, the numbers of inpatients, inpatients for malnutritional screening, inpatients with malnutrition, and inpatients for malnutrition management were 15,169.5, 10,870.9, 2,224.8, and 1,546.2, respectively. On average the group nutrition education was done 36.1 times/year for diabetes, 8.2 times/year for cancer, and 1.9 times/year for renal disease, and the numbers of participants 423.1, 95.1, and 31.5, respectively. On average the individual nutrition education of inpatients with diabetes was done 135.4 times/year for ordered-type, and 119.3 times/year for unordered-type, 106.2 times/year for paid-type, and 148.5 times/year for unpaid-type. The mean fee for education and counseling was the highest for peritoneal dialysis (73,090.9 won) but the lowest for heart disease (23,609.1 won). On average the individual nutrition education of outpatients with diabetes was done 234.6 times/year for ordered-type, and 2.5 times/year for unordered-type, 204.4 times/year for paid-type, and 32.7 times/year for unpaid-type. The mean fee for education and counseling was also the highest for peritoneal dialysis (63,500.0 won) but the lowest for heart disease (21,336.4 won). To implement more effective clinical nutrition service, a national medical insurance imbursement policy should be urgently instituted such that diseases left as unpaid are covered by health insurance, including all nutrition-related disease.

• Journal of Korean Academy of Nursing
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• v.20 no.1
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• pp.16-37
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• 1990

A cost analysis for hospitalized patients was carried out based upon Patient Classification System(PCS) in order to determine an appropriate nursing fee. The data were collected from 21 nursing units of three teaching hospitals from April 1 to June 30, 1989. first, all of the 22,056 inpatients were classified into mildly ill(Class Ⅰ), moderately ill(Class Ⅱ), acutely ill(Class Ⅲ), and critically ill(Class Ⅳ) by the PCS which had been carefully developed to be suitable for the Korean nursing units. Second. PCS cost accounting was applied to the above data. The distribution of inpatients, nursing costs, and nursing productivity were as follows : 1) Patient distribution ranged from 45% to class Ⅰ, 36% to class Ⅱ, 15% to class Ⅲ, and 4% to class Ⅳ, the proportion of class Ⅳ in ‘H’ Hospital was greater than that of the other two hospitals. 2) The proportion of Class Ⅲ and Ⅳ in the medical nursing units was greater than that of surgical nursing units. 3) The number of inpatients was greatest on Tuesdays, and least on Sundays. 4) The average nursing cost per hour was W 3,164 for ‘S’ hospital, W 3,511 for ‘H’ hospital and W 4,824 for ‘K’ hospital. The average nursing cost per patient per day was W 14,126 for ‘S’ Hospital, W 15,842 for ‘H’ hospital and W 21,525 for ‘K’ hospital. 5) The average nursing cost calculated by the PCS was W 13,232 for class Ⅰ, W 18,478 for class Ⅱ, W 23,000 for class Ⅲ, and W 25,469 for class Ⅳ. 6) The average nursing cost for the medical and surgical nursing units was W 13,180 and W 13,303 respetively for class Ⅰ, W 18,248 and W 18,707 for class Ⅱ, W 22,303 and W 23,696 for class Ⅲ, and W 24,331 and W 26,606 for class Ⅳ. 7) The nursing costs were composed of 85% for wages and fringe benefits, 3% for material supplies and 12% for overhead. The proportion of wages and fringe benefits among the three Hospitals ranged from 75%, 92% and 98% for the ‘S’, ‘H’, ‘K’ hospitals respectively These findings explain why the average nursing cost of ‘K’ hospital was higher than the others. 8) According to a multi- regression analysis, wages and fringe benefits, material supplies, and overhead had an equal influence on determining the nursing cost while the nursing hours had less influence. 9) The productivity of the medical nursing units were higher than the surgical nursing units, productivity of the D(TS) - nursing units was the lowest while the K(Med) - nursing unit was the highest in 'S' hospital. In ‘H’ hospital, productivity was related to the number of inpatients rather than to the characteristics of the nursing units. The ‘K’ hospital showed the same trend as ‘S’ hospital, that the productivity of the medical nursing unit was higher than the surgical nursing unit. The productivity of ‘S’ hospital was evaluated the highest followed by ‘H’ hospital and ‘K’ hospital. Future research on nursing costs should be extended to the other special nursing areas such as pediatric and psychiatric nursing units, and to ICU or operating rooms. Further, the PCS tool should be carefully evaluated for its appropriateness to all levels of institutions(primary, secondary, tertiary). This study took account only of the quantity of nursing services when developing the PCS tool for evaluating the productivity of nursing units. Future research should also consider the quality of nursing services including the appropriateness of nursing activities.

• The Korean Journal of Health Service Management
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• v.9 no.3
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• pp.43-55
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• 2015

Objectives : This study analyzed the managerial efficiency of hospitals and identified the productivity trends for three years. Methods : Data were collected from 44 tertiary hospitals and 32 university hospitals from 2009 to 2011. Efficiency scores and productivity trends were evaluated with the DEA (Data Envelopment Analysis) method. The input variables were the numbers of beds, doctors, nurses, and health personnel, and the medical costs. The output variables were the numbers of outpatients, and inpatients, and the medical revenues. Along with the traditional input-oriented DEA analysis, the Malmquist Productivity Index(MPI) was calculated. Results : First, the mean values of the study variables showed gradual increases in all the variables for all the study years. Second, technical efficiency scores varied depending on the study year. Third, MPI decreased from 2009 to 2010 (MPI=0.986), and then increased from 2010 to 2011(MPI=1.011). The contributions of the Efficiency Change Index and Technical Change Index on the MPI varied depending on the study year. Conclusions : This study provides information to hospital managers about changes in hospital performances. External environments had more influence on hospital performances, and hospital managers will need to manage these influences from factors surrounding the hospitals.

• Korea Journal of Hospital Management
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• v.28 no.2
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• pp.44-65
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• 2023

Purposes: As super-aging population and low fertility rates are threatening the sustainability of the National Health Insurance funds, enhancing the efficiency of hospital management is paramount. In the past, studies analyzing the efficiencies of hospitals primarily made inter-hospital comparisons, but it is important to assess hospitals' internal efficiency and develop improvement measures in order to attain practical improvements in hospital efficiencies. The purpose of this study is to analyze the efficiencies of specialists by medical specialty in a hospital in order to provide foundational data for efficient hospital management. Methodology/Approach: We used the activity-based costing (ABC) data and hospital statistical data from one tertiary hospital in Seoul to analyze the efficiency of specialists by medical specialty. Efficiency was analyzed and compared among specialists using the data envelopment analysis developed by Charnes, Cooper, and Rhodes (DEA-CCR) model and the slacks-based measure (SBM) models. The input variables were labor cost, material cost, and operational expenses, and the output variables were the number of outpatients, number of inpatients, outpatient revenue, and inpatient revenue. Findings: First, there was a marked deviation in efficiency across specialists. Second, there was a marked deviation in efficiency across medical specialties. Third, there was little difference in efficiency according to the specialist's sex, age, and job position. Fourth, the SBM model produced more conservative results and better explained efficiency parameters than the CCR model. Practical Implications: The efficiency of a specialist was more influenced by their medical specialty than their personal characteristics, namely sex, age, and job position. Therefore, Further research is needed to analyze the efficiencies of each subspecialty and identify factors that contribute to the variations in efficiencies across medical specialties, such as clinical practices and fee structures.

• Health Policy and Management
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• v.5 no.1
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• pp.31-58
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• 1995

The Korean government achieved the universal coverage of health insurance in July 1989, and concomitantly introduced a new measure of regulated health care delivery system in using medical care. There are three reasons why the government took the new health care delivery system. Firstly, there was ample room for improving the allocative efficiency in the use of medical facilities. And the second one was to constrain the dramatic increase of medical demand under health insurance. Thirdly, and the most important reason was to alleviate the patient crowdedness in big general hospitals, particularly tertiary hospitals. There are essentially two different ways to control the use of health care : one is to cut the demand for health care, and the other to regulate behaviors of providers through the use of incentives/disincentives, demand-side approach or supply-side approach. The objective of this study is to examine whether or not medical care utilization behaviors under health insurance scheme have been changed among medical facilities such as clinic, hospital, general hospital and tertiary hospital in comparison with those before and after the introduction, particularly whether the patient crowdedness in tertiary hospitals has been alleviated or not. In order to conduct this study, the insurance claim data during the period of January 1989 and July 1992 were analyzed by focusing on diagnosis of both inpatients and outpatients, and especially the fifteen most frequent diseases in ambulatory care and the seven most frequent diseases in hospitalizatio. In addition, the same analyses were made on the changes in medical care utilization by specialty department. This was because the five departments, such as family medicine, ENT, eye, dermatology and rehabilitation, were exempted from applying the regulated health care delivery system in tertiary hospitals. The study revealed that a remarkable alleviation effect in the crowdness was noted for tertiary hospitals. This effect was most conspicuous for the most frequent mild diseases of both inpatient and outpatient care. For example, the fifteen most frequent OPD care at tertiary facilities have decreased as much as by 40%, of which 34% belonged to the cut in initial visits. Meanwhile, the proportion of those who used general hospitals and private practitioner's clinics have increased due to the shift of patients. The cases from the five special departments were also decreased, but not so much as other departments. A problem was noted that, as time passed by, the decreasing tendencies of crowdness at tertiary hospitals due to the regulated system became slightly smaller. Therefore, through complementary remedies are needed for the future implementation.