This research was performed to investigate the characteristics and determination factors on tertiary hospital inpatients. The used data was the four waves of Korea Health Panel(2008, 2009, 2010, 2011), and the number of subjects was 4,430 cases of tertiary and general hospital admission. The statistical methodology used in the study is the logistic regression model. The significant affecting factors in utilizing tertiary hospital admission were gender, marital status, education, household income, residence region and ICD-10 classification. Man, graduating college/university, married, high-income were socio-economic affecting factors in tertiary hospital admission. Medical need factor of ICD-10 classification and residence region of inpatients was also significant affecting factors in tertiary hospital admission. The 81.4% of inpatients at tertiary hospital had chronic disease and the 12.9% of inpatients readmitted, the 68.2% had a selecting doctor and the only 26.7% of inpatients reinforced by private medical insurance. This study recommended the Korean government to provide proper rule for tertiary hospital admission in order to improve the equity and efficiency of health care system.
Background: The study describes the changes resulted from imposition on tertiary hospital outpatient coinsurance rate rise policy and in tertiary or general hospital drug coverage rise policy on healthcare service utilization. Methods: Accordingly, the hypothesis about outpatient healthcare utilization after rise policy in outpatient coinsurance rate and drug coverage was established, using interrupted time-series analysis and segmented regression analysis to test the hypothesis. 5-year analysis period (2007. 3-2012. 3) from the outset year was designated, the data about most common 10 high-ranking of the main diseases targeting visiting patient from age of 6 to 64 were collected. Results: The summary on the major research is followed. First, the medical expense and duration of treatment tends to be increased in case of imposition about rise policy in outpatient coinsurance rate in the tertiary hospital under the interrupted time-series analysis. It showed temporary increase and slow down on account of influenza A even after the policy enforcement. In segmented regression analysis, duration of visit and medical expense in the tertiary hospital increased temporally right after the policy implementation and the decreased rapidly depends on period. Both rise and fall is statistically significant. The second, In case of tertiary or general hospital outpatient drug coverage rise policy, all of the tertiary hospital healthcare service utilization variables by the interrupted time-series analysis, drug coverage policy in the general hospital deeply declined according to decreasing trend before policy implementation. The third, in case of segmented regression analysis, the visit duration and medical expense statistically declined right after the policy implementation in both the tertiary and general hospital. Meanwhile, administration day was statistically meaningful only for the decrease right after the policy implementation. Otherwise, general hospital changes are not statistically meaningful. And the medicine cost was statistically, meaningfully decreased after the increase in drug coverage. Conclusion: Finally, the result demonstrated according to the analysis is only 1 hypothesis is denied, the other 2 are partially supported. Then, tertiary hospital outpatient coinsurance rate increase policy comparatively makes decrease effect on long-term healthcare utilization, and tertiary or general hospital outpatient drug coverage policy showed partially short-term effect is assured.
Purpose. To efficiently manage hospitals, this study aims to analyze the general characteristics, common-type balance sheet, common-type profit and loss statement and financial ratio of a tertiary general hospital and use the results as basic data for future hospital development by comprehending causes for problems and analyzing hospital management. Methods. By using information about a tertiary general hospital, located in A Metropolitan City, provided through Alio (www.alio.go.kr), a public organization information provider, Health Insurance Review & Assessment Service, and Ministry of Health and Welfare, this study used data during 3 years(2011 to 2013) by analyzing the general characteristics, common-type balance sheet, common-type profit and loss statement, industrial mean ratio and financial ratio of hospitals. Results. This study came to the following conclusions through the general characteristics, common-type balance sheet, common-type profit and loss statement, industrial mean ratio, financial ratio, circular chart and ROI by analyzing the data from 2011 to 2013. Conclusions. Overall, A Tertiary General Hospital showed an increase in fixed cost due to the construction of J Hospital and even in the size of capital and assets. It also showed an increase in medical profit, but the increase of its medical cost was higher, resulting in a financial loss. Especially, this hospital showed a slight decrease in net profit, featuring a reduction in inventory turnover. When the management of A Tertiary General Hospital was predicted based on such features, this hospital is expected to improve its profit structure through the opening of J Hospital, and it is necessary for this hospital to increase and sustain the turnover rate of inventories accumulated by managing them better.
Purpose: Mortality rate in the health services research field is frequently considered as a proxy for measuring healthcare quality. We compared the mortality rate and hospitalization levels among patients with poisoning. Methods: A population-based study of hospital size and level based on the Korean health insurance and assessment service was conducted to identify the impact of hospital level on patient mortality. Results: We analyzed a total of 16,416 patients, of which 7,607 were from tertiary hospitals, 8,490 were from general hospitals, and 319 were from hospitals. The highest mortality rate of diagnosis regarding poisoning was T60.31 (other herbicides and fungicides, 16%), followed by T60.0 (organophosphate and carbamate insecticides, 12.7%). There was no statistical difference in mortality among hospital levels for gender. Among age groups, tertiary hospitals had lower mortality than general hospitals and hospitals for patients aged more than 70 years (11.9% mortality at tertiary vs 14.2% at general and 23% at hospital; p=0.003, adjusted z score=-6.9), general hospitals had lower mortality than tertiary hospitals and hospitals for patients aged 18 to 29 (0.6% at general vs 2.4% at tertiary and 3.7% at hospital; p=0.01, adjusted z score=-4.3), and hospitals had lower mortality than tertiary hospitals and general hospitals for patients between 50 and 59 years of age (0% at hospital vs 6.4% at general and 8.3% at tertiary; p=0.004). Conclusion: Overall, there was no significant difference between mortality and hospital level among poisoned patients. However, to establish an efficient treatment system for patients with poisoning, further studies will be needed to identify the role of each facility according to hospital level.
Purpose: This study aimed to explore the distributions of nurse staffing grades and to report changes in staffing grades in general wards and adult and neonatal intensive care units(ICUs) by hospital type and location. Methods: Data collected from the Health Insurance Review and Assessment Service were analyzed. Nurse staffing was categorized from grades 1 to 6 or 7 for general wards, 1 to 9 for adult ICUs, and 1 to 4 for neonatal ICUs based on the nurse-to-bed ratio. Results: The staffing grade for the general wards improved during 2008-2016 in 69.8% of the tertiary hospitals, 58.5% of the general hospitals, and 31.7% of the non-general hospitals. The adult ICUs at tertiary hospitals exhibited a greater improvement in staffing grades (48.8%) than did those of general hospitals (44.2%) during 2008-2015. Tertiary hospitals in non-capital regions showed a greater improvement than those in the capital region. The majority of neonatal ICUs (67.1%) had no change in the staffing grade during 2008-2015. Conclusion: Improvements in nurse staffing differed by hospital type and location. Government policies to improve nurse staffing in non-tertiary hospitals and those in non-capital regions are required to reduce variations in nurse staffing.
Background: The World Health Organization (WHO) has focused on the need for interprofessional education (IPE) to improve interprofessional collaboration competency and patient health outcomes. Accordingly, most European and North American medical colleges have established IPE for students. However, IPE learning activity in medical wards for the clinical experience of pharmacy students has not been fully reviewed in Korea. Therefore, this study aims to examine the current status of IPE learning activities in wards at tertiary and secondary hospitals in order to identify ways to improve the program. Methods: The official document of cooperation consists of six self-administered questions regarding IPE learning activities in wards. The preceptor's response in each hospital was evaluated. Results: Of the 22 hospitals, 9 tertiary hospitals and 12 secondary general hospitals responded. For the introductory pharmacy practice experience (IPPE), participating in intensive care (IC) was provided at one secondary general hospital (8.3%) and no tertiary hospital. Ward rounds with medical staff members were provided at two tertiary hospitals (22.2%) and one (8.3%) secondary general hospital. A major barrier to executing IPE was lack of rewards and incentives for the faculty and preceptors who participated in the program. Conclusion: In both tertiary hospitals and secondary general hospitals, pharmacy students have limited exposure to IPE learning activities in wards at hospital, and IPPE at most hospitals was carried out in pharmacy settings only. This study suggests that it is necessary for the hospitals to improve and support IPE learning activities in wards in order to improve learners' competency.
Purpose. For more effective hospital management, it analyzes the trend through general characteristics, balance sheet, income statement, and financial ratio analysis, grasps the causes of the problems, and analyzes management of the hospital in order to use the result as baseline data for development of the hospital in the future. Methods. The collected data of 3 years from 2011 to 2013 about 3 tertiary hospitals in metropolitan cities from Alio (provider of public institution information; www.alio.go.kr), Health Insurance Review & Assessment Service (www.hira.or.kr), and the website of the Ministry of Health and Welfare (www.mw.go.kr) were analyzed and general characteristics, balance sheet, income statement, and financial ratio, analysis are used as data. Results & Conclusions. From the result of data analysis from 2011 to 2013, general characteristics, balance sheet, income statement, financial ratio analysis, and pie charts could lead to conclusions as follows. In the result of comprehensive analysis, the 3 tertiary hospitals showed increase of fixed expense due to extension of the buildings and so did the scale of fund and asset. Although medical revenue increased, the margin of increase for medical expense was greater than that of medical revenue, which consequently led to loss. In prediction for the 3 tertiary hospitals based on characteristics so far, it is expected to see improved revenue structure after building extension is completed, but it is necessary to exert management effort to maintain its optimal level by enhancement in stability of management and inventory turnover through management of inventories.
Purpose: This study was aimed to examine changes of hospital nurse staffing by hospital characteristics during 2008-2010. Methods: The study sample included 44 tertiary hospitals, 226 general hospitals, and 532 non-general hospitals that were operating during 2008-2010. Grade of nursing management fee was categorized from Grade 1(highest) to 6 (lowest) in tertiary hospitals, l or Grade 7 in general hospitals and non-general hospitals based on the nurse-to-bed ratio. For data analysis, ${\chi}^2$ and GEE were conducted. Results: For three years, the number of tertiary hospitals below Grade 2 were increased from 8 to 12, the number of those above Grade 4 were decreased from 15 to 6. The number of general hospitals above Grade 6 decreased from 123 to 86. Tertiary hospitals and general hospitals had more possibilities to improve nurse staffing grade than general hospital (OR 79.69, 95% CI 50.77~125.09, OR 11.25, 95% CI 8.15~15.53, respectively). Greater likelihood of improvement in grade of nursing management fee was found in university hospital or hospitals with 300 or more beds than other types of hospitals. Conclusion: Differentiating nurse staffing system by hospital type and increasing financial incentives according to the grades are needed to improve hospital nurse staffing.
Purpose: This study attempted to recommend a revision of inpatient nursing fees based on analyzing current and appropriate staffing levels. Methods: Staffing grades and their inpatient nursing fees as of the first quarter of 2022 were analyzed. Nurse managers and staff nurses answered surveys about the current and appropriate staffing levels, working days, and monthly salary. A total of 101 nurse managers and 588 staff nurses working in general wards at tertiary hospitals and general hospitals participated in the study. Results: The results showed that grade 1 staffing was found in 73.3% of tertiary hospitals and 63.7% of general hospitals. The current staffing ratios of tertiary hospitals and general hospitals were 1:9.3 and 1:10.4, respectively. The appropriate staffing ratios according to nurse managers and staff nurses at tertiary hospitals were 1:7.6 and 1:7.0, respectively, and 1:8.7 and 1:8.8 in general hospitals, respectively. The average estimated annual working days of staff nurses were 235.2 days in tertiary hospitals and 240.0 days in general hospitals. The median monthly salary for staff nurses was 4.957 million won in tertiary hospitals and 4.140 million won in general hospitals. The new staffing grade system was suggested from 1:6 (Grade 1) to 1:12 (Grade 5). The new inpatient nursing fee schedules were recommended to be paid based on nursing hours per patient day of each grade. Conclusion: The new staffing grade and inpatient nursing fee schedules are expected to increase staffing levels, improve the quality of nursing care, and provide a better work environment for nurses.
Background: The purpose of this study is to analyze the effects of differential coinsurance policy on prescription drug coverage of outpatients by types of medical institutions. Methods: In this study, we used a sample cohort database of the National Health Insurance Service and frequency analysis and marginal logistic regression model using generalized estimating equation were used for statistical analysis. Results: The summary on the major research is followed. First, about 16% of patients who used only tertiary or general hospital due to 52 ambulatory care sensitive conditions before policy implementation moved to hospitals and clinics. However, about 57% of them still use tertiary or general hospital. Second, the factors influencing the utilization of hospitals and clinics after the implementation of the policy were gender, age, and income level. As a result, the policy is effective to reduce the medical use of outpatient mental patients in tertiary or general hospital, but the effect is not significant. Conclusion: Therefore, in order to achieve the purpose of the policy for establishing the health care delivery system, it is necessary to adjust the co-payment so as to feel the burden on the co-payment when the outpatient for 52 ambulatory care sensitive conditions is used at the tertiary or general hospital.
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