Purpose: This study attempted to analyze the staffing level and critical care nursing fees of intensive care units at tertiary and general hospitals and to provide a professional judgment-based recommendation on staffing level and critical care nursing fee schedules. Methods: Staffing grades and critical care nursing fee schedules for the first quarter of 2017~2020 and the fourth quarter of 2020~2022 were analyzed. A survey was conducted on nursing managers and nurses about the current and appropriate staffing levels. A total of 77 nurse managers and 708 nurses working in Intensive Care Unit(ICU)s at tertiary and general hospitals participated in the study. Results: Grade 1 staffing increased from 25.6% in 2017 to 92.1% in 2022 at tertiary hospitals and from 0.8% in 2017 to 28.4% in 2022 at general hospitals. The current staffing ratios of tertiary and general hospitals were 1:2.21 and 1:2.77, respectively. The appropriate staffing ratio according to nurse managers and nurses was 1:1.00 in patients with more than a ventilator application and 1:2.00 in patients without any ventilator application in tertiary hospitals, and it was 1:1.25 in patients with more than a ventilator application and 1:2.00 in patients without any ventilator application in general hospitals, respectively. Conclusion: The appropriate staffing level was suggested from 1:1.0 to 1:2.0. The new nursing fee schedules were suggested from 1:1.0 (Grade 1) to 1:3.0 (Grade 5) and recommended to be paid based on the staffing grade, minimum number of nurses, and standard annual working days. It is expected to increase staffing levels and provide a better nursing work environment.
Although stress has been implicated to be a risk factor that can threaten physical and mental health, there have been no sufficient studies that analyze the different levels of stress among employees working in the different levels of the hospitals. We aim to identify the general characteristics of hospitals at different levels, to compare the stress levels among customer service representatives working in the tertiary care hospitals as well as acute general hospitals. In addition, we also wanted to analyze the relationship between the types of hospitals and the stress level. The work stress was measured using the Korean Occupational Stress scale. Study subjects' demographic characteristics and lifestyle factors were analyzed using analysis of frequency and multiple regression analysis. Our study revealed that the levels of medical facility were significantly associated with the levels of job stress(P=0.043), and the stress levels of employees working in the acute general hospital's medical facilities were higher than those who were working in tertiary care facilities. We also found that those with higher depression level tended to have higher job stress (P<0.001). Therefore, it is urgent to implement some kind of job stress interventions, especially in the acute general hospital's medical facilities. Moreover, further studies including social and policy research are necessary in order to analyze the overall impact of stress on physical and mental health and to reduce health inequalities among healthcare workers.
Purpose: The aim of this study was to identify the individual, job, and organizational factors affecting the individual innovative behaviors among tertiary care hospitals' nurses. Methods: The participants in this study were 230 nurses who have worked more than one year in tertiary care hospitals. Data were collected using self-administered questionnaires that included individual factors (self efficacy, and empowerment), job factors (knowledge and skills for evidence-based practice, and beliefs for evidence-based practice), organizational factors (perceived organizational support), and individual innovation behavior. The SPSS/WIN 25.0 program was used for data analysis which included descriptive analysis, t-test, ANOVA, Scheffé test, Pearson's correlation coefficient, and hierarchical regression analysis. Results: Individual innovative behavior had significant positive correlations with all of individual, job, and organizational factors. The results of hierarchical regression analysis showed that knowledge and skills for evidence-based practice (β=.28, p<.001), self efficacy (β=.25, p=.002), gender (female, β=.23, p<.001), and beliefs for evidence-based practice (β=.17, p=.016) were significant factors influencing on individual innovative behavior. Conclusion: These findings suggest that knowledge, skills and beliefs for evidence-based practice, and self efficacy were linked to individual innovative behaviors. Therefore, education and human resource management improving self efficacy, knowledge, skills and beliefs for evidence-based practice are needed to increase nurses' individual innovative behaviors in tertiary care hospitals.
Purpose : This study aims to explore nursing activities after the decision to discontinue life-sustaining treatment, awareness of a good death, and perception of life-sustaining treatment decisions among nurses in intensive care units (ICUs) at tertiary general hospitals. Methods : Participants were 173 nurses working in two tertiary general hospitals. The data were collected using structured questionnaires and analyzed using an independent t-test, paired t-test, one-way ANOVA, Scheffé's test, and Pearson's correlation coefficient. Results : Participants were 173 nurses working in two tertiary hospitals. The nursing activity increase was the greatest in the spiritual domain, and the physical domain was where the activities decreased the most. There were significant associations between Awareness of good death (Clinical) and Perception of life-sustaining treatment decision(r=.26, p <.001), Awareness of good death (Closure) and Perception of life-sustaining treatment decision(r=.36, p <.001), and Awareness of good death (Personal control) and Perception of life-sustaining treatment decision(r=.49, p <.001). Conclusion : Based on the results, systematic education programs and job training are required to improve the awareness regarding good death and perception of life-sustaining treatment decision for nurses in ICUs where discontinuing life-sustaining treatment decisions are made.
This study was to evaluate hospital characteristics as composition of manpower and facilities to the death rate of patient; and to earmark the factors affecting the overall hospital mortality rates. The data utilized were derived from survey material conducted by the Korean Hospital Association on 32 tertiary referral hospitals in Korea between 1986 and 1994. The findings are : 1. Those hospitals having the most capacity per bed had little difference to the mortality rates than the others. 2. Those hospitals having the most daily patients per specialist had significantly higher mortality rates than the others, but the number of daily patients per nurse had little effect on the mortality rates. 3. Those hospitals which had a relatively sufficient number of quality assurance activities revealed a lower mortality, and particularly in case where such effort was directed to the clinicians, the outcome was remarkable. We concluded that the major factor affecting the hospital mortality rates seems to be the number of specialists per number of beds, the degree of quality assurance assessment of the clinicians, the quality assurance activities of each hospital as a whole, and the number of daily patient per specialist. According to the findings of this study, the composition and quality of specialist and adequate quality assurance activities seemed to be the essential for the improvement of hospital care. Therefore, in this regard e proper implementation of policy and support is highly recommended. Due to lack of available research material, the personal characteristics of specialists haven't been considered in this study. However, this longitudinal observation of 32 tertiary referral hospitals over a nine year period has significant merit alone.
Health care organizations have been faced with financial difficulties under turbulent health care environment. This situation led hospitals to concentrate their efforts to improve their managerial efficiency in various ways. This study aims to evaluate technical efficiency of 31 tertiary hospitals in Korea and find determinants which are closely related with hospital efficiency. Data envelopment analysis(DEA) and Tobit Model were adopted for study. For the analysis, human resource factors such as number of physicians, nurses, and administrative staffs are used as input variables and the number of inpatients and outpatients) are used as output variables. Among 31 hospitals, in CCR model, 8 hositals showed efficiency score 1 which means they have been operated in very efficient ways and BCC model showed 13 of 31 hospitals as efficient organizations. Next, we analyzed determinants which are closely related with hospital efficiency. By using Tobit model, the study showed hospital size, Quality of care, value added per capita, and revenue per patient were closely related with hospital efficiency, However, it appeared that financial status of hospitals(i.e : making profit or not) was not related with hospital efficiency.
The purpose of this study was to investigate the factors that affect the performance of health insurance review department workers of Korean tertiary hospitals, general hospitals and hospitals. A survey was conducted through structured questionnaire for chiefs and members of health insurance review departments of hospitals, and data from 1,064 respondents were utilized in the final analysis. Survey items included general characteristics of the hospitals and health insurance review departments, job satisfaction and organizational commitment as organizational effectiveness. As multiple linear regression results, in the case of chiefs, the most significantly related factor to job satisfaction was a monthly salary. The other related factor was job stress. In the case of members, the most significantly related factor was job stress. The other related factors were more monthly salary, religious believer, and less complex workplace, in order. As organizational commitment, in the case of chiefs, the most significantly related factor was a monthly salary. The other related factor was more clinical experience. In the case of members, the most significantly related factor was job stress. The other related factors were more monthly salary, tertiary hospitals, more age, and less complex workplace, in order.
Purpose: This study aimed to identify the factors affecting the practice of medical waste management of nurses in tertiary general hospitals after the coronavirus disease 2019 (COVID-19). Methods: The participants were 154 nurses working in two tertiary general hospitals. Data were collected using structured questionnaires and analyzed using an Independent t-test, One-way ANOVA, Scheffé test, Pearson correlation coefficients, and multiple regression analysis using the SPSS/WIN 27.0 program. Results: Factors significantly influencing the subject's practice of medical waste management include medical waste education(β=.18, p=.013), recognition of infection control organizational culture (β=.26, p=.007), and attitudes toward medical waste management (β=.23, p=.011). The explanatory power of these variables for medical waste management practice was 29.0% (F=7.34, p<.001). Conclusion: To improve the practice of medical waste management, a strategy to provide positive attitudes toward medical waste management should be needed when developing medical waste management training programs, and various measures are necessary to make the organizational culture positive for the implementation of infection control guidelines at the organizational level.
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.
Background: To assess the treatment pattern and expenditure incurred by cancer patients undergoing treatment at government tertiary hospitals in India. Materials and Methods: A cross-sectional study of 508 cancer patients randomly selected from tertiary cancer hospitals funded by central/state governments located in major cities of five states in India, namely Kerala, Maharashtra, Rajasthan, West Bengal and Mizoram, during March - May 2011 was conducted. Information related to direct costs, indirect costs and opportunity costs incurred on investigations and treatment, major source of payment and difficulties faced by patients during the course of treatment was collected. Results: About 45% of the patients used private health facilities as the first point of contact for cancer related diseases as against 32% in public hospitals. About 47% sought private health facilities for cancer investigations, 21% at district/sub-district hospitals, and about 4% contacted primary health care facilities. A majority of the patients (76%) faced financial problems while undergoing treatment. Conclusions: The results highlight the importance of involving the primary health care system in the cancer prevention activities.
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