Journal of Korean Academy of Nursing Administration
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v.14
no.4
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pp.404-412
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2008
Purpose: To analyse hospital nurse staffing level of the general nursing unit, ICU, ER and OR in general hospitals. Method: The study sample was 105 acute general hospitals which had reported the bed size and number of nurses by the nursing units. Number of bed per nurse was analysed by the hospital characteristics and the staffing levels of the doctors and the nursing assistant personnels using t-test or ANOVA and Pearson's correlation. Results: Number of bed per nurse was 3.86 in general nursing units and 0.95 in ICU. Tertiary hospitals employed more nurses in general nursing units and ICU than general hospitals. Hospitals located in Seoul and public hospitals employed more ICU nurses. OR nurse staffing level was higher in academic hospitals. Hospital size was positively correlated with nurse staffing level of the general nursing unit, ICU, ER and OR respectively. Total nurse staffing level of the hospital was positively correlated with doctor and nursing assistant personnels staffing levels. Conclusion : Differentiated nursing fee schedule was needed to implement in ER or OR. Regulation policy should be needed for the hospitals which violated hospital nurse staffing level of the law.
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.
The purpose of this study was to examine the current satisfaction levels with nurse uniforms at Taizhou General Hospital in China and to find areas for improvement in order to develop nurse uniforms with improved comfort, fit and convenience. To investigate satisfaction with nurse uniforms, a survey was conducted of 150 nurses. The general characteristics of the nurses, uniform conditions, feelings of satisfaction, fit, preferred designs, inconvenient aspects of the uniforms, and areas for improvement were analyzed. Eight materials of cotton/polyester blended fabrics were selected according to Chinese nurse uniform regulations, and the physical properties of the materials were tested along with the materials used in current nurse uniforms. Four new nurse uniforms with increased aesthetics, functionality, and comfort were developed based on the survey results. Materials with excellent absorption, moisture permeability, and ventilation were used as main fabrics. According to the preferred designs of nurses at Taizhou City General Hospital, China, 4 types of nurse uniforms designed, consisting of design 1 (shirt and pants), design 2 (shirt and pants), design 3 (dress), and design 4 (shirt and skirt). The new nurse uniforms offered better functionality with an improved fit at the armpits, waist, hips, and knees based on product measurements.
Purpose: Korean health insurance extended application of the Diagnosis Related Groups (DRG) payment system to tertiary and general hospitals from July, 2013. This study was done to develop a DRG fee adjustment mechanism applied to levels of nurse staffing to assure quality nursing service. Methods: Nurse stafffing grades among hospitals in Korea were analyzed. Differences and ratio of inpatient costs by nurse staffing grades in DRG fees and differences of DRG fee between tertiary and general hospitals were compared. Results: In 2013, nurse staffing grades in tertiary and general hospitals had improved, but other hospital nurse staffing grades remained at the 2001 level. Gaps of inpatient costs between first and seventh nurse staffing grades were over 10% in 4 out of 7 DRG diagnosis; However differences of DRG fee between tertiary and general hospitals were only 4.51% and 4.72% respectively. A DRG fee adjustment mechanism was developed that included nurse staffing grades and hospitalization days as factors of the formula. Conclusion: Current DRG fees motivate hospitals to decrease nurse staffing grades because cost reduction is bigger than compensation. This DRG fee adjustment mechanism reflects nurse staffing supply to motivate hospitals to hire more nurses as a reasonable compensation system.
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.
Park, Bo Hyun;Lee, Tae Jin;Park, Hyeung-Keun;Kim, Chul-Woung;Jeong, Baek-Geun;Lee, Sang-Yi
Health Policy and Management
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v.22
no.3
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pp.297-314
/
2012
Purpose : The purpose of this study was to analyze the trend of the number of nursing staffs and skill mix and to assess the effectiveness of hospital nurse expansion policies in Korea. Methods : The trend of the number of nursing staffs and skill mix were analyzed using time series data, which composed of yearly series data from 1975 to 2009. The impact of hospital nurse expansion policies was estimated by autoregressive integrated moving average(ARIMA) intervention model. Results : The number of general hospital and hospital nurses per 100 beds was decreased in late 1980s and late 1990s due to rapid growth of beds. As a result of the number of nurse aids per 100 beds decreased, skill mix became high in general hospital but nurse ratio among hospital nursing staffs was about 50%. Expansion of new nurse and revised differentiated inpatient fee were only effective in expansion of hospital nursing staffs. But they had no effect in general hospitals. Conclusion : In Korea, a few policies related to expansion of hospital nurses have an effect on increasing the number of hospital nurse. Nevertheless, level of hospital nursing staffs is inferior to that of general hospital.
Kim, Yun Mi;Kim, Ji Yun;June, Kyung Ja;Ham, Eun Ock
Journal of Korean Clinical Nursing Research
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v.16
no.3
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pp.99-109
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2010
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: The purpose of this study is to investigate the association between the nurse staffing level and the patient mortality using Korean National Health Insurance data. Methods: The data of 1,068,059 patients from 913 hospitals between 2015 and 2016 were analyzed. The nurse staffing level was categorized based on the bed-to-nurse ratio in general wards, intensive care units (ICUs), and hospitals overall. The x2 test and generalized estimating equations (GEE) multilevel multivariate logistic regression analyses were used to explore in-hospital mortality and 30-day mortality after admission. Results: The in-hospital mortality rate was 2.9% and 30-day mortality after admission rate was 3.0%. Odd Ratios (ORs) for in-hospital mortality were statistically lower in general wards with a bed-to-nurse ratio of less than 3.5 compared to that with 6.0 or more (OR=0.72, 95% CI=0.63~0.84) and in ICUs with a bed-to-nurse ratio of less than 0.88 compared to that with 1.25 or more (OR=0.78, 95% CI=0.66~0.92). ORs for 30-day mortality after admission were statistically lower in general wards with a bed-to-nurse ratio of less than 3.5 compared to that with 6.0 or more (OR=0.83, 95% CI=0.73~0.94) and in ICUs with a bed-to-nurse ratio of less than 0.63 compared to that with 1.25 or more (OR=0.85, 95% CI=0.72~1.00). Conclusion: To reduce the patient mortality, it is necessary to ensure a sufficient number of nurses by improving the nursing fee system according to the nurse staffing level.
Kim, Yun-Mi;Cho, Sung-Hyun;Jun, Kyung-Ja;Go, Su-Kyung
Health Policy and Management
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v.17
no.2
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pp.68-90
/
2007
Nurse staffing level is an important factor that influences the quality of health service and patient outcomes. This study was carried out to examine the current state of acute hospital nurse staffing and find out factors that affect the nurse staffing level. Nurse staffing of individual hospitals was measured using the number of registered nurses per 100 beds. Descriptive and multiple regression analyses were conducted using 592 acute care hospitals' data. Regression model included structure factors such as referral level, ownership, medical and general staffing, and financial outcome factors such as occupancy rate, inpatient and outpatient revenues. Market characteristics included strength of competition, supply of nurses, and income and health status level of consumers. The average number of nurses per 100 beds was 28 and showed a great variation according to the referral level. Regression model explained this variation as much as 76.87%. Hospital structure variables which affecting the hospital nurse staffing level positively were ICU bed ratio, the staffing level of specialist, training doctor and employees except doctor and nursing personnel, while the negative factor was nurse aid staffing level. General hospitals employed more nurses than hospitals. Among outcome characteristics, occupancy rate and the amount of health insurance inpatient revenue affected positively on the hospital nurse staffing level. The more supply of the new nurse and the higher consumer income and health status in the medical service markets, the more nurses were employed by the medical institutes. According to the study result, hospitals employed more nurses when they had more financial incentive by increasing nurses. This means appropriate hospital incentive policy and regulation policy, which hospital violate nurse staffing level have to pay penality, should be needed. Clarifying job description between nurses and nurse aids and the reentry program for unemployed experienced nurses will be helpful to increase nurse staffing level.
This study attempts to evaluate the interior space of outpatient department of general hospital in aspects of nurses. The subjects are 97 nurses who work in outpatient department of H general hospital, Busan. Evaluating items are ones related to space layout, furniture, interior climate, color and finishes of outpatient department. Also, evaluating spaces are waiting area, doctor's room, treatment room, nurse station, and resting and dressing area for nurses in outpatient department. The results are ; 1) The space layout type of outpatient area in general hospital which each department consists of waiting area, doctors offices, treatment room and etc. was evaluated positively by nurses. 2) The waiting area and doctor's room was evaluated relatively positive, the treatment room was more negatively than these two rooms. But nurse related spaces such as nurse station and resting and dressing room were evaluated relatively negative. 3) In aspects of interior elements, furniture, and color and finishes were rated to be relatively positive. However, air conditions were rated negatively. 4) The finishes and dressing area in treatment room were rated relatively low. This would be a basic data for planning the outpatient area of general hospital.
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