Cho, Sung-Hyun;Song, Kyung Ja;Park, Ihn Sook;Kim, Yeon Hee;Kim, Mi Soon;Gong, Da Hyun;You, Sun Ju;Ju, Young-Su
Journal of Korean Academy of Nursing Administration
/
v.23
no.2
/
pp.211-222
/
2017
Purpose: To develop staffing levels for nursing personnel (registered nurses and nursing assistants) to provide inpatients with integrated nursing care that includes, in addition to professional nursing care, personal care previously provided by patients' families or private caregivers. Methods: A time & motion study was conducted to observe nursing care activities and the time spent by nursing personnel, families, and private caregivers in 10 medical-surgical units. The Korean Patient Classification System-1 (KPCS-1) was used for the nurse manager survey conducted to measure staffing levels and patient needs for nursing care. Results: Current nurse to patient ratios from the time-motion study and the survey study were 1:10 and 1:11, respectively. Time spent in direct patient care by nursing personnel and family/private caregivers was 51 and 130 minutes per day, respectively. Direct nursing care hours correlated with KPCS-1 scores. Nursing personnel to patient ratio required to provide integrated inpatient care ranged from 1:3.9 to 1:6.1 in tertiary hospitals and from 1:4.4 to 1:6.0 in general hospitals. The functional nursing care delivery system had been implemented in 38.5% of the nursing units. Conclusion: Findings indicate that appropriate nurse staffing and efficient nursing care delivery systems are required to provide integrated inpatient nursing care.
Purpose: This study was to examine patient satisfaction related to an increase in nursing personnel staffing. Methods: The subjects of this study were 317 hospitalized patients in the general wards of a medical center in Kyungki Do. Data were collected at 2 and 8 months following an increase in nursing personnel in the hospital. Patient Satisfaction Scale developed by Lee(1986) and revised by Seo(2000) was used. The data were analyzed by descriptive analysis, t-test, ${\chi}2$ test, and one way ANOVA. Results: Although the patient satisfaction scores at 8 months were higher than the scores at 2 months, there were no significant differences in patient satisfaction between the two periods Among the patient satisfaction subscales, the scores of the education subscale at 8 months were marginally higher than at 2 months (t=-1.97, p=.050). Conclusions: Adequate nursing staffing is important in patient satisfaction and patient outcome. The results provide data that suggests a positive direction for nursing intervention and development of nursing professionals.
Kim, Yun-Mi;Cho, Sung-Hyun;Jun, Kyung-Ja;Go, Su-Kyung
Health Policy and Management
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v.17
no.2
/
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.
Kim, Yunmi;Cho, Sung-Hyun;June, Kyung Ja;Shin, Soon Ae;Kim, Jiyun
Journal of Korean Academy of Nursing
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v.42
no.5
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pp.719-729
/
2012
Purpose: This study was done to examine relationships between nurse staffing level and postsurgical patient outcomes using inpatient database from the National Health Insurance. Methods: Records of 111,491 patients who received one of 12 types of surgery between January and December, 2009 were identified and analyzed in this study. Nurse staffing level was measured using adjusted nurse staffing grades from 0 to 7. Patient outcomes were defined as in-hospital mortality, or pneumonia, sepsis, or urinary tract infection after surgery. Logistic regression analyses estimated by Generalized Estimation Model, were used to analyze the association between nurse staffing level and patient outcomes. Results: An inverse relationship was found between nurse staffing and patient mortality. Compared with patients who were cared for in hospitals with the highest nurse staffing (Grades 0-1), increases in the odds of dying were found in those with Grades 6-7 [OR (odds ratio)=2.99, 95% CI (confidence interval)=1.94-4.60], those with Grades 4-5 (OR=1.78, 95% CI=1.24-2.57) and those with Grades 2-3 (OR=1.57, 95% CI=1.25-1.98). Lower nurse staffing level was also associated with higher number of cases in pneumonia and sepsis. Conclusion: Policies for providing adequate nurse staffing is required to enhance quality of care and lead to better perioperative patient outcomes.
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.
Information on productivity of hospital personnel is required for optimum staffing and hospital management. This study deals with the quantitative aspects of workload of medical personnel in training hospitals by their specific characteristics. Specifically this study attempted to find relevant determinants of the productivity of medical personnel using multiple stepwise regression analysis based on data obtained from 135 training hospitals. The findings of this study were as follows: 1) Daily average number of outpatients and inpatients treated by a physician were 20.4 and 10.2, respectively. 2) Daily average number of patients cared by a nurse was 8.2. Daily average number of tests performed by pathologic technician and radiologic technician were 83.2 and 21.5, respectively. 3) Productivity of medical personnel were significantly different for the three groups of factors: hospital sire (number of beds, number of medical personnel per 100 beds): institutional characteristics (medical school affiliation, training type, profit status); and environmental factors (location, number of physician and beds per 1,000 population in the region). 4) The factors a(footing the productivity varied according to the types of medical profession: the number if beds, the number of physicians per 100 beds, training type, and profit status for physicians; the number of nurses per 100 beds, the number of beds, medical school affiliation for nurses; the number of physicians per 100 beds, the number of technicians per 100 beds, and ownership for pathologic technicians; the number o( technicians, training type, and the number of physicians per 100 beds for radiologic technician.
Purpose: The objective of this research was to explore levels of patient safety and safe nursing activities depending on the level of nurse staffing, in order to provide effective management of nurse personnel. Methods: The research was conducted with 455 nurses from eight hospitals in B city. Data were collected according to the level of nurse personnel from second (nurse vs. patient ratio of 2.0-2.5) to fifth (ratio of 3.5-4.0) rank. The survey tools were, 'Questionnaire on Patient Safety, a Hospital Survey on Patient Safety Culture developed by AHRQ (2007), and 'Questionnaire on Patient Safety Nursing Act, in which the questions were selected from nursing-related items (Medication 6 & Safety Nursing Assurance Act 4) in the Safety Evaluation developed by Evaluation Institute of Medical Institution. Data were analyzed with SPSS PC 12.0 program using descriptive statistics, $x^2$ test, ANCOVA and $Scheff{\grave{e}}$. Results: The nurses' overall cognition level on patient safety and safe nursing activities showed that nurses who are in the second and third rank had higher scores than those in lower ranks. Conclusion: The results of this study indicate that hospitals need a higher ratio level for nurse personnel in order to assure patient safety and safe nursing activities.
Purpose: The purpose of this study was to analyze the migration patterns of new nurses and experienced nurses and to identify the factors influencing inter-regional migration for solving regional imbalances of clinical nurses in South Korea. Methods: This study involved a secondary analysis of data from the Health Insurance Review and Assessment Service (HIRA). Data were analyzed using descriptive statistics and multiple logistic regression analysis. Results: New nurses tended to migrate from Kyunggi to Seoul. However, experienced nurses tended to migrate from Seoul and Chungchung to Kyunggi. Significant predictors of inter-regional migration among new nurses were location and nurse staffing grade of hospitals. Significant predictors of inter-regional migration among experienced nurses were location, hospital type, nurse staffing grade, ownership of hospitals and age of nurses. Conclusion: Inter-regional migration occupied a small portion of total hospital movement among clinical nurses. The regional imbalances of nurses were not caused by the migration from non-metropolitan areas to Seoul. Nurse shortage problems in the small and medium hospitals of the non-metropolitan area can be solved only through improvement of work environment.
Changing concepts of health care, are stimulating the demand for health care, thereby orienting society to health care rights to such an extent that they are deemed as fundamental ones inalienable to man. Concomitantly, qualitative as well as quantative improvement is being sought in the nursing service field. Today, efforts are being made in various areas, especially to qualitatively improve nursing services. A second issue concerns proper staffing. It is important to study staffing, in as much as it continues to be the most persistent and critical problem facing hospital nursing administrators today. It involves quantity, quality, and utilization of nursing personnel. A great deal of attention has been focused on this problem since mid 1930's when nursing services began to be felt as an important segment of hospital operation representing the largest single item of hospital budgets. Traditionally, the determination and allocation of nursing personnel resources has relied heavily on gloval approaches which make use of fixed staff-to-patient ratios. It has long been recognized that these ratios are insensitive to variations between institutions and among individual patients. Therefore, the aim of this thesis is to point to the urgent need for the development of methodology and criteria suited to the reality of Korea. The present research selected one place, the W Christian Hospital, and was conducted over a period 10 days from January, and nurses who were them on duty in their unit. The total num-her of patients surveyed was 1,426 and that of 354. The research represents many variables affecting the direct patient care time using the result from the direct observation method, then using a calculation method to estimate the relationship between the patients care time and selected variables in the hospital setting. The amount of direct patient care time varies with many factors, such 89 the patients age. diagnosis and time in hospital. Differences are also found from hospital, clinic to clinic, ward to ward, and even shift to shift. In this research, the calculation method of estimating the required member of nursing staff is obtained by dividing the time of productive patient care activity(with the time of patient care observed), by the sum of the productive time that each the staff can supply, i.e., 360 minutes, which is obtained by deducting the time for personal activities. The results indicate a substantial difference between the time of productive patient care observed directing and the time of the productive patient care estimated using calculating method. If we know accurately the time of the direct patient care on a shift, there required number of staff members calculated if the proper method can be determinded should be able the time of the direct patient care be estimated by the patient classification system, but this research has shown this system to be in accurate in Korea. There are differences in the recommended time of productive patient care and the required number of nursing staff depending upon which method is used. The calculated result is not very accurate, so more research is needed on the patient classification system.
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