Purpose This study aimed to not only examine the changes in working hours and labor intensity, but also investigate their effects on sleep difficulties of shift work nurses. Methods Data from the 3rd (2011) to the 6th (2020) Korean Working Condition Surveys were analyzed, and the final sample included data of 514 nurses. Working time was measured considering nurses’ weekly working hours, number of night shifts, and number of days in a month when they worked more than 10 hours a day. Labor intensity included labor density, emotional labor, and work interruption. Sleep difficulty was measured using three items in 5th and 6th surveys. Results Weekly working hours, and long working days tended to decrease with the flow of the year, while work density, emotional labor, and work interruption tended to increase. Number of long working days, work density, and work interruption were found to produce a sleep difficulty effect in nurses. Conclusion To avoid sleep difficulties in nurses, adequate nurse staffing is required to prevent long working hours, and work density and work interruption need to be considered when determining the nurses’ workload.
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Purpose To analyze the changes in nurse staffing grades and to estimate the revenue growth generated by applying government guidelines for improving nurses’ working conditions.
Methods: Staffing grades, ranging from grade 1 (highest) to 7 (lowest), for 2018 and 2020 were analyzed for 326 general hospitals (GHs) and 1,419 non-general hospitals (NGHs). The annual revenue growth per nurse generated by changing inpatient nursing care fee schedules and newly introducing night shift nursing fees were estimated.
Results: Grade 1 GHs increased from 6.9% in 2018 to 39.6% in 2020, whereas grades 6-7 decreased from 31.8% to 17.6%. NGHs with grades 6-7 decreased from 81.8% to 61.6%. GHs and NGHs with no reported staffing grades decreased from 10.6% to 0% and from 63.2% to 14.8%, respectively. The estimated annual revenue growth per nurse from inpatient nursing care fees resulting from 1-grade improvements in staffing was 1.44~7.26 million Korean won (KRW) and 1.25~9.75 million KRW for GHs and NGHs, respectively, while the results from night shift nursing fees were 2.37~5.54 million KRW and 2.20~5.14 million KRW for GHs and NGHs, respectively.
Conclusion: The increased revenues should be utilized to augment nurses’ wages and staffing levels as the guidelines recommend.
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Purpose To analyze the effects of average length of stay (ALOS) on RN staffing.
Methods: Public data of patient surveys collected 8 times between 1996 and 2016 were analyzed. The sample included 2,408,669 discharged patients from 2,266 general hospitals. The ALOS for each hospital was computed by dividing the sum of inpatient days by the number of discharges. RN staffing was defined as the number of RNs per 100 inpatients. ALOS was transformed into base-2 logarithmic values for regression analysis.
Results: ALOS decreased from 13.3 to 9.6 days.
Large hospitals in the capital region had the greatest reduction, from 15.7 to 7.4 days. RN staffing increased from 32.7 to 54.8 RNs per 100 patients. ALOS had an inverse relationship with RN staffing. Controlling for other factors, a 50% reduction in ALOS was associated with increases in RN staffing by 12.18 and 13.72 RNs per 100 inpatients in large hospitals in the capital region and elsewhere, respectively.
Conclusion: Hospitals may have to increase staffing to respond to the increased workload resulting from the shortened ALOS. It remains uncertain whether such increases in staffing were sufficient for the increased workload. Changes in ALOS should be taken into account when determining appropriate staffing.
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