| 초록 |
Background: The purpose of this study was to analyze the increase in Grade of Nursing Management Fee of medical institutions and establish a reasonable government policy by examining which factors affect the increase of nurse staffing. Methods: Analyzing data collected from the Health Insurance Review Assessment Service resource management department with targets of 1,104 medical institutions. The study period was 5 years from June 30, 2008 to June 30, 2013. SAS ver. 9.2 (SAS Institute Inc., Cary, NC, USA) was used for statistical analysis. The data was analyzed by a chi-square test and also conducted muiltivariate logistic regression analyses for variables of basic characteristics, human resource characteristics, and material resources. Results: Adjusted odds ratio (AOR) of the rise in Grade of Nursing Management Fee among other hospitals compared to hospitals owned by government or universities was 0.264. The AOR in hospitals established after November 2006 compared to those before June 1995 was 2.383. The AOR in Gangwon, Chungcheng South, and Jeolla South Provinces compared to Seoul was 0.084, 0.036, and 0.194, respectively. The AOR in hospitals with more than 6.75 specialists per 100 beds compared to those with less than 6.75 specialists per 100 beds was 7.514. The AOR in hospitals with more than 17.48 nurse per 100 beds compared to those with less than 17.48 nurse per 100 beds was 3.300. The AOR in hospitals with 50% to 75% bed utilization, 75% to 90% bed utilization and more than 90% bed utilization compared to those with less than 50% bed utilization was 5.428, 9.884, and 10.699, respectively. The AOR in hospitals with one magnetic resonance imaging (MRI) and more than two MRI compared to those with no MRI was 2.018 and 2.942, respectively. Conclusion: This result has showed policies to induce the rise in Grade of Nursing Management Fee among old hospitals and the incentive system for local medical institutions are needed. Also we need to develop a governmental policy for medium-small hospitals with low operation rate of beds and insufficient medical personnel and number of equipment in hospitals. |
