| U Ri Go | 2 Articles |
Purpose
To estimate the number of practicing nurses required to resolve staffing differences between capital and non-capital regions and analyze the relationship between regional differences in staffing and salary. Methods Using public data on population, patients, newly licensed nurses, practicing nurses, and annual salaries, regional differences were analyzed in newly licensed nurses per population, practicing nurses per population, practicing nurses per patient (i.e., staffing level), and salary. The number of additionally required practicing nurses was estimated by multiplying staffing differences by the number of patients in the lower-staffed region. Results During 2002~2022, 71,107 and 243,611 newly licensed nurses were supplied, while the number of practicing nurses increased by 91,886 and 88,070 in the capital and non-capital regions, respectively. The non-capital region had more practicing nurses per population, whereas the capital region had more practicing nurses per patient. In 2020, 31,330 practicing nurses were additionally required in the non-capital region. Salaries were higher in the capital region, and regional salary differences increased during 2011~2020. Regional salary differences were associated with regional staffing differences and the number of additionally required practicing nurses. Conclusion Government and health insurance policies are required to encourage hospitals in the non-capital region to improve staffing and salaries. Citations Citations to this article as recorded by
Purpose
To explore the relationship between nursing care needs and acuity based on the Korean Patient Classification System for Critical Care Nurses (KPCSC) and APACHE II, and to identify their prognostic value in predicting mortality. Methods A total of 617 patients admitted to a surgical intensive care unit in a tertiary hospital from January 1 to June 30, 2021 were included. The correlation between KPCSC and APACHE II scores, and their predictive power regarding mortality were examined. Results KPCSC and APACHE II scores showed a significant, positive correlation (r=.32, p<.001). The KPCSC score was significantly correlated with 10 out of 11 KPCSC categories and 2 out of 3 APACHE II domains, whereas the APACHE II score had a significant correlation with all APACHE II domains and only 4 out of 11 KPCSC categories. Both KPCSC and APACHE II demonstrated moderate discriminatory performance in predicting ICU and in-hospital death, and their AUC values were not significantly different. Conclusion KPCSC, reflecting the severity of illness, predicted mortality as well as APACHE II. However, KPCSC was found to consider factors other than severity, such as patient dependency, which substantiates its value as an assessment tool for nursing care needs. Citations Citations to this article as recorded by
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