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Association between the bed-to-nurse ratio and 30-day post-discharge mortality in patients undergoing surgery: a cross-sectional analysis using Korean administrative data
BMC Nursing ( IF 3.2 ) Pub Date : 2020-03-17 , DOI: 10.1186/s12912-020-0410-7
Yunmi Kim 1 , Hyun-Young Kim 2 , Eunyoung Cho 3
Affiliation  

The likelihood of inpatient mortality has been found to be reduced by increased nurse staffing in several settings, including general wards, emergency departments, and intensive care units. However, less research has investigated cases where patients die in the community setting due to a health problem that occurred after they were discharged post-surgery, because it is difficult to integrate hospital data and local community data. Therefore, this study investigated the association between the bed-to-nurse ratio and 30-day post-discharge mortality in patients undergoing surgery using national administrative data. The study analyzed data from 129,923 patients who underwent surgery between January 2014 and December 2015. The bed-to-nurse ratio was categorized as level 1 (less than 2.5), level 2 (2.5–3.4), level 3 (3.5–4.4), and level 4 (4.5 or greater). The chi-square test and GEE logistic regression analyses were used to explore the association between the bed-to-nurse ratio and 30-day post-discharge mortality. 1355 (0.01%) patients died within 30 days post-discharge. The 30-day post-discharge mortality rate in hospitals with a level 4 was 2.5%, representing a statistically significant difference from the rates of 0.8, 2 and 1.8% in hospitals with level 1, level 2, and level 3 staffing, respectively. In addition, the death rate was significantly lower at hospitals with a level 1 (OR = 0.62) or level 2 (OR = 0.63) bed-to-nurse ratio, using level 4 as reference. The results of this study are highly meaningful in that they underscore the necessity of in-hospital discharge nursing and continued post-discharge nursing care as a way to reduce post-discharge mortality risk. Furthermore, the relationship between nurse staffing levels and 30-day post-discharge mortality implies the need for a greater focus on discharge education. Policies are required to achieve proper nurse staffing levels in Korea, and thereby to enhance patient outcomes.

中文翻译:

接受手术的患者的床护士比与出院后 30 天死亡率之间的关系:使用韩国行政数据的横断面分析

已经发现,通过在包括普通病房、急诊科和重症监护病房在内的多种环境中增加护士人员配置,可以降低住院患者死亡的可能性。然而,很少有研究调查患者因手术后出院后出现的健康问题而在社区环境中死亡的案例,因为很难整合医院数据和当地社区数据。因此,本研究使用国家行政数据调查了接受手术的患者的床位护士比率与出院后 30 天死亡率之间的关系。该研究分析了 2014 年 1 月至 2015 年 12 月期间接受手术的 129,923 名患者的数据。床护士比分为 1 级(小于 2.5)、2 级(2.5-3.4)、3 级(3.5-4.4) , 和 4 级 (4. 5 或更大)。卡方检验和 GEE 逻辑回归分析用于探讨床护士比与出院后 30 天死亡率之间的关系。1355 (0.01%) 名患者在出院后 30 天内死亡。4 级医院出院后 30 天死亡率为 2.5%,与 1 级、2 级和 3 级人员配备医院分别为 0.8、2 和 1.8% 的死亡率差异有统计学意义。此外,以 4 级为参考,床与护士比为 1 级 (OR = 0.62) 或 2 级 (OR = 0.63) 的医院的死亡率显着降低。这项研究的结果非常有意义,因为它们强调了出院后护理和继续出院后护理作为降低出院后死亡风险的一种方式的必要性。此外,护士人员配备水平与出院后 30 天死亡率之间的关系意味着需要更加关注出院教育。需要制定政策以在韩国实现适当的护士人员配置水平,从而提高患者的治疗效果。
更新日期:2020-04-22
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