Yu Mi, Kim Se Young, Ryu Ji Min
College of Nursing, Institute of Health Sciences, Gyeongsang National University, Jinju, Korea.
Department of Nursing, Changwon National University, Changwon, Korea.
J Korean Acad Nurs. 2023 Apr;53(2):236-248. doi: 10.4040/jkan.22110.
Nursing informatics competency is used to manage and improve the delivery of safe, high-quality, and efficient healthcare services in accordance with best practices and professional and regulatory standards. This study examined the relationship between nursing informatics competency (NIC), nursing care left undone, and nurse reported quality of care (NQoC) and nursing productivity. A path model for their effects on nursing productivity among clinical nurses was also established.
Data were collected using structured questionnaires answered by 192 nurses working in a tertiary hospital located in J city, Korea, and analyzed using SPSS/WIN 23.0 and AMOS 21.0 program.
The fit indices of the alternative path model satisfied recommended levels χ² = .11 ( = .741), normed χ² (χ²/df) = .11, SRMR = .01, RMSEA = .00, GFI = 1.00, NFI = 1.00, AIC = 18.11. Among the variables, NIC (β = .44, < .001), NQoC (β = .35, < .001) had a direct effect on nursing productivity. Due to the mediating effect of NQoC on the relationship between NIC and nursing productivity, the effect size was .14 (95% CI .08.24). Meanwhile, nursing care left undone through NQoC in the relationship between NIC and nursing productivity, has a significant mediation effect (estimate .01, 95% CI .00.03). The explanatory power of variables was 44.0%.
Education and training for enhancing NIC should be provided to improve nursing productivity, quality of care and to reduce missed nursing care. Furthermore, monitoring the quality of nursing care and using it as a productivity index is essential.
护理信息学能力用于依据最佳实践以及专业和监管标准来管理和改善安全、高质量且高效的医疗服务提供。本研究考察了护理信息学能力(NIC)、未完成的护理工作、护士报告的护理质量(NQoC)与护理生产力之间的关系。还建立了一个关于它们对临床护士护理生产力影响的路径模型。
使用结构化问卷收集数据,问卷由韩国J市一家三级医院的192名护士作答,并使用SPSS/WIN 23.0和AMOS 21.0程序进行分析。
替代路径模型的拟合指数满足推荐水平,χ² = 0.11(p = 0.741),标准化χ²(χ²/df)= 0.11,SRMR = 0.01,RMSEA = 0.00,GFI = 1.00,NFI = 1.00,AIC = 18.11。在这些变量中,NIC(β = 0.44,p < 0.001)、NQoC(β = 0.35,p < 0.001)对护理生产力有直接影响。由于NQoC在NIC与护理生产力关系中起中介作用,效应大小为0.14(95%CI 0.080.24)。同时,在NIC与护理生产力关系中,通过NQoC产生的未完成的护理工作具有显著的中介作用(估计值0.01,95%CI 0.000.03)。变量的解释力为44.0%。
应提供增强NIC的教育和培训,以提高护理生产力、护理质量并减少遗漏的护理工作。此外,监测护理质量并将其用作生产力指标至关重要。