Department of Industrial Engineering, School of Business Administration, Northeastern University, Shenyang, China.
College of Management and Economics, Tianjin University, Tianjin, China.
Work. 2023;74(1):247-254. doi: 10.3233/WOR-211392.
Medication administration errors by nurses form a high proportion of medical errors in medical institutions. Studies have shown that such errors are closely linked to nursing workload.
To quantitatively explore the effects of different types of nursing workloads on different medication administration errors.
Three medical institutions were selected as the objects of error data collection based on the following criteria: the medical institution experience in error data collection, the complete range of medical departments, and the institution size. Error cases were self-reported from all nurses in all medical departments. The relationship between the error types and nursing workload types were quantitatively examined using partial least squares and structural equation modeling.
The study recorded 290 medication administration errors, and extracted four error types and nine nursing workload types. The workload type for each error type was also identified and the path coefficient was found to be between 0.087 to 0.416.
This study confirmed the effect of workload on medication administration errors and determined a theoretical mechanism for this effect. Research results will provide the evidence for nursing managers to reduce workload and ensure quality in the nursing administration process.
护士给药错误在医疗机构的医疗差错中占很大比例。研究表明,这些错误与护理工作量密切相关。
定量探讨不同类型的护理工作量对不同给药错误的影响。
根据医疗机构在差错数据收集方面的经验、医疗科室的全面性以及机构规模,选择了 3 家医疗机构作为错误数据收集的对象。所有科室的护士都自行报告差错案例。使用偏最小二乘法和结构方程模型定量检验错误类型与护理工作量类型之间的关系。
本研究共记录了 290 例给药错误,提取了 4 种错误类型和 9 种护理工作量类型。还确定了每种错误类型的工作量类型,并发现路径系数在 0.087 到 0.416 之间。
本研究证实了工作量对给药错误的影响,并确定了这种影响的理论机制。研究结果将为护理管理人员在护理管理过程中减少工作量和确保质量提供依据。