ABSTRACT
Objective:Use linear programming model to predict the allocation of surgical nursing human resources, and optimize the allocation of nursing staff.Methods:This study was a controlled clinical trial. A total of 91 nurses from 5 surgical departments in Affiliated Hospital of Qingdao University were selected by convenience sampling method. The nurses who participated in the scheduling in August and September 2020 were the routine scheduling groups, and in March and April 2021 were the linear scheduling groups. The linear programming model of surgical nursing human resources was established. The LINGO 11.0 software was used to calculate the minimum number of nurses required for the next day operation. According to the predicted results and the requirements of the operation specialty and rank level, the surgical staff was arranged for the next day. The overtime hours of nurses in the routine scheduling groups and the linear scheduling groups were compared and analyzed.Results:The number of on-duty nurses was the same in 4 groups, the overtime hours of the conventional scheduling groups in August and September 2020 and the linear scheduling groups in March and April 2021 were 865 (505, 1 435), 780 (475, 1 355), 650 (460, 910) and 720 (350, 915) min, the difference of overtime hours was statistically significant ( H=13.66, P<0.05). The overtime hours of the routine scheduling group in August 2020 were significantly different from those of the linear scheduling group in March 2021 and April 2021 respectively ( Z=-2.69, -2.55, both P<0.05). The overtime hours of the routine scheduling group in September 2020 were significantly different from those of the linear scheduling group in March 2021 and April 2021 respectively ( Z=-2.62, -2.58, both P<0.05). Conclusions:The linear programming model was used to predict the human resource allocation of surgical nursing staff, optimized the allocation of operating room human resources. It reduced the overtime hours of surgical nursing staff effectively. Indirectly, it accelerated operations, improved operation efficiency and ensured the safety of patients.