Wu Xia, Liu Yu
Department of Gynecology, Second Hospital of Tianjin Medical University, Tianjin, China.
Afr Health Sci. 2025 Jun;25(2):241-249. doi: 10.4314/ahs.v25i2.29.
Addressing nursing resource challenges in obstetrics and gynecology, this study employs decision tree analysis within nursing vertical management to enhance allocation efficiency and patient care. This study aimed to assess the efficacy of employing decision tree analysis within nursing vertical management for allocating obstetrics and gynecology nurses.
Sixty-one obstetrics and gynecology nurses were included in the study from January to December 2022 at our hospital. The control group, from January to June 2022, underwent routine nurse allocation management, while the observation group, from July to December 2022, experienced nurse allocation based on nursing vertical management using decision tree analysis. Nursing quality scores and satisfaction with allocation were statistically compared between the groups. Additionally, obstetrics and gynecology nursing level, illness matching rate, nursing quality scores, and patient satisfaction were evaluated.
The observation group showed significantly higher nursing quality scores and greater satisfaction with allocation compared to the control group. Moreover, the observation group exhibited higher obstetrics and gynecology nursing levels, illness matching rates, nursing quality scores, and patient satisfaction compared to the control group, all with statistical significance (P<0.05).
Implementing the decision tree analysis method within nursing vertical management notably enhanced both satisfaction levels and the quality of care among obstetrics and gynecology nurses. It outperformed traditional deployment management, ensuring improved nursing work quality and heightened patient satisfaction. This approach is pivotal for fostering harmonious nurse-patient relationships and deserves widespread adoption.
为应对妇产科护理资源挑战，本研究在护理垂直管理中采用决策树分析，以提高资源分配效率和患者护理质量。本研究旨在评估在护理垂直管理中运用决策树分析来分配妇产科护士的效果。
2022年1月至12月，我院61名妇产科护士纳入本研究。对照组在2022年1月至6月接受常规护士分配管理，观察组在2022年7月至12月基于护理垂直管理采用决策树分析进行护士分配。对两组的护理质量得分和分配满意度进行统计学比较。此外，还评估了妇产科护理水平、病情匹配率、护理质量得分和患者满意度。
与对照组相比，观察组的护理质量得分显著更高，对分配的满意度也更高。此外，观察组的妇产科护理水平、病情匹配率、护理质量得分和患者满意度均高于对照组，差异均有统计学意义（P<0.05）。
在护理垂直管理中实施决策树分析方法显著提高了妇产科护士的满意度和护理质量。它优于传统的调配管理，确保了护理工作质量的提高和患者满意度的提升。这种方法对于促进和谐的护患关系至关重要，值得广泛采用。
