
Effect of Health Failure Mode and Effect Analysis in Optimizing the Management Process of Postoperative Diabetes Insipidus in Children Undergoing Neurosurgery
Huiyun ZHAO, Xiaoying XU, Bo WU, Shi TANG, Xinmeng LI
Acta Academiae Medicinae Sinicae ›› 2025, Vol. 47 ›› Issue (4) : 582-589.
Abbreviation (ISO4): Acta Academiae Medicinae Sinicae
Editor in chief: Xuetao CAO
Effect of Health Failure Mode and Effect Analysis in Optimizing the Management Process of Postoperative Diabetes Insipidus in Children Undergoing Neurosurgery
Objective To investigate the effect of health failure mode and effect analysis(HFMEA)in optimizing the management process of postoperative diabetes insipidus in children undergoing neurosurgery.Methods Based on HFMEA,a management flowchart for postoperative diabetes insipidus in children undergoing neurosurgery was created.Brainstorming was adopted to identify failure modes in the workflow,analyze risk factors,and develop improvement measures,thereby refining the management flowchart.The amelioration and prognosis of diabetes insipidus in these children before(October 2022 to November 2023)and after(January 2024 to February 2025)implementation of the management flowchart were compared.Results The HFMEA-based management process for postoperative diabetes insipidus in children undergoing neurosurgery alleviated the symptoms of diabetes insipidus regarding the number of diabetes insipidus in the pediatric intensive care unit(P=0.006),the average daily urine output in the pediatric intensive care unit(P=0.001),the proportion of electrolyte abnormalities at discharge/transfer(P=0.037),the duration of mechanical ventilation(P=0.007),and the length of stay in the intensive care unit(P=0.001).Conclusion The HFMEA-based management process for postoperative diabetes insipidus in children undergoing neurosurgery is beneficial to the optimization of the management process,the alleviation of postoperative diabetes insipidus,and the improvement of prognosis in these children.
health failure mode and effect analysis / children undergoing neurosurgery / diabetes insipidus / management process optimization
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