目的 探究基于谵妄预测模型的风险分级护理对老年手术患者的护理价值.方法 便利选取2022年9月—2023年9月南京市江宁医院收治的116例老年手术患者为研究对象,采用密闭信封法分为对照组(n= 58)、研究组(n=58).两组均行手术治疗,对照组术后行常规护理干预,研究组结合基于谵妄预测模型的风险分级护理.对比两组术后谵妄发生率,术后1、3、5 d视觉模拟评分法(Visual Analogue Scale,VAS)评分,护理干预前及护理2周,对比匹兹堡睡眠质量指数(Pittsburgh Sleep Quality Index,PSQI)及生活质量简表(World Health Organization Quality of Life-100,WHOQOL-100)评分.结果 研究组谵妄发生率为3.45%,低于对照组,差异有统计学意义(χ²=3.939,P=0.047);术后1、3、5 d,研究组VAS评分均低于对照组,差异有统计学意义(P均<0.001);护理2周后,研究组PSQI评分低于对照组,WHOQOL-100评分高于对照组,差异有统计学意义(P均<0.05).结论 老年手术患者行基于谵妄预测模型的风险分级护理价值显著,能够有效降低术后谵妄发生率,并缓解患者术后痛感,从而改善其睡眠质量,提高生活质量,对于患者康复有积极作用.
Analysis of the Value of Risk-graded Care Based on Delirium Prediction Model for the Care of Elderly Surgical Patients in General Surgery
Objective To investigate the value of risk-graded care based on delirium prediction model for the care of elderly surgical patients.Methods A total of 116 elderly surgical patients admitted to Nanjing Jiangning Hospital from September 2022 to September 2023 were conveniently selected as the study objects.They were divided into control group(n=58)and study group(n=58)by sealed envelope method.Both groups received surgical treatment,the control group received routine nursing intervention after surgery,and the study group combined with risk-graded nursing based on delirium prediction model.The incidence of postoperative delirium,Visual Analogue Scale(VAS)score at 1,3 and 5 days after surgery were compared between the two groups.The scores of Pittsburgh sleep quality index(PSQI)and the World Health Organization Quality of Life(WHOQOL-100)before nursing intervention and 2 weeks after nursing were compared.Results The incidence of delirium in the study group was 3.45%,which was lower than that in the control group,and the difference was statistically significant(χ²=3.939,P=0.047).The VAS scores of the study group were lower than those of the control group at 1,3 and 5 d after operation,and the differences were statistically significant(all P<0.001).After 2 weeks of nursing,the PSQI score of the study group was lower than that of the control group,and the WHOQOL-100 score was higher than that of the control group,and the differences were statistically significant(both P<0.05).Conclusion The value of risk-graded care based on delirium prediction model for elderly surgical patients is significant,which can effectively reduce the incidence of postoperative delirium and alleviate pa-tients'postoperative pain,thus improving their sleep quality and quality of life,and has a positive effect on patients'recovery.
Delirium prediction modelRisk-gradedElderly surgical patientsIncidence of deliriumSleep qualityQuality of life