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健康体检中对糖尿病患者实施护理干预的效果分析
引用本文:潘爱英. 健康体检中对糖尿病患者实施护理干预的效果分析[J]. 糖尿病新世界, 2021, 0(4): 137-139
作者姓名:潘爱英
作者单位:福建省厦门市仙岳医院体检科
摘    要:目的 分析护理干预在糖尿病患者接受健康体检中的应用效果.方法 选取2019年6—12月于该院行健康体检的76例糖尿病患者,随机分为参照组与研究组,各38例,参照组实施常规护理,研究组实施护理干预,比较两组患者的血糖控制情况、心理状态评分以及并发症发生率.结果 护理后,研究组的空腹血糖、餐后2 h血糖水平(6.16±1....

关 键 词:健康体检  糖尿病  护理干预  血糖控制  并发症  效果分析

Analysis of the Effect of Nursing Intervention on Diabetic Patients in Health Checkup
PAN Ai-ying. Analysis of the Effect of Nursing Intervention on Diabetic Patients in Health Checkup[J]. Diabetes New World, 2021, 0(4): 137-139
Authors:PAN Ai-ying
Affiliation:(Department of Physical Examination,Xianyue Hospital,Xiamen,Fujian Province,361001 China)
Abstract:Objective To analyze the application effect of nursing intervention in diabetic patients undergoing health examination.Methods A total of 76 diabetic patients who were admitted to the hospital for physical examination from June to December 2019 were randomly divided into a reference group and a study group,with 38 cases in each group.The reference group was given routine care and the study group was given nursing intervention.The two groups were compared with the blood glucose control status,mental status score,and complication rate.Results After nursing,the fasting blood glucose and 2 h postprandial blood glucose levels(6.16±1.33)mmol/L and(10.46±1.66)mmol/L of the study group were significantly lower than those of the reference group(9.14±1.18)mmol/L,(13.33±1.28)mmol/L,and the complication rate of the study group was 5.3%,which was significantly lower than the reference group complication rate.The difference was statistically significant(P<0.05).Conclusion Carrying out nursing intervention for diabetic patients during health checkup can not only effectively control the patient's blood glucose level,improve their anxiety and depression and other negative emotions,but also reduce the incidence of complications in patients to a certain extent.
Keywords:Health checkup  Diabetes  Nursing intervention  Blood glucose control  Complications  Effect analysis
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