智能化语音随访系统在老年糖尿病患者中的应用

Effects of intelligent voice follow-up system in elderly patients with diabetes

目的探讨智能化语音随访系统在老年糖尿病患者中的应用效果。方法采用便利抽样法选择2021年3月—2022年6月在首都医科大学附属北京友谊医院医疗保健科住院的182例2型糖尿病患者,随机分为对照组和观察组,每组91例。对照组实施常规随访管理,观察组实施基于智能化语音随访系统的随访管理。比较两组的服药依从性、饮食行为依从性、空腹血糖和糖化血红蛋白水平。结果干预后观察组服药完全依从49例(53.85%),部分依从32例(35.16%),不依从10例(10.99%);对照组服药完全依从35例(38.46%),部分依从34例(37.36%),不依从22例(24.18%)。观察组的服药依从性优于对照组,差异有统计学意义(Z=2.502,P<0.05);且观察组干预后的服药依从性优于干预前,差异有统计学意义(Z=3.293,P<0.05)。干预后观察组饮食行为依从性量表各维度得分及总分均高于对照组及干预前,差异有统计学意义(P<0.05)。干预后观察组的空腹血糖和糖化血红蛋白均低于对照组及干预前,差异有统计学意义(P<0.05)。结论智能化语音随访系统可以有效提高老年糖尿病患者的服药依从性和饮食依从性,改善血糖控制水平,值得临床推广应用。

Objective To explore the effect of intelligent voice follow-up system in elderly patients with diabetes.Methods From March 2021 to June 2022,182 patients with type 2 diabetes hospitalized in the Healthcare Center of Beijing Friendship Hospital Affiliated to Capital Medical University were selected by convenience sampling.The patients were randomly divided into a control group and an observation group,with 91 cases in each group.The control group implemented routine follow-up management,while the observation group implemented follow-up management based on an intelligent voice follow-up system.The medication compliance,diet behavior compliance,fasting blood glucose and glycated hemoglobin were compared between the two groups.Results After intervention,49 cases(53.85%)in the observation group fully complied with medication,32 cases(35.16%)partially complied,and 10 cases(10.99%)did not comply.In the control group,35 cases(38.46%)fully complied with medication,34 cases(37.36%)partially complied,and 22 cases(24.18%)did not comply.The medication compliance of the observation group was better than that of the control group,with a statistically significant difference(Z=2.502,P<0.05).The medication compliance of the observation group after intervention was better than before intervention,with a statistically significant difference(Z=3.293,P<0.05).After intervention,the scores of all dimensions and total scores of the Dietary Behavior Compliance Scale in the observation group were higher than those in the control group and before intervention,with statistically significant differences(P<0.05).After the intervention,the fasting blood glucose and glycated hemoglobin in the observation group were lower than those in the control group and before the intervention,and the difference was statistically significant(P<0.05).Conclusions The intelligent voice follow-up system can effectively improve the medication compliance and diet compliance of elderly diabetes patients,and improve the blood glucose control,which is worthy of clinical practice.