Effects of intelligent voice follow-up system in elderly patients with diabetes
10.3760/cma.j.cn115682-20230221-00628
- VernacularTitle:智能化语音随访系统在老年糖尿病患者中的应用
- Author:
Xiaoya XING
1
;
Xiaoling QU
;
Jinwei QIU
;
Yuanyuan LI
Author Information
1. 首都医科大学附属北京友谊医院医疗保健中心，北京 100032
- Keywords:
Diabetes mellitus, type 2;
Aged;
Intelligent voice;
Follow-up;
Compliance
- From:
Chinese Journal of Modern Nursing
2023;29(23):3179-3184
- CountryChina
- Language:Chinese
-
Abstract:
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.
