Effects of group personalized nursing intervention based on IMB model in high-risk population of gestational diabetes mellitus
10.3760/cma.j.cn115682-20191130-04358
- VernacularTitle:基于IMB模型的小组个性化护理干预在妊娠期糖尿病高危人群中的应用
- Author:
Ying WANG
1
;
Hua BAI
;
Fengzhi ZHANG
;
Shanshan DOU
Author Information
1. 郑州大学第三附属医院护理部，郑州 450052
- Keywords:
Pregnancy;
Gestational diabetes mellitus;
IMB model;
High-risk population;
Group personalized intervention
- From:
Chinese Journal of Modern Nursing
2020;26(21):2837-2842
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the preventive effects of group personalized nursing intervention based on IMB model in high-risk population of gestational diabetes mellitus (GDM) .Methods:Totally 130 high-risk patients with GDM who created medical files and planned to labor in the Third Affiliated Hospital of Zhengzhou University from November 2018 to January 2019 were selected by convenient sampling. Excluding 2 patients with threatened abortion, 9 who did not labor in our hospital, and 3 with invalid questionnaires, finally 116 pregnant women were included, who were divided into the observation group ( n=57) and the control group ( n=59) according to the random number table. Pregnant women in the control group received routine care based on IMB model, while pregnant women in the observation group were divided into several subgroups, including overweight/obesity, advance age, GDM history, and family history groups, with 6-10 cases in each subgroup. Personalized nursing intervention for high-risk factors and lifestyles were provided for different subgroups. The self-made GDM Knowledge Questionnaire, incidence of GDM, oral glucose tolerance test (OGTT) results, weight gain during pregnancy, and pregnancy outcome were used to compare the effects of intervention between the two groups. Results:There was no significant difference in GDM knowledge scores between the two groups before intervention ( P>0.05) , while there was statistically significant difference in GDM knowledge scores between the two groups after intervention ( P<0.01) . The weight gain of the observation group was (13.03±5.58) kg, which was lower than (16.02±4.92) kg of the control group, and the difference was statistically significant ( t=3.068, P=0.003) . The incidence of GDM in the observation group was 12.28%, lower than 28.81% in the control group, and the difference was statistically significant ( P<0.05) . After the OGTT, there was no statistically significant difference in fasting blood glucose between the two groups ( P>0.05) ; there was statistically significant difference between the blood glucose values of the two groups 1 and 2 hours after taking sugar ( P<0.05) . There was no statistically significant difference in the incidence of cesarean section, premature delivery, gestational hypertension, premature rupture of fetal membranes, giant infants, and neonatal hypoglycemia between the two groups ( P>0.05) . Conclusions:Group personalized nursing intervention based on the IMB model is helpful to improve the knowledge level of high-risk population of GDM, and reduce the incidence of GDM and weight gain during pregnancy, and its effects on pregnancy outcome need to be further explored.
