引用本文:廖 蓉,罗尧岳,李亚敏,杨 卉.移动医疗对妊娠期糖尿病患者应用效果的meta分析[J].中国临床新医学,2024,17(4):457-466.
【打印本页】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 123次   下载 312 本文二维码信息
码上扫一扫!
分享到: 微信 更多
移动医疗对妊娠期糖尿病患者应用效果的meta分析
廖 蓉1,罗尧岳1,李亚敏2,杨 卉2
1.湖南中医药大学护理学院,长沙 410208;2.中南大学湘雅二医院护理教研室,长沙 410000
摘要:
[摘要] 目的 通过meta分析评价移动医疗对妊娠期糖尿病(GDM)患者的应用效果。方法 使用计算机检索PubMed、Embase、the Cochrane Library、Web of Science、中国知网、万方数据知识服务平台、维普期刊资源整合服务平台等中英文数据库中关于移动医疗对GDM患者应用效果的随机对照试验(RCT)文献,检索时间为从建库至2023年11月。由2名研究者独立筛选文献、提取资料并评价纳入文献质量,采用Review Manager 5.4和STATA 17.0统计软件进行meta分析。结果 共纳入16篇文献,包括2 394例GDM患者。meta分析结果显示,与对照组相比,试验组空腹血糖水平[MD(95%CI)=-0.99(-1.64~-0.35)]、糖化血红蛋白水平[MD(95%CI)=-0.60(-0.93~-0.27)]、体重增长值[MD(95%CI)=-1.09(-2.13~-0.05)]、剖宫产发生风险[OR(95%CI)=0.61(0.46~0.82)]、巨大儿发生风险[OR(95%CI)=0.38(0.24~0.59)]、新生儿低血糖发生风险[OR(95%CI)=0.41(0.28~0.61)]较低,差异均有统计学意义(P<0.05)。亚组分析结果显示,移动医疗不同干预类型均可降低GDM患者空腹血糖、糖化血红蛋白水平,差异均有统计学意义(P<0.05)。结论 移动医疗可降低GDM患者空腹血糖、糖化血红蛋白水平以及不良妊娠结局的发生风险,值得临床推广。
关键词:  移动医疗  妊娠期糖尿病  护理  meta分析  循证护理学
DOI:10.3969/j.issn.1674-3806.2024.04.20
分类号:R 473
基金项目:湖南省自然科学基金项目(编号:2023JJ70053)
Application effect of mobile healthcare on gestational diabetes mellitus patients: a meta-analysis
LIAO Rong1, LUO Yaoyue1, LI Yamin2, YANG Hui2
1.School of Nursing, Hunan University of Chinese Medicine, Changsha 410208, China; 2.Nursing Teaching and Research Section, the Second Xiangya Hospital of Central South University, Changsha 410000, China
Abstract:
[Abstract] Objective To evaluate the application effect of mobile healthcare on gestational diabetes mellitus(GDM) patients by using meta-analysis. Methods The Chinese and English databases such as PubMed, Embase, the Cochrane Library, Web of Science, China National Knowledge Infrastructure(CNKI), Wanfang Data Knowledge Service Platform and VIP Journals Resource Integration Service Platform(VIP) were retrieved by using a computer. Randomized controlled trial(RCT) literature about the application effect of mobile healthcare on GDM patients from the time when the databases were established to November 2023 was retrieved. A meta-analysis was performed by using Review Manager 5.4 and STATA 17.0 statistical software after 2 researchers independently screened the literature, extracted information and evaluated the quality of the included literature. Results A total of 16 papers were included, in which 2 394 GDM patients were included. The results of the meta-analysis showed that compared with the control group, the experimental group had low levels of fasting blood glucose[MD(95%CI)=-0.99(-1.64--0.35)], glycated hemoglobin[MD(95%CI)=-0.60(-0.93--0.27)], value of weight gain[MD(95%CI)=-1.09(-2.13--0.05)], risk of cesarean section[OR(95%CI)=0.61(0.46-0.82)], risk of macrosomia[OR(95%CI)=0.38(0.24-0.59)] and risk of hypoglycemia in newborns[OR(95%CI)=0.41(0.28-0.61)], and the differences were statistically significant(P<0.05). The results of subgroup analysis showed that different intervention types of mobile healthcare could reduce the levels of fasting blood glucose and glycated hemoglobin in the GDM patients, and the differences were statistically significant(P<0.05). Conclusion Mobile healthcare can reduce the levels of fasting blood glucose and glycated hemoglobin, and the risk of adverse pregnancy outcomes in GDM patients, and is worthy of clinical promotion.
Key words:  Mobile healthcare  Gestational diabetes mellitus  Nursing  Meta analysis  Evidence-based nursing