医学
母乳喂养
荟萃分析
随机对照试验
家庭医学
产科
儿科
内科学
作者
Morteza Ghojazadeh,Sakineh Hajebrahimi,Fatemeh Pournaghi Azar,Mohammad Mohseni,Naser Derakhshani,Saber Azami-Aghdash
出处
期刊:Reviews on Recent Clinical Trials
[Bentham Science]
日期:2019-01-30
卷期号:14 (1): 31-40
被引量:21
标识
DOI:10.2174/1574887113666180924165844
摘要
Evaluating the effect of Kangaroo Mother Care (KMC) on breastfeeding success shows conflicting results. Regarding the importance of breastfeeding and uncertainties about its effect, this study intended to conduct a systematic review and meta-analysis of randomised controlled trials on the effect of KMC on success of breastfeeding.In this systematic review and meta-analysis study, required data were collected by searching the following keywords: breastfeeding, Breast-Feeding, "skin-to-skin", "Kangaroo Mother Care", randomized clinical trial. The following databases were searched: Google Scholar, PubMed, EMBASE, Scopus, and Cochrane Central Register of Controlled Trials. Two authors independently extracted the data. To estimate the Breast-Feeding outcome variables, CMA2 software was used. The risk of bias of studies was assessed with the criteria developed in the Cochrane Handbook.Twenty articles were included. In the KMC and CNC groups, 1,432 and 1,410 neonates were examined. Breastfeeding success rate was higher in the KMC group within different time slots, however this difference was not statistically significant (RR=1.11(95CI, 0.93-1.34) and RR=1.13(95%CI, 0.92-1.34) based on the time slot and birth weight, respectively). The inter-groups differences in the mean scores of Infant Breast-Feeding Assessment Tool (IBFAT) were statistically significant (P<0.05). Breastfeeding was initiated very sooner in the KMC group, suggesting a statistically significant inter-groups difference -0.72(95%CI, from -0.92 to -0.53) (P<0.05). Majority of the studies had a high risk of bias.Findings indicated a superiority of KMC over CNC in terms of breastfeeding success. Assessment of the complications and costs of KMC implementation is recommended.
科研通智能强力驱动
Strongly Powered by AbleSci AI