Effect of Transitional Care Model on Low Birth Weight Premature Infants: a meta-analysis

• 作者: Ming Sang Ting-Ting Liu Xiao-Li Pang Ya-Nan Leng Yu-Qi Li
• 来源期刊: TMR医学数据挖掘
• 学科: 医学
• 关键词: Transitional CARE PREMATURE INFANTS GROWTH and DEVELOPMENT META-ANALYSIS
• 年，卷（期）: 2019,（3）
• 页码范围: 90-99
• 页数: 10页
• 分类号: R

摘要

Objective: To systematically review the effect of Transitional Care model (TCM) on the growth and development of premature infants. Methods: Randomized controlled trials (RCTs) or quasi-RTCs regarding the effect of TCM in low birth weight premature infants were retrieved in electronic databases such as the Cochrane Library, PubMed, EMbase, Web of Science, CBM (Chinese Biomedicine Database), CNKI (China National Knowledge Infrastructure), VIP (Chinese Scientific Journals Database) and Wanfang Database. Then, we adopted RevMan 5.3 software to perform a meta-analysis. Results: A total of 11 articles were included, including 1282 preterm infants. The result showed that compared with the routine care model, TCM can effectively increase the weight when premature infants discharged one week [MD=225.57, 95%CI (171.78, 279.37), P<0.001], increase the weight after discharged one month [MD=0.89, 95%CI (0.72, 1.06), P<0.001], increase the weight after discharged three months [MD=670.44, 95%CI (527.65, 813.23), P<0.001], promote the height of newborns [MD=4.54, 95%CI (2.42, 6.65), P<0.001], reduce readmission rate [RR=0.38, 95%CI (0.25, 0.58), P<0.001], alleviate adverse skin reactions [RR=0.33, 95%CI (0.22, 0.50), P<0.001], increase nursing satisfaction of the families [RR=1.21, 95%CI (1.13, 1.31), P<0.001]. Conclusion: TCM can effectively promote the growth and development of the low birth weight premature infants, reduce the hospital readmission rate, alleviate adverse skin reactions of premature infants and improve the nursing satisfaction of the families. However, due to the limitation of the region and quality of the included studies, which the accuracy of the result still be treated with more caution. Further high-quality studies are needed to verify the conclusion.