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- Title
Effect of online intervention mode on breastfeeding results: a systematic review and meta-analysis.
- Authors
Sun, Yue; Gao, Yutong; Zhu, Zhiling; Zhu, Lili
- Abstract
Objective: To evaluate the effect of Internet based intervention model on breastfeeding knowledge, attitude, self-confidence and breastfeeding rate. Methods: An electronic literature search of PubMed, Embase, Web of Science, Cochrane Library, CINAHL, CNKI, Wanfang, CBM and VIP database was performed using combinations of the keywords "Breastfeeding," "Breastfeeding, Exclusive," "Internet," "Online," and "Website". The retrieval period was from their inception to March 31, 2023. Quality appraisal was performed using the Cochrane 5.1 for randomized controlled trials (RCTs). RevMan5.3 was used for data analysis. Results: Thirty-two studies were included in the review, with a total of 9514 samples. The results of Meta-analysis showed that, compared with routine nursing, the intervention model based on the Internet can effectively improve breastfeeding knowledge and attitude of pregnant women, improve breastfeeding self-confidence (P < 0.05), and improve the rate of exclusive breastfeeding in the short term (within 6 weeks) and the long-term postpartum (3–6 months) had a positive effect on the rate of exclusive breastfeeding (P < 0.05). Conclusions: The Internet breastfeeding intervention model may be an effective intervention to improve the effect of exclusive breastfeeding. In the future, more high-quality, large-sample randomized controlled trials can be carried out to further explore the effect of the Internet intervention model on breastfeeding.
- Subjects
ONLINE information services; MEDICAL databases; CINAHL database; EVALUATION of human services programs; ATTITUDES toward breastfeeding; CONFIDENCE; META-analysis; MEDICAL information storage &; retrieval systems; BREASTFEEDING promotion; INTERNET; SYSTEMATIC reviews; MEDICAL care; HEALTH literacy; BREASTFEEDING; DESCRIPTIVE statistics; MEDLINE; DATA analysis software
- Publication
Reproductive Health, 2023, Vol 20, Issue 1, p1
- ISSN
1742-4755
- Publication type
Article
- DOI
10.1186/s12978-023-01701-0