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基于微信的干预措施支持中国母亲母乳喂养:一项随机对照试验方案。

WeChat-based intervention to support breastfeeding for Chinese mothers: protocol of a randomised controlled trial.

机构信息

Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.

School of Public Health, Curtin University, Perth, Australia.

出版信息

BMC Med Inform Decis Mak. 2020 Nov 19;20(1):300. doi: 10.1186/s12911-020-01322-8.

DOI:10.1186/s12911-020-01322-8
PMID:33213446
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7676472/
Abstract

BACKGROUND

Exclusive breastfeeding for the first 6 months of life is the optimal way to feed infants. However, recent studies suggest that exclusive breastfeeding rates in China remain low and are well below the recommended target. There has been evidence that a lack of awareness of, or exposure to, breastfeeding information is associated with poor breastfeeding practices. WeChat, the most widely used social networking platform in China, has shown some potential to promote health behaviours. We thus hypothesised that a breastfeeding intervention program delivered via WeChat would achieve at least a 10% increase in exclusive breastfeeding prevalence at 6 months compared to the control group.

METHODS

A two-arm, parallel, multicentre randomised controlled trial of 1000 pregnant women will be conducted at four maternity hospitals of Chengdu, China. Eligible women who consent to participate in the trial will be recruited at 28-30 weeks of gestation, and randomly allocated to either the intervention group (participants receive breastfeeding-related information from WeChat) or the control group (participants receive non-breastfeeding information from WeChat) using a central randomisation system on a 1:1 ratio at each participating site. The primary outcomes are exclusive breastfeeding rate and full breastfeeding rate at 6 months postpartum. All randomised participants will be included in the outcome analyses with missing data being imputed based on the best-case and worst-case scenarios. Multilevel mixed regression models will be used in the primary analyses to assess the effectiveness of intervention program on the breastfeeding rates.

DISCUSSION

This trial uses the most widely used social media program as a means of delivering messages to mothers to increase exclusive breastfeeding in China. Increasing exclusive breastfeeding will contribute to meeting the health and environmental goals of the Sustainable Development Guidelines. Trial registration ClinicalTrials.gov, NCT04499404. Registered 5 August 2020-Retrospectively registered, https://clinicaltrials.gov/show/NCT04499404.

摘要

背景

在生命的头 6 个月内进行纯母乳喂养是喂养婴儿的最佳方式。然而,最近的研究表明,中国的纯母乳喂养率仍然很低,远低于建议的目标。有证据表明,缺乏对母乳喂养信息的认识或接触与不良的母乳喂养行为有关。微信是中国使用最广泛的社交网络平台,它在促进健康行为方面显示出了一定的潜力。因此,我们假设通过微信提供母乳喂养干预方案,与对照组相比,6 个月时纯母乳喂养率至少会增加 10%。

方法

在中国成都的四家妇产科医院进行一项两臂、平行、多中心随机对照试验,纳入 1000 名孕妇。符合条件的同意参与试验的孕妇将在 28-30 孕周时招募,并使用中央随机系统按 1:1 的比例随机分配至干预组(参与者从微信获得母乳喂养相关信息)或对照组(参与者从微信获得非母乳喂养信息)。主要结局是产后 6 个月的纯母乳喂养率和完全母乳喂养率。所有随机参与者都将纳入结局分析,缺失数据将根据最佳情况和最差情况进行插补。多水平混合回归模型将用于主要分析,以评估干预方案对母乳喂养率的有效性。

讨论

本试验使用最广泛使用的社交媒体程序作为向母亲传递信息的手段,以增加中国的纯母乳喂养率。增加纯母乳喂养率将有助于实现《可持续发展目标指南》的健康和环境目标。试验注册ClinicalTrials.gov,NCT04499404。于 2020 年 8 月 5 日注册-回顾性注册,https://clinicaltrials.gov/show/NCT04499404。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1475/7678111/0464deb5d519/12911_2020_1322_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1475/7678111/d0298c66b5b0/12911_2020_1322_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1475/7678111/0464deb5d519/12911_2020_1322_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1475/7678111/d0298c66b5b0/12911_2020_1322_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1475/7678111/0464deb5d519/12911_2020_1322_Fig2_HTML.jpg

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