Evidence map›Paper›PMID 31791295›Full record

ArticleBMC public health2019

The effectiveness of using a WeChat account to improve exclusive breastfeeding in Huzhu County Qinghai Province, China: protocol for a randomized control trial.

Qiong Wu, Yiwen Huang, Michelle Helena van Velthoven, Wei Wang, Suying Chang, Yanfeng Zhang

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Support for healthy breastfeeding mothers with healthy term babies.The Cochrane database of systematic reviews · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Qiong WuDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, No. 2 Yabao Road, Chaoyang District, Beijing, 100020, People's Republic of China.
Yiwen HuangDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, No. 2 Yabao Road, Chaoyang District, Beijing, 100020, People's Republic of China.
Michelle Helena van VelthovenDepartment of Paediatrics, Level 2, Children's Hospital, John Radcliffe, University of Oxford, Headington, Oxford, OX3 9DU, UK.
Wei WangDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, No. 2 Yabao Road, Chaoyang District, Beijing, 100020, People's Republic of China.
Suying ChangHealth and Nutrition, Water, Environment and Sanitation Section, UNICEF China, 12, Sanlitun Lu, Beijing, 100600, People's Republic of China. schang@unicef.org.
Yanfeng ZhangDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, No. 2 Yabao Road, Chaoyang District, Beijing, 100020, People's Republic of China. summyzh@126.com.ORCID http://orcid.org/0000-0003-2147-9594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn exclusive breastfeeding rate in the first 6 months of life of at least 50% is one of the six World Health Organization global nutrition targets for 2025. However, the exclusive breastfeeding rate in China is quite low and decreasing which makes it urgent to explore effective ways to reverse the current downward trend. As mobile technologies have rapidly developed, mobile communication apps such as WeChat (one of the largest social networking platforms in China) are well accepted and have the potential to improve health behaviors in a convenient way. The current paper describes the study protocol of a WeChat intervention that aims to promote breastfeeding in rural areas in China.

methodsThe study is designed as a randomized controlled trial in rural Qinghai Province, China. Women who are 14-36 weeks pregnant will be randomized to routine antenatal and postnatal care, or routine care plus the WeChat breastfeeding education. pregnant women with a severe disease and complications of pregnancy or HIV-1 will be excluded. Breastfeeding knowledge and promotion information will be delivered to the intervention group through a WeChat official account from 3 months pregnancy to 6 months postpartum. The outcome assessments are conducted at baseline through face-to-face interviews, and at one week, 1 month, 3 months and 6 months postpartum by telephone interviews. The primary outcome is difference in the exclusive breastfeeding rate at 1 month, 3 months, and 6 months postpartum between the intervention group and the control group. Secondary outcomes include the overall duration of any and exclusive breastfeeding across the first 6 months postpartum; mothers' knowledge of breastfeeding; the proportion of early initiation of breastfeeding; and the timing of the introduction of solid food to infants. Intention-to-treat-analysis will be used. Survival analysis will be used to compare the overall duration of any and exclusive breastfeeding between groups. DISCUSSION: This study is the first effort to promote exclusive breastfeeding through WeChat in China. Our results will provide scientific evidence for the effect of health education through WeChat on breastfeeding. Thereby this may offer a comprehensive intervention to promote exclusive breastfeeding in China and other settings.

trial registrationChinese Clinical Trial Registry -ChiCTR1800017364. Registered 26 July 2018. http://www.chictr.org.cn/showproj.aspx?proj=29325.

Indexed as

Internet-Based InterventionAdultBreast FeedingChinaFemaleHealth BehaviorHealth PromotionHumansInfantInfant, NewbornMobile ApplicationsMothersPostnatal CarePostpartum PeriodPregnancyPrenatal CareBreastfeedingExclusive breastfeedingMhealthRandomized controlled trialWeChat

Identifiers

PMID31791295
PMCPMC6889429

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.