Literature DB >> 26194599

Efficacy of e-technologies in improving breastfeeding outcomes among perinatal women: a meta-analysis.

Ying Lau1, Tha P Htun1, Wai S W Tam1, Piyanee Klainin-Yobas1.   

Abstract

A growing line of research has highlighted that e-technologies may play a promising role in improving breastfeeding outcomes. The objective of this review was to synthesise the best of available evidence by conducting a meta-analysis to evaluate whether e-technologies have had any effect in improving breastfeeding outcomes among perinatal women. The review was conducted using nine electronic databases to search for English-language research studies from 2007 to 2014. A 'risk of bias' table was used to assess methodological quality. Meta-analysis was performed with the RevMan software. The Q test and I(2) test was used to assess the heterogeneity. The test of overall effect was assessed using z-statistics at P < 0.05. Of 1842 studies identified through electronic searches and reference lists, 16 experimental studies were selected after applying the inclusion and exclusion criteria. Half of the selected studies had a low risk of bias, from which a total of 5505 women in six countries in these studies were included. Meta-analyses revealed that e-technologies significantly improved exclusive breastfeeding initiation (z = 6.90, P < 0.00001), exclusive breastfeeding at 4 weeks (z = 2.12, P = 0.03) and 6 months (z = 3.2, P = 0.001), breastfeeding attitude (z = 3.01, P = 0.003) and breastfeeding knowledge (z = 4.54, P = < 0.00001) in subgroup analyses. This review provides support for the development of web-based, texting messaging, compact disc read-only memory, electronic prompts and interactive computer agent interventions for promoting and supporting breastfeeding.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  breastfeeding; e-technology; meta-analysis; perinatal women

Mesh:

Year:  2015        PMID: 26194599      PMCID: PMC6860104          DOI: 10.1111/mcn.12202

Source DB:  PubMed          Journal:  Matern Child Nutr        ISSN: 1740-8695            Impact factor:   3.092


  46 in total

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  11 in total

Review 1.  Efficacy of e-technologies in improving breastfeeding outcomes among perinatal women: a meta-analysis.

Authors:  Ying Lau; Tha P Htun; Wai S W Tam; Piyanee Klainin-Yobas
Journal:  Matern Child Nutr       Date:  2015-07-21       Impact factor: 3.092

Review 2.  Mobile Phone Applications to Support Breastfeeding Among African-American Women: a Scoping Review.

Authors:  Bethel Mieso; Mandy Neudecker; Lydia Furman
Journal:  J Racial Ethn Health Disparities       Date:  2020-11-20

3.  Feasibility, acceptability, and preliminary impact of an mHealth supported breastfeeding peer counselor intervention in rural India.

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Journal:  Int J Gynaecol Obstet       Date:  2021-02-20       Impact factor: 3.561

4.  Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study.

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5.  Information and Communication Systems to Tackle Barriers to Breastfeeding: Systematic Search and Review.

Authors:  Kymeng Tang; Kathrin Gerling; Wei Chen; Luc Geurts
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6.  Feasibility and Acceptability of an Online WhatsApp Support Group on Breastfeeding: Protocol for a Randomized Controlled Trial.

Authors:  Kris Yw Lok; Rachel Wt Ko; Heidi Sl Fan; P H Chau; Janet Yh Wong; M P Wang; Vicky Tsang
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Review 7.  What works to protect, promote and support breastfeeding on a large scale: A review of reviews.

Authors:  Cecília Tomori; Sonia Hernández-Cordero; Natalie Busath; Purnima Menon; Rafael Pérez-Escamilla
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Review 9.  Effectiveness of Internet-Based Electronic Technology Interventions on Breastfeeding Outcomes: Systematic Review.

Authors:  Alaa Ali Almohanna; Khin Than Win; Shahla Meedya
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10.  Comparing a Mobile Phone Automated System With a Paper and Email Data Collection System: Substudy Within a Randomized Controlled Trial.

Authors:  Diana M Bond; Jeremy Hammond; Antonia W Shand; Natasha Nassar
Journal:  JMIR Mhealth Uhealth       Date:  2020-08-25       Impact factor: 4.773

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