A Mobile App to Promote Breastfeeding Self-Efficacy in Preterm Infants’ Mothers: Development and Validation

Author:

Curan Gabriela Ramos Ferreira1ORCID,do Nascimento Olavo Pereira2ORCID,Bergamo João Alex de Oliveira2,Koga Camila Akemi de Lima3,Silva Ricardo Inacio Alvares e4,Ferreira Daniel Ramos35,Denobi Clarice Borges Lucas5,Castral Thaila Correa6,Fonseca Luciana Mara Monti7,Rossetto Edilaine Giovanini1

Affiliation:

1. Nursing Department, Health Sciences Center, State University of Londrina, Londrina, Brazil

2. Department of Computing, State University of Londrina, Londrina, Brazil

3. Bachelor in Software Engineering

4. Masters in Computer Science

5. State University of Londrina, Londrina, Brazil

6. Nursing Faculty of the Federal University of Goiás, Goiania, Brazil

7. Department of Maternal-Child Nursing and Public Health, University of São Paulo, Ribeirão Preto, Brazil

Abstract

Improving breastfeeding rates is a global goal. To achieve it, actions targeting modifiable factors that influence the breastfeeding experience, such as maternal self-efficacy, could be a promising path, especially with preterm infants’ mothers. Considering the current ubiquitous technology, we developed a mobile application for mothers of preterm infants to constitute a breastfeeding information and support platform. The study was developed in three phases: a survey to determine characteristics and preferences of preterm infants’ mothers; the app development by an interdisciplinary team, following the principles of Disciplined Agile Delivery; and the face and content validation by 10 professionals. The app contains 80 screens and 11 strategies to address prematurity, lactation, breastfeeding, peer support, maternal emotions, resilience, and motivation. Nurses can apply their expertise by designing mHealth-based interventions, employing scientific evidence, and considering the interests and preferences of the target population. Future studies will assess the user experience, the effect on breastfeeding self-efficacy, and breastfeeding rates, and develop a culturally adapted English version of the app for women in Canada.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

CoordenaÇão de AperfeiÇoamento de Pessoal de Nível Superior

Publisher

SAGE Publications

Subject

General Nursing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3