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通过短信提供哺乳建议可发挥作用:通过双向短信进行互动强度分析。

Lactation Advice through Texting Can Help: An Analysis of Intensity of Engagement via Two-Way Text Messaging.

机构信息

a School of Medicine , Yale University , New Haven , CT , USA.

b Chinle Comprehensive Health Care Facility , Indian Health Service , Chinle , AZ , USA.

出版信息

J Health Commun. 2018;23(1):40-51. doi: 10.1080/10810730.2017.1401686. Epub 2017 Dec 13.

Abstract

Rates of breastfeeding initiation and duration among women who attend the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) are dramatically lower than nonparticipants. Innovative solutions are needed to improve breastfeeding rates in this population. The Lactation Advice through Texting Can Help (LATCH) study was one such approach, designed to augment and reinforce the WIC breastfeeding peer counseling process. The purpose of the present study was to examine engagement via two-way text messaging in a sample of women attending the WIC breastfeeding peer counseling program and enrolled in LATCH. The objectives were to: (1) describe text message engagement in the context of LATCH; and (2) assess the association between engagement variables and exclusive breastfeeding status. Text messaging data were first coded qualitatively by two independent researchers and engagement variables created. An analysis of engagement was conducted using descriptive statistics for normally distributed data and binary logistic regression. In the multivariable model, intensity of engagement during the first 2 weeks post partum was the single strongest predictor of exclusive breastfeeding status. LATCH is an innovative intervention designed to enhance the capacity of breastfeeding peer counselors and holds much potential for improving exclusive breastfeeding rates in this population.

摘要

参加妇女、婴儿和儿童特别补充营养计划(WIC)的女性开始母乳喂养的比例和持续时间明显低于未参加者。需要创新的解决方案来提高这一人群的母乳喂养率。哺乳咨询短信辅助(LATCH)研究就是这样一种方法,旨在增强和加强 WIC 的母乳喂养同伴咨询过程。本研究的目的是通过对参加 WIC 母乳喂养同伴咨询计划并参加 LATCH 的女性样本进行双向短信交流来检查参与度。具体目标是:(1)在 LATCH 背景下描述短信交流参与度;(2)评估参与度变量与纯母乳喂养状况之间的关系。首先由两名独立研究人员对短信数据进行定性编码,并创建参与度变量。使用描述性统计数据对正态分布数据和二项逻辑回归进行了参与度分析。在多变量模型中,产后前 2 周的参与度强度是纯母乳喂养状况的唯一最强预测因子。LATCH 是一项创新的干预措施,旨在增强母乳喂养同伴咨询师的能力,对于提高这一人群的纯母乳喂养率具有很大的潜力。

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