Gabhart Julia M, Wasio Lina N, U-Thaiwat Panupong, Chen Yi W, Main James
Department of Pediatrics and Pediatric Hospital Medicine, Kaiser Permanente South Sacramento Medical Center, Sacramento, CA, USA.
Department of Medical Office Controllers, Analytics Consultant Team, Kaiser Permanente South Sacramento Medical Center, Sacramento, CA, USA.
J Hum Lact. 2025 Feb;41(1):145-155. doi: 10.1177/08903344241297607. Epub 2024 Nov 26.
Web-based prenatal education is increasingly employed, but its association with increased breastfeeding and predictors of breastfeeding success is uncertain.
Our primary aim was to evaluate our live, online intervention's association with exclusive breastfeeding at hospital discharge. Secondarily, we aimed to describe participants' reports of the intervention on predictors of breastfeeding success.
We used a retrospective quasi-experimental cohort design to assess the association between our intervention and exclusive breastfeeding at discharge. The intervention consisted of an evidence-based live, online, 2-hour class open to all prenatal patients and supporters at our urban community medical center from June 2020 through April 2022. Patient characteristics and breastfeeding rates were extracted from the electronic medical record. Samples were drawn using stratified random sampling. Three logistic regression models were conducted to assess the associations between the intervention and exclusive breastfeeding. Two surveys assessed the participant reports of the intervention.
Samples of the first model, comprised of 160 participants and 160 non-participants, were similar in important characteristics. Participants were 2.12 times (95% CI [1.12, 3.69]) more likely to exclusively breastfeed. Participants reported positively on the impacts of the intervention on breastfeeding predictors.
Our live, online intervention was significantly associated with an increased likelihood of exclusive breastfeeding at hospital discharge. A randomized, prospective examination of the intervention's association with breastfeeding duration would further define its impact.
基于网络的产前教育应用越来越广泛，但其与母乳喂养增加及母乳喂养成功的预测因素之间的关联尚不确定。
我们的主要目的是评估我们的实时在线干预与出院时纯母乳喂养之间的关联。其次，我们旨在描述参与者关于该干预对母乳喂养成功预测因素的报告。
我们采用回顾性准实验队列设计来评估我们的干预与出院时纯母乳喂养之间的关联。该干预包括一个基于证据的实时在线2小时课程，从2020年6月至2022年4月对我们城市社区医疗中心的所有产前患者及其支持者开放。从电子病历中提取患者特征和母乳喂养率。采用分层随机抽样抽取样本。进行了三个逻辑回归模型来评估干预与纯母乳喂养之间的关联。两项调查评估了参与者对该干预的报告。
第一个模型的样本包括160名参与者和160名非参与者，在重要特征方面相似。参与者纯母乳喂养的可能性高2.12倍（95%置信区间[1.12, 3.69]）。参与者对该干预对母乳喂养预测因素的影响给予了积极评价。
我们的实时在线干预与出院时纯母乳喂养可能性增加显著相关。对该干预与母乳喂养持续时间之间的关联进行随机、前瞻性研究将进一步明确其影响。
