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实施一种新工具以收集初级保健诊所中婴儿的母乳喂养数据。

Implementation of a Novel Tool to Collect Milk Feeding Data on Infants in Primary Care Clinics.

机构信息

Division of General Pediatrics and Adolescent Health, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA.

Duke Health Technology Solutions, Durham, NC, USA.

出版信息

Clin Pediatr (Phila). 2022 Nov;61(11):768-775. doi: 10.1177/00099228221101002. Epub 2022 Jun 6.

Abstract

We aimed to capture milk feeding type in real time in a racially and socioeconomically diverse population. An electronic tool to assess milk feeding type at every medical visit for children aged 0 to 2 years was designed and incorporated into nursing workflows. The Milk Box tool was successfully added to the electronic clinical workspace of a large health system. There were eight clinics, with diverse characteristics, which incorporated the use of the Milk Box tool over 12 months. Time to 50% uptake of Milk Box varied from 3 to 5 months. Time to >80% uptake varied from 6 to 8 months. Our results show that Milk Box can be quickly incorporated into a clinical workflow when the team is given appropriate training and support. The tool also allows a primary care practice to study local breast milk consumption trends and to provide both individualized and system-level lactation support.

摘要

我们旨在实时捕捉不同种族和社会经济背景人群的母乳喂养类型。我们设计了一种电子工具,用于在儿童 0 至 2 岁期间的每次医疗访问中评估母乳喂养类型,并将其纳入护理工作流程。该 Milk Box 工具已成功添加到大型医疗系统的电子临床工作空间中。有八个诊所,具有不同的特点,在 12 个月的时间里使用了 Milk Box 工具。达到 50%使用率的时间从 3 到 5 个月不等。达到 >80%使用率的时间从 6 到 8 个月不等。我们的研究结果表明,当团队获得适当的培训和支持时,Milk Box 可以快速纳入临床工作流程。该工具还允许基层医疗实践研究当地母乳消费趋势,并为个人和系统层面提供母乳喂养支持。

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