关于最佳婴儿养量化数据框架的专家意见:英国的一项混合方法德尔菲式研究
Rochelle Embling1, Rachel Evans1, Niamh Mchugh1
1Health Improvement Division, Health & Wellbeing, Public Health Wales, Cardiff, UK.
概括
专家们就英国国家婴儿养数据的关键指标达成一致. 这一共识旨在改善母乳养监测和评估,使数据收集与国际标准和医疗保健实践保持一致.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 婴儿养数据收集需要在英国各个国家保持一致.
- 需要专家的共识来定义监测和评估母乳养的理想数据集.
- 目前的数据收集工作可能与国际标准或医疗保健实践不一致.
研究的目的:
- 为婴儿养数据收集定义一个理想的数据集.
- 在研究,政策和实践中的利益相关者之间达成共识.
- 协调英国各地的母乳养监测和评估工作.
主要方法:
- 德尔菲方法采用两个阶段的咨询.
- 涉及来自研究,政策和实践的42个跨学科利益相关者.
- 利用定性和定量调查,随后进行政策主导的讨论和书面回复.
主要成果:
- 在15个指标中的13个指标的定义和13个指标中的11个时间点上达成共识.
- 主要数据收集点包括哺乳的意图 (出生),早期开始 (0-10天),纯母乳养 (0-6个月),任何母乳养 (0-24个月) 和补充养 (6个月和12个月).
- 7个指标中有5个在第二阶段达成最终协议.
结论:
- 通过共识确定了婴儿养共享数据指标的简单清单.
- 这些指标提供了改善数据收集和与国际标准保持一致的机会.
- 这些发现支持数据改革,并与英国国家现有的监测框架和医疗保健实践保持一致.
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