Casal Corrine S, Lei Ann, Young Sera L, Tuthill Emily L
1 Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, USA.
2 Department of Anthropology, Northwestern University, Evanston, IL, USA.
J Hum Lact. 2017 Feb;33(1):21-47. doi: 10.1177/0890334416677029. Epub 2016 Dec 15.
Breastfeeding provides beneficial health outcomes for infants and their mothers, and increasing its practice is a national priority in many countries. Despite increasing support to exclusively breastfeed, the prevalence at 6 months remains low. Breastfeeding behavior is influenced by a myriad of determinants, including breastfeeding attitudes, knowledge, and social support. Effective measurement of these determinants is critical to provide optimal support for women throughout the breastfeeding period. However, there are a multitude of available instruments measuring these constructs, which makes identification of an appropriate instrument challenging. Research aim: Our aim was to identify and critically examine the existing instruments measuring breastfeeding attitudes, knowledge, and social support.
A total of 16 instruments was identified. Each instrument's purpose, theoretical underpinnings, and validity were analyzed.
An overview, validation and adaptation for use in other settings was assessed for each instrument. Depth of reporting and validation testing differed greatly between instruments.
Content, construct, and predictive validity were present for most but not all scales. When selecting and adapting instruments, attention should be paid to domains within the scale, number of items, and adaptation.
母乳喂养对婴儿及其母亲的健康有益,在许多国家,增加母乳喂养率是一项国家优先事项。尽管对纯母乳喂养的支持不断增加,但6个月时的母乳喂养普及率仍然很低。母乳喂养行为受到众多因素的影响,包括母乳喂养态度、知识和社会支持。有效测量这些因素对于在整个母乳喂养期间为女性提供最佳支持至关重要。然而,有许多可用的工具来测量这些构念,这使得识别合适的工具具有挑战性。研究目的:我们的目的是识别并严格审查现有的测量母乳喂养态度、知识和社会支持的工具。
共识别出16种工具。分析了每种工具的目的、理论基础和效度。
对每种工具进行了概述、效度评估以及在其他环境中使用的适用性评估。不同工具之间的报告深度和效度测试差异很大。
大多数但并非所有量表都具有内容效度、结构效度和预测效度。在选择和改编工具时,应注意量表中的领域、项目数量和改编情况。