开发一种工具,从澳大利亚原住民和托雷斯海峡岛民社区偏远商店的销售数据中报告关键饮食指标
Emma McMahon1,2, Megan Ferguson1,2,3, Thomas Wycherley4
1Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT 0810, Australia.
Nutrients
|April 13, 2024
概括
一个新的网络工具帮助偏远的澳大利亚土著商店跟踪销售数据,以促进更健康的食物选择. 这种饮食指标报告支持更好的商店政策和更健康的社区.
科学领域:
- 公共卫生 营养 公共卫生 营养
- 医疗信息学 医疗信息学
- 土著健康土著健康
背景情况:
- 偏远的土著和托雷斯海峡岛民社区在获得健康食品选择方面面临着独特的挑战.
- 商店决策者需要可访问的数据来实施有效的健康促进政策.
- 销售数据为了解饮食模式提供了一个有价值的,但往往未得到充分利用的资源.
研究的目的:
- 开发和评估基于商店销售数据的关键饮食指标的网络报告工具.
- 在偏远的澳大利亚土著社区的商店内支持促进健康的政策和实践.
- 为商店决策者提供有关客户购买行为的可操作见解.
主要方法:
- 基于31家远程商店的销售数据,确定了关键的饮食指标.
- 社区咨询了19名土著和托雷斯海峡岛民商店经理和2名商店经理.
- 开发一个在线门户网站,通过利益相关者采访进行定制报告生成和评估.
主要成果:
- 关键的饮食指标与澳大利亚饮食指南一致.
- 利益相关者报告了该工具在视觉吸引力,易于解释和提供新信息方面的优势.
- 确定的挑战包括定义健康性分类和确保决策者能够访问报告.
结论:
- 开发的网络工具可以有效地支持商店决策者识别和优先考虑营养问题.
- 该工具有可能提高偏远土著社区健康食品零售的能力.
- 需要进一步精细化,以使健康性分类协调一致,并确保有效地向相关利益相关者传播.
相关概念视频
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Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...


