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协调辅助技术评估数据:尼泊尔的一个案例研究

Jamie Danemayer1, Ben Oldfrey1, Pratisthit Lal Shrestha2

  • 1Global Disabilty Innovation Hub, University College London, UK.

Studies in health technology and informatics
|August 28, 2023
PubMed
概括

从尼泊尔的多项调查中协调辅助技术 (AT) 数据,创建了一个统一的数据集. 这种方法可以进行趋势分析,以更好地理解和满足不同人群不断变化的AT需求.

科学领域:

  • 公共卫生 公共卫生
  • 数据科学数据科学数据科学
  • 关于残疾人的研究.

背景情况:

  • 在不断变化的人口中,了解辅助技术 (AT) 的需求至关重要.
  • 整合不同的数据集可以揭示新的见解,但需要数据协调.
  • 现有的AT数据通常存在于单独的,不可比较的调查中.

研究的目的:

  • 探索协调辅助技术 (AT) 评估数据的潜力.
  • 从多个基于人口的调查中创建一个统一的纵向数据集.
  • 展示一种在动态人群中对AT需求的趋势分析方法.

主要方法:

  • 来自尼泊尔三个基于人口的调查的协调AT评估数据:残疾人的生活条件 (2014-2015年),多指标集群调查 (2019年) 和快速辅助技术评估 (2022年).
  • 将不同年份的数据整合到单一的纵向数据集中.
  • 开发了一种方法来统一不同的AT调查数据.

主要成果:

  • 从三个不同的AT调查中成功创建了一个统一的数据集.
  • 统一的数据集使得用于监测AT需求的趋势分析成为可能.
  • 这种方法证明了定位不同数据集的价值.
关键词:
统一化 统一化 统一化统计匹配的统计匹配.调查数据 调查数据 调查数据

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结论:

  • 数据协调是整合多个AT调查的一个有价值的方法.
  • 证明的方法可以在其他环境中用于AT需求评估.
  • 建议进一步验证拟议的协调方法.