在流行病学研究中确定喘状况:行政卫生数据和自我报告之间的比较
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Updated: Jul 17, 2025

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Methodology for Sputum Induction and Laboratory Processing
Published on: December 17, 2017
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Marie-Claude Rousseau1,2, Florence Conus3,4, Mariam El-Zein3,5
1Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique (INRS), Laval, QC, Canada. marie-claude.rousseau@inrs.ca.
BMC medical research methodology
|September 7, 2023
概括
这项研究发现,行政卫生数据和自我报告的喘诊断之间存在很好的一致性,特别是在30年数据窗口的情况下. 这些发现支持在人口健康研究中使用这两种数据源.
科学领域:
- 流行病学 流行病学
- 医疗保健服务研究 医疗服务研究
- 数据科学在健康中的数据科学
背景情况:
- 之前的研究表明,行政卫生数据和自我报告的喘之间相当一致.
- 对喘状况的长期行政健康数据未得到充分利用.
- 这项研究解决了长期协议评估的需要.
研究的目的:
- 从30年的行政健康数据和自我报告中评估喘状态之间的一致性.
- 确定影响这两个数据源之间一致性的因素.
主要方法:
- 从北克出生队列中利用了30年的行政健康数据 (1983-2012).
- 通过电话采访从1643名参与者收集了自我报告的喘数据.
- 将五种算法应用于行政数据,并计算协议比例和卡帕统计数据.
主要成果:
- 根据行政数据算法,喘患病率在49-55%之间.
- 自我报告的喘患病率为49% (曾经有过) 和47% (医生诊断).
- 协议比例为88-91%,卡帕值从0.57到0.67,为30年/住院算法最高.
结论:
- 从行政卫生数据和自我报告中获得的喘状况之间存在良好的一致性.
- 与之前的研究相比,30年的回顾期可能增加了同意.
- 支持在以人口为基础的流行病学研究中综合使用行政和自我报告数据.
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