在使用国家住院患者样本的研究中遵守方法标准
Rohan Khera1, Suveen Angraal2, Tyler Couch1
1Division of Cardiology, University of Texas Southwestern Medical Center, Dallas.
JAMA
|November 29, 2017
概括
大多数使用国家住院样本 (NIS) 数据库的研究没有遵循要求的研究实践. 这表明需要改善公共卫生研究的数据分析和解释策略.
科学领域:
- 医疗服务研究
- 公共卫生数据分析
- 生物统计学
背景情况:
- 像国家住院患者样本 (NIS) 这样的公开数据集提供了宝贵的研究机会.
- 然而,它们的独特结构需要特定的分析方法来准确解释.
- 遵守推的研究实践对于从这些数据中得出的结果的有效性至关重要.
研究的目的:
- 评估使用国家住院样本 (NIS) 数据库的研究中对基本研究实践的遵守.
- 确定NIS研究中与推方法的常见偏差.
- 通过大量公共卫生数据集,为提高研究质量制定战略.
主要方法:
- 一项观察性研究从2015年1月到2016年12月对使用NIS的120份出版物进行了系统审查.
- 研究被评估为遵守卫生保健研究和质量局 (AHRQ) 推的7项关键研究实践.
- 实践涉及数据解释,研究设计和数据分析,包括调查设计和数据结构变化的核算.
主要成果:
- 大多数审查的研究 (85%) 没有遵守至少一个要求的做法.
- 62%的研究偏离了两个或更多的基本研究实践.
- 常见的问题包括误解住院是独一无二的患者,不适当的州级分析,以及未能考虑NIS复杂调查设计和数据结构的变化.
结论:
- 大多数使用NIS数据库的最新出版物不符合要求的研究实践.
- 有必要制定和实施战略来提高与NIS进行的研究的质量和严格性.
- 调查结果表明,在使用其他大型,公开可用的健康数据集时,可能存在类似问题,因此需要进一步调查.
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