...
首页> 外文期刊>BMC Neurology >The University of Texas Houston Stroke Registry (UTHSR): implementation of enhanced data quality assurance procedures improves data quality
【24h】

The University of Texas Houston Stroke Registry (UTHSR): implementation of enhanced data quality assurance procedures improves data quality

机译:德克萨斯大学休斯顿中风注册中心(UTHSR):实施增强的数据质量保证程序可提高数据质量

获取原文
           

摘要

Background Limited information has been published regarding standard quality assurance (QA) procedures for stroke registries. We share our experience regarding the establishment of enhanced QA procedures for the University of Texas Houston Stroke Registry (UTHSR) and evaluate whether these QA procedures have improved data quality in UTHSR. Methods All 5093 patient records that were ed and entered in UTHSR, between January 1, 2008 and December 31, 2011, were considered in this study. We conducted reliability and validity studies. For reliability and validity of data captured by ors, a random subset of 30 records was used for re-ion of select key variables by two ors. These 30 records were re-ed by a team of experts that included a vascular neurologist clinician as the “gold standard”. We assessed inter-rater reliability (IRR) between the two ors as well as validity of each or with the “gold standard”. Depending on the scale of variables, IRR was assessed with Kappa or intra-class correlations (ICC) using a 2-way, random effects ANOVA. For assessment of validity of data in UTHSR we re-ed another set of 85 patient records for which all discrepant entries were adjudicated by a vascular neurology fellow clinician and added to the set of our “gold standard”. We assessed level of agreement between the registry data and the “gold standard” as well as sensitivity and specificity. We used logistic regression to compare error rates for different years to assess whether a significant improvement in data quality has been achieved during 2008–2011. Results The error rate dropped significantly, from 4.8% in 2008 to 2.2% in 2011 ( P Conclusions Establishment of a rigorous data quality assurance for our UTHSR has helped to improve the validity of data. We observed an excellent IRR between the two ors. We recommend training of chart ors and systematic assessment of IRR between ors and validity of the ed data in stroke registries.
机译:背景技术关于中风注册的标准质量保证(QA)程序,已经发布了有限的信息。我们分享了为德克萨斯大学休斯顿中风注册中心(UTHSR)建立增强的QA程序的经验,并评估了这些QA程序是否已改善UTHSR中的数据质量。方法纳入2008年1月1日至2011年12月31日期间在UTHSR中编辑并输入的所有5093名患者记录。我们进行了信度和效度研究。为了通过ors捕获的数据的可靠性和有效性,使用30条记录的随机子集将选择的关键变量重新关联2 ors。这30条记录由一组专家重新整理,其中包括一名血管神经科医生临床医生作为“黄金标准”。我们评估了两个ors之间的评定者间可靠性(IRR)以及每个或“黄金标准”的有效性。根据变量的规模,使用2随机效应方差分析采用Kappa或类内相关性(ICC)评估IRR。为了评估UTHSR中数据的有效性,我们重新整理了另一组85例患者记录,其中所有不符项均由血管神经病学临床医师裁定,并添加到我们的“黄金标准”中。我们评估了注册管理机构数据与“黄金标准”之间的一致程度以及敏感性和特异性。我们使用逻辑回归比较了不同年份的错误率,以评估2008-2011年期间数据质量是否已实现显着改善。结果错误率显着下降,从2008年的4.8%下降到2011年的2.2%(P结论为我们的UTHSR建立了严格的数据质量保证,这有助于提高数据的有效性。我们观察到两者之间的IRR极佳。建议对图表进行培训,并在卒中注册表中对ed和ed数据的有效性之间的IRR进行系统评估。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号