• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>BMC Medical Informatics and Decision Making >Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET? in Japan
【24h】

Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET? in Japan

机译：临床实验室检测中缺失的医院差异特征在贡献中网的多医院观测数据库中？ 在日本

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In Japan, a multiple-hospital observational database system, the Medical Information Database Network (MID-NET?), was launched for post-marketing drug safety assessments. These assessments will be based on datasets with missing laboratory results. The characteristics of missing data considering hospital differences have not been evaluated. We assessed the missing proportion and the association between missingness and a factor through case studies using a database system, a part of MID-NET?. Seven scenarios using laboratory results before the prescription of the assessed drug as baseline covariates and data from 10 hospitals of Tokushukai Medical Group were used. The missing proportion and the association between missingness and patient background were investigated per hospital. The associations were assessed using the log of adjusted odds ratio (log-aOR). Additionally, an ad hoc survey was conducted to explore other factors affecting the missingness. For some laboratory tests, missing proportions varied among hospitals, such as 7.4–44.4% of alkaline phosphatase (ALP) and 8.1–31.2% of triglyceride (TG) among statin users. The association between missingness and affecting factors also differed among hospitals for some factors; example, the log-aOR of hospitalization associated with missingness of TG was ??0.41 (95% CI, ??1.06 to 0.24) in hospital 3 and 1.84 (95% CI, 1.34 to 2.34) in hospital 4. In the ad hoc survey focusing on ALP, hospital-dependent differences in the ordering system settings were observed. Hospital differences in missing data appeared in some laboratory tests in our multi-hospital observational database, which could be attributed to the affecting factors, including the patient background.
机译：在日本，为营销药物安全评估推出了一家多医院观测数据库系统，医疗信息数据库网络（中网？）推出。这些评估将基于具有缺失实验室结果的数据集。考虑医院差异的缺失数据的特征尚未得到评估。我们通过使用数据库系统的案例研究评估了缺失比例和缺失与因素之间的关联，是中网的一部分？使用了七种场景，使用实验室结果在评估药物作为基线协变量和来自Tokushukai医学组的10家医院的基准协变量和数据。每位医院调查了失踪和患者背景之间的比例和关联。使用调整后的赔率比（日志AOR）的日志来评估关联。此外，还进行了临时调查，以探索影响失踪的其他因素。对于一些实验室测试，医院的缺失比例在胰岛素中的7.4-44.4％的碱性磷酸酶（ALP）和8.1-31.2％的甘油三酯（TG）之间变化。缺失和影响因素之间的关联在一些因素的医院也有所不同;例如，医院3和1.84（95％CI，1.84，1.84至2.34）的遗址与TG缺失相关的住院的日志AOR在医院3和1.84（95％CI，1.34至2.34）中。专注于ALP的调查，观察到有序系统设置中的医院依赖性差异。在我们的多医院观测数据库中的一些实验室测试中出现了缺失数据的医院差异，这可能归因于影响因素，包括患者背景。

著录项

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