Use of the i2b2 research query tool to conduct a matched case–control clinical research study: advantages, disadvantages and methodological considerations

BMC Medical Research Methodology

Caleb P Nelson³  Jenifer R Lightdale⁴  Jonathan Bickel²  Pornthep Tanpowpong¹  Sarabeth Broder-Fingert⁵  Emilie K Johnson⁶ 

[1]Department of Pediatrics, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

[2]Information Systems Department, Boston Children’s Hospital, Boston, USA

[3]Department of Urology, Boston Children’s Hospital, 300 Longwood Ave, HU 3rd Floor, Boston, MA 02115, USA

[4]Division of Gastroenterology and Nutrition, Boston Children’s Hospital, Boston, USA

[5]Department of Pediatrics, Massachusetts General Hospital for Children, Boston, USA

[6]Harvard-Wide Pediatric Health Services Research Fellowship, Boston, MA, USA

关键词: Informatics;    Administrative data;    Methodology;    Case–control studies;   

Others  :  866473
DOI  :  10.1186/1471-2288-14-16

 received in 2013-08-24, accepted in 2014-01-27,  发布年份 2014

【 摘 要 】

Background

A major aim of the i2b2 (informatics for integrating biology and the bedside) clinical data informatics framework aims to create an efficient structure within which patients can be identified for clinical and translational research projects.

Our objective was to describe the respective roles of the i2b2 research query tool and the electronic medical record (EMR) in conducting a case-controlled clinical study at our institution.

Methods

We analyzed the process of using i2b2 and the EMR together to generate a complete research database for a case–control study that sought to examine risk factors for kidney stones among gastrostomy tube (G-tube) fed children.

Results

Our final case cohort consisted of 41/177 (23%) of potential cases initially identified by i2b2, who were matched with 80/486 (17%) of potential controls. Cases were 10 times more likely to be excluded for inaccurate coding regarding stones vs. inaccurate coding regarding G-tubes. A majority (67%) of cases were excluded due to not meeting clinical inclusion criteria, whereas a majority of control exclusions (72%) occurred due to inadequate clinical data necessary for study completion. Full dataset assembly required complementary information from i2b2 and the EMR.

Conclusions

i2b2 was critical as a query analysis tool for patient identification in our case–control study. Patient identification via procedural coding appeared more accurate compared with diagnosis coding. Completion of our investigation required iterative interplay of i2b2 and the EMR to assemble the study cohort.

【 授权许可】

   
2014 Johnson et al.; licensee BioMed Central Ltd.

【 图 表 】

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