Fluoroquinolone antibiotics and Aortic Aneurysm or Dissection
The main objective of this project was to provide education on the use of data translated to the OMOP common data model. We aimed to showcase how the Atlas interface tool could be used to generate evidence for a highly relevant and significant research question. The clinical question that was used to demonstrate the process revolved around investigating the potential association between the use of fluoroquinolones to treat urinary tract infection and the risk of experiencing aortic aneurysm and dissection within 30 days, 3 months, or 12 months of treatment initiation compared to other commonly used antibiotics. The workshop aimed to describe how data are translated to the OMOP CDM, how cohorts can be derived in these data, how to execute a robust analysis, and lastly, how to interpret the results of the study. Specifically, we described the process of translating Australian medicines dispensing data to the OMOP CDM, including the translation of the Australia Pharmaceutical Benefits Schedule data to the international RxNorm standard vocabulary.
The outcome of the project is an on-line training resource that highlights the process of study execution from start to finish. This training package will serve as an exemplar for researchers in Australia to unlock the value of their data that has been translated into the OMOP CDM. The audience for this project was database programmers, researchers, and decision-makers, and all those interested in using data to inform healthcare.
Licence: Creative Commons Attribution 4.0 lower case
Contact: Roger Ward, Nicole Pratt
Keywords: OMOP, Aortic Aneurysm, Fluoroquinolone antibiotics
Fields: OTHER MEDICAL AND HEALTH SCIENCES, Medical and Health Sciences not elsewhere classified
- Integrated Understanding of OMOP-CDM and ATLAS: Equip learners with the knowledge to effectively merge the capabilities of OMOP-CDM and ATLAS.
- Fluroquinolones' Impact on Aortic Health: Offer an in-depth exploration into the effects of Fluroquinolones on aortic health, backed by expert research.
- Augmented Data Analytics Capabilities: Enhance participants' competency in healthcare data analysis and interpretation.
- Refined Clinical Data Evaluation: Enable attendees to critically assess and evaluate clinical data.
Date created: 2023-09-29
Contributors: Christine Hallinan