Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Using the Data Quality Dashboard to Improve the EHDEN Network

Clair Blacketer
* ,
Erica A Voss
ORCID logo ,
Frank DeFalco
,
Nigel Hughes
,
Martijn J Schuemie
,
Maxim Moinat
,
Peter Rijnbeek
Version 1 : Received: 31 October 2021 / Approved: 3 November 2021 / Online: 3 November 2021 (09:12:54 CET)

A peer-reviewed article of this Preprint also exists.

Blacketer, C.; Voss, E.A.; DeFalco, F.; Hughes, N.; Schuemie, M.J.; Moinat, M.; Rijnbeek, P.R. Using the Data Quality Dashboard to Improve the EHDEN Network. Appl. Sci. 2021, 11, 11920. Blacketer, C.; Voss, E.A.; DeFalco, F.; Hughes, N.; Schuemie, M.J.; Moinat, M.; Rijnbeek, P.R. Using the Data Quality Dashboard to Improve the EHDEN Network. Appl. Sci. 2021, 11, 11920.

Abstract

Background: Observational health data has the potential to be a rich resource to inform clinical practice and regulatory decision making. However, the lack of standard data quality processes makes it difficult to know if these data are research ready. The EHDEN COVID-19 Rapid Col-laboration Call presented the opportunity to assess how the newly developed open-source tool Data Quality Dashboard (DQD) informs the quality of data in a federated network. Methods: 15 Data Partners (DPs) from 10 different countries worked with the EHDEN taskforce to map their data to the OMOP CDM. Throughout the process at least two DQD results were collected and compared for each DP. Results: All DPs showed an improvement in their data quality between the first and last run of the DQD. The DQD excelled at helping DPs identify and fix conformance is-sues but showed less of an impact on completeness and plausibility checks. Conclusions: This is the first study to apply the DQD on multiple, disparate databases across a network. While study-specific checks should still be run, we recommend that all data holders converting their data to the OMOP CDM use the DQD as it ensures conformance to the model specifications and that a database meets a baseline level of completeness and plausibility for use in research.

Keywords

data quality; OMOP CDM; EHDEN; healthcare data; real world data; RWD

Subject

Medicine and Pharmacology, Other

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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