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Qualitative subjective assessment of a high‐resolution database in a paediatric intensive care unit—Elaborating the perpetual patient's ID card.

Authors :
Brossier, David
Sauthier, Michael
Mathieu, Audrey
Goyer, Isabelle
Emeriaud, Guillaume
Jouvet, Philippe
Source :
Journal of Evaluation in Clinical Practice; Feb2020, Vol. 26 Issue 1, p86-91, 6p, 2 Charts, 1 Graph
Publication Year :
2020

Abstract

Objective: The main purpose of our study was to subjectively assess the quality of a paediatric intensive care unit (PICU) database according to the Directory of Clinical Databases (DoCDat) criteria. Design and setting: A survey was conducted between April 1 and June 15, 2018, among the Sainte Justine PICU research group. Population: Every member of this group whose research activity required the use of the database and/or who was involved in the development/validation of the database. Interventions: None. Measurements and main results: All 10 research team members (one Information Technology specialist, one junior medical student, and eight clinician researchers) who used the high‐resolution database fulfilled the survey (100% response rate). The median quality level of the Sainte Justine PICU database across all the 10 criteria was 3 (2‐4), rated on a 1 (worst) to 4 (best) numeric scale. When compared with previously assessed databases through the DoCDat criteria, we found that the Sainte Justine PICU database performance was similar. Conclusions: The PICU high‐resolution database appeared of good quality when subjectively assessed by the DoCDat criteria. Further validation procedures are mandatory. We suggest that data quality assessment and validation procedures should be reported when creating a new database. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13561294
Volume :
26
Issue :
1
Database :
Complementary Index
Journal :
Journal of Evaluation in Clinical Practice
Publication Type :
Academic Journal
Accession number :
141206609
Full Text :
https://doi.org/10.1111/jep.13193