Improving quality of data extractions for the computation of patient-days and admissions - 28/01/15
Doi : 10.1016/j.ajic.2014.10.024
Élise Fortin, PhD(c) a, b, Milagros Gonzales, MSc c, Patricia S. Fontela, MD, PhD c, Robert W. Platt, PhD a, David L. Buckeridge, MD, PhD a, Caroline Quach, MD, MSc a, b, c, ⁎ 
a Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
b Direction des risques biologiques et de la santé au travail, Institut national de santé publique du Québec, Québec and Montréal, QC, Canada
c Department of Pediatrics, The Montréal Children's Hospital, McGill University, Montréal, QC, Canada
∗Address correspondence to Caroline Quach, MD, MSc, FRCPC, The Montreal Children's Hospital of the MUHC, C1242 – 2300 Tupper St, Montreal, Québec, H3H 1P3, Canada.
Abstract |
We describe how admissions/discharges/transfers datasets were carefully reviewed for the computation of patient days and admissions used to monitor resistance and antimicrobial use in 9 intensive care units. A visual inspection of datasets and comparisons with other data sources improved accuracy, completeness, and consistency of computations.
Le texte complet de cet article est disponible en PDF.Highlights |
• | Problems in data extractions can compromise the quality of surveillance denominators. |
• | Good communication with all stakeholders is essential during the entire process. |
• | A valid list of admissions can facilitate information extraction from other databases. |
Key Words : Surveillance, Denominators, Data quality
Plan
| Conflicts of interest: None to report. |
|
| Funding/support: This study was funded by the Fonds de Recherche du Québec - Santé. |
© 2015
Association for Professionals in Infection Control and Epidemiology, Inc.. Publié par Elsevier Masson SAS. Tous droits réservés.
Vol 43 - N° 2
P. 174-176 - février 2015 Retour au numéro
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