Barriers and facilitators for using administrative data for surveillance purpose: a narrative overview.

J Hosp Infect

Department of Microbiology, Infectious Diseases, and Immunology, Faculty of Medicine, University of Montreal, CHU Sainte-Justine, 3175 ch de la Côte Ste-Catherine, Montreal, QC, H3T 1C5, Canada; Research Center, CHU Sainte Justine, Montreal, Canada; Department of Pediatric Laboratory Medicine, CHU Sainte-Justine, Montreal, Canada; Infection Prevention & Control, CHU Sainte-Justine, Montreal, Canada. Electronic address:

Published: October 2024

AI Article Synopsis

  • The article discusses how administrative data, though not originally meant for public health surveillance, is often used to monitor healthcare-associated infections (HAIs) in Canada.
  • It analyzes 90 articles to identify 78 barriers and 75 facilitators affecting the use of this data at individual, organizational, and systemic levels.
  • The findings aim to provide practical recommendations for improving the quality and utilization of administrative data in public health contexts.

Article Abstract

Although administrative data are not originally intended for surveillance purposes, they are frequently used for monitoring public health and patient safety. This article provides a narrative overview of the barriers and facilitators for the use of administrative data for surveillance, with a focus on healthcare-associated infection (HAI) in Canada. In this case, only articles on administrative data in general or related to HAI were included. Validation study and meta-analyses on administrative data accuracy were excluded. Medline, Embase and Google Scholar were searched as well as references list of all included articles, for a total of 90 articles included. Our analysis identified 78 barriers at the individual, organizational and systemic levels and outlined 75 facilitators and solutions to improve administrative data utilization and quality. This narrative overview will help to understand barriers, facilitators and offer practical recommendations for optimizing the use of administrative data.

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Source
http://dx.doi.org/10.1016/j.jhin.2024.09.027DOI Listing

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