Literature DB >> 35273464

Divergences between healthcare-associated infection administrative data and active surveillance data in Canada.

Virginie Boulanger1,2, Étienne Poirier1,2, Anne MacLaurin3, Caroline Quach1,2,4,5.   

Abstract

Background: Although Canada has both a national active surveillance system and administrative data for the passive surveillance of healthcare-associated infections (HAI), both have identified strengths and weaknesses in their data collection and reporting. Active and passive surveillance work independently, resulting in results that diverge at times. To understand the divergences between administrative health data and active surveillance data, a scoping review was performed. Method: Medline, Embase and Cumulative Index to Nursing and Allied Health Literature along with grey literature were searched for studies in English and French that evaluated the use of administrative data, alone or in comparison with traditional surveillance, in Canada between 1995 and November 2, 2020. After extracting relevant information from selected articles, a descriptive summary of findings was provided with suggestions for the improvement of surveillance systems to optimize the overall data quality.
Results: Sixteen articles met the inclusion criteria, including twelve observational studies and four systematic reviews. Studies showed that using a single source of administrative data was not accurate for HAI surveillance when compared with traditional active surveillance; however, combining different sources of data or combining administrative with active surveillance data improved accuracy. Electronic surveillance systems can also enhance surveillance by improving the ability to detect potential HAIs.
Conclusion: Although active surveillance of HAIs produced the most accurate results and remains the gold-standard, the integration between active and passive surveillance data can be optimized. Administrative data can be used to enhance traditional active surveillance. Future studies are needed to evaluate the feasibility and benefits of potential solutions presented for the use of administrative data for HAI surveillance and reporting in Canada.

Entities:  

Keywords:  Keywords: surveillance; administrative data; healthcare-associated infection

Year:  2022        PMID: 35273464      PMCID: PMC8856828          DOI: 10.14745/ccdr.v48i01a02

Source DB:  PubMed          Journal:  Can Commun Dis Rep        ISSN: 1188-4169


  35 in total

1.  Validity of administrative data in identifying complex surgical site infections from a population-based cohort after primary hip and knee arthroplasty in Alberta, Canada.

Authors:  Elissa Rennert-May; Braden Manns; Stephanie Smith; Shannon Puloski; Elizabeth Henderson; Flora Au; Kathryn Bush; John Conly
Journal:  Am J Infect Control       Date:  2018-04-27       Impact factor: 2.918

Review 2.  Administrative coding data and health care-associated infections.

Authors:  Michael A Jhung; Shailen N Banerjee
Journal:  Clin Infect Dis       Date:  2009-09-15       Impact factor: 9.079

3.  Using data linkage methodologies to augment healthcare-associated infection surveillance data.

Authors:  Seungwon Lee; Paul Ronksley; John Conly; Stephanie Garies; Hude Quan; Peter Faris; Bing Li; Elizabeth Henderson
Journal:  Infect Control Hosp Epidemiol       Date:  2019-07-29       Impact factor: 3.254

4.  Coder perspectives on physician-related barriers to producing high-quality administrative data: a qualitative study.

Authors:  Karen L Tang; Kelsey Lucyk; Hude Quan
Journal:  CMAJ Open       Date:  2017-08-15

5.  Measuring Surgical Site Infection From Linked Administrative Data Following Hip and Knee Replacement.

Authors:  Lynn N Lethbridge; C Glen Richardson; Michael J Dunbar
Journal:  J Arthroplasty       Date:  2019-09-20       Impact factor: 4.757

6.  Clostridioides difficile infections in Alberta: The validity of administrative data using ICD-10 diagnostic codes for CDI surveillance versus clinical infection surveillance.

Authors:  Ted Pfister; Elissa Rennert-May; Jennifer Ellison; Kathryn Bush; Jenine Leal
Journal:  Am J Infect Control       Date:  2020-08-15       Impact factor: 2.918

7.  Validation of a modified version of the national nosocomial infections surveillance system risk index for health services research.

Authors:  Nick Daneman; Andrew E Simor; Donald A Redelmeier
Journal:  Infect Control Hosp Epidemiol       Date:  2009-06       Impact factor: 3.254

8.  Reduction in Clostridium difficile infection rates after mandatory hospital public reporting: findings from a longitudinal cohort study in Canada.

Authors:  Nick Daneman; Therese A Stukel; Xiaomu Ma; Marian Vermeulen; Astrid Guttmann
Journal:  PLoS Med       Date:  2012-07-17       Impact factor: 11.069

9.  ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.

Authors:  Jonathan Ac Sterne; Miguel A Hernán; Barnaby C Reeves; Jelena Savović; Nancy D Berkman; Meera Viswanathan; David Henry; Douglas G Altman; Mohammed T Ansari; Isabelle Boutron; James R Carpenter; An-Wen Chan; Rachel Churchill; Jonathan J Deeks; Asbjørn Hróbjartsson; Jamie Kirkham; Peter Jüni; Yoon K Loke; Theresa D Pigott; Craig R Ramsay; Deborah Regidor; Hannah R Rothstein; Lakhbir Sandhu; Pasqualina L Santaguida; Holger J Schünemann; Beverly Shea; Ian Shrier; Peter Tugwell; Lucy Turner; Jeffrey C Valentine; Hugh Waddington; Elizabeth Waters; George A Wells; Penny F Whiting; Julian Pt Higgins
Journal:  BMJ       Date:  2016-10-12

10.  Real-time automatic hospital-wide surveillance of nosocomial infections and outbreaks in a large Chinese tertiary hospital.

Authors:  Mingmei Du; Yubin Xing; Jijiang Suo; Bowei Liu; Na Jia; Rui Huo; Chunping Chen; Yunxi Liu
Journal:  BMC Med Inform Decis Mak       Date:  2014-01-29       Impact factor: 2.796

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