Value in Primary Care: Evidence from the Canadian Primary Care Sentinel Surveillance Network

Primary care antimicrobial stewardship programs are virtually non-existent. Using electronic medical record (EMR) data for an interrupted time series study, the authors examined the relationship between antibiotic prescriptions for acute respiratory tract infections (RTIs) and the COVID-19 pandemic....

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Autores principales: Wong, Sabrina T., Morkem, Rachael, Salman, Ayat, Barber, David, Leis, Jerome A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Longwoods Publishing 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370397/
https://www.ncbi.nlm.nih.gov/pubmed/37486813
http://dx.doi.org/10.12927/hcpol.2023.27093
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author Wong, Sabrina T.
Morkem, Rachael
Salman, Ayat
Barber, David
Leis, Jerome A.
author_facet Wong, Sabrina T.
Morkem, Rachael
Salman, Ayat
Barber, David
Leis, Jerome A.
author_sort Wong, Sabrina T.
collection PubMed
description Primary care antimicrobial stewardship programs are virtually non-existent. Using electronic medical record (EMR) data for an interrupted time series study, the authors examined the relationship between antibiotic prescriptions for acute respiratory tract infections (RTIs) and the COVID-19 pandemic. The main outcome of the study was to gauge the proportion of RTI encounters with an antibiotic prescription. The pre-pandemic RTI antibiotic prescribing rate was 27.8%. During the COVID-19 pandemic, prescribing dropped significantly by 9.4% (p < 0.001). Almost 750,000 fewer patients could potentially avoid receiving an antibiotic prescription for RTI. The authors also discuss the value of EMR data; their use can help develop insights for health system improvement.
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spelling pubmed-103703972023-07-27 Value in Primary Care: Evidence from the Canadian Primary Care Sentinel Surveillance Network Wong, Sabrina T. Morkem, Rachael Salman, Ayat Barber, David Leis, Jerome A. Healthc Policy Research Paper Primary care antimicrobial stewardship programs are virtually non-existent. Using electronic medical record (EMR) data for an interrupted time series study, the authors examined the relationship between antibiotic prescriptions for acute respiratory tract infections (RTIs) and the COVID-19 pandemic. The main outcome of the study was to gauge the proportion of RTI encounters with an antibiotic prescription. The pre-pandemic RTI antibiotic prescribing rate was 27.8%. During the COVID-19 pandemic, prescribing dropped significantly by 9.4% (p < 0.001). Almost 750,000 fewer patients could potentially avoid receiving an antibiotic prescription for RTI. The authors also discuss the value of EMR data; their use can help develop insights for health system improvement. Longwoods Publishing 2023-05 /pmc/articles/PMC10370397/ /pubmed/37486813 http://dx.doi.org/10.12927/hcpol.2023.27093 Text en Copyright © 2023 Longwoods Publishing https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 License, which permits rights to copy and redistribute the work for non-commercial purposes only, provided the original work is given proper attribution.
spellingShingle Research Paper
Wong, Sabrina T.
Morkem, Rachael
Salman, Ayat
Barber, David
Leis, Jerome A.
Value in Primary Care: Evidence from the Canadian Primary Care Sentinel Surveillance Network
title Value in Primary Care: Evidence from the Canadian Primary Care Sentinel Surveillance Network
title_full Value in Primary Care: Evidence from the Canadian Primary Care Sentinel Surveillance Network
title_fullStr Value in Primary Care: Evidence from the Canadian Primary Care Sentinel Surveillance Network
title_full_unstemmed Value in Primary Care: Evidence from the Canadian Primary Care Sentinel Surveillance Network
title_short Value in Primary Care: Evidence from the Canadian Primary Care Sentinel Surveillance Network
title_sort value in primary care: evidence from the canadian primary care sentinel surveillance network
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370397/
https://www.ncbi.nlm.nih.gov/pubmed/37486813
http://dx.doi.org/10.12927/hcpol.2023.27093
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