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The Impact of Point-of-Care Testing for Influenza on Antimicrobial Stewardship (PIAMS) in UK Primary Care: Protocol for a Mixed Methods Study

BACKGROUND: Molecular point-of-care testing (POCT) used in primary care can inform whether a patient presenting with an acute respiratory infection has influenza. A confirmed clinical diagnosis, particularly early in the disease, could inform better antimicrobial stewardship. Social distancing and l...

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Autores principales: Hoang, Uy, Williams, Alice, Smylie, Jessica, Aspden, Carole, Button, Elizabeth, Macartney, Jack, Okusi, Cecilia, Byford, Rachel, Ferreira, Filipa, Leston, Meredith, Xie, Charis Xuan, Joy, Mark, Marsden, Gemma, Clark, Tristan, de Lusignan, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337326/
https://www.ncbi.nlm.nih.gov/pubmed/37327029
http://dx.doi.org/10.2196/46938
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author Hoang, Uy
Williams, Alice
Smylie, Jessica
Aspden, Carole
Button, Elizabeth
Macartney, Jack
Okusi, Cecilia
Byford, Rachel
Ferreira, Filipa
Leston, Meredith
Xie, Charis Xuan
Joy, Mark
Marsden, Gemma
Clark, Tristan
de Lusignan, Simon
author_facet Hoang, Uy
Williams, Alice
Smylie, Jessica
Aspden, Carole
Button, Elizabeth
Macartney, Jack
Okusi, Cecilia
Byford, Rachel
Ferreira, Filipa
Leston, Meredith
Xie, Charis Xuan
Joy, Mark
Marsden, Gemma
Clark, Tristan
de Lusignan, Simon
author_sort Hoang, Uy
collection PubMed
description BACKGROUND: Molecular point-of-care testing (POCT) used in primary care can inform whether a patient presenting with an acute respiratory infection has influenza. A confirmed clinical diagnosis, particularly early in the disease, could inform better antimicrobial stewardship. Social distancing and lockdowns during the COVID-19 pandemic have disturbed previous patterns of influenza infections in 2021. However, data from samples taken in the last quarter of 2022 suggest that influenza represents 36% of sentinel network positive virology, compared with 24% for respiratory syncytial virus. Problems with integration into the clinical workflow is a known barrier to incorporating technology into routine care. OBJECTIVE: This study aims to report the impact of POCT for influenza on antimicrobial prescribing in primary care. We will additionally describe severe outcomes of infection (hospitalization and mortality) and how POCT is integrated into primary care workflows. METHODS: The impact of POCT for influenza on antimicrobial stewardship (PIAMS) in UK primary care is an observational study being conducted between December 2022 and May 2023 and involving 10 practices that contribute data to the English sentinel network. Up to 1000 people who present to participating practices with respiratory symptoms will be swabbed and tested with a rapid molecular POCT analyzer in the practice. Antimicrobial prescribing and other study outcomes will be collected by linking information from the POCT analyzer with data from the patient’s computerized medical record. We will collect data on how POCT is incorporated into practice using data flow diagrams, unified modeling language use case diagrams, and Business Process Modeling Notation. RESULTS: We will present the crude and adjusted odds of antimicrobial prescribing (all antibiotics and antivirals) given a POCT diagnosis of influenza, stratifying by whether individuals have a respiratory or other relevant diagnosis (eg, bronchiectasis). We will also present the rates of hospital referrals and deaths related to influenza infection in PIAMS study practices compared with a set of matched practices in the sentinel network and the rest of the network. We will describe any difference in implementation models in terms of staff involved and workflow. CONCLUSIONS: This study will generate data on the impact of POCT testing for influenza in primary care as well as help to inform about the feasibility of incorporating POCT into primary care workflows. It will inform the design of future larger studies about the effectiveness and cost-effectiveness of POCT to improve antimicrobial stewardship and any impact on severe outcomes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/46938
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spelling pubmed-103373262023-07-13 The Impact of Point-of-Care Testing for Influenza on Antimicrobial Stewardship (PIAMS) in UK Primary Care: Protocol for a Mixed Methods Study Hoang, Uy Williams, Alice Smylie, Jessica Aspden, Carole Button, Elizabeth Macartney, Jack Okusi, Cecilia Byford, Rachel Ferreira, Filipa Leston, Meredith Xie, Charis Xuan Joy, Mark Marsden, Gemma Clark, Tristan de Lusignan, Simon JMIR Res Protoc Protocol BACKGROUND: Molecular point-of-care testing (POCT) used in primary care can inform whether a patient presenting with an acute respiratory infection has influenza. A confirmed clinical diagnosis, particularly early in the disease, could inform better antimicrobial stewardship. Social distancing and lockdowns during the COVID-19 pandemic have disturbed previous patterns of influenza infections in 2021. However, data from samples taken in the last quarter of 2022 suggest that influenza represents 36% of sentinel network positive virology, compared with 24% for respiratory syncytial virus. Problems with integration into the clinical workflow is a known barrier to incorporating technology into routine care. OBJECTIVE: This study aims to report the impact of POCT for influenza on antimicrobial prescribing in primary care. We will additionally describe severe outcomes of infection (hospitalization and mortality) and how POCT is integrated into primary care workflows. METHODS: The impact of POCT for influenza on antimicrobial stewardship (PIAMS) in UK primary care is an observational study being conducted between December 2022 and May 2023 and involving 10 practices that contribute data to the English sentinel network. Up to 1000 people who present to participating practices with respiratory symptoms will be swabbed and tested with a rapid molecular POCT analyzer in the practice. Antimicrobial prescribing and other study outcomes will be collected by linking information from the POCT analyzer with data from the patient’s computerized medical record. We will collect data on how POCT is incorporated into practice using data flow diagrams, unified modeling language use case diagrams, and Business Process Modeling Notation. RESULTS: We will present the crude and adjusted odds of antimicrobial prescribing (all antibiotics and antivirals) given a POCT diagnosis of influenza, stratifying by whether individuals have a respiratory or other relevant diagnosis (eg, bronchiectasis). We will also present the rates of hospital referrals and deaths related to influenza infection in PIAMS study practices compared with a set of matched practices in the sentinel network and the rest of the network. We will describe any difference in implementation models in terms of staff involved and workflow. CONCLUSIONS: This study will generate data on the impact of POCT testing for influenza in primary care as well as help to inform about the feasibility of incorporating POCT into primary care workflows. It will inform the design of future larger studies about the effectiveness and cost-effectiveness of POCT to improve antimicrobial stewardship and any impact on severe outcomes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/46938 JMIR Publications 2023-06-16 /pmc/articles/PMC10337326/ /pubmed/37327029 http://dx.doi.org/10.2196/46938 Text en ©Uy Hoang, Alice Williams, Jessica Smylie, Carole Aspden, Elizabeth Button, Jack Macartney, Cecilia Okusi, Rachel Byford, Filipa Ferreira, Meredith Leston, Charis Xuan Xie, Mark Joy, Gemma Marsden, Tristan Clark, Simon de Lusignan. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 16.06.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Hoang, Uy
Williams, Alice
Smylie, Jessica
Aspden, Carole
Button, Elizabeth
Macartney, Jack
Okusi, Cecilia
Byford, Rachel
Ferreira, Filipa
Leston, Meredith
Xie, Charis Xuan
Joy, Mark
Marsden, Gemma
Clark, Tristan
de Lusignan, Simon
The Impact of Point-of-Care Testing for Influenza on Antimicrobial Stewardship (PIAMS) in UK Primary Care: Protocol for a Mixed Methods Study
title The Impact of Point-of-Care Testing for Influenza on Antimicrobial Stewardship (PIAMS) in UK Primary Care: Protocol for a Mixed Methods Study
title_full The Impact of Point-of-Care Testing for Influenza on Antimicrobial Stewardship (PIAMS) in UK Primary Care: Protocol for a Mixed Methods Study
title_fullStr The Impact of Point-of-Care Testing for Influenza on Antimicrobial Stewardship (PIAMS) in UK Primary Care: Protocol for a Mixed Methods Study
title_full_unstemmed The Impact of Point-of-Care Testing for Influenza on Antimicrobial Stewardship (PIAMS) in UK Primary Care: Protocol for a Mixed Methods Study
title_short The Impact of Point-of-Care Testing for Influenza on Antimicrobial Stewardship (PIAMS) in UK Primary Care: Protocol for a Mixed Methods Study
title_sort impact of point-of-care testing for influenza on antimicrobial stewardship (piams) in uk primary care: protocol for a mixed methods study
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337326/
https://www.ncbi.nlm.nih.gov/pubmed/37327029
http://dx.doi.org/10.2196/46938
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