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Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review

PURPOSE: Antimicrobial resistance is a significant threat to public health. Diagnostic uncertainty is a key driver of antimicrobial prescribing. We sought to determine whether locally relevant, real-time syndromic or microbiological infection epidemiology can improve prescribing by reducing diagnost...

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Detalles Bibliográficos
Autores principales: Lane, Isabel, Bryce, Ashley, Ingle, Suzanne M, Hay, Alastair D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142716/
https://www.ncbi.nlm.nih.gov/pubmed/29529261
http://dx.doi.org/10.1093/fampra/cmy008
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author Lane, Isabel
Bryce, Ashley
Ingle, Suzanne M
Hay, Alastair D
author_facet Lane, Isabel
Bryce, Ashley
Ingle, Suzanne M
Hay, Alastair D
author_sort Lane, Isabel
collection PubMed
description PURPOSE: Antimicrobial resistance is a significant threat to public health. Diagnostic uncertainty is a key driver of antimicrobial prescribing. We sought to determine whether locally relevant, real-time syndromic or microbiological infection epidemiology can improve prescribing by reducing diagnostic uncertainty. METHODS: Eligible studies investigated effects on primary care prescribing for common infections in Organisation For Economic Co-Operation And Development countries. We searched Medline, Embase, Cumulative index to nursing and allied health literature, Web of Science, grey literature sources, thesis databases and trial registries. RESULTS: We identified 9548 reports, of which 17 were eligible, reporting 12 studies, of which 3 reported relevant outcomes. The first (observational) showed antibacterial prescribing for upper respiratory infections reduced from 26.4% to 8.6% (P = 0.01). The second (observational) showed antibacterial prescribing reduced during influenza pandemic compared with seasonal influenza periods [odds ratio (OR) 0.72 (95% CI, 0.68 to 0.77), P < 0.001], while antiviral prescribing increased [OR 6.43 (95% CI, 5.02 to 8.25), P < 0.001]. The likelihood of prescribing also decreased as the number of infection cases a physician saw increased in the previous week [OR 0.57 (95% CI, 0.51 to 0.63), P < 0.001 for ≥12 versus ≤1 patient). The third (randomized-controlled trial) showed an absolute reduction in antibacterial prescribing of 5.1% during a period of moderate influenza activity (P < 0.05). We did not find measures of diagnostic certainty, harms or costs. CONCLUSION: There is promising evidence that epidemiological syndromic and microbiological data can reduce primary care antimicrobial prescribing. Future research should use randomized designs of behaviourally informed interventions, investigate costs and harms, and establish mechanisms of behaviour change. PROSPERO REGISTRATION: CRD42016038871.
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spelling pubmed-61427162018-09-24 Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review Lane, Isabel Bryce, Ashley Ingle, Suzanne M Hay, Alastair D Fam Pract Systematic Reviews PURPOSE: Antimicrobial resistance is a significant threat to public health. Diagnostic uncertainty is a key driver of antimicrobial prescribing. We sought to determine whether locally relevant, real-time syndromic or microbiological infection epidemiology can improve prescribing by reducing diagnostic uncertainty. METHODS: Eligible studies investigated effects on primary care prescribing for common infections in Organisation For Economic Co-Operation And Development countries. We searched Medline, Embase, Cumulative index to nursing and allied health literature, Web of Science, grey literature sources, thesis databases and trial registries. RESULTS: We identified 9548 reports, of which 17 were eligible, reporting 12 studies, of which 3 reported relevant outcomes. The first (observational) showed antibacterial prescribing for upper respiratory infections reduced from 26.4% to 8.6% (P = 0.01). The second (observational) showed antibacterial prescribing reduced during influenza pandemic compared with seasonal influenza periods [odds ratio (OR) 0.72 (95% CI, 0.68 to 0.77), P < 0.001], while antiviral prescribing increased [OR 6.43 (95% CI, 5.02 to 8.25), P < 0.001]. The likelihood of prescribing also decreased as the number of infection cases a physician saw increased in the previous week [OR 0.57 (95% CI, 0.51 to 0.63), P < 0.001 for ≥12 versus ≤1 patient). The third (randomized-controlled trial) showed an absolute reduction in antibacterial prescribing of 5.1% during a period of moderate influenza activity (P < 0.05). We did not find measures of diagnostic certainty, harms or costs. CONCLUSION: There is promising evidence that epidemiological syndromic and microbiological data can reduce primary care antimicrobial prescribing. Future research should use randomized designs of behaviourally informed interventions, investigate costs and harms, and establish mechanisms of behaviour change. PROSPERO REGISTRATION: CRD42016038871. Oxford University Press 2018-02-26 /pmc/articles/PMC6142716/ /pubmed/29529261 http://dx.doi.org/10.1093/fampra/cmy008 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Systematic Reviews
Lane, Isabel
Bryce, Ashley
Ingle, Suzanne M
Hay, Alastair D
Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review
title Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review
title_full Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review
title_fullStr Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review
title_full_unstemmed Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review
title_short Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review
title_sort does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? a systematic review
topic Systematic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142716/
https://www.ncbi.nlm.nih.gov/pubmed/29529261
http://dx.doi.org/10.1093/fampra/cmy008
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