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Methods for estimating the burden of antimicrobial resistance: a systematic literature review protocol
BACKGROUND: Estimates of the burden of antimicrobial resistance (AMR) are needed to ascertain AMR impact, to evaluate interventions, and to allocate resources efficiently. Recent studies have estimated health, cost, and economic burden relating to AMR, with outcomes of interest ranging from drug-bug...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100234/ https://www.ncbi.nlm.nih.gov/pubmed/27821153 http://dx.doi.org/10.1186/s13643-016-0364-8 |
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author | Naylor, Nichola R. Silva, Sachin Kulasabanathan, Kavian Atun, Rifat Zhu, Nina Knight, Gwenan M. Robotham, Julie |
author_facet | Naylor, Nichola R. Silva, Sachin Kulasabanathan, Kavian Atun, Rifat Zhu, Nina Knight, Gwenan M. Robotham, Julie |
author_sort | Naylor, Nichola R. |
collection | PubMed |
description | BACKGROUND: Estimates of the burden of antimicrobial resistance (AMR) are needed to ascertain AMR impact, to evaluate interventions, and to allocate resources efficiently. Recent studies have estimated health, cost, and economic burden relating to AMR, with outcomes of interest ranging from drug-bug resistance impact on mortality in a hospital setting to total economic impact of AMR on the global economy. However, recent collation of this information has been largely informal, with no formal quality assessment of the current evidence base (e.g. with predefined checklists). This review therefore aims to establish what perspectives and resulting methodologies have been used in establishing the burden of AMR, whilst also ascertaining the quality of these studies. METHODS: The literature review will identify relevant literature using a systematic review methodology. MEDLINE, EMBASE, Scopus and EconLit will be searched utilising a predefined search string. Grey literature will be identified by searching within a predefined list of organisational websites. Independent screening of retrievals will be performed in a two-stage process (abstracts and full texts), utilising a pre-defined inclusion and exclusion criteria. Data will be extracted into a data extraction table and descriptive examination will be performed. Study quality will be assessed using the Newcastle-Ottawa scales and the Philips checklists where appropriate. A narrative synthesis of the results will be presented. DISCUSSION: This review will provide an overview of previous health, cost and economic definitions of burden and the resultant impact of these different definitions on the burden of AMR estimated. The review will also explore the methods that have been used to calculate this burden and discuss resulting study quality. This review can therefore act as a guide to methods for future research in this area. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016037510 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-016-0364-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5100234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-51002342016-11-08 Methods for estimating the burden of antimicrobial resistance: a systematic literature review protocol Naylor, Nichola R. Silva, Sachin Kulasabanathan, Kavian Atun, Rifat Zhu, Nina Knight, Gwenan M. Robotham, Julie Syst Rev Protocol BACKGROUND: Estimates of the burden of antimicrobial resistance (AMR) are needed to ascertain AMR impact, to evaluate interventions, and to allocate resources efficiently. Recent studies have estimated health, cost, and economic burden relating to AMR, with outcomes of interest ranging from drug-bug resistance impact on mortality in a hospital setting to total economic impact of AMR on the global economy. However, recent collation of this information has been largely informal, with no formal quality assessment of the current evidence base (e.g. with predefined checklists). This review therefore aims to establish what perspectives and resulting methodologies have been used in establishing the burden of AMR, whilst also ascertaining the quality of these studies. METHODS: The literature review will identify relevant literature using a systematic review methodology. MEDLINE, EMBASE, Scopus and EconLit will be searched utilising a predefined search string. Grey literature will be identified by searching within a predefined list of organisational websites. Independent screening of retrievals will be performed in a two-stage process (abstracts and full texts), utilising a pre-defined inclusion and exclusion criteria. Data will be extracted into a data extraction table and descriptive examination will be performed. Study quality will be assessed using the Newcastle-Ottawa scales and the Philips checklists where appropriate. A narrative synthesis of the results will be presented. DISCUSSION: This review will provide an overview of previous health, cost and economic definitions of burden and the resultant impact of these different definitions on the burden of AMR estimated. The review will also explore the methods that have been used to calculate this burden and discuss resulting study quality. This review can therefore act as a guide to methods for future research in this area. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016037510 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-016-0364-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-08 /pmc/articles/PMC5100234/ /pubmed/27821153 http://dx.doi.org/10.1186/s13643-016-0364-8 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Protocol Naylor, Nichola R. Silva, Sachin Kulasabanathan, Kavian Atun, Rifat Zhu, Nina Knight, Gwenan M. Robotham, Julie Methods for estimating the burden of antimicrobial resistance: a systematic literature review protocol |
title | Methods for estimating the burden of antimicrobial resistance: a systematic literature review protocol |
title_full | Methods for estimating the burden of antimicrobial resistance: a systematic literature review protocol |
title_fullStr | Methods for estimating the burden of antimicrobial resistance: a systematic literature review protocol |
title_full_unstemmed | Methods for estimating the burden of antimicrobial resistance: a systematic literature review protocol |
title_short | Methods for estimating the burden of antimicrobial resistance: a systematic literature review protocol |
title_sort | methods for estimating the burden of antimicrobial resistance: a systematic literature review protocol |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100234/ https://www.ncbi.nlm.nih.gov/pubmed/27821153 http://dx.doi.org/10.1186/s13643-016-0364-8 |
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