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Methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence

INTRODUCTION: Disease models can be useful tools for policy makers to inform their decisions. They can help to estimate the costs and benefits of interventions without conducting clinical trials and help to extrapolate the findings of clinical trials to a population level. Sexually transmitted infec...

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Autores principales: Sailer, Fabian, Rait, Greta, Howe, Alice, Saunders, John, Hunter, Rachael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942408/
https://www.ncbi.nlm.nih.gov/pubmed/29730625
http://dx.doi.org/10.1136/bmjopen-2017-020246
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author Sailer, Fabian
Rait, Greta
Howe, Alice
Saunders, John
Hunter, Rachael
author_facet Sailer, Fabian
Rait, Greta
Howe, Alice
Saunders, John
Hunter, Rachael
author_sort Sailer, Fabian
collection PubMed
description INTRODUCTION: Disease models can be useful tools for policy makers to inform their decisions. They can help to estimate the costs and benefits of interventions without conducting clinical trials and help to extrapolate the findings of clinical trials to a population level. Sexually transmitted infections (STIs) do not operate in isolation. Risk-taking behaviours and biological interactions can increase the likelihood of an individual being coinfected with more than one STI. Currently, few STI models consider coinfection or the interaction between STIs. We aim to identify and summarise STI models for two or more STIs and describe their modelling approaches. METHODS AND ANALYSIS: Six databases (Cochrane, Embase, PLOS, ProQuest, Medline and Web of Science) were searched on 27 November 2018 to identify studies that focus on the reporting of the methodology and quality of models for at least two different STIs. The quality of all eligible studies will be accessed using a percentage scale published by Kopec et al. We will summarise all used approaches to model two or more STIs in one model. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework will be used to report all outcomes. ETHICS AND DISSEMINATION: Ethical approval is not required for this systematic review. The results of this review will be published in a peer-reviewed journal and presented at a suitable conference. The findings from this review will be used to inform the development of a new multi-STI model. PROSPERO REGISTRATION NUMBER: CRD42017076837.
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spelling pubmed-59424082018-05-11 Methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence Sailer, Fabian Rait, Greta Howe, Alice Saunders, John Hunter, Rachael BMJ Open Sexual Health INTRODUCTION: Disease models can be useful tools for policy makers to inform their decisions. They can help to estimate the costs and benefits of interventions without conducting clinical trials and help to extrapolate the findings of clinical trials to a population level. Sexually transmitted infections (STIs) do not operate in isolation. Risk-taking behaviours and biological interactions can increase the likelihood of an individual being coinfected with more than one STI. Currently, few STI models consider coinfection or the interaction between STIs. We aim to identify and summarise STI models for two or more STIs and describe their modelling approaches. METHODS AND ANALYSIS: Six databases (Cochrane, Embase, PLOS, ProQuest, Medline and Web of Science) were searched on 27 November 2018 to identify studies that focus on the reporting of the methodology and quality of models for at least two different STIs. The quality of all eligible studies will be accessed using a percentage scale published by Kopec et al. We will summarise all used approaches to model two or more STIs in one model. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework will be used to report all outcomes. ETHICS AND DISSEMINATION: Ethical approval is not required for this systematic review. The results of this review will be published in a peer-reviewed journal and presented at a suitable conference. The findings from this review will be used to inform the development of a new multi-STI model. PROSPERO REGISTRATION NUMBER: CRD42017076837. BMJ Publishing Group 2018-05-05 /pmc/articles/PMC5942408/ /pubmed/29730625 http://dx.doi.org/10.1136/bmjopen-2017-020246 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Sexual Health
Sailer, Fabian
Rait, Greta
Howe, Alice
Saunders, John
Hunter, Rachael
Methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence
title Methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence
title_full Methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence
title_fullStr Methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence
title_full_unstemmed Methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence
title_short Methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence
title_sort methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence
topic Sexual Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5942408/
https://www.ncbi.nlm.nih.gov/pubmed/29730625
http://dx.doi.org/10.1136/bmjopen-2017-020246
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