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Development of a critical appraisal tool for models predicting the impact of ‘test, trace, and protect’ programmes on COVID-19 transmission
OBJECTIVES: To develop a critical appraisal tool for non-computational-specialist public health professionals to assess the quality and relevance of modelling studies about Test and Trace (and Protect – TTP) programmes' impact on COVID-19 transmission. STUDY DESIGN: Decision-making tool develop...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society for Public Health. Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520882/ https://www.ncbi.nlm.nih.gov/pubmed/34784502 http://dx.doi.org/10.1016/j.puhe.2021.10.003 |
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author | Frank, J.W. Marion, G. Doeschl-Wilson, A. |
author_facet | Frank, J.W. Marion, G. Doeschl-Wilson, A. |
author_sort | Frank, J.W. |
collection | PubMed |
description | OBJECTIVES: To develop a critical appraisal tool for non-computational-specialist public health professionals to assess the quality and relevance of modelling studies about Test and Trace (and Protect – TTP) programmes' impact on COVID-19 transmission. STUDY DESIGN: Decision-making tool development. METHODS: Using Tugwell et al.'s 1985 Health Care Effectiveness equation as a conceptual framework, combined with a purposive search of the relevant early modeling literature, we developed six critical appraisal questions for the rapid assessment of modeling studies related to the evaluation of TTP programmes' effectiveness. RESULTS: By applying the critical appraisal tool to selected recent COVID-19 modeling studies, we demonstrate how models can be evaluated using the six questions to evaluate internal and external validity and relevance. CONCLUSIONS: These six critical appraisal questions are able to discriminate between modeling studies of higher and lower quality and relevance to evaluating TTP programmes' impact. However, these questions require independent validation in a larger and systematic sample of relevant modeling studies which have appeared in later stages of the pandemic. |
format | Online Article Text |
id | pubmed-8520882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society for Public Health. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85208822021-10-18 Development of a critical appraisal tool for models predicting the impact of ‘test, trace, and protect’ programmes on COVID-19 transmission Frank, J.W. Marion, G. Doeschl-Wilson, A. Public Health Review Paper OBJECTIVES: To develop a critical appraisal tool for non-computational-specialist public health professionals to assess the quality and relevance of modelling studies about Test and Trace (and Protect – TTP) programmes' impact on COVID-19 transmission. STUDY DESIGN: Decision-making tool development. METHODS: Using Tugwell et al.'s 1985 Health Care Effectiveness equation as a conceptual framework, combined with a purposive search of the relevant early modeling literature, we developed six critical appraisal questions for the rapid assessment of modeling studies related to the evaluation of TTP programmes' effectiveness. RESULTS: By applying the critical appraisal tool to selected recent COVID-19 modeling studies, we demonstrate how models can be evaluated using the six questions to evaluate internal and external validity and relevance. CONCLUSIONS: These six critical appraisal questions are able to discriminate between modeling studies of higher and lower quality and relevance to evaluating TTP programmes' impact. However, these questions require independent validation in a larger and systematic sample of relevant modeling studies which have appeared in later stages of the pandemic. The Royal Society for Public Health. Published by Elsevier Ltd. 2021-12 2021-10-18 /pmc/articles/PMC8520882/ /pubmed/34784502 http://dx.doi.org/10.1016/j.puhe.2021.10.003 Text en © 2021 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Review Paper Frank, J.W. Marion, G. Doeschl-Wilson, A. Development of a critical appraisal tool for models predicting the impact of ‘test, trace, and protect’ programmes on COVID-19 transmission |
title | Development of a critical appraisal tool for models predicting the impact of ‘test, trace, and protect’ programmes on COVID-19 transmission |
title_full | Development of a critical appraisal tool for models predicting the impact of ‘test, trace, and protect’ programmes on COVID-19 transmission |
title_fullStr | Development of a critical appraisal tool for models predicting the impact of ‘test, trace, and protect’ programmes on COVID-19 transmission |
title_full_unstemmed | Development of a critical appraisal tool for models predicting the impact of ‘test, trace, and protect’ programmes on COVID-19 transmission |
title_short | Development of a critical appraisal tool for models predicting the impact of ‘test, trace, and protect’ programmes on COVID-19 transmission |
title_sort | development of a critical appraisal tool for models predicting the impact of ‘test, trace, and protect’ programmes on covid-19 transmission |
topic | Review Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520882/ https://www.ncbi.nlm.nih.gov/pubmed/34784502 http://dx.doi.org/10.1016/j.puhe.2021.10.003 |
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