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Use of Grading of Recommendations, Assessment, Development, and Evaluation to Combat Fake News: A Case Study of Influenza Vaccination in Pregnancy

BACKGROUND: The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) framework is a validated evaluation tool used to assess the quality of scientific publications. It helps in enhancing clinicians’ decision-making process and supports production of informed healthy policy. OB...

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Detalles Bibliográficos
Autores principales: Zafar, Sidra, Habboush, Yacob, Beidas, Sary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249503/
https://www.ncbi.nlm.nih.gov/pubmed/30404772
http://dx.doi.org/10.2196/10347
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author Zafar, Sidra
Habboush, Yacob
Beidas, Sary
author_facet Zafar, Sidra
Habboush, Yacob
Beidas, Sary
author_sort Zafar, Sidra
collection PubMed
description BACKGROUND: The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) framework is a validated evaluation tool used to assess the quality of scientific publications. It helps in enhancing clinicians’ decision-making process and supports production of informed healthy policy. OBJECTIVE: The purpose of this report was two-fold. First, we reviewed the interpretation of observational studies. The second purpose was to share or provide an example using the GRADE criteria. METHODS: To illustrate the use of the GRADE framework to assess publications, we selected a study evaluating the risk of spontaneous abortion (SAB) after influenza vaccine administration. RESULTS: Since 2004, the Centers for Disease Control and Prevention and the Advisory Committee on Immunization Practice have recommended influenza vaccination of pregnant women. Previous studies have not found an association between influenza vaccination and SAB. However, in a recent case-control study by Donahue et al, a correlation with SAB in women who received the H1N1 influenza vaccine was identified. For women who received H1N1–containing vaccine in the previous and current influenza season, the adjusted odds ratio (aOR) for SAB was 7.7 (95% CI, 2.2-27.3), while the aOR for women not vaccinated in the previous season but vaccinated in the current season was 1.3 (95% CI, 0.7-2.7). CONCLUSIONS: Our goal is to enable the readers to critique published literature using appropriate evaluation tools such as GRADE.
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spelling pubmed-62495032018-12-13 Use of Grading of Recommendations, Assessment, Development, and Evaluation to Combat Fake News: A Case Study of Influenza Vaccination in Pregnancy Zafar, Sidra Habboush, Yacob Beidas, Sary JMIR Med Educ Review BACKGROUND: The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) framework is a validated evaluation tool used to assess the quality of scientific publications. It helps in enhancing clinicians’ decision-making process and supports production of informed healthy policy. OBJECTIVE: The purpose of this report was two-fold. First, we reviewed the interpretation of observational studies. The second purpose was to share or provide an example using the GRADE criteria. METHODS: To illustrate the use of the GRADE framework to assess publications, we selected a study evaluating the risk of spontaneous abortion (SAB) after influenza vaccine administration. RESULTS: Since 2004, the Centers for Disease Control and Prevention and the Advisory Committee on Immunization Practice have recommended influenza vaccination of pregnant women. Previous studies have not found an association between influenza vaccination and SAB. However, in a recent case-control study by Donahue et al, a correlation with SAB in women who received the H1N1 influenza vaccine was identified. For women who received H1N1–containing vaccine in the previous and current influenza season, the adjusted odds ratio (aOR) for SAB was 7.7 (95% CI, 2.2-27.3), while the aOR for women not vaccinated in the previous season but vaccinated in the current season was 1.3 (95% CI, 0.7-2.7). CONCLUSIONS: Our goal is to enable the readers to critique published literature using appropriate evaluation tools such as GRADE. JMIR Publications 2018-11-07 /pmc/articles/PMC6249503/ /pubmed/30404772 http://dx.doi.org/10.2196/10347 Text en ©Sidra Zafar, Yacob Habboush, Sary Beidas. Originally published in JMIR Medical Education (http://mededu.jmir.org), 07.11.2018. 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 Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on http://mededu.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Zafar, Sidra
Habboush, Yacob
Beidas, Sary
Use of Grading of Recommendations, Assessment, Development, and Evaluation to Combat Fake News: A Case Study of Influenza Vaccination in Pregnancy
title Use of Grading of Recommendations, Assessment, Development, and Evaluation to Combat Fake News: A Case Study of Influenza Vaccination in Pregnancy
title_full Use of Grading of Recommendations, Assessment, Development, and Evaluation to Combat Fake News: A Case Study of Influenza Vaccination in Pregnancy
title_fullStr Use of Grading of Recommendations, Assessment, Development, and Evaluation to Combat Fake News: A Case Study of Influenza Vaccination in Pregnancy
title_full_unstemmed Use of Grading of Recommendations, Assessment, Development, and Evaluation to Combat Fake News: A Case Study of Influenza Vaccination in Pregnancy
title_short Use of Grading of Recommendations, Assessment, Development, and Evaluation to Combat Fake News: A Case Study of Influenza Vaccination in Pregnancy
title_sort use of grading of recommendations, assessment, development, and evaluation to combat fake news: a case study of influenza vaccination in pregnancy
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249503/
https://www.ncbi.nlm.nih.gov/pubmed/30404772
http://dx.doi.org/10.2196/10347
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