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Developing WHO rapid advice guidelines in the setting of a public health emergency

OBJECTIVES: We describe newly established guidance for guideline developers at the World Health Organization (WHO) on the process and procedures for developing a rapid advice guideline in the context of a public health emergency (e.g., the 2014 Ebola epidemic). STUDY DESIGN AND SETTING: We based our...

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Detalles Bibliográficos
Autores principales: Garritty, Chantelle M., Norris, Susan L., Moher, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125868/
https://www.ncbi.nlm.nih.gov/pubmed/27591906
http://dx.doi.org/10.1016/j.jclinepi.2016.08.010
Descripción
Sumario:OBJECTIVES: We describe newly established guidance for guideline developers at the World Health Organization (WHO) on the process and procedures for developing a rapid advice guideline in the context of a public health emergency (e.g., the 2014 Ebola epidemic). STUDY DESIGN AND SETTING: We based our approach on established rapid review methods, which were incorporated into existing WHO guideline development processes. Guidance was further informed by in-depth discussions of issues related to rapid guideline development with WHO staff (n = 6), who oversee the Organization's response to emergencies. RESULTS: We discuss criteria for considering if a rapid advice guideline is appropriate and feasible and outline the roles of various contributors across the phases of development. Further, we describe the methods and steps involved in performing rapid reviews, which are more fluid and iterative than for a standard guideline process. In general, rapid advice guidelines involve a shorter timeline, narrower scope, and the use of abbreviated methods for the evidence review. CONCLUSION: Important differences exist between developing a standard guideline and a rapid advice guideline. However, the core principles for WHO guidelines apply to rapid advice guidelines including minimizing bias, applying transparent processes and the use of explicit methods.