Searching for evidence in public health emergencies: a white paper of best practices.

Objectives: Information professionals have supported medical providers, administrators and decision-makers, and guideline creators in the COVID-19 response. Searching COVID-19 literature presented new challenges, including the volume and heterogeneity of literature and the proliferation of new infor...

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Publicado en:Journal of the Medical Library Association Vol. 111; no. 1/2; pp. 567 - 580
Autores principales: Brody, Stacy, Loree, Sara, Sampson, Margaret, Mensinkai, Shaila, Coffman, Jennifer, Mueller, Mark Heinrich, Askin, Nicole, Hamill, Cheryl, Wilson, Emma, McAteer, Mary Beth, Staines, Heather
Formato: research tables/charts Journal Article
Publicado: University of Pittsburgh, University Library System Jan-Apr2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan-Apr2023
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      pub: University of Pittsburgh, University Library System
      place: Pittsburgh, Pennsylvania
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        atl: Searching for evidence in public health emergencies: a white paper of best practices.
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          Brody, Stacy
          Loree, Sara
          Sampson, Margaret
          Mensinkai, Shaila
          Coffman, Jennifer
          Mueller, Mark Heinrich
          Askin, Nicole
          Hamill, Cheryl
          Wilson, Emma
          McAteer, Mary Beth
          Staines, Heather
        affil: Reference & Instruction Librarian, Himmelfarb Health Sciences Library, George Washington University, School of Medicine and Health Sciences, Washington, DC, United States
      sug:
        subj:
          Public Health
          Emergencies
          Information Retrieval
          COVID-19 Pandemic
          Professional Practice, Evidence-Based
          Decision Making
          Human
          Questionnaires
          Delphi Technique
          Collaboration
          Information Resources
          Open Access Publishing
          Information Science
          Research Personnel
      ab: Objectives: Information professionals have supported medical providers, administrators and decision-makers, and guideline creators in the COVID-19 response. Searching COVID-19 literature presented new challenges, including the volume and heterogeneity of literature and the proliferation of new information sources, and exposed existing issues in metadata and publishing. An expert panel developed best practices, including recommendations, elaborations, and examples, for searching during public health emergencies. Methods: Project directors and advisors developed core elements from experience and literature. Experts, identified by affiliation with evidence synthesis groups, COVID-19 search experience, and nomination, responded to an online survey to reach consensus on core elements. Expert participants provided written responses to guiding questions. A synthesis of responses provided the foundation for focus group discussions. A writing group then drafted the best practices into a statement. Experts reviewed the statement prior to dissemination. Results: Twelve information professionals contributed to best practice recommendations on six elements: core resources, search strategies, publication types, transparency and reproducibility, collaboration, and conducting research. Underlying principles across recommendations include timeliness, openness, balance, preparedness, and responsiveness. Conclusions: The authors and experts anticipate the recommendations for searching for evidence during public health emergencies will help information specialists, librarians, evidence synthesis groups, researchers, and decision-makers respond to future public health emergencies, including but not limited to disease outbreaks. The recommendations complement existing guidance by addressing concerns specific to emergency response. The statement is intended as a living document. Future revisions should solicit input from a broader community and reflect conclusions of meta-research on COVID-19 and health emergencies.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
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      ougenre: Article
    language: English
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