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Overview

  • This page is a resource to help stakeholders working along the COVID-19 evidence-to guidance- to action - to data - to evidence cycle improve their work processes and results. The ultimately goal is to a soon as possible, improve COVID-19 care delivery and outcomes.
  • The tables below are designed to aggregate Collaborative participant recommendations for addressing steps in this COVID-19 knowledge ecosystem. The recommended tools and approaches are being gathered and will evolve over time as stakeholder input is received and community consensus around best practices - and the pandemic itself - evolve.

Recommendation Tables for Knowledge Ecosystem Steps

     Table List

  • Identify Studies
  • Synthesize Evidence
  • Produce Guidance
  • Make Guidance Computable
  • Implement Guidance
  • Analyze Care Results
  • Leverage Results Analysis (e.g., for Quality Improvement, Reporting, Evidence Generation)

Identify Studies


General RecommendationsAnticoagulationTesting/TriageOther (Long COVID, Vaccine, Steroids)
Input Sources

Search Strategies



Output Repositories



Current Standards



Emerging Standards



Initiatives
  • Librarian Reserve Corps
    • COVID-Evidence Project - building a database to gather all the evidence around a drug (University of Basil - currently focused on hydroxychloroquine, but model could be adaptable to other targets)
    • Identification of sources to identify primary studies - validation study of specialized COVID-19 databases (systematic reviewers are going to different sources - this effort is to identify best practices)
    • Advocate for librarian representation in searches and reviews - leverage skillsets/best practices in this work
      [SLMC]: close gaps between needs that clinicians are seeing on the front line and topics covered in reviews guidelines
  • COKA Evidence/ Tools WG [Project Google Drive](work in process)



Tools/ Platforms



Other Best Practices




Synthesize Evidence


General RecommendationsAnticoagulationTesting/TriageOther (Long COVID, Vaccine, Steroids)
Input Sources
Output Repositories


Current Standards


Emerging Standards



Initiatives



Tools/ Platforms


Other Best Practices
  • COVID-NMA has initiated communication with all trialists to try to ensure consistent approaches e.g. selection of outcomes, reduction of risk of bias, and to invite them to contribute missing data. 




Produce Guidance


General RecommendationsAnticoagulationTesting/TriageOther (Long COVID, Vaccine, Steroids)
Input Sources
  • See Output Repositories from Synthesize Evidence table


Search Strategies



Output Repositories



Current Standards



Emerging Standards



Initiatives



Tools/ Platforms



Other Best Practices


Make Guidance Computable


General RecommendationsAnticoagulationTesting/TriageOther (Long COVID, Vaccine, Steroids)
Input Sources



Search Strategies



Output Repositories



Current Standards



Emerging Standards



Initiatives



Tools/ Platforms



Other Best Practices



Implement Guidance (e.g., as CDS, eCQMs)


General RecommendationsAnticoagulationTesting/TriageOther (Long COVID, Vaccine, Steroids)
Input Sources



Search Strategies



Output Repositories



Current Standards



Emerging Standards



Initiatives



Tools/ Platforms



Other Best Practices



Analyze Care Results


General RecommendationsAnticoagulationTesting/TriageOther (Long COVID, Vaccine, Steroids)
Input Sources



Search Strategies



Output Repositories



Current Standards



Emerging Standards



Initiatives



Tools/ Platforms



Other Best Practices



Leverage Results Analysis (e.g., for Quality Improvement, Reporting, and Evidence Generation)


General RecommendationsAnticoagulationTesting/TriageOther (Long COVID, Vaccine, Steroids)
Input Sources



Search Strategies



Output Repositories



Current Standards


Emerging Standards



Initiatives



Tools/ Platforms



Other Best Practices



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