Összehasonlított verziók

Kulcs

  • Beillesztett sor.
  • Törölt sor.
  • Formázás megváltoztatva.

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  • 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 (see diagram at the top of this page). 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

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     Table List

Table Listing

  • 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)

Process for Populating Recommendation Tables

  • Identify 'leads' for each table who are currently doing extensive, collaborative work around the ecosystem step.
  • Leads provide pointers to what their collaborative communities to be high value resources for table cells
  • Other Collaborative participants likewise add comments and suggestions about this emerging information
  • Formal processes/criteria will be developed by the Collaborative for adding/vetting information in the tables to optimize their value and use

Recommendation Tables for Knowledge Ecosystem Steps

Identify Studies


General RecommendationsAnticoagulationTesting/TriageOther (Long COVID, Vaccine, Steroids)
Input Sources
  • For steroids systematic meta-review, 8 sources have been identified these are (MEDLINE, CORD-19, L-OVE/Episteminokos, NIH iSearch COVID-19, EuropePMC, WHO COVID-19 Database, EMBASE + Prospero) 
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


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