skip to main content
covidend_logo_color

Our network of sites

Evidence-support models

 

COVID-END is interested in profiling innovative models that support decision-making about COVID-19. If you have created, piloted and documented a model that you are willing to share, please email us at forum@mcmaster.ca.

For now we can profile a rapid-response model that can be used or adapted by other groups that are supporting decision-makers with very short turn-around times. View some examples of outputs and read the description below of some key features of the model. We will soon be hosting a webinar for those interested in learning more.

Details to be provided in a request

  • Question, ideally with the following details if applicable
    • Population (e.g. frail elderly in rural and remote communities)
    • Intervention (and comparator), exposure or phenomenon of interest
    • Focus (e.g., care experiences, health outcomes, costs, provider experiences for human studies; measurement properties for instrument studies)
  • Context for question (e.g., requested from a group of small, rural hospitals or from a diverse, mid-sized city)
  • Anything already known or any documents already identified
  • Special timing considerations (e.g., need quick response as well as an update in one week)

Description of the current model

  • Turn-around time = 3 hours during normal working hours
    • If email received by 8:30 am, response will be provided by 12 noon
    • If email received by 12:30 pm, response will be provided by 4 pm
  • Process
    • Search for published and grey literature using our guide to COVID-19 evidence sources
    • Identify five types of document types
      • Guidelines that were developed using a robust process (e.g., GRADE)
      • Full systematic reviews (or review-derived products such as overviews of systematic reviews)
      • Rapid reviews
      • Protocols for systematic reviews
      • Titles/questions for systematic reviews or rapid reviews that have been identified as either being conducted or prioritized to be conducted
      • Single studies were only included if no relevant reviews were identified and/or the reviews are old and/or the science is moving fast
    • Assess relevance and extract data about the recency of the search (or last updated dated)
    • Prioritize for profiling a small number of highly relevant and recently conducted documents
    • Appraise the quality of prioritized full systematic reviews and rapid reviews using AMSTAR
  • Product name
    • Rapid evidence profile
  • Product format
    • One page summary with hyperlinks to prioritized documents
    • Table that provides an overview of the type and number of documents that were identified
    • Table that lists all documents that address the question, organized by document type and sorted by relevance to the question and to COVID-19 (hyperlinked where possible and flagged as available upon request when no hyperlink is available)
  • Issues currently being worked through
    • How to engage a distributed network of staff and students in completing quality assessments in less than an hour (once reviews have been prioritized and before their profiling in the summary and tables can be finalized)
    • Where to draw the line for single studies
    • Documenting process both for internal consistency and for sharing with other groups that will be adopting the same approach

Search our guide to key
COVID-19 evidence sources