Ugrás a metaadatok végére
Ugrás a metaadatok elejére
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 Recommendations | Anticoagulation | Testing/Triage | Other (Long COVID, Vaccine, Steroids) |
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| Search Strategies |
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| Output Repositories |
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| Current Standards |
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| Emerging Standards |
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| 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)
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| Other Best Practices |
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Synthesize Evidence
| General Recommendations | Anticoagulation | Testing/Triage | Other (Long COVID, Vaccine, Steroids) |
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| Output Repositories | |
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| Current Standards | |
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| Emerging Standards |
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| 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.
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Produce Guidance
| General Recommendations | Anticoagulation | Testing/Triage | Other (Long COVID, Vaccine, Steroids) |
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| Input Sources | - See Output Repositories from Synthesize Evidence table
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| Search Strategies |
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| Current Standards |
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| Emerging Standards |
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| Initiatives |
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| Other Best Practices | |
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Make Guidance Computable
| General Recommendations | Anticoagulation | Testing/Triage | Other (Long COVID, Vaccine, Steroids) |
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| Input Sources | - See output repositories under Produce Guidance
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| Output Repositories | |
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| Current Standards | |
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| Initiatives |
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Implement Guidance (e.g., as CDS, eCQMs)
| General Recommendations | Anticoagulation | Testing/Triage | Other (Long COVID, Vaccine, Steroids) |
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| Input Sources | - See output repositories for Make Guidance Computable
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| Current Standards |
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| Emerging Standards |
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| Initiatives | - C19 Digital Guidelines WG developing and implementation guide for COVID-19 interventions
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Analyze Care Results
| General Recommendations | Anticoagulation | Testing/Triage | Other (Long COVID, Vaccine, Steroids) |
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| Search Strategies |
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| Output Repositories |
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| Current Standards |
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| Emerging Standards | |
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| Initiatives |
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| Other Best Practices |
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Leverage Results Analysis (e.g., for Quality Improvement, Reporting, and Evidence Generation)
| General Recommendations | Anticoagulation | Testing/Triage | Other (Long COVID, Vaccine, Steroids) |
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| Search Strategies |
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| Output Repositories |
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| Current Standards | |
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| Emerging Standards |
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| Initiatives | |
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| Other Best Practices |
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