Evidence map›Paper›PMID 32493339›Full record

ArticleHealth research policy and systems2020

Amplifying the role of knowledge translation platforms in the COVID-19 pandemic response.

Fadi El-Jardali, Lama Bou-Karroum, Racha Fadlallah

Abstract readLetter
In one paragraph

Article in Health research policy and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 'It's quite a balancing act': A qualitative study of parents' experiences and information needs related to the COVID-19 pandemic.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic.International journal of environmental research and public health · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Fadi El-JardaliDepartment of Health Management and Policy, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon. fe08@aub.edu.lb.ORCID http://orcid.org/0000-0002-4084-6524
Lama Bou-KarroumDepartment of Health Management and Policy, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Racha FadlallahDepartment of Health Management and Policy, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic presents the worst public health crisis in recent history. The response to the COVID-19 pandemic has been challenged by many factors, including scientific uncertainties, scarcity of relevant research, proliferation of misinformation and fake news, poor access to actionable evidence, time constraints, and weak collaborations among relevant stakeholders. Knowledge translation (KT) platforms, composed of organisations, initiatives and networks supporting evidence-informed policy-making, can play an important role in providing relevant and timely evidence to inform pandemic responses and bridge the gap between science, policy, practice and politics. In this Commentary, we highlight the emerging roles of KT platforms in light of the COVID-19 pandemic. We also reflect on the lessons learned from the efforts of a KT platform in a middle-income country to inform decision-making and practice during the COVID-19 pandemic. The lessons learned can be integrated into strengthening the role, structures and mandates of KT platforms as hubs for trustworthy evidence that can inform policies and practice during public health crises and in promoting their integration and institutionalisation within the policy-making processes.

Indexed as

BetacoronavirusTranslational Research, BiomedicalClinical Decision-MakingCommunicationCoronavirus InfectionsCOVID-19Health PolicyHealth PrioritiesHumansPandemicsPneumonia, ViralPolicy MakingSARS-CoV-2COVID-19 pandemicdataevidenceevidence-informed policy-makingknowledge translationresearch

Identifiers

PMID32493339
PMCPMC7267748

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.