Evidence map›Paper›PMID 37202144›Full record

ReviewBMJ open2023

Horizon scanning, rapid reviews and living evidence to support decision-making: lessons from the work of the Critical Intelligence Unit in New South Wales, Australia during the COVID-19 pandemic.

Laura Williamson, Erin McArthur, Hankiz Dolan, Jean-Frederic Levesque, Kim Sutherland

Abstract readReview
In one paragraph

Review in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

5 authors.

Laura WilliamsonNSW Agency for Clinical Innovation, St Leonards, New South Wales, Australia Laura.Holliday@health.nsw.gov.au.
Erin McArthurNSW Agency for Clinical Innovation, St Leonards, New South Wales, Australia.
Hankiz DolanNSW Agency for Clinical Innovation, St Leonards, New South Wales, Australia.ORCID 0000-0002-3185-168X
Jean-Frederic LevesqueNSW Agency for Clinical Innovation, St Leonards, New South Wales, Australia.ORCID 0000-0002-5418-8593
Kim SutherlandNSW Agency for Clinical Innovation, St Leonards, New South Wales, Australia.ORCID 0000-0003-1327-090X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has seen an increase in rapidly disseminated scientific evidence and highlighted that traditional evidence synthesis methods, such as time and resource intensive systematic reviews, may not be successful in responding to rapidly evolving policy and practice needs. In New South Wales (NSW) Australia, the Critical Intelligence Unit (CIU) was established early in the pandemic and acted as an intermediary organisation. It brought together clinical, analytical, research, organisational and policy experts to provide timely and considered advice to decision-makers. This paper provides an overview of the functions, challenges and future implications of the CIU, particularly the Evidence Integration Team. Outputs from the Evidence Integration Team included a daily evidence digest, rapid evidence checks and living evidence tables. These products have been widely disseminated and used to inform policy decisions in NSW, making valuable impacts. Changes and innovations to evidence generation, synthesis and dissemination in response to the COVID-19 pandemic provide an opportunity to shift the way evidence is used in future. The experience and methods of the CIU have potential to be adapted and applied to the broader health system nationally and internationally.

Indexed as

COVID-19AustraliaHumansIntelligenceNew South WalesPandemicsCOVID-19Health policyPUBLIC HEALTH

Identifiers

PMID37202144
PMCPMC10200901

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.