Evidence map›Paper›PMID 32718949›Full record

ReviewBMJ global health2020

Integrating the social sciences into the COVID-19 response in Alberta, Canada.

Myles Leslie, Raad Fadaak, Jan Davies, Johanna Blaak, P G Forest, Lee Green, John Conly

Abstract readReview
In one paragraph

Review in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

7 authors.

Myles LeslieSchool of Public Policy, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0001-5759-7993
Raad FadaakSchool of Public Policy, University of Calgary, Calgary, Alberta, Canada raad.fadaak@ucalgary.ca.ORCID 0000-0002-7560-3397
Jan DaviesW21C Research and Innovation Centre, University of Calgary, Calgary, Alberta, Canada.
Johanna BlaakW21C Research and Innovation Centre, University of Calgary, Calgary, Alberta, Canada.
P G ForestSchool of Public Policy, University of Calgary, Calgary, Alberta, Canada.
Lee GreenFamily Medicine, University of Alberta, Edmonton, Alberta, Canada.
John ConlyW21C Research and Innovation Centre, University of Calgary, Calgary, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper outlines the rapid integration of social scientists into a Canadian province's COVID-19 response. We describe the motivating theory, deployment and initial outcomes of our team of Organisational Sociologist ethnographers, Human Factors experts and Infection Prevention and Control clinicians focused on understanding and improving Alberta's responsiveness to the pandemic. Specifically, that interdisciplinary team is working alongside acute and primary care personnel, as well as public health leaders to deliver 'situated interventions' that flow from studying communications, interpretations and implementations across responding organisations. Acting in real time, the team is providing critical insights on policy communication and implementation to targeted members of the health system. Using our rapid and ongoing deployment as a case study of social science techniques applied to a pandemic, we describe how other health systems might leverage social science to improve their preparations and communications.

Indexed as

Coronavirus InfectionsDelivery of Health Care, IntegratedPandemicsPneumonia, ViralPublic HealthSocial SciencesAlbertaBetacoronavirusCOVID-19Health CommunicationHumansSARS-CoV-2epidemiologyhealth policyhealth services researchhealth systemspublic health

Identifiers

PMID32718949
PMCPMC7392630

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.