Evidence map›Paper›PMID 34741109›Full record

ArticleScientific reports2021

Characterization of non-adopters of COVID-19 non-pharmaceutical interventions through a national cross-sectional survey to assess attitudes and behaviours.

Raynell Lang, Omid Atabati, Robert J Oxoby, Mehdi Mourali, Blake Shaffer, Hasan Sheikh, Madison M Fullerton, Theresa Tang, Jeanna Parsons Leigh, Braden J Manns and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

15 authors.

Raynell LangDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. raynell.lang@ahs.ca.
Omid AtabatiDepartment of Economics, Faculty of Arts, University of Calgary, Calgary, AB, Canada.
Robert J OxobyDepartment of Economics, Faculty of Arts, University of Calgary, Calgary, AB, Canada.
Mehdi MouraliHaskayne School of Business, University of Calgary, Calgary, AB, Canada.
Blake ShafferDepartment of Economics, Faculty of Arts, University of Calgary, Calgary, AB, Canada.
Hasan SheikhDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.
Madison M FullertonDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Theresa TangDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Jeanna Parsons LeighFaculty of Health, School of Health Administration, Dalhousie University, Halifax, NS, Canada.
Braden J MannsDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Deborah A MarshallDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Noah M IversWomen's College Hospital Institute for Health System Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada.
Scott C RatzanCity University of New York Graduate School of Public Health & Health Policy, New York, NY, USA.
Jia HuDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Jamie L BenhamDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Funding

This study was funded by a COVID-19 Rapid Response Funding Grant from Alberta Innovates (Grant #202100489).
6 · The paper itself

Abstract

Adoption of non-pharmaceutical interventions (NPIs) remains critical to curtail the spread of COVID-19. Using self-reported adherence to NPIs in Canada, assessed through a national cross-sectional survey of 4498 respondents, we aimed to identify and characterize non-adopters of NPIs, evaluating their attitudes and behaviours to understand barriers and facilitators of adoption. A cluster analysis was used to group adopters separately from non-adopters of NPIs. Associations with sociodemographic factors, attitudes towards COVID-19 and the public health response were assessed using logistic regression models comparing non-adopters to adopters. Of the 4498 respondents, 994 (22%) were clustered as non-adopters. Sociodemographic factors significantly associated with the non-adoption cluster were: (1) being male, (2) age 18-34 years, (3) Albertans, (4) lower education level and (5) higher conservative political leaning. Participants who expressed low concern for COVID-19 and distrust towards several institutions had greater odds of being non-adopters. This information characterizes individuals at greatest odds for non-adoption of NPIs to inform targeted marketing interventions.

Indexed as

AdolescentAdultAgedAlbertaAttitude to HealthCanadaCluster AnalysisCommunicable Disease ControlCOVID-19Cross-Sectional StudiesEducational StatusFemaleHealth LiteracyHumansMaleMiddle Aged

Identifiers

PMID34741109
PMCPMC8571421

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.