Evidence map›Paper›PMID 33208337›Full record

ArticleBMJ open2020

Changes in public preferences for technologically enhanced surveillance following the COVID-19 pandemic: a discrete choice experiment.

Chris Degeling, Gang Chen, Gwendolyn L Gilbert, Victoria Brookes, Thi Thai, Andrew Wilson, Jane Johnson

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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 at 5 institutions in 1 country.

Chris DegelingAustralian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, New South Wales, Australia degeling@uow.edu.au gang.chen@monash.edu.ORCID 0000-0003-4279-3443
Gang ChenCentre for Health Economics, Monash Business School, Monash University, Caufield East, Victoria, Australia degeling@uow.edu.au gang.chen@monash.edu.
Gwendolyn L GilbertSydney Health Ethics, Sydney School of Public Health, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia.ORCID 0000-0001-7490-6727
Victoria BrookesSchool of Animal and Veterinary Sciences, Charles Sturt University, Wagga Wagga, New South Wales, Australia.
Thi ThaiCentre for Health Economics, Monash Business School, Monash University, Caufield East, Victoria, Australia.
Andrew WilsonMenzies Centre for Health Policy, The University of Sydney, Sydney, New South Wales, Australia.
Jane JohnsonMarie Bashir Institute for Emerging Infectious Disease and Biosecurity, The University of Sydney, Sydney, New South Wales, Australia.
Monash University · AUThe University of Sydney · AUCharles Sturt University · AUTaronga Conservation Society Australia · AUUniversity of Wollongong · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAs governments attempt to navigate a path out of COVID-19 restrictions, robust evidence is essential to inform requirements for public acceptance of technologically enhanced communicable disease surveillance systems. We examined the value of core surveillance system attributes to the Australian public, before and during the early stages of the current pandemic.

designA discrete choice experiment was conducted in Australia with a representative group of respondents, before and after the WHO declared COVID-19 a Public Health Emergency of International Concern. We identified and investigated the relative importance of seven attributes associated with technologically enhanced disease surveillance: respect for personal autonomy; privacy/confidentiality; data certainty/confidence; data security; infectious disease mortality prevention; infectious disease morbidity prevention; and attribution of (causal) responsibility. Specifically, we explored how the onset of the COVID-19 outbreak influenced participant responses. SETTING AND

participants2008 Australians (general public) completed the experiment: 793 before COVID-19 outbreak onset (mean age 45.9 years, 50.2% male) and 1215 after onset (mean age 47.2 years, 49% male).

resultsAll seven attributes significantly influenced respondents' preferences for communicable disease surveillance systems. After onset, participants demonstrated greater preference for a surveillance system that could prevent a higher number of illnesses and deaths, and were less concerned about their personal autonomy. However, they also increased their preference for a system with high data security.

conclusionsPublic acceptance of technology-based communicable disease surveillance is situation dependent. During an epidemic, there is likely to be greater tolerance of technologically enhanced disease surveillance systems that result in restrictions on personal activity if such systems can prevent high morbidity and mortality. However, this acceptance of lower personal autonomy comes with an increased requirement to ensure data security. These findings merit further research as the pandemic unfolds and strategies are put in place that enable individuals and societies to live with SARS-CoV-2 endemicity.

Indexed as

Public HealthSARS-CoV-2AdolescentAdultAgedAged, 80 and overAustraliaCOVID-19FemaleHumansMaleMiddle AgedPandemicsYoung Adulthealth policyinformation technologypublic health

Identifiers

PMID33208337
PMCPMC7677347
OpenAlexW3103544610

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.