Evidence map›Paper›PMID 29453294›Full record

ArticleBMJ open2018

Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment.

Alex R Cook, Xiahong Zhao, Mark I C Chen, Eric A Finkelstein

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Article
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  8. Public opinion on health care and public health.Preventive medicine reports · 2021
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  13. Review
  14. Willingness to Self-Isolate When Facing a Pandemic Risk: Model, Empirical Test, and Policy Recommendations.International journal of environmental research and public health · 2019
    Article
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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

4 authors.

Alex R CookSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Xiahong ZhaoSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Mark I C ChenSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Eric A FinkelsteinSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWhen faced with an emergent epidemic with high mortality and morbidity potential, policy makers must decide what public health interventions to deploy at different stages of the outbreak. However, almost nothing is known about how the public view these interventions or how they trade off risks (of disease) with inconvenience (of interventions). In this paper, we aim to understand public perceptions on pandemic interventions, as well as to identify if there are any distinct respondent preference classes.

designA discrete choice experiment.

settingThis study was fielded in Singapore between November 2012 and February 2013.

participantsA random sample of 500 Singapore residents aged 21 and over, including 271 women and 229 men, was analysed. OUTCOME MEASURES: Demographic information was collected from each participant. Participants were also shown a series of pairs of alternatives, each combining interventions and morbidity, mortality and cost outcomes and declared a preference for one combination. A random utility model was developed to determine the individual's preference for interventions and a hierarchical cluster analysis was performed to identify distinct respondent preference classes.

resultsOn average, participants preferred more intense interventions, and preferred scenarios with fewer deaths and lower tax. The number of infections did not significantly influence respondents' responses. We identified two broad classes of respondents: those who were mortality averse and those who were expenditure averse. Education was found to be a predictor of group membership.

conclusionOverall, there was considerable support for government interventions to prevent or mitigate outbreaks of emerging infectious diseases, including those that greatly restricted individual liberties, as long as the restrictions showed a reasonable chance of reducing the adverse health effects of the outbreak.

Indexed as

Attitude to HealthChoice BehaviorAdultCommunicable Diseases, EmergingCost-Benefit AnalysisFemaleHealth Care CostsHumansMaleMiddle AgedPolicy MakingPublic HealthPublic OpinionRisk AssessmentSingaporeSurveys and Questionnairesdiscrete choice experimentemerging infectious diseasesinterventionsPublic health

Identifiers

PMID29453294
PMCPMC5857709

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.