Skip to main content

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

Publication ,  Journal Article
Cook, AR; Zhao, X; Chen, MIC; Finkelstein, EA
Published in: BMJ Open
February 16, 2018

OBJECTIVE: When 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. DESIGN: A discrete choice experiment. SETTING: This study was fielded in Singapore between November 2012 and February 2013. PARTICIPANTS: A 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. RESULTS: On 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. CONCLUSION: Overall, 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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

BMJ Open

DOI

EISSN

2044-6055

Publication Date

February 16, 2018

Volume

8

Issue

2

Start / End Page

e017355

Location

England

Related Subject Headings

  • Young Adult
  • Surveys and Questionnaires
  • Singapore
  • Risk Assessment
  • Public Opinion
  • Public Health
  • Policy Making
  • Middle Aged
  • Male
  • Humans
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Cook, A. R., Zhao, X., Chen, M. I. C., & Finkelstein, E. A. (2018). Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment. BMJ Open, 8(2), e017355. https://doi.org/10.1136/bmjopen-2017-017355
Cook, Alex R., Xiahong Zhao, Mark I. C. Chen, and Eric A. Finkelstein. “Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment.BMJ Open 8, no. 2 (February 16, 2018): e017355. https://doi.org/10.1136/bmjopen-2017-017355.
Cook AR, Zhao X, Chen MIC, Finkelstein EA. Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment. BMJ Open. 2018 Feb 16;8(2):e017355.
Cook, Alex R., et al. “Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment.BMJ Open, vol. 8, no. 2, Feb. 2018, p. e017355. Pubmed, doi:10.1136/bmjopen-2017-017355.
Cook AR, Zhao X, Chen MIC, Finkelstein EA. Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment. BMJ Open. 2018 Feb 16;8(2):e017355.

Published In

BMJ Open

DOI

EISSN

2044-6055

Publication Date

February 16, 2018

Volume

8

Issue

2

Start / End Page

e017355

Location

England

Related Subject Headings

  • Young Adult
  • Surveys and Questionnaires
  • Singapore
  • Risk Assessment
  • Public Opinion
  • Public Health
  • Policy Making
  • Middle Aged
  • Male
  • Humans