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Understanding public preferences and trade-offs for government responses during a pandemic: a protocol for a discrete choice experiment in the UK

Understanding public preferences and trade-offs for government responses during a pandemic: a protocol for a discrete choice experiment in the UK
Understanding public preferences and trade-offs for government responses during a pandemic: a protocol for a discrete choice experiment in the UK
INTRODUCTION: Social distancing and lockdown measures are among the main government responses to the COVID-19 pandemic. These measures aim to limit the COVID-19 infection rate and reduce the mortality rate of COVID-19. Given we are likely to see local lockdowns until a treatment or vaccine for COVID-19 is available, and their effectiveness depends on public acceptability, it is important to understand public preference for government responses. METHODS AND ANALYSIS: Using a discrete choice experiment (DCE), this study will investigate the public's preferences for pandemic responses in the UK. Attributes (and levels) are based on: (1) lockdown measures described in policy documents; (2) literature on preferences for lockdown measures and (3) a social media analysis. Attributes include: lockdown type; lockdown length; postponement of usual non-urgent medical care; number of excess deaths; number of infections; impact on household spending and job losses. We will prepilot the DCE using virtual think aloud interviews with respondents recruited via Facebook. We will collect preference data using an online survey of 4000 individuals from across the four UK countries (1000 per country). We will estimate the relative importance of the attributes, and the trade-offs individuals are willing to make between attributes. We will test if respondents' preferences differ based on moral attitudes (using the Moral Foundation Questionnaire), socioeconomic circumstances (age, education, economic insecurity, health status), country of residence and experience of COVID-19. ETHICS AND DISSEMINATION: The University of Aberdeen's College Ethics Research Board (CERB) has approved the study (reference: CERB/2020/6/1974). We will seek CERB approval for major changes from the developmental and pilot work. Peer-reviewed papers will be submitted, and results will be presented at public health and health economic conferences nationally and internationally. A lay summary will be published on the Health Economics Research Unit blog.
2044-6055
Genie, Mesfin G
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Rebolledo, Luis Loria
cbb12cae-12a7-4267-acd4-7876bfca54f8
Paranjothy, Shantini
04acae3d-1dba-48ee-80e4-6f4b85cb8043
Powell, Daniel
e1e53a46-a37b-425b-ac15-e82f99033f46
Ryan, Mandy
92290d80-9a03-4b84-a695-9b3573319e52
Sakowsky, Ruben Andreas
e3f5ac7e-484b-4638-93f1-ef37bf741018
Watson, Verity
069e46f2-2507-4fec-8b4e-55b5dcb614f5
Genie, Mesfin G
a4734ec9-ebc6-4e8b-bf2b-f6cef6db11a9
Rebolledo, Luis Loria
cbb12cae-12a7-4267-acd4-7876bfca54f8
Paranjothy, Shantini
04acae3d-1dba-48ee-80e4-6f4b85cb8043
Powell, Daniel
e1e53a46-a37b-425b-ac15-e82f99033f46
Ryan, Mandy
92290d80-9a03-4b84-a695-9b3573319e52
Sakowsky, Ruben Andreas
e3f5ac7e-484b-4638-93f1-ef37bf741018
Watson, Verity
069e46f2-2507-4fec-8b4e-55b5dcb614f5

Genie, Mesfin G, Rebolledo, Luis Loria, Paranjothy, Shantini, Powell, Daniel, Ryan, Mandy, Sakowsky, Ruben Andreas and Watson, Verity (2020) Understanding public preferences and trade-offs for government responses during a pandemic: a protocol for a discrete choice experiment in the UK. BMJ Open. (doi:10.1136/bmjopen-2020-043477).

Record type: Article

Abstract

INTRODUCTION: Social distancing and lockdown measures are among the main government responses to the COVID-19 pandemic. These measures aim to limit the COVID-19 infection rate and reduce the mortality rate of COVID-19. Given we are likely to see local lockdowns until a treatment or vaccine for COVID-19 is available, and their effectiveness depends on public acceptability, it is important to understand public preference for government responses. METHODS AND ANALYSIS: Using a discrete choice experiment (DCE), this study will investigate the public's preferences for pandemic responses in the UK. Attributes (and levels) are based on: (1) lockdown measures described in policy documents; (2) literature on preferences for lockdown measures and (3) a social media analysis. Attributes include: lockdown type; lockdown length; postponement of usual non-urgent medical care; number of excess deaths; number of infections; impact on household spending and job losses. We will prepilot the DCE using virtual think aloud interviews with respondents recruited via Facebook. We will collect preference data using an online survey of 4000 individuals from across the four UK countries (1000 per country). We will estimate the relative importance of the attributes, and the trade-offs individuals are willing to make between attributes. We will test if respondents' preferences differ based on moral attitudes (using the Moral Foundation Questionnaire), socioeconomic circumstances (age, education, economic insecurity, health status), country of residence and experience of COVID-19. ETHICS AND DISSEMINATION: The University of Aberdeen's College Ethics Research Board (CERB) has approved the study (reference: CERB/2020/6/1974). We will seek CERB approval for major changes from the developmental and pilot work. Peer-reviewed papers will be submitted, and results will be presented at public health and health economic conferences nationally and internationally. A lay summary will be published on the Health Economics Research Unit blog.

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More information

Accepted/In Press date: 27 October 2020
Published date: 20 November 2020

Identifiers

Local EPrints ID: 510873
URI: http://eprints.soton.ac.uk/id/eprint/510873
ISSN: 2044-6055
PURE UUID: 018eb68d-47a6-4d83-b1b5-3998e6a6138a
ORCID for Daniel Powell: ORCID iD orcid.org/0000-0003-4995-6057

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Date deposited: 23 Apr 2026 16:52
Last modified: 24 Apr 2026 02:23

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Contributors

Author: Mesfin G Genie
Author: Luis Loria Rebolledo
Author: Shantini Paranjothy
Author: Daniel Powell ORCID iD
Author: Mandy Ryan
Author: Ruben Andreas Sakowsky
Author: Verity Watson

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