Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment
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 ri...
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description | 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 measuresDemographic 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. |
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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 measuresDemographic 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.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2017-017355</identifier><identifier>PMID: 29453294</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Adult ; Attitude to Health ; Avian flu ; Choice Behavior ; Civil liberties ; Communicable Diseases, Emerging - mortality ; Communicable Diseases, Emerging - prevention & control ; Cost-Benefit Analysis ; Ebola virus ; Epidemics ; Epidemiology ; Fatalities ; Female ; Health Care Costs ; Health Policy ; Humans ; Infectious diseases ; Male ; Middle Aged ; Pandemics ; Policy Making ; Population ; Public health ; Public Health - economics ; Public Health - methods ; Public Opinion ; Quarantine ; Risk Assessment - methods ; Singapore ; Surveys and Questionnaires ; Swine flu ; Young Adult ; Zika virus</subject><ispartof>BMJ open, 2018-02, Vol.8 (2), p.e017355-e017355</ispartof><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.</rights><rights>2018 Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b538t-9ea652dae98cdefc302d28b2840d74f1d59e22797737ba64b7d2a2fe711b0d3a3</citedby><cites>FETCH-LOGICAL-b538t-9ea652dae98cdefc302d28b2840d74f1d59e22797737ba64b7d2a2fe711b0d3a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bmjopen.bmj.com/content/8/2/e017355.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://bmjopen.bmj.com/content/8/2/e017355.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27549,27550,27924,27925,53791,53793,77601,77632</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29453294$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cook, Alex R</creatorcontrib><creatorcontrib>Zhao, Xiahong</creatorcontrib><creatorcontrib>Chen, Mark I C</creatorcontrib><creatorcontrib>Finkelstein, Eric A</creatorcontrib><title>Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>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 measuresDemographic 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.</description><subject>Adult</subject><subject>Attitude to Health</subject><subject>Avian flu</subject><subject>Choice Behavior</subject><subject>Civil liberties</subject><subject>Communicable Diseases, Emerging - mortality</subject><subject>Communicable Diseases, Emerging - prevention & control</subject><subject>Cost-Benefit Analysis</subject><subject>Ebola virus</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Fatalities</subject><subject>Female</subject><subject>Health Care Costs</subject><subject>Health Policy</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Pandemics</subject><subject>Policy Making</subject><subject>Population</subject><subject>Public health</subject><subject>Public Health - economics</subject><subject>Public Health - methods</subject><subject>Public Opinion</subject><subject>Quarantine</subject><subject>Risk Assessment - methods</subject><subject>Singapore</subject><subject>Surveys and Questionnaires</subject><subject>Swine flu</subject><subject>Young Adult</subject><subject>Zika virus</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNUVFr3SAUlrGxlq6_oDCEvewlrdEYkz0MRmm3QmF7WJ_F6Mm9XhJNNSntv-8J9650e5qgRz3f-TyfHyFnJTsvS1FfdOMuThAKzkpV4BRSviHHnFVVUTMp377aH5HTnHcMRyVbKfl7csTbSgpcjsn9r6UbvKVTgh4SBAuZ9jFRH2ZIDxBmH0Omc1wB65HCCGnjwwYRPVhML5k6n8FkoPM2gZnzF2rWK5tgBmq30Vug8DhB8iMyfCDvejNkOD3EE3J3ffX78kdx-_P7zeW326KTopmLFkwtuTPQNtZBbwXjjjcdbyrmVNWXTrbAuWqVEqozddUpxw3vQZVlx5ww4oR83fNOSzeCs_h0MoOesAuTnnQ0Xv-dCX6rN_FBy0YqxVok-HwgSPF-gTzrEUXBMJgAqFpzxgSrGtbWCP30D3QXlxRQnua8adCfmq-EYo-yKeaMH_7STMn06qo-uKpXV_XeVaz6-FrHS80fDxFwvgdg9X8xPgNr9rFw</recordid><startdate>20180201</startdate><enddate>20180201</enddate><creator>Cook, Alex R</creator><creator>Zhao, Xiahong</creator><creator>Chen, Mark I C</creator><creator>Finkelstein, Eric A</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180201</creationdate><title>Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment</title><author>Cook, Alex R ; Zhao, Xiahong ; Chen, Mark I C ; Finkelstein, Eric A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b538t-9ea652dae98cdefc302d28b2840d74f1d59e22797737ba64b7d2a2fe711b0d3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Attitude to Health</topic><topic>Avian flu</topic><topic>Choice Behavior</topic><topic>Civil liberties</topic><topic>Communicable Diseases, Emerging - mortality</topic><topic>Communicable Diseases, Emerging - prevention & control</topic><topic>Cost-Benefit Analysis</topic><topic>Ebola virus</topic><topic>Epidemics</topic><topic>Epidemiology</topic><topic>Fatalities</topic><topic>Female</topic><topic>Health Care Costs</topic><topic>Health Policy</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Pandemics</topic><topic>Policy Making</topic><topic>Population</topic><topic>Public health</topic><topic>Public Health - economics</topic><topic>Public Health - methods</topic><topic>Public Opinion</topic><topic>Quarantine</topic><topic>Risk Assessment - methods</topic><topic>Singapore</topic><topic>Surveys and Questionnaires</topic><topic>Swine flu</topic><topic>Young Adult</topic><topic>Zika virus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cook, Alex R</creatorcontrib><creatorcontrib>Zhao, Xiahong</creatorcontrib><creatorcontrib>Chen, Mark I C</creatorcontrib><creatorcontrib>Finkelstein, Eric A</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database (ProQuest)</collection><collection>Nursing & Allied Health Premium</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cook, Alex R</au><au>Zhao, Xiahong</au><au>Chen, Mark I C</au><au>Finkelstein, Eric A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment</atitle><jtitle>BMJ open</jtitle><addtitle>BMJ Open</addtitle><date>2018-02-01</date><risdate>2018</risdate><volume>8</volume><issue>2</issue><spage>e017355</spage><epage>e017355</epage><pages>e017355-e017355</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><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 measuresDemographic 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.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>29453294</pmid><doi>10.1136/bmjopen-2017-017355</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Attitude to Health Avian flu Choice Behavior Civil liberties Communicable Diseases, Emerging - mortality Communicable Diseases, Emerging - prevention & control Cost-Benefit Analysis Ebola virus Epidemics Epidemiology Fatalities Female Health Care Costs Health Policy Humans Infectious diseases Male Middle Aged Pandemics Policy Making Population Public health Public Health - economics Public Health - methods Public Opinion Quarantine Risk Assessment - methods Singapore Surveys and Questionnaires Swine flu Young Adult Zika virus |
title | Public preferences for interventions to prevent emerging infectious disease threats: a discrete choice experiment |
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