Cargando…

Incorporating respondent-driven sampling into web-based discrete choice experiments: preferences for COVID-19 mitigation measures

To slow the spread of COVID-19, most countries implemented stay-at-home orders, social distancing, and other nonpharmaceutical mitigation strategies. To understand individual preferences for mitigation strategies, we piloted a web-based Respondent Driven Sampling (RDS) approach to recruit participan...

Descripción completa

Detalles Bibliográficos
Autores principales: Johnson, Courtney A., Tran, Dan N., Mwangi, Ann, Sosa-Rubí, Sandra G., Chivardi, Carlos, Romero-Martínez, Martín, Pastakia, Sonak, Robinson, Elisha, Jennings Mayo-Wilson, Larissa, Galárraga, Omar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747856/
https://www.ncbi.nlm.nih.gov/pubmed/35035272
http://dx.doi.org/10.1007/s10742-021-00266-4
_version_ 1784630930142396416
author Johnson, Courtney A.
Tran, Dan N.
Mwangi, Ann
Sosa-Rubí, Sandra G.
Chivardi, Carlos
Romero-Martínez, Martín
Pastakia, Sonak
Robinson, Elisha
Jennings Mayo-Wilson, Larissa
Galárraga, Omar
author_facet Johnson, Courtney A.
Tran, Dan N.
Mwangi, Ann
Sosa-Rubí, Sandra G.
Chivardi, Carlos
Romero-Martínez, Martín
Pastakia, Sonak
Robinson, Elisha
Jennings Mayo-Wilson, Larissa
Galárraga, Omar
author_sort Johnson, Courtney A.
collection PubMed
description To slow the spread of COVID-19, most countries implemented stay-at-home orders, social distancing, and other nonpharmaceutical mitigation strategies. To understand individual preferences for mitigation strategies, we piloted a web-based Respondent Driven Sampling (RDS) approach to recruit participants from four universities in three countries to complete a computer-based Discrete Choice Experiment (DCE). Use of these methods, in combination, can serve to increase the external validity of a study by enabling recruitment of populations underrepresented in sampling frames, thus allowing preference results to be more generalizable to targeted subpopulations. A total of 99 students or staff members were invited to complete the survey, of which 72% started the survey (n = 71). Sixty-three participants (89% of starters) completed all tasks in the DCE. A rank-ordered mixed logit model was used to estimate preferences for COVID-19 nonpharmaceutical mitigation strategies. The model estimates indicated that participants preferred mitigation strategies that resulted in lower COVID-19 risk (i.e. sheltering-in-place more days a week), financial compensation from the government, fewer health (mental and physical) problems, and fewer financial problems. The high response rate and survey engagement provide proof of concept that RDS and DCE can be implemented as web-based applications, with the potential for scale up to produce nationally-representative preference estimates.
format Online
Article
Text
id pubmed-8747856
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-87478562022-01-11 Incorporating respondent-driven sampling into web-based discrete choice experiments: preferences for COVID-19 mitigation measures Johnson, Courtney A. Tran, Dan N. Mwangi, Ann Sosa-Rubí, Sandra G. Chivardi, Carlos Romero-Martínez, Martín Pastakia, Sonak Robinson, Elisha Jennings Mayo-Wilson, Larissa Galárraga, Omar Health Serv Outcomes Res Methodol Article To slow the spread of COVID-19, most countries implemented stay-at-home orders, social distancing, and other nonpharmaceutical mitigation strategies. To understand individual preferences for mitigation strategies, we piloted a web-based Respondent Driven Sampling (RDS) approach to recruit participants from four universities in three countries to complete a computer-based Discrete Choice Experiment (DCE). Use of these methods, in combination, can serve to increase the external validity of a study by enabling recruitment of populations underrepresented in sampling frames, thus allowing preference results to be more generalizable to targeted subpopulations. A total of 99 students or staff members were invited to complete the survey, of which 72% started the survey (n = 71). Sixty-three participants (89% of starters) completed all tasks in the DCE. A rank-ordered mixed logit model was used to estimate preferences for COVID-19 nonpharmaceutical mitigation strategies. The model estimates indicated that participants preferred mitigation strategies that resulted in lower COVID-19 risk (i.e. sheltering-in-place more days a week), financial compensation from the government, fewer health (mental and physical) problems, and fewer financial problems. The high response rate and survey engagement provide proof of concept that RDS and DCE can be implemented as web-based applications, with the potential for scale up to produce nationally-representative preference estimates. Springer US 2022-01-11 2022 /pmc/articles/PMC8747856/ /pubmed/35035272 http://dx.doi.org/10.1007/s10742-021-00266-4 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Johnson, Courtney A.
Tran, Dan N.
Mwangi, Ann
Sosa-Rubí, Sandra G.
Chivardi, Carlos
Romero-Martínez, Martín
Pastakia, Sonak
Robinson, Elisha
Jennings Mayo-Wilson, Larissa
Galárraga, Omar
Incorporating respondent-driven sampling into web-based discrete choice experiments: preferences for COVID-19 mitigation measures
title Incorporating respondent-driven sampling into web-based discrete choice experiments: preferences for COVID-19 mitigation measures
title_full Incorporating respondent-driven sampling into web-based discrete choice experiments: preferences for COVID-19 mitigation measures
title_fullStr Incorporating respondent-driven sampling into web-based discrete choice experiments: preferences for COVID-19 mitigation measures
title_full_unstemmed Incorporating respondent-driven sampling into web-based discrete choice experiments: preferences for COVID-19 mitigation measures
title_short Incorporating respondent-driven sampling into web-based discrete choice experiments: preferences for COVID-19 mitigation measures
title_sort incorporating respondent-driven sampling into web-based discrete choice experiments: preferences for covid-19 mitigation measures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747856/
https://www.ncbi.nlm.nih.gov/pubmed/35035272
http://dx.doi.org/10.1007/s10742-021-00266-4
work_keys_str_mv AT johnsoncourtneya incorporatingrespondentdrivensamplingintowebbaseddiscretechoiceexperimentspreferencesforcovid19mitigationmeasures
AT trandann incorporatingrespondentdrivensamplingintowebbaseddiscretechoiceexperimentspreferencesforcovid19mitigationmeasures
AT mwangiann incorporatingrespondentdrivensamplingintowebbaseddiscretechoiceexperimentspreferencesforcovid19mitigationmeasures
AT sosarubisandrag incorporatingrespondentdrivensamplingintowebbaseddiscretechoiceexperimentspreferencesforcovid19mitigationmeasures
AT chivardicarlos incorporatingrespondentdrivensamplingintowebbaseddiscretechoiceexperimentspreferencesforcovid19mitigationmeasures
AT romeromartinezmartin incorporatingrespondentdrivensamplingintowebbaseddiscretechoiceexperimentspreferencesforcovid19mitigationmeasures
AT pastakiasonak incorporatingrespondentdrivensamplingintowebbaseddiscretechoiceexperimentspreferencesforcovid19mitigationmeasures
AT robinsonelisha incorporatingrespondentdrivensamplingintowebbaseddiscretechoiceexperimentspreferencesforcovid19mitigationmeasures
AT jenningsmayowilsonlarissa incorporatingrespondentdrivensamplingintowebbaseddiscretechoiceexperimentspreferencesforcovid19mitigationmeasures
AT galarragaomar incorporatingrespondentdrivensamplingintowebbaseddiscretechoiceexperimentspreferencesforcovid19mitigationmeasures