Measuring patient preferences through the time trade-off method for orthopedic conditions on large samples

Detalhes bibliográficos
Autor(a) principal: Yen, Talitha
Data de Publicação: 2017
Outros Autores: Rodrigues, Clarissa Garcia, Oliveira, Aline Chotte de, Calvo, Paulo Rafeal Sanches, Mather, Richard, Routh, Jonathan, Vissoci, João Ricardo Nickenig
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Gestão e sociedade
Texto Completo: https://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/2318
Resumo: Background: In cost-effectiveness analyses, Quality-Adjusted Life Years (QALY) remains one of the most widely used health effect measure. Among the various methods of estimating utility values, time trade-off (TTO) has traditionally been one of the dominant methods for eliciting utilities, however it has been presenting several practical impediments to provide a high and fast collecting process.Objective: To test a method of collecting TTO-derived utilities using a platform called Amazon’s Mechanical Turk (MTurk) that provides reliable, fast and inexpensive data.Methods: A pre-programmed interactive questionnaire was design to simulate a live TTO interview using Qualtrics. To validate the results members of the Research on Research (RoR) Group not aware of the research agreed to answer the same questions on a videoconference live interview. We determined feasibility through assessment quality and cost/benefit relation indicators. In addition, this paper followed the framework for reproducible research reports proposed by our group.Results: Results: Our results showed that the MTurk population is representative of the US population (based on 2012 census) and there were no differences on the willingness to live when comparing the MTurk sample and the live interview sample, and also no differences of the WTL when comparing the different questionnaire designs developed. Preference results showed differences only for race (between others and African-Americans, and other and white), and overall median values of 0.83 (Q1=0.83;Q3=0.90).Conclusions: MTurk is a reliable web place to collect large sample using the TTO method, and should be used to collect utility data for CEA.
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spelling Measuring patient preferences through the time trade-off method for orthopedic conditions on large samplesPublic Healthcost-effectiveness analysesQuality-Adjusted Life YearsBackground: In cost-effectiveness analyses, Quality-Adjusted Life Years (QALY) remains one of the most widely used health effect measure. Among the various methods of estimating utility values, time trade-off (TTO) has traditionally been one of the dominant methods for eliciting utilities, however it has been presenting several practical impediments to provide a high and fast collecting process.Objective: To test a method of collecting TTO-derived utilities using a platform called Amazon’s Mechanical Turk (MTurk) that provides reliable, fast and inexpensive data.Methods: A pre-programmed interactive questionnaire was design to simulate a live TTO interview using Qualtrics. To validate the results members of the Research on Research (RoR) Group not aware of the research agreed to answer the same questions on a videoconference live interview. We determined feasibility through assessment quality and cost/benefit relation indicators. In addition, this paper followed the framework for reproducible research reports proposed by our group.Results: Results: Our results showed that the MTurk population is representative of the US population (based on 2012 census) and there were no differences on the willingness to live when comparing the MTurk sample and the live interview sample, and also no differences of the WTL when comparing the different questionnaire designs developed. Preference results showed differences only for race (between others and African-Americans, and other and white), and overall median values of 0.83 (Q1=0.83;Q3=0.90).Conclusions: MTurk is a reliable web place to collect large sample using the TTO method, and should be used to collect utility data for CEA.CEPEAD/FACE - UFMG2017-11-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/231810.21171/ges.v12i31.2318Management & Society Electronic Journal; Vol. 12 No. 31 (2018): January/April 2018; 2173-2193Gestão e Sociedade; v. 12 n. 31 (2018): Janeiro/Abril de 2018; 2173-21931980-575610.21171/ges.v12i31reponame:Gestão e sociedadeinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGenghttps://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/2318/1269Copyright (c) 2017 Gestão e Sociedadeinfo:eu-repo/semantics/openAccessYen, TalithaRodrigues, Clarissa GarciaOliveira, Aline Chotte deCalvo, Paulo Rafeal SanchesMather, RichardRouth, JonathanVissoci, João Ricardo Nickenig2019-09-07T21:21:52Zoai:ojs.pkp.sfu.ca:article/2318Revistahttps://www.gestaoesociedade.org/gestaoesociedadePUBhttps://www.gestaoesociedade.org/gestaoesociedade/oaiges@face.ufmg.br||ricardo.ges.ufmg@gmail.com||1980-57561980-5756opendoar:2019-09-07T21:21:52Gestão e sociedade - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Measuring patient preferences through the time trade-off method for orthopedic conditions on large samples
title Measuring patient preferences through the time trade-off method for orthopedic conditions on large samples
spellingShingle Measuring patient preferences through the time trade-off method for orthopedic conditions on large samples
Yen, Talitha
Public Health
cost-effectiveness analyses
Quality-Adjusted Life Years
title_short Measuring patient preferences through the time trade-off method for orthopedic conditions on large samples
title_full Measuring patient preferences through the time trade-off method for orthopedic conditions on large samples
title_fullStr Measuring patient preferences through the time trade-off method for orthopedic conditions on large samples
title_full_unstemmed Measuring patient preferences through the time trade-off method for orthopedic conditions on large samples
title_sort Measuring patient preferences through the time trade-off method for orthopedic conditions on large samples
author Yen, Talitha
author_facet Yen, Talitha
Rodrigues, Clarissa Garcia
Oliveira, Aline Chotte de
Calvo, Paulo Rafeal Sanches
Mather, Richard
Routh, Jonathan
Vissoci, João Ricardo Nickenig
author_role author
author2 Rodrigues, Clarissa Garcia
Oliveira, Aline Chotte de
Calvo, Paulo Rafeal Sanches
Mather, Richard
Routh, Jonathan
Vissoci, João Ricardo Nickenig
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Yen, Talitha
Rodrigues, Clarissa Garcia
Oliveira, Aline Chotte de
Calvo, Paulo Rafeal Sanches
Mather, Richard
Routh, Jonathan
Vissoci, João Ricardo Nickenig
dc.subject.por.fl_str_mv Public Health
cost-effectiveness analyses
Quality-Adjusted Life Years
topic Public Health
cost-effectiveness analyses
Quality-Adjusted Life Years
description Background: In cost-effectiveness analyses, Quality-Adjusted Life Years (QALY) remains one of the most widely used health effect measure. Among the various methods of estimating utility values, time trade-off (TTO) has traditionally been one of the dominant methods for eliciting utilities, however it has been presenting several practical impediments to provide a high and fast collecting process.Objective: To test a method of collecting TTO-derived utilities using a platform called Amazon’s Mechanical Turk (MTurk) that provides reliable, fast and inexpensive data.Methods: A pre-programmed interactive questionnaire was design to simulate a live TTO interview using Qualtrics. To validate the results members of the Research on Research (RoR) Group not aware of the research agreed to answer the same questions on a videoconference live interview. We determined feasibility through assessment quality and cost/benefit relation indicators. In addition, this paper followed the framework for reproducible research reports proposed by our group.Results: Results: Our results showed that the MTurk population is representative of the US population (based on 2012 census) and there were no differences on the willingness to live when comparing the MTurk sample and the live interview sample, and also no differences of the WTL when comparing the different questionnaire designs developed. Preference results showed differences only for race (between others and African-Americans, and other and white), and overall median values of 0.83 (Q1=0.83;Q3=0.90).Conclusions: MTurk is a reliable web place to collect large sample using the TTO method, and should be used to collect utility data for CEA.
publishDate 2017
dc.date.none.fl_str_mv 2017-11-29
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/2318
10.21171/ges.v12i31.2318
url https://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/2318
identifier_str_mv 10.21171/ges.v12i31.2318
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ges.face.ufmg.br/index.php/gestaoesociedade/article/view/2318/1269
dc.rights.driver.fl_str_mv Copyright (c) 2017 Gestão e Sociedade
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Gestão e Sociedade
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CEPEAD/FACE - UFMG
publisher.none.fl_str_mv CEPEAD/FACE - UFMG
dc.source.none.fl_str_mv Management & Society Electronic Journal; Vol. 12 No. 31 (2018): January/April 2018; 2173-2193
Gestão e Sociedade; v. 12 n. 31 (2018): Janeiro/Abril de 2018; 2173-2193
1980-5756
10.21171/ges.v12i31
reponame:Gestão e sociedade
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Gestão e sociedade
collection Gestão e sociedade
repository.name.fl_str_mv Gestão e sociedade - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv ges@face.ufmg.br||ricardo.ges.ufmg@gmail.com||
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