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

Authors

  • Talitha Yen Department of Surgery. Duke University. Durham/NC, USA
  • Clarissa Garcia Rodrigues Department of Surgery. Duke University. Durham/NC, USA
  • Aline Chotte de Oliveira Faculdade Ingá
  • Paulo Rafeal Sanches Calvo Faculdade Ingá. Department of Medicine. Maringa/PR, Brazil.
  • Richard Mather Department of Surgery, Division of Orthopaedics. Duke University. Durham/NC, USA
  • Jonathan Routh Assistant Professor. Department of Surgery, Division of Urology. Duke University. Durham/NC, USA
  • João Ricardo Nickenig Vissoci Division of Emergency Medicine, Department of Surgery. Duke University Medical Center, Durham/NC, USA.

DOI:

https://doi.org/10.21171/ges.v12i31.2318

Keywords:

Public Health, cost-effectiveness analyses, Quality-Adjusted Life Years

Abstract

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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Author Biographies

Talitha Yen, Department of Surgery. Duke University. Durham/NC, USA

Research on Research Group. Department of Surgery. Duke University. Durham/NC, USA. School of Medicine. University of São Paulo. São Paulo/SP, Brazil. General Hospital of Itapecerica da Serra. São Paulo/SP, Brazil.

Clarissa Garcia Rodrigues, Department of Surgery. Duke University. Durham/NC, USA

Coordinator for the Research and Innovation Coaching Program. Department of Surgery. Duke University. Durham/NC, USA. Instituto de Cardiologia do RS/Fundação Universitária de Cardiologia. Porto Alegre/RS. Brazil.

Aline Chotte de Oliveira, Faculdade Ingá

Faculdade Ingá. Department of Medicine. Maringa/PR, Brazil. Instituto de Cardiologia do RS/Fundação Universitária de Cardiologia. Porto Alegre/RS. Brazil.

Paulo Rafeal Sanches Calvo, Faculdade Ingá. Department of Medicine. Maringa/PR, Brazil.

Faculdade Ingá. Department of Medicine. Maringa/PR, Brazil. 

Richard Mather, Department of Surgery, Division of Orthopaedics. Duke University. Durham/NC, USA

Assistant Professor. Department of Surgery, Division of Orthopaedics. Duke University. Durham/NC, USA.

Jonathan Routh, Assistant Professor. Department of Surgery, Division of Urology. Duke University. Durham/NC, USA

Assistant Professor. Department of Surgery, Division of Urology. Duke University. Durham/NC, USA

João Ricardo Nickenig Vissoci, Division of Emergency Medicine, Department of Surgery. Duke University Medical Center, Durham/NC, USA.

Division of Emergency Medicine, Department of Surgery. Duke University Medical Center, Durham/NC, USA.

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Published

2017-11-29

How to Cite

Yen, T., Rodrigues, C. G., Oliveira, A. C. de, Calvo, P. R. S., Mather, R., Routh, J., & Vissoci, J. R. N. (2017). Measuring patient preferences through the time trade-off method for orthopedic conditions on large samples. Management & Society Electronic Journal, 12(31), 2173–2193. https://doi.org/10.21171/ges.v12i31.2318

Issue

Vol. 12 No. 31 (2018): January/April 2018

Section

Articles

License

As author of the attached article, I authorize its publication, once approved, in the Revista GES - Gestão e Sociedade. I declare that this article is of my autorship and transfer, in a free and definitive manner, the resulting property rights. I also assume full responsibility for its content.

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