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Improving the Validity of Stated-Preference Data in Health Research: The Potential of the Time-to-Think Approach.

Publication ,  Journal Article
Ozdemir, S
Published in: Patient
June 2015

The objective of this article was to discuss potential benefits and drawbacks of using a time-to-think (TTT) approach in healthcare research. Implementing a TTT approach in a stated-preference survey study gives respondents the opportunity to reflect on their options before answering preference-elicitation questions. This article offers an evaluation of circumstances that are suited for implementing this approach, and highlights several remaining questions and problems that should be explored in future research.

Duke Scholars

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Published In

Patient

DOI

EISSN

1178-1661

Publication Date

June 2015

Volume

8

Issue

3

Start / End Page

247 / 255

Location

New Zealand

Related Subject Headings

  • Time Factors
  • Socioeconomic Factors
  • Severity of Illness Index
  • Research Design
  • Patient Preference
  • Male
  • Life Expectancy
  • Humans
  • Health Services Research
  • Female
 

Citation

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Ozdemir, S. (2015). Improving the Validity of Stated-Preference Data in Health Research: The Potential of the Time-to-Think Approach. Patient, 8(3), 247–255. https://doi.org/10.1007/s40271-014-0084-x
Ozdemir, Semra. “Improving the Validity of Stated-Preference Data in Health Research: The Potential of the Time-to-Think Approach.Patient 8, no. 3 (June 2015): 247–55. https://doi.org/10.1007/s40271-014-0084-x.
Ozdemir, Semra. “Improving the Validity of Stated-Preference Data in Health Research: The Potential of the Time-to-Think Approach.Patient, vol. 8, no. 3, June 2015, pp. 247–55. Pubmed, doi:10.1007/s40271-014-0084-x.
Journal cover image

Published In

Patient

DOI

EISSN

1178-1661

Publication Date

June 2015

Volume

8

Issue

3

Start / End Page

247 / 255

Location

New Zealand

Related Subject Headings

  • Time Factors
  • Socioeconomic Factors
  • Severity of Illness Index
  • Research Design
  • Patient Preference
  • Male
  • Life Expectancy
  • Humans
  • Health Services Research
  • Female