IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v27y2018i8p1247-1263.html
   My bibliography  Save this article

An exploration of the non‐iterative time trade‐off method to value health states

Author

Listed:
  • Yan Feng
  • Arne Risa Hole
  • Milad Karimi
  • Aki Tsuchiya
  • Ben van Hout

Abstract

Time Trade‐Off (TTO) usually relies on “iteration,” which is susceptible to bias. Discrete Choice Experiment with duration (or DCETTO) is free of such bias, but respondents find this cognitively more challenging. This paper explores non‐iterative TTO with or without lead time: NI(LT)TTO. In NI(LT)TTO, respondents see a series of independent pairwise choices without iteration (similar to DCETTO), but one of the two scenarios always involves full health for a shorter duration (similar to TTO). We compare three different “types” of NI(LT)TTO relative to DCETTO. Each type is presented in two “modes”: (a) verbally tabulated (as in a DCE) and (b) with visual aids (as in a TTO). The study has 8 survey variants, each with 12 experimental choice tasks and a 13th task with a logically determined answer. Data on the 12 experimental choices from an online survey of 6,618 respondents are modelled, by variant, using conditional logistic regressions. The results indicate that NI(LT)TTO is feasible, but some relatively mild states appear to have implausibly low predicted values, and the range of predicted values is much narrower than in DCETTO. The presentation of NI(LT)TTO tasks needs further improvement.

Suggested Citation

  • Yan Feng & Arne Risa Hole & Milad Karimi & Aki Tsuchiya & Ben van Hout, 2018. "An exploration of the non‐iterative time trade‐off method to value health states," Health Economics, John Wiley & Sons, Ltd., vol. 27(8), pages 1247-1263, August.
  • Handle: RePEc:wly:hlthec:v:27:y:2018:i:8:p:1247-1263
    DOI: 10.1002/hec.3773
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.3773
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.3773?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Nancy Devlin & Ken Buckingham & Koonal Shah & Aki Tsuchiya & Carl Tilling & Grahame Wilkinson & Ben van Hout, 2013. "A Comparison Of Alternative Variants Of The Lead And Lag Time Tto," Health Economics, John Wiley & Sons, Ltd., vol. 22(5), pages 517-532, May.
    2. Nancy J. Devlin & Aki Tsuchiya & Ken Buckingham & Carl Tilling, 2011. "A uniform time trade off method for states better and worse than dead: feasibility study of the ‘lead time’ approach," Health Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 348-361, March.
    3. Donald L. Patrick & Helene E. Starks & Kevin C. Cain & Richard F. Uhlmann & Robert A. Pearlman, 1994. "Measuring Preferences for Health States Worse than Death," Medical Decision Making, , vol. 14(1), pages 9-18, February.
    4. Laura Ternent & Aki Tsuchiya, 2013. "A Note on the Expected Biases in Conventional Iterative Health State Valuation Protocols," Medical Decision Making, , vol. 33(4), pages 544-546, May.
    5. Hole, Arne Risa, 2008. "Modelling heterogeneity in patients' preferences for the attributes of a general practitioner appointment," Journal of Health Economics, Elsevier, vol. 27(4), pages 1078-1094, July.
    6. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    7. Robinson, Angela & Dolan, Paul & Williams, Alan, 1997. "Valuing health status using VAS and TTO: What lies behind the numbers?," Social Science & Medicine, Elsevier, vol. 45(8), pages 1289-1297, October.
    8. Daniele Pacifico & Hong il Yoo, 2013. "lclogit: A Stata command for fitting latent-class conditional logit models via the expectation-maximization algorithm," Stata Journal, StataCorp LP, vol. 13(3), pages 625-639, September.
    9. Brendan Mulhern & Nick Bansback & Arne Risa Hole & Aki Tsuchiya, 2017. "Using Discrete Choice Experiments with Duration to Model EQ-5D-5L Health State Preferences," Medical Decision Making, , vol. 37(3), pages 285-297, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brendan Mulhern & Richard Norman & Deborah J. Street & Rosalie Viney, 2019. "One Method, Many Methodological Choices: A Structured Review of Discrete-Choice Experiments for Health State Valuation," PharmacoEconomics, Springer, vol. 37(1), pages 29-43, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bansback, Nick & Hole, Arne Risa & Mulhern, Brendan & Tsuchiya, Aki, 2014. "Testing a discrete choice experiment including duration to value health states for large descriptive systems: Addressing design and sampling issues," Social Science & Medicine, Elsevier, vol. 114(C), pages 38-48.
    2. Arthur Attema & Yvette Edelaar-Peeters & Matthijs Versteegh & Elly Stolk, 2013. "Time trade-off: one methodology, different methods," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 53-64, July.
    3. Marco Costanigro & Yuko Onozaka, 2020. "A Belief‐Preference Model of Choice for Experience and Credence Goods," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(1), pages 70-95, February.
    4. Peter Sivey, 2012. "The effect of waiting time and distance on hospital choice for English cataract patients," Health Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 444-456, April.
    5. Emmanouil Mentzakis & Mandy Ryan & Paul McNamee, 2011. "Using discrete choice experiments to value informal care tasks: exploring preference heterogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 930-944, August.
    6. Nan Luo & Minghui Li & Elly Stolk & Nancy Devlin, 2013. "The effects of lead time and visual aids in TTO valuation: a study of the EQ-VT framework," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 15-24, July.
    7. Stefan A. Lipman & Werner B. F. Brouwer & Arthur E. Attema, 2020. "What is it going to be, TTO or SG? A direct test of the validity of health state valuation," Health Economics, John Wiley & Sons, Ltd., vol. 29(11), pages 1475-1481, November.
    8. Alessandro Mengoni & Chiara Seghieri & Sabina Nuti, 2013. "The application of discrete choice experiments in health economics: a systematic review of the literature," Working Papers 201301, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    9. Douadia Bougherara & Lana Friesen & Céline Nauges, 2021. "Risk Taking with Left- and Right-Skewed Lotteries," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 89-112, February.
    10. Talevi, Marta & Pattanayak, Subhrendu K. & Das, Ipsita & Lewis, Jessica J. & Singha, Ashok K., 2022. "Speaking from experience: Preferences for cooking with biogas in rural India," Energy Economics, Elsevier, vol. 107(C).
    11. Andersson, Henrik & Hole, Arne Risa & Svensson, Mikael, 2016. "Valuation of small and multiple health risks: A critical analysis of SP data applied to food and water safety," Journal of Environmental Economics and Management, Elsevier, vol. 75(C), pages 41-53.
    12. Lee, Misuk & Choi, Hyunhong & Koo, Yoonmo, 2017. "Inconvenience cost of waste disposal behavior in South Korea," Ecological Economics, Elsevier, vol. 140(C), pages 58-65.
    13. Johanna Vásquez & Sergio Botero, 2020. "Hybrid Methodology to Improve Health Status Utility Values Derivation Using EQ-5D-5L and Advanced Multi-Criteria Techniques," IJERPH, MDPI, vol. 17(4), pages 1-18, February.
    14. Lemeilleur, Sylvaine & Subervie, Julie & Presoto, Anderson Edilson & de Castro Souza, Roberta & Macchione Saes, Maria Sylvia, 2016. "Eco-certified contract choice among coffee farmers in Brazil," Working Papers MOISA 245867, Institut National de la recherché Agronomique (INRA), UMR MOISA : Marchés, Organisations, Institutions et Stratégies d'Acteurs : CIHEAM-IAMM, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
    15. Peyron, Christine & Pélissier, Aurore & Béjean, Sophie, 2018. "Preference heterogeneity with respect to whole genome sequencing. A discrete choice experiment among parents of children with rare genetic diseases," Social Science & Medicine, Elsevier, vol. 214(C), pages 125-132.
    16. Gutsche, Gunnar & Ziegler, Andreas, 2019. "Which private investors are willing to pay for sustainable investments? Empirical evidence from stated choice experiments," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 193-214.
    17. Arthur E. Attema & Werner B.F. Brouwer, 2014. "Deriving Time Discounting Correction Factors For Tto Tariffs," Health Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 410-425, April.
    18. Joachim Marti & John Buckell & Johanna Catherine Maclean & Jody L. Sindelar, 2016. "To ‘Vape’ or Smoke? A Discrete Choice Experiment Among U.S. Adult Smokers," NBER Working Papers 22079, National Bureau of Economic Research, Inc.
    19. Paolo Liberati & Francesco Crespi & Massimo Paradiso & Simone Tedeschi & Antonio Scialà, 2018. "Smokers Are Different: The Heterogeneity Of Smokers’ Responses To Price Increases," Departmental Working Papers of Economics - University 'Roma Tre' 0237, Department of Economics - University Roma Tre.
    20. Koonal Shah & Andrew Lloyd & Mark Oppe & Nancy Devlin, 2013. "One-to-one versus group setting for conducting computer-assisted TTO studies: findings from pilot studies in England and the Netherlands," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 65-73, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:27:y:2018:i:8:p:1247-1263. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.