IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v27y2007i4p395-405.html
   My bibliography  Save this article

Quantification of Health States with Rank-Based Nonmetric Multidimensional Scaling

Author

Listed:
  • Paul F. M. Krabbe

    (Department of Medical Technology Assessment (138), Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands, p.krabbe@mta.umcn.nl)

  • Joshua A. Salomon

    (Department of Population and International Health, Harvard School of Public Health, Boston, Harvard Initiative for Global Health, Harvard University, Cambridge, MA)

  • Christopher J. L. Murray

    (Department of Population and International Health, Harvard School of Public Health, Boston, Harvard Initiative for Global Health, Harvard University, Cambridge, MA)

Abstract

Objectives. An alternative methodology is introduced to generate cardinal valuations of health states. This methodology is based on the ranking of differences between health states combined with an associated scaling model that transforms the individual rank data into group values on the interval level. Methods. Data were collected in a Dutch EuroQol EQ-5D valuation study, in which a representative sample (n = 212) of the Dutch population valued a set of 18 EQ-5D health states and death. Three computational steps were undertaken: 1) differences in visual analog scale (VAS) values were computed for each pair of health states based on individual data; 2) the rank ordering of these pairwise differences was derived; 3) nonmetric multidimensional scaling was used to recover cardinal scale values for each state based on these rankings of differences. Results. Scaling of ranked differences between health states using multidimensional scaling produced cardinal values that were nearly identical to the mean VAS valuations. The rank-based values explained 98% of the variance in the VAS values. Conclusion. Ordinal data collection techniques, combined with scaling models, may offer an attractive alternative to direct cardinal elicitation methods for valuing health states.

Suggested Citation

  • Paul F. M. Krabbe & Joshua A. Salomon & Christopher J. L. Murray, 2007. "Quantification of Health States with Rank-Based Nonmetric Multidimensional Scaling," Medical Decision Making, , vol. 27(4), pages 395-405, July.
    • Handle: RePEc:sae:medema:v:27:y:2007:i:4:p:395-405
    DOI: 10.1177/0272989X07302131
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X07302131
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X07302131?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. Warren Torgerson, 1952. "Multidimensional scaling: I. Theory and method," Psychometrika, Springer;The Psychometric Society, vol. 17(4), pages 401-419, December.
    2. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    3. Schoemaker, Paul J H, 1982. "The Expected Utility Model: Its Variants, Purposes, Evidence and Limitations," Journal of Economic Literature, American Economic Association, vol. 20(2), pages 529-563, June.
    4. Nord, Erik, 1992. "Methods for quality adjustment of life years," Social Science & Medicine, Elsevier, vol. 34(5), pages 559-569, March.
    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. Paul F. M. Krabbe & Elly A. Stolk & Nancy J. Devlin & Feng Xie & Elise H. Quik & A. Simon Pickard, 2017. "Head-to-head comparison of health-state values derived by a probabilistic choice model and scores on a visual analogue scale," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(8), pages 967-977, November.
    2. Paul F M Krabbe, 2013. "A Generalized Measurement Model to Quantify Health: The Multi-Attribute Preference Response Model," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-12, November.

    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. Joshua A. Salomon & Christopher J.L. Murray, 2004. "A multi‐method approach to measuring health‐state valuations," Health Economics, John Wiley & Sons, Ltd., vol. 13(3), pages 281-290, March.
    2. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    3. Neuman, Tzahi & Neuman, Einat & Neuman, Shoshana, 2010. "Explorations of the effect of experience on preferences for a health-care service," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(3), pages 407-419, June.
    4. Zhifeng Gao & Ted C. Schroeder, 2009. "Consumer responses to new food quality information: are some consumers more sensitive than others?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 339-346, May.
    5. Tin Cheuk Leung, 2013. "What Is the True Loss Due to Piracy? Evidence from Microsoft Office in Hong Kong," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 1018-1029, July.
    6. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    7. Bodo Herzog, 2018. "Valuation of Digital Platforms: Experimental Evidence for Google and Facebook," IJFS, MDPI, vol. 6(4), pages 1-13, October.
    8. Yamada, Katsunori & Sato, Masayuki, 2013. "Another avenue for anatomy of income comparisons: Evidence from hypothetical choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 35-57.
    9. Potoglou, Dimitris & Palacios, Juan & Feijoo, Claudio & Gómez Barroso, Jose-Luis, 2015. "The supply of personal information: A study on the determinants of information provision in e-commerce scenarios," 26th European Regional ITS Conference, Madrid 2015 127174, International Telecommunications Society (ITS).
    10. Sant'Anna, Ana Claudia & Bergtold, Jason & Shanoyan, Aleksan & Caldas, Marcellus & Granco, Gabriel, 2021. "Deal or No Deal? Analysis of Bioenergy Feedstock Contract Choice with Multiple Opt-out Options and Contract Attribute Substitutability," 2021 Conference, August 17-31, 2021, Virtual 315289, International Association of Agricultural Economists.
    11. Joanna Coast & Hareth Al‐Janabi & Eileen J. Sutton & Susan A. Horrocks & A. Jane Vosper & Dawn R. Swancutt & Terry N. Flynn, 2012. "Using qualitative methods for attribute development for discrete choice experiments: issues and recommendations," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 730-741, June.
    12. Alexander Strehl & Joydeep Ghosh, 2003. "Relationship-Based Clustering and Visualization for High-Dimensional Data Mining," INFORMS Journal on Computing, INFORMS, vol. 15(2), pages 208-230, May.
    13. Bond, Craig A. & Thilmany, Dawn D. & Bond, Jennifer Keeling, 2008. "What to Choose? The Value of Label Claims to Fresh Produce Consumers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-26.
    14. Kontoleon Andreas & Yabe Mitsuyasu, 2006. "Market Segmentation Analysis of Preferences for GM Derived Animal Foods in the UK," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 4(1), pages 1-38, December.
    15. Choi, Andy S., 2013. "Nonmarket values of major resources in the Korean DMZ areas: A test of distance decay," Ecological Economics, Elsevier, vol. 88(C), pages 97-107.
    16. Doherty, Edel & Campbell, Danny, 2011. "Demand for improved food safety and quality: a cross-regional comparison," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108791, Agricultural Economics Society.
    17. Koo, Tay T.R. & Wu, Cheng-Lung (Richard) & Dwyer, Larry, 2010. "Ground travel mode choices of air arrivals at regional destinations: The significance of tourism attributes and destination contexts," Research in Transportation Economics, Elsevier, vol. 26(1), pages 44-53.
    18. van Riel, A.C.R. & Lievens, A., 2003. "New service development in high tech sectors: a decision making perspective," Research Memorandum 013, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    19. Alessandro Corso & Silvia Mangiacavalli & Federica Cocito & Cristiana Pascutto & Virginia Valeria Ferretti & Alessandra Pompa & Roberta Ciampichini & Lara Pochintesta & Lorenzo G Mantovani, 2013. "Long Term Evaluation of the Impact of Autologous Peripheral Blood Stem Cell Transplantation in Multiple Myeloma: A Cost-Effectiveness Analysis," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-6, September.
    20. Melanie Lefevre, 2011. "Willingness-to-pay for Local Milk-based Dairy Product in Senegal," CREPP Working Papers 1108, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.

    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:sae:medema:v:27:y:2007:i:4:p:395-405. 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: SAGE Publications (email available below). General contact details of provider: .

    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.