IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v14y2013i2p231-241.html
   My bibliography  Save this article

Mapping utility scores from the Barthel index

Author

Listed:
  • Billingsley Kaambwa
  • Lucinda Billingham
  • Stirling Bryan

Abstract

It is possible to reasonably predict that the EQ-5D from the Barthel using regression methods and the CLAD model (4) is recommended. Copyright Springer-Verlag 2013

Suggested Citation

  • Billingsley Kaambwa & Lucinda Billingham & Stirling Bryan, 2013. "Mapping utility scores from the Barthel index," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 231-241, April.
    • Handle: RePEc:spr:eujhec:v:14:y:2013:i:2:p:231-241
    DOI: 10.1007/s10198-011-0364-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10198-011-0364-5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10198-011-0364-5?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    2. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    3. Arabmazar, Abbas & Schmidt, Peter, 1981. "Further evidence on the robustness of the Tobit estimator to heteroskedasticity," Journal of Econometrics, Elsevier, vol. 17(2), pages 253-258, November.
    4. Patrick W. Sullivan & Vahram Ghushchyan, 2006. "Mapping the EQ-5D Index from the SF-12: US General Population Preferences in a Nationally Representative Sample," Medical Decision Making, , vol. 26(4), pages 401-409, July.
    5. Paul Kind & Geoffrey Hardman & Susan Macran, 1999. "UK population norms for EQ-5D," Working Papers 172chedp, Centre for Health Economics, University of York.
    6. John Brazier & Yaling Yang & Aki Tsuchiya & Donna Rowen, 2010. "A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 215-225, April.
    7. Hyndman, Rob J. & Koehler, Anne B., 2006. "Another look at measures of forecast accuracy," International Journal of Forecasting, Elsevier, vol. 22(4), pages 679-688.
    8. Philip Clarke & Alastair Gray & Rury Holman, 2002. "Estimating Utility Values for Health States of Type 2 Diabetic Patients Using the EQ-5D (UKPDS 62)," Medical Decision Making, , vol. 22(4), pages 340-349, August.
    9. John Brazier & Jennifer Roberts & Aki Tsuchiya & Jan Busschbach, 2004. "A comparison of the EQ‐5D and SF‐6D across seven patient groups," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 873-884, September.
    10. Khan, Shakeeb & Powell, James L., 2001. "Two-step estimation of semiparametric censored regression models," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 73-110, July.
    11. Alastair M. Gray & Oliver Rivero-Arias & Philip M. Clarke, 2006. "Estimating the Association between SF-12 Responses and EQ-5D Utility Values by Response Mapping," Medical Decision Making, , vol. 26(1), pages 18-29, January.
    12. Busschbach, Jan J. V. & McDonnell, Joseph & Essink-Bot, Marie-Louise & van Hout, Ben A., 1999. "Estimating parametric relationships between health description and health valuation with an application to the EuroQol EQ-5D," Journal of Health Economics, Elsevier, vol. 18(5), pages 551-570, October.
    13. Kenneth Y. Chay & James L. Powell, 2001. "Semiparametric Censored Regression Models," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 29-42, Fall.
    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. Rachael Maree Hunter & Charles Davie & Anthony Rudd & Alan Thompson & Hilary Walker & Neil Thomson & James Mountford & Lee Schwamm & John Deanfield & Kerry Thompson & Bikash Dewan & Minesh Mistry & Sa, 2013. "Impact on Clinical and Cost Outcomes of a Centralized Approach to Acute Stroke Care in London: A Comparative Effectiveness Before and After Model," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-9, August.
    2. Rodríguez-Míguez, E. & Abellán-Perpiñán, J.M. & Alvarez, X.C. & González, X.M. & Sampayo, A.R., 2016. "The DEP-6D, a new preference-based measure to assess health states of dependency," Social Science & Medicine, Elsevier, vol. 153(C), pages 210-219.
    3. Matthew Franklin & Katherine Payne & Rachel A. Elliott, 2018. "Quantifying the Relationship between Capability and Health in Older People: Can’t Map, Won’t Map," Medical Decision Making, , vol. 38(1), pages 79-94, 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. Rowen, D & Brazier, J & Roberts, J, 2008. "Mapping SF-36 onto the EQ-5D index: how reliable is the relationship?," MPRA Paper 29831, University Library of Munich, Germany.
    2. Brazier, JE & Yang, Y & Tsuchiya, A, 2008. "A review of studies mapping (or cross walking) from non-preference based measures of health to generic preference-based measures," MPRA Paper 29808, University Library of Munich, Germany.
    3. José M. Labeaga & Xisco Oliver & Amedeo Spadaro, "undated". "Measuring Changes in Health Capital," Working Papers 2005-15, FEDEA.
    4. Christine McDonough & Anna Tosteson, 2007. "Measuring Preferences for Cost-Utility Analysis," PharmacoEconomics, Springer, vol. 25(2), pages 93-106, February.
    5. Alejandro Cid & Daniel Ferres & Máximo Rossi, 2008. "Subjective Well-Being in the Southern Cone: Health, Income and Family," Documentos de Trabajo (working papers) 1308, Department of Economics - dECON.
    6. Mona Aghdaee & Bonny Parkinson & Kompal Sinha & Yuanyuan Gu & Rajan Sharma & Emma Olin & Henry Cutler, 2022. "An examination of machine learning to map non‐preference based patient reported outcome measures to health state utility values," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1525-1557, August.
    7. Wijnen, Ben F.M. & Mosweu, Iris & Majoie, Marian H.J.M. & Ridsdale, Leone & de Kinderen, Reina J.A. & Evers, Silvia M.A.A. & McCrone, Paul, 2018. "A comparison of the responsiveness of EQ-5D-5L and the QOLIE-31P and mapping of QOLIE-31P to EQ-5D-5L in epilepsy," LSE Research Online Documents on Economics 106170, London School of Economics and Political Science, LSE Library.
    8. Aurora Galego & João Pereira, 2010. "Evidence On Gender Wage Discrimination In Portugal: Parametric And Semi‐Parametric Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(4), pages 651-666, December.
    9. D. Stratmann‐Schoene & T. Kuehn & R. Kreienberg & R. Leidl, 2006. "A preference‐based index for the SF‐12," Health Economics, John Wiley & Sons, Ltd., vol. 15(6), pages 553-564, June.
    10. Ralph Crott & Andrew Briggs, 2010. "Mapping the QLQ-C30 quality of life cancer questionnaire to EQ-5D patient preferences," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(4), pages 427-434, August.
    11. Patric Müller & Sara Geer, 2016. "Censored linear model in high dimensions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 75-92, March.
    12. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Dispersion estimation; Earnings risk; Censoring; Quantile regression; Occupational choice; Sorting; Risk preferences; SOEP; IABS," ECONtribute Discussion Papers Series 028, University of Bonn and University of Cologne, Germany.
    13. Alejandro Cid & Daniel Ferrés & Máximo Rossi, 2008. "Testing Happiness Hypothesis among the Elderly," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, July.
    14. Siemroth, Christoph & Hornuf, Lars, 2023. "Why Do Retail Investors Pick Green Investments? A Lab-in-the-Field Experiment with Crowdfunders," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 74-90.
    15. Chen, Songnian, 2018. "Sequential estimation of censored quantile regression models," Journal of Econometrics, Elsevier, vol. 207(1), pages 30-52.
    16. Ismael Arciniegas Rueda, 2012. "Empirical Analysis Of Speculative Attacks With Contractionary Real Effects," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(2), pages 102-127, April.
    17. Anne Solaz & François-Charles Wolff, 2015. "Intergenerational Correlation of Domestic Work : Does Gender Matter ?," Annals of Economics and Statistics, GENES, issue 117-118, pages 159-184.
    18. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    19. Asankha Pallegedara, 2012. "Demand for private tutoring in a free education country. The case of Sri Lanka," International Journal of Education Economics and Development, Inderscience Enterprises Ltd, vol. 3(4), pages 375-393.
    20. Rowen, D & Brazier, J & Tsuchiya, A & Hernández, M & Ibbotson, R, 2009. "The simultaneous valuation of states from multiple instruments using ranking and VAS data: methods and preliminary results," MPRA Paper 29841, University Library of Munich, Germany.

    More about this item

    Keywords

    Mapping; Health-related quality of life; Older people; Utility; I10;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General

    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:spr:eujhec:v:14:y:2013:i:2:p:231-241. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.