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Comparability of Health Care Responsiveness in Europe using anchoring vignettes from SHARE

Author

Listed:
  • Nicolas Sirven

    (IRDES Institute for research and information in health economics)

  • Brigitte Santos-Eggimann

    (IUMSP Institute of Social and Preventive Medicine, University of Lausanne)

  • Jacques Spagnoli

    (IUMSP Institute of Social and Preventive Medicine, University of Lausanne)

Abstract

The aim of this paper is to measure and to correct for the potential incomparability of responses to the SHARE survey on health care responsiveness. A parametric approach based on the use of anchoring vignettes is applied to cross-sectional data (2006-07) in ten European countries. More than 6,000 respondents aged 50 years old and over were asked to assess the quality of health care responsiveness in three domains: waiting time for medical treatment, quality of the conditions in visited health facilities, and communication and involvement in decisions about the treatment. Chopit models estimates suggest that reporting heterogenity is influenced by both individual (socio-economic, health) and national characteristics. Although correction for differential item functioning does not considerably modify countries ranking after controlling for the usual covariates, about two thirds of the respondents' self-assessments have been re-scaled in each domain. Our results suggest that reporting heterogenity tends to overestimate health care responsiveness for "time to wait for treatment", whereas it seems to underestimate people's self-assessment in the two other domains.

Suggested Citation

  • Nicolas Sirven & Brigitte Santos-Eggimann & Jacques Spagnoli, 2008. "Comparability of Health Care Responsiveness in Europe using anchoring vignettes from SHARE," Working Papers DT15, IRDES institut for research and information in health economics, revised Sep 2008.
    • Handle: RePEc:irh:wpaper:dt15
    as

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    File URL: https://www.irdes.fr/EspaceAnglais/Publications/WorkingPapers/DT15ComparabilityHealthCareResponsEurope.pdf
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    References listed on IDEAS

    as
    1. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 14, pages 715-776, Elsevier.
    2. Arie Kapteyn & James P. Smith & Arthur van Soest, 2007. "Vignettes and Self-Reports of Work Disability in the United States and the Netherlands," American Economic Review, American Economic Association, vol. 97(1), pages 461-473, March.
    3. Rice, N & Robone, S & Smith, P.C, 2008. "The measurement and comparison of health system responsiveness," Health, Econometrics and Data Group (HEDG) Working Papers 08/05, HEDG, c/o Department of Economics, University of York.
    4. Whitley, Rob & Prince, Martin, 2005. "Fear of crime, mobility and mental health in inner-city London, UK," Social Science & Medicine, Elsevier, vol. 61(8), pages 1678-1688, October.
    5. repec:cup:apsrev:v:98:y:2004:i:01:p:191-207_00 is not listed on IDEAS
    6. Graham Elliott & Allan Timmermann, 2016. "Economic Forecasting," Economics Books, Princeton University Press, edition 1, number 10740.
    7. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2002. "Reliable estimation of generalized linear mixed models using adaptive quadrature," Stata Journal, StataCorp LP, vol. 2(1), pages 1-21, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Thierry Debrand & Nicolas Sirven, 2009. "What are the Motivations of Pathways to Retirement in Europe: Individual, Familial, Professional Situation or Social Protection Systems?," Working Papers DT28, IRDES institut for research and information in health economics, revised Oct 2009.
    2. Arie Kapteyn & James P. Smith & Arthur Van Soest & Hana Vonkova, 2011. "Anchoring Vignettes and Response Consistency," Working Papers WR-840, RAND Corporation.
    3. Röttger, Julia & Blümel, Miriam & Linder, Roland & Busse, Reinhard, 2017. "Health system responsiveness and chronic disease care – What is the role of disease management programs? An analysis based on cross-sectional survey and administrative claims data," Social Science & Medicine, Elsevier, vol. 185(C), pages 54-62.
    4. Thierry Debrand & Christine Sorasith, 2010. "Out-of-Pocket Maximum Rules under a Compulsatory Health Care Insurance Scheme: A Choice between Equality and Equity," Working Papers DT34, IRDES institut for research and information in health economics, revised Nov 2010.
    5. Or, Zeynep & Cases, Chantal & Lisac, Melanie & Vrangbæk, Karsten & Winblad, Ulrika & Bevan, Gwyn, 2010. "Are health problems systemic? Politics of access and choice under Beveridge and Bismarck systems," Health Economics, Policy and Law, Cambridge University Press, vol. 5(3), pages 269-293, July.
    6. Hullegie, P.G.J., 2012. "Essays on health and labor economics," Other publications TiSEM dcc68fc9-7af1-4ba9-8f90-6, Tilburg University, School of Economics and Management.
    7. Nigel Rice & Silvana Robone & Peter Smith, 2011. "Analysis of the validity of the vignette approach to correct for heterogeneity in reporting health system responsiveness," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(2), pages 141-162, April.
    8. Andrew M. Jones; Nigel Rice, Silvana Robone; & Nigel Rice; & Silvana Robone:, 2012. "A comparison of parametric and non-parametric adjustments using vignettes for self-reported data," Health, Econometrics and Data Group (HEDG) Working Papers 12/10, HEDG, c/o Department of Economics, University of York.

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    More about this item

    Keywords

    Anchoring Vignettes; Cross-Country Comparison; Chopit Model;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods

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