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Vignettes and health systems responsiveness in crosscountry comparative analyses

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  • Nigel Rice
  • Silvana Robone
  • Peter Smith

Abstract

This paper explores the use of anchoring vignettes as a means to adjust survey reports of health system performance for differential reporting behaviour using data contained within the World Health Survey (WHS). Survey respondents are asked to rate their experiences of health systems across a number of domains on a five-point categorical scale. Using data provided through a set of vignettes we investigate variations in reporting of interactions with health services across both socio-demographic groups and countries. We show how the method of anchoring vignettes can be used to enhance cross-country comparability of performance. Our results show large differences in the rankings of country performance once adjustment for systematic country-level reporting behaviour has been undertaken compared to a ranking based on raw unadjusted data.

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Bibliographic Info

Paper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 09/29.

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Date of creation: Oct 2009
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Handle: RePEc:yor:hectdg:09/29

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Postal: HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
Fax: (0)1904 323759
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Web page: http://www.york.ac.uk/res/herc/research/hedg/
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Keywords: Anchoring vignettes; Cross-country comparison; Health care responsiveness; Health system performance;

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References

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  1. Kristensen, Nicolai & Johansson, Edvard, 2006. "New Evidence on Cross-Country Differences in Job Satisfaction Using Anchoring Vignettes," Working Papers 06-1, University of Aarhus, Aarhus School of Business, Department of Economics.
  2. Alan Williams, 2001. "Science or marketing at who? Rejoinder from Alan Williams," Health Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 283-285.
  3. Jeff Richardson & John Wildman & Iain K. Robertson, 2003. "A critique of the World Health Organisation's evaluation of health system performance," Health Economics, John Wiley & Sons, Ltd., vol. 12(5), pages 355-366.
  4. Stephen Pudney & Michael Shields, 2000. "Gender, race, pay and promotion in the British nursing profession: estimation of a generalized ordered probit model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(4), pages 367-399.
  5. Philip Stevens & Mary O'Mahoney, 2004. "International Comparisons Of Performance In The Provision Of Public Services," Royal Economic Society Annual Conference 2004 164, Royal Economic Society.
  6. Teresa Bago d'Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O'Donnell, 2008. "Does reporting heterogeneity bias the measurement of health disparities?," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 351-375.
  7. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-point shift and index shift in self-reported health," Journal of Health Economics, Elsevier, vol. 23(6), pages 1083-1099, November.
  8. Gonzalez Block, Miguel Angel, 1997. "Comparative research and analysis methods for shared learning from health system reforms," Health Policy, Elsevier, vol. 42(3), pages 187-209, December.
  9. Groot, Wim, 2000. "Adaptation and scale of reference bias in self-assessments of quality of life," Journal of Health Economics, Elsevier, vol. 19(3), pages 403-420, May.
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Cited by:
  1. 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.
  2. Nicolas Sirven & Brigitte Santos-Eggimann & Jacques Spagnoli, 2012. "Comparability of Health Care Responsiveness in Europe," Social Indicators Research, Springer, vol. 105(2), pages 255-271, January.
  3. Cottini, Elena & Lucifora, Claudio, 2010. "Mental Health and Working Conditions in European Countries," IZA Discussion Papers 4717, Institute for the Study of Labor (IZA).

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