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Valuing temporary and chronic health states associated with breast screening

Author

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  • Johnston, Katharine
  • Brown, Jackie
  • Gerard, Karen
  • O'Hanlon, Moira
  • Morton, Alison

Abstract

The aim of this study was to derive quality of life values for the four key breast screening outcomes (true negative, false positive, true positive and false negative), including the quality of life effects of the screening and treatment processes. In doing so, methodological issues in health status measurement were explored, in particular the valuation of temporary health states. The true negative and false positive descriptions were temporary health states, lasting for short term durations (12Â months) and the true positive and false negative outcomes were chronic health states lasting for long term durations (rest of life). Descriptions of breast screening outcomes were valued using the time trade-off technique and the visual analogue scale. Paired comparisons between TTO values for states with the same duration found a difference between the true negative and the false positive time trade-off values but no difference for true positive and false negative descriptions. The TTO values for the false positive were low. The study highlights several important methodological issues such as the use of the two stage procedure for valuing temporary health states, the impact of duration on values, the impact of anchor points, and the importance of qualitative analysis of respondents values. Further empirical testing of all these issues is recommended.

Suggested Citation

  • Johnston, Katharine & Brown, Jackie & Gerard, Karen & O'Hanlon, Moira & Morton, Alison, 1998. "Valuing temporary and chronic health states associated with breast screening," Social Science & Medicine, Elsevier, vol. 47(2), pages 213-222, July.
  • Handle: RePEc:eee:socmed:v:47:y:1998:i:2:p:213-222
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    Citations

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    Cited by:

    1. Anne Spencer, 2000. "Testing the Additive Independence Assumption in the QALY Model," Working Papers 427, Queen Mary University of London, School of Economics and Finance.
    2. Anne Spencer, 2004. "The implications of linking questions within the SG and TTO methods," Health Economics, John Wiley & Sons, Ltd., vol. 13(8), pages 807-818.
    3. Karen Gerard & Katharine Johnston & Jackie Brown, 1999. "The role of a pre-scored multi-attribute health classification measure in validating condition-specific health state descriptions," Health Economics, John Wiley & Sons, Ltd., vol. 8(8), pages 685-699.
    4. Kristina Boye & Louis Matza & Kimberly Walter & Kate Brunt & Andrew Palsgrove & Aodan Tynan, 2011. "Utilities and disutilities for attributes of injectable treatments for type 2 diabetes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(3), pages 219-230, June.
    5. Peasgood, T & Ward, S & Brazier, J, 2010. "A review and meta-analysis of health state utility values in breast cancer," MPRA Paper 29950, University Library of Munich, Germany.

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