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Social relationships as a major determinant in the valuation of health states

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Abstract

Purpose

To empirically determine the impact of the capacity to sustain social relationships on valuing health states.

Methods

68 clinical experts conducted a health state valuation exercise in five sites using pairwise comparison, ranking, and person trade-off as elicitation methods. 23,840 pairwise comparisons of a total of 379 health states were analyzed by conditional logistic regression.

Results

Social relationships had a clear monotonic association with perceived disability: the more limited the capacity to sustain social relationships, the more disabling the resulting health state valuations. The highest level of limitations with respect to social relationships was associated with slightly lower impact on health state valuations compared to the highest level of limitations in physical functioning.

Conclusions

Social relationships showed an independent contribution to health state valuations and should be included in health state measures.

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Abbreviations

CLAMES:

Classification and Measurement System of Functional Health

CLR:

Conditional logistic regression

U.S.:

United States

WHO:

World Health Organization

References

  1. Murray, C. J. L., Salomon, J., Mathers, C., & Lopez, A. (2002). Summary measures of population health: Concepts, ethics, measurement and applications. Geneva: WHO.

    Google Scholar 

  2. Murray, C. J. L., & Lopez, A. D. (1996). The global burden of disease: A comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020. Cambridge, MA: Harvard School of Public Health (on behalf of the WHO and World Bank).

    Google Scholar 

  3. Drummond, M. F., Sculpher, M. J., Torrance, G. W., O’Brien, B. J., & Stoddart, G. L. (2005). Methods for the economic evaluation of health care programme (3rd ed.). Oxford: Oxford University Press.

    Google Scholar 

  4. Gold, M. R., Stevenson, D., & Fryback, D. G. (2002). HALYS and QALYS and DALYS, Oh My: Similarities and differences in summary measures of population health. Annual Review of Public Health, 23, 115–134.

    Article  PubMed  Google Scholar 

  5. Green, C., Brazier, J., & Deverill, M. (2000). Valuing health-related quality of life. A review of health state valuation techniques. Pharmacoeconomics, 17, 151–165.

    Article  PubMed  CAS  Google Scholar 

  6. Morimoto, T., & Fukui, T. (2002). Utilities measured by rating scale, time trade-off, and standard gamble: Review and reference for health care professionals. Journal of Epidemiology, 12, 160–178.

    Article  PubMed  Google Scholar 

  7. Mortimer, D., & Segal, L. (2008). Comparing the incomparable? A systematic review of competing techniques for converting descriptive measures of health status into QUALY-weights. Medical Decision Making, 28, 66–89.

    Article  PubMed  Google Scholar 

  8. Rehm, J., & Frick, U. (2010). Valuation of health states in the US study to establish disability weights: Lessons from the literature. International Journal of Methods in Psychiatric Research, 19, 18–33.

    Article  PubMed  Google Scholar 

  9. Ryan, M., Scott, D. A., Reeves, C., Bate, A., van Teijlingen, E. R., Russell, E. M., et al. (2001). Eliciting public preferences for healthcare: A systematic review of techniques. Health Technology Assessment, 5, 1–186.

    PubMed  CAS  Google Scholar 

  10. Broome, J. (2004). Weighing lives. Oxford: Oxford University Press.

    Book  Google Scholar 

  11. McIntosh, C. N., Connor Gorber, S., Bernier, J., & Berthelot, J. M. (2007). Eliciting Canadian population preferences for health states using the Classification and Measurement System of Functional Health (CLAMES). Chronic Diseases in Canada, 28, 29–41.

    PubMed  Google Scholar 

  12. Kopec, J., & Willison, K. (2003). A comparative review of four preference-weighted measures of health-related quality of life. Journal of Clinical Epidemiology, 56, 317–325.

    Article  PubMed  Google Scholar 

  13. Luo, N., Johnson, J. A., Shaw, J. W., & Coons, S. J. (2007). A comparison of EQ-5D index scores derived from the US and UK population-based scoring functions. Medical Decision Making, 27, 321–326.

    Article  Google Scholar 

  14. Stiggelbout, A., & de Vogel-Voogt, E. (2008). Health state utilities: A framework for studying the gap between the imagined and the real. Value in Health, 11, 76–87.

    Article  PubMed  Google Scholar 

  15. WHO. (2006). Basic documents (45th ed., Supplement). Geneva, Switzerland: WHO. http://www.who.int/governance/eb/who_constitution_en.pdf.

  16. Hughner, R. S., & Kleine, S. S. (2004). Views of health in the lay sector: A compilation and review of how individuals think about health. Health (London), 8, 395–422.

    Article  Google Scholar 

  17. Llewellyn-Thomas, H. (1996). Health state descriptions: Purposes, issues, a proposal. Medical Care, 34(12 Suppl), DS109–DS118.

    PubMed  CAS  Google Scholar 

  18. Revicki, D., & Kaplan, R. (1993). Relationship between psychometric and utility-based approaches to the measurement of health-related quality of life. Quality of Life Research, 2, 477–487.

    Article  PubMed  CAS  Google Scholar 

  19. Dolan, P. (2000). The measurement of health-related quality of life for use in resource allocation decisions in health care. In A. Culyer & J. Newhouse (Eds.), Handbook of health economics (pp. 1724–1760). Amsterdam: Elsevier.

    Google Scholar 

  20. Larson, J. S. (1999). The conceptualization of health. Medical Care Research and Review, 56, 123–136.

    Article  PubMed  CAS  Google Scholar 

  21. Francis, B., Dittrich, R., Hatzinger, R., & Penn, R. (2002). Analysing partial ranks by using smoothed paired comparison methods: An investigation of value orientation in Europe. Applied Statistics, 51, 319–336.

    Google Scholar 

  22. Hawthorne, G., Osborne, R. H., Taylor, A., & Sansoni, J. (2007). The SF36 Version 2: Critical analyses of population weights, scoring algorithms and population norms. Quality of Life Research, 16, 661–673.

    Article  PubMed  Google Scholar 

  23. Beals, J., Welty, T. K., Mitchell, C. M., Rhoades, D. A., Yeh, J. L., Henderson, J. A., et al. (2006). Different factor loadings for SF36: The Strong Heart Study and the National Survey of Functional Health Status. Journal of Clinical Epidemiology, 59, 208–215.

    Article  PubMed  Google Scholar 

  24. Jenkinson, C., Stewart-Brown, S., Petersen, S., & Paice, C. (1999). Assessment of the SF-36 version 2 in the United Kingdom. Journal of Epidemiology and Community Health, 53, 46–50.

    Article  PubMed  CAS  Google Scholar 

  25. House, J. S., Landis, K. R., & Umberson, D. (1988). Social relationships and health. Science, 241, 540–545.

    Article  PubMed  CAS  Google Scholar 

  26. Kunitz, S. J. (2004). Social capital and health. British Medical Bulletin, 69, 61–73.

    Article  PubMed  Google Scholar 

  27. Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40, 113–128.

    Article  PubMed  Google Scholar 

  28. Furlong, W. J., Feeny, D. H., Torrance, G. W., & Barr, R. D. (2001). The Health Utilities Index (HUI) system for assessing health-related quality of life in clinical studies. Annals of Medicine, 33, 375–384.

    Article  PubMed  CAS  Google Scholar 

  29. Ware, J., & Sherbourne, C. (1992). The MOS 36-item short form health survey (SF-36). I. Conceptual framework and item selection. Medical Care, 30, 473–483.

    Article  PubMed  Google Scholar 

  30. Brooks, R. (1996). EuroQoL: The current state of play. Health Policy, 37, 53–72.

    Article  PubMed  CAS  Google Scholar 

  31. EuroQoL Group. (1990). EuroQoL—A new facility for the measurement of health-related quality of life. Health Policy, 16, 199–208.

    Article  Google Scholar 

  32. Rabin, R., & de Charro, F. (2001). EQ-5D: A measure of health status from the EuroQoL group. Annals of Medicine, 33, 337–343.

    Article  PubMed  CAS  Google Scholar 

  33. WHO. (2001). International classification of functioning disability and health. Geneva: WHO.

    Google Scholar 

  34. Üstün, T. B., Kostanjsek, N., Chatterji, S., & Rehm, J. (2010). Measuring health and disability. Manual for WHO disability assessment schedule WHODAS 2.0. Geneva: WHO.

    Google Scholar 

  35. Üstün, T. B., Chatterji, S., Kostanjsek, N., Rehm, J., Kennedy, C., Epping-Jordan, J., et al. (2010). Developing the World Health Organization disability assessment schedule 2.0. Bulletin of the World Health Organization, 88, 815–823.

    Article  PubMed  Google Scholar 

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Acknowledgments

This article was funded by National Institute for Alcohol Abuse and Alcoholism; contract no. HHSN267200700041C.

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Correspondence to Ulrich Frick.

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Frick, U., Irving, H. & Rehm, J. Social relationships as a major determinant in the valuation of health states. Qual Life Res 21, 209–213 (2012). https://doi.org/10.1007/s11136-011-9945-0

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