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An ordinal measure of population health

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  • Héctor Pifarré i Arolas

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Christian Dudel

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

We propose a population-level health index that addresses two of the main concerns of existing health measures: (1) the biases in self-assessed health measures, and (2) the difficulties associated with making comparisons across populations afflicted by a variety of conditions in a context in which multi-morbidity is high. Starting from a set of general axioms, we derive a partial order index that ranks health across populations based on the relative prevalence of various conditions within these populations, and that can be readily applied to many existing health surveys. We illustrate the use of our health measure by applying it to data from the National Health Interview Survey in order to examine health differences across racial groups in the U.S.
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Suggested Citation

  • Héctor Pifarré i Arolas & Christian Dudel, 2017. "An ordinal measure of population health," MPIDR Working Papers WP-2017-010, Max Planck Institute for Demographic Research, Rostock, Germany.
  • Handle: RePEc:dem:wpaper:wp-2017-010
    DOI: 10.4054/MPIDR-WP-2017-010
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    1. Johnston, David W. & Propper, Carol & Shields, Michael A., 2009. "Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient," Journal of Health Economics, Elsevier, vol. 28(3), pages 540-552, May.
    2. van Doorslaer, Eddy & Gerdtham, Ulf-G., 2003. "Does inequality in self-assessed health predict inequality in survival by income? Evidence from Swedish data," Social Science & Medicine, Elsevier, vol. 57(9), pages 1621-1629, November.
    3. Nancy J. Devlin & Richard Brooks, 2017. "EQ-5D and the EuroQol Group: Past, Present and Future," Applied Health Economics and Health Policy, Springer, vol. 15(2), pages 127-137, April.
    4. Humphries, Karin H. & van Doorslaer, Eddy, 2000. "Income-related health inequality in Canada," Social Science & Medicine, Elsevier, vol. 50(5), pages 663-671, March.
    5. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    6. Fabrice Etilé & Carine Milcent, 2006. "Income‐related reporting heterogeneity in self‐assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981, September.
    7. Arndt, Channing & Distante, Roberta & Hussain, M. Azhar & Østerdal, Lars Peter & Huong, Pham Lan & Ibraimo, Maimuna, 2012. "Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty," World Development, Elsevier, vol. 40(11), pages 2290-2301.
    8. Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981.
    9. M. Azhar Hussain & Mette Møller Jørgensen & Lars Peter Østerdal, 2016. "Refining Population Health Comparisons: A Multidimensional First Order Dominance Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 739-759, November.
    10. Braveman, P.A. & Cubbin, C. & Egerter, S. & Williams, D.R. & Pamuk, E., 2010. "Socioeconomic disparities in health in the united States: What the patterns tell us," American Journal of Public Health, American Public Health Association, vol. 100(S1), pages 186-196.
    11. repec:unu:wpaper:wp2012-36 is not listed on IDEAS
    12. Carmen Herrero & Antonio Villar, 2013. "On the Comparison of Group Performance with Categorical Data," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-7, December.
    13. Arndt, Channing & Distante, Roberta & Hussain, M. Azhar & Østerdal, Lars Peter & Huong, Pham Lan & Ibraimo, Maimuna, 2012. "Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty," World Development, Elsevier, vol. 40(11), pages 2290-2301.
    14. Weimann, Amy & Dai, Dajun & Oni, Tolu, 2016. "A cross-sectional and spatial analysis of the prevalence of multimorbidity and its association with socioeconomic disadvantage in South Africa: A comparison between 2008 and 2012," Social Science & Medicine, Elsevier, vol. 163(C), pages 144-156.
    15. Marengoni, A. & Winblad, B. & Karp, A. & Fratiglioni, L., 2008. "Prevalence of chronic diseases and multimorbidity among the elderly population in Sweden," American Journal of Public Health, American Public Health Association, vol. 98(7), pages 1198-1200.
    16. Nancy J. Devlin & Koonal K. Shah & Yan Feng & Brendan Mulhern & Ben van Hout, 2018. "Valuing health‐related quality of life: An EQ‐5D‐5L value set for England," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 7-22, January.
    17. Iñaki Permanyer & M. Azhar Hussain, 2018. "First Order Dominance Techniques and Multidimensional Poverty Indices: An Empirical Comparison of Different Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(3), pages 867-893, June.
    18. 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, March.
    19. Marco Fattore, 2016. "Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 835-858, September.
    20. Brilleman, Samuel L. & Gravelle, Hugh & Hollinghurst, Sandra & Purdy, Sarah & Salisbury, Chris & Windmeijer, Frank, 2014. "Keep it simple? Predicting primary health care costs with clinical morbidity measures," Journal of Health Economics, Elsevier, vol. 35(C), pages 109-122.
    21. Marco Fattore & Alberto Arcagni, 2018. "A Reduced Posetic Approach to the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1053-1070, April.
    22. Abraído-Lanza, A.F. & Dohrenwend, B.P. & Ng-Mak, D.S. & Turner, J.B., 1999. "The Latino mortality paradox: A test of the 'salmon bias' and healthy migrant hypotheses," American Journal of Public Health, American Public Health Association, vol. 89(10), pages 1543-1548.
    23. Burgard, Sarah A. & Chen, Patricia V., 2014. "Challenges of health measurement in studies of health disparities," Social Science & Medicine, Elsevier, vol. 106(C), pages 143-150.
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    Cited by:

    1. Herrero, Carmen & Villar, Antonio, 2021. "Group decisions from individual rankings: The Borda–Condorcet rule," European Journal of Operational Research, Elsevier, vol. 291(2), pages 757-765.

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    • Z0 - Other Special Topics - - General

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