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Multidimensional Profiles of Health Status: An Application of the Grade of Membership Model to the World Health Survey

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  • Alessandra Andreotti
  • Nadia Minicuci
  • Paul Kowal
  • Somnath Chatterji

Abstract

Background: The World Health Organization (WHO) conducted the World Health Survey (WHS) between 2002 and 2004 in 70 countries to provide cross-population comparable data on health, health-related outcomes and risk factors. The aim of this study was to apply Grade of Membership (GoM) modelling as a means to condense extensive health information from the WHS into a set of easily understandable health profiles and to assign the degree to which an individual belongs to each profile. Principal Findings: This paper described the application of the GoM models to summarize population health status using World Health Survey data. Grade of Membership analysis is a flexible, non-parametric, multivariate method, used to calculate health profiles from WHS self-reported health state and health conditions. The WHS dataset was divided into four country economic categories based on the World Bank economic groupings (high, upper-middle, lower-middle and low income economies) for separate GoM analysis. Three main health profiles were produced for each of the four areas: I. Robust; II. Intermediate; III. Frail; moreover population health, wealth and inequalities are defined for countries in each economic area as a means to put the health results into perspective. Conclusions: These analyses have provided a robust method to better understand health profiles and the components which can help to identify healthy and non-healthy individuals. The obtained profiles have described concrete levels of health and have clearly delineated characteristics of healthy and non-healthy respondents. The GoM results provided both a useable way of summarising complex individual health information and a selection of intermediate determinants which can be targeted for interventions to improve health. As populations' age, and with limited budgets for additional costs for health care and social services, applying the GoM methods may assist with identifying higher risk profiles for decision-making and resource allocations.

Suggested Citation

  • Alessandra Andreotti & Nadia Minicuci & Paul Kowal & Somnath Chatterji, 2009. "Multidimensional Profiles of Health Status: An Application of the Grade of Membership Model to the World Health Survey," PLOS ONE, Public Library of Science, vol. 4(2), pages 1-14, February.
    • Handle: RePEc:plo:pone00:0004426
    DOI: 10.1371/journal.pone.0004426
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    1. France Portrait & Maarten Lindeboom & Dorly Deeg, 1999. "Health and mortality of the elderly: the grade of membership method, classification and determination," Health Economics, John Wiley & Sons, Ltd., vol. 8(5), pages 441-458, August.
    2. World Bank, 2007. "World Development Indicators 2007," World Bank Publications - Books, The World Bank Group, number 8150.
    3. Lamb, Vicki L., 1996. "A cross-national study of quality of life factors associated with patterns of elderly disablement," Social Science & Medicine, Elsevier, vol. 42(3), pages 363-377, February.
    4. Paul McNamee, 2004. "A comparison of the grade of membership measure with alternative health indicators in explaining costs for older people," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 379-395, April.
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