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Measuring Social Exclusion in Routine Public Health Surveys: Construction of a Multidimensional Instrument

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  • Addi P L van Bergen
  • Stella J M Hoff
  • Erik J C van Ameijden
  • Albert M van Hemert

Abstract

Introduction: Social exclusion is considered a major factor in the causation and maintenance of health inequalities, but its measurement in health research is still in its infancy. In the Netherlands the Institute for Social Research (SCP) developed an instrument to measure the multidimensional concept of social exclusion in social and economic policy research. Here, we present a method to construct a similar measure of social exclusion using available data from public health surveys. Methods: Analyses were performed on data from the health questionnaires that were completed by 20,877 adults in the four largest cities in the Netherlands. From each of the four questionnaires we selected the items that corresponded to those of the SCP-instrument. These were entered into a nonlinear canonical correlation analysis. The measurement properties of the resulting indices and dimension scales were assessed and compared to the SCP-instrument. Results: The internal consistency of the indices and most of the dimension scales were adequate and the internal structure of the indices was as expected. Both generalisabiliy and construct validity were good: in all datasets strong associations were found between the index and a number of known risk factors of social exclusion. A limitation of content validity was that the dimension “lack of normative integration” could not be measured, because no relevant items were available. Conclusions: Our findings indicate that a measure for social exclusion can be constructed with available health questionnaires. This provides opportunities for application in public health surveillance systems in the Netherlands and elsewhere in the world.

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  • Addi P L van Bergen & Stella J M Hoff & Erik J C van Ameijden & Albert M van Hemert, 2014. "Measuring Social Exclusion in Routine Public Health Surveys: Construction of a Multidimensional Instrument," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-11, May.
  • Handle: RePEc:plo:pone00:0098680
    DOI: 10.1371/journal.pone.0098680
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    References listed on IDEAS

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    1. Valentina Minardi & Stefano Campostrini & Giuliano Carrozzi & Giada Minelli & Stefania Salmaso, 2011. "Social determinants effects from the Italian risk factor surveillance system PASSI," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(4), pages 359-366, August.
    2. J. Vrooman & Stella Hoff, 2013. "The Disadvantaged Among the Dutch: A Survey Approach to the Multidimensional Measurement of Social Exclusion," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(3), pages 1261-1287, September.
    3. Rosanna Scutella & Roger Wilkins & Michael Horn, 2009. "Measuring Poverty and Social Exclusion in Australia: A Proposed Multidimensional Framework for Identifying Socio-Economic Disadvantage," Melbourne Institute Working Paper Series wp2009n04, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
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    1. Reinie Cordier & Ben Milbourn & Robyn Martin & Angus Buchanan & Donna Chung & Renée Speyer, 2017. "A systematic review evaluating the psychometric properties of measures of social inclusion," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-37, June.
    2. Patrick O’Donnell & Lisa Moran & Stefan Geelen & Diarmuid O’Donovan & Maria van den Muijsenbergh & Khalifa Elmusharaf, 2021. "“There is people like us and there is people like them, and we are not like them.” Understating social exclusion – a qualitative study," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-19, June.
    3. Sofie Van Regenmortel & Liesbeth De Donder & An-Sofie Smetcoren & Deborah Lambotte & Nico De Witte & Dominique Verté, 2018. "Accumulation of Disadvantages: Prevalence and Categories of Old-Age Social Exclusion in Belgium," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 1173-1194, December.
    4. Özcan Erdem & Frank J Van Lenthe & Rick G Prins & Toon A J J Voorham & Alex Burdorf, 2016. "Socioeconomic Inequalities in Psychological Distress among Urban Adults: The Moderating Role of Neighborhood Social Cohesion," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-15, June.
    5. Víctor M. Giménez-Bertomeu & Yolanda Domenech-López & Miguel A. Mateo-Pérez & Nicolás de-Alfonseti-Hartmann, 2019. "Empirical Evidence for Professional Practice and Public Policies: An Exploratory Study on Social Exclusion in Users of Primary Care Social Services in Spain," IJERPH, MDPI, vol. 16(23), pages 1-15, November.

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