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Simulation Models for Socioeconomic Inequalities in Health: A Systematic Review

Author

Listed:
  • Niko Speybroeck

    (Institute of Health and Society (IRSS), Université Catholique de Louvain, Brussels 1200, Belgium
    These authors contributed equally to this work.)

  • Carine Van Malderen

    (Institute of Health and Society (IRSS), Université Catholique de Louvain, Brussels 1200, Belgium
    These authors contributed equally to this work.)

  • Sam Harper

    (Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, QC H3A0G4, Canada)

  • Birgit Müller

    (Department Ecological Modelling, Helmholtz Centre for Environmental Research—UFZ, Leipzig 04318, Germany)

  • Brecht Devleesschauwer

    (Institute of Health and Society (IRSS), Université Catholique de Louvain, Brussels 1200, Belgium
    Department of Virology, Parasitology and Immunology, Faculty of Veterinary Medicine, Ghent University, Ghent 9000, Belgium)

Abstract

Background : The emergence and evolution of socioeconomic inequalities in health involves multiple factors interacting with each other at different levels. Simulation models are suitable for studying such complex and dynamic systems and have the ability to test the impact of policy interventions in silico . Objective : To explore how simulation models were used in the field of socioeconomic inequalities in health. Methods : An electronic search of studies assessing socioeconomic inequalities in health using a simulation model was conducted. Characteristics of the simulation models were extracted and distinct simulation approaches were identified. As an illustration, a simple agent-based model of the emergence of socioeconomic differences in alcohol abuse was developed. Results : We found 61 studies published between 1989 and 2013. Ten different simulation approaches were identified. The agent-based model illustration showed that multilevel, reciprocal and indirect effects of social determinants on health can be modeled flexibly. Discussion and Conclusions : Based on the review, we discuss the utility of using simulation models for studying health inequalities, and refer to good modeling practices for developing such models. The review and the simulation model example suggest that the use of simulation models may enhance the understanding and debate about existing and new socioeconomic inequalities of health frameworks.

Suggested Citation

  • Niko Speybroeck & Carine Van Malderen & Sam Harper & Birgit Müller & Brecht Devleesschauwer, 2013. "Simulation Models for Socioeconomic Inequalities in Health: A Systematic Review," IJERPH, MDPI, vol. 10(11), pages 1-31, November.
    • Handle: RePEc:gam:jijerp:v:10:y:2013:i:11:p:5750-5780:d:30135
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    References listed on IDEAS

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    1. Srinivas Goli & Riddhi Doshi & Arokiasamy Perianayagam, 2013. "Pathways of Economic Inequalities in Maternal and Child Health in Urban India: A Decomposition Analysis," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-8, March.
    2. Niko Speybroeck & Peter Konings & John Lynch & Sam Harper & Dirk Berkvens & Vincent Lorant & Andrea Geckova & Ahmad Hosseinpoor, 2010. "Decomposing socioeconomic health inequalities," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 55(4), pages 347-351, August.
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    Cited by:

    1. Jennifer Boyd & Rebekah Wilson & Corinna Elsenbroich & Alison Heppenstall & Petra Meier, 2022. "Agent-Based Modelling of Health Inequalities following the Complexity Turn in Public Health: A Systematic Review," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    2. Jennifer Boyd & Clare Bambra & Robin C. Purshouse & John Holmes, 2021. "Beyond Behaviour: How Health Inequality Theory Can Enhance Our Understanding of the ‘Alcohol-Harm Paradox’," IJERPH, MDPI, vol. 18(11), pages 1-12, June.
    3. Mary Luz Mouronte-López & Juana Savall Ceres, 2024. "Exploring socioeconomic similarity-inequality: a regional perspective," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.

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