IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v10y2013i11p5750-5780d30135.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/10/11/5750/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/10/11/5750/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Srinivas, Goli, 2014. "Demographic convergence and its linkage with health inequalities in India," MPRA Paper 79823, University Library of Munich, Germany, revised 05 Dec 2014.
    2. José Antonio Rodríguez Martín & Juan Dios Jiménez Aguilera & José Antonio Salinas Fernández & José María Martín Martín, 2016. "Millennium Development Goals 4 and 5: Progress in the Least Developed Countries of Asia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 489-504, November.
    3. Madhu Gupta & Federica Angeli & Hans Bosma & Monica Rana & Shankar Prinja & Rajesh Kumar & Onno C P van Schayck, 2016. "Effectiveness of Multiple-Strategy Community Intervention in Reducing Geographical, Socioeconomic and Gender Based Inequalities in Maternal and Child Health Outcomes in Haryana, India," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-13, March.
    4. Wiktoria Wróblewska, 2012. "Nierówności społeczne w stanie zdrowia w Polsce – analiza na podstawie samooceny stanu zdrowia oraz poziomu wykształcenia," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 28, pages 65-84.
    5. Mohammad Zahid Siddiqui & Srinivas Goli & Tamal Reja & Riddhi Doshi & Swastika Chakravorty & Chhavi Tiwari & Nomita P. Kumar & Deepshikha Singh, 2017. "Prevalence of Anemia and Its Determinants Among Pregnant, Lactating, and Nonpregnant Nonlactating Women in India," SAGE Open, , vol. 7(3), pages 21582440177, August.
    6. N. Speybroeck & S. Harper & D. Savigny & C. Victora, 2012. "Inequalities of health indicators for policy makers: six hints," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(5), pages 855-858, October.
    7. Rafael Plessow & Narendra Kumar Arora & Beatrice Brunner & Christina Tzogiou & Klaus Eichler & Urs Brügger & Simon Wieser, 2015. "Social Costs of Iron Deficiency Anemia in 6–59-Month-Old Children in India," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    8. Randive, Bharat & San Sebastian, Miguel & De Costa, Ayesha & Lindholm, Lars, 2014. "Inequalities in institutional delivery uptake and maternal mortality reduction in the context of cash incentive program, Janani Suraksha Yojana: Results from nine states in India," Social Science & Medicine, Elsevier, vol. 123(C), pages 1-6.
    9. Shreya Banerjee & Indrani Roy Chowdhury, 2020. "Inequities in curative health-care utilization among the adult population (20–59 years) in India: A comparative analysis of NSS 71st (2014) and 75th (2017–18) rounds," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-23, November.
    10. Md. Nuruzzaman Khan & Pushpendra Kumar & Md. Mijanur Rahman & Md. Nazrul Islam Mondal & M. Mofizul Islam, 2020. "Inequalities in Utilization of Maternal Reproductive Health Care Services in Urban Bangladesh: A Population-Based Study," SAGE Open, , vol. 10(1), pages 21582440209, March.
    11. Meena Sehgal & Santosh Jatrana & Louise Johnson, 2024. "A comprehensive health index for India: development, validation, and spatial variation," Journal of Population Research, Springer, vol. 41(3), pages 1-31, September.
    12. 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.
    13. Aneela Sultana & Mahwish Zeeshan & Sohima Anzak, 2022. "A Phenomenological Analysis of Rural Women’s Childbirth Preferences," SAGE Open, , vol. 12(1), pages 21582440221, March.
    14. Toshiaki Aizawa, 2019. "Transition of the BMI distribution in India: evidence from a distributional decomposition analysis," Journal of Bioeconomics, Springer, vol. 21(1), pages 3-36, April.
    15. Dieter Vanderelst & Niko Speybroeck, 2014. "Loading, merging and analysing demographic and health surveys using R," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(2), pages 415-422, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:10:y:2013:i:11:p:5750-5780:d:30135. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.