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Simulation models for socioeconomic inequalities in health : a systematic review

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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.
Keywords
models, simulations, health, socioeconomic, MARGINAL STRUCTURAL MODELS, AGENT-BASED MODEL, RESOURCE-ALLOCATION, UNITED-STATES, COST-EFFECTIVENESS, SMALL-AREA, CARE USE, EQUITY, MORTALITY, STRATEGIES

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MLA
Speybroeck, Niko, et al. “Simulation Models for Socioeconomic Inequalities in Health : A Systematic Review.” INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, edited by Ulf-G Gerdtham, vol. 10, no. 11, 2013, pp. 5750–80, doi:10.3390/ijerph10115750.
APA
Speybroeck, N., Van Malderen, C., Harper, S., Müller, B., & Devleesschauwer, B. (2013). Simulation models for socioeconomic inequalities in health : a systematic review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 10(11), 5750–5780. https://doi.org/10.3390/ijerph10115750
Chicago author-date
Speybroeck, Niko, Carine Van Malderen, Sam Harper, Birgit Müller, and Brecht Devleesschauwer. 2013. “Simulation Models for Socioeconomic Inequalities in Health : A Systematic Review.” Edited by Ulf-G Gerdtham. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 10 (11): 5750–80. https://doi.org/10.3390/ijerph10115750.
Chicago author-date (all authors)
Speybroeck, Niko, Carine Van Malderen, Sam Harper, Birgit Müller, and Brecht Devleesschauwer. 2013. “Simulation Models for Socioeconomic Inequalities in Health : A Systematic Review.” Ed by. Ulf-G Gerdtham. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 10 (11): 5750–5780. doi:10.3390/ijerph10115750.
Vancouver
1.
Speybroeck N, Van Malderen C, Harper S, Müller B, Devleesschauwer B. Simulation models for socioeconomic inequalities in health : a systematic review. Gerdtham U-G, editor. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. 2013;10(11):5750–80.
IEEE
[1]
N. Speybroeck, C. Van Malderen, S. Harper, B. Müller, and B. Devleesschauwer, “Simulation models for socioeconomic inequalities in health : a systematic review,” INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, vol. 10, no. 11, pp. 5750–5780, 2013.
@article{4178547,
  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.}},
  author       = {{Speybroeck, Niko and Van Malderen, Carine and Harper, Sam and Müller, Birgit and Devleesschauwer, Brecht}},
  editor       = {{Gerdtham, Ulf-G}},
  issn         = {{1660-4601}},
  journal      = {{INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH}},
  keywords     = {{models,simulations,health,socioeconomic,MARGINAL STRUCTURAL MODELS,AGENT-BASED MODEL,RESOURCE-ALLOCATION,UNITED-STATES,COST-EFFECTIVENESS,SMALL-AREA,CARE USE,EQUITY,MORTALITY,STRATEGIES}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{5750--5780}},
  title        = {{Simulation models for socioeconomic inequalities in health : a systematic review}},
  url          = {{http://dx.doi.org/10.3390/ijerph10115750}},
  volume       = {{10}},
  year         = {{2013}},
}

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