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Mathematical modelling in tobacco control research: protocol for a systematic review
Shari Feirman1, Elisabeth Donaldson1, Jennifer Pearson1
1The Schroeder Institute for Tobacco Research and Policy Studies, Legacy, Washington DC, USA Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
BMJ Open
|April 17, 2015
Summary
This systematic review synthesizes mathematical modeling studies in tobacco control. It aims to provide a framework for understanding how these models predict tobacco use prevalence and associated costs.
Area of Science:
- Public Health
- Systems Science
- Health Economics
Background:
- Growing interest in systems science and mathematical modeling for tobacco control research.
- Lack of a comprehensive overview of mathematical modeling applications in tobacco control.
- Need to understand complex factors influencing tobacco use prevalence and costs.
Purpose of the Study:
- To systematically review studies using mathematical modeling to project tobacco-related outcomes.
- To propose a conceptual framework for categorizing modeling studies by objective.
- To inform policy and program decision-making in tobacco control.
Main Methods:
- Systematic literature review adhering to Cochrane procedures.
- Searches across 5 electronic databases for relevant studies.
- Qualitative synthesis of findings using data extraction based on ISPOR-SMDM Modeling Good Research Practices.
Main Results:
- Identification and synthesis of studies employing mathematical models in tobacco control.
- Categorization of studies based on their predictive objectives.
- Assessment of modeling approaches and their application to tobacco-related outcomes.
Conclusions:
- Mathematical modeling is a valuable tool for understanding and predicting tobacco use dynamics.
- A structured framework can enhance the evaluation and application of these models.
- Findings will guide future research and policy interventions in tobacco control.
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