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Mathematical Modeling in Tobacco Control Research: Initial Results From a Systematic Review.
Feirman, Shari P; Donaldson, Elisabeth; Glasser, Allison M; Pearson, Jennifer L; Niaura, Ray; Rose, Shyanika W; Abrams, David B; Villanti, Andrea C.
Affiliation
  • Feirman SP; The Schroeder Institute for Tobacco Research and Policy Studies, Legacy, Washington, DC; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD;
  • Donaldson E; The Schroeder Institute for Tobacco Research and Policy Studies, Legacy, Washington, DC; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD;
  • Glasser AM; The Schroeder Institute for Tobacco Research and Policy Studies, Legacy, Washington, DC;
  • Pearson JL; The Schroeder Institute for Tobacco Research and Policy Studies, Legacy, Washington, DC; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD;
  • Niaura R; The Schroeder Institute for Tobacco Research and Policy Studies, Legacy, Washington, DC; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.
  • Rose SW; The Schroeder Institute for Tobacco Research and Policy Studies, Legacy, Washington, DC;
  • Abrams DB; The Schroeder Institute for Tobacco Research and Policy Studies, Legacy, Washington, DC; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC.
  • Villanti AC; The Schroeder Institute for Tobacco Research and Policy Studies, Legacy, Washington, DC; Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; avillanti@legacyforhealth.org.
Nicotine Tob Res ; 18(3): 229-42, 2016 Mar.
Article in En | MEDLINE | ID: mdl-25977409
ABSTRACT

OBJECTIVES:

The US Food and Drug Administration has expressed interest in using mathematical models to evaluate potential tobacco policies. The goal of this systematic review was to synthesize data from tobacco control studies that employ mathematical models.

METHODS:

We searched five electronic databases on July 1, 2013 to identify published studies that used a mathematical model to project a tobacco-related outcome and developed a data extraction form based on the ISPOR-SMDM Modeling Good Research Practices. We developed an organizational framework to categorize these studies and identify models employed across multiple papers. We synthesized results qualitatively, providing a descriptive synthesis of included studies.

RESULTS:

The 263 studies in this review were heterogeneous with regard to their methodologies and aims. We used the organizational framework to categorize each study according to its objective and map the objective to a model outcome. We identified two types of study objectives (trend and policy/intervention) and three types of model outcomes (change in tobacco use behavior, change in tobacco-related morbidity or mortality, and economic impact). Eighteen models were used across 118 studies.

CONCLUSIONS:

This paper extends conventional systematic review methods to characterize a body of literature on mathematical modeling in tobacco control. The findings of this synthesis can inform the development of new models and the improvement of existing models, strengthening the ability of researchers to accurately project future tobacco-related trends and evaluate potential tobacco control policies and interventions. These findings can also help decision-makers to identify and become oriented with models relevant to their work.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tobacco Use Disorder / United States Food and Drug Administration / Biomedical Research / Models, Theoretical Type of study: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limits: Humans Country/Region as subject: America do norte Language: En Journal: Nicotine Tob Res Journal subject: SAUDE PUBLICA Year: 2016 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tobacco Use Disorder / United States Food and Drug Administration / Biomedical Research / Models, Theoretical Type of study: Diagnostic_studies / Prognostic_studies / Systematic_reviews Limits: Humans Country/Region as subject: America do norte Language: En Journal: Nicotine Tob Res Journal subject: SAUDE PUBLICA Year: 2016 Type: Article