Mathematical modeling in tobacco control research

Initial Results From a Systematic Review

Shari P. Feirman, Elisabeth Donaldson, Allison M. Glasser, Jennifer L. Pearson, Raymond Niaura, Shyanika W. Rose, David Abrams, Andrea C. Villanti

Research output: Contribution to journalReview article

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 tobaccorelated 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.

Original languageEnglish (US)
Pages (from-to)229-242
Number of pages14
JournalNicotine and Tobacco Research
Volume18
Issue number3
DOIs
StatePublished - 2016

Fingerprint

Tobacco
Research
Theoretical Models
Aptitude
Tobacco Use
United States Food and Drug Administration
Economics
Research Personnel
Databases
Morbidity
Mortality

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

Feirman, S. P., Donaldson, E., Glasser, A. M., Pearson, J. L., Niaura, R., Rose, S. W., ... Villanti, A. C. (2016). Mathematical modeling in tobacco control research: Initial Results From a Systematic Review. Nicotine and Tobacco Research, 18(3), 229-242. https://doi.org/10.1093/ntr/ntv104

Mathematical modeling in tobacco control research : Initial Results From a Systematic Review. / Feirman, Shari P.; Donaldson, Elisabeth; Glasser, Allison M.; Pearson, Jennifer L.; Niaura, Raymond; Rose, Shyanika W.; Abrams, David; Villanti, Andrea C.

In: Nicotine and Tobacco Research, Vol. 18, No. 3, 2016, p. 229-242.

Research output: Contribution to journalReview article

Feirman, SP, Donaldson, E, Glasser, AM, Pearson, JL, Niaura, R, Rose, SW, Abrams, D & Villanti, AC 2016, 'Mathematical modeling in tobacco control research: Initial Results From a Systematic Review', Nicotine and Tobacco Research, vol. 18, no. 3, pp. 229-242. https://doi.org/10.1093/ntr/ntv104
Feirman, Shari P. ; Donaldson, Elisabeth ; Glasser, Allison M. ; Pearson, Jennifer L. ; Niaura, Raymond ; Rose, Shyanika W. ; Abrams, David ; Villanti, Andrea C. / Mathematical modeling in tobacco control research : Initial Results From a Systematic Review. In: Nicotine and Tobacco Research. 2016 ; Vol. 18, No. 3. pp. 229-242.
@article{d7ebb3e2c31248a2b7311016c4c76350,
title = "Mathematical modeling in tobacco control research: Initial Results From a Systematic Review",
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 tobaccorelated 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.",
author = "Feirman, {Shari P.} and Elisabeth Donaldson and Glasser, {Allison M.} and Pearson, {Jennifer L.} and Raymond Niaura and Rose, {Shyanika W.} and David Abrams and Villanti, {Andrea C.}",
year = "2016",
doi = "10.1093/ntr/ntv104",
language = "English (US)",
volume = "18",
pages = "229--242",
journal = "Nicotine and Tobacco Research",
issn = "1462-2203",
publisher = "Oxford University Press",
number = "3",

}

TY - JOUR

T1 - Mathematical modeling in tobacco control research

T2 - Initial Results From a Systematic Review

AU - Feirman, Shari P.

AU - Donaldson, Elisabeth

AU - Glasser, Allison M.

AU - Pearson, Jennifer L.

AU - Niaura, Raymond

AU - Rose, Shyanika W.

AU - Abrams, David

AU - Villanti, Andrea C.

PY - 2016

Y1 - 2016

N2 - 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 tobaccorelated 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.

AB - 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 tobaccorelated 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.

UR - http://www.scopus.com/inward/record.url?scp=84962911434&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84962911434&partnerID=8YFLogxK

U2 - 10.1093/ntr/ntv104

DO - 10.1093/ntr/ntv104

M3 - Review article

VL - 18

SP - 229

EP - 242

JO - Nicotine and Tobacco Research

JF - Nicotine and Tobacco Research

SN - 1462-2203

IS - 3

ER -