Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/5171
Title: ApplicationsofComplexSystemsModelsto ImproveRetailFoodEnvironmentsforPopulation Health:AScopingReview
Authors: Winkler, Megan R
Mui, Yeeli
Hunt, Shanda L
Laska, Melissa N
Gittelsohn, Joel
Tracy, Melissa
Keywords: food environment
systematic review
agent-based modeling
system dynamics
simulation
microsimulation
networks
healthy retail
Issue Date: 2022
Abstract: Retailfoodenvironments(RFEs)arecomplexsystemswithimportantimplicationsforpopulationhealth.StudyingthecomplexitywithinRFEscomes with challenges. Complex systems models are computational tools that can help. We performed a systematic scoping review of studies that used complex systems models to study RFEs for population health. We examined the purpose for using the model, RFE features represented, extent to which the complex systems approach was maximized, and quality and transparency of methods employed. The PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) guidelines were followed. Studies using agent-based modeling, systemdynamics,discreteeventsimulations,networks,hybrid,ormicrosimulationmodelswereidentifiedfrom7multidisciplinarydatabases.Fiftysixstudiesmettheinclusioncriteria,including23microsimulation,13agent-based,10hybrid,4systemdynamics,4network,and2discreteevent simulationmodels.Moststudies(n=45)usedmodelsforexperimentalpurposesandevaluatedeffectsofsimulatedRFEpoliciesandinterventions. RFE characteristics simulated in models were diverse, and included the features (e.g., prices) customers encounter when shopping (n=55), the settings (e.g., restaurants, supermarkets) where customers purchase food and beverages (n=30), and the actors (e.g., store managers, suppliers) whomakedecisionsthatinfluenceRFEs(n=25).Allmodelsincorporatedcharacteristicsofcomplexity(e.g.,feedbacks,conceptualrepresentation of multiple levels), but these were captured to varying degrees across model types. The quality of methods was adequate overall; however, few studies engaged stakeholders (n=10) or provided sufficient transparency to verify the model (n=12). Complex systems models are increasingly utilizedtostudyRFEsandtheircontributionstopublichealth.Opportunitiestoadvancetheuseoftheseapproachesremain,andareastoimprove futureresearcharediscussed.ThiscomprehensivereviewprovidesthefirstmarkeroftheutilityofleveragingtheseapproachestoaddressRFEsfor populationhealth.
URI: http://localhost:8080/xmlui/handle/123456789/5171
Appears in Collections:VOL 13 NO 4 2022

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