Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/5171
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dc.contributor.authorWinkler, Megan R-
dc.contributor.authorMui, Yeeli-
dc.contributor.authorHunt, Shanda L-
dc.contributor.authorLaska, Melissa N-
dc.contributor.authorGittelsohn, Joel-
dc.contributor.authorTracy, Melissa-
dc.date.accessioned2023-06-26T04:32:59Z-
dc.date.available2023-06-26T04:32:59Z-
dc.date.issued2022-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/5171-
dc.description.abstractRetailfoodenvironments(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.en_US
dc.language.isoen_USen_US
dc.subjectfood environmenten_US
dc.subjectsystematic reviewen_US
dc.subjectagent-based modelingen_US
dc.subjectsystem dynamicsen_US
dc.subjectsimulationen_US
dc.subjectmicrosimulationen_US
dc.subjectnetworksen_US
dc.subjecthealthy retailen_US
dc.titleApplicationsofComplexSystemsModelsto ImproveRetailFoodEnvironmentsforPopulation Health:AScopingReviewen_US
dc.typeArticleen_US
Appears in Collections:VOL 13 NO 4 2022

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