Enhancing Dissemination and Implementation Research Using Systems Science Methods.
Background: Dissemination and implementation (D&I) research seeks to understand and overcome barriers to adoption of behavioral interventions that address complex problems, specifically interventions that arise from multiple interacting influences crossing socio-ecological levels. It is often diffic...
| Publicado en: | International Journal of Behavioral Medicine Vol. 22; no. 3; pp. 283 - 292 |
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| Autores principales: | , , , , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103806111&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103806111 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10705503 7M2 jtl: International Journal of Behavioral Medicine issn: 10705503 maglogo: N pubinfo: dt: Jun2015 vid: 22 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 103806111 102957381 10.1007/s12529-014-9417-3 NLM24852184 103806111 ppf: 283 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Enhancing Dissemination and Implementation Research Using Systems Science Methods. aug: au: Burke, Jessica Lich, Kristen Neal, Jennifer Meissner, Helen Yonas, Michael Mabry, Patricia affil: University of Pittsburgh, Pittsburgh 15260 USA sug: subj: Diffusion of Innovation Community Health Services Administration Health Services Research Systems Analysis Case Studies Health Policy Research Methodology Social Networks Treatment Outcomes Models, Theoretical Program Implementation Program Evaluation Behavior Therapy ab: Background: Dissemination and implementation (D&I) research seeks to understand and overcome barriers to adoption of behavioral interventions that address complex problems, specifically interventions that arise from multiple interacting influences crossing socio-ecological levels. It is often difficult for research to accurately represent and address the complexities of the real world, and traditional methodological approaches are generally inadequate for this task. Systems science methods, expressly designed to study complex systems, can be effectively employed for an improved understanding about dissemination and implementation of evidence-based interventions. Purpose: The aims of this study were to understand the complex factors influencing successful D&I of programs in community settings and to identify D&I challenges imposed by system complexity. Method: Case examples of three systems science methods-system dynamics modeling, agent-based modeling, and network analysis-are used to illustrate how each method can be used to address D&I challenges. Results: The case studies feature relevant behavioral topical areas: chronic disease prevention, community violence prevention, and educational intervention. To emphasize consistency with D&I priorities, the discussion of the value of each method is framed around the elements of the established Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework. Conclusion: Systems science methods can help researchers, public health decision makers, and program implementers to understand the complex factors influencing successful D&I of programs in community settings and to identify D&I challenges imposed by system complexity. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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