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10.1007/s12529-014-9417-3 http://scihub22266oqcxt.onion/10.1007/s12529-014-9417-3 C4363012!4363012!24852184     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Behav+Med 2015 ; 22 (3): 283-91 Nephropedia Template TP {{tp|p=24852184|t=2015. Enhancing Dissemination and Implementation Research Using Systems Science Methods |pdf=|usr=}}{{24852184}} gab.com Text Enhancing Dissemination and Implementation Research Using Systems Science Methods JO: Int J Behav Med http://www.kidney.de/pget.php?&tw=1&pmid=24852184 #FOAvip PURPOSE: 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. METHODS: 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. CONCLUSIONS: 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. Twit Text FOAVip Enhancing Dissemination and Implementation Research Using Systems Science Methods ????Int J Behav Med http://www.kidney.de/pget.php?&tw=1&pmid=24852184 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24852184 #FOAvip English Wikipedia <ref>{{Cite pmid|24852184}}</ref> Enhancing Dissemination and Implementation Research Using Systems Science Methods #MMPMID24852184 Burke JG; Lich KH; Neal JW; Meissner HI; Yonas M; Mabry PL Int J Behav Med 2015[Jun]; 22 (3): 283-91 PMID24852184show ga PURPOSE: 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. METHODS: 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. CONCLUSIONS: 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. äEnhancing Dissemination and Implementation Research Using Systems Scie(epmc).pdf DeepDyve Pubget Overpricing