title: Narrative review of frameworks for translating research evidence into policy and practice.
abstract: BACKGROUND
  A significant challenge in research translation is that interested parties interpret and apply the associated terms and conceptual frameworks in different ways. The purpose of this review was to: a) examine different research translation frameworks; b) examine the similarities and differences between the frameworks; and c) identify key strengths and weaknesses of the models when they are applied in practice.
  
  
  METHODS
  The review involved a keyword search of PubMed. The search string was (translational research OR knowledge translation OR evidence to practice) AND (framework OR model OR theory) AND (public health OR health promotion OR medicine). Included studies were published in English between January 1990 and December 2014, and described frameworks, models or theories associated with research translation.
  
  
  RESULTS
  The final review included 98 papers, and 41 different frameworks and models were identified. The most frequently applied knowledge translation framework in the literature was RE-AIM, followed by the knowledge translation continuum or 'T' models, the Knowledge to Action framework, the PARiHS framework, evidence based public health models, and the stages of research and evaluation model.
  
  
  CONCLUSIONS
  The models identified in this review stem from different fields, including implementation science, basic and medical sciences, health services research and public health, and propose different but related pathways to closing the research-practice gap.
authors.affiliation: NSW Ministry of Health, Sydney, Australia; Sydney Medical School, University of Sydney, NSW, Australia, amila@doh.health.nsw.gov.au.
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Milat
authors.affiliation: McMaster University, Ontario, Canada.
authors.forename: Ben
authors.initials: B
authors.lastname: Li
mesh_terms: D035843:Biomedical Research / Q000458:organization & administration; D019317:Evidence-Based Medicine / Q000458:organization & administration* / Q000639:trends; D006291:Health Policy; D006302:Health Services Research / Q000458:organization & administration* / Q000639:trends; D006801:Humans; D011314:Preventive Health Services / Q000458:organization & administration; D057170:Translational Research, Biomedical / Q000458:organization & administration* / Q000639:trends