title: Predicting research use in a public health policy environment: results of a logistic regression analysis.
abstract: BACKGROUND
  Use of research evidence in public health policy decision-making is affected by a range of contextual factors operating at the individual, organisational and external levels. Context-specific research is needed to target and tailor research translation intervention design and implementation to ensure that factors affecting research in a specific context are addressed. Whilst such research is increasing, there remain relatively few studies that have quantitatively assessed the factors that predict research use in specific public health policy environments.
  
  
  METHODS
  A quantitative survey was designed and implemented within two public health policy agencies in the Australian state of Victoria. Binary logistic regression analyses were conducted on survey data provided by 372 participants. Univariate logistic regression analyses of 49 factors revealed 26 factors that significantly predicted research use independently. The 26 factors were then tested in a single model and five factors emerged as significant predictors of research over and above all other factors.
  
  
  RESULTS
  The five key factors that significantly predicted research use were the following: relevance of research to day-to-day decision-making, skills for research use, internal prompts for use of research, intention to use research within the next 12 months and the agency for which the individual worked.
  
  
  CONCLUSIONS
  These findings suggest that individual- and organisational-level factors are the critical factors to target in the design of interventions aiming to increase research use in this context. In particular, relevance of research and skills for research use would be necessary to target. The likelihood for research use increased 11- and 4-fold for those who rated highly on these factors. This study builds on previous research and contributes to the currently limited number of quantitative studies that examine use of research evidence in a large sample of public health policy and program decision-makers within a specific context. The survey used in this study is likely to be relevant for use in other public health policy contexts.
authors.affiliation: School of Population and Global Health, University of Melbourne, Melbourne, Australia. pauline.zardo@gmail.com.|Institute for Safety, Compensation and Recovery Research (ISCRR), Monash University, Melbourne, 3004, Australia. pauline.zardo@gmail.com.|Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, 3004, Australia. pauline.zardo@gmail.com.
authors.forename: Pauline
authors.initials: P
authors.lastname: Zardo
authors.affiliation: Institute for Safety, Compensation and Recovery Research (ISCRR), Monash University, Melbourne, 3004, Australia. alex.collie@monash.edu.|Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, 3004, Australia. alex.collie@monash.edu.
authors.forename: Alex
authors.initials: A
authors.lastname: Collie
mesh_terms: D003657:Decision Making; D006077:Government Agencies / Q000706:statistics & numerical data; D019538:Health Care Surveys; D006291:Health Policy; D006302:Health Services Research / Q000706:statistics & numerical data*; D006801:Humans; D011634:Public Health / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012108:Research Personnel / Q000706:statistics & numerical data; D014739:Victoria