Development and validation of a derived measure of research utilization by nurses

  • Wallin L
  • Estabrooks C
  • Midodzi W
 et al. 
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b Background: Theoretical models are needed to guide strate-gies for the implementation of research into clinical practice. To develop and test such models, including analyses of complex theoretical constructs and causal relationships, rich datasets are needed. Working with existing datasets may mean that important variables are lacking. b Objective: The aim of this study was to derive a nursing research utilization variable and validate it using the Promoting Action on Research Implementation in Health Services (PARIHS) conceptual framework on research implementation. b Methods: This study was based on data from two surveys of registered nurses. The first survey (1996; N = 600) con-tained robust research utilization variables but few organi-zational variables. The second (1998; N = 6,526) was rich in organizational variables but contained no research uti-lization variables. A linear regression model with predictors common to both datasets was used to derive a research utilization variable in the 1998 dataset. To validate these scores, four separate procedures based on the hypothesis of a positive relationship between context and research utilization were completed. Mutually exclusive groups reflecting various levels of context were created to accomplish these procedures. b Results: The derived research utilization variable was suc-cessfully mapped onto the cases in the 1998 dataset. The derived scores ranged from 0.21 to 21.40, with a mean of 10.85 (SD = 3.23). The mean score per subgroup ranged from 8.28 for the lowest context group to 12.75 for the highest context group. One of the validation procedures showed that significant differences in mean research uti-lization existed only among four conceptually unique con-text groups (p G .001). These groups showed a positive incremental relationship in research utilization (p G .001; the better the context, the higher the research utilization score). The validity of the derived variable was supported by using the three remaining validation procedures. b Discussion: The successful creation and validation of a derived research utilization variable will enable advanced

Author-supplied keywords

  • Diffusion of innovation
  • Econometrics
  • Evidencebased medicine
  • Models

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