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An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
Published on: January 27, 2010
Use of three evidence-based postoperative pain assessment practices by registered nurses
1School of Nursing, Northern Illinois University, DeKalb, Illinois 60115, USA. clcarlson@niu.edu
Abstract:
To provide optimal postoperative pain relief, nursing practice should be based on the best evidence available. For over 20 years, results of studies regarding nurses' use of evidence-based practices, including postoperative pain assessment practices, have shown that nurses use the practices inconsistently. The present cross-sectional survey study was conducted to: 1) determine the extent to which registered nurses caring for postoperative patients experiencing pain used three evidence-based postoperative pain assessment practices; and 2) identify relationships among the level of adoption of evidence-based postoperative pain assessment practices and selected characteristics of registered nurses. Data were collected from a convenience sample of all nurses caring for adult postoperative patients in two Midwestern hospitals where 443 surveys (46.9%) were returned. Respondents were aware of, but not using, three evidence-based postoperative pain assessment practices consistently. Registered nurses who used multiple sources to identify solutions to clinical practice problems or read one or two professional journals regularly were more likely to have adopted the three evidence-based postoperative pain assessment practices. Registered nurses need to be encouraged to use multiple sources to identify solutions to clinical practice problems, including professional nursing journals. Innovative approaches to promote the application of research to education and practice settings are needed. It is important to identify opinion leaders, because opinion leaders are an important resource in overcoming the barriers so that adoption of pain of evidence-based postoperative pain assessment practices can proceed. Additional research is needed to identify what variables effect the adoption of evidence-based practices and identify interventions to improve the level of adoption.
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