• Colleen Y Taylor, Jiunn-Jye Sheu, Huey-Shys Chen, Tavis Glassman, and Joseph Dake.
• Colleen Y. Taylor, PhD, MSN, RN, FNP-C, Assistant Professor, College of Nursing, University of Toledo, Toledo, OH. Jiunn-Jye Sheu, PhD, MCHES, Associate Professor, School of Population Health, College of Health and Human Services, University of Toledo, Toledo, OH. Huey-Shys Chen, PhD, RN, MCHES, FAAN, Associate Dean of Research and Scholarship, Professor, College of Nursing, University of Toledo, Toledo, OH. Tavis Glassman, PhD, MPH, MSEd, MCHES, CCPH, Associate Professor Health Education/Public Health, School of Population Health, College of Health and Human Services, University of Toledo, Toledo, OH. Joseph Dake, PhD, MPH, FASHA, Professor and Chair, Department of Health and Recreation Professions, University of Toledo, Toledo, OH.
• Orthop Nurs. 2017 Nov 1; 36 (6): 392-399.

BackgroundPatients undergoing orthopaedic surgery experience severe postoperative pain that is frequently undertreated. No study was found that examined the predictors of nurses' intentions to administer as needed (PRN) opioid analgesics for postoperative pain relief.PurposeThe purpose of this study was to determine what constructs from the Integrated Behavioral Model (IBM) can predict nurses' intentions to administer PRN opioid analgesics for pain relief to hospitalized postoperative orthopaedic patients.MethodsA nonexperimental, cross-sectional quantitative format was used. The sample consisted of 800 nurses. Data collection was done by survey.ResultsPath analysis revealed the significant predictors of nurses' intention to administer opioid analgesics to be self-efficacy (β= 0.15), normative beliefs (β= 0.21), and salience (importance) of the behavior (β= 0.25).ConclusionThe study showed that the IBM constructs are useful for predicting intentions toward performance of a professional behavior. The inclusion of self-efficacy, underlying beliefs, and salience of the behavior was new and unique contributions to the existing body of knowledge.

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