Predictors of Nurses' Intentions to Administer As-Needed Opioid Analgesics for Pain Relief to Postoperative Orthopaedic Patients in the Acute Care Setting

Taylor, Colleen; Sheu, Jiunn‐Jye; Chen, Huey-Shys; Glassman, Tavis; Dake, Joseph A.

doi:10.1097/nor.0000000000000400

Cited by 1 publication

(2 citation statements)

References 14 publications

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“…The study's result interestingly contradicted the results by [20], who argued that increasing the salience of product transformationwhich involved recyclables being transformed into new items-led to the increase in recycling behaviour. Moreover, the results did not match the findings of [32], who examined the IBM factors to check which factor could predict nurses' intentions to deliver "as required" pain relief medications. They found that salience of behaviour was the only significant predictor for the nurses' intentions.…”

Section: Discussionmentioning

confidence: 66%

“…A study conducted by Taylor et al [32] attempted to determine which main IBM factor was able to predict nurses' intentions to provide pain relief medicines that were taken "as needed" (commonly known as PRN) to hospitalised postoperative orthopaedic patients. The research showed that IBM structures were beneficial in predicting intentions towards performing a professional's behaviour.…”

Section: Salience Of Behaviourmentioning

confidence: 99%

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The Potential Determinants for Smartphone Recycling Behaviour Sustainability in UAE

et al. 2022

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Repeated actions and behaviours are characteristic of people’s daily lives. However, there is a dilemma when this repeated action is associated with mobile phone recycling since convincing mobile users to recycle sustainably is challenging. This study analysed the four factors (i.e., actual knowledge, salience, environmental constraints, and habits) adopted from the Integrated Behavioural Model (IBM) theory and examined their impact on behavioural sustainability. A partial least squares structural equation modelling (PLS-SEM) approach was applied to evaluate 601 responses from a self-administered online survey collected from mobile user participants based in the United Arab Emirates (UAE). The survey findings indicated that habit has the strongest and statistically significant positive influence on behaviour; followed by knowledge and skills. Additionally, the salience of behaviour has a considerably negative influence on behaviour sustainability unaffected by environmental constraints. This study serves as a springboard for future research examining the IBM model to understand recycling behaviour in general and smartphone recycling sustainability in particular. Additionally, this research can assist smartphone manufacturers in understanding the factors that will maintain the recycling behaviour continuity, increasing the number of returned devices.

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Section: Discussionmentioning

confidence: 66%

Section: Salience Of Behaviourmentioning

confidence: 99%

The Potential Determinants for Smartphone Recycling Behaviour Sustainability in UAE

et al. 2022

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Predictors of Nurses' Intentions to Administer As-Needed Opioid Analgesics for Pain Relief to Postoperative Orthopaedic Patients in the Acute Care Setting

Abstract: The 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.

Cited by 1 publication

References 14 publications

The Potential Determinants for Smartphone Recycling Behaviour Sustainability in UAE

The Potential Determinants for Smartphone Recycling Behaviour Sustainability in UAE

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