The Role of Attitudes, Subjective Norms, Percieved Behavioural Control and Context in Nurses's Behavioural Intentions
Bibliographic record
Abstract
Background: Hospitalization is stressful, and anxiety is a common experience among hospital inpatients. Nurses who use a standardized patient anxiety assessment tool can improve their recognition of patient anxiety and its management. Implementing evidence-informed practice changes among nurses is a challenge, and there is little compelling evidence on how best to proceed with such implementations. Two theoretical frameworks that have shown promise for designing effective interventions among nurses are the Theory of Planned Behaviour (TPB), which focuses on individual determinants of behaviour, and Promoting Action on Research in Health Services (PARiHS), which focuses on the nature of the evidence, the context in which change is to take place, and the type of facilitation used to induce change. The current study attempts to fill a gap in our understanding of the relationship between the context of practice and nurses’ intention to adopt evidence-informed practices. Objective: The purpose of this study was to investigate whether adding context among those variables derived from the TPB enhances prediction of nurses’ behavioural intentions to adopt an evidence-informed practice change. Methods: Following an educational intervention aimed at teaching nurses the use of a tool for assessing patient anxiety, 174 participants (70% of those attending the educational classes) completed a survey measuring (1) attitude, ( 2) subjective norm, (3) perceived behavioural control, (4) context, and (5) intention to perform anxiety assessments. Results: Intention to perform anxiety assessments on patients was greater for nurses who (a) perceived that they had control over performing anxiety assessments, (b) had a positive attitude toward providing such assessments, and (c) perceived their work context to be positive. Conclusion: This study adds to our understanding of the variables influencing nurses’ adoption of evidence-informed practices. Context, defined in terms of leadership, culture, and evaluation, appears to influence individual adoption of evidence-based practices. These results suggest that the success of attempts to encourage health professionals to adopt evidence-based practices will be enhanced when contextual variables important to the success of the change intervention are put into place. Future research can build on the current study by seeking to replicate the findings reported here and expanding the list of contextual variables investigated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".