Nurses knowledge and attitudes to individuals who self-harm: A quantitative exploration
Bibliographic record
Abstract
Objective: Self-injury can be described as the deliberate destruction of the body without the intent to die, and is a distinct clinical presentation needing to be assessed separately from suicide and para-suicide. Nurses attitude to self-injury is a largely unexplored area particularly within Australia. The aim of this paper is to explore Australian general and mental health nurses’ attitudes towards self-injury taking into account their preparation as registered nurses (RNs) or enrolled nurses (ENs) and length of experience.Methods: This was a mixed methods exploratory design study. Phase one used a combination of two established surveys, the Self-Harm Antipathy Scale (SHAS) and the Attitudes Towards Deliberate Self-Harm Questionnaire (ATDSHQ). Nurses who were either RNs or ENs, mental health educated (MHE) or not, working in the area of mental health or emergency departments (ED) were recruited through a number of professional nursing organisations. A total of 172 nurses completed the phase one online questionnaire. The results of this survey are reported in this paper.Results: The key findings indicated a significant relationship between years of mental health nursing experience and mental health nursing qualification. A significant difference was noted in the knowledge level of self-injury between the mental health nurses who had a greater knowledge compared to those who were not mental health educated. Lastly, the attitudes of nurses to self-injury were generally found to be positive.Conclusions: These results extend much of what is in the literature on knowledge, attitudes and beliefs of nurses to non-suicidal self-injury (NSSI) and place these results in an Australian context. Further research to assess the effectiveness of increased education and community engagement should be undertaken.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".