Exploring the sources of stress among operating theatre nurses in a Ghanaian teaching hospital
Bibliographic record
Abstract
The nursing profession is heavily plagued with occupational stress. The stress nurses encounter in the clinical setting can result in physical, emotional, social and spiritual changes. In the operating theatre, nurses assist surgeons during surgery, observe the overall condition of patients and care for those at risk of developing a critical condition during surgery to prevent any complications from arising. An operating theatre work milieu is problematic in terms of patient safety and is closely associated with elevated stress. This study sought to explore events from outside and within the operating theatres of a teaching hospital in Ghana causing stress in the nurses. A sample of 12 operating theatre nurses was drawn from the Teaching Hospital using a purposive sampling technique. Data was collected using a semi-structured interview guide and the study employed a descriptive qualitative approach. Analysis of data was carried out using thematic content analysis. The study has shown that operating theatre nurses are faced with various stressors from time-to-time and the commonest and the most worrying are those related to their work. The major sources of stress such as work overload, staff shortage, and inadequate equipment and supplies to this group of professionals have been identified. Staff shortage, specifically operating theatre nurses has led to the nurses perceiving their workload as overwhelming. In the operating theatre, nurses assist surgeons during surgery, observe the overall condition of patients and care for those at risk of developing a critical condition during surgery to prevent any complications from arising. These put operating theatre nurses at risk of occupational stress. Therefore, there is the need to help create a more conducive environment for all operating theatre nurses to enhance their performances.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".