Qualitative descriptive study to explore nurses’ perceptions and experience on pain, agitation and delirium management in a community intensive care unit
Bibliographic record
Abstract
OBJECTIVES: The purpose of this study was to explore the experiences, beliefs and perceptions of intensive care unit (ICU) nurses on the management of pain, agitation and delirium (PAD) in critically ill patients. DESIGN: A qualitative descriptive study. SETTING: This study took place in a community hospital ICU located in a medium size Canadian city. PARTICIPANTS: Purposeful sampling was conducted. Participants included full-time nurses working in the ICU. Forty-six ICU nurses participated. METHODS: A total of five focus group sessions were held to collect data. There were one to three separate groups in each focus group session, with no more than seven participants in each group. There were 10 separate groups in total. A semistructured question guide was used. Thematic analysis method was adopted to analyse the data, and to search for emergent themes and patterns. RESULTS: Three main themes emerged: (1) the professional perspectives on patient wakefulness state, (2) the professional perspectives on PAD management of critically ill patients and (3) the factors impacting PAD management. Nurses have different opinions on the optimal level of patient sedation and felt that many factors, including environmental, healthcare teams, patients and family members, can influence PAD management. This potentially leads to inconsistent PAD management in critically ill patients. The nurses also believed that PAD management requires a multidisciplinary approach including healthcare teams and patients' families. CONCLUSIONS: Many external and internal factors contribute to the complexity of PAD management including the attitudes of nursing staff towards PAD. The themes emerged from this study suggested the need of a multifaceted and multidisciplinary quality improvement programme to optimise the management of PAD in the ICU.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".