Elucidating strategies used by clinical nurse leaders to facilitate fundamental care delivery: A qualitative study
Bibliographic record
Abstract
AIM: To investigate the strategies used by nurse leaders to facilitate fundamental care delivery in their clinical area. DESIGN: An interpretative qualitative design study reported in line with the Consolidated Criteria for Reporting Qualitative Research (COREQ). METHODS: Twenty-four self-identified nurse leaders from across Australia were interviewed between November 2020 and April 2021 to discuss their strategies for facilitating fundamental care. Data was analysed using inductive thematic analysis. RESULTS: Nurse leaders' experience of facilitating fundamental care produced two major themes, delivery of fundamental care (comprising three sub-themes: valuing fundamental care, understanding and developing staff capacity and supportive relationships), and monitoring of fundamental care (including three sub-themes: visibility in the clinical area, embedding fundamental care in the practice setting and specific direct actions). CONCLUSION: Facilitating fundamental care delivery is complex. This study highlighted the importance of nurse leaders' individual characteristics, and nurse leaders' ability to establish and maintain relationships alongside the role of informal and formal monitoring of fundamental care delivery. IMPACT: Findings from this study build on existing research into fundamental care and contribute to our understanding of the role, characteristics and actions of nurse leaders to facilitate fundamental care. The results demonstrate the complexity and intricacy of nursing leadership to facilitate fundamental care, and that a dynamic 'thinking and linking' approach is required. The results show individualized practice which may create challenges for new nurse leaders seeking guidance, and for monitoring nurse leader activity. Further research is advocated to explore insights and tools to optimize nurse leaders' endeavours in facilitating fundamental care. PATIENT OR PUBLIC CONTRIBUTION: This study was designed using insights generated from patient and public involvement in nursing leadership and fundamental care.
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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 | 0.018 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 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) | 0.002 | 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".