Core competencies and challenges among nurses transitioning into positions of leadership – a Caribbean perspective
Bibliographic record
Abstract
PURPOSE: Nurses are a significant part of the professional workforce, but leaders may be promoted without the requisite competencies. This study aims to explore the perspectives of nurse managers about the core competencies necessary for promotion as leaders in health. DESIGN/METHODOLOGY/APPROACH: = 126) who were promoted in four Caribbean countries over the past five years. A 30-item questionnaire was used for quantitative data collection and analyzed using SPSS version 25. Interviews yielded the qualitative data, which were analyzed using open coding and thematic analysis. Ethical approvals were received from ethics committees at the university and country level. FINDINGS: = 62). Leadership was the most important competency required of nurse leaders in spite of their position within the organization, followed by team building and motivation. Challenges to the transitioning into leadership positions included the prevailing culture and a lack of a systematic approach to building capacity in leadership. There was also between-group statistical significance, as determined by one-way ANOVA for delegation, motivation and leadership as core competencies based on occupations roles. RESEARCH LIMITATIONS/IMPLICATIONS: Notwithstanding the importance of the findings from this research, there were some limitations. While the researchers considered implementing this study in eight Caribbean countries, approvals were received for only four countries. This will affect the ability to generalize the findings to the wider Caribbean countries. One of the strengths of this research was the use of mixed methods for data collection. However, the qualitative component of the findings may be limited by the number of focus groups conducted, notwithstanding the richness of the data collected. PRACTICAL IMPLICATIONS: The findings can be used as a framework from which the health system in developing countries can begin to examine practical solutions to developing 21st century leadership competencies in nursing. While there may be remanence of the colonial past in the way systems function, the complexity of health systems requires leadership that is rooted in competence that is multidimensional. ORIGINALITY/VALUE: This paper provides an important contribution to the literature on leadership and competencies from the perspective of low- to middle-income resource settings. The qualitative component of the research added richness to the nuances and understanding of the phenomenon of competencies for nurse leaders.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 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".