Nursing leaders’ perceptions of the impact of the Strengths-Based Nursing and Healthcare Leadership program three months post training
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Development of nursing leadership is necessary to ensure that nurse leaders of the future are well-equipped to tackle the challenges of a burdened healthcare system. In this context, the Strengths-Based Nursing and Healthcare Leadership program was delivered to 121 participants from 5 organizations in Canada in 2021 and 2022. To date, no study used a qualitative approach to explore nursing leaders’ perceptions of a leadership Strengths-Based Nursing and Healthcare Leadership program three months post training. To describe nursing leaders’ perceptions of the impact of the Strengths-Based Nursing and Healthcare Leadership program three months post training. Qualitative descriptive design was used with individual semi-structured interviews. A convenient sample of nurse leaders (n = 20) who had participated in the leadership program were recruited for an individual interview three months post training. The data generated by interviews were analyzed using a method of thematic content analysis. Three themes emerged from the qualitative data analysis related to the leadership program that stayed with participants three months post training: 1) mentorship: a lasting relationship, 2) human connections through Story-sharing, and 3) focus on strengths. Two other themes emerged related to the changes that they have made since attending the program: 1) seeking out different perspectives to work better as a team and 2) create a positive work environment and to show appreciation for their staff. The present study offers evidence of the impact of the Strengths-Based Nursing and Healthcare Leadership program three months post training. This study reinforces the importance of training using a Strengths-Based Nursing and Healthcare Leadership lens when tackling leadership.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it