The Application of Health Leadership Competencies Around the World to the Canadian Midwifery Profession: A Scoping Review
Bibliographic record
Abstract
Objectives: To review and map the key leadership competencies and frameworks created by health care professionals and health leaders across the globe. To use the themes that emerge to create a new leadership framework for Canadian midwifery. Background: Effective leadership has a significant impact on health care outcomes. In an effort to describe effective leadership, many health professions and organizations are creating lists of competencies within leadership frameworks. Midwifery is a relatively young profession in Canada. To date there has been no published Canadian work on leadership or leadership frameworks. Midwifery has a vital role to play within health care but needs to grow in leadership knowledge and capacity. Methods: A scoping review was conducted using both a published literature search and a grey literature search. The published literature search was conducted using CINAHL and OVID, while the grey literature search included an online review of the websites of major health professions in Canada, the UK, the US, Ireland, Australia, and New Zealand. Results: Twenty-three articles met the inclusion criteria. Within the articles were 582 key competencies, organized into 133 separate themes. Thematic analysis of the competencies results in competencies falling into five major themes of leadership: self, patient/client care, team, organization, and health systems. Conclusion: A new framework was created using the emerging themes found in the scoping review: Leading Self, Leading the Team, Leading Client Care, Leading the Organization, and Leading Health Systems. This new framework was applied to the Canadian midwifery profession, using core midwifery documents. This scoping review can be used by Canadian midwifery organizations looking to create a leadership framework and by university midwifery programs as they look to incorporate leadership competencies into their curriculum. This article has been peer reviewed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.084 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.007 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".