Developing culturally competent and compassionate healthcare leaders: A European model
Bibliographic record
Abstract
Objective: This paper aims to describe the development of a European model that refers for healthcare leadership. The model promotes the values of cultural competence and compassion.Methods: The development of this model is part of the IENE 4 EU funded project with participating countries: United Kingdom, Spain, Cyprus, Romania, Italy, Denmark, Turkey. Its development is based on a) a needs assessment survey among healthcare leaders in the partner countries (N = 199), b) two round Delphi study with 14 experts and c) a focus group with healthcare leaders after the development of the model.Results: The components of this model include the basic principles, values and skills that a health care leader should have as a role model and a coach of his/her staff in delivering compassionate and culturally competent care. This model was further used within the IENE 4 project, as a tool for creating learning tools, aiming to improve the quality of care within a cultural framework. Fourteen such learning tools were developed and piloted in all partner countries.Conclusions: Health care leaders need to guide, mentor and support their staff and collaborate among them and with patients and families, as to provide quality care within a safe, compassionate and culturally appropriate environment. This model highlights the key principles of culturally competent and compassionate health care leadership.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".