Evaluating transformative health leadership education for Indigenous health: a mixed methods study
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
BACKGROUND: There is an urgent need to improve structural competency and anti-racism education across health systems. Many leaders in health systems have the ability and responsibility to play a significant role in policy change and transforming healthcare delivery to address health inequities and injustices. The aim of this project was to evaluate a new health leadership Indigenous health course: PLUS4I. METHODS: A mixed methods design grounded in a pragmatic paradigm was used. Attendees to the first four cohorts (n=75) were sent an invitation to complete a survey evaluating their learning immediately after the completion of PLUS4I. We retrospectively collected self-efficacy ratings from participants who were also invited to participate in a semi-structured interview about their experience in PLUS4I. Descriptive statistical analysis was conducted for the quantitative assessment of the survey data. A qualitative descriptive approach to thematic analysis was used for the qualitative interview data. RESULTS: A total of 45 completed quantitative evaluations (n=45) were completed across all four cohorts. Paired t-tests were used to show pre-changes and post-changes in self-reported confidence on a 6-point Likert scale across four categories of activities. Improvements were seen in the ratings across all categories of activities, and all were statistically significant (p<0.001). Two overarching themes emerged from the qualitative analysis: breaking down previous knowledge and critical applications; building new knowledge and change-making competencies. The qualitative interviews (n=25) averaged 32:23 min, with 18 female (72%) and 7 male (28%) interview participants. CONCLUSION: Future work will support expansion of the PLUS4I course into other work environments and faculties, where the learning environment, structure and relevant Truth and Reconciliation Calls to Action may be different. This work responds to the urgent need to create systems-level change to address structural racism and implement high-quality Indigenous health and anti-racism education.
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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 | 0.019 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.011 | 0.000 |
| 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