Mâmawihitowin (bringing the camps together): Perinatal healthcare provider and staff participation in an Indigenous-led experiential intervention for enhancing culturally informed care—a mixed methods study
Bibliographic record
Abstract
Abstract Background In partnership with a Nehiyawak (Plains Cree) community of Maskwacîs,central Alberta (Canada), we implemented an Indigenous-led intervention to provide experiential learning opportunities for perinatal health care providers (HCPs) and staff. Our objective was to capture the impact of participating in cultural safety learning opportunities on perceived self-awareness for HCPs and staff to provide enhanced culturally informed care. Methods Perinatal HCPs and staff who work regularly with Indigenous women from our partnering community took part in a series of experiential learning activities designed by a Community Advisory Committee. We used an explanatory sequential mixed methods approach informed by community-based participatory research. We compared Cultural Intelligence Scale (CQS) and Maskwacîs-Specific Cultural Scale (MSCS) scores pre- and post-intervention using non-parametrical statistical analysis (Wilcoxon signed rank test). Post-intervention, we conducted a qualitative description study using semi-structured interviews. Qualitative data was analyzed using thematic analysis. Results A total of 17 participants completed pre- and post-intervention questionnaires. Responses indicated a shift in perceived cultural and community knowledge and comfort levels, with positive gains in overall mean scores for both the CQS (p = 0.01) and MSCS (p = 0.01). Nine participants completed qualitative interviews. Overall, participants felt better equipped to provide more culturally informed care to their patients post-intervention. Conclusion An Indigenous-led experiential learning intervention was effective in enhancing overall perceived cultural awareness and preparedness to provide culturally informed care for perinatal HCPs and staff. This study provides evidence for fostering relationships between Indigenous communities and health systems toward enhanced perinatal care.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".