Enhancing Cultural Competence for Improved Access to Quality Care
Bibliographic record
Abstract
The Hospital for Sick Children (SickKids) is situated in one of the most diverse cities in the world. This is reflected in the patient population it serves. In 2009, the hospital embarked on a quality improvement initiative to address the existing evidence base on health disparities and to enhance health equity through cultural competence programming. The goal was to achieve optimal health outcomes for all patients and families, with a particular focus on new immigrant and other vulnerable populations. Evaluation results indicate changes in clinical practice as a result of this initiative and increased patient satisfaction with regard to staff members' level of cultural sensitivity. This article provides an overview of this hospital-wide initiative, as well as the evaluation methods and outcomes. Based on a needs assessment, we developed an institutionally meaningful curriculum with SickKids' values of family-centred care, patient safety and service excellence embedded in the program. Educational sessions were delivered to clinical and non-clinical hospital staff, focusing on health disparities, the case for culturally competent care and practical tools for healthcare practitioners. Organizational change strategies, including the use of champions as change agents and role models, were used to embed cultural competence as integral to family-centred care at SickKids.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".