Shades of care: Understanding the needs of racially and ethnically diverse paediatric patients, their families, and health care providers in North America
Bibliographic record
Abstract
While race and ethnicity have been acknowledged as determinants of health, there remain gaps regarding their effects on experiences of paediatric care. This scoping review examines empirical literature regarding the state and experience of paediatric care provided to racially and ethnically diverse families in North America. We seek to clarify the needs of care administrators and recipients, as well as to conceptualize what paediatric care must look like to enable equitable practices and optimal health outcomes. Utilizing Arksey and O'Malley's framework, we reviewed literature published between 2005 and 2020, most of which was written within an American context. The literature reviewed featured quantitative, qualitative and mixed methods studies. Paediatric care administrators and recipients collectively identified the following as domains requiring an increased focus: (1) knowledge (awareness or training), (2) alignment of views and values, (3) resources and (4) communication. Findings suggest overall that despite there being merit in the cultural competency efforts underway, more patient-centric approaches are vital. This review concludes by encouraging the sustained development of cultural safety initiatives in paediatric care to ultimately promote patient comfort and provider-patient collaboration.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".