Examining the experiences of Indigenous families seeking health information about caring for sick or injured children: a scoping review
Bibliographic record
Abstract
OBJECTIVE: Mapping literature on Indigenous families' experiences seeking child health information and identifying barriers and facilitators to information access. DESIGN: Scoping review. DATA SOURCES: We searched Medline, EMBASE, PsycINFO, Scopus and CINAHL for peer-reviewed literature and Google Advanced for grey literature. We screened tables of contents of two Indigenous research journals not consistently indexed in online health databases and used snowball sampling to supplement searches. ELIGIBILITY CRITERIA: We included full-text, English-language articles, published from 2000 to the time of the search in April 2021, based on: participants (Indigenous families), concept (experiences of families seeking health information) and context (child health). DATA EXTRACTION AND SYNTHESIS: Two independent reviewers extracted: citation details, study purpose, country of study, publication type, study design, data collection method, Indigenous group, family member participants, home/healthcare setting, child health area, how health information was accessed, and information-seeking barriers and facilitators. Data were examined for patterns and trends, results and implications. RESULTS: Among 19 papers (representing 16 research projects) included, nine described family/friends and 19 described healthcare professionals as sources of child health information. Barriers include racism/discrimination during healthcare visits, ineffective communication with healthcare providers and structural barriers (eg, transportation). Facilitators include easy access, improved communication and relationships with healthcare providers, and culturally safe healthcare. CONCLUSION: Indigenous families perceive they do not have access to necessary child health information, which can lead to insensitive, ineffective and unsafe healthcare. A critical gap exists in understanding Indigenous families' information needs and preferences when making decisions about children's health.
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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 | 0.026 | 0.084 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.026 | 0.021 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".