Developmental Screening Tools Used with First Nations Populations: A Systematic Review
Bibliographic record
Abstract
Developmental surveillance and screening is recommended for all children under five years of age, especially for those from at-risk populations such as First Nations children. No review to date has, however, evaluated the use of developmental screening tools with First Nations children. This review aimed to examine and synthesise the literature on developmental screening tools developed for, or used with, First Nations populations children aged five years or younger. A PRISMA-compliant systematic review was performed in the PsychInfo, PubMed, and Embase databases. Additional searches were also undertaken. In total 444 articles were identified and 13 were included in the final review. Findings indicated that several developmental screening tools have been administered with First Nations children. Most tools, however, have only been evaluated in one study. Results also found that no studies evaluated actions taken following positive screening results. More research evaluating the accuracy, acceptability, and feasibility of using developmental screeners with First Nations children is required before widespread implementation of developmental screening in clinical settings with First Nations children is recommended.
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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 | 0.009 | 0.044 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".