Paper 1: introduction to the series
Bibliographic record
Abstract
OBJECTIVES: Systematic reviews hold immense promise as tools to highlight evidence-based practices that can reduce or aim to eliminate racial health disparities. Currently, consensus on centering racial health equity in systematic reviews and other evidence synthesis products is lacking. Centering racial health equity implies concentrating or focusing attention on health equity in ways that bring attention to the perspectives or needs of groups that are typically marginalized. STUDY DESIGN AND SETTING: This Cochrane US Network team and colleagues, with the guidance of a steering committee, sought to understand the views of varied interest holders through semistructured interviews and conducted evidence syntheses addressing (1) definitions of racial health equity, (2) logic models and frameworks to centering racial health equity, (3) interventions to reduce racial health inequities, and (4) interest holder engagement in evidence syntheses. Our methods and teams include a primarily American and Canadian lens; however, findings and insights derived from this work are applicable to any region in which racial or ethnic discrimination and disparities in care due to structural causes exist. RESULTS: In this series, we explain why centering racial health equity matters and what gaps exist and may need to be prioritized. The interviews and systematic reviews identified numerous gaps to address racial health equity that require changes not merely to evidence synthesis practices but also to the underlying evidence ecosystem. These changes include increasing representation, establishing foundational guidance (on definitions and causal mechanisms and models, building a substantive evidence base on racial health equity, strengthening methods guidance, disseminating and implementing results, and sustaining new practices). CONCLUSION: Centering racial health equity requires consensus on the part of key interest holders. As part of the next steps in building consensus, the manifold gaps identified by this series of papers need to be prioritized. Given the resource constraints, changes in norms around systematic reviews are most likely to occur when evidence-based standards for success are clearly established and the benefits of centering racial health equity are apparent. PLAIN LANGUAGE SUMMARY: Racial categories are not based on biology, but racism has negative biological effects. People from racial or ethnic minority groups have often been left out of research and ignored in systematic reviews. Systematic reviews often help clinicians and policymakers with evidence-based decisions. Centering racial health equity in systematic reviews will help clinicians and policymakers to improve outcomes for people from racial or ethnic minority groups. We conducted interviews and a series of four systematic reviews on definitions, logic models and frameworks, methods, interventions, and interest-holder engagement in syntheses. We found that much work remains to be done in centering racial health equity in systematic reviews. Specifically, systematic reviewers need to change who is represented on their teams, establish foundational guidance (on definitions and causal mechanisms and models, identify what interventions work to address racial health equity, strengthen method guidance, disseminate and implement results, and sustain new practices).
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Editorial About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
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 | 0.012 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".