[Interventions to improve access to health services by indigenous peoples in the Americas].
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Synthesize evidence on effectiveness of interventions designed to improve access to health services by indigenous populations. METHODS: Review of systematic reviews published as of July 2015, selecting and analyzing only studies in the Region of the Americas. The bibliographic search encompassed MEDLINE, Lilacs, SciELO, EMBASE, DARE, HTA, The Cochrane Library, and organization websites. Two independent reviewers selected studies and analyzed their methodological quality. A narrative summary of the results was produced. RESULTS: Twenty-two reviews met the inclusion criteria. All selected studies were conducted in Canada and the United States of America. The majority of the interventions were preventive, to surmount geographical barriers, increase use of effective measures, develop human resources, and improve people's skills or willingness to seek care. Topics included pregnancy, cardiovascular risk factors, diabetes, substance abuse, child development, cancer, mental health, oral health, and injuries. Some interventions showed effectiveness with moderate or high quality studies: educational strategies to prevent depression, interventions to prevent childhood caries, and multicomponent programs to promote use of child safety seats. In general, results for chronic non-communicable diseases were negative or inconsistent. CONCLUSIONS: Interventions do exist that have potential for producing positive effects on access to health services by indigenous populations in the Americas, but available studies are limited to Canada and the U.S. There is a significant research gap on the topic in Latin America and the Caribbean.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it