Perceived importance and interest in research by Chilean primary care providers
Bibliographic record
Abstract
BACKGROUND: Primary care providers (PCPs) are relevant stakeholders for primary care research (PCR). OBJECTIVE: We report the perceived importance and interest in PCR of a national sample of Chilean PCPs. METHODS: We conducted a cross-sectional study targeting Chilean PCPs. An electronic survey assessing perceived relevance of PCR, research training and experience, training interests, and demographics was disseminated through emails and WhatsApp messages. Descriptive statistics were used to summarize data. Logistic regression models were used to estimate adjusted probabilities and 95% confidence intervals for high interest in PCR, high interest in using research methods, and high interest in receiving research training, and predictors of these outcomes. RESULTS: A total of 387 providers completed the online survey. Only 26.4% of PCPs had research experience as a principal or co-investigator. However, most clinicians perceived PCR as very important (92.5%) and were interested in using research methods (90.7%) and receiving training (94.3%). There were no statistically significant differences in these perceptions between provider's discipline, role, sex, age, and geographical location after adjusting for covariates. CONCLUSIONS: Despite few Chilean PCPs have research training, a large majority perceive it as important, are interested in using it in their practice and would like to receive training.
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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 | 0.007 | 0.007 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".