Self-efficacy of Filipino Physicians Towards Research and Research Utilization: A Single-Center Quantitative Descriptive Survey
Bibliographic record
Abstract
Research Question: What is the current status of self-efficacy beliefs towards research and research utilization (RU) of University of Santo Tomas Faculty of Medicine and Surgery (UST-FMS) graduates who had Clinical Epidemiology in their basic medical education curriculum? Significance of the Study: There is an increase in research and RU trends globally as adherence to practice based on evidence results in improved patient outcomes. Limited studies are available in describing research and RU of Filipino physicians and there is no study available specific for UST-FMS graduates. Objectives: The study aims to describe self-efficacy beliefs towards research and RU of UST-FMS graduates’ batches 2012-2016 who had Clinical Epidemiology in their basic medical education. Study Design: A single-center, quantitative descriptive survey design was used. Methodology: Participants were graduates of UST-FMS batches 2012-2016, currently working at the University of Santo Tomas Hospital. Evidence-based Practice Confidence Scale (EPIC scale) and Edmonton Research Orientation Survey (EROS) were used to assess the research and RU of the participants gathered through snowball sampling. Statistical Analysis: Descriptive statistics such as means and standard deviations were used to analyze the EPIC and EROS scores. Results: The UST-FMS graduates value research and are generally confident in their ability to participate in evidence-based medicine. However, they rarely conduct research and have a low understanding of statistics. Conclusion: The self-efficacy beliefs of UST-FMS graduates towards research and RU may be attributed to several factors. Clinical epidemiology as a subject may be improved by adding more lectures on statistics while hospitals should create avenues to support the conduct of research. Keywords: self-efficacy belief, research and research utilization, Clinical Epidemiology, medical education curriculum
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".