Exploring the awareness of research among registered massage therapists in Ontario
Bibliographic record
Abstract
BACKGROUND: An increase in available research has highlighted that knowledge changes over time as theories are challenged and adjusted or dismissed. This is particularly important to healthcare practitioners, including massage therapists, who need to frequently review current research and adjust practice accordingly. However, when research findings related to practice are generated, there is considerable delay in implementation. Few studies measure actual knowledge of current evidence for practice. The objectives of the study reported here were to (a) describe current awareness of evidence for practice among registered massage therapists (RMTs) in Ontario and (b) identify the sources of information RMTs use to inform their awareness of current evidence and the reported importance and frequency of use for each source. METHODS: An online questionnaire-based mixed-methods cross-sectional study was conducted. Ontario RMTs were invited to participate. This report focuses on the quantitative analysis. RESULTS: In total, 1,762 questionnaires were included. Of seven sources of information provided, respondents rated cumulative professional experience as most important, followed by recent research studies and education. Cumulative professional experience also rated as most frequently used, followed by other RMTs and education. CONCLUSIONS: There was a tendency for respondents to agree with positive statements about MT, or disagree with negative statements, regardless of correctness. The results suggest that RMTs need to improve their awareness of the current evidence for practice. Furthermore, cumulative professional experience was ranked most frequently used. This has the potential to not include the most current research. Improving communication of research findings to RMTs might improve awareness.
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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 | 0.008 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".