An Evaluation of Musculoskeletal Interventional Ultrasound Training in Canadian Physical Medicine and Rehabilitation Residency Programs
Bibliographic record
Abstract
BACKGROUND: Ultrasound is a rapidly evolving field of medicine with strong utility in musculoskeletal practices. In Canadian physical medicine and rehabilitation (PM&R) residency programs there are no national standards for objectives of training in this area. This possible disconnection between demand and availability could lead to gaps in education. OBJECTIVE: (1) To determine the current state of interventional musculoskeletal ultrasound (MSUS) training in Canadian PM&R residency programs, as perceived by both residents and program directors; (2) to evaluate the perspectives of experts in the field on current and future MSUS curriculum inclusion. DESIGN: This study was a cross-sectional cohort study using an explanatory sequential mixed methods design. SETTING: This project included anonymous online surveys and targeted telephone/in-person semistructured interviews. PARTICIPANTS: Participants were Canadian PM&R residents or clinicians. Survey responses included 71 residents and nine program directors. Interviews were conducted with nine MSUS experts. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Outcome measures included residents' level of interest, amount of exposure, and barriers to training. Themes regarding resident exposure and future directions for MSUS training were obtained based on expert interviews. RESULTS: The vast majority (97%) of current PM&R residents are interested in using ultrasound clinically, with 73% reporting having had "none" to "limited exposure" in MSUS. Expert interviews revealed four major themes: (1) appropriate training is dependent on access, (2) MSUS represents an emerging standard of care, (3) a minimal baseline level of competence should be expected, and (4) various strategies may be used to integrate basic MSUS into existing residency curriculums. CONCLUSIONS: The use of ultrasound as a clinical tool is rapidly increasing. Current PM&R residents have a desire to incorporate this skill into their future practices. Although barriers exist to implementing this training on a national level, the future looks promising with multiple strategies outlined to assist the process.
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.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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, 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".