Acceptability of physiotherapists as primary care practitioners and advanced practice physiotherapists for care of patients with musculoskeletal disorders: a survey of a university community within the province of Quebec
Bibliographic record
Abstract
BACKGROUND: Musculoskeletal (MSK) disorders represent a great burden on the health care system. The use of physiotherapists in their autonomous roles and in advanced practice roles may help increase access to care. Thus, the aim of this survey was to assess the perceptions of a university community sample within the province of Quebec about physiotherapists as primary care practitioners and advanced practice physiotherapists (APPs) for the treatment of patients with musculoskeletal disorders. METHODS: An electronic survey was sent in February 2014 via a web platform to members of the Laval University community (Québec City, Canada). The survey included questions about knowledge and perceptions on current physiotherapists' autonomous role in primary care and on APP future model of care for patients with MSK disorders. Survey results were synthetized with descriptive statistics. Differences in responses according to demographics, personal characteristics and previous physiotherapy care experience were evaluated using Chi-Square tests. RESULTS: A total of 513 participants completed the online survey (1 % response rate). The majority of respondents were women (74 %) and aged 18 to 24 (39 % of all respondent). About 90 % of respondents believed that physiotherapists were skilled and competent and 91 % answered that they had trust in physiotherapists for the treatment of MSK disorders in primary care. A total of 90 % of respondents supported the idea of introducing APPs for the treatment of patients with MSK disorders. Over 90 % of respondents were in favour of the delegation of medical acts such as: communicating a medical diagnosis, ordering imaging tests, triaging surgical candidates or prescribing medication such as NSAIDS. CONCLUSIONS: Respondents are satisfied and have confidence in physiotherapists as primary care practitioners; they also support the intended new roles of the APPs in the health care system. Caution should be taken in generalizing these results from this particular sample. These results need to be corroborated in the general population.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".