Implementing a new physiotherapist-led primary care model for low back pain: a qualitative study of patient and primary care team perspectives
Bibliographic record
Abstract
Abstract Background Low back pain (LBP) is one of the most common reasons for primary care visits and is the leading contributor to years lived with disability worldwide. The purpose of this study was to understand the perspectives of patients and primary care team members related to their experiences with a new physiotherapist-led primary care model for LBP. Methods We conducted an interpretive description qualitative study. Data were collected using a combination of semi-structured interviews and focus group discussions and analyzed using thematic analysis. Participants included adults (> 18 years of age) with LBP and primary care team members who participated in a physiotherapist-led primary care model for LBP in Kingston, Ontario, Canada. Results We conducted 18 semi-structured interviews with patients with LBP (10 women; median age of 52) as well as three focus group discussions with a total of 20 primary care team members representing three teams. Four themes (each with sub-themes) were constructed: 1) enhanced primary care delivery for LBP (improved access and engagement in physiotherapy care, improved communication and care integration between the physiotherapist and primary care team, less inappropriate use of healthcare resources); 2) positive patient experiences and perceived outcomes with the new model of care (physiotherapist built therapeutic alliance, physiotherapist provided comprehensive care, improved confidence in managing LBP, decreased impact of pain on daily life); 3) positive primary care team experiences with the new model of care (physiotherapist fit well within the primary care team, physiotherapist provided expertise on LBP for the primary care team, satisfaction in being able to offer a needed service for patients); and 4) challenges implementing the new model of care (challenges with prompt access to physiotherapy care, challenges making the physiotherapist the first contact for LBP, and opportunities to optimize communication between the physiotherapist and primary care team). Conclusions A new physiotherapist-led primary care model for LBP was described by patients and primary care team members as contributing to positive experiences and perceived outcomes for patients, primary care team members, and potentially the health system more broadly. Results suggest that this model of care may be a viable approach to support integrated and guideline adherent management of LBP in primary care settings.
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 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 | 0.018 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".