Exploring clinician perceptions of a care pathway for the management of shoulder pain: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Clinical care pathways may be useful tools to improve the quality of healthcare by facilitating the translation of evidence into practice. Our study is situated within a larger project, whereby end-users co-developed a care pathway for the management of shoulder pain. In this study, we explored end-user perceptions of the usefulness and practicality of implementing a care pathway to manage shoulder pain. We also solicited feedback for the pathway's improvement. METHODS: We conducted a qualitative study using a transcendental phenomenological approach seen through a constructivist lens. Clinicians recorded themselves interacting with the care pathway while working through a clinical case. Clinicians described their thoughts and movements aloud as they completed the activity. Second, we conducted individual semi-structured interviews to discuss the usefulness and practicality of pathway implementation. Interview transcripts were coded independently by reviewers. Transcript codes and associated quotes were grouped into themes. Themes were sequenced and linked creating a 'web' of thematic connections. Summary statements were developed to synthesize the overall essence of the phenomena. RESULTS: Nine clinicians participated. Participants included eight chiropractors and one medical physician. We found that clinicians believed the care pathway could be useful at various levels, including education (students, interns), for early career clinicians, for engaging patients, facilitating interprofessional communication, and as a reminder of information for certain, less familiar conditions. When discussing the practicality of implementing the care pathway into practice settings, clinicians expressed that agreement with the care pathway and its recommendations may influence its acceptability among clinicians. Additionally, integrating recommendations into practice may be a skill requirement included into clinical training. Clinicians described the importance of opinion leaders in the acceptability of new evidence. Various difficulties with the replicability of interventions into clinical care was also discussed. In general, clinicians suggested the layout of the care pathway was manageable, and there was sufficient information for clinical decision-making. Clinicians also made several recommendations for improvement. CONCLUSIONS: End-user involvement and collaboration provides tangible instruction to improve care pathways themselves, their implementation strategies and helps to support and strengthen future research for overcoming individual, systemic and contextual barriers.
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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 | 0.026 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".