Patients’ satisfaction with the care provided by nurse practitioners in primary care settings of a remote region of Canada: A cross-sectional study
Bibliographic record
Abstract
Objective: A cross-sectional correlational design was used to describe patients’ satisfaction with primary healthcare nurse practitioners and identify factors associated with their satisfaction regarding the services received in a remote region of Quebec, Canada.Methods: Patients who received care from eight primary healthcare nurse practitioners were asked to complete a self-administered questionnaire. STROBE checklist was adhered.Results: A total of 574 patients were recruited (participation rate: 76.6%). Patients were very satisfied with the healthcare services received, relationship with the practitioner, information received, duration of the consultation, and the overall consultation (89.6%-93.3%). The only variable associated with a higher likelihood of being very satisfied with the overall consultation was a longer duration of the consultation (adjusted OR: 1.029; CI: 1.005-1.054; p = .018).Conclusions: The high level of patients’ satisfaction and trust with healthcare nurse practitioners is a potential contributing factor to past and future success of their integration in primary healthcare services.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".