Comparison of patients’ perceptions of family physicians’ patient-centeredness between virtual and in-person clinical encounters: A cross-sectional study
Bibliographic record
Abstract
Introduction: A clinician's patient-centeredness is a core construct of quality healthcare and is associated with several positive patient outcomes. This study aimed to compare patient-perceived patient centeredness between in-person and virtual clinical encounters during the coronavirus pandemic. Materials and Methods: Participants completed an online anonymous questionnaire pertaining to a recent clinical encounter. Patients of an academic family medicine teaching clinic scheduled for either an in-person or a virtual clinical encounter were recruited by phone over a two-month period. Using the patient-centered clinical method as a conceptual framework, patient-perceived patient centeredness was measured by the Patient-Perceived Patient-Centeredness Questionnaire-Revised (PPPC-R), consisting of 18 items that reflect three factors (healthcare process, context and relationship, and roles). Results: The sample consisted of 72 participants. There was no difference in the PPPC-R scores between participants who received in-person and those who received virtual care. However, the mean ranks for the PPPC-R total score and for all three factors were higher for participants who saw a family physician compared to participants who saw a family medicine learner. Conclusion: Family physicians provided similar quality healthcare, measured through a patient-perceived patient-centeredness lens, via both virtual and in-person appointments. These results support sustaining virtual care when deemed appropriate by both patient and clinician.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".