Assessing attitudes of patient-centred care among students in international chiropractic educational programs: a cross-sectional survey
Bibliographic record
Abstract
Background: Patient-centred care is internationally recognized as a foundation of quality patient care. Attitudes of students towards patient-centred care have been assessed in various health professions. However, little is known how chiropractic students' attitudes towards patient-centred care compare to those of other health professions or whether they vary internationally, and between academic programs. Objective: To assess the association of select variables on student attitude towards patient-centred care among select chiropractic programs worldwide. Methods: We conducted a cross-sectional study using the Patient-Practitioner Orientation Scale (PPOS) to assess students' patient-centred attitudes towards the doctor-patient relationship. Eighteen items were scored on a 1 to 6 Likert scale; higher scores indicating more patient-centredness. All students from seven chiropractic educational programs worldwide were invited to complete an online survey. Results were analyzed descriptively and inferentially for overall, sharing and caring subscales. General linear regression models were used to assess the association of various factors with PPOS scores. Results: There were 1858 respondents (48.9% response rate). Student average age was 24.7 (range = 17-58) years and 56.2% were female. The average overall PPOS score was 4.18 (SD = 0.48) and average sharing and caring subscale scores were 3.89 (SD = 0.64) and 4.48 (SD = 0.52), respectively. There were small but significant differences in all PPOS scores by gender, age, and program. Year/semester of study within a program typically was not associated with scores, neither was history of previous chiropractic care nor having family members who are health professionals. Conclusion: This is the first international study assessing students' attitudes of patient-centred care in chiropractic educational programs. We found small but significantly different PPOS scores between chiropractic programs worldwide that did not change across year/semester of study. Scores tended to be lower than those reported among medical students. Observed differences may be related to curricular content, extent of patient exposure and/or regional cultural realities.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".