Patients’ and family caregivers’ perceptions of doctor-to-doctor advice and electronic referral notifications in Alberta
Bibliographic record
Abstract
Effective communication between health professionals and patients is essential to patient safety and quality care. Primary care providers seeking specialist advice to manage patients’ conditions in the community has recently been adopted to improve timely access to specialty care and increase the efficacy of the referral process. To understand patients’ and family caregivers’ perceptions on doctor-to-doctor advice for non-urgent clinical questions and electronic referral communications with patients in Alberta, a mixed method online survey was conducted by Alberta Health Services’ Access Improvement team. A total of 1,422 patients and family caregivers living in Alberta were included in the quantitative and qualitative analysis. Although the majority of participants were comfortable with their doctors seeking advice via secure online messaging systems (93%) and over the phone (89%), about half of the participants did not know if their family doctors had ever obtained advice from a specialist to support their care. Their concerns surrounding doctor-to-doctor, non-urgent advice included the security of transferred information, privacy and confidentiality of patient information, misunderstanding of information, and delayed communication. In addition, 63% of participants reported that email was the most convenient way to receive electronic notifications about their referrals. Increasing patients’ and family caregivers’ awareness of advice services in Alberta will help promote person-centered care and improve communication during the referral and consultation process. Our findings also encourage healthcare providers and policymakers to further evaluate key areas for improvement and implement new strategies to promote better patient and provider communications while enhancing timely access to specialty care. Experience Framework This article is associated with the Patient, Family & Community Engagement lens of The Beryl Institute Experience Framework (https://www.theberylinstitute.org/ExperienceFramework). Access other PXJ articles related to this lens. Access other resources related to this lens.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".