Bridging the gap: monthly telephone calls to enhance collaboration between primary care physicians and psychiatrists
Bibliographic record
Abstract
BACKGROUND: The integration of mental health services within primary care settings is a growing priority in Canada, driven by the need to improve access and ensure comprehensive patient-centred care. This year-long pilot quality improvement (QI) project was conducted to examine the feasibility and impact of introducing monthly telephone consultations between primary care physicians (PCPs) and psychiatrists working at a secondary care regional hospital in Ontario, Canada. METHODS: PCPs were connected with a team of psychiatrists via email on a voluntary basis. Once connected, PCPs were encouraged to contact psychiatrists by text or email to book monthly telephone consultation for patient care. RESULTS: A total of seven PCPs and five psychiatrists participated in this project. A total of 66 patients were discussed via telephone consultations between PCPs and psychiatrists and 11 of these patients were referred to psychiatry for further assessment. The number of referrals to psychiatry O-P service from the seven PCPs involved in this pilot decreased from 83 for the period of November 2021 to October 2022 to 53 for the period of this project, that is, November 2022 to October 2023.There were initial challenges in scheduling consultations due to busy practices. After the first few months of regular monthly contact, three psychiatrists reported fewer ongoing contacts with PCPs and that PCPs email them on an as needed basis. Two psychiatrists continued to have ongoing 4-6 weeks contact with their assigned PCP, discussing on average 3-4 patients, after 1 year.Psychiatrists found the telephone meetings productive and the PCPs were appreciative of the support provided and were willing to take over the primary care of some patients under the care of the psychiatrists, who had medical needs but no PCP. CONCLUSION: This pilot QI project confirms the feasibility and successful collaborations between PCPs and psychiatrists through monthly phone calls.
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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 | 0.018 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".