The PaCES (Palliative Care Early and Systematic) Project: Impact of individual components of a multi-faceted intervention on early referral to specialist palliative care.
Bibliographic record
Abstract
199 Background: Early referral to specialist palliative care can improve, or maintain, symptom and quality of life outcomes that matter most to patients facing life-limiting illnesses. We tested a multifaceted oncologist-facing intervention (Palliative Care Early and Systematic) in the real-world setting of a busy outpatient cancer clinic for its ability to increase the proportion of patients who receive early specialist palliative care (defined as ≥ 90 days before death). Herein, we describe how each component of the multi-faceted intervention, intended to bridge cancer, primary, and palliative care, impacted early use of specialist palliative care among advanced colorectal cancer patients. Methods: Two intervention components were implemented in Calgary, Alberta, Canada’s tertiary cancer centre from January 2019 to June 2020: 1) Adult colorectal cancer patients were referred to a community-based Clinical Nurse Specialist if they failed, or could not receive, first-line chemotherapy, or had high symptom burden (indicated by an Edmonton Symptom Assessment System Revised score ≥ 7); 2) Medical oncologists sent templated ‘Shared Care’ letters to patients’ primary care providers to improve communication, collaboration and role clarity. Results: N = 209 eligible patients died during the intervention period, of whom 57% experienced early referral to specialist palliative care. The median days from referral to death was 130 (IQR: 53-359). Of the 209, 28 (13%) saw the Clinical Nurse Specialist and received Shared Care letters, and all (100%) had early specialist palliative care referral (median 240 days, IQR: 161-359). 21/209 (10%) saw the Clinical Nurse Specialist but had no Shared Care letter. Of these 21, 76% had early specialist palliative care referral (median 197 days, IQR: 96-251). 43/209 (21%) had a Shared Care letter but no interaction with the Clinical Nurse Specialist. Of these 43, 53% had early specialist palliative care referral (median 102 days, IQR: 53-257). 117/209 (56%) did not interact with the Clinical Nurse Specialist or have a Shared Care letter. Of these 117, 45% had early specialist palliative care referral (median 86 days, IQR: 40-204). Conclusions: The Clinical Nurse Specialist was associated with the greatest increase in early specialist palliative care referral; however, the Clinical Nurse Specialist and Shared Care letters combined were associated with even greater (100%) early specialist palliative care use.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".