The PaCES Study: Cost effectiveness of an early palliative care intervention in patients with advanced colorectal cancer.
Bibliographic record
Abstract
20 Background: An early palliative care (PC) pragmatic trial conducted in outpatient cancer clinics for patients living with advanced colorectal cancer (CRC), led to a 17% increase in early referrals (more than 3 months before death). This study evaluates the cost effectiveness of this trial. A lack of timely palliative care is associated with poorer quality of life, poorer symptom control and fewer days spent at home. Improving on this time toxicity is an important part of early palliative care. Methods: This pragmatic controlled before-and-after study was performed in 18 outpatient cancer clinics in two tertiary cancer centers in neighboring metropolitan cities. Baseline phase was from April 2017 to December 2018 with intervention phase only occurring in 1 of the cities, from April 2019 to December 2020. Intervention consisted of systematically screening patients for unmet PC needs, adding a community-based PC nurse specialist and templated ‘shared care’ letters sent from oncologists to primary care providers. Effectiveness was defined as the number of days spent at home in the last 90 days of life, by subtracting days in hospital, residential hospice, emergency department and clinic. A healthcare system perspective was used to calculate total costs in all sectors including hospital, cancer care, home care, palliative care and physician visits. Healthcare outcomes and costs were analysed using a difference-in-differences (DID) method, while accounting for geographic variations and other covariates. Results: A total of 695 decedents were included. There was a 15% decrease in hospital stay and 18% decrease in chemotherapy days in last 90 days of life. The intervention was cost dominant with an overall DID increase of 2.3 community days with an average cost reduction of C$1,942.17 per patient day in the community. Adjusted analysis showed that this difference was not statistically significant. A non-parametric random resampling of the population with 1,000 reiterations (bootstrapping) showed that the likelihood of the program remaining dominant was 69%. The biggest cost contributors were inpatient acute care (53.6%) and residential hospice (33.6%). Conclusions: Integrating early palliative care services into the care of CRC patients’ shows potential for cost savings and more days spent in the community in the last 90 days of life. Measuring time toxicity is a potentially important outcome in early palliative care trials while examining impact on cost.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".