SCORE: Shared care of Colorectal cancer survivors: protocol for a randomised controlled trial
Bibliographic record
Abstract
BACKGROUND: Colorectal cancer (CRC) is the most common cancer affecting both men and women. Survivors of CRC often experience various physical and psychological effects arising from CRC and its treatment. These effects may last for many years and adversely affect QoL, and they may not be adequately addressed by standard specialist-based follow-up. Optimal management of these effects should harness the expertise of both primary care and specialist care. Shared models of care (involving both the patient's primary care physician [PCP] and specialist) have the potential to better support survivors and enhance health system efficiency. METHODS/DESIGN: SCORE (Shared care of Colorectal cancer survivors) is a multisite randomised controlled trial designed to optimise and operationalise a shared care model for survivors of CRC, to evaluate the acceptability of the intervention and study processes, and to collect preliminary data regarding the effects of shared care compared with usual care on a range of patient-reported outcomes. The primary outcome is QoL measured using the European Organisation for Research and Treatment of Cancer QLQ-C30 questionnaire. Secondary outcomes are satisfaction with care, unmet needs, continuity of care and health resource use. The shared care model involves replacement of two routine specialist follow-up visits with PCP visits, as well as the provision of a tailored survivorship care plan and a survivorship booklet and DVD for CRC survivors. All consenting patients will be randomised 1:1 to either shared care or usual care and will complete questionnaires at three time points over a 12-month period (baseline and at 6 and 12 months). Health care resource use data will also be collected and used to evaluate costs. DISCUSSION: The evaluation and implementation of models of care that are responsive to the holistic needs of cancer survivors while reducing the burden on acute care settings is an international priority. Shared care between specialists and PCPs has the potential to enhance patient care and outcomes for CRC survivors while offering improvements in health care resource efficiency. If the findings of the present study show that the shared care intervention is acceptable and feasible for CRC survivors, the intervention may be readily expanded to other groups of cancer survivors. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry, ACTRN12617000004369p . Registered on 3 January 2017; protocol version 4 approved 24 February 2017.
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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 | 0.044 | 0.048 |
| Meta-epidemiology (narrow) | 0.009 | 0.004 |
| Meta-epidemiology (broad) | 0.015 | 0.007 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.110 | 0.018 |
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".