Study protocol on advance care planning in multiple sclerosis (ConCure-SM): intervention construction and multicentre feasibility trial
Bibliographic record
Abstract
INTRODUCTION: Multiple sclerosis (MS) is the most common cause of progressive neurological disability in young adults. The use of advance care planning (ACP) for people with progressive MS (pwPMS) remains limited. The ConCure-SM project aims to assess the effectiveness of a structured ACP intervention for pwPMS. The intervention consists of a training programme on ACP for healthcare professionals caring for pwPMS, and a booklet to be used during the ACP conversation. Herein, we describe the first two project phases. METHODS: In phase 1 we translated and adapted, to the Italian legislation and MS context, the ACP booklet of the National ACP Programme for New Zealand. Acceptability, comprehensibility and usefulness of the booklet were assessed via 13 personal cognitive interviews with pwPMS and significant others (SOs), and one health professional focus group. Based on these findings, we will revise the booklet. In phase 2 we will conduct a single-arm pilot/feasibility trial with nested qualitative study. Participants will be 40 pwPMS, their SOs, health professionals from six MS and rehabilitation centres in Italy. In the 6 months following the ACP conversation, we will assess completion of an advance care plan document (primary outcome), as well as safety of the intervention. Secondary outcomes will be a range of measures to capture the full process of ACP; patient-carer congruence in treatment preferences; quality of patient-clinician communication and caregiver burden. A qualitative process evaluation will help understand the factors likely to influence future implementation and scalability of the intervention. ETHICS AND DISSEMINATION: The project is coleaded by a neurologist and a bioethicist. Phase 1 has received ethical approvals from each participating centre, while phase 2 will be submitted to the centres in May 2021. Findings from both phases will be disseminated widely through peer-reviewed publications, conferences and workshops. TRIAL REGISTRATION NUMBER: ISRCTN48527663; Pre-results.
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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 | 0.053 | 0.053 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.114 | 0.024 |
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".