Implementation and evaluation of a navigation program for people with cancer in old age and their family caregivers: study protocol for the EU NAVIGATE International Pragmatic Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Cancer navigation programs aim to support, educate, and empower patients and families, addressing barriers to diagnostics, treatment, and care. Navigators engage with people to ensure timely access to services and resources. While promising for older people with cancer, these programs are scarce in Europe, and research on their effectiveness and implementation is limited. We describe the protocol of the EU NAVIGATE randomized controlled trial, aimed to evaluate (1) effectiveness and cost-effectiveness of NavCare-EU, an intervention that aims to support older people with cancer throughout their illness trajectory, spanning the continuum of supportive, palliative, and end-of-life care, and (2) the intervention's implementation processes and feasibility of its integration into different health care systems in Europe, contextual barriers and facilitators for effective and sustainable implementation, and mechanisms involved in reaching the outcomes. METHODS: We will conduct a multisite pragmatic fast-track randomized controlled trial with embedded convergent mixed-method process evaluation in Belgium, Ireland, Italy, Netherlands, Poland, and Portugal. The study targets people with cancer and declining health, 70 years or older, and their close family caregivers. The trial compares the NavCare-EU intervention plus standard care with standard care alone. We will perform a baseline measurement prior to randomization and follow-up measurements at 12 weeks, 24 weeks, and 48 weeks in intervention and control group, and an additional measurement at 72 weeks in the control group. Primary outcomes, measured at 24 weeks are (1) the older person's global health status/quality of life, a 2-item subscale from EORTC-QLQ-C30 (revised) measuring health-related quality of life, (2) level of social support measured with Medical Outcomes Study Social Support Survey (MOS-SSS scale). The study will include at least 246 older persons with completed global health status/quality of life at 24 weeks. DISCUSSION: The EU NAVIGATE trial will cross-nationally test the effectiveness and cost-effectiveness of a navigation intervention for older people with cancer and their family caregivers, and its implementation in different health care systems in Europe. As continuity and access to health, social, and community care is a priority for patients and caregivers, the trial is timely and critically needed. TRIAL REGISTRATION: Clinicaltrials.gov: identifier NCT06110312 (2023/10/31).
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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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".