Evaluating holistic needs assessment in outpatient cancer care—a randomised controlled trial: the study protocol
Bibliographic record
Abstract
INTRODUCTION: People living with and beyond cancer are vulnerable to a number of physical, functional and psychological issues. Undertaking a holistic needs assessment (HNA) is one way to support a structured discussion of patients' needs within a clinical consultation. However, there is little evidence on how HNA impacts on the dynamics of the clinical consultation. This study aims to establish (1) how HNA affects the type of conversation that goes on during a clinical consultation and (2) how these putative changes impact on shared decision-making and self-efficacy. METHODS AND ANALYSIS: The study is hosted by 10 outpatient oncology clinics in the West of Scotland and South West England. Participants are patients with a diagnosis of head and neck, breast, urological, gynaecological and colorectal cancer who have received treatment for their cancer. Patients are randomised to an intervention or control group. The control group entails standard care--routine consultation between the patient and clinician. In the intervention group, the patient completes a holistic needs assessment prior to consultation. The completed assessment is then given to the clinician where it informs a discussion based on the patient's needs and concerns as identified by them. The primary outcome measure is patient participation, as determined by dialogue ratio (DR) and preponderance of initiative (PI) within the consultation. The secondary outcome measures are shared decision-making and self-efficacy. It is hypothesised that HNA will be associated with greater patient participation within the consultation, and that shared decision-making and feelings of self-efficacy will increase as a function of the intervention. ETHICS AND DISSEMINATION: This study has been given a favourable opinion by the West of Scotland Research Ethics Committee and NHS Research & Development. Study findings will be disseminated through peer-reviewed publications and conference attendance. TRAIL REGISTRATION NUMBER: Clinical Trials.gov NCT02274701.
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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 | 0.017 | 0.022 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.011 | 0.005 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.040 | 0.005 |
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".