Stakeholder perspectives of a pilot multicomponent delirium prevention intervention for adult patients with advanced cancer in palliative care units: A behaviour change theory-based qualitative study
Bibliographic record
Abstract
Background: Theory-based and qualitative evaluations in pilot trials of complex clinical interventions help to understand quantitative results, as well as inform the feasibility and design of subsequent effectiveness and implementation trials. Aim: To explore patient, family, clinician and volunteer (‘stakeholder’) perspectives of the feasibility and acceptability of a multicomponent non-pharmacological delirium prevention intervention for adult patients with advanced cancer in four Australian palliative care units that participated in a phase II trial, the ‘PRESERVE pilot study’. Design: A trial-embedded qualitative study via semi-structured interviews and directed content analysis using Michie’s Behaviour Change Wheel and the Theoretical Domains Framework. Setting/participants: Thirty-nine people involved in the trial: nurses ( n = 17), physicians ( n = 6), patients ( n = 6), family caregivers ( n = 4), physiotherapists ( n = 3), a social worker, a pastoral care worker and a volunteer. Results: Participants’ perspectives aligned with the ‘capability’, ‘opportunity’ and ‘motivation’ domains of the applied frameworks. Of seven themes, three were around the alignment of the delirium prevention intervention with palliative care (intervention was considered routine care; intervention aligned with the compassionate and collaborative culture of palliative care; and differing views of palliative care priorities influenced perspectives of the intervention) and four were about study processes more directly related to adherence to the intervention (shared knowledge increased engagement with the intervention; impact of the intervention checklist on attention, delivery and documentation of the delirium prevention strategies; clinical roles and responsibilities; and addressing environmental barriers to delirium prevention). Conclusion: This theory-informed qualitative study identified multiple influences on the delivery and documentation of a pilot multicomponent non-pharmacological delirium prevention intervention in four palliative care units. Findings inform future definitive studies of delirium prevention in palliative care. Australian New Zealand Clinical Trials Registry, ACTRN12617001070325; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=373168
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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 | 0.028 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".