Advancing the Care Experience for patients receiving Palliative care as they Transition from hospital to Home (ACEPATH): Codesigning an intervention to improve patient and family caregiver experiences
Bibliographic record
Abstract
BACKGROUND: Returning home from the hospital for palliative-focused care is a common transition, but the process can be emotionally distressing and logistically challenging for patients and caregivers. While interventions exist to aid in the transition, none have been developed in partnership with patients and caregivers. OBJECTIVE: To undergo the initial stages of codesign to create an intervention (Advancing the Care Experience for patients receiving Palliative care as they Transition from hospital to Home [ACEPATH]) to improve the experience of hospital-to-home transitions for adult patients receiving palliative care and their caregiver(s). METHODS: The codesign process consisted of (1) the development of codesign workshop (CDW) materials to communicate key findings from prior research to CDW participants; (2) CDWs with patients, caregivers and healthcare providers (HCPs); and (3) low-fidelity prototype testing to review CDW outputs and develop low-fidelity prototypes of interventions. HCPs provided feedback on the viability of low-fidelity prototypes. RESULTS: Three patients, seven caregivers and five HCPs participated in eight CDWs from July 2022 to March 2023. CDWs resulted in four intervention prototypes: a checklist, quick reference sheets, a patient/caregiver workbook and a transition navigator role. Outputs from CDWs included descriptions of interventions and measures of success. In April 2023, the four prototypes were presented in four low-fidelity prototype sessions to 20 HCPs. Participants in the low-fidelity prototype sessions provided feedback on what the interventions could look like, what problems the interventions were trying to solve and concerns about the interventions. CONCLUSION: Insights gained from this codesign work will inform high-fidelity prototype testing and the eventual implementation and evaluation of an ACEPATH intervention that aims to improve hospital-to-home transitions for patients receiving a palliative approach to care. PATIENT OR PUBLIC CONTRIBUTION: Patients and caregivers with lived experience attended CDWs aimed at designing an intervention to improve the transition from hospital to home. Their direct involvement aligns the intervention with patients' and caregivers' needs when transitioning from hospital to home. Furthermore, four patient/caregiver advisors were engaged throughout the project (from grant writing through to manuscript writing) to ensure all stages were patient- and caregiver-centred.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".