Patients as partners in Enhanced Recovery After Surgery: A qualitative patient-led study
Bibliographic record
Abstract
OBJECTIVES: Explore the experience of patients undergoing colorectal surgery within an Enhanced Recovery After Surgery (ERAS) programme. Use these experiential data to inform the development of a framework to support ongoing, meaningful patient engagement in ERAS. DESIGN: Qualitative patient-led study using focus groups and narrative interviews. Data were analysed iteratively using a Participatory Grounded Theory approach. SETTING: Five tertiary care centres in Alberta, Canada, following the ERAS programme. PARTICIPANTS: Twenty-seven patients who had undergone colorectal surgery in the last 12 months were recruited through purposive sampling. Seven patients participated in a codesign focus group to set and prioritise the research direction. Narrative interviews were conducted with 20 patients. RESULTS: Patients perceived that an ERAS programme should not be limited to the perioperative period, but should encompass the journey from diagnosis to recovery. Practical recommendations to improve the patient experience across the surgical continuum, and enhance patient engagement within ERAS included: (1) fully explain every protocol, and the purpose of the protocol, both before surgery and while in-hospital, so that patients can become knowledgeable partners in their recovery; (2) extend ERAS guidelines to the presurgery phase, so that patients can be ready emotionally, psychologically and physically for surgery; (3) extend ERAS guidelines to the recovery period at home to avoid stressful situations for patients and families; (4) consider activating a programme where experienced patients can provide peer support; (5) one size does not fit all; personalised adaptations within the standardised pathway are required.Drawing upon these data, and through consultation with ERAS Alberta stakeholders, the ERAS team developed a matrix to guide sustained patient involvement and action throughout the surgical care continuum at three levels: individual, unit and ERAS system. CONCLUSION: This patient-led study generated new insights into the needs of ERAS patients and informed the development of a framework to improve patient experiences and outcomes.
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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 | 0.015 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".