Preparing for colorectal surgery: a qualitative study of experiences and preferences of patients in Western Canada
Bibliographic record
Abstract
OBJECTIVES: The burden and costs of abdominal surgery for chronic conditions are on the rise, but could be reduced through self-management support. However, structured support to prepare for colorectal surgery is not routinely offered to patients in Canada. This study aimed to describe experiences and explore preferences for multimodal prehabilitation among colorectal surgery patients. METHODS: A qualitative descriptive study using three focus groups (FG) was held with 19 patients who had a surgical date for abdominal surgery (April 2017-April 2018) and lived close (≤ 50 km radius) to a tertiary hospital in Western Canada (including a Surgical Lead for the British Columbia Enhanced Recovery After Surgery (ERAS) Collaborative). FGs were audio-taped and verbatim transcribed with coding and pile-and-sort methods performed by two independent reviewers, confirmed by a third reviewer, in NVivo v9 software; followed by thematic analysis and narrative synthesis. RESULTS: Four themes emerged: support, informed decision-making, personalization of care, and mental/emotional health, which patients felt was particularly important but rarely addressed. Patient preferences for prehabilitation programming emphasised regular support from a single professional source, simple health messages, convenient access, and flexibility. CONCLUSIONS: There is an unmet need for structured preoperative support to better prepare patients for colorectal surgery. Future multimodal prehabilitation should be flexible and presented with non-medical information so patients can make informed decisions about their preoperative care and surgical outcomes. Healthcare providers have an important role in encouraging healthy lifestyle changes before colorectal surgery, though clearer communication and accurate advice on self-care, particularly mental health, are needed for improving patient outcomes.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".