Supported self-management as a model for end-of-life care in the setting of malignant bowel obstruction: A qualitative study
Bibliographic record
Abstract
OBJECTIVE: Women with advanced gynecologic cancer and malignant bowel obstruction (MBO) undergo repeated hospitalizations, experience feelings of isolation and abandonment, and often die in acute settings. Innovative outpatient models of care are needed to address the unmet needs of this population at the end-of-life. We implemented a novel supported self-management (SMS) program focused on increasing patients' skill and confidence in managing MBO proactively in the ambulatory setting. METHODS: We performed a qualitative descriptive study embedded in a prospective single-arm evaluative trial (Clinicaltrials.gov ID: NCT03260647) to understand the impact of this program on patients' sense of support, degree of distress, quality of care, and capacity to self-manage. Semi-structured interviews were completed and analysed using the Chronic Care Model as a theoretical framework. Data saturation was confirmed after 15 interviews. RESULTS: Fifteen patients (age range: 47-82) with diagnoses of advanced ovarian, endometrial, and cervical cancer were interviewed; 10 had died by end of follow-up, with a median interval from interview to death of 5 months. Patients were able to self-manage the: (i) medical aspects; (ii) psychological consequences, and (iii) changes in life roles and expectations resulting from their condition. Patients felt greatly supported, less isolated, and secure in their knowledge and ability to access care due to SMS. While patients understood their disease was not curative they did not fully appreciate that MBO signalled a significantly poorer prognosis. CONCLUSION: Outpatient SMS interventions can be successfully implemented even for rapidly fatal conditions at the end-of-life and offer significant benefit to gynecologic cancer patients with MBO. Counselling should focus on the specific trajectory of MBO, and early palliative care referrals should be standard practice.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".