Barriers to palliative care use among surgical patients: perspectives of practicing surgeons across Michigan
Bibliographic record
Abstract
BACKGROUND: Despite the clear benefits of palliative care, surgical patients are less likely to receive palliative care consultations when compared to their medical counterparts. In this context, we conducted semi-structured interviews with a diverse range of practicing surgeons to better understand surgeon attitudes and experiences with both palliative care approaches and specialty services. METHODS: Forty-six surgeons from community, tertiary-care, and academic institutions across the state of Michigan agreed to participate in this study. Each participant's interview lasted between 30 and 60 minutes and was digitally recorded. Audiotapes were transcribed verbatim and de-identified for names and places. The data were analyzed through iterative steps informed by thematic analysis. RESULTS: Six major themes emerged describing surgeon-reported barriers to palliative care approaches and use of palliative care services, which were observed at the surgeon-level, patient and family-level, and system-level. At the surgeon-level, the following three major themes emerged: surgeon knowledge and attitudes, prognostication challenges, and surgeon identity. At the patient and family-level, two major themes were identified: expectations and discordance. At the system-level, two major themes emerged: culture and resources. CONCLUSIONS: Among our cohort of surgeons, several key factors influenced their use of palliative approaches and specialty palliative care services. A better understanding of surgeon-perceived barriers may lead to future work aimed at creating meaningful, surgeon-specific interventions that address the underuse of this important care for surgical patients and patients being considered for surgery.
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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 | 0.000 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".