Enablers and barriers to using patient decision aids in early stage breast cancer consultations: a qualitative study of surgeons’ views
Bibliographic record
Abstract
BACKGROUND: For early stage breast cancer, randomized controlled trials (RCTs) have shown that patient decision aids (PtDAs), when used by surgeons, result in increased patient knowledge about options and different patient treatment choices as compared to standard care. Yet, recent data suggests that PtDAs are used by less than 25% of Canadian cancer physicians. We conducted a study to explore breast cancer surgeons' views on enablers and barriers to the use of PtDAs in their practice. METHODS: Purposeful sampling was used to select breast cancer surgeons in three Ontario health regions to participate in semi-structured interviews. Inductive coding and the constant comparative method were used to identify the main themes. RESULTS: Twenty-two surgeons (79%) agreed to participate (median age, 50 years; 9 (40%) female). Surgeons practiced in academic (n = 7, 32%) or community (n = 15, 68%) hospitals. Fourteen surgeons were aware of PtDAs, nine had used a PtDA with patients as part of an RCT, and six had developed their own informal PtDA for use in their practice. Enablers of informal PtDA use included surgeon exposure during training and surgeon perceived need for a systematic approach when communicating risks and benefits of surgical treatments with patients. Barriers to formal PtDA use included high surgeon confidence in their verbal communication skills, surgeon belief that patients understood conveyed information, and difficulties embedding such tools in practice routines. CONCLUSIONS: Surgeons in this study valued systematic communication with patients. Several surgeons changed their practice to include formal or informal PtDAs provided they perceived there was a clear benefit to themselves or to patients. However, high surgeon confidence in their personal communications skills coupled with beliefs that patients understand conveyed information may be key barriers to PtDA uptake once surgeons have established communication routines.
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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 | 0.016 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".