Barriers to breaking bad news among medical and surgical residents
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
UNLABELLED: Communicating "bad news" to patients and their families can be difficult for physicians. OBJECTIVE: This qualitative study aimed to examine residents' perceptions of barriers to delivering bad news to patients and their family members. DESIGN: Two focus groups consisting of first- and second-year medical and surgical residents were conducted to explore residents' perceptions of the bad news delivery process. The grounded theory approach was used to identify common themes and concepts, which included: (1) guidelines to delivering bad news, (2) obstacles to delivering bad news and (3) residents' needs. SETTING: McMaster University, Hamilton, Ontario, Canada. SUBJECTS: First- and second-year residents. RESULTS: Residents were able to identify several guidelines important to communicating the bad news to patients and their family members. However, residents also discussed the barriers that prevented these guidelines from being implemented in day-to-day practice. Specifically, lack of emotional support from health professionals, available time as well as their own personal fears about the delivery process prevented them from being effective in their roles. Residents relayed the need for increased focus on communication skills and frequent feedback with specific emphasis on the delivery of bad news. The residents in our study also stressed the importance of processing their own feelings regarding the delivery process with staff. CONCLUSIONS: Although most residents realize important guidelines in the delivery of bad news, their own fears, a general lack of supervisory support and time constraints form barriers to their effective interaction with patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 it