Exploring Cancer Treatment Decision-Making by Patients: A Descriptive Study
Bibliographic record
Abstract
OBJECTIVE: Using an interview-guided survey, our descriptive study aimed to document the extent to which cancer patients perceive they are involved in making treatment decisions and the factors that influence patient involvement. PATIENTS AND METHODS: Our study enrolled patients from a Canadian ambulatory oncology program who were undergoing chemotherapy or radiation therapy, or both, for cancer. The adapted Control Preferences Scale was used to survey perceived and preferred roles in decision-making. The study survey also included items from the Decisional Conflict Scale and the Preparation for Decision-Making Scale. RESULTS: Of 192 participants, 98 (51%) perceived that they were offered treatment choices. Of those 98, 47 (48%) thought that the options were presented equally. Compared with the patients not offered choices, those who were given choices were less passive (4% vs. 29%, p < 0.001) and more satisfied (100% vs. 95%, p < 0.03) in decision-making. Participants whose preferred and perceived roles were different would have preferred more involvement in decision-making. To attain the preferred involvement, patients wanted to receive more information on treatment options, to be given a choice, to have more discussion with the health care team, and to have providers better listen to their needs. CONCLUSIONS: Only half of surveyed patients thought that they were offered choices for their cancer treatment. When offered choices, patients were more active in decision-making. Further initiatives are required to determine approaches for supporting patients with cancer so that they can be more involved in decision-making.
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.
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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".