The role of patient and physician advocacy in reducing wait times for cancer care: a qualitative analysis
Bibliographic record
Abstract
BACKGROUND: There is growing interest in the role of physician as health advocate; however, few studies have documented advocacy from the patient's perspective. To address this gap, we examined the experiences of patients with cancer from the onset of symptoms to the start of treatment in Newfoundland and Labrador and aimed to describe wait times and efforts to improve timeliness of care from the patients' perspective. METHODS: We conducted qualitative interviews with 60 participants aged 19 years or more with breast, colorectal, lung or prostate cancer who were recruited from a survey of patients with cancer that was carried out as an earlier part of a larger study. All survey participants had received care at regional cancer clinics in Newfoundland and Labrador and were selected by means of purposive sampling based on their type of cancer, level of satisfaction with care and place of residence (urban, semiurban or rural). Interviews were transcribed verbatim and coded by means of a thematic approach. RESULTS: Participants described actions taken by themselves, their families/friends or members of their health care team to reduce their wait for a diagnosis and/or treatment. In all instances, participants believed that these actions resulted in more timely care. Participants reported that "insider knowledge" of health care professionals (whether friends, family members or members of the care team) was particularly valuable in reducing delays. INTERPRETATION: The use of advocacy was relatively commonplace. The role of advocacy, whether it originates from patient or caregiver, is important to ensure access to timely, good-quality cancer care.
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 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 | 0.024 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".