Women's perceptions of events impeding or facilitating the detection, investigation and treatment of breast cancer
Bibliographic record
Abstract
An integrated network is currently being implemented in the province of Quebec in order to improve the cancer care continuum. In this context, formal trajectories for cancer patients through healthcare services are being established. The investigation of patients' perceptions of the healthcare continuum is essential as it allows us to identify the issue of continuity/discontinuity of health services. In addition, patients' perceptions of continuity of cancer care should be documented since they could influence the implementation of optimal trajectories through the healthcare services. An exploratory qualitative study was conducted in order to identify events, based on the perceptions of women with breast cancer, that made the patient progress more rapidly, facilitating events, or more slowly, impeding events, within the cancer care continuum. Two consecutive series of women receiving adjuvant radiation therapy in 2002 and 2003 at the University Hospital of Quebec City were recruited, for a total of 120 participants. A semi-structured interview was administered in order to identify women's perceptions regarding impeding and facilitating events during the detection, investigation and treatment periods of cancer, as well as the actors and reasons involved. Overall, 64% of women reported having at least one impeding event, while 68% reported at least one facilitating event. The periods most frequently affected by impeding or facilitating events were the investigation period, followed by the treatment period. The main stages affected by impeding or facilitating events were the scheduling of an appointment, during the investigation period, and the onset of treatment. Impeding events particularly affected the scheduling of mammography, the initial exam of the investigation for breast cancer, as well as the onset of radiation treatment. On the other hand, facilitating events mainly occurred at the time of the scheduling of medical consultations with specialists, during the investigation period, and of the onset of surgery. Finally, women generally perceived that impeding events were due to a lack in the availability of services and that facilitating events resulted from human intervention. Patients' perceptions, such as those regarding the importance of human intervention in the process of continuity of care, should be taken into account by healthcare authorities in charge of implementing cancer control programmes.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".