The black box of the relationship between breast cancer patients and accompanying patients: the accompanied patients’ point of view
Bibliographic record
Abstract
BACKGROUND: The PAROLE-Onco program was introduced in the province of Quebec, Canada in 2019. It integrates accompanying patients (APs), i.e., people who have been affected by cancer, into the clinical team as full members. These APs use their experiential knowledge with people undergoing treatment and with clinical teams. The aim of this paper is to evaluate, within the framework of two university medical centers, the perceptions of breast cancer patients who receive support from APs, particularly in terms of their active involvement in their care trajectory. METHODS: A qualitative study based on semi-structured interviews with accompanied patients was performed. Fourteen individual interviews were conducted between July and September 2021 with women presenting different profiles in terms of age, education, professional status, type of treatment, family situation, and clinical background. The data were analyzed using thematic analysis, focusing on patients' perceptions of APs' contributions and suggested improvements for accessing AP support. RESULTS: Three themes emerged from the semi-structured interviews: communication modalities used to connect patients with their APs, the characteristics of the support provided by APs, and the perceived effects of this support on the patients. Patients expressed a preference for telephone communication, highlighting its convenience and accessibility. The support provided by APs included emotional and informational support, neutrality, and adaptability. This relationship improved patient communication, reduced anxiety, helped regain control, and enhanced overall quality of life. The results emphasized the added value of APs in complementing the support offered by healthcare professionals. Patients noted the critical role of APs in helping them navigate the healthcare system, better understand their treatment processes, and manage their emotions. The ability of APs to provide practical advice and emotional reassurance was particularly valued. Overall, the findings underscored the significant impact of AP support on patients' experiences and highlighted areas for enhancing this service. CONCLUSION: This study highlights, during the care trajectory of people affected by breast cancer, APs' contribution to patients' emotional well-being because they improve, in particular, the management of emotions and communication with health professionals.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".