Exploration of the contexts surrounding the implementation of an intervention supporting return-to-work after breast cancer in a primary care setting: starting point for an intervention development
Bibliographic record
Abstract
BACKGROUND: Many recommendations have been made regarding survivorship care provided by teams of primary care professionals. However, the nature of that follow-up, including support for return-to-work (RTW) after cancer, remains largely undefined. As implementation problems are frequently context-related, a pilot study was conducted to describe the contexts, according to Grol and Wensing, in which a new intervention is to be implemented. This pilot study is the first of three steps in intervention development planning. METHOD: In-depth semi-structured interviews (n=6) were carried out with stakeholders selected for their knowledgeable perspective of various settings, such as hospitals, primary care, employers, and community-based organizations. Interviews focused on participants' perceptions of key contextual facilitators and barriers to consider for the deployment of an RTW intervention in a primary care setting. Data from interviews were transcribed and analyzed. A content analysis was performed based on an iterative process. RESULTS: An intervention supporting the process of RTW in primary care makes sense for participants. Results suggest that important levers are present in organizational, professional, and social settings. However, many barriers, mainly related to organizational settings, have been identified, eg, distribution of tasks for survivor follow-up, continuity of information, and coordination of care between specialized oncology care and general primary care. CONCLUSION: To develop and deploy the intervention, recommendations that emerged from this pilot study for overcoming barriers were identified, eg, training (professionals, survivors, and employers), the use of communication tools, and adopting a practice guide for survivor care. The results were also helpful in focusing on the relevance of an intervention supporting the RTW process as a component of primary care for survivors.
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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 | 0.026 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".