Clinicians’ Perspectives on Barriers to Discussing Infertility and Fertility Preservation With Young Women With Cancer
Bibliographic record
Abstract
Importance: Infertility can be a devastating adverse effect of cancer treatment for young women. Fertility preservation may be an important and influential factor in treatment decisions. Despite American Society of Clinical Oncology guidelines recommending discussion around potential infertility with patients, nearly 50% of young women with cancer remain uninformed. Objective: To understand and describe from clinicians' perspectives the barriers to discussing infertility and fertility preservation with young women with cancer. Design, Setting, and Participants: This qualitative study used purposeful, maximum variation, and snowball sampling strategies to recruit 22 clinicians from cancer centers and community hospitals in 5 Canadian provinces, 5 practice areas, and 12 practice sites. Eligibility criteria included clinicians who regularly treat young women with cancer who might need fertility preservation. Telephone interviews that lasted between 30 to 75 minutes were conducted between May and November 2014 using a semistructured interview guide. Thematic analysis was used to discern the nature of barriers, and the Cabana framework was used to organize and interpret these findings. Analysis was conducted from May 2014 until May 2015. Main Outcomes and Measures: Clinician perspectives on what influences their nonadherence to American Society of Clinical Oncology guidelines, which recommend discussing fertility preservation with patients. Results: A total of 22 clinicians were interviewed, including 8 medical oncologists, 4 surgical oncologists, 4 fertility specialists, 3 hematology and oncology specialists, and 3 nurse practitioners or clinician nurse specialists. Seventeen clinicians were women and 5 clinicians were men; the median (range) time in practice was 10 (0.67-37) years. Analysis suggested that clinicians' unfamiliarity with infertility risks, fertility preservation technologies, referral processes, and procedures, as well as environmental factors and their perceptions of fertility preservation, influenced their practices regarding fertility discussions. Conclusions and Relevance: The findings of this qualitative study suggest that the individual and environmental challenges that clinicians experience might negatively affect their willingness and ability to raise fertility-related issues with young women with cancer. Multiple strategies are needed to address these challenges to improve overall care of young women with cancer.
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 | 0.015 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| 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".