Perceptions of Survivorship Care among South Asian Female Breast Cancer Survivors
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: To explore the perceptions of South Asian (sa) breast cancer survivors concerning their follow-up care, and to determine the optimal content and format of a survivorship care plan (scp) for this population, according to various life stages. METHODS: A survey was mailed to 259 sa women with a diagnosis of nonmetastatic breast cancer who were 18-85 years of age, 3-60 months post-discharge, and not on active treatment. Descriptive statistics and content analysis were applied to the responses. The data were cross-tabulated by age: group A (<44 years), group B (45-54 years), group C (55-64 years), and group D (>64 years). RESULTS: We received 64 completed surveys. The compliance rate for adjuvant hormonal therapy was high (86.3%). Most of the respondents (n = 61, 95.4%) had visited their family doctor within several months (0.5-24 months) after discharge. Their main physical effects concern was fatigue, and anxiety concerning health was the main psychosocial impact. Groups A and B were more concerned about physical appearance, depression, and the impact of cancer on family members. Women in the older groups were concerned about family obligations and work issues. Several women (n = 9, 14.1%) described strain on their marriage and on their relationships with family and friends as significant issues. Slightly more than one third (n = 24, 37.5%) experienced a deepening of faith, and almost as many (n = 23, 35.9%) felt that their illness was something that was meant to happen. CONCLUSIONS: Many of the impacts of breast cancer treatment are shared by women of all ethnic backgrounds. Others-such as high levels of compliance, little reported strain on spousal and family relationships, and the importance of faith-reflect specific cultural variations. These universal and culture-specific themes should all be kept in mind when developing a scp tailored to sa women. The developmental life stage of a woman affects how she views the cancer diagnosis, especially with respect to family, reproduction, and work issues.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".