Symptom Management Experiences among Breast Cancer Survivors Undergoing Chemotherapy: Insights from a Mixed Method Approach
Bibliographic record
Abstract
Background: Breast cancer, a significant global health concern, involves complex treatment regimens like chemotherapy that adversely affect patients’ physical and psychological well- being. The primary aim was to explore the Chemotherapy symptoms management experiences among Breast Cancer Survivors. Objective: To investigate the range of symptoms management experienced by breast cancer survivors during and after chemotherapy. To measure the chemotherapy symptoms severity among breast cancer survivors. To associate the symptoms severity levels with selected socio demographic variables. To integrate the qualitative and quantitative findings. Materials and Methods: In the present study, researcher adopted Mixed method design by quantitative 60 samples and qualitative 6 sample using non-probability purposive and convenient technique. The tools include Socio-Demographic Data, Edmonton symptom assessment scale and Breast cancer survivors experience. Results: The study revealed significant findings across various themes. Under the theme of symptom experiences, patients experienced notable hair loss, taste alterations, and weight fluctuations. The Emotional and Psychological Effects theme highlighted issues such as isolation, fear, and oscillations between hope and despair. Support Systems were crucial, with significant roles played by family, friends, and medical professionals in providing emotional and physical support. Adaptation and Lifestyle Changes involved necessary dietary modifications and reduced activity, emphasizing the psychological resilience exhibited by patients. Notably, 80% of the patients were mildy experienced , while 20% were moderately experienced. Conclusion: The findings underscore the necessity for an integrated approach in nursing practice, focusing on both the nutritional and psychological aspects of patient care. Regular assessments, personalized care plans, and the involvement of comprehensive support systems are essential to mitigate the adverse effects of chemotherapy and enhance patient well-being and treatment outcomes.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| 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".