The concept of coping in male spouses of Iranian women with breast cancer: A qualitative study using a phenomenological approach
Bibliographic record
Abstract
INTRODUCTION: Breast cancer is a multidimensional crisis that affects not just the patient, but the spouse and other family members. Coping with this phenomenon, as one of the important challenges for the families and spouses, requires investigation. Understanding more about how spouses of women with breast cancer cope with this crisis could lead to better performance of spouses in front of their wives and raise their wives' quality of life. PURPOSE: The study was conducted to explore the concept of coping based on the lived experiences of spouses of women with breast cancer. METHODS: This qualitative study was conducted with a phenomenological approach in Hamedan and Rasht cities in Iran in 2019. Participants included 20 spouses of women with breast cancer selected by a purposive sampling method. Data were collected through unstructured face-to-face interviews and analyzed using van Manen's six-stage phenomenological method. RESULTS: The lived experiences of participants showed that the phenomenon of coping in spouses of women with breast cancer included five themes: Emotional pain, Shouldering the burden of care, Striving for family life cohesion, Future in ambiguity, and Sense of loss of self concept. Understanding the concept of coping in the spouses of women with breast cancer in health strategies can help wives achieve effective adaptation and also help professionals take effective measures in the field of medical care for patients and their spouses.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".