‘I don’t talk about my distress to others; I feel that I have to suffer my problems...’ Voices of Indian women with breast cancer: a qualitative interview study
Bibliographic record
Abstract
BACKGROUND: Breast cancer is the commonest form of cancer among women globally, including in India. The rising incidence in the developing world is thought to be due to increased life expectancy, urbanisation, and adoption of western lifestyles. A recent systematic review found that Indian women living in India or as immigrants in Canada experienced a range of psychological distresses both ameliorated and exacerbated by cultural issues personally, within the family, within their community, and in the context of faith, and only two of the five qualitative studies explored the experience of women with breast cancer living in India. Distress may also affect treatment compliance. AIM: The aim of the study was to explore the psychological distresses experienced by Indian women with breast cancer living in Kerala, South India, during and after treatment and to understand better what helped to relieve or increase these distresses. METHODS: In-depth interviews were conducted with 20 consenting women undergoing treatment for breast cancer. Purposive sampling was used to obtain maximum variation in sociodemographic and clinical characteristics. Interviews were verbatim transcribed, translated into English, and back-translated to Malayalam to ensure that the meaning had not been lost. English data were analysed using thematic frame work analysis and synthesised to provide a deeper understanding of the individuals' experience. RESULTS: Three major themes emerged from the data. The first major theme was 'far-reaching psychological distress'. This included anxiety, guilt, anger, and depression in response to the disease and physical side effects of treatment and issues relating to body image, especially hair loss and sexuality. The second major theme was 'getting on with life'. Women tried to make sense of the disease, by actively seeking information, the role of medical professionals, and their practical adaptations. Many found a new future and a new way to live normal. The third major theme was the 'support system' strongly based on family, friends, faith, and the community which affect them positively as well as negatively. CONCLUSION: Psychological concerns related to disease and treatment are common in Indian women with particular emphasis on body image issues associated with hair loss. Family and faith were key support systems for almost all the women, although it could also be the causes of distress.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".