Psychological concerns of Indian women with breast cancer in different national contexts: a systematic review and mixed-methods synthesis
Bibliographic record
Abstract
BACKGROUND: Breast cancer is becoming the most common cancer among women of Indian origin. However, little is known about the psychological impact of the disease and its treatment among this population. AIM: To improve understanding of psychological symptoms among Indian women with breast cancer. DESIGN: This is a systematic literature review and critical interpretive synthesis. Medical Subject Headings(MeSH) terms and keywords for breast cancer, psychological symptoms and treatment were used to search databases from inception to 7 May 2019. The reference lists of the included articles were examined. Search results were screened against the inclusion criteria, data were extracted, and quality was appraised by two independent researchers with recourse to a third. Narrative (quantitative) and thematic qualitative syntheses were applied, followed by critical interpretive synthesis. DATA SOURCES: ProQuest, MEDLINE, Ovid EMBASE, EBSCO, Cumulative Index to Nursing and Allied Health Literature, and PsycINFO. RESULTS: 18 of 763 studies from India or Canada were included (13 quantitative, 5 qualitative). Critical interpretive synthesis found psychological concerns similar to 'Western' women, but were framed by the common culture of Indian women in either country. Family structure, religion and community appear to protect against and cause distress in relation to the expected core role of being a wife and a mother and the male dominance in decision making. Stigma was amplified by poor knowledge about the nature of cancer. Migrant Indian women had additional problems due to language barriers. CONCLUSIONS: Indian women with breast cancer living in India and Canada experience psychological morbidities which profoundly affect their role in their family and the wider community. Culturally congruent care, including accessible communication and information, may help prevent and alleviate distressing symptoms whether in India or in a migrant community.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".