Assessment of the impact of breast cancer on women in Gombe State, Northeastern Nigeria
Bibliographic record
Abstract
Objective: The aim of the study is to assess the physical, financial, emotional and social impact of breast cancer on women in North east Nigeria.Methods: A qualitative transcendental phenomenological study design was adopted, using face-to face unstructured interview to collect data from 22 respondents who were recruited via purposive non-probability sampling technique. The interviews were recorded, transcribed verbatim and further analyzed using thematic analysis method into themes and sub-themes.Results: The result revealed excruciating pains that does not abate completely as the main physical impact, expensive cost of treatment as the major financial impact and crying as the major emotional impact of breast cancer on women. However, been diagnosed with breast cancer had no any consequences on participants’ relationship with spouse or family members.Conclusion: Breast cancer causes pain, makes women to cry and the treatment is very expensive but it does not cause relationship problems. There is therefore the need for Government and Non-governmental policies to be geared towards supporting women with breast cancer to overcome these challenges.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".