The mental health needs of women in natural disasters
Bibliographic record
Abstract
CONTEXT: Considering the importance of psychological issues during disasters and the key role of women in the family and society, a preventive approach toward mental health improvement in women is of great importance. AIMS: This study aimed to identify the mental health needs of women in natural disasters through a preventive approach. SETTINGS AND DESIGN: The present qualitative study was conducted through content analysis method and semi-structured interviews with 40 specialists and seven women who had experienced natural disasters. The study participants were selected through snowball and purposive sampling. SUBJECTS AND METHODS: A heterogeneous sample was selected. To ensure the reliability and verifiability of data, the texts of the interviews were approved by each interviewee. STATISTICAL ANALYSIS USED: Thematic analysis was used to report findings. RESULTS: In this study, two themes, seven main categories, and 21 subcategories and secondary codes were extracted. The themes were internal physical (biological) and external environmental (social, political and legal measures, cultural and spiritual measures, psychology, and lifestyle) factors. CONCLUSIONS: The dimensions related to the mental health of women are multifactorial and beyond only psychological variables. The improvement of the mental health of women can be achieved through aggregation of perspectives in different organizational, governmental, and political areas in collaboration within the society with a healthy gender perspective free of discrimination, inequality, and injustice.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".