THE LIVED EXPERIENCES OF PARENTS OF YOUNG WOMEN WITH MULTIPLE SCLEROSIS IN IRAN
Bibliographic record
Abstract
Abstract Background: Chronic illness in children causes more mental health risks for parents than other members of the family. Therefore, exploring the experiences of parents living with young women who have multiple sclerosis and presenting them to healthcare planners and managers can have a positive impact on community health. This study aimed to explore the experiences of parents of young women with multiple sclerosis in Iran. Methods: This research was a phenomenological study, and sampling was continued until data saturation, and 12 participants were chosen. The data were gathered using semi-structured interviews and analyzed using Colaizzi's method. Results: Open coding resulted in 450 codes, and after several stages of analysis and integration of similar codes, five main concepts, and 21 sub-concepts was produced. The main concepts included distress, trapping, adaptation barriers, response to illness, and reconciliation with the disease. Conclusion: This study showed the disease affects all dimensions of the parents' life and can lead to the experiences that are new to them and may lead to confusion. These findings can lead to more effective parental care for their daughters. It can also reduce the burden of disease on the family, the health system, and the community.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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 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".