Quality of Life in Thalassemia Major Patients in an Iranian District
Bibliographic record
Abstract
INTRODUCTION: Beta thalassemia major is a chronic inherited disease which leaves a lot of physical and mental effects on the individual and family. The present research was carried out with the objective of a study on quality of life in thalassemia major patients of Boeir-Ahmad. METHOD: This research is a descriptive- analytical study which was carried out on 72 thalassemia patients referring to thalassemia center of Boeir-Ahmad. The patient’s quality of life was studied using an Iranian version of short questionnaire with 36 options on quality of life. The social and individual characters of Patient’s were evaluated and reported. Data are reported using descriptive statistics such as frequency, mean and standard deviation and also inferential statistics. RESULTS: The age mean and standard deviation (SD) of participants were 20.5± 4.7 years, 65% were single, and 40% with mild to moderate face deformities. The findings in the research showed the quality of life was relatively desirable in 52 % of the patients, undesirable in 19% and desirable in 29%. Also the findings showed that the emotional role is most affected aspect of quality of life. A significant correlation was observed only with facial changes (p<0.001).undesirable and relatively desirable quality of life and also the high prevalence of facial deformities are significant health problems in Boirahmad thalassemia patients. CONCLUSION: So we suggest applying appropriate educational plans and psychiatric consultations and also better medical services to reduce the complications of the disease in these patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".