KNOWLEDGE, ATTITUDE AND USE OF HYDROXUYREA AMONG ADULT SICKLE CELL DISEASE PATIENTS.
Bibliographic record
Abstract
INTRODUCTION: Hydroxyurea is the only cytotoxic drug approved for use in the care of sickle cell disease patients. It has been found to be effective in fixed low dose in low resource economy where the cost of the drug and frequent monitoring may be a barrier. This study looked at the knowledge, attitude and use of hydroxyurea in a low resource country with a high burden of the disease. METHODS: Data was obtained using a self-administered questionnaire in 101 consecutive adult sickle cell disease patients in a tertiary health care facility. RESULTS: All the patients responded to the questionnaire, majority (67%) of the respondents were below 40years with equal numbers of male and female patients. Of the respondents, 15.5% have ≥ 3 painful crises in a year. Half of the respondents were not admitted in the preceding year with 6 (5.9%) of them having had ≥3 admissions. Less than a quarter (21.2%) had knowledge of hydroxyurea, but 52.5% were willing to use the drug while 4.3% had previously or are currently using it. Only 11 respondents were aware of the side effects and the information was mostly through their Physicians. Those willing to use the drug were also willing to attend follow-up clinic monthly. CONCLUSION: Though the awareness about hydroxyurea is low in our group of patients, many are willing to use the medication and attend follow up clinics. There is a need to create more awareness about the drug especially by Physicians who care for the 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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".