The Knowledge of Medical Personnel about AIDS Disease in the Czech Republic in comporacion with Canada
Bibliographic record
Abstract
HIV/AIDS. One of the most feared sexually transmitted diseases, which is currently on the rise in the Czech Republic. The more emphasis should be placed on healthcare staff.Healthcare workers are mostly endangered by injuries caused by a contaminated syringe needle, which can transmit more than 20 diseases, including HIV, hepatitis B and hepatitis C. Nurses, doctors, but also support staff and other healthcare workers are all at risk. Goal of the paper was to ascertain the level of awareness of healthcare staff in Českobudějovická nemocnice a.s. (The České Budějovice Hospital), and to find out how the staff use their knowledge in practical preventive measures. Obtained results were compared with the results of nurses' awareness and protection in Canada. The research was conducted through a quantitative data collection, namely through a questionnaire survey and hidden observation. The research focused on nurses of surgery, internal medicine, neurology, dermatology and ENT departments. Results of the questionnaire survey were consequently compared with results of the research conducted by Mgr. Jolana Ročňová, DiS. among nurses in Foot Hills Hospital in Calgary in 2006 - through quantitative data collection, secondary data analysis and questionnaire survey. In addition, results were compared with the bachelor thesis ''Occupational Injury Rates among Nurses#x201c; by Renata Pilečková, from 2004. The following hypotheses were employed: healthcare staff's awareness in České Budějovice is sufficient; healthcare workers use preventive measures to a minimum extent. The last hypothesis assumed that better results on the use of knowledge were obtained in Canada. Results of the latter two hypotheses were confirmed in the end.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".