UNDERSTANDING REGARDING ANTIBIOTIC RESISTANCE AMONG HEALTH CARE PROFESSIONALS IN GOVERNMENT SECTOR OF TEHSIL GUJAR KHAN
Bibliographic record
Abstract
Background: Antibiotic resistance is found to be a continuous threat to effective prevention and treatment of infections and it is a common problem the world facing these days. The severity of problem has increased especially in developing countries with lack of understanding. The objective of the study was to assess the Knowledge, Attitude and Practices of antibiotic resistance among different types of health care professionals working in governmental sector of Punjab, Pakistan. Methods: A Cross sectional study was conducted by distributing questionnaire with 136 healthcare professionals working in Tehsil Head Quarter Hospital Gujar Khan, Rural Health Centre Qazian, Rural Health Centre Mandra and Rural Health Centre Daultala. Ethical approval was granted by the Institutional Review Board of Health Services Academy Islamabad. Questions were of true or false type in knowledge section. A Likert scale was used to assess of participants regarding use of antibiotics and its resistance developed among the patients. The responses of this scale ranged "from strongly agreed to strongly disagree, from always to never" and Practices were measured by different factors and drivers. Results: The total number of participants was 136, out of which there were (35%) males and 88 (65%) females. 80 respondents were from THQ Hospital Gujar khan and 56 participants were from three RHCs. It was found in the study that majority 79% (n=107) respondents were demanding by themselves to prescribe them antibiotics. It was found that more than half or 60% (n=81) people strongly agreed that antibiotic resistance is one of the biggest issue worldwide that needs to be addressed. The overall knowledge was found to be good but there were attitude and practice problems. Conclusion: The findings of this study indicate a diverse level of understanding of antibiotics resistance among different health care professionals. Therefore, serious concerns and efforts are still needed to develop, education and trainings to implement strategies to minimize the future risks of antibiotic resistance.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".