Knowledge, Attitude and Practices of Healthcare Providers Regarding Infection Control at Tertiary Care Hospital
Bibliographic record
Abstract
Background: Nosocomial infections are the major cause of high morbidity and mortality in developing countries like Pakistan. Standard precautions; based on good self-care practices, adequate knowledge and positive attitude can decrease the consequences of nosocomial infections. Objective: The objective of the study is to know about the knowledge, attitudes and practices of health care providers regarding infection control in Hayatabad Medical Complex Peshawar. Method: This was descriptive cross-sectional study conducted at Hayatabad Medical Complex Peshawar. In the health care providers we included doctors, nurses, pathologists and paramedics. Convenient sampling technique was used. After taking informed consent, the adopted questionnaires were filled from participants regarding knowledge, attitudes and practices about infection control. Results: Out of total 88 health-care workers, 44.3 % were male and 55.7% were females. On average, 83% of the participants are knowledgeable about the mode of transmission of infectious diseases while 96.6% of the participants responded that transmission based precautions help in infection control however, 98.9% of the respondents say PPE and following of standard precautions play a vital role in infection control. On average, 56% of health care workers say that there is a lack of PPE and 92% of HCWs wash their hands before and after the procedure. The overall use of PPE was 80.7 % however 75 % of the HCWs did the practice of recapping the needles after using. Conclusion: The overall knowledge, attitude and practices of the responding health care providers were good. Keywords: Knowledge; Attitude; Practices; Nosocomial infection
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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 | 0.000 | 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 | 0.000 | 0.000 |
| 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".