Knowledge, attitude, and practice of hand washing among healthcare workers in a tertiary health facility in northwest Nigeria
Bibliographic record
Abstract
Background: Healthcare-associated infections (HAIs) affect 1.7 million patients at any time worldwide, causing important morbidity and mortality. Up to 40% of all HAIs are thought to be transmitted by the hands of healthcare workers (HCWs). Hand washing is the most effective way of preventing the spread of infectious diseases in healthcare settings. This study assessed knowledge and practice hand washing among HCWs in Ahmadu Bello University Teaching Hospital, a tertiary healthcare center in Zaria, Kaduna State, northwestern Nigeria. Methods: A cross-sectional descriptive study was carried out among 116 HCWs selected using stratified sampling technique. Data were collected using interviewer-administered semistructured questionnaire and observation checklist using Epi Info mobile version 7.2.0.1 (United States Centres for Disease Control and Prevention (CDC), February 2018). Data were analyzed using SPSS software version 23. Results: Respondents of the study were nurses (37.9%), doctors (31.9%), and laboratory (18.1%) and supportive (12.1%) staff. About three-quarter (72.4%) of the HCWs had good knowledge and 62.0% exhibited positive attitude toward hand washing technique, based on the World Health Organization recommendations. Overall, good adherence to proper hand washing was found among 55.2% of the respondents. Respondents’ professional cadre and unit of work, and their level of knowledge and attitude toward proper hand washing practices were shown to be significantly associated with their adherence to the practice (P < 0.05). Conclusion: Individual and institution-level factors were found to influence adherence to proper hand washing practices among the respondents.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".