HEPATITIS B IN HEALTHCARE WORKERS: TRANSMISSION EVENTS AND GUIDANCE FOR MANAGEMENT
Bibliographic record
Abstract
Introduction: Hepatitis B virus (HBV) remains a significant public health threat worldwide, with healthcare workers, including dental professionals, at high risk of exposure. Despite the availability of effective vaccines and prevention measures, gaps in knowledge, attitudes, and practices towards HBV prevention persist among nurse in Saudi Arabia. This systematic review aimed to evaluate the effectiveness of interventional studies and clinical trials designed to improve HBV awareness, vaccination rates, and adherence to infection control practices among nurses in the Kingdom. Methods: A comprehensive search of PubMed, Scopus, Web of Science, and Embase databases was conducted for interventional studies and clinical trials published in the last five years up to 2022, focusing on HBV prevention among nurse in Saudi Arabia. The review included studies that reported on changes in knowledge, attitudes, practices, or vaccination rates following the intervention. Data were synthesized qualitatively due to the anticipated heterogeneity in study designs and outcomes. Results: Nine interventional studies met the inclusion criteria, showcasing a variety of educational and training interventions. The interventions led to significant improvements in HBV awareness and practices, with risk differences ranging from 10% to 30% for improved adherence to infection control practices and up to 30% increase in vaccination rates post-intervention. The effectiveness of these interventions was particularly pronounced in studies employing active, participatory learning techniques and multifaceted approaches, indicating the value of comprehensive and engaging educational programs in enhancing HBV prevention efforts among Conclusions: The review demonstrates that targeted educational and training interventions can significantly improve knowledge, attitudes, and preventive behaviors towards HBV. The findings support the implementation of multifaceted, interactive educational programs within healthcare settings to reduce the risk of HBV transmission.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".