Knowledge of and attitude toward human papillomavirus infection and vaccines among female nurses at a tertiary hospital in Nigeria
Bibliographic record
Abstract
BACKGROUND: Persistent infection with high-risk types of human papillomavirus (HPV) is a prerequisite for the development of cervical cancer. Highly immunogenic HPV vaccines have been developed and licensed for the primary prevention of cervical cancer in some developed and developing countries. This calls for assessment of the knowledge of the HPV infection and the acceptability of the HPV vaccines among health care providers. OBJECTIVE: The aim of this study was to assess awareness and knowledge of HPV infection and vaccines and to assess attitude toward these vaccines among female nurses at Lagos University Teaching Hospital, Lagos, Nigeria. STUDY DESIGN: The study was a cross-sectional, descriptive study using a pretested, structured, anonymous, self-administered, 19-item questionnaire. RESULTS: A total of 178 female nurses were interviewed during a 4-week period. The mean age of respondents was 37.1 ± 3.1 years. Almost all (99.4%) of the respondents had heard of cervical cancer, while about 85% of them had heard of HPV infection. Only a quarter (25.3%) of respondents had heard of the HPV vaccines, and of those only 26.7% knew the vaccines were for the prevention of cervical cancer. Most (70.2%) of the nurses expressed a desire to be vaccinated and 120 (67.4%) supported the vaccination of preadolescent girls. Those who expressed a willingness to be vaccinated were more likely to recommend HPV vaccination for preadolescent girls. CONCLUSION: Overall, there was a poor knowledge of the HPV vaccines among female nurses at Lagos University Teaching Hospital. Despite this poor knowledge, most of the nurses expressed a strong desire to be vaccinated and their intention to recommend it for preadolescent girls. The main reason given overall for not recommending the vaccines was lack of information. There is an urgent need to bridge this information gap.
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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 | 0.000 |
| 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".