Knowledge of Human Papillomavirus (HPV), Attitudes and Practices Towards Anti-HPV Vaccination Among Israeli Pediatricians, Gynecologists, and Internal Medicine Doctors: Development and Validation of an Ad Hoc Questionnaire
Bibliographic record
Abstract
Human papillomavirus (HPV) is a highly widespread virus which is responsible for one of the most common sexually transmitted infections. Two main preventative strategies exist: anti-HPV vaccination and cervical screening. Health-care workers play a key role in promoting public health campaigns; however, vaccine hesitancy is an often under-recognized challenge. To investigate the overall knowledge of HPV and HPV-related issues, as well as the attitudes and practices of health professionals towards recommending the anti-HPV vaccine, an ad hoc knowledge, attitudes, and practices (KAP) questionnaire was developed and validated in a sample of 139 Israeli pediatricians, gynecologists, and internal medicine doctors. The KAP questionnaire was found to be psychometrically valid and sound (with an rKR-20 coefficient of 0.74 for the second part and a Cronbach’s alpha of 0.85 for the third part). Furthermore, the present study confirmed the importance of health-care providers in recommending the immunization practice. Parents that had been strongly advised by health-care providers to vaccinate their children accepted immunization for their girls (odds ratio (OR) 1.09 (95% CI 1.04–1.14)) and boys (OR 1.06 (95% CI 1.02–1.10)), had a lower probability of deciding to postpone the immunization appointment (OR 0.81 (95% CI 0.66–0.98)), had fewer doubts and concerns about the vaccine (OR 0.69 (95% CI 0.54–0.89)), and had a lower probability of refusing the vaccination (OR 0.93 (95% CI 0.86–0.99)). Interestingly, the use of new, emerging tools such as ad hoc websites, applications, and other interactive devices reduced vaccine hesitancy (OR 0.90 (95% CI 0.82–0.99)) and concerns about the side-effects of the vaccine (OR 0.92 (95% CI 0.86–0.99)). However, among Israeli health-care workers, knowledge was generally moderate, with updated information lacking in about 30% of surveyed health-care providers and approximately 20% of them not recommending the anti-HPV vaccine among boys. This study has practical implications for policy- and decision-makers in that they should be aware of the overall level of knowledge among health-care workers and should implement ad hoc educational interventions to address gaps in knowledge and help medical providers routinely recommend the anti-HPV vaccine both to male and female children and adolescents.
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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 | 0.001 | 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) | 0.001 | 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".