RESUMO
Introduction: As reported by the World Health Organization (WHO), annually, there are 1.5 million new infections, with more than 290 million people living with chronic hepatitis B diseases in 2019. Medical students (MSs), a subgroup of health care workers (HCWs), are at high occupational risk for HBV infection since HCWs have a 2-10 times greater risk of getting the virus than the general population. Therefore, they must have a broad understanding of hepatitis B infection. In this study, we aimed to assess the level of knowledge, attitude, and practices among MSs, and to explore its predictors. Methodology. A descriptive cross-sectional research was done among MSs, those who finished their infectious disease course. MSs were asked to participate in a self-administered online-structured questionnaire. Results: 612 MSs were enrolled in our study. 67.5% were females, and 36.9% were in their 6th year. Around half of the participants held a high level of knowledge, attitude, and practices toward HBV infection. MSs in the last year of the study who encountered HBV patients showed to have better knowledge. Male MSs who encountered HBV patients and took extra HBV courses showed better attitudes. High practice level among MSs was associated with being in the 6th year and taking extra HBV courses. Conclusions: This study demonstrated a satisfactory level of knowledge, attitude, and practices toward HBV infection among MSs. However, awareness must be enhanced in some areas especially transmission routes of HBV. Thus, it will strengthen the level of attitude and practices to omit the effect of the stigma while delivering care to HBV patients.
RESUMO
BACKGROUND: Determining genetic susceptibility for cancer predisposition syndromes (CPS) through cancer predisposition genes (CPGs) testing is critical in facilitating appropriate prevention and surveillance strategies. This study investigates the use of ChatGPT, a large language model, in predicting CPGs using clinical notes. METHODS: Our study involved 53 patients with pathogenic CPG mutations. Two kinds of clinical notes were used: the first visit note, containing a thorough history and physical exam, and the genetic clinic note, summarizing the patient's diagnosis and family history. We asked ChatGPT to recommend CPS genes based on these notes and compared these predictions with previously identified mutations. RESULTS: Rb1 was the most frequently mutated gene in our cohort (34%), followed by NF1 (9.4%), TP53 (5.7%), and VHL (5.7%). Out of 53 patients, 30 had genetic clinic notes of a median length of 54 words. ChatGPT correctly predicted the gene in 93% of these cases. However, it failed to predict EPCAM and VHL genes in specific patients. For the first visit notes (median length: 461 words), ChatGPT correctly predicted the gene in 64% of these cases. CONCLUSION: ChatGPT shows promise in predicting CPGs from clinical notes, particularly genetic clinic notes. This approach may be useful in enhancing CPG testing, especially in areas lacking genetic testing resources. With further training, there is a possibility for ChatGPT to improve its predictive potential and expand its clinical applicability. However, additional research is needed to explore the full potential and applicability of ChatGPT.
RESUMO
The World Health Organization has estimated that around 66 thousand HBV infection cases are caused by needlestick injuries annually. Healthcare students should be aware of HBV transmission routes and preventive measures. This study assessed the knowledge, attitudes, and practices toward HBV among Jordanian healthcare students and its associated factors. A cross-national study was conducted from March to August 2022. The questionnaire was composed of four sections: participants' sociodemographics, knowledge, attitudes, and practices about HBV, and 2322 participants were enrolled. The collected responses were analyzed with SPSS software (version 25 (IBM Corp., Armonk, NY, USA)) using descriptive statistics, unpaired t-tests, chi-square tests, and multivariate regression analyses. A p-value ≤ 0.05 was considered statistically significant. The results showed that 67.9% were females, 26.4% were medical students, and 35.9% were in their 3rd year. Overall, 40% of the participants held high levels of knowledge and attitudes. Further, 63.9% of participants had good practices toward HBV. Gender, year of study, encountering HBV patients, college, and having extra HBV courses were associated with high levels of KAP. This study demonstrated insufficient knowledge and attitudes toward HBV; however, the practice level toward HBV among healthcare students was promising. Therefore, public health efforts should modify the knowledge and attitude gaps to reinforce awareness and minimize the risk of infection.
