ABSTRACT
Hepatitis A Virus (HAV) is a significant threat in terms of food safety. A systematic literature search with the research question "What are the clinical outcomes of foodborne Hepatitis A virus infections?" was conducted. The pooled estimate of the outcomes-mortality, hospitalization, and severity rates, along with a 95% confidence interval (CI), was estimated. After screening, 33 studies were included for the data extraction and meta-analysis. The pooled prevalence of hospitalization among the HAV-positive patients was estimated to be 32% (95% CI 21-44), with high heterogeneity (I2 = 98%, p < 0.01). Australia had the highest hospitalization rate, with 82%, followed by Europe (42%). The hospitalization rate showed a significantly increasing trend (beta = 0.015, p=0.002) over the period. The pooled prevalence of mortality among the HAV-positive patients was estimated to be <1%, with low heterogeneity (I2 = 5%, p = 0.39). A wide range of food products were linked with the HAV outbreaks.
ABSTRACT
Background: Substance use is a complex condition with multidimensional determinants. The present study aims to find the prevalence and determinants of substance use among young people attending primary healthcare centers in India. Methods: A multicentric cross-sectional study was conducted across 15 states in India on 1,630 young people (10-24 years) attending primary health centers. The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) was used to capture data on substance use. The degree of substance involvement was assessed and multivariate regression analysis was conducted to determine the risk factors of substance use. Results: The prevalence of substance use was 32.8%, with a median substance initiation age of 18 years. Among the substance users, 75.5% began before completing adolescence. Tobacco (26.4%), alcohol (26.1%) and cannabis (9.5%) were commonly consumed. Sociodemographic determinants included higher age, male gender, urban residence, positive family history, northeastern state residence and lower socioeconomic class. Over 80% of users had moderate or high involvement. Conclusions: High substance use prevalence among young people in Indian healthcare centers underscores the urgency of targeted intervention. Insights on determinants guide effective prevention strategies for this complex public health issue.
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BACKGROUND: Medical students may increasingly use large language models (LLMs) in their learning. ChatGPT is an LLM at the forefront of this new development in medical education with the capacity to respond to multidisciplinary questions. OBJECTIVE: The aim of this study was to evaluate the ability of ChatGPT 3.5 to complete the Indian undergraduate medical examination in the subject of community medicine. We further compared ChatGPT scores with the scores obtained by the students. METHODS: The study was conducted at a publicly funded medical college in Hyderabad, India. The study was based on the internal assessment examination conducted in January 2023 for students in the Bachelor of Medicine and Bachelor of Surgery Final Year-Part I program; the examination of focus included 40 questions (divided between two papers) from the community medicine subject syllabus. Each paper had three sections with different weightage of marks for each section: section one had two long essay-type questions worth 15 marks each, section two had 8 short essay-type questions worth 5 marks each, and section three had 10 short-answer questions worth 3 marks each. The same questions were administered as prompts to ChatGPT 3.5 and the responses were recorded. Apart from scoring ChatGPT responses, two independent evaluators explored the responses to each question to further analyze their quality with regard to three subdomains: relevancy, coherence, and completeness. Each question was scored in these subdomains on a Likert scale of 1-5. The average of the two evaluators was taken as the subdomain score of the question. The proportion of questions with a score 50% of the maximum score (5) in each subdomain was calculated. RESULTS: ChatGPT 3.5 scored 72.3% on paper 1 and 61% on paper 2. The mean score of the 94 students was 43% on paper 1 and 45% on paper 2. The responses of ChatGPT 3.5 were also rated to be satisfactorily relevant, coherent, and complete for most of the questions (>80%). CONCLUSIONS: ChatGPT 3.5 appears to have substantial and sufficient knowledge to understand and answer the Indian medical undergraduate examination in the subject of community medicine. ChatGPT may be introduced to students to enable the self-directed learning of community medicine in pilot mode. However, faculty oversight will be required as ChatGPT is still in the initial stages of development, and thus its potential and reliability of medical content from the Indian context need to be further explored comprehensively.
ABSTRACT
BACKGROUND: Disasters pose various challenges to hospitals' functioning during calamities. Resilient health system is the need of the hour. To work as a safe hospital even during disasters, it is important to sensitize, orient, and train doctors and other medical professionals towards disaster preparedness. This study was conducted to study the knowledge, attitudes, and practices about disaster preparedness among resident doctors. METHODOLOGY: It was a cross-sectional study conducted amongst 363 resident doctors of a tertiary care teaching hospital in Delhi, India. A pretested self-administered semistructured questionnaire was used to gather information. Analysis was done using the SPSS version 21.0 and employing descriptive -statistics. RESULTS: Mean age of the participants was 28.1 ± 2.8 years. Ninety-four (25.9 percent) study participants were found to have good/excellent knowledge about disaster preparedness, only 16.5 percent (60) had good awareness about the hospital's disaster preparedness, and 306 (84.3 percent) study participants had a favorable attitude towards disaster preparedness. Age and educational qualification were found to be significantly associated with knowledge about disaster preparedness. Only 11.6 percent (42) resident doctors attended any mock drill for disaster preparedness in the past 1 year and less than one-fifth (68, 18.7 percent) received training in disaster preparedness. CONCLUSION: A majority of study participants had a favorable attitude in spite of inadequate knowledge and aware-ness about disaster preparedness. There is a need to address this mismatch between knowledge and attitude through regular sensitization and retrainings along with frequent practical drills and simulation exercise.
