Awareness and Attitude towards Organ Donation among Undergraduates, Interns, Postgraduates in Government Medical College and Hospital, Chandrapur
Bibliographic record
Abstract
Background: This study aims to access the level of awareness and attitude towards organ donation among undergraduate students, interns and postgraduate students in a Government medical college and Hospital, Chandrapur. Methodology: A questionnaire-based cross-sectional study was conducted in July 2024 at a Government medical college and Hospital, Chandrapur, involving 920 undergraduate students, interns, and residents. The study aimed to examine attitudes, awareness levels, and beliefs regarding organ donation. Results: In this cross-sectional study conducted in July 2024 at a Government medical college and Hospital, Chandrapur, 920 participants were surveyed to understand their attitudes and awareness towards organ donation. Among them, 698 (75.8%) were undergraduate students, 78 (8.47%) were residents, and 144 (15.65%) were interns, with an average age of 21±2 years. The study revealed that 79.8% of participants were willing to donate their organs, primarily motivated by a desire to help others in need. Conversely, the main reason for hesitancy towards organ donation was the fear of misuse or trafficking of organs. Interestingly, 60.4% of respondents expressed indifference regarding who receives their organs after donation. Moreover, the survey highlighted gaps in knowledge regarding organ donation laws, with only 38.9% of participants correctly aware of the Transplantation of Human Organs Act, 1994 in India. Furthermore, nearly a quarter (24.9%) of the participants felt that the current educational curriculum lacked sufficient coverage on the topic of organ donation, suggesting a need for enhanced education in this area. Conclusions: The study revealed a strong willingness among participants to donate organs driven by altruistic motives. Concerns about organ misuse were identified as a significant barrier. However, there was limited awareness of organ donation laws, indicating a need for improved education and transparency. Addressing these issues through targeted initiatives could enhance understanding and trust in organ donation processes, potentially increasing donation rates and benefiting those in need of transplants.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".