Exploring the Knowledge Levels, Attitudes and Beliefs of Patients’ Relatives Towards Organ Donation in the Intensive Care Units of Two Majors Hospitals in Trinidad
Bibliographic record
Abstract
Purpose: To ascertain the Knowledge levels, Attitudes and Beliefs towards Organ Donation by Relatives of Patients in the Intensive Care Unit at two Tertiary Care Hospitals in Trinidad. Methods: A quantitative descriptive study in which the researchers’-designed and pretested self-administered questionnaire was used on a sample of 133 randomly selected patients’ relatives from two main intensive care hospitals units of Trinidad. The respondents were requested to give their consent after necessary ethical approval was received. Data entry was done manually but the analysis was done with the SPSS version 12 programme. Results were presented as frequencies. Results: Demographic characteristics indicate that most were females, of African ethnicity, and Christianity as their main religion. The majority of participants had high level of knowledge (69.2%) while 57.9% of them had unfavourable attitude towards organ donation. Most (86.5%) had positive belief. It also showed that the respondents’ knowledge towards organ donation is significantly related to their age and religion, (P≤, 0.05) while their attitudes are significantly related to their gender and ethnicity (p≤0.05). Their belief is only significantly associated with their marital status. Discussion: The findings of the study were compared with previous studies and the researchers showed how the relevant theories that guided the study were used to explain the findings. Conclusion: Based on the findings, the researchers made a number of recommendations particularly related to public education in attempt to address the attitudes of the public related to organ donation in Trinidad and Tobago.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".