Assessment of the impact of pharmacist-led face-to-face counselling on HIV/AIDS among school & college going students, and infected patients in south India
Bibliographic record
Abstract
Problem considered Over the past decade HIV/AIDS infection has tremendously increased among young people aged 15–24 years in the developing countries like India. By keeping this in mind, pharmacist counselling could be an essential asset that has been associated with improved health outcomes among public and infected patients as well. Aim To assess the impact of pharmacist-led counselling on HIV/AIDS among school & college going students and infected patients. Methods A prospective intervention survey was conducted by using the simple random sampling technique. A total of 509 participants were sampled i.e., post-secondary school students (98), college students (364), and infected patients (47) respectively and interviewed by the student pharmacist using a pre-designed, semi-structured questionnaire to assess their knowledge regarding HIV/AIDS pre and post-test respectively. Verbal consent from all the participants was obtained before initiating the study. Responses were scored, analyzed and mean score and percentage were used to determine the level of knowledge pre and post-test. Results Of the total 509 survey participants, 246 (48.3%) were males, and 263 (51.7%) were females with a mean age and SD of 24.59 years ± 0.54. The study results noticed that the study participants, especially school students and infected patients were not attentive and conscious about the HIV/AIDS. Conclusion The study results infer that there is an immense need for health education and prevention awareness camps for HIV/AIDS among school & college going students as well as the infected patients in south India.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".