Health visitors' knowledge and attitudes relating to HIV and AIDS.
Bibliographic record
Abstract
Infection with human immunodeficiency virus (HIV) is increasing in the heterosexual community and people already affected by HIV are living longer. As a result, health visitors will be more involved in caring for people with HIV and acquired immune deficiency syndrome (AIDS). The aim of this study was to assess the knowledge level of health visitors about HIV infection and AIDS, and to identify some of the attitudes held by them concerning AIDS and the variety of symptoms that can occur in HIV positive individuals (AIDS related complex) before they have actually developed AIDS. The influence of AIDS-related education and the experience of caring for affected patients on health visitors' knowledge of the disease was assessed. The attitudes of carers towards these patients were also ascertained. All heath visitors (n = 88) working in the Merton and Sutton Community Healthcare Trust were invited to participate in a questionnaire survey. Fifty-five health visitors participated. Knowledge relating to HIV and AIDS was good, but the majority of respondents felt they did not have all the information they needed about HIV and AIDS. Almost one-quarter of respondents had cared for a client who was either HIV positive or had AIDS. Overall, the findings were quite encouraging. However, further education, training, and support were identified as necessary. These shortfalls need to be addressed in order to fully assist health visitors in their role of caring for clients and families affected by HIV and AIDS.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".