Nurses' engagement in AIDS policy development
Bibliographic record
Abstract
BACKGROUND: A multidisciplinary team of 20 researchers and research users from six countries - Canada, Jamaica, Barbados, Kenya, Uganda and South Africa - are collaborating on a 5-year (2007-12) program of research and capacity building project. This program of research situates nurses as leaders in building capacity and promotes collaborative action with other health professionals and decision-makers to improve health systems for human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) nursing care. One of the projects within this program of research focused on the influence of workplace policies on nursing care for individuals and families living with HIV. Nurses are at the forefront of HIV prevention and AIDS care in these countries but have limited involvement in related policy decisions and development. In this paper, we present findings related to the barriers and facilitators for nurses' engagement in policymaking. METHODS: A participatory action research design guided the program of research. Purposive sampling was used to recruit 51 nurses (unit managers, clinic and healthcare managers, and senior nurse officers) for interviews. FINDINGS: Participants expressed the urgent need to develop policies related to AIDS care. The need to raise awareness and to 'protect' not only the workers but also the patients were critical reason to develop policies. Nurses in all of the participating countries commented on their lack of involvement in policy development. Lack of communication from the top down and lack of information sharing were mentioned as barriers to participation in policy development. Resources were often not available to implement the policy requirement. Strong support from the management team is necessary to facilitate nurses involvement in policy development. CONCLUSIONS: The findings of this study clearly express the need for nurses and all other stakeholders to mobilize nurses' involvement in policy development. Long-term and sustained actions are needed to address gaps on the education, research and practice level.
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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 | 0.038 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| 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".