Developing the essential infection control competencies for nurses
Bibliographic record
Abstract
Nurses need to be well prepared and competent in infection control. The aim of this study is to establish the essential infection control competencies required for Newly Graduating Nurses (NGNs) in Australia and Taiwan. A three round modified Delphi technique was used in the study. A questionnaire outlining possible areas of competency and elements of competence, based on a similar study in Canada was developed to draw on the experiences of experts in infection control practice and nursing education in Australia and Taiwan. One hundred and twenty-two participants were invited to participate in the study. Panellists were asked to indicate how highly they rated each element by using a 5 point Likert scale, in terms of their applicability and importance for NGNs. An expert reference group helped to validate the original questionnaire. All research materials were sent via postal mail. Data were analyzed by using SPSS 15.0 software and were content analyzed. Ethical consideration for participants was reviewed. All the competency areas of infection control provided in the survey were thought by panellists as somewhat or very important for NGNs. Sixty-nine elements of competencies reached consensus by panellists via two Delphi rounds. Items that had not achieved consensus in round 2 were included in round 3 in March 2009. The results of this study are expected to make a contribution to future curriculum planning in nursing programmes as well as improve Infection Control standards in health facilities in Australia and Taiwan, with obvious benefits for patients and society more generally.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".