Immunization training modules: Identifying student nurse learning
Bibliographic record
Abstract
Background and objective: Despite the importance of vaccination in disease prevention some people choose to remain unvaccinated. Nurses are influential in the choice to vaccinate. Considering the possibility of poor public understanding of vaccines and need for continued improvement in vaccination rates, it is essential for nurses to be knowledgeable and adept at addressing vaccine concerns, especially since the COVID-19 pandemic. Vaccination education formally begins in nursing school. The objective of this study was to identify nursing students’ vaccine understanding by exploring information learned from formal online vaccine education specifically the Nursing Initiative Promoting Immunization Training Modules (NIP-IT).Methods: Nursing students enrolled in a Community Health Nursing course were required to complete three online, self-study, modules entitled Vaccine Preventable Diseases, Vaccine Concerns, and Nursing Roles. The nursing students who completed these modules responded, in writing, to an open-ended prompt asking them to identify what new piece of information they learned. Responses gathered from 244 nursing students between September of 2016 and April of 2018 were categorized and grouped according to theme using a first and second cycle coding process. Responses containing more than one idea were considered separate responses and categorized accordingly totaling 273 responses.Results: Nursing student responses revealed five major themes regarding new information learned from the online modules: (1) barriers to vaccination; (2) components of vaccines; (3) the influence of nurses; (4) vaccine-preventable diseases; and (5) community immunity.Conclusions: Formal vaccine education is a critical component of a comprehensive nursing program. The nursing students in this study described information they learned when completing the NIP-IT modules, thus it was inferred the nursing students did not have a full understanding of vaccine concepts prior to viewing the modules. Formal nursing school vaccine education is essential in developing nurses capable of navigating vaccine issues and promoting health and preventing disease through vaccination advocacy.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".