Physiological Knowledge Loss in Fourth-Year Nursing Students
Bibliographic record
Abstract
There is a growing concern that nursing students struggle to retain adequate physiological knowledge throughout their program to meet their entry to practice competencies. However, how much and what knowledge is lost and when this occurs over a four-year undergraduate Bachelor of Science in Nursing program remains to be evaluated. Moreover, physiological knowledge retention has not been studied as extensively as anatomical knowledge retention in health care disciplines, including nursing programs (Narnaware, Y., 2021). Most of these studies are conducted after graduation (Aari et al., 2004) or focused on very limited systems (Pourshanazari et al., 2013). The present study aims to evaluate the level of physiological knowledge loss by nursing students in the fourth year between completing their physiology course in first-year nursing and fourth-year Critical Care nursing course . To evaluate physiological knowledge loss in the fourth year, nursing students were quizzed on ten organ systems using the online quizzing platform- Kahoot. Approximately nine to eleven knowledge and comprehension-level multiple-choice questions were delivered via kahoot. Then, these scores were compared to first-year quiz scores on the same content to determine overall knowledge loss over three years. Using SPSS II, the data was analyzed, and means were compared using 2-sample t-tests. The scores are described for each organ system by reporting the mean and standard deviation (±SD) with statistical significance set at P < 0.05 for all tests. The mean score of questions from all organ systems in year one was 62.89 ± 10.49 (±SD). Comparing that score to matched test items evaluated in the Critical Care course, there is a decrease in the overall mean score from 62.89 ± 10.49 (±SD) to 47.69 ± 8.23 (±SD). This equates to a 15.2% knowledge loss or 84.8% retention rate within three years. Organ-specific knowledge loss was highest for fluid and electrolytes (30.7%), hormones (28.6%), defences (22.5%), and reproductive physiology (22.5%), followed by renal physiology (19.7%). Knowledge loss was comparatively lower for blood (15.9%), inflammation (11.2%), vascular (7.5%) and respiratory physiology (4.7%). However, this loss was lowest for digestive physiology (-3.7%). The results of this study demonstrate a lower level of knowledge loss overall, with variations in loss being system-specific. The level of knowledge loss in the present study was significantly lower than previously reported in medical and allied health students (Pourshanazari et al., 2013) and lowest than anatomical knowledge retention levels in the same population (Narnaware and Neumeier, 2021). However, compared to the third year, knowledge loss in the fourth year is not significantly different (Narnaware et al., 2021). Applied for Teaching Physiology Section- Travel Fellowship Award. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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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 | 0.000 | 0.003 |
| 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 | 0.000 |
| 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 | 0.001 |
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 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".