Understanding nursing perceptions of intravenous fluid management practices
Bibliographic record
Abstract
PURPOSE: Intravenous (IV) fluids are routinely used in hospitalized patients. As IV fluids are an everyday occurrence, their importance is often overlooked. Many patients receive large volumes of fluid during resuscitation to aid in the promotion of tissue perfusion. Nurses regularly administer IV fluids as part of maintenance infusions or as life-saving therapies and, therefore, need to understand these fluids' impact on their patients. Understanding nurses' existing perceptions of IV fluid management practices are crucial to improving practice. METHODS: This study used an online survey to gather information on nursing perceptions of IV fluids. Four hundred and sixty-two Canadian nurses from diverse backgrounds were surveyed, including registered nurses, licensed practical nurses and student nurses. RESULTS: The study found that the majority of participants agreed that IV fluids, including type, amount, and rationale for infusion, were important. They also agreed that fluids could impact patient outcomes. However, the study found that, despite recognizing the value and importance of fluid management, many nurses struggled with recognizing how to determine a patient's fluid status versus fluid responsiveness. CONCLUSION: This study supports improving nursing education to understand better the differences between fluid volume status and volume responsiveness. Our study also provides evidence that nurses need access to more sophisticated tools to conduct dynamic assessments and better meet patients' needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
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".