Nurses’ Perceptions of a Care Plan Information Technology Solution With Hundreds of Clinical Practice Guidelines in Adult Intensive Care Units: Survey Study
Bibliographic record
Abstract
BACKGROUND: The integration of clinical practice guidelines (CPGs) into the nursing care plan and documentation systems aims to translate evidence into practice, improve safety and quality of care, and standardize care processes. OBJECTIVE: This study aimed to evaluate nurses' perceptions of the usability of a nursing care plan solution that includes 234 CPGs. METHODS: A total of 100 nurses from 4 adult intensive care units (ICUs) responded to a survey measuring nurses' perceptions of system usability. The survey included 37 rated items and 3 open-ended questions. RESULTS: Nurses' perceptions were favorable with more than 60.0% (60/100) in agreement on 12 features of the system and negative to moderate with 20.0% (20/100), to 59.0% (59/100) in agreement on 19 features. The majority of the nurses (80/100, 80.0% to 90/100, 90.0%) agreed on 4 missing safety features within the system. More than half of the nurses believed they would benefit from refresher classes on system use. Overall satisfaction with the system was just above average (54/100, 54.0%). Common positive themes from the narrative data were related to the system serving as a reminder for complete documentation and individualizing patient care. Common negative aspects were related to duplicate charting, difficulty locating CPGs, missing unit-specific CPGs, irrelevancy of information, and lack of perceived system value on patient outcomes. No relationship was found between years of system use or ICU experience and satisfaction with the system (P=.10 to P=.25). CONCLUSIONS: Care plan systems in ICUs should be easy to navigate; support efficient documentation; present relevant, unit-specific, and easy-to-find information; endorse interdisciplinary communication; and improve safety and quality of care.
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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 | 0.010 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".